Powerpoint by Samuel Soki Harding, Daniel Santigie Fornah, and Edward S.A. Kargbo presented at the West Africa SRI Workshop in Ouagadougou, Burkina Faso on July 26-27, 2012.
This document discusses agricultural water savings from the System of Rice Intensification (SRI) in Sichuan, China. It provides general information on the application and spread of SRI in China, and evaluations showing SRI can increase rice yields by 20-55% with modified transplanting methods. SRI also promotes more vigorous plant growth while requiring fewer inputs, especially 25.6% less irrigation water. The document then discusses research in Sichuan showing various SRI techniques like dry seedbed nurseries and mulching can save 30-50% of water for rice production compared to conventional methods, while maintaining or increasing yields. It concludes by discussing prospects for SRI to help address water management issues in Sichuan's
This document summarizes research on using SRI (System of Rice Intensification) methods and other water saving techniques to increase rice yields and water use efficiency in Sichuan, China. Key points include:
- SRI methods increased average rice yields in Sichuan by 20-55% and reduced water use by 25.6% compared to conventional practices.
- Improved SRI techniques for Sichuan include using tray nurseries, transplanting younger seedlings in oblong patterns with triangles, applying herbicides, and using shallow furrows with alternate wetting and drying for water management.
- Adoption of SRI and other water saving methods like dry seedbed nurseries and mul
1. The study examines the economic viability of the System of Rice Intensification (SRI) method compared to traditional rice farming among farmers in Sri Lanka.
2. Key findings include SRI with improved rice varieties having the highest land productivity and profitability, though it requires more labor than traditional methods.
3. While SRI provides benefits, the higher labor costs need to be addressed, and market development is important for traditional rice varieties. The study suggests laborsaving techniques and cooperative organizations to support wider adoption of SRI.
Presenter: Ma Jun,
Sichuan Agricultural University
Workshop on the System of Rice Intensification, Exchanging Experience in
China, the Democratic People's Republic of Korea and InternationallyOrganized and
hosted by the China National Rice Research Institute (CNRRI), with support from The
Asia Foundation.
Hangzhou, China, February 28-March 2, 2010
Title: Agroecological Crop Management for Increased Productivity- Experience with Rice and Other Crops
Date: 24 January 2013
Presented by Norman Uphoff at the 6th International Seminar on Agricultural Policies, Instituto Interamericano de Cooperation para la Agricultura (IICA), Santo Domingo, Domincan Republic
Presentation by Chun-E Kan
Title: System of Rice Intensification (SRI) Introduction in Taiwan: Results of Trials, Adapting to Existing Farming Systems and Local Conditions, and Making Links with the Private Sector
Venue: Cornell University
Date: April 16, 2015
Organized by: SRI-Rice, Cornell Univesity
Powerpoint by Samuel Soki Harding, Daniel Santigie Fornah, and Edward S.A. Kargbo presented at the West Africa SRI Workshop in Ouagadougou, Burkina Faso on July 26-27, 2012.
This document discusses agricultural water savings from the System of Rice Intensification (SRI) in Sichuan, China. It provides general information on the application and spread of SRI in China, and evaluations showing SRI can increase rice yields by 20-55% with modified transplanting methods. SRI also promotes more vigorous plant growth while requiring fewer inputs, especially 25.6% less irrigation water. The document then discusses research in Sichuan showing various SRI techniques like dry seedbed nurseries and mulching can save 30-50% of water for rice production compared to conventional methods, while maintaining or increasing yields. It concludes by discussing prospects for SRI to help address water management issues in Sichuan's
This document summarizes research on using SRI (System of Rice Intensification) methods and other water saving techniques to increase rice yields and water use efficiency in Sichuan, China. Key points include:
- SRI methods increased average rice yields in Sichuan by 20-55% and reduced water use by 25.6% compared to conventional practices.
- Improved SRI techniques for Sichuan include using tray nurseries, transplanting younger seedlings in oblong patterns with triangles, applying herbicides, and using shallow furrows with alternate wetting and drying for water management.
- Adoption of SRI and other water saving methods like dry seedbed nurseries and mul
1. The study examines the economic viability of the System of Rice Intensification (SRI) method compared to traditional rice farming among farmers in Sri Lanka.
2. Key findings include SRI with improved rice varieties having the highest land productivity and profitability, though it requires more labor than traditional methods.
3. While SRI provides benefits, the higher labor costs need to be addressed, and market development is important for traditional rice varieties. The study suggests laborsaving techniques and cooperative organizations to support wider adoption of SRI.
Presenter: Ma Jun,
Sichuan Agricultural University
Workshop on the System of Rice Intensification, Exchanging Experience in
China, the Democratic People's Republic of Korea and InternationallyOrganized and
hosted by the China National Rice Research Institute (CNRRI), with support from The
Asia Foundation.
Hangzhou, China, February 28-March 2, 2010
Title: Agroecological Crop Management for Increased Productivity- Experience with Rice and Other Crops
Date: 24 January 2013
Presented by Norman Uphoff at the 6th International Seminar on Agricultural Policies, Instituto Interamericano de Cooperation para la Agricultura (IICA), Santo Domingo, Domincan Republic
Presentation by Chun-E Kan
Title: System of Rice Intensification (SRI) Introduction in Taiwan: Results of Trials, Adapting to Existing Farming Systems and Local Conditions, and Making Links with the Private Sector
Venue: Cornell University
Date: April 16, 2015
Organized by: SRI-Rice, Cornell Univesity
The document discusses rice production in Fiji. It notes that Fiji imports about 33,720 tons of rice per year, costing $19.55 million on average. Between 2005-2007, the government aimed to increase domestic rice production by 7,500 tons to reduce imports. However, rice's contribution to Fiji's GDP has declined from 25% to 12% and self-sufficiency has declined from 65% to 20%. The document evaluates the performance of SRI, ICM and local recommended practices at a research station, finding higher yield with SRI.
Presenter: Zhu Defeng
Slides from a powerpoint presentationmade to a workshop on SRI, held at theWorld Rice Research Conference,Tsukuba, Japan, November 7, 2004
Audience: World Rice Research Conference, Japan
Subject Country: China
System of wheat Intensification: A resource conservation and agro-ecological method of wheat cultivation
Presented by: Ram B. Khadka
Location: Regional Agricultural Research Station,
Khajura, Banke, Nepal
Date: 2013
Title: The System of Rice Intensification (SRI) in the Context of ‘Sustainable Crop Production Intensification’ and Adaptation to Climate Change
Presenter: Norman Uphoff
Presented at the FAO's Asia Regional Office
Date: April 11, 2013
Presented by: Jia-guo Zheng, Xin-lu Jiang, and Zhong-zhi Chi Sichuan Academy of Agricultural Sciences Chengdu, China
Presented at: International Rice Congress. Pre-Congress SRI Day. November 8 2010
The document summarizes 3 years of experience with the System of Rice Intensification (SRI) in Mali from 2007-2009. SRI was first tested on a small scale in 2007 in Timbuktu region, showing a 66% yield increase compared to traditional practices. In 2008, the methodology was expanded to 60 farmers across 12 villages, maintaining a 50-100% yield increase while reducing inputs. In 2009, SRI was scaled up to over 450 farmers across 57 villages in 5 regions of Mali, continuing to demonstrate substantial yield gains of 40-72% with reduced costs. The principles of SRI were also adapted successfully to rainfed and lowland rice systems in Southern Mali.
Poster at the 4th International Rice Congress
Authors: Shigeki Yokoyama and Takeshi Sakurai
Title: Participation and Impact of Rice Cultivation Training: The Case of SRI in Madagascar
Venue: Bangkok International Trade and Exhibition Centre (BITEC), Bangkok, Thailand
Date: October 28-31, 2014
Presentation at the Workshop on Crop Production Equipment for the System of Rice Intensification (SRI)
Presenter: Dr. B. J. Pandian: TNAU, India
Title: Development of SRI Transplanter
Date: November 1, 2014
Venue: ACISAI, Asian Institute of Technology, Thailand
Presenter: S.P. Singh, R.M. Kumar, B. Sreedevi, P. Krishnamurthy, and S.V. Subbaiah
Audience: 2nd National SRI Symposium, Agartala, India
Subject Country: India
Presented by: Rajendra Uprety, Senior Agriculture Development Officer Department of Agriculture Nepal
Presented at: Panel on Climate Change and Rice Agriculture 3rd International Rice Congress, Hanoi, Vietnam
Presented on: 9 November 2010
PowerPoint presented Erika Styger at the First First Workshop on the System of Rice Intensification (SRI) in Latin America at EARTH University in Costa Rica, Oct. 31-Nov. 1, 2011
This document summarizes a survey of rice management practices including SRI, BMP, and CP on acid soils in Prey Veng, Cambodia. The survey found that SRI provided the highest yields and best rice characteristics due to practices like younger seedlings, better water management, and organic fertilizer. However, SRI required more labor and costs. While SRI had lower gross margins when including labor, it provided higher incomes and benefits than BMP and CP. The study concluded that combining rice management techniques is important for yields, but partial adoption may be more suitable for farmers due to resource constraints.
Presenter: M.C. Diwakar, Director, Directorate of Rice Development, Ministry of Agriculture and Cooperation, Patna
Audience: 2nd National SRI Symposium, Agartala, India
Subject Country: India
This document discusses engineering inputs for the System of Rice Intensification (SRI). It provides information on the spread of SRI knowledge and use from 1999 to 2013 across multiple countries in Asia, Africa, and South America. The key components of SRI are described as soil fertility management using FYM, transplanting young seedlings in a wide spacing of 25x25 cm, regular weeding, and keeping the soil wet without flooding. The document also describes the development and testing of gender-friendly rice weeders and markers to help improve the efficiency and ergonomics of SRI practices.
The document summarizes a project conducted in Ifugao province to promote the System of Rice Intensification (SRI) method of rice farming. The project trained 275 farmers and established 110 demonstration farms using SRI techniques. Results showed SRI farms had higher yields, more tillers, panicles, and grains per panicle compared to non-SRI farms. The project was successful in introducing SRI to increase incomes and encourage maintenance of the rice terraces in Ifugao.
Institution: Visayas, Municipal Agriculture Office, and the Agricultural Training Institute as well as the Consultants’ Consortium for SPISP
Subject Country: Philippines
Ram Bahadur Khadka presented research on the System of Rice Intensification (SRI) method at a 2012 agricultural convention in Nepal. Experiments showed that younger (8-day old) seedlings planted at 25cm x 25cm spacing yielded the highest production and economic returns. The research concluded that SRI techniques can maximize rice production and contribute to national food security when adopted by small-holding farmers in Nepal. The national agricultural research system was encouraged to further test and adapt SRI to more of Nepal's climate regions.
This document discusses factors that impact plant growth and yields. It provides examples from trials of new tef production techniques in Ethiopia.
The key points are:
1) Plants respond to their environment, and yields are determined by a plant's genetics interacting with environmental conditions and management practices.
2) Trials of row planting and transplanting tef in Ethiopia led to average yields that were 70% higher than the national average, showing the potential of these new techniques.
3) The highest yielding trials used transplanting combined with fertilizers tailored for tef, achieving maximum yields over 50% higher than average national production levels.
Project Greenback is an initiative to expand affordable remittance services for migrants. It launched in Turin, Italy in 2013 and has since expanded to locations in Europe and plans to launch in Southeast Asia, North America, and Haiti in 2015. The project takes an inclusive approach, working with remittance senders, public authorities, market players, community organizations and academics. It uses various strategies like financial education, market monitoring, migrant-led activities and workshops to promote competition and transparency. Evaluation of the Turin project found users had become more dynamic over time in changing remittance channels and more informed about costs, and more migrants were opening bank accounts.
The document analyzes data from the 2013 Survey on Overseas Filipinos conducted by the Philippine Statistics Authority on the age groups and gender of overseas Filipino workers (OFWs). It finds that the largest segments are male OFWs aged 25-29 and 30-34, numbering over 280,000 each, while the second largest segments are female OFWs aged 25-29 and 30-34, numbering around 180,000-190,000 each. Overall, the data shows that OFWs between the ages of 25-34, both male and female, make up the largest shares of overseas workers from the Philippines.
The document discusses rice production in Fiji. It notes that Fiji imports about 33,720 tons of rice per year, costing $19.55 million on average. Between 2005-2007, the government aimed to increase domestic rice production by 7,500 tons to reduce imports. However, rice's contribution to Fiji's GDP has declined from 25% to 12% and self-sufficiency has declined from 65% to 20%. The document evaluates the performance of SRI, ICM and local recommended practices at a research station, finding higher yield with SRI.
Presenter: Zhu Defeng
Slides from a powerpoint presentationmade to a workshop on SRI, held at theWorld Rice Research Conference,Tsukuba, Japan, November 7, 2004
Audience: World Rice Research Conference, Japan
Subject Country: China
System of wheat Intensification: A resource conservation and agro-ecological method of wheat cultivation
Presented by: Ram B. Khadka
Location: Regional Agricultural Research Station,
Khajura, Banke, Nepal
Date: 2013
Title: The System of Rice Intensification (SRI) in the Context of ‘Sustainable Crop Production Intensification’ and Adaptation to Climate Change
Presenter: Norman Uphoff
Presented at the FAO's Asia Regional Office
Date: April 11, 2013
Presented by: Jia-guo Zheng, Xin-lu Jiang, and Zhong-zhi Chi Sichuan Academy of Agricultural Sciences Chengdu, China
Presented at: International Rice Congress. Pre-Congress SRI Day. November 8 2010
The document summarizes 3 years of experience with the System of Rice Intensification (SRI) in Mali from 2007-2009. SRI was first tested on a small scale in 2007 in Timbuktu region, showing a 66% yield increase compared to traditional practices. In 2008, the methodology was expanded to 60 farmers across 12 villages, maintaining a 50-100% yield increase while reducing inputs. In 2009, SRI was scaled up to over 450 farmers across 57 villages in 5 regions of Mali, continuing to demonstrate substantial yield gains of 40-72% with reduced costs. The principles of SRI were also adapted successfully to rainfed and lowland rice systems in Southern Mali.
Poster at the 4th International Rice Congress
Authors: Shigeki Yokoyama and Takeshi Sakurai
Title: Participation and Impact of Rice Cultivation Training: The Case of SRI in Madagascar
Venue: Bangkok International Trade and Exhibition Centre (BITEC), Bangkok, Thailand
Date: October 28-31, 2014
Presentation at the Workshop on Crop Production Equipment for the System of Rice Intensification (SRI)
Presenter: Dr. B. J. Pandian: TNAU, India
Title: Development of SRI Transplanter
Date: November 1, 2014
Venue: ACISAI, Asian Institute of Technology, Thailand
Presenter: S.P. Singh, R.M. Kumar, B. Sreedevi, P. Krishnamurthy, and S.V. Subbaiah
Audience: 2nd National SRI Symposium, Agartala, India
Subject Country: India
Presented by: Rajendra Uprety, Senior Agriculture Development Officer Department of Agriculture Nepal
Presented at: Panel on Climate Change and Rice Agriculture 3rd International Rice Congress, Hanoi, Vietnam
Presented on: 9 November 2010
PowerPoint presented Erika Styger at the First First Workshop on the System of Rice Intensification (SRI) in Latin America at EARTH University in Costa Rica, Oct. 31-Nov. 1, 2011
This document summarizes a survey of rice management practices including SRI, BMP, and CP on acid soils in Prey Veng, Cambodia. The survey found that SRI provided the highest yields and best rice characteristics due to practices like younger seedlings, better water management, and organic fertilizer. However, SRI required more labor and costs. While SRI had lower gross margins when including labor, it provided higher incomes and benefits than BMP and CP. The study concluded that combining rice management techniques is important for yields, but partial adoption may be more suitable for farmers due to resource constraints.
Presenter: M.C. Diwakar, Director, Directorate of Rice Development, Ministry of Agriculture and Cooperation, Patna
Audience: 2nd National SRI Symposium, Agartala, India
Subject Country: India
This document discusses engineering inputs for the System of Rice Intensification (SRI). It provides information on the spread of SRI knowledge and use from 1999 to 2013 across multiple countries in Asia, Africa, and South America. The key components of SRI are described as soil fertility management using FYM, transplanting young seedlings in a wide spacing of 25x25 cm, regular weeding, and keeping the soil wet without flooding. The document also describes the development and testing of gender-friendly rice weeders and markers to help improve the efficiency and ergonomics of SRI practices.
The document summarizes a project conducted in Ifugao province to promote the System of Rice Intensification (SRI) method of rice farming. The project trained 275 farmers and established 110 demonstration farms using SRI techniques. Results showed SRI farms had higher yields, more tillers, panicles, and grains per panicle compared to non-SRI farms. The project was successful in introducing SRI to increase incomes and encourage maintenance of the rice terraces in Ifugao.
Institution: Visayas, Municipal Agriculture Office, and the Agricultural Training Institute as well as the Consultants’ Consortium for SPISP
Subject Country: Philippines
Ram Bahadur Khadka presented research on the System of Rice Intensification (SRI) method at a 2012 agricultural convention in Nepal. Experiments showed that younger (8-day old) seedlings planted at 25cm x 25cm spacing yielded the highest production and economic returns. The research concluded that SRI techniques can maximize rice production and contribute to national food security when adopted by small-holding farmers in Nepal. The national agricultural research system was encouraged to further test and adapt SRI to more of Nepal's climate regions.
This document discusses factors that impact plant growth and yields. It provides examples from trials of new tef production techniques in Ethiopia.
The key points are:
1) Plants respond to their environment, and yields are determined by a plant's genetics interacting with environmental conditions and management practices.
2) Trials of row planting and transplanting tef in Ethiopia led to average yields that were 70% higher than the national average, showing the potential of these new techniques.
3) The highest yielding trials used transplanting combined with fertilizers tailored for tef, achieving maximum yields over 50% higher than average national production levels.
Project Greenback is an initiative to expand affordable remittance services for migrants. It launched in Turin, Italy in 2013 and has since expanded to locations in Europe and plans to launch in Southeast Asia, North America, and Haiti in 2015. The project takes an inclusive approach, working with remittance senders, public authorities, market players, community organizations and academics. It uses various strategies like financial education, market monitoring, migrant-led activities and workshops to promote competition and transparency. Evaluation of the Turin project found users had become more dynamic over time in changing remittance channels and more informed about costs, and more migrants were opening bank accounts.
The document analyzes data from the 2013 Survey on Overseas Filipinos conducted by the Philippine Statistics Authority on the age groups and gender of overseas Filipino workers (OFWs). It finds that the largest segments are male OFWs aged 25-29 and 30-34, numbering over 280,000 each, while the second largest segments are female OFWs aged 25-29 and 30-34, numbering around 180,000-190,000 each. Overall, the data shows that OFWs between the ages of 25-34, both male and female, make up the largest shares of overseas workers from the Philippines.
Poster at the 4th International Rice Congress
Presenter: Pascal Gbenou, Noukpo Agossou, Marjolein Visser
Title: Farmer Evaluation of the System of Rice Intesification and Conventional Rice Cultivation Methods in Benin
Venue: Bangkok International Trade and Exhibition Centre (BITEC), Bangkok, Thailand
Date: October 28-31, 2014
This document discusses leveraging migration, remittances, and diaspora for financing sustainable development. It notes that remittances total $440 billion globally, with $135 billion going to developing countries in Africa and Venezuela paying exorbitantly high costs of 8-12% and 20% for transfers within Africa. The document outlines monitoring remittance flows, expanding access to financial services for recipients, and developing capital market access for developing countries as areas that could help maximize development impact. It estimates that reducing costs, tapping diaspora savings and bonds, reducing migrant worker fees, and using future remittance flows as collateral could potentially mobilize over $100 billion for development.
The document shows statistics on international migration trends from 1990 to 2050. It includes data on the global number of international migrants from 1990 to 2013, the largest migration corridors in 2013, and the projected change in working age and youth populations from 2015 to 2050.
David Khoudour presented at the 2015 Global Forum on Remittances and Development in Milan, Italy. He discussed how public policies can create an enabling environment for using remittances to finance development. Khoudour categorized public policies into migration policies, migration-related development policies, and non-migration sectoral development policies. Sectoral development policies in areas like financial services, agriculture, education, health, and social protection can influence remittance flows and investment by either complementing or substituting for remittances. Coordinating policies across sectors and better integrating migration into development strategies can improve how remittances support development.
Presenter: M. H. Emadi
Title: SRI in Iran
Date: June 15, 2016
Venue: Cornell University, Ithaca, NY
Sponsor: SRI-Rice, International Programs, CALS, Cornell University
Norman Uphoff presented on improving food production in a water-constrained world through agroecological practices like the System of Rice Intensification (SRI). SRI has led to higher rice yields with less water, fewer inputs, and more resilience to stresses. It has now spread to over 50 countries and is being adapted for other crops. SRI achieves more productive plant phenotypes through improved soil conditions and plant establishment techniques. Trials in several countries found SRI uses 22-35% less water but yields are typically 11-25% higher. SRI also reduces costs, increases profits, and has environmental benefits like less greenhouse gas emissions and groundwater pollution. Uphoff argues SRI shows farmers can meet
Poster Presentation at the 4th International Rice Congress
Presenter: Lucy Fisher
Title: Development of Small-Scale Equipment for the System of Rice Intensification
Venue: BITEC, Bangkok, Thailand
Date: October 27-31, 2014
Poster presentation at the 4th International Rice Congress (2014)
Authors: Kazunobu Toriyama and Shigeki Yokoyama
Title: Water management of yield record holding SRI farmer in Indonesia; a case study and its implications
Venue: BITEC, Bangkok, Thailand
Dates: October 27-41, 2014
Author: Robert Bimba
Title: Community of Hope Agricultural Project - SRI in Liberia
Date: June 15, 2016
Venue: Cornell University, Ithaca, New York
Event Sponsor: SRI-Rice, IP/CALS, Cornell University
Poster presentation at the 4th International Rice Congress
Authors: Ngawang Chhogyel (presenter), Mahesh Ghimiray and Yadunath Bajgai
Title: Application of SRI Principles to Sustainable Rice Production in Bhutan
Venue: Bangkok International Trade and Exhibition Centre (BITEC), Bangkok, Thailand
Date: October 28-31, 2014
Poster at the 4th International Rice Congress
Presenter: Devon Jenkins, Gaoussou Traore, Erika Styger and Minamba Bagayoko
Title: Improving and Scaling Up the System of Rice Intensification in West Africa
Venue: Bangkok International Trade and Exhibition Centre (BITEC), Bangkok, Thailand
Date: October 28-31, 2014
The document discusses the work of FOMIN, a development organization that promotes financial inclusion in Latin America and the Caribbean. FOMIN works to pilot private sector solutions that empower low-income populations through equity investments, loans, and grants. It focuses on areas of finance, markets, and basic services. One of FOMIN's initiatives is a Remittances and Savings Program that funds 10 projects to promote the development of savings products targeted at remittance clients, with the goal of helping 40 million remittance recipients in the region access savings accounts. The program provides technical assistance and up to $500k per project for activities like product design, financial education, and testing new distribution channels for savings accounts.
This document discusses strategies for maximizing the impact of remittances and migration. It recommends strengthening remittance markets through promoting competition, using intermediaries like microfinance institutions and postal services, and innovative models like mobile payments. It also suggests promoting financial inclusion through distribution channels, financial literacy programs, and cross-selling financial products. Finally, it proposes promoting investment of remittances and migrant savings through identifying investment opportunities, developing productive investment models like funds and bonds, and supporting skill development and entrepreneurship.
The document discusses the Bangko Sentral ng Pilipinas (BSP) Economic and Financial Learning Program (BSP-EFLP), which aims to promote understanding of BSP policies through various educational activities, including lectures, discussions, and exhibits. It highlights the BSP-EFLP's Financial Learning Campaign for Overseas Filipinos and their beneficiaries, finding families who save and invest have significantly increased since 2007. The program has reached 80 out of 81 Philippine provinces through over 6,000 events attended by more than 670,000 people, and has also held 15 campaigns in 13 overseas cities with large Filipino populations.
Presenters: Juna Shrestha and Benjamin Huber
Title: Carbon offsetting to sustainably finance the System of Rice Intensification (SRI) in Nepal
Date: October 4, 2016
Venue: Mann Library 160, Cornell University, Ithaca, NY
Sponsors: SRI-Rice, International Programs, CALS, Cornell University
Author: Erika Styger
Title: Scaling Up Climate-smart Rice Production in West Africa
Date: February 11, 2016
Presented at the Issues in African Development Weekly Seminar Series
Venue: Uris Hall, Cornell University
Presented by: Abha Mishra
Title: Farmer Adaptation of the System of Rice Intensification (SRI) in the Lower Mekong Basin Region
Date: October 12, 2015
Venue: Cornell University
Sponsored by: SRI-Rice, Cornell University
International Food Policy Research Institute/ Ethiopia Strategy Support Program (IFPRI/ ESSP)and Ethiopian Development Research Institute (EDRI) Coordinated a conference with Agriculutral Transformation Agency (ATA) and Ministry of Agriculutrue (MoA) on Teff Value Chain at Hilton Hotel Addis Ababa on October 10, 2013.
An economic analysis of teff productivity, efficiency, and supply response in...essp2
International Food Policy Research Institute/ Ethiopia Strategy Support Program (IFPRI/ ESSP)and Ethiopian Development Research Institute (EDRI) Coordinated a conference with Agriculutral Transformation Agency (ATA) and Ministry of Agriculutrue (MoA) on Teff Value Chain at Hilton Hotel Addis Ababa on October 10, 2013.
The Impact of the Promotion of Row Planting on Farmers’ Teff Yield in Ethiopiaessp2
International Food Policy Research Institute (IFPRI) and Ethiopian Development Research Institute (EDRI). Conference on "Towards what works in Rural Development in Ethiopia: Evidence on the Impact of Investments and Policies". December 13, 2013. Hilton Hotel, Addis Ababa.
Agricultural Productivity in Ethiopia - Challenges for Future Growthessp2
1) Agricultural productivity in Ethiopia has grown steadily in recent years, driven mainly by expansion of cultivated area and increases in traditional inputs like labor and livestock. However, growth in use of modern inputs like fertilizer and improved seeds has been slower.
2) Analysis of national and household-level data show total factor productivity has increased, but at varying rates. TFP growth was 3.7% based on national data but declined 2.6% based on household data.
3) There remains significant potential to further increase efficiency and TFP through greater use of modern inputs and improved agricultural practices. However, challenges remain around adoption rates, input availability and affordability.
Sources of Inefficiency and Growth in Agricultual Output in Subsistence Agric...essp2
Ethiopian Development Research Institute (EDRI) and International Food Policy Research Institute (IFPRI, Seventh International Conference on Ethiopian Economy, EEA Conference, June 26, 2010
Agricultural growth in Ethiopia (2004-2014): Evidence and driversessp2
1) Agricultural growth in Ethiopia from 2004-2014 was driven by increases in area cultivated, yields, and adoption of improved technologies like fertilizer and seeds.
2) Key drivers included expanded agricultural extension services, improved connectivity and education, and incentives for adoption of modern inputs.
3) Ethiopia invested heavily in agriculture over the past decade, expanding extension workers and improving informational efficiency, which supported agricultural intensification and modernization.
This document summarizes the results of studies on the System of Rice Intensification (SRI) conducted in several countries. The key findings are:
1) SRI methods have led to increased yields of 50% or more while reducing seed, water, and fertilizer requirements. This results in higher incomes for farmers.
2) Basic SRI practices include using young seedlings, wider spacing of plants, keeping soil moist but not flooded, adding organic matter, and aerating the soil.
3) Evaluations in several countries found that SRI methods increased yields by 40-112%, reduced costs by 11-35%, and decreased water use by 24-60% compared to conventional methods.
Perceptions on the impcat of improved teff technologies by exposed farmersessp2
International Food Policy Research Institute (IFPRI) and Ethiopian Development Research Institute (EDRI) Seminar series. May 27, 2013. ATA Presentation
This document summarizes preliminary results from a pilot project that used DNA fingerprinting to track the diffusion of improved wheat and maize varieties in Ethiopia. The results show that farmer recalls underestimated adoption rates compared to DNA analysis, with adoption of improved varieties being 9.3% for wheat and 47% for maize based on farmer knowledge. DNA fingerprinting identified adoption as 96% for wheat and 64% for maize. The implications are that DNA fingerprinting could more accurately estimate varietal adoption, seed demand, and program impact if scaled up and integrated into national crop surveys and programs.
This document analyzes the technical efficiency of soybean production among smallholder farmers in central Malawi. It finds that farmers achieve only 40% of potential yields due to low efficiency. A study was conducted using a stochastic production frontier model on 300 farmers to assess efficiency levels and its determinants. It finds the average efficiency is 78.9% with some farmers over 80% efficient. Efficiency is influenced by factors like modern seed use, education levels, and extension contacts. The study recommends improving farmers' access to seeds, extension services, and encouraging group activities to enhance efficiency.
Adoption of production technologies and post harvest management in papayaDevegowda S R
1. The document discusses production technologies and post-harvest management of papaya in India. It provides information on leading papaya producing states, varieties recommended for cultivation, production practices like nursery operations, cultivation methods, and pest and disease management.
2. It also discusses post-harvest management practices for papaya like grading, packing, storage, transportation and marketing. It notes that post-harvest losses reduce the supply of fruits and vegetables.
3. Several studies summarized examine technological gaps in papaya cultivation, constraints faced by farmers in adopting improved practices, and problems in production and marketing of papaya. High pest incidence, lack of knowledge about fertilizer use and insecticides, and small landholdings were key
PRECISION FARMING
It is an approach where inputs are utilized in precise amounts to get increased average yields, compared to traditional cultivation techniques. It is also known as precision Agriculture, A science of improving crop yield and assisting management decisions using high technology sensor and analysis tools. It is an approach to farm management that uses information technology (IT).
Agricultural transformation in Africa? Assessing the evidence in Ethiopia essp2
This document summarizes evidence on agricultural transformation in Ethiopia over the past decade. It finds that agricultural output and productivity have grown rapidly, with crop output 127% higher in 2013/14 than 2003/04. Labor and total factor productivity were initially the largest contributors to growth, but modern inputs like fertilizer, improved seeds, and extension services have become increasingly important drivers in recent years, together accounting for over 40% of growth from 2009-2014. The intensification of agriculture was supported by factors like improved agricultural extension, growing connectivity to markets, and rising education levels, which facilitated greater adoption of modern farm technologies and practices.
Returns to fertilizer and program efficiency: Estimation techniques & result...IFPRIMaSSP
This document discusses estimating returns to fertilizer from crop simulation modeling in Malawi. It provides an overview of different data sources and methods used to measure yield response and their reliability. Crop simulation modeling was used to estimate yield responses under smallholder conditions. The modeling found that hybrid maize varieties, early planting, good agronomic practices, and the application of fertilizer can all increase yields and returns. Specifically, the modeling estimated local maize varieties had a yield response of 18 kg of grain per kg of nitrogen applied, while hybrid varieties responded with 22 kg of grain per kg of nitrogen.
Farmers’ uptake of improved feed practices and reasons for adoption/ non adop...ILRI
Presented by Gregory Ndwandwa Sikumba at the CLEANED Project East Africa Stakeholder Consultation on Dairy and Environment Nairobi, Kenya, 18 September 2013
Jianqiang Ren_Simulation of regional winter wheat yield by EPIC model.pptgrssieee
The document describes a study that used a crop growth model combined with remotely sensed leaf area index (LAI) data to simulate regional winter wheat yield in northern China. The study area covered 11 counties. Researchers used the EPIC crop growth model optimized with the SCE-UA algorithm. Remotely sensed MODIS LAI data were input to the model. The model was able to accurately simulate winter wheat sowing dates, plant density, fertilizer application rates, and yields compared to field investigation data, demonstrating the potential of the approach for crop monitoring and yield forecasting.
1) PRADAN staff in Eastern India reported on their experience with System of Rice Intensification (SRI) methods between 2002-2007, working with over 6,200 small-holder farmers.
2) SRI methods including young seedling transplantation, wide spacing, and intermittent irrigation led to average yields of 6-8 tons/hectare, double local conventional yields.
3) Adoption of SRI has been increasing as farmers experience higher yields with lower input costs compared to conventional practices. Over 50% of farmers now choose SRI, especially for medium upland areas.
1) The IFAD-funded CLCA project aims to develop and test innovative integrated crop-livestock conservation agriculture approaches through participatory research with farmers in Algeria, Tunisia, and Tajikistan.
2) Key achievements include collecting over 1,100 farm surveys, conducting on-station and on-farm trials of stubble grazing and fodder production, and testing conservation agriculture technology packages on over 45 farms across the three countries.
3) The project has also enhanced capacity through over 15 training courses attended by 280 trainees, eight field days reaching 357 farmers, and publications including conference papers, films and posters.
Authors: Febri Doni and Rizky Riscahya Pratama Syamsuri
Title: System of Rice Intensification in Indonesia: Research adoption and Opportunities
Presented at: The International Conference on System of Crop Intensification (SCI) for Climate-Smart Livelihood and Nutritional Security
Date: December 12-14, 2022
Venue: ICAR, Hyderabad, India
Author: Bancy Mati
Title: Improving Rice Production and Saving Water in Africa
Presented at: The International Conference on System of Crop Intensification for Climate-Smart Livelihood and Nutritional Security (ICSCI22)
Date: December 12-14 2022
Venue: ICAR, Hyderabad, India
Author: Lucy Fisher
Title: Overview of the System of Rice Intensification SRI Around the World
Presented at: The International Conference on The System of Crop Intensification (ICSCI22)
Date: December 12, 2022
This document summarizes research on using System of Rice Intensification (SRI) methods in Iraq to increase water savings and rice yields. The research found that using SRI with 3-day or 7-day intervals between irrigation used 50% and 72% less water than continuous submergence, and increased yields by 20% and 11% respectively. SRI with 3-day intervals also had the highest water productivity and net economic return, making it a promising strategy for Iraq's water-deficit conditions. The document recommends wider adoption of SRI through incentives, mechanization support, and collaboration with water user associations.
(Partial slideset related to the System of Rice Intensification (SRI)
Presentation at COP26, Glasgow, Scotland
Date: November 2021
Presentation by: Ministereo Desarrollo Agropecuario, Panama
This is a presentation about the SRI activities of the LINKS program, Catalysing Economic Growth for Northern Nigeria, which is implemented by Tetra Tech International Development
Author: Tetra Tech International Development
Title: Reduced Methane Emissions Rice Production Project in Northern Nigerian with System of Rice Intensification (SRI)
Date: October 25, 2021
Author: Reinaldo Cardona
Instituto de Investigaciones Agrícolas del estado Portuguesa: UNEFA-Núcleo Portuguesa Universidad Nacional Experimental Politécnica de la Fuerza Armada
Date: 2017
Title: Sistema Intensivo del Cultivo del Arroz para la Producción y Sustentabilidad del Rubro
Willem A. Stoop presents on ecological intensification lessons learned from the System of Rice Intensification (SRI). He discusses two approaches to intensification - conventional using modern varieties, dense planting, irrigation, and chemicals, and ecological using local varieties, low seeding rates, and organic inputs. SRI is presented as an example of an agro-ecological approach using practices like young seedlings, wide spacing, and alternate wetting and drying of soils. SRI results in increased growth, yields, and resilience through enhanced root and soil biology. However, SRI challenges conventional agricultural sciences' focus on increasing planting densities and fertilizer use over soil health and plant spacing.
Speaker: Norman Uphoff
Title: Agroecological Opportunities with the System of Rice Intensification (SRI) and the System of Crop Intensification (SCI)
Date: June 25, 2021
Venue: online, presented in the International Webinar Series on Agroecology and Community Series
Speaker: Khidhir Abbas Hameed,
Al Mishkhab Rice Research Station
Title: System of Rice Intensification SRI
Date: December 9, 2020
Organizer: Central and West Asian Rice Center (CWA Rice)
Venue: online
Author/Presenter: Karla Cordero Lara
Title: Towards a More Sustainable Rice Crop: System of Rice Intensification (SRI) Experience in Chilean Temperate Japonica Rice
Date: November 29-30, 2018
Presented at: The Third International Symposium on Rice Science in Global Health
Venue: Kyoto, Japan
Title: Proyecto IICA - MIDA/ Sistema Intensivo de Arroz (SRI) Evaluación del primer ensayo de validación realizado en coclé para enfrentar al Cambio Climático (alternativa) Localizada en el Sistema de Riego El Caño. Diciembre /2018 - Abril/ 2019 - Octubre/ 2019
Author: Norman Uphoff
Title: Agroecological Management of Soil Systems for Food, Water, Climate Resilience, and Biodiversity
Date: December 6, 2019
Presented at: The Knowledge Dialogue on the Occasion of World Soil Day
Venue: United Nations, New York
Title: Smallholder Rice Production Practice and Equipment: What about the Women?
Presenter: Lucy Fisher
Venue: 2nd Global Sustainable Rice Conference and Exhibition
United Nations Conference Centre, Bangkok Thailand
Date: October 2, 2019
1. African farmers today are more educated, connected, market-oriented, and aware of issues like climate change than previous generations. They are also more open to new ideas and collective action approaches.
2. Efforts to improve agriculture must consider rural-to-urban migration trends in Africa. While migration is driven by rural challenges, the younger generation remaining in rural areas is more educated and eager for progressive agriculture.
3. Things that should be avoided include mechanization tied to large-scale capital-intensive operations, land grabs, and agricultural models that turn farmers into laborers with no opportunity for management roles. Monoculture and large-scale foreign-owned farming should also be avoided.
Authors: Christopher B. Barrett, Asad Islam, Abdul Malek, Deb Pakrashi, Ummul Ruthbah
Title: The Effects of Exposure Intensity on Technology Adoption and Gains: Experimental Evidence from Bangladesh on the System of Rice Intensification
Date: July 21, 2019
Presented at: USDA Multi-state Research Project NC-1034 annual research conference on
The Economics of Agricultural Technology & Innovation
Location: Atlanta, GA
More from SRI-Rice, Dept. of Global Development, CALS, Cornell University (20)
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
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TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
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Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
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CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
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Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
1327 - FTCs and Farmer Tef Demonstration and Results 2012
1. 2012 FTCs and farmers tef technology
demonstration
Overview of results
May 2013
2. Agenda
A. Overview of results at federal level
B. Breakdown of results by region
C. Supplemental analyses
1
3. 2
Newly-scaled up tef technologies, particularly row planting and transplanting, demonstrate
yield improvements, with an average yield increase of ~70% over the national average
Average yield by planting method
Quintals/hectare • Data was collected from
~15,800 validating farmers
(and some control farmer
groups) to determine the
results of new tef
technologies
• For the 14,605 farmers,
average yields for row
planting and transplanting
increased 70% from
national average (20.9
versus 12.6 qtls/ha)
• As the chart shows, there
is still much work to be
done in properly managing
transplanting to realize
potential yield gains
17
12
16
21222122
18
20
2323
Amhara
n = 4,637
SNNP
n = 3,480
Oromia
n = 6,002
Tigray
n = 486
N/A
Broadcasting
Row planting
Transplanting
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Note: Includes data from 14,605 farmers (omitted error/outlier data from 15,790 total collected)
4. 3
Distribution of yield data shows that 30% of all validating farmers surveyed experienced
yield increase between 20 and 80% over the national average
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Note: Includes data from 14,605 farmers (omitted error/outlier data from 15,790 total collected)
Distribution of Validating Farmers’ yields
Frequency of yield increase (as % of total data set)
4
7
6
8
10
8
13
11
7
150 -
200%
125 -
150%
Over
200%
100 -
125%
80 -
100%
60 - 80%40 - 60%20 - 40%10 - 20%Less than
10%
27
~30% of farmers saw a
20 – 80% yield increase
Farmers who broadcasted, used high seed
rates, or may have experienced challenges
with new technologies
~20% of farmers saw a 100 –
200% yield increase (~60% of
this group row planted)
5. 4
Top-performing woredas across the four regions have demonstrated success in adopting
the new technologies, reaching maximum yields higher than a 400% yield increase
Average and maximum yields for row planting and transplanting farmers
Quintal/hectare
36
36
35
35
35
35
33
33
32
31H/Abote 53
Tahaty-
Maichew
56
47
Lume 68
Maraka
Kuxha
68
65
Alefa 42
Dabat
Enebsie
Sar Midir
58
Chilga 53
67
Libo Kemkem
AMHARA
SNNP
OROMIA
SNNP
TIGRAY
OROMIA
68 quintals/hectare
versus the national
average of 12.5
quintals/hectare
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Note: Includes data from 14,605 farmers (omitted error/outlier data from 15,790 total collected)
6. 5
Data indicates that validating farmers’ seed rate usage varies by planting method, with the
highest rates used in broadcasting to the least amount of seed used in transplanting
Average seed rate and yields by planting type across regions
Yield (quintal/hectare), Seed rate (kg/hectare)
4
1011
30
2222
15
13
25
20
15
10
5
0
30
25
20
15
10
5
0
TransplantingRow plantingBroadcastingNational
average
• While this does not imply causation, there appears to be an inverse relationship between planting type and seed
rate practices of the validating farmers
• Overall, the average seed rate has dropped significantly from traditional practices of 30-50 kg/ha to an average
of 8.8 kg/ha across all planting types (includes broadcasting farmers as well)
• Use of Quncho variety appears to be on the rise, with 92% of validating farmers choosing it over other options
(local varieties, Cross-37, Yedega, etc.)
Seed rate
Avg yield
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Note: Includes data from 14,605 farmers (omitted error/outlier data from 15,790 total collected)
7. 6
Fertilizer application rates appear to match recommendations for DAP (average application
rate of 99.5 kg/ha), yet fall slightly below recommendations on Urea (88.4 kg/ha)
Average DAP and Urea application rates by region
Kg/hectare
Key takeaways on DAP and Urea
utilization by farmers:
• Urea use is highly variable,
much more than DAP: the
standard deviation for Urea is
24.6 kg/hectare versus 3.8 for
DAP, indicating the that farmer
use of DAP is more consistent
• Application rates are fairly
agnostic of planting method:
for each planting method, the
average application rates
remain similar
9910099
91
868890
Amhara
n = 4,037
SNNP
n = 3,051
Oromia
n = 4,943
Tigray
n = 304
N/A
DAP
Urea
4.1 21.9 4.4 25.4 1.3 26.5 6.5 21.5
X Standard deviation
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Note: Includes data from 12,335 farmers (omitted error/outlier fertilizer data from 15,790 total collected)
8. 7
A high-level view of planting time indicates that most farmers observed ‘traditional’
planting times, though farmers that planted earlier saw significant yield increases
69616261626272
86
66
8089
0
50
100
June
Week 2
Sept
Week 1
July
Week 4
August
Week 1
August
Week 2
August
Week 3
August
Week 4
59
July
Week 3
July
Week 2
July
Week 1
June
Week 4
June
Week 3
Average productivity increase by planting time
% productivity increase (compared to national average)
0.3%0.1% 2%0.8% 16%5% 19%24% 4%7% 1%4%
Percentof
farmers
Key takeaways
Planting time of validating farmers followed
standard practices, with ~60% of farmers
planting in mid-July to early August
Though a small sample size, there seems to be a
strong productivity increase for farmers who
planted earlier, in the 3 and 4th weeks of June
Standard
planting
period
Next steps for exploration
Early planting time, when is coincides with
rainfall, is a topic to be further explored with
farmers and on FTC plots
EIAR and RARIs, with support from ATA, will
conduct formal research projects to determine
the impact of planting 2, 3 or 4 weeks early
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Note: Includes data from 12,335 farmers (omitted error/outlier data from 15,790 total collected)
Largely driven by
transplanting
9. 8
20.1
18.3
15.5
8.4
12.6
+60%
Average yields by experimental plot across regions
Quintal/hectare
X.X Standard
deviation
Avg yield qt/ha
Planting type
National
Average for
2012
Broadcast
by hand
Broadcast
by machine
Row plant Transplant
Seed rate (kg/ha) 30-50 5-10 5-10 0.5-0.7
Fertilizer type none DAP +
Urea
DAP +
Urea
DAP +
Urea
Seed type Local Quncho Quncho Quncho
8.16.9 9.4 11.4
In ~1,100 FTC trials, it can be observed that factors such as reduced seed rate, planting in
rows, and use of DAP and Urea can each contribute to increasing yields
• Findings indicate that
significant yield
improvement results
from new technologies
such as row planting,
transplanting, and
reduced seed rate
• Across the 1,100 FTCs,
yields were recorded for
each experimental plot
that was designed to
test either planting
method, seed rate, seed
variety, or fertilizer use
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013); CSA 2012
10. 9
20.1
18.3
15.514.9
13.9
12.012.6
+4%+7%
+18%
+10%
+16%
Average yields by experimental plot across regions
Quintal/hectare
Planting
type
National
Average for
2012
Broadcast by
hand
Broadcast by
hand
Broadcast by
hand
Broadcast by
machine
Row plant Transplant
Seed rate
(kg/ha)
30-50 30-50 5-10 5-10 5-10 0.5-0.7
Fertilizer
type
DAP + Urea DAP +
Urea
DAP +
Urea
DAP +
Urea
DAP +
Urea
DAP +
Urea
Seed type Local Quncho Quncho Quncho Quncho Quncho
Taking a closer look at each variable, it appears that switching to Quncho and row planting
are the largest drivers of productivity increase
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013); CSA 2012
11. Agenda
A. Overview of results at federal level
B. Breakdown of results by region
C. Supplemental analyses
10
12. 11
AMHARA: overview of data collected
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Farmer data overview
Average yield 20.47
Standard deviation 9.65
Average productivity increase 62%
Count of farmers Raw Cleaned
Farmers 4,958 4,637
Gender split
Male 4,373 95%
Female 685 4%
Geographic scope within region
(as reported)
Count of zones 10
Count of woredas 85
31%
Broadcasting (machine)
1%
Broadcasting
(hand)
Transplanting
Row planting48%
19%
Distribution of planting type
% of total farmers (from raw data)
13. 12
AMHARA: input use, yields achieved, and planting time
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Inputs use of Validating Farmers
Planting time of Validating Farmers
Highest-producing woredas (based on Validating Farmers)
Average input use by planting method
Kg/hectare
10
88
9994
9
99 96100
2
Row planting
n = 2,238
Broadcasting
n = 1,446
Transplanting
n = 889
Seed
DAP
Urea
Average and maximum farmer yields
Kg/hectare (average and max by woreda)
36
35
32
31
30
Enebsie Sar midir 58
Alefa
Dabat 67
Libo Kemkem 68
53Chilga
42
Average
Max
Average yield based on planting time
% productivity increase (compared to national average)
68
194136455671947285105104
100
August
Week 3
200
0
Sept
Week 1
August
Week 4
August
Week 2
August
Week 1
July
Week 4
July
Week 3
July
Week 2
July
Week 1
June
Week 4
June
Week 3
June
Week 2
14. 13
18.0
16.3
14.5
8.0
12.6
+124%
Average yields by experimental plots across Amhara FTCs
Quintal/hectare
X.X Standard
deviation
Avg yield qt/ha
Planting type
National
Average for
2012
Broadcast
by hand
Broadcast
by machine
Row plant Transplant
Seed rate (kg/ha) 30-40 5-10 5-10 0.5-0.7
Fertilizer type none DAP +
Urea
DAP +
Urea
DAP +
Urea
Seed type Local Quncho Quncho Quncho
8.15.0 8.9 10.4
AMHARA: FTC demonstration plot results
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013); CSA 2012
15. 14
OROMIA: overview of data collected
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Farmer data overview
Average yield 21.26
Standard deviation 8.56
Average productivity increase 69%
Count of farmers and FTCs Raw Cleaned
Farmers 6,515 6,002
Gender split
Male 6,198 95%
Female 292 5%
Geographic scope within region
(as reported)
Count of zones N/A
Count of woredas 48
15%
Broadcasting
57%
Transplanting
Row planting
16%
Distribution of planting type
% of total farmers (from raw data)
16. 15
OROMIA: input use, yields achieved, and planting time
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Inputs use of Validating Farmers
Planting time of Validating Farmers
Highest-producing woredas (based on Validating Farmers)
Average input use by planting method
Kg/hectare
4810
1009999
859085
Transplanting
n = 889
Row planting
n = 2,238
Broadcasting
n = 1,446
Urea
DAP
Seed
Average and maximum farmer yields
Kg/hectare (average and max by woreda)
32
30
30
28
26Dawoo 38
A/Nagale 65
Gimbichuu 61
H/Abote 53
Lume 68
Average
Max
Average yield based on planting time
% productivity increase (compared to national average)
92
626164676772
90
6675
51
2050
August
Week 3
August
Week 2
August
Week 1
July
Week 4
July
Week 3
July
Week 2
100
0
Sept
Week 1
August
Week 4
July
Week 1
June
Week 4
June
Week 3
June
Week 2
17. 16
20.1
18.1
15.2
8.1
12.6
+148%
Average yields by experimental plots across Oromia FTCs
Quintal/hectare
X.X Standard
deviation
Avg yield qt/ha
Planting type
National
Average for
2012
Broadcast
by hand
Broadcast
by machine
Row plant Transplant
Seed rate (kg/ha) 30-40 5-10 5-10 0.5-0.7
Fertilizer type none DAP +
Urea
DAP +
Urea
DAP +
Urea
Seed type Local Quncho Quncho Quncho
8.46.4 9.5 11.1
OROMIA: FTC demonstration plot results
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013); CSA 2012
18. 17
SNNP: overview of data collected
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Farmer data overview
Average yield 20.72
Standard deviation 9.06
Average productivity increase 64%
Count of farmers and FTCs Raw Cleaned
Farmers 3,766 3,480
Gender split
Male 3,061 81%
Female 124 3%
Geographic scope within region
(as reported)
Count of zones N/A
Count of woredas 38
11%
65%
Row planting
1%
Broadcasting
(hand) Broadcasting (machine)
13%
Transplanting
Distribution of planting type
% of total farmers (from raw data)
19. 18
SNNP: input use, yields achieved, and planting time
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Inputs use of Validating Farmers
Planting time of Validating Farmers
Highest-producing woredas (based on Validating Farmers)
Average input use by planting method
Kg/hectare
41211
100100100
838783
Transplanting
n = 889
Row planting
n = 2,238
Broadcasting
n = 1,446
Urea
DAP
Seed
Average and maximum farmer yields
Kg/hectare (average and max by woreda)
33
33
27
27
27Bona Zuria 33
Maraka 47
Gombera 30
Kuxha 70
Dalocha 69
Average
Max
Average yield based on planting time
% productivity increase (compared to national average)
686367666972725234
178
-37
144
-200
200
0
Sept
Week 1
August
Week 4
August
Week 3
August
Week 2
August
Week 1
July
Week 4
July
Week 3
July
Week 2
July
Week 1
June
Week 4
June
Week 3
June
Week 2
June planting consists of only 5 farmers
20. 19
22.7
21.0
17.0
8.2
12.6
+177%
Average yields by experimental plots across SNNP FTCs
Quintal/hectare
X.X Standard
deviation
Avg yield qt/ha
Planting type
National
Average for
2012
Broadcast
by hand
Broadcast
by machine
Row plant Transplant
Seed rate (kg/ha) 30-40 5-10 5-10 0.5-0.7
Fertilizer type none DAP +
Urea
DAP +
Urea
DAP +
Urea
Seed type Local Quncho Quncho Quncho
7.27.8 8.9 12.5
SNNP: FTC demonstration plot results
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013); CSA 2012
21. 20
TIGRAY: overview of data collected
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Farmer data overview
Average yield 20.55
Standard deviation 9.09
Average productivity increase 63%
Count of farmers and FTCs Raw Cleaned
Farmers 551 486
Gender split
Male 410 74%
Female 54 10%
Geographic scope within region
(as reported)
Count of zones N/A
Count of woredas 11
4%
62%
Row planting
5%
Transplanting 4%
Broadcasting
(hand) Broadcasting (machine)
Distribution of planting type
% of total farmers (from raw data)
22. 21
TIGRAY: input use, yields achieved, and planting time
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Inputs use of Validating Farmers
Planting time of Validating Farmers
Highest-producing woredas (based on Validating Farmers)
Average input use by planting method
Kg/hectare
7813
10098100 9192100
Transplanting
n = 889
Row planting
n = 2,238
Broadcasting
n = 1,446
Urea
DAP
Seed
Average and maximum farmer yields
Kg/hectare (average and max by woreda)
32
30
30
28
26Tahtay Koraro 38
Weri-Leke 65
Medebay Zana 61
Adwa 53
Tahaty- Maichew 68
Average
Max
Average yield based on planting time
% productivity increase (compared to national average)
36
7449
-25
29100
0
Sept
Week 1
August
Week 4
August
Week 3
-100
August
Week 2
August
Week 1
July
Week 4
July
Week 3
July
Week 2
July
Week 1
75
June
Week 4
-17
June
Week 3
67
June
Week 2
76
36N/A N/A
Includes only 2
farmers
Includes only 2
farmers
23. 22
18.918.7
16.5
11.812.6
+60%
Average yields by experimental plots across Tigray FTCs
Quintal/hectare
X.X Standard
deviation
Avg yield qt/ha
Planting type
National
Average for
2012
Broadcast
by hand
Broadcast
by machine
Row plant Transplant
Seed rate (kg/ha) 30-40 5-10 5-10 0.5-0.7
Fertilizer type none DAP +
Urea
DAP +
Urea
DAP +
Urea
Seed type Local Quncho Quncho Quncho
9.511.0 10.5 11.8
TIGRAY: FTC demonstration plot results
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013); CSA 2012
24. Takeaways from 2012 farmer and FTC data analysis that should inform ATA and RBoA
planning and execution for 2013 and 2013 tef planting seasons
23
Takeaways to inform 2013 and 2014 intervention planning and execution
• The benefits of optimal fertilizer application rates should be better
disseminated to farmers via trainings and materials, particularly for Urea
• More intensive training on transplanting management practices should be
provided to farmers given the volatility in yields observed in 2012
• FTCs should be encouraged to conduct demonstrations to test for specific
variables’ impact on yield (e.g., planting 2-3 weeks earlier, reduced seed
rates of 5/10/15/ kg per ha, pelleted Urea)
• FTC yields indicate significant yield increases due to use of Quncho with
90% of farmers in these trials using Quncho; should explore further
support for Quncho while also considering other improved varieties
25. 24
Includes 15,790 validating
farmers’ data
8% of data was omitted as
inaccurate or incomplete
45% (33% + 12%) of
validating farmers’ yields
were between 20 and 40
quintals per hectare
Overview of data collected: yield distribution for 15,790 validating farmers and 1,107 FTCs
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
40 to 60
40
0
20
1%
60+
3%
30 to 40
12%
20 to 30
33%
10 to 20
40%
Less than 10
8%
Distribution of Validating Farmers’ yields
Frequency of yield increase (as % of total data set)
Covers 1,107 FTCs with an
average of 9.6 experimental
data plots per FTC
4% of the data was omitted
as inaccurate or incomplete
Distribution of yields is
wider given trials included
many variables
40
20
0
40+
2%
30 to 40
7%
20 to 30
20%
10 to 20
38%
5 to 10
18%
Less than 5
11%
Distribution of FTC yield per experimental plot
Frequency of yield increase (as % of total data set)
Quintals / hectare
Quintals / hectare
26. 25
Overview of data collected: basics
Source: 2012 Data from Regional, Zonal and Woreda administration staff (collected Feb-April 2013)
Farmer data overview
average yield 20.86
std dev 12.38
bell curve upper bound 58.00
average productivity increase 66%
Count of farmers
Amhara 4,958 31%
Oromia 6,515 41%
SNNP 3,766 24%
Tigray 551 3%
Total farmers 15,790
Gender split
Male 14346 95%
Female 685 5%
20%
1%
17% 61%
Broadcasting (machine)
Row plantingTransplanting
Broadcasting (hand)
Distribution of planting type
% of total farmers