Date of the webinar: 9th June 2021
Youtube link: https://youtu.be/Y1YP2EtVgvU
---
Dr Matthew Reynolds, HeDWIC leader, Distinguished Scientist at the International Maize heatwaves and Wheat Improvement Centre, and GPC board member will share in this webinar the history of HeDWIC how the network came to be and funded, its aims and future projects.
---
Climate change is creating hotter and drier environments, and our food crops are struggling to survive in these more extreme conditions. The number of extreme weather events – droughts and included – have tripled in fewer than 40 years (since 1980), causing huge damage or loss to entire crops.
The Heat and Drought Wheat Improvement Consortium (HeDWIC) is a network that facilitates global coordination of wheat research to adapt to a future with more severe weather extremes, specifically heat and drought. It delivers new technologies to wheat breeders worldwide via the International Wheat Improvement Network (IWIN), coordinated for more than half a century by the International Maize and Wheat Improvement Center.
Website: https://hedwic.org/
Evaluation of Advanced Potato (Solanum tuberosum L.) Clones for High Tuber yi...AI Publications
In this study selected potato clones were evaluated for acceptable processing tuber attributes with yield. The most important processed potato products in the country are French fries (chips), followed by crisps. The demand for these products has increased over the years and therefore require more effort to develop varieties with appropriate qualities for the rapidly developing industry. Therefore, the experiments were conducted from 2016 to 2019 at multiple locations in the central, northwestern and south-eastern regions of Ethiopia to evaluate the performance of seven (7) advanced potato genotypes breed at the International Potato Center (CIP) and three nationally released potato varieties for high tuber yield and processing qualities during the main cropping season, June to September. The experiment was laid out in a randomized complete block design with three replications in four locations over three years. The main objective of the experiments was to select high-yielding potato clones, with suitability for processing in four agro-ecological regions of the country. Data were collected on average tuber number, tuber weight, number and weight of marketable and unmarketable tubers,and total tuber yield. Tuber physicochemical properties, dry matter content (DM), specific gravity (SG), starch content (SC), and processing products after harvests were evaluated. Moreover, the frying suitability test (IBVL) and crispness/ texture/ for the product were evaluated. Analysis of variance was performed and treatment means were compared using the Duncan multiple range test. The results revealed that there were significant differences (p<0.05) among potato clones with respect to total and marketable tuber yields, dry matter content, and specific gravity. The highest total and marketable tuber yields were obtained from Holetta and Kulumsa, while Adet and Jeldu recorded the lowest. The growing season effect on clones marketable and total tuber yield, average tuber number and weight showed highly significant. The over locations mean for total and marketable tuber yield for CIP-398190.404 was 39.90 t/ha & 35.71 t/ha, respectively followed by CIP-391058.175 with 33.31 t/ha & 30.81 t/ha. Whereas, CIP-396034.103 gave 33.77t/ha and 28.84t/ha total tuber yield and marketable tuber yield, respectively. Tuber dry matter (DM) of 25.8, 24.3, and 25.7% was recorded, respectively. While, the specific gravity (SG) of 1.09, 1.08, and 1.09 g/cm3 were obtained, respectively. The frying suitability test (IBVL) value showed that CIP-396034.103, (8.5) followed by CIP-398190.404, (7.5) and CIP-391058.175, (7.0). Among the evaluated clones, three cultivars had overall acceptable DM, SG, and frying suitability test (IBVL) for French fries and crisp processing. Thus, among the tested clones, CIP-391058.175 was registred as the first processing variety in Ethiopia.
Essential Role of Crop Landraces for World Food Security by S Alan Walters in...CrimsonpublishersMCDA
Cereal grain crops provide most of the energy calories for humans worldwide, and landraces of these crops remain deeply intertwined into the traditions and cultures of many of the world’s rural communities. However, due to recent new variety development activities resulting from the “Green Revolution”, landraces are in serious jeopardy of being totally lost within the next 50 years. The reduced use of landraces can be traced back to the beginnings of the “Green Revolution”, when there was a substantial worldwide increase in the use of new modern cereal crop varieties that provided increased productivity compared to the varieties that were currently in use that had limited genetic improvements.
https://crimsonpublishers.com/mcda/fulltext/MCDA.000523.php
For more open access journals in Crimson Publishers please click on link: https://crimsonpublishers.com
For more articles on open access journals of Agronomy please click on below link: https://crimsonpublishers.com/mcda/
Presentation delivered by Dr. Hans-Joachim Braun (Global Wheat Program, CIMMYT) at Borlaug Summit on Wheat for Food Security. March 25 - 28, 2014, Ciudad Obregon, Mexico.
http://www.borlaug100.org
Identifying and closing global yield gaps in canola. A view from AustraliaGlobal Plant Council
"Enhancing Global Collaborations in Crop Science" GPC Symposium on 4th Nov. 2018 , CSSA/ASA Annual meeting In Baltimore USA.
Julianne Lilley CSIRO Agriculture and Food Australia. Identifying and closing global yield gaps in canola. A view from Australia
Potential of-moringa-oleifera-as-livestock-fodder-cropSilentdisco Berlin
Moringa is a plantfood of high nutritional value, ecologically and economically beneficial and readily available in the countries hardest hit by the food crisis. http://miracletrees.org/ http://moringatrees.org/
Date of the webinar: 9th June 2021
Youtube link: https://youtu.be/Y1YP2EtVgvU
---
Dr Matthew Reynolds, HeDWIC leader, Distinguished Scientist at the International Maize heatwaves and Wheat Improvement Centre, and GPC board member will share in this webinar the history of HeDWIC how the network came to be and funded, its aims and future projects.
---
Climate change is creating hotter and drier environments, and our food crops are struggling to survive in these more extreme conditions. The number of extreme weather events – droughts and included – have tripled in fewer than 40 years (since 1980), causing huge damage or loss to entire crops.
The Heat and Drought Wheat Improvement Consortium (HeDWIC) is a network that facilitates global coordination of wheat research to adapt to a future with more severe weather extremes, specifically heat and drought. It delivers new technologies to wheat breeders worldwide via the International Wheat Improvement Network (IWIN), coordinated for more than half a century by the International Maize and Wheat Improvement Center.
Website: https://hedwic.org/
Evaluation of Advanced Potato (Solanum tuberosum L.) Clones for High Tuber yi...AI Publications
In this study selected potato clones were evaluated for acceptable processing tuber attributes with yield. The most important processed potato products in the country are French fries (chips), followed by crisps. The demand for these products has increased over the years and therefore require more effort to develop varieties with appropriate qualities for the rapidly developing industry. Therefore, the experiments were conducted from 2016 to 2019 at multiple locations in the central, northwestern and south-eastern regions of Ethiopia to evaluate the performance of seven (7) advanced potato genotypes breed at the International Potato Center (CIP) and three nationally released potato varieties for high tuber yield and processing qualities during the main cropping season, June to September. The experiment was laid out in a randomized complete block design with three replications in four locations over three years. The main objective of the experiments was to select high-yielding potato clones, with suitability for processing in four agro-ecological regions of the country. Data were collected on average tuber number, tuber weight, number and weight of marketable and unmarketable tubers,and total tuber yield. Tuber physicochemical properties, dry matter content (DM), specific gravity (SG), starch content (SC), and processing products after harvests were evaluated. Moreover, the frying suitability test (IBVL) and crispness/ texture/ for the product were evaluated. Analysis of variance was performed and treatment means were compared using the Duncan multiple range test. The results revealed that there were significant differences (p<0.05) among potato clones with respect to total and marketable tuber yields, dry matter content, and specific gravity. The highest total and marketable tuber yields were obtained from Holetta and Kulumsa, while Adet and Jeldu recorded the lowest. The growing season effect on clones marketable and total tuber yield, average tuber number and weight showed highly significant. The over locations mean for total and marketable tuber yield for CIP-398190.404 was 39.90 t/ha & 35.71 t/ha, respectively followed by CIP-391058.175 with 33.31 t/ha & 30.81 t/ha. Whereas, CIP-396034.103 gave 33.77t/ha and 28.84t/ha total tuber yield and marketable tuber yield, respectively. Tuber dry matter (DM) of 25.8, 24.3, and 25.7% was recorded, respectively. While, the specific gravity (SG) of 1.09, 1.08, and 1.09 g/cm3 were obtained, respectively. The frying suitability test (IBVL) value showed that CIP-396034.103, (8.5) followed by CIP-398190.404, (7.5) and CIP-391058.175, (7.0). Among the evaluated clones, three cultivars had overall acceptable DM, SG, and frying suitability test (IBVL) for French fries and crisp processing. Thus, among the tested clones, CIP-391058.175 was registred as the first processing variety in Ethiopia.
Essential Role of Crop Landraces for World Food Security by S Alan Walters in...CrimsonpublishersMCDA
Cereal grain crops provide most of the energy calories for humans worldwide, and landraces of these crops remain deeply intertwined into the traditions and cultures of many of the world’s rural communities. However, due to recent new variety development activities resulting from the “Green Revolution”, landraces are in serious jeopardy of being totally lost within the next 50 years. The reduced use of landraces can be traced back to the beginnings of the “Green Revolution”, when there was a substantial worldwide increase in the use of new modern cereal crop varieties that provided increased productivity compared to the varieties that were currently in use that had limited genetic improvements.
https://crimsonpublishers.com/mcda/fulltext/MCDA.000523.php
For more open access journals in Crimson Publishers please click on link: https://crimsonpublishers.com
For more articles on open access journals of Agronomy please click on below link: https://crimsonpublishers.com/mcda/
Presentation delivered by Dr. Hans-Joachim Braun (Global Wheat Program, CIMMYT) at Borlaug Summit on Wheat for Food Security. March 25 - 28, 2014, Ciudad Obregon, Mexico.
http://www.borlaug100.org
Identifying and closing global yield gaps in canola. A view from AustraliaGlobal Plant Council
"Enhancing Global Collaborations in Crop Science" GPC Symposium on 4th Nov. 2018 , CSSA/ASA Annual meeting In Baltimore USA.
Julianne Lilley CSIRO Agriculture and Food Australia. Identifying and closing global yield gaps in canola. A view from Australia
Potential of-moringa-oleifera-as-livestock-fodder-cropSilentdisco Berlin
Moringa is a plantfood of high nutritional value, ecologically and economically beneficial and readily available in the countries hardest hit by the food crisis. http://miracletrees.org/ http://moringatrees.org/
Australia's food system is highly dependent on foreign crop diversityColin Khoury
The food crops that are now produced or consumed in Australia were initially domesticated and evolved over time in specific geographic regions across the planet. Genetic diversity within these crops and their wild relatives is considered to be historically particularly rich within these regions. Loss of this genetic diversity in the past century has increased the importance of conservation in genebanks where these genetic resources can be made available for present and future crop improvement. Here we assess the degree to which the food supplies and agricultural production systems of Australia are comprised of crops from different regions of diversity worldwide. We determine the level of dependence of the country upon crops from regions of diversity other than its own (“foreign crops”). Australia’s food system is comprised of a broad range of crops originating in regions distributed around the world. The country is extremely dependent on foreign crops in its food supplies (93% as a mean across food supply variables) and in its national production systems (99.8%). Direct measures of genetic resources distributions from the Australian Grains Genebank and from internationally important genebanks to Australian recipients confirm the broad use of foreign genetic resources in research and breeding. These studies bolster evidence for the need for effective national and international policies to promote genetic resource conservation globally and facilitate exchange internationally.
Correlations and Path Analysis of Some Quantitative and Qualitative Character...ijtsrd
Durum wheat is the second most important triticum species next to bread wheat. Ethiopia is one of the centers of diversity for durum wheat. The present study was to determine the interrelationship and direct and indirect effects of yield component traits on grain yield of Ethiopian landraces durum wheat for further breeding activities of yield improvement. Out, 97 durum wheat accessions along with 3 improved varieties were evaluated in 10 x 10 simple lattice design during 2018 main cropping season at Mata Sub site of Haro Sabu Agricultural Research Center. Analysis of variance revealed highly significant differences among accessions for all traits. More than 36 of accessions were superior in mean grain yield than the standard checks. Grain yield exhibited positive and significant correlation both at genotypic and phenotypic level with most of the characters such as plant height rp = 0.22, rg = 0.25 , harvest index rp=0.79, rg = 0.78 , biological yield rp = 0.31, rg = 0.30 , number of kernels per spike rp = 0.17, rg = 0.21 , spike length, rp = 0.36, rg = 0.39 , and hectoliter weight kg hl 1 rp = 0.44, rg = 0.45 . The association between yield, and yield related characters through phenotypic genotypic path coefficients revealed that biological yield, spike length, harvest index and plant height exerted highest positive direct effect on grain yield. This suggests that simultaneous improvement in these characters might be possible Zewdu Tegenu | Dagnachew Lule | Gudeta Nepir "Correlations and Path Analysis of Some Quantitative and Qualitative Characters in Durum Wheat (Triticum Turgidum L.) Accessions in Western Oromia, Ethiopia" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28112.pdf Paper URL: https://www.ijtsrd.com/engineering/agricultural-engineering/28112/correlations-and-path-analysis-of-some-quantitative-and-qualitative-characters-in-durum-wheat-triticum-turgidum-l-accessions-in-western-oromia-ethiopia/zewdu-tegenu
Influence of cowpea and soybean intercropping pattern and time of planting on...Premier Publishers
The study was conducted to determine influence of cowpea and soybean intercropping pattern and time of planting on yield and Gross Monetary Value (GMV) of sorghum. The treatments were included two legume crops, two time of planting, three planting patterns of legumes and sole crops (sorghum, soybean and cowpea). The experiment was conducted in randomized complete block design with three replication. Sorghum/soybean cropping system reduced sorghum grain yield by 23.9% where as sorghum/cowpea reduced by grain yield by 40.3%. The highest LER (1.55) and the lowest LER (1.19) was recorded in sorghum/soybean and sorghum/cowpea intercropping system. Highest gross monetary benefit (20561 Ethiopian birr) accrued from planting two rows of cowpea with the first weeding of sorghum in between the two rows of sorghum. However, it was at par with simultaneous planting of cowpea in double alternate plants within sorghum plants along with two rows of cowpea in between sorghum rows and two rows of soybean planted in between two rows of sorghum with first weeding of sorghum. Legumes crop soybean and cowpea should involved in sorghum cropping either simultaneously planting or sowing at first weeding or hoeing of sorghum.
Incremental transformation: systems agronomy in dryland farming systemsGlobal Plant Council
"Enhancing Global Collaborations in Crop Science" GPC Symposium on 4th Nov. 2018 , CSSA/ASA Annual meeting In Baltimore USA.
John Kirkegaard CSIRO Agriculture and Food Australia. Incremental transformation: systems agronomy in dryland farming systems
AN OVERVIEW of the CHALLENGES of AGRICULTURAL RESEARCH in SUB-SAHARAN AFRICA:...Premier Publishers
This study, analyzes the challenges of national agricultural research institutions (NARIs) in Eritrea from organizational perspective. It examines the institutional and research capacities, and the human and financial capabilities of NARIs. The data for this study was taken from a study conducted in June 2017 in the Ministry of Agriculture. The study used both survey and case study methodologies. The study seeks to answer the following two research questions: what are the challenges of NARIs in Eritrea? What can be learned from the experience of SSA countries NARIs? In this study, it is found that NARI has inadequate human, material and financial resources and limited research agenda. NARI has shortage of operational funding and trained personnel in specialized areas, which require higher education level. The current agricultural research system under NARI is less responsive to the various challenges and constraints of agricultural production and development in Eritrea. NARI should focus on participatory demand driven research methodology and integrate the needs of small-scale and commercial farmers, and improve its management, planning, monitoring and evaluation systems, including physical and human capital, and its research agenda. There is a need for the development of strategy that integrates elements that reinforce and build the present capacity of the agricultural research system.
The long run impact of climate change on the productivity of major crops in the districts of Punjab is analyzed for the time period of 1970 to 2010. This study used deviations from average maximum annual temperature and deviations from average rainfall are used as indicators for climate change. While other variables include sale price, fertilizer use and number of tube wells. In order to incorporate long timer periods, this study used Panel ARDL model. The results show that cotton productivity is more positively sensitive to price changes; an increase in temperature, tube wells and fertilizers while wheat productivity is more positively sensitive to the rainfall in the long run. Consequently, in the short run, wheat productivity equilibrium is faster converging. Hence deviations from average rainfall are harmful to cotton crop in the long run and cotton & wheat in the short run, while deviations in maximum temperature is only harmful for cotton crop in the short run.
Intercropping of Haricot Bean (Phaseolus vulgaris L.) with stevia (Stevia reb...paperpublications3
Abstract: Field experiment was conducted in the consecutive two cropping seasons (2011-2012 and 2012-2013) to investigate Haricot Bean based farming system by inclusion of Stevia. The experiment was laid out in randomized complete block design with five replications. The results showed that the yields of haricot bean were not significantly decreased with the increase of stevia population. Sole planting of stevia was superior to other intercropped treatments and produced 20035.3 kgha-1, 41859 kgha-1 and 30947 kgha-1 above ground biomass yield (total of three harvesting cycle), 12439.47 kgha-1, 26296.2kgha-1 and 19367.8 kgha-1 leaf fresh weight (total of the three harvesting cycle) and 3450.71kgha-1, 7570.3kgha-1 and 5510.5kgha-1 leaf dry weight (total of the three harvesting cycle) in the consecutive two cropping season and the pooled mean respectively. The LER and MAI indicating the practice of intercropping of haricot bean with stevia was more advantageous than the conventional monoculture crop. Even if significant yield difference was not observed for haricot bean among the treatment, haricot bean intercrop with 80% stevia mix proportion with LER of 1.43 and MAI of 88278 followed by 60% stevia mix proportion with LER of 1.34 and MAI of 62027 proved to be best than planted at sole indicating the practice of haricot bean–stevia intercropping was more advantageous and profitable than the conventional monoculture crop.
Keywords: Haricot Bean, Intercropping, Land Equivalent Ratio, Monetary Advantage, Stevia rebaudiana, Supplementary.
Improving Grain Yield in Rice (Oryza Sativa L.) by Estimation of Heterosis, G...Galal Anis, PhD
The recent approach for rice production includes the improvement of yield is necessary to cater for consumer demand. Therefore, a field experiment (diallel analysis) was conducted and Training Center, Egypt during 2014 and 2015growing season to estimate combining ability, heterosis and genetic parameters in ricefor improving the yield. Th and Sakha105 were recorded highest mean values for most traits. The crosses (Giza177 × Sakha106, Sakha101 × Sakha104 and Sakha101 × Gz7576-10-3-2-1) were recorded highest mean values for grain yield plant-1.Sakha106 and Sakha104 recorded the highest mean values for flag leaf area. evident from the result, a positive correlation was observed between flag leaf area and grain yield as well as, the results were recorded positively correlation coefficient between n to heading, number of filled grains panicle-1 and 1000-grain weight. cross Sakha 101/Sakha 104, Sakha 104/Sakha 106, Sakha 105/BL1 and Sakha 106/BL1 were identified as themost promising cross for developing high yielding rice varieties and could be further benefits to isolate superior transgressive segregants for breeding programs
Factors Affecting Adoption and its Intensity of Malt Barley Technology Packag...Premier Publishers
Enhancing the probability of adoption and its intensity is not an easy task because there are numerous factors that affect producers’ adoption decision. Hence, the study was aimed to investigate the factors that affect adoption and intensity of adoption among malt barley producers in southern Ethiopia. Using random sampling technique, 251 smallholder malt barley producers were selected to collect primary data through semi-structured questionnaires. Descriptive statistics and econometrics model (Tobit model) methods were used for data analysis. The study identified five major malt barley technology packages in the study area. Such practices are; improved seed, seeding rate, fertilizer rate, plowing frequency and row planting. Thus, non-adopter accounted for 7.5% of total sample, partial adopter (50.2%), fully adopter (42.3%) and intensity ranges from 0.12-0.84 for partially adopter and 0.85-0.96 for fully adopter. The results of Tobit model indicated that factors influencing adoption and its intensity are; education, family size, land size, access to credit, membership to cooperative, access to training, access to demonstration, total livestock unit and distance to nearest market. Which are affected farmers adoption decision and intensity of adoption significantly in one or another way. Therefore, government and any development interventions should give emphasis to improvement of such institutional support system so as to achieve wider adoption, increased productivity and income to small scale.
Efficiency and Yield Gap Analysis in Potato Production: The Case of Potato Fa...Premier Publishers
The study examined efficiency, yield gap and level of responsiveness of output to the factors of production in potato production in central highlands of Ethiopia. The study used household level cross sectional data collected in 2015/16 from 196 sample farmers selected through multistage sampling technique. A stochastic frontier model was employed for the efficiency analysis. The scale coefficient for production function was calculated to be 1.1, indicating a 1% increase in all inputs proportionally increases total production by 1.1%. The mean technical efficiency and actual yield gap of sample households are 62.6% and 15.2 t/ha respectively. Eighty six percent of the yield variation in potato production is due to technical inefficiency and accounts for 13.07 t/ha yield gap. Therefore, efforts designed to improve efficiency would be more cost effective than introducing new technologies such as developing new varieties as a means of increasing potato production and productivity.
Intercropping of Maize(Zea mays L.) with Spear mint(Mentha spicata L.) as Sup...paperpublications3
Abstract: Field experiment was conducted in 2011 up to 2013 cropping season to investigate maize based farming system by inclusion of spearmint. The experiment was laid out in randomized complete block design with four replications.The result showed that sole planting of spearmint gave significantly higher essential oil yield, leaf fresh weight, above ground biomass than planting as intercropped with maize. However, intercropping didn’t show significant variation on plant height, shelling percentage and grain yield of the main crop. Land equivalent ratio (LER) indicated yield advantages for all intercrop combinations, especially at 42cm inter row spacing of spearmint intercropped with maize followed by 36cm inter row spacing of spearmint intercropped with maize. Similarly, Maize intercrop with spearmint at 42cm inter row spacing of spearmint gave higher monetary advantage index (41747) followed by 36cm inter row spacing of spearmint intercropped with maize (37496) than planted at sole. This indicate that intercropping maize at 42cm inter row spacing of spearmint followed by 36cm inter row spacing of spearmint is biologically efficient, economically feasible and more profitable than planting alone.
Keywords: Intercropping, Land Equivalent Ratio, Mentha spicata, Monetary Advantage, Supplementary, Zea mays
Australia's food system is highly dependent on foreign crop diversityColin Khoury
The food crops that are now produced or consumed in Australia were initially domesticated and evolved over time in specific geographic regions across the planet. Genetic diversity within these crops and their wild relatives is considered to be historically particularly rich within these regions. Loss of this genetic diversity in the past century has increased the importance of conservation in genebanks where these genetic resources can be made available for present and future crop improvement. Here we assess the degree to which the food supplies and agricultural production systems of Australia are comprised of crops from different regions of diversity worldwide. We determine the level of dependence of the country upon crops from regions of diversity other than its own (“foreign crops”). Australia’s food system is comprised of a broad range of crops originating in regions distributed around the world. The country is extremely dependent on foreign crops in its food supplies (93% as a mean across food supply variables) and in its national production systems (99.8%). Direct measures of genetic resources distributions from the Australian Grains Genebank and from internationally important genebanks to Australian recipients confirm the broad use of foreign genetic resources in research and breeding. These studies bolster evidence for the need for effective national and international policies to promote genetic resource conservation globally and facilitate exchange internationally.
Correlations and Path Analysis of Some Quantitative and Qualitative Character...ijtsrd
Durum wheat is the second most important triticum species next to bread wheat. Ethiopia is one of the centers of diversity for durum wheat. The present study was to determine the interrelationship and direct and indirect effects of yield component traits on grain yield of Ethiopian landraces durum wheat for further breeding activities of yield improvement. Out, 97 durum wheat accessions along with 3 improved varieties were evaluated in 10 x 10 simple lattice design during 2018 main cropping season at Mata Sub site of Haro Sabu Agricultural Research Center. Analysis of variance revealed highly significant differences among accessions for all traits. More than 36 of accessions were superior in mean grain yield than the standard checks. Grain yield exhibited positive and significant correlation both at genotypic and phenotypic level with most of the characters such as plant height rp = 0.22, rg = 0.25 , harvest index rp=0.79, rg = 0.78 , biological yield rp = 0.31, rg = 0.30 , number of kernels per spike rp = 0.17, rg = 0.21 , spike length, rp = 0.36, rg = 0.39 , and hectoliter weight kg hl 1 rp = 0.44, rg = 0.45 . The association between yield, and yield related characters through phenotypic genotypic path coefficients revealed that biological yield, spike length, harvest index and plant height exerted highest positive direct effect on grain yield. This suggests that simultaneous improvement in these characters might be possible Zewdu Tegenu | Dagnachew Lule | Gudeta Nepir "Correlations and Path Analysis of Some Quantitative and Qualitative Characters in Durum Wheat (Triticum Turgidum L.) Accessions in Western Oromia, Ethiopia" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28112.pdf Paper URL: https://www.ijtsrd.com/engineering/agricultural-engineering/28112/correlations-and-path-analysis-of-some-quantitative-and-qualitative-characters-in-durum-wheat-triticum-turgidum-l-accessions-in-western-oromia-ethiopia/zewdu-tegenu
Influence of cowpea and soybean intercropping pattern and time of planting on...Premier Publishers
The study was conducted to determine influence of cowpea and soybean intercropping pattern and time of planting on yield and Gross Monetary Value (GMV) of sorghum. The treatments were included two legume crops, two time of planting, three planting patterns of legumes and sole crops (sorghum, soybean and cowpea). The experiment was conducted in randomized complete block design with three replication. Sorghum/soybean cropping system reduced sorghum grain yield by 23.9% where as sorghum/cowpea reduced by grain yield by 40.3%. The highest LER (1.55) and the lowest LER (1.19) was recorded in sorghum/soybean and sorghum/cowpea intercropping system. Highest gross monetary benefit (20561 Ethiopian birr) accrued from planting two rows of cowpea with the first weeding of sorghum in between the two rows of sorghum. However, it was at par with simultaneous planting of cowpea in double alternate plants within sorghum plants along with two rows of cowpea in between sorghum rows and two rows of soybean planted in between two rows of sorghum with first weeding of sorghum. Legumes crop soybean and cowpea should involved in sorghum cropping either simultaneously planting or sowing at first weeding or hoeing of sorghum.
Incremental transformation: systems agronomy in dryland farming systemsGlobal Plant Council
"Enhancing Global Collaborations in Crop Science" GPC Symposium on 4th Nov. 2018 , CSSA/ASA Annual meeting In Baltimore USA.
John Kirkegaard CSIRO Agriculture and Food Australia. Incremental transformation: systems agronomy in dryland farming systems
AN OVERVIEW of the CHALLENGES of AGRICULTURAL RESEARCH in SUB-SAHARAN AFRICA:...Premier Publishers
This study, analyzes the challenges of national agricultural research institutions (NARIs) in Eritrea from organizational perspective. It examines the institutional and research capacities, and the human and financial capabilities of NARIs. The data for this study was taken from a study conducted in June 2017 in the Ministry of Agriculture. The study used both survey and case study methodologies. The study seeks to answer the following two research questions: what are the challenges of NARIs in Eritrea? What can be learned from the experience of SSA countries NARIs? In this study, it is found that NARI has inadequate human, material and financial resources and limited research agenda. NARI has shortage of operational funding and trained personnel in specialized areas, which require higher education level. The current agricultural research system under NARI is less responsive to the various challenges and constraints of agricultural production and development in Eritrea. NARI should focus on participatory demand driven research methodology and integrate the needs of small-scale and commercial farmers, and improve its management, planning, monitoring and evaluation systems, including physical and human capital, and its research agenda. There is a need for the development of strategy that integrates elements that reinforce and build the present capacity of the agricultural research system.
The long run impact of climate change on the productivity of major crops in the districts of Punjab is analyzed for the time period of 1970 to 2010. This study used deviations from average maximum annual temperature and deviations from average rainfall are used as indicators for climate change. While other variables include sale price, fertilizer use and number of tube wells. In order to incorporate long timer periods, this study used Panel ARDL model. The results show that cotton productivity is more positively sensitive to price changes; an increase in temperature, tube wells and fertilizers while wheat productivity is more positively sensitive to the rainfall in the long run. Consequently, in the short run, wheat productivity equilibrium is faster converging. Hence deviations from average rainfall are harmful to cotton crop in the long run and cotton & wheat in the short run, while deviations in maximum temperature is only harmful for cotton crop in the short run.
Intercropping of Haricot Bean (Phaseolus vulgaris L.) with stevia (Stevia reb...paperpublications3
Abstract: Field experiment was conducted in the consecutive two cropping seasons (2011-2012 and 2012-2013) to investigate Haricot Bean based farming system by inclusion of Stevia. The experiment was laid out in randomized complete block design with five replications. The results showed that the yields of haricot bean were not significantly decreased with the increase of stevia population. Sole planting of stevia was superior to other intercropped treatments and produced 20035.3 kgha-1, 41859 kgha-1 and 30947 kgha-1 above ground biomass yield (total of three harvesting cycle), 12439.47 kgha-1, 26296.2kgha-1 and 19367.8 kgha-1 leaf fresh weight (total of the three harvesting cycle) and 3450.71kgha-1, 7570.3kgha-1 and 5510.5kgha-1 leaf dry weight (total of the three harvesting cycle) in the consecutive two cropping season and the pooled mean respectively. The LER and MAI indicating the practice of intercropping of haricot bean with stevia was more advantageous than the conventional monoculture crop. Even if significant yield difference was not observed for haricot bean among the treatment, haricot bean intercrop with 80% stevia mix proportion with LER of 1.43 and MAI of 88278 followed by 60% stevia mix proportion with LER of 1.34 and MAI of 62027 proved to be best than planted at sole indicating the practice of haricot bean–stevia intercropping was more advantageous and profitable than the conventional monoculture crop.
Keywords: Haricot Bean, Intercropping, Land Equivalent Ratio, Monetary Advantage, Stevia rebaudiana, Supplementary.
Improving Grain Yield in Rice (Oryza Sativa L.) by Estimation of Heterosis, G...Galal Anis, PhD
The recent approach for rice production includes the improvement of yield is necessary to cater for consumer demand. Therefore, a field experiment (diallel analysis) was conducted and Training Center, Egypt during 2014 and 2015growing season to estimate combining ability, heterosis and genetic parameters in ricefor improving the yield. Th and Sakha105 were recorded highest mean values for most traits. The crosses (Giza177 × Sakha106, Sakha101 × Sakha104 and Sakha101 × Gz7576-10-3-2-1) were recorded highest mean values for grain yield plant-1.Sakha106 and Sakha104 recorded the highest mean values for flag leaf area. evident from the result, a positive correlation was observed between flag leaf area and grain yield as well as, the results were recorded positively correlation coefficient between n to heading, number of filled grains panicle-1 and 1000-grain weight. cross Sakha 101/Sakha 104, Sakha 104/Sakha 106, Sakha 105/BL1 and Sakha 106/BL1 were identified as themost promising cross for developing high yielding rice varieties and could be further benefits to isolate superior transgressive segregants for breeding programs
Factors Affecting Adoption and its Intensity of Malt Barley Technology Packag...Premier Publishers
Enhancing the probability of adoption and its intensity is not an easy task because there are numerous factors that affect producers’ adoption decision. Hence, the study was aimed to investigate the factors that affect adoption and intensity of adoption among malt barley producers in southern Ethiopia. Using random sampling technique, 251 smallholder malt barley producers were selected to collect primary data through semi-structured questionnaires. Descriptive statistics and econometrics model (Tobit model) methods were used for data analysis. The study identified five major malt barley technology packages in the study area. Such practices are; improved seed, seeding rate, fertilizer rate, plowing frequency and row planting. Thus, non-adopter accounted for 7.5% of total sample, partial adopter (50.2%), fully adopter (42.3%) and intensity ranges from 0.12-0.84 for partially adopter and 0.85-0.96 for fully adopter. The results of Tobit model indicated that factors influencing adoption and its intensity are; education, family size, land size, access to credit, membership to cooperative, access to training, access to demonstration, total livestock unit and distance to nearest market. Which are affected farmers adoption decision and intensity of adoption significantly in one or another way. Therefore, government and any development interventions should give emphasis to improvement of such institutional support system so as to achieve wider adoption, increased productivity and income to small scale.
Efficiency and Yield Gap Analysis in Potato Production: The Case of Potato Fa...Premier Publishers
The study examined efficiency, yield gap and level of responsiveness of output to the factors of production in potato production in central highlands of Ethiopia. The study used household level cross sectional data collected in 2015/16 from 196 sample farmers selected through multistage sampling technique. A stochastic frontier model was employed for the efficiency analysis. The scale coefficient for production function was calculated to be 1.1, indicating a 1% increase in all inputs proportionally increases total production by 1.1%. The mean technical efficiency and actual yield gap of sample households are 62.6% and 15.2 t/ha respectively. Eighty six percent of the yield variation in potato production is due to technical inefficiency and accounts for 13.07 t/ha yield gap. Therefore, efforts designed to improve efficiency would be more cost effective than introducing new technologies such as developing new varieties as a means of increasing potato production and productivity.
Intercropping of Maize(Zea mays L.) with Spear mint(Mentha spicata L.) as Sup...paperpublications3
Abstract: Field experiment was conducted in 2011 up to 2013 cropping season to investigate maize based farming system by inclusion of spearmint. The experiment was laid out in randomized complete block design with four replications.The result showed that sole planting of spearmint gave significantly higher essential oil yield, leaf fresh weight, above ground biomass than planting as intercropped with maize. However, intercropping didn’t show significant variation on plant height, shelling percentage and grain yield of the main crop. Land equivalent ratio (LER) indicated yield advantages for all intercrop combinations, especially at 42cm inter row spacing of spearmint intercropped with maize followed by 36cm inter row spacing of spearmint intercropped with maize. Similarly, Maize intercrop with spearmint at 42cm inter row spacing of spearmint gave higher monetary advantage index (41747) followed by 36cm inter row spacing of spearmint intercropped with maize (37496) than planted at sole. This indicate that intercropping maize at 42cm inter row spacing of spearmint followed by 36cm inter row spacing of spearmint is biologically efficient, economically feasible and more profitable than planting alone.
Keywords: Intercropping, Land Equivalent Ratio, Mentha spicata, Monetary Advantage, Supplementary, Zea mays
Luis gabilondo gobierno de navarra-Jornada Biomed XXICein
NUEVOS MARCOS DE COLABORACIÓN CIENCIA/EMPRESA/ADMINISTRACIÓN. Necesidades en la práctica clínica. Luis Gabilondo. Director general de Salud del Gobierno de Navarra.
Jornada “Energy Trends” (CEIN, 25 de noviembre de 2015). SHOWROOM. Presentaciones sobre el ecosistema emprendedor innovador de Navarra con impacto en el campo de las renovables a cargo de startups, grupos de investigación, universidad y centros tecnológicos.
Jornada “Energy Trends” (CEIN, 25 de noviembre de 2015). NUEVAS INICIATIVAS EN RENOVABLES. Retos Tecnológicos en los siguientes cinco años. Eduardo Aznar. Director de Desarrollo de Negocio. CENER (Centro Nacional de Energías Renovables)
Climate change and its impact on human-environment are immeasurable because of its multidimensional effects. But the effect is not same for all countries, it depends on the countries geographical settings. Alongside location, education of the people, environmental awareness, somewhat might minimize the probability of loss in response to any kinds of disasters. Undertaken study was conducted based on an extensive published literatures (197—between 1995 and 2018) review with a view to consolidating the possible impacts of climate change on crop production in Bangladesh. It has found that already the impact has begun badly in Bangladesh. Temperature is gradually rising, frequency of floods, river bank erosion, storm surge, magnitude of cyclone, salinity intrusion, and the volatility of rainfall has increased comparing to past. All these led to the probability of decreasing the crop production. As climate change has become a great concern for countries food security, it is now the appropriate time to take and install proper rules and regulations through inflexible attitude. With the help of various international and national organizations government of Bangladesh inordinately trying to reduce the consequences of climate change. A comprehensive measurement must make sure to enhance the capability of encountering climate change, otherwise it will cost of enormous loss, especially on agriculture in Bangladesh.
at the 3rd Global Science Conference on Climate-Smart Agriculture in Montpellier.
Read more: http://ccafs.cgiar.org/3rd-global-science-conference-%E2%80%9Cclimate-smart-agriculture-2015%E2%80%9D#.VRurLUesXX4
The Global Yield Gap Atlas for targeting sustainable intensification options for smallholders in Sub-Saharan Africa
Poster presented at the 3rd Global Science Conference on Climate-Smart Agriculture in Montpellier.
Read more: http://ccafs.cgiar.org/3rd-global-science-conference-%E2%80%9Cclimate-smart-agriculture-2015%E2%80%9D#.VRurLUesXX4
Running head FOOD SECURITY AND CLIMATE CHANGE 1 FOOD SECUR.docxjeanettehully
Running head: FOOD SECURITY AND CLIMATE CHANGE 1
FOOD SECURITY AND CLIMATE CHANGE 6
How To Achieve Food Security In The Face Of Climate Change
The state of food security in the world right now is wanting, and the rate at which the globe is experiencing climate change is inexplicable. According to a research carried out by the World Food Program and the World Health Organization, the number of chronically malnourished people in the world is estimated to have increased drastically in the year 2016 to 815 million from 777 million in 2015. However, over the last few years, progress has been made; the number of malnourished people in the year 2000 was approximately 900 million. Nevertheless, ensuring food security has become an issue in our communities due to the many changes experienced daily. Subsistence farmers, in particular, are experiencing a lot of constraints, such as unfavorable bio-physical conditions and limited arable land (Rasul et al., 2014). Furthermore, the consequent reduced agricultural production has affected food security and changed the overall vulnerability of many people around the world (Hussain et al., 2016). They have become more dependent on genetically modified foods which can be bad for their health at times. Now, there exist ways in which people can achieve food security in the face of climate change. According to a commission of agriculture formed in the year 2000 to investigate the issue of food security and climate change, several strategies and approaches can be put in place to improve on the food situation across the world. I believe these methods would best help achieve food security in the face of climate change.
The Commission suggested that world leaders should integrate sustainable agriculture and food security into national and global policies (Beddington et al., 2012). One way in which this can be done is for governments to make sustainable climate-friendly agriculture central to green growth. According to research, governments should support financial commitments for regional programs to improve food systems and agriculture. This strategy should include specific research on alternative agricultural practices and an enhanced capacity to speed up transitions between establishment phases and the study.
Similarly, governments should find a way to finance strategies that support viable agricultural production systems that are not prone to damage during weather changes. In other words, they can develop mitigation and adaptation strategies and implement agrarian programs. Also, governments can include researchers who can come up with ways in which agricultural sectors can benefit from sustainable farming practices. Global donors can also play a key role. They can identify finance mechanisms that can be used to sustain various systems and interventions that build on the enormous potential synergies between climate change and agriculture. In simple terms, when world leaders prioritize food security as a re ...
Climate Smart Agriculture : Food Security of Future to the Climate ChangeIARI, NEW DELHI
Adverse climatic variabilities draw attention of people towards a sustainable approach
to mitigate against climate change to fulfil the increasing demand of this exploding
population. But due to increasing population, food security requires a sustainable
strategy and to combat these effects of climate, climate-smart agriculture (CSA) came
into existence in present climatic scenario for sustainable food security and enhances
food security and development. CSA is an integrative and interacting approach to
address these interlinked challenges of food security and climate change, i.e.,
sustainably increasing agricultural productivity, adapting and building agricultural
resilience and reducing emissions of greenhouse gas (GHGs) from agriculture activities
(including crops, livestock and fisheries). CSA combines to the actions both on-farm
and off-farm, and incorporates technologies, policies, organizations, institutions and
investment on an equal platform.
Agriculture in developing countries must undergo a significant transformation in order to meet the related challenges of achieving food security and responding to climate change. Projections based on population growth and food consumption patterns indicate that agricultural production will need to increase by at least 70 percent to meet demands by 2050. Most estimates also indicate that climate change is likely to reduce agricultural productivity, production stability and incomes in some areas that already have high levels of food insecurity. Developing climate-smart agriculture is thus crucial to achieving future food security and climate change goals. This seminar describe an approach to deal with the above issue viz. Climate Smart Agriculture (CSA) and also examines some of the key technical, institutional, policy and financial responses required to achieve this transformation. Building on cases from the field, the seminar try to outlines a range of practices, approaches and tools aimed at increase the resilience and productivity of agricultural product systems, while also reducing and removing emissions. A part of the seminar elaborates institutional and policy options available to promote the transition to climate-smart agriculture at the smallholder level. Finally, the paper considers current gaps and makes innovative suggestion regarding the combined use of different sources, financing mechanism and delivery systems.
GENOMIC AND TRANSCRIPTOMIC APPROACHES TOWARDS THE GENETIC IMPROVEMENT OF AN U...Faraz Khan
With the world population estimated to be nine billion by 2050, the need to exploit plant genetic diversity in order to increase and diversify global food supply, and minimise the over-reliance for food on a few staple crops is of the utmost importance. Bambara groundnut (Vigna subterranea (L) Verdc.), is underutilised legume indigenous to Africa, rich in carbohydrates, with reasonable amounts of protein. It is known to be drought tolerant, able to
grow on marginal lands where other major crops cannot with minimal rainfall (<700 mm) and chemical inputs. Crop improvement for abiotic stress tolerance and increasing/stabilising yield have been difficult to achieve due to the complex nature of these stresses, and the genotype x environment interaction (GxE). This review paper highlights how a number of recent technologies and approaches used for major crop research, can be translated
into use in research of minor crops, using bambara groundnut as an exemplar species. Using drought tolerance as a trait of interest in this crop, we will demonstrate how limitations can affect genomic approaches for understanding traits in bambara groundnut, and, how genomic and transcriptomic methodologies developed for major crops can be applied to underutilised crops for better understanding of the genetics governing important agronomic traits. Furthermore, such approaches will allow for cross species comparison between major and minor crops, exemplified by bambara groundnut leading to improved research in such crops. This will lead to a better understanding of the
role of stress-responsive genes and drought adaptation in this underutilised legume.
DuPont Advisory Committee on Agricultural Innovation and Productivity published The Role of Technology in Agriculture in 2013. The report focuses on meeting global food demand through science-based innovation that reaches farmers around the world.
Hotel management involves overseeing all aspects of a hotel's operations to ensure smooth functioning and exceptional guest experiences. This multifaceted role includes tasks such as managing staff, handling reservations, maintaining facilities, overseeing finances, and implementing marketing strategies to attract guests. Effective hotel management requires strong leadership, communication, organizational, and problem-solving skills to navigate the complexities of the hospitality industry and ensure guest satisfaction while maximizing profitability.
Food Processing and Preservation Presentation.pptxdengejnr13
The presentation covers key areas on food processing and preservation highlighting the traditional methods and the current, modern methods applicable worldwide for both small and large scale.
Vietnam Mushroom Market Growth, Demand and Challenges of the Key Industry Pla...IMARC Group
The Vietnam mushroom market size is projected to exhibit a growth rate (CAGR) of 6.52% during 2024-2032.
More Info:- https://www.imarcgroup.com/vietnam-mushroom-market
2. In irrigated cropping systems, yield potential (Yp) is defined as
the yield of an adapted crop cultivar when grown without water
and nutrient limitations and kept free of biotic stresses (Evans,
1993). In rainfed systems, water-limited yield potential (Yw) is de-
termined by the soil water availability as governed by the water sup-
ply amount and distribution and soil and terrain properties, and no
nutrient limitation and free of biotic stresses (van Ittersum et al.,
2013). Yield gap (Yg) is defined as the difference between Yp (irri-
gated systems) or Yw (rainfed systems) and actual farm yield (Ya)
(van Ittersum and Rabbinge, 1997; van Ittersum et al., 2013). Al-
though cereal yields in Bangladesh have increased substantially
over time, previous studies have documented large Yg in farmers'
fields (Hasan and Islam, 2010; Kashem et al., 2012; Khan et al.,
2013; Mondal, 2011; Schulthess et al., 2012; Timsina et al., 2010),
though these studies were limited to a few locations and did not
look at the potential extra grain production in Bangladesh due to
Yg closure.
Current production-consumption ratio, hereafter called self-suf-
ficiency ratio (SSR) is 1.09, 0.21, 0.67 for rice, wheat and maize, re-
spectively (FAOSTAT, 2015), indicating that Bangladesh is self-
sufficient in rice, but not in wheat and maize, and consequently high-
ly dependent on trade. Given limited room for cropland expansion,
there are basically two options to meet future increase in grain de-
mand without increasing reliance on food imports: (i) increasing ce-
real yields per ha by closing the existing Yg between potential and
actual yield, and (ii) increasing cropping intensity (number of
crops planted in the same piece of land during a 12-month period).
However, since average cropping intensity in Bangladesh is already
high (at least two crops per year); it can be hypothesized that future
SSRs will depend on the degree of Yg closure on existing land area
(Ahmed et al., 2013; BBS, 2013). Approaching 80–85% of Yp or Yw,
which are considered to be attainable farm yields under good farm
management (Cassman et al., 2003, van Wart et al., 2013), could be
an important strategy towards meeting the future food consumption
needs of Bangladesh.
Several studies on food security have been conducted for Bangladesh
(e.g., Amarasinghe et al., 2014; Ganesh-Kumar et al., 2012; Mainuddin
and Kirby, 2015). All these studies, however, considered only one or
two crops (typically rice and/or wheat) for a limited number of loca-
tions. Likewise, they did not account for potential changes in land use
due to urbanization, climate change or other factors. Perhaps more im-
portant, these previous estimates of Yg are biased because Yp or Yw
were calculated from highest-yielding treatments in research farms
(Ali et al., 2008; Hasan and Islam, 2010; Kashem et al., 2012; Khan et
al., 2013; Mondal, 2011). Well-validated crop simulation models,
coupled with local weather, soil, and management data can provide
more robust estimates of average Yp, Yw, and Yg because these models
can account for major environment x management x genotype interac-
tions (van Ittersum et al., 2013; Grassini et al., 2015). With the proper
spatial framework, estimates of Yp, Yw, and Yg can be upscaled to larger
spatial domains (van Wart et al., 2013, van Bussel et al., 2015) and serve
as foundation for assessing food security scenarios (e.g., van Oort et al.,
2015).
Performing a solid food security analysis for Bangladesh is impor-
tant due to its high population, limited room for cropland expansion,
and vulnerability to climate change. Results of this analysis can be
used by policymakers to prioritize further research and/or to focus
on regions with high potential production. The methodology applied
in this study will also be relevant for other regions of the world
where population is high, cropland area expansion is not possible,
and climate change impact is predicted to be substantial. The objec-
tive of this paper is to assess the degree to which Bangladesh can be
self-sufficient for maize, rice and wheat by years 2030 and 2050 for
different levels of Yg closure, accounting for changes in cropland
area, irrigation development, and changes in the relative share of
cropland area among the different crop species.
2. Materials and methods
2.1. Cropping system features
Cropping systems in Bangladesh are very complex, highly intensive
and diverse, and are continuously evolving and changing (Timsina and
Connor, 2001). There are three main cropping seasons: (i) aman or
kharif or monsoon (also called kharif-2) from June/July to September/
October, (ii) rabi or winter from October/November to February/
March, and (iii) spring or pre-kharif or pre-monsoon (also called
kharif-1) from March/April to June/July (Fig. 1). In kharif-2, rice (called
transplanted aman or T. aman) is the predominantly grown crop (N90%
of area), mostly under rainfed conditions. During the dry rabi season a
wide range of crops, including rice (called boro), wheat, maize, pulses
(chickpea, lentil and field peas), potatoes and oilseeds (e.g., mustard)
are grown. In kharif-1, short-duration cultivars of maize, pulses
(mungbean, cowpea) and rice (called aus) are grown. Boro and rabi
(winter) maize are either fully or partially irrigated, while aman and
aus rice and kharif-1 (spring) maize are predominantly rainfed, with
some crops applied with partial irrigation. Wheat is also predominantly
grown with full irrigation (~80%), with remaining 20% under either par-
tial irrigation or strictly rainfed. Thus, rice-rice (R-R), rice-wheat (R-W),
and rice-maize (R-M) are the dominant systems, which often include an
additional crop such as aus rice or maize in kharif-1 mostly grown under
partial irrigation or rainfed conditions. While R-R is the common rota-
tion in tropical and sub-tropical areas with warm climate in Bangladesh
and entire South Asia, R-W and R-M rotations are practiced in the sub-
tropical areas with mild winters (Timsina and Connor, 2001; Timsina et
al., 2010, 2011).
2.2. Calculation of yield potential and yield gaps
Average Ya of rice, maize and wheat for 2010 in Bangladesh were
calculated based on Ya data reported over the 2008–2012 time period
(BBS, 2013). Yp (for all irrigated crops) and Yw (for rained rice) were
simulated using ORYZA (v3) for rice (Bouman et al., 2001), Hybrid-
Maize for maize (Yang et al., 2004), and WOFOST for wheat (Wolf et
al., 2011). These models were calibrated and validated for Bangladesh
based on primary and secondary data for crop phenology, and soil and
yield data recorded from well-managed experiments conducted in
major agriculture districts (Comilla, Dinajpur, Gazipur, Rajshahi,
Rangpur) during 2010 to 2014 (Hossain and Silva, 2013; Islam, 2016).
Yw was not simulated for wheat and maize in this study because
b20% of the total area cultivated with these two crops is rainfed. Instead,
we estimated Yw of maize and wheat based on existing field and model-
ling data from literature (Ali et al., 2008; Carberry et al., 2011; Timsina
and Humphreys, 2006).
After compilation of all the data, we followed the protocols of the
Global Yield Gap Atlas (GYGA) project for estimating the Yg of all
crops (www.yieldgap.org, Grassini et al., 2015; van Bussel et al., 2015).
Briefly, a number of locations were selected for each crop-water regime
combination based on their relative share of the cultivated area for each
crop. Selected locations were representative of N80% of the area culti-
vated with rice, wheat, and maize in Bangladesh. Yp and Yw were esti-
mated by using long-term measured weather data and dominant soil
types and management practices (planting date, variety maturity,
plant density). Measured daily weather data (daily maximum and min-
imum temperature, rainfall and solar radiation) for 1990 to 2010 were
retrieved from the Bangladesh Bureau of Meteorology (BBM, 2015). De-
tailed management and soil data for each selected location were provid-
ed by local agronomists and official statistics. Yg was calculated by
subtracting Ya from Yp or Yw. Yp, Ya and Yg were upscaled to country
level following a bottom-up approach based on crop area distribution
and a climate zone scheme (Van Wart et al., 2013; van Bussel et al.,
2015).
2 J. Timsina et al. / Agricultural Systems xxx (2016) xxx–xxx
Please cite this article as: Timsina, J., et al., Can Bangladesh produce enough cereals to meet future demand?, Agricultural Systems (2016), http://
dx.doi.org/10.1016/j.agsy.2016.11.003
3. 2.3. Cereal supply and demand calculations
Domestic supply of each of the three cereals for the base year 2010
was calculated as mean farmers' yield times the harvested area per
crop for 2010 (Fig. 2; Table 1) based on data reported by Bangladesh Bu-
reau of Statistics - BBS (BBS, 2013) and FAO (FAOSTAT, 2015). Total
maize consumption for Bangladesh in 2010, as estimated by the IMPACT
model (Robinson et al., 2015), was very low in comparison to FAO food
balance data, and predicted to increase little towards 2050. Since IM-
PACT maize consumption was estimated based on data collected prior
to 2000 (Islam, 2003), it is likely that these estimates have not
accounted for the rapid development of the poultry and fish production
in Bangladesh during the last decade, resulting in increased demand for
maize (Miah et al., 2013). Hence, we decided not to use the IMPACT data
for maize but to use the FAO food balance. There was good agreement
between IMPACT and FAO food balance data on rice and wheat con-
sumption. Current total cereal demand (expressed in kg milled rice)
was calculated by multiplying the 2010 UN population data (UN,
2015) with total demand per capita per cereal (inclusive that for animal
and fish feeds) in 2010 (Table 2), derived from the FAO food balance for
maize (FAOSTAT, 2015) and from IMPACT for wheat and rice (Robinson
et al., 2015). To convert maize and wheat to milled rice equivalents, we
used the ratios between the caloric contents of maize and wheat versus
that of rice, i.e., 3600 kcal kg−1
milled rice grains, 2730 kcal kg−1
wheat
grain and 3180 kcal kg−1
maize grain (FAOSTAT, 2015). Finally, SSR was
calculated by dividing the current cereal production by the current cere-
al food and feed demand, assuming a waste of 15% based on the FAO
food balance (FAOSTAT, 2015).
We chose years 2030 and 2050 for future self-sufficiency assess-
ments because government policy makers need quantitative informa-
tion to develop strategies to meet future food requirements for both
Fig. 2. Arable (physical) cropping areas (×103
ha) in Bangladesh for 2010 and for six
cropland change scenarios in 2030 and in 2050.
Fig. 1. Major cropping systems in Bangladesh.
3J. Timsina et al. / Agricultural Systems xxx (2016) xxx–xxx
Please cite this article as: Timsina, J., et al., Can Bangladesh produce enough cereals to meet future demand?, Agricultural Systems (2016), http://
dx.doi.org/10.1016/j.agsy.2016.11.003
4. the mid- and long-term. Grain production for each of the three cereals
and the total aggregated production (in kg milled rice equivalent) was
calculated for 2030 and 2050 by multiplying the future land area for
each crop by their estimated yield (Fig. 2). Total annual demand per
capita in years 2030 and 2050 for rice and wheat were derived from
the IMPACT model while for maize were derived from the FAO food bal-
ance, and total grain demands for those years were projected using the
future population sizes based on UN population prospects (Table 1).
SSRs were calculated for each scenario as the ratio between predicted
production and demand, separately for each crop, and also based on
the sum of the three crops (‘all-grains’ in milled rice equivalents). In
view of the continued increase in population and change in diet, SSRs
in 2030 and 2050 were examined for the following two scenarios:
• Change in population size relative to 2010 by using low, medium, and
high variant UN population projections.
• Decrease in rice demand and increase in maize demand in 2030 and
2050 relative to the demands in 2010. We assume a decrease in rice
consumption by 10% in 2030 and by 20% in 2050 relative to the cur-
rent rice consumption per capita (i.e. 170.5 kg milled rice person−1-
yr−1
) and replacement of these decreases in intake by an increase in
maize consumption by similar caloric amounts. In an extra variant
these decreases in rice consumption were also replaced by a doubled
caloric intake in the form of additional maize consumption in both
2030 and 2050 to account for increased demand for feed for livestock
and fish.
2.4. Scenarios of yield and land use in year 2030 and 2050
We assessed six scenarios, which are described below (Table 2):
• Scenario A (general decrease in arable land): In this scenario, arable
land areas for all crops in Bangladesh will decrease by 10% in 2030
and by 20% in 2050 relative to that of the base year 2010. These rela-
tive changes are based on the actual arable land area decreases be-
tween 2002 and 2012 to account for increases in residential
housings, industries, roads, and aquaculture (Hasan et al., 2013).
• Scenario B (declining groundwater tables in the north): Harvested
boro rice areas in 2011–2012 in the northern districts (Dinajpur,
Rangpur, Bogra, Pabna, Rajshahi regions) were about 1.61 M ha
(BBS, 2013) and are assumed to decrease by 10% in 2030 and by 20%
in 2050 due to declining groundwater tables. Half of these ‘decreased’
areas are replaced by rabi maize and wheat (i.e., by 2.5% and 5.0% area
increase for each crop in 2030 and 2050, respectively). We assume
that the other 5% area in 2030 and 10% in 2050 are used for other
crops (e.g. legumes, oilseeds, potatoes, etc.) and aquaculture. Our esti-
mates are based on Dey et al. (2013), Mbugua and Snijders (2012) and
Qureshi et al. (2015), who all reported a future reduction in boro rice
areas as a result of declining groundwater tables in the northern dis-
tricts.
• Scenario C (cropping of fallow areas in winter in the south): At pres-
ent, approximately 0.25 M ha land in southern Bangladesh (Barisal,
Chittagong, Khulna, Noakhali, Patuakhali regions) remain fallow dur-
ing winter, which is about 15% of cultivable land in the south (MoA-
FAO, 2012). In this scenario we assumed that of this fallow land
0.10 M ha (40%) can potentially be brought under surface irrigation
in a short time-frame (MoA-FAO, 2012; Santos Valle et al., 2014)
and be used for boro rice during the winter in future. In fact, the gov-
ernment has already planned investment and started implementing
infrastructure projects for the coastal region to increase dry season
cropping intensity to increase food security (Government of
Bangladesh, 2010; MoA-FAO, 2012). Of the remaining 0.15 M ha
(60%), 0.075 M ha (30%) can be used for both wheat and rabi maize
and can be cultivated under rainfed conditions in future. This scenario
is based on a detailed study in southern Bangladesh which concluded
that most fallow lands in the south can be used for wheat cultivation
by utilizing shallow ground water or irrigation water from ponds dur-
ing the rabi season (Rawson, 2011). In addition, GoB has identified
maize as a high priority crop and aquaculture consuming maize as a
potential source of nutrition and income in this region (MoA-FAO,
2012).
Table 1
Current and future population (medium variant)a
, current and future maize, rice, wheat and all-grains demands per capita (in kg air dry grains)b
, and total current and future demandsc
,
and the relative future changes in annual total grain demand in 2030 and 2050 versus that in 2010 in Bangladesh.
Projections Population
(106
)a
Annual demand per capita (kg
grain air dry)b
Change in future annual demand
per capita (%)
Annual national demand (M ton
grain air dry)c
Change in future annual total
national all-grains demand (%)
Maize Wheat Riced
All-grainse
Maize Wheat Riced
All-grainse
2010 151 9.9 25.9 170.5 198.9 – 1.50 3.91 25.76 30.05 –
2030 185 12.5 29.6 162.7 196.2 −1.36 2.31 5.47 30.11 36.30 +20.8
2050 202 14.0 34.7 145.8 184.5 −7.24 2.83 7.01 29.45 37.26 +24.0
a
Based on medium fertility population prospect in 2030 and 2050 (UN, 2015).
b
Demand per capita in 2010, 2030 and 2050 is based on the current and future demands for wheat and rice as projected by IMPACT and for maize by FAO food balance, and on a
combination of current (2010) consumption as estimated by FAO and demand increase in 2030 and 2050 relative to 2010 as estimated by IMPACT for wheat and rice and by FAO for maize
(see Section 2.3 for details).
c
For the calculation of the total food demand, a loss fraction in food production of 15% on average (source: http://faostat3.fao.org/download/FB/ was assumed.
d
Milled rice.
e
Milled rice equivalent.
Table 2
Scenarios used for land use changes in 2030 and 2050 in Bangladesh.
Scenario 2030 2050
A
(general
decrease in
arable land)
10% decrease in arable area
(across the country)
20% decrease in arable area
(across the country)
B
(declining
groundwater
tables in north)
Scenario A + 10% decrease in
boro rice and 5% increase in
rabi maize & wheat areas (in
north)
Scenario A + 20% decrease in
boro rice and 10% increase in
rabi maize & wheat areas (in
north)
C
(cropping of
fallow areas in
winter in
south)
Scenario B + 40% of fallow
areas cropped with boro rice
and 30% with maize & wheat
(in south)
Scenario B + 40% of fallow
areas cropped with boro rice
and 30% with maize & wheat
(in south)
D
(effect of sea
level rise)
Scenario C + 5% decrease in
aman rice areas due to sea
level rise (in south)
Scenario C + 10% decrease in
aman rice areas due to sea
level rise (in south)
E
(increased
cropping
intensity)
Scenario D + 5% increase in
aus rice areas (in south) and
10% increase in kharif-1 maize
areas (in north)
Scenario D + 10% increase in
aus rice areas (in south) and
20% increase in kharif-1 maize
areas (in north)
F
(larger share of
cash crops)
Scenario E + 50% decrease in
boro rice areas ≥ high value
crops (across the country)
Scenario E + 50% decrease in
boro rice areas ≥ high value
crops (across the country)
4 J. Timsina et al. / Agricultural Systems xxx (2016) xxx–xxx
Please cite this article as: Timsina, J., et al., Can Bangladesh produce enough cereals to meet future demand?, Agricultural Systems (2016), http://
dx.doi.org/10.1016/j.agsy.2016.11.003
5. • Scenario D (effect of sea level rise): In 2012, there was approximately
1.51 M ha of land under aman rice in the southern coastal districts
(BBS, 2013). We assume a decrease in aman rice area by 5% in 2030
and by 10% in 2050 due to sea level rise. No effect is assumed on win-
ter crop areas, as sea water will enter the inland areas only in the mon-
soon season and farmers will strive to grow rabi crops by utilizing
shallow groundwater for irrigation, resulting from inundation in mon-
soon. This scenario was chosen because climate change studies have
forecasted significant sea level rise in southern Bangladesh (IPCC,
2014; WARPO, 2006), possibly resulting in inundation and loss of
land areas (Clark et al., 2015; MoA-FAO, 2012; WARPO, 2006) and
loss of crop production (Clark et al., 2015; Thomas et al., 2012) in fu-
ture.
• Scenario E (increased cropping intensity): In 2012, there was about
0.42 M ha of land with aus rice in the southern districts and
30,000 ha with kharif-1 maize in the northern districts (BBS, 2013).
It is assumed there will be an increase in aus rice areas by 5% in
2030 and by 10% in 2050 in the southern districts, which means that
cropping intensity will increase from single/double to double/triple
to triple/quadruple cropping (Ahmed et al., 2013; BBS, 2013). Like-
wise, it is assumed there will be an increase in kharif-1 maize areas
by 10% in 2030 and by 20% in 2050 in the northern districts, which
also results in an increase in cropping intensity. This scenario was cho-
sen to resemble GoB's current priority to increase aus rice production
in southern Bangladesh and maize production all over Bangladesh
(Government of Bangladesh, 2010; MoA-FAO, 2012). This scenario is
the result of combination of all changes that may occur in future.
• Scenario F (larger share of cash crops): In this scenario, we assume
that 50% of the boro rice areas in Bangladesh will be used for growing
high value crops such as vegetables, spices, pulses and oilseeds, and
aquaculture due to shifts in consumption patterns from rice to other
crops, vegetables, and meat and fish, and also to meet the demands
for export (Alkanda, 2010; Amarasinghe et al., 2014; Mukherjee et
al., 2011). This scenario, although hypothetical, was chosen because
farmers need to increase their income substantially, for example by
cultivating high value crops. Besides, they may have to shift from
high water requiring boro rice to less water demanding alternative
crops to reduce total water demand, which has also been
government's priority (Government of Bangladesh, 2010; MoA-FAO,
2012).
For each of the abovementioned scenarios, we analyzed the conse-
quences of three increasing degrees of Yg closure by year 2030 and
2050:
• No Yg closure: Ya of rice, wheat and maize in 2030 and 2050 were as-
sumed to be identical as in 2010.
• 50% closure of the gap between Ya and 80% of Yw or 85% of Yp, i.e. 50%
closure of the so-called exploitable yield gap (see Van Ittersum et al.,
2013). In the remainder of this paper we label this ‘50% yield gap clo-
sure’.
• Yield gap closure to 85% of Yp (irrigated crops) and 80% of Yw (rainfed
crops), labelled ‘full yield gap closure’. These levels represent
attainable yields in well-managed farmers' fields (Cassman et al.,
2003; Van Ittersum et al., 2013).
3. Results
3.1. Yield potential and yield gaps
Yield potential of irrigated (boro) rice in Bangladesh was 11.7 t ha−1
while Yw of rainfed aman and aus rice were respectively 6.5 and
7.8 t ha−1
(Table 3). Yp of irrigated maize and wheat were, respectively,
11.4 and 5.5 t ha−1
, while Yw of rainfed maize and wheat were respec-
tively 8.0 and 3.0 t ha−1
. Yield gaps of rainfed rice, irrigated rice, irrigat-
ed maize and irrigated wheat ranged across the country from 44 to 54%,
45–61%, 30–65%, and 47–65% of Yp, respectively (Table 3; Figure SI1).
Yield gaps of both rainfed and irrigated rice were higher in northern dis-
tricts compared to southern districts while those of maize and wheat
were higher in southern districts compared to northern districts
(Table 3; Figure SI1). Large variations in Yg across the climatic zones in-
dicate large variations in Yp as well as in Ya across those zones (Figure
SI2 and Figure SI3), suggesting that there are plenty of opportunities
to close the yield gaps of these cereals under both irrigated and rainfed
conditions.
3.2. Changes in food demand towards 2030 and 2050
With the medium variant of population increase, the combined total
demand for wheat, maize and rice (all-grains demand in milled rice
equivalent) in 2030 and 2050 are projected to be 21 and 24% higher
than in 2010 (Table 1). The projections indicate that although in abso-
lute terms the increases are mostly due to the increase in demand for
rice, in relative terms the demand for maize will increase steeply.
With the low and high variants of population increase, combined total
demand is expected to increase by respective 13 and 29% (year 2030)
and 6 and 45% (year 2050) relative to year 2010.
3.3. Future production of maize, rice, wheat, and all-grains
With 2010 land areas and yield levels (i.e. base scenario), the total
production of maize, wheat, rice, and all-grains in 2010 was 1.0, 0.8,
28.3, and 29.7 million tons, respectively (Table 4). Thus, the maize pro-
duction could potentially meet two-thirds of the demand, while consid-
erable amount of wheat import was required (Tables 1 and 4). The
production of rice and all-grains, was just sufficient to meet the national
demand (Tables 1 and 4). When the arable land area decreases by 20%
(scenario A) and yield levels remain the same in 2050 as in 2010, the
total production of all cereals as well as that of all-grains will also de-
crease sharply. Scenarios B, C, D and E (but with 2010 yield levels)
lead mainly to a small decrease in rice production, but to small increases
in maize and wheat production compared to scenario A (Table 4). Halv-
ing the boro rice area in scenario F results in strong production de-
creases for both rice and all-grains (15.8 and 17.8 million tons,
respectively) compared to the production under other scenarios
Table 3
Mean values (t ha−1
) for the potential (Yp), water-limited potential (Yw), and actual (Ya - 2010) yields, the yield gaps (Yg), 85% of Yp or 80% of Yw, or full Yg closure, and 50% Yg closure for
the years 2030 and 2050 for the main grain crops in Bangladesh.
Yield levels
(t ha-1)
Maize Wheat Rice
Irrigated, rabi Rainfed, kharif-1 and rabi Irrigated Rainfed Irrigated, boro Rainfed, aman Rainfed, aus
Yield potential
(irrigated or rainfed; Yp or Yw)
11.40 8.00 5.50 3.00 11.70 6.50 7.80
Actual yield (Ya) 6.20 4.50 2.80 1.80 5.85 3.41 2.88
Yield gap (Yg) 5.20 3.50 2.70 1.20 5.85 3.09 4.92
85% of Yp, or 80% of Yw, or full Yg closure 9.69 6.40 4.68 2.40 9.95 5.20 6.24
50% Yg closure 7.95 5.45 3.74 2.10 7.90 4.31 4.56
5J. Timsina et al. / Agricultural Systems xxx (2016) xxx–xxx
Please cite this article as: Timsina, J., et al., Can Bangladesh produce enough cereals to meet future demand?, Agricultural Systems (2016), http://
dx.doi.org/10.1016/j.agsy.2016.11.003
6. (21.6–21.9 million tons for rice and 23.2–23.9 million tons for all-
grains). By achieving 80% of Yw or 85% of Yp of all crops, the production
of all individual cereals and all-grains will increase significantly for all
scenarios, except scenario F in which 50% of boro rice is replaced by
cash crops. For scenario F, there will be further reduction in rice and
all-grains production (26.0 and 29.1 million tons, respectively), indicat-
ing that there will not be enough rice and all-grains even though 80–
85% of Yp or Yw is achieved. With 50% yield gap closure, there will be
a slight decrease in rice production, strong and moderate increases in
respectively, maize and wheat production (Table 4).
3.4. Future cereal self-sufficiency ratios for different scenarios
Current (2010) SSRs for maize and wheat are 0.67 and 0.21 respec-
tively, while for rice it is 1.09, resulting in 0.99 for all-grains (Table 5).
For the future scenario without yield increase and no cropland area ex-
pansion, SSRs for all the three grain crops as well for the combined in
milled rice equivalent decrease considerably in 2030 (Table 5). For all
land use change scenarios in 2030 but scenario F, SSR for all-grains de-
creases from 0.82 to 0.73–0.75 due to decease in SSRs for rice (from
0.94 to 0.82–0.84), while the SSRs for maize increase in most scenarios
(from 0.44 to 0.61). Scenario F assumes a drastic decrease of boro rice
area, resulting in much lower SSRs for rice (0.60) and all-grains (0.55).
As the demand in 2050 is projected to be only moderately higher than
in 2030 (Table 1), SSR for all-grains for the base scenario in 2050 will
only be slightly lower than that in 2030 (0.80 vs. 0.82; Table 5). As
land areas are assumed to further decrease between 2030 and 2050
under scenarios A-F, SSRs for all-grains in 2050 are projected to de-
crease further, i.e., from 0.80 (baseline) to 0.62–0.64 (scenarios A–E)
and 0.48 (scenario F).
With Yg closure equivalent to 80% of Yw or 85% of Yp on existing
cropland area, and cereal demand estimated based on the medium UN
variant scenario, estimated SSRs for maize, wheat, rice, and all-grains
by 2030 are 0.68, 0.25, 1.55, and 1.35, respectively, indicating that Ban-
gladesh can be self-sufficient for rice and all-grains through Yg closure
(Table 6). And even with a 10% decrease in cropland area (scenario A),
Bangladesh remains self-sufficient for rice and all-grains by year 2030
(SSRs of 1.40 and 1.22 respectively). Likewise, even with 50% yield gap
closure on existing cropland area, SSRs in 2030 for rice and all-grains re-
mains N1 (1.24 and 1.09, respectively) and with 10% decrease in area,
the respective SSRs will be 1.12 and 0.98 (Table 6). However, in all the
above mentioned scenarios, SSRs for maize and wheat remain low
(b0.68 and b0.25 respectively). Still, it is remarkable that with 50%
yield gap closure (i.e., an increase in Ya of around 25% for maize and
Table 4
Total production (million tons grains yr−1
) for maize, rice, wheat and all-grains for 2010
(with yields and land use for 2010), and for future supplya
(with 2010 yield levels, 85%
of Yp and 80% of Yw, and 50% yield gap closures) for six land use change scenarios in
2050 in Bangladesh.
Year Scenarios Maize Wheat Rice All-grainsb
2010 Base scenario 1.01 0.83 28.29 29.67
2010 yield levels
2050 Scenario A 0.81 0.66 22.63 23.74
Scenario B 1.23 0.86 21.56 23.19
Scenario C 1.52 0.97 21.89 23.86
Scenario D 1.52 0.97 21.60 23.57
Scenario E 1.54 0.97 21.67 23.66
Scenario F 1.54 0.97 15.77 17.79
80 of Yw or 85% of Yp
2050 Scenario A 1.25 1.08 37.54 39.28
Scenario B 1.91 1.40 35.72 38.29
Scenario C 2.32 1.55 36.28 39.33
Scenario D 2.32 1.55 35.84 38.88
Scenario E 2.35 1.55 35.98 39.06
Scenario F 2.35 1.55 25.95 29.08
50% yield gap closure
2050 Scenario A 1.03 0.87 30.09 31.51
Scenario B 1.57 1.13 28.64 30.74
Scenario C 1.92 1.26 29.09 34.06
Scenario D 1.92 1.26 28.72 31.40
Scenario E 1.95 1.26 28.83 31.36
Scenario F 1.95 1.26 20.86 23.43
a
Future cereal supply is calculated as the actual yields (2010), 85% of Yp for irrigated
and 80% of Yw for rainfed crops, or 50% Yg closure (2050) times the actual area and yields
in 2010 (base scenario), or the future land areas used for the three grain crops for the six
land use change scenarios for 2050.
b
Total production of the three main grain crops is converted into milled grains (air dry)
by applying the ratios between the amount of calories kg−1
grains for the main grain crops
and that for milled rice (i.e., maize 3180 kcal kg−1
; milled rice 3600 kcal kg−1
; wheat
2730 kcal kg−1
).
Table 5
Self-sufficiency ratios for maize, rice, wheat and all-grains in 2010 (i.e., with yield levels
and land use of 2010), and for 2030 and 2050a
demandb
(with 2010 yield levels). Current
land use (base scenario) and six different land use change scenarios (scenarios A–F) are
assessed.
Year Scenarios Maize Wheat Rice All-grains
2010 Base scenario 0.67 0.21 1.09 0.99
2030 Base scenario 0.44 0.15 0.94 0.82
Scenario A 0.39 0.14 0.84 0.74
Scenario B 0.49 0.15 0.82 0.73
Scenario C 0.61 0.18 0.84 0.75
Scenario D 0.61 0.18 0.83 0.74
Scenario E 0.61 0.18 0.83 0.74
Scenario F 0.61 0.18 0.60 0.55
2050 Base scenario 0.36 0.12 0.96 0.80
Scenario A 0.29 0.10 0.77 0.64
Scenario B 0.44 0.12 0.73 0.62
Scenario C 0.54 0.14 0.74 0.64
Scenario D 0.54 0.14 0.73 0.63
Scenario E 0.55 0.14 0.73 0.64
Scenario F 0.55 0.14 0.53 0.48
a
Future food supply is calculated as the actual yields times the actual area (in 2010), or
the future areas used for the three crops for the six different land use change scenarios for
2030 and 2050. Actual yields are year 2010 yields.
b
Future food demand is calculated as the estimated population sizes for 2030 or 2050
from UN medium population projection (source: UN population prospects, see http://
esa.un.org/wpp/) times the mean demands per capita in Bangladesh for rice and wheat
as derived from the IMPACT and for maize from FAO food balance.
Table 6
Self-sufficiency ratios for maize, rice, wheat and all-grains for future supplya
(85% of Yp for
irrigated and 80% of Yw for rainfed crops, and 50% yield gap closure) and demandb
situa-
tions for the current land use and for six different land use change scenarios for 2030 in
Bangladesh.
Scenarios Maize Wheat Rice All-grains
80 of Yw or 85% of Yp
2010 area 0.68 0.25 1.55 1.35
Scenario A 0.61 0.22 1.40 1.22
Scenario B 0.75 0.25 1.37 1.20
Scenario C 0.93 0.28 1.38 1.23
Scenario D 0.93 0.28 1.38 1.23
Scenario E 0.94 0.28 1.38 1.23
Scenario F 0.94 0.28 0.99 0.91
50% yield gap closure
2010 area 0.58 0.20 1.24 1.09
Scenario A 0.50 0.18 1.12 0.98
Scenario B 0.62 0.20 1.10 0.97
Scenario C 0.77 0.23 1.11 0.99
Scenario D 0.77 0.23 1.10 0.98
Scenario E 0.78 0.23 1.11 0.99
Scenario F 0.78 0.23 0.80 0.73
a
Future food supply is calculated as full yield gap closure (85% of Yp for irrigated and
80% of Yw for rainfed crops) and 50% yield gap closure (for 2030) times the actual area (in
2010) and the future areas used for the three grain crops for the six different land use
change scenarios for 2030.
b
Future food demand is calculated as the estimated population sizes for 2030 from UN
medium population projection (source: UN population prospects, see http://esa.un.org/
wpp/) times the mean demands per capita in Bangladesh for rice and wheat as derived
from the IMPACT and for maize from FAO food balance.
6 J. Timsina et al. / Agricultural Systems xxx (2016) xxx–xxx
Please cite this article as: Timsina, J., et al., Can Bangladesh produce enough cereals to meet future demand?, Agricultural Systems (2016), http://
dx.doi.org/10.1016/j.agsy.2016.11.003
7. wheat and around 35–40% for rice between 2010 and 2030), Bangla-
desh can maintain an overall cereal SSR close to one.
For scenarios B–E, there are higher SSRs for maize, wheat and all-
grains compared to scenario A with both 50% yield gap closure (0.18–
0.98 for scenario A vs. 0.20–0.99 for others) and full closure (0.22–
1.22 vs. 0.28–1.23). A 50% decrease in boro rice areas (scenario F)
leads to SSRs b1 for all crops (0.23–0.80 for 50% Yg closure and 0.28–
0.99 for full yield gap closure) (Table 6).
Because land areas are assumed to continue to decrease between
2030 and 2050, SSRs for all-grains under all scenarios except scenario
F in 2050 may drop to values just above 1.0 (from 1.32 to 1.03–1.06)
with 80% of Yw or 85% of Yp), while the levels drop to well below 1.0
(from 1.06 to 0.83–0.88) with only 50% yield gap closure. For scenario
F, SSRs drop to 0.78 and 0.63, respectively, with full or 50% yield gap clo-
sures. For rice, SSRs for various scenarios, except scenario F, will range
from 1.21 to 1.27 with full yield gap closures and from 0.97 to 1.02
with 50% yield gap closure, while for maize and wheat they range
from 0.36 to 0.83 and from 0.12 to 0.22 across the two levels of Yg clo-
sures. For scenario F, SSRs for the three cereals range from 0.18 to 0.70
with 50% yield gap closure and from 0.22 to 0.88 with full yield gap clo-
sure (Table 7). The SSR values with b1.0 for scenario F in both 2030 and
2050 indicate that, even a yield gap closure with 80% of Yw or 85% of Yp
will not be sufficient to meet cereal demand, including rice, if a drastic
decrease in boro rice area occurs in future.
3.5. Effects of different population projections and dietary changes
The effect of different variants in population growth for what we
consider the most likely scenario, i.e. scenario E with increased cropping
intensity, is small for 2030 (Fig. 3a), but substantial for 2050 (Fig. 3b). By
2050, even with Yg closure up to 85% of Yp or 80% of Yw, SSR for this sce-
nario may drop below one under the high population growth variant,
because of a combination of high population growth and land use
change (Fig. 3b). Changes in relative demands for rice (decrease) and
maize (increase) for the medium variant population have a clear effect
on cereal self-sufficiency when cereals supplies are calculated under
full Yg closure (Fig. 3c, d). This is particularly true for the year 2050
(Fig. 3d), when maize consumption is assumed to double due to
increased demand for fish, livestock and poultry products. The SSR for
all-grains becomes low (0.94) and further decreases (0.81) for the
cases with rice consumption substituted by, respectively, the same or
double the amount of maize calories (Fig. 3c, d).
4. Discussion and conclusions
Future domestic supply of cereals depends mainly on possible
changes in land use and yield gap closure. Our simulation results reveal
that the Yp of maize and boro rice in Bangladesh can be N11 t ha−1
and
that of wheat can be N5 t ha−1
, while Yw can range between 6.5 and
7.8 t ha−1
for aman and aus rice (Table 3; Figure SI1 and Figure SI2).
The simulated maize Yp in this study is lower than those reported by
Timsina et al. (2010, 2011), the simulated Yp of rice is similar. Likewise,
the simulated Yp for wheat across the country is slightly lower than that
recorded from well-managed trials from large numbers of fields
(Rawson et al., 2011) as well as also lower than those reported by
Timsina and Humphreys (2006). The discrepancies in simulated and ob-
served yields for rice are expected as the Yp for boro rice in this study
was averaged for eight locations of Bangladesh using observed weather
data while the Yp from Timsina et al. (2010, 2011) was based on only
three locations and simulated using the NASA weather data. Difference
in Yp for wheat between the current study and Timsina and Humphreys
(2006) is probably due to difference in weather years and models used
for simulations. We used the WOFOST model while Timsina and
Humphreys (2006) used CERES-Wheat and these two studies used dif-
ferent years of weather data for simulations.
The absolute yield gaps of all cereals in this study were large (Table
1). In relative terms, Yg was about 45% for maize and wheat, around 50%
for boro and aman, and N60% for aus rice. Khan et al. (2013) and Mondal
(2011) reported 16–60% Yg in rice; Hasan and Islam (2010), Kashem et
al. (2012), and Mondal (2011) reported 16–27% for wheat; and Ali et al.
(2008) estimated 30–40% Yg in maize. All these authors, except
Schulthess et al. (2012), however, calculated Yg as the difference be-
tween yields from the highest-yielding treatments in experiments and
Ya averaged over 1–2 years while in our study Yg was calculated as
the difference between model-based Yp or Yw and Ya, the latter aver-
aged over at least five years across climatic zones; Figure SI3. Actual
yields vary by year, season and locations, and thus such discrepancies
in Yg across crops and regions are (Grassini et al., 2015). Our Yp, Yw
and Yg estimates indicate that the Yg in all cereals can be closed sub-
stantially either by increasing the Yp or Ya. Fischer et al. (2009, 2014)
suggested two avenues to close the Yg by: (i) increasing actual farmers'
yields more in line with current Yp levels by improving the agronomic
management practices such as improved crop, water, nutrient and
pest and disease management practices, and (ii) maintaining or increas-
ing the rates of progress of Yp by either adopting modern plant breeding
and molecular techniques such as use of molecular markers and new
transgenes.
Our estimates indicate that current yields in Bangladesh are not suf-
ficient to meet future food demand due to a combination of expected
cropland area reduction and expected grain demand increases. As a re-
sult, under various land use change scenarios, SSRs of all cereals will de-
crease substantially in 2030 and 2050. However, with full yield gap
closure (i.e., 80 of Yw or 85% of Yp) rice and all-grains supply will be suf-
ficient (26.0–37.5 and 29.1–39.3 million tons, respectively) to meet
their demands (29.5 and 37.3 million tons, respectively) in 2050. How-
ever, still some shortage of maize and huge shortage of wheat occurs in
the various scenarios (i.e., 1.3–2.4 and 1.1–1.6 million tons, respective-
ly) compared to the demands of 2.8 (maize) and
7.0 (wheat) million tons. With the 50% Yg closure there will be some
shortage of rice, but huge shortages of maize, wheat and all-grains.
Our analysis indicates that with the current (2010) yield levels but
with various land use change scenarios in 2050, only about 50% of
maize demand will be met. If yield gaps are closed to 50% of Yp about
65% of the maize demand will be met, if yield gaps are closed to 85%
Table 7
Self-sufficiency ratios for maize, rice, wheat and all-grains for future supplya
(85% of Yp for
irrigated and 80% of Yw for rainfed crops, and 50% yield gap closures) and demandb
situ-
ations for the current land use (i.e. 2010 area) and for six different land use change scenar-
ios for 2050 in Bangladesh.
Scenarios Maize Wheat Rice All-grains
80 of Yw or 85% of Yp
2010 area 0.55 0.19 1.59 1.32
Scenario A 0.44 0.15 1.27 1.05
Scenario B 0.68 0.20 1.21 1.03
Scenario C 0.82 0.22 1.23 1.06
Scenario D 0.82 0.22 1.21 1.04
Scenario E 0.83 0.22 1.22 1.05
Scenario F 0.83 0.22 0.88 0.78
50% yield gap closure
2010 area 0.46 0.16 1.27 1.06
Scenario A 0.36 0.12 1.02 0.85
Scenario B 0.56 0.16 0.97 0.83
Scenario C 0.68 0.18 1.00 0.85
Scenario D 0.68 0.18 0.97 0.84
Scenario E 0.69 0.18 0.97 0.88
Scenario F 0.71 0.18 0.70 0.63
a
Future food supply is calculated as full yield gap closure (85% of Yp for irrigated and
80% of Yw for rainfed crops) and 50% of yield gap closure (for 2050) times the actual area
(in 2010) and the future areas used for the three grain crops for the six different land use
change scenarios for 2050.
b
Future food demand is calculated as the estimated population sizes for 2050 from UN
medium population projection (source: UN population prospects, see http://esa.un.org/
wpp/) times the mean demands per capita in Bangladesh for rice and wheat as derived
from the IMPACT and for maize from FAO food balance.
7J. Timsina et al. / Agricultural Systems xxx (2016) xxx–xxx
Please cite this article as: Timsina, J., et al., Can Bangladesh produce enough cereals to meet future demand?, Agricultural Systems (2016), http://
dx.doi.org/10.1016/j.agsy.2016.11.003
8. of Yp, about 85% of maize demand will be met. For wheat, even with full
yield gap closure, only about 25% of the demand will be met. Hence, for
various land use change scenarios, some imports are required for maize
(0.9–1.8 million tons with 50% Yg closure and 0.5–1.6 million tons with
full Yg closure) but large amounts for wheat (5.8–6.1 million tons with
50% Yg closure and 5.5–5.9 million tons with full Yg closure). For rice
and current yield levels, there will be huge deficit of about
8 million tons yr−1
in 2050.With 50% Yg closure, rice demand will not
be fully fulfilled in most scenarios, but with full Yg closure, all rice de-
mand will be met with a surplus of about 6–8 million tons across the
scenarios, except for scenario F (larger share of cash crops). The latter
scenario requires an import of about 8.5 million tons with 50% closure
and about 3.5 million tons with full closure. The reduced boro rice
areas under scenario F can be used for maize, wheat, or other high
value crops such as spices and vegetables considering comparative ad-
vantages of growing crops in different agro-ecological regions so that
farmers' income can be increased. We conclude that full Yg closure
(i.e., attaining 80 of Yw or 85% of Yp) of all cereals is needed to compen-
sate for area decreases and demand increases, and to maintain self-suf-
ficiency in rice and all-grains jointly.
Our study considers various scenarios related to land use changes
and different levels of yield increases or yield gap closure in future.
There are also possibilities of happening some or all the characteristics
of various scenarios in various combinations. However, to simplify the
calculations and draw clear conclusions to help policy makers, we con-
sidered only the most likely scenarios in future. Further, although the
study indirectly considers the diet changes by allowing increase in
area under maize and other high-value crops through reduction in
boro rice areas under scenario F, it does not explicitly consider different
scenarios of diet changes such as from cereals to meat- and fish-based
products. In addition, it is likely that crop production in Bangladesh
will be negatively affected by climate change due to its location in a
delta, being prone to storms surges, sea level rise and flooding hazards
(Thomas et al., 2012). Hence, we believe that our projections might be
optimistic in the light of climate change. Yet, our analysis provides a ro-
bust basis for the assessment of food self-sufficiency and food security
for Bangladesh under additional scenarios of climate.
Acknowledgement
This research was conducted under the Global Yield Gap Atlas
(GYGA) project co-funded by the Bill and Melinda Gates Foundation.
We thank all researchers who assisted in secondary data collection
and provided intellectual inputs, and the Bangladesh Meteorological
Fig. 3. Self-sufficiency ratios (SSRs) for the total supply and the total demand for rice, maize and wheat grains for the base year 2010 (i.e. yields, land use and food demand for 2010) and for
land use change scenario E with full yield gap closure (i.e., 80 of Yw or 85% of Yp) and food demands in 2030 (a) and 2050 (b) for respectively low, medium and high population projections,
and the same demands but with rice demand per capita decreased by 10% in 2030 (c) and by 20% in 2050 (d) in comparison to the rice demand for 2010 and replaced by the same and the
doubled caloric amount as maize grains.
8 J. Timsina et al. / Agricultural Systems xxx (2016) xxx–xxx
Please cite this article as: Timsina, J., et al., Can Bangladesh produce enough cereals to meet future demand?, Agricultural Systems (2016), http://
dx.doi.org/10.1016/j.agsy.2016.11.003
9. Department for access to climatic data. We gratefully acknowledge Prof.
Mark Rosegrant for kindly providing demand data from the IMPACT
model. The senior author acknowledges the C.T. de Wit graduate school
for Production Ecology & Resource Conservation of Wageningen Univer-
sity for sponsoring a short fellowship at Wageningen University.
Appendix A. Supplementary data
Supplementary data to this article can be found online at http://dx.
doi.org/10.1016/j.agsy.2016.11.003.
References
Ahmed, A.U., Ahmad, K., Chou, V., Hernandez, R., Menon, P., Naeem, F., Naher, F., Quabili,
W., Sraboni, E., Yu, B., 2013. The Status of Food Security in the Feed the Future Zone
and Other Regions of Bangladesh: Results From the 2011–2012 Bangladesh Integrat-
ed Household Survey. International Food Policy Research Institute, Washington, DC.
Alkanda, A.I., 2010. Rethinking crop diversification under changing climate, hydrology
and food habit in Bangladesh. J. Agric. Environ. Int. Devt. 104, 3–23.
Ali, M.Y., Waddington, S.R., Hodson, D., Timsina, J., Dixon, J., 2008. Maize-rice Cropping
Systems in Bangladesh: Status and Research Opportunities. CIMMYT-IRRI joint publi-
cation, CIMMYT, Mexico.
Amarasinghe, U.A., Sharma, B.R., Muthuwatta, L., Khan, Z.H., 2014. Water for Food in Ban-
gladesh: Outlook to 2030. Research Report No. 158. International Water Management
Institute (IWMI), Colombo, p. 32.
BBM (Bangladesh Bureau of Meteorology), 2015. http://www.bmd.gov.bd/?/home/.
Bouman, B.A.M., Kropff, M.J., Tuong, T.P., Wopereis, M.C.S., ten Berge, H.F.M., van Laar,
H.H., 2001. Oryza2000: Modeling Lowland Rice. Los Baños (Philippines): Internation-
al Rice Research Institute, and Wageningen (Netherlands). Wageningen University
and Research Centre (235 p).
BBS (Bangladesh Bureau of Statistics), 2013. Statistical Yearbook of Bangladesh 2012.
32nd ed. Statistics and Information Division, Ministry of Planning, Dhaka,
Bangladesh.
Carberry, P.S., Poulton, P.L., Dalgliesh, N.P., 2011. Potential yields of wheat crops in south-
ern Bangladesh. In: Rawson, H.M. (Ed.), Sustainable Intensification of Rabi Cropping
in Southern Bangladesh Using Wheat and Mungbean. ACIAR Technical Reports No.
78. ACIAR, Canberra, Australia, pp. 195–201.
Cassman, K.G., Dobermann, A., Walters, D.T., Yang, H.S., 2003. Meeting cereal demand
while protecting natural resources and improving environmental quality. Annu.
Rev. Environ. Resour. 28, 315–358.
Clark, D., Williams, S., Jahiruddin, M., Parks, K., Salehin, M., 2015. Projections of on-farm
salinity in coastal Bangladesh. Evnviron. Sci. Process. Impacts 17, 1127–1136.
Dey, N.C., Bala, S.K., Islam, A.K.M.S., Rashid, M., Hossain, M., 2013. Sustainability of ground-
water use for irrigation in Northwest Bangladesh. NFPCSP, BRAC, FAO, USAID Joint
Study. Government of Bangladesh, Dhaka, Bangladesh (89 p).
Evans, L.T., 1993. Crop Evolution, Adaptation and Yield. Cambridge University Press.
FAOSTAT, 2015. FAO Statistical Database: Production and Trade. (Verified: December
2015. Online:). http://faostat.fao.org/.
Fischer, R.A., Byerlee, D., Edmeades, G.O., 2009. Can technology deliver on the yield chal-
lenge to 2050? FAO Expert Meeting on How to Feed the World in 2050, pp. 24–26
(June 2009)
Fischer, R.A., Byerlee, D., Edmeades, G.O., 2014. Crop Yields and Global Food Security: Will
Yield Increase Continue to Feed the World? ACIAR, Canberra (640 p)
Ganesh-Kumar, A., Prasad, S.K., Pullabhotla, H., 2012. Supply and Demand for Cereals in
Bangladesh, 2010–2030. IFPRI Discussion Paper 01186. Environment and Production
Technology Division. IFPRI, Washington D.C. (30 pp).
Government of Bangladesh, 2010. Outline Perspective Plan of Bangladesh 2010–2021:
Making Vision 2021 a Reality. General Economic Division, Planning Commission.
Government of the People's Republic of Bangladesh. http://www.plancomm.gov.bd/
Final_Draft_OPP_June_2010.pdf.
Grassini, P., Van Bussel, L.G.J., Van Wart, J., Wolf, J., Claessens, L., Yang, H., Boogaard, H., de
Groot, H., Van Ittersum, M.K., Cassman, K.G., 2015. How good is good enough? Data
requirements for reliable crop yield simulations and yield-gap analysis. Field Crop
Res. 177, 49–63.
Hasan, M.K., Islam, S.M.F., 2010. Technical inefficiency of wheat production in some se-
lected areas of Bangladesh. Bangladesh J. Agric. Res. 35, 101–112.
Hasan, M.N., Hossain, M.S., Bari, M.A., Islam, M.R., 2013. Agricultural Land Availability in
Bangladesh. SRDI, Dhaka, Bangladesh (42 pp).
Hossain, A., Silva, J.A.T., 2013. Wheat production in Bangladesh: its future in the light of
global warming. AoB Plants 5, pls042. http://dx.doi.org/10.1093/aobpla/pls042.
IPCC, 2014. Chapter 5, coastal systems and low-lying areas. In: Field, C.B., Barros, V.R.,
Dokken, D.J., Mach, K.J., Mastrandrea, M.D., Bilir, T.E., Chatterjee, M., Ebi, K.L.,
Estrada, Y.O., Genova, R.C., Girma, B., Kissel, E.S., Levy, A.N., MacCracken, S.,
Mastrandrea, P.R., White, L.L. (Eds.), Climate Change 2014: Impacts, Adaptation,
and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working
Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate
Change. Cambridge University Press, Cambridge, United Kingdom and New York,
NY, USA (1132 pp).
Islam, N., 2003. Demand projections for poultry products and poultry feeds in Bangladesh.
MSSD Discussion Paper No. 54. International Food Policy Research Institute, Wash-
ington D.C., USA (43 p).
Islam, S., 2016. Assessment of Soil Potassium Supplying Capacity of Major Soils for Rice-
maize Cropping Systems in Bangladesh. Ph. D. dissertation. Bangladesh Agricultural
University, Bangladesh (under review).
Kashem, M.A., Miah, M.A.M., Islam, M.A., Roy, P.C., 2012. Factors responsible for yield gap
of wheat at farmers' field in two districts of Bangladesh. Progress. Agric. 23, 91–99.
Khan, A.S.M., Anwar, M., Akter, S., Prodhan, Z.H., Mondal, M.H., 2013. Identification of fac-
tors influencing yield gaps in mustard, potato and rice in some selected areas of Ban-
gladesh and strategies to minimize the gaps. Bangladesh J. Agric. Res. 38, 227–240.
Mainuddin, M., Kirby, M., 2015. National food security in Bangladesh to 2050. Food Sec.
http://dx.doi.org/10.1007/s12571-015-0465-6.
Mbugua, A., Snijders, J.M., 2012. Study Report on Water Scarcity in Northern Bangladesh.
Gram Bikash Kendra VSO, Dhaka, Bangladesh (31 p).
Miah, M.A.M., Hossain, T.M.B., Matin, M.A., Hossain, S., Moniruzzaman, K.R., 2013. Assess-
ments of the Maize Situation, Outlook and Investment Opportunities to Ensure Food Se-
curity in Bangladesh (Published jointly by BARI, Bangladesh and ICAR, India. 155 p).
MOA-FAO, 2012. Master Plan for Agricultural Development in the Southern Region of
Bangladesh. Ministry of Agriculture (MoA, Government of Bangladesh) and United
Nations Food and Agriculture Organization, Dhaka, Bangladesh (122 p).
Mondal, M.H., 2011. Causes of yield gaps and strategies for minimizing the gaps in differ-
ent crops of Bangladesh. Bangladesh J. Agric. Res. 36, 469–476.
Mukherjee, N., Choudhury, G.A., Khan, M.F.A., Islam, A.K.M.S., 2011. Implication of changing
consumption pattern on food security and water resources in Bangladesh. 3rd Int. Conf.
on Water & Flood Management (ICWFM-2011), January 2011, Dhaka, Bangladesh.
Qureshi, A.S., Ahmad, Z.U., Krupnik, T.J., 2015. Moving from resource development to re-
source management: problems, prospects and policy recommendations for sustain-
able groundwater management in Bangladesh. Water Resour. Manag. http://dx.doi.
org/10.1007/s11269-015-1059-y (On-line).
Rawson, H.M., 2011. Sustainable Intensification of Rabi Cropping in Southern Bangladesh
Using Wheat and Mungbean. ACIAR Technical Reports No. 78. ACIAR, Canberra,
Australia.
Rawson, H.M., Saifuzzaman, M., Sarker, A.Z., Hossain, I., Khan, M.M., Khaleque, M.A., Khan,
A.A., Akhter, M.M., Hossain, A., 2011. Building yield in Bangladesh wheat crops: expe-
rience from traditional wheat-producing regions. In: Rawson, H.M. (Ed.), Sustainable
Intensification of Rabi Cropping in Southern Bangladesh Using Wheat and Mungbean.
ACIAR Technical Reports No. 78. ACIAR, Canberra, Australia.
Robinson, S., Mason, d.'C., Daniel, M., Islam, S., Sulser, T.B., Robertson, R.D., Zhu, T., Gueneau,
A., Pitois, G., Rosegrant, M.W., 2015. The International Model for Policy Analysis of Agri-
cultural Commodities and Trade (IMPACT): Model Description for Version 3. IFPRI Dis-
cussion Paper 1483. International Food Policy Research Institute (IFPRI), Washington,
D.C. http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/129825.
Santos Valle, S., Qureshi, A.S., Islam, M.S., Hossain, M.A., Gathala, M.K., Krupnik, T.J., 2014.
Axial flow pumps can reduce energy use and costs for low-lift surface water irrigation
in Bangladesh. Cereal Systems Initiative for South Asia Mechanization and Irrigation
(CSISA-MI) Project, Research Report No. 1. CIMMYT, Dhaka, Bangladesh.
Schulthess, U., Timsina, J., Herrera, J.M., McDonald, A., 2012. Mapping field-scale yield
gaps for maize: an example from Bangladesh. Field Crop Res. 143, 151–156.
Thomas, T.S., Mainuddin, K., Chiang, C., Rahman, A., Haque, A., Islam, N., Quasem, S., Sun,
Y., 2012. Agriculture and Adaptation in Bangladesh: Current and Projected Impacts of
Climate Change. International Food Policy Research Institute, Washington (accessed
July 2015. Available at). http://www.ifpri.org/publication/agriculture-and-
adaptation-Bangladesh.
Timsina, J., Connor, D.J., 2001. Productivity and management of rice-wheat cropping sys-
tems: issues and challenges. Field Crop Res. 69, 93–132.
Timsina, J., Humphreys, E., 2006. Performance of CERES-Rice and CERES-wheat models in
rice-wheat systems: a review. Agric. Syst. 90, 5–31.
Timsina, J., Buresh, R.J., Dobermann, A., Dixon, J., 2011. Rice-Maize Systems in Asia: Cur-
rent Situation and Potential. IRRI and CIMMYT, Los Banos (Philippines) (235 p).
Timsina, J., Jat, M.L., Majumdar, K., 2010. Rice-maize systems of South Asia: current status,
future prospects and research priorities for nutrient management. Plant Soil 335,
65–82.
United Nations (UN), 2015. Unjted Nations Department of Economic and Social Affairs.
World Population Prospects, the 2015 Revision. http://esa.un.org/wpp/unpp/panel_
population.htm.
van Bussel, L.G.J., Grassini, P., Van Wart, J., Wolf, J., Claessens, L., Yang, H., Boogaard, H., de
Groot, H., Saito, K., Cassman, K.G., van Ittersum, M.K., 2015. From field to atlas:
upscaling of location-specific yield gap estimates. Field Crop Res. 177, 98–108.
Van Ittersum, M.K., Rabbinge, R., 1997. Concepts in production ecology for analysis and
quantification of agricultural input-output combinations. Field Crop Res. 52, 197–208.
Van Ittersum, M.K., Cassman, K.G., Grassini, P., Wolf, J., Tittonell, P., Hochman, Z., 2013.
Yield gap analysis with local to global relevance — a review. Field Crop Res. 143, 4–17.
Van Oort, P.A.J., Saito, K., Tanaka, A., Amovin-Assagba, E., Van Bussel, L.G.J., Van Wart, J., De
Groot, H., Van Ittersum, M.K., Cassman, K.G., Wopereis, M.C.S., 2015. Assessment of
rice self-sufficiency in 2025 in eight African countries. Glob. Food Sec. 5, 39–49.
Van Wart, J., Kersebaum, C.K., Peng, S., Milner, M., Cassman, K.G., 2013. Estimating crop
yield potential at regional to national scales. Field Crop Res. 143, 34–43.
WARPO, 2006. Coastal development strategy. Water Resources Planning Organization.
Ministry of Water Resources, Govt. People's Republic of Bangladesh.
Wolf, J., Hessel, R., Boogaard, H.L., De Wit, A., Akkermans, W., Van Diepen, C.A., 2011.
Modeling winter wheat production over Europe with WOFOST–the effect of two
new zonations and two newly calibrated model parameter sets. In: Ahuja, L.R., Ma,
L. (Eds.), Methods of Introducing System Models into Agricultural Research. Advances
in Agricultural Systems Modeling 2: Trans-disciplinary Research, Synthesis, and Ap-
plications. ASA-SSSA-CSSA Book Series, pp. 297–326.
Yang, H.S., Dobermann, A., Lindquist, J.L., Walters, D.T., Arkebauer, T.J., Cassman, K.G.,
2004. Hybrid-maize — a maize simulation model that combines two crop modeling
approaches. Field Crop Res. 87:131–154. http://dx.doi.org/10.1016/j.fcr.2003.10.003.
9J. Timsina et al. / Agricultural Systems xxx (2016) xxx–xxx
Please cite this article as: Timsina, J., et al., Can Bangladesh produce enough cereals to meet future demand?, Agricultural Systems (2016), http://
dx.doi.org/10.1016/j.agsy.2016.11.003