The document discusses a study on the effect of different planting times on the growth and yield of wheat. Three planting dates were evaluated: November 19th (S1), November 29th (S2), and December 9th (S3). S1 and S2 generally performed better than S3 across various growth and yield metrics. S1 produced the tallest plants, most tillers, highest dry matter content, and maximum crop growth and relative growth rates. S1 also resulted in the highest numbers of spikes, spikelets, and filled grains per spike. S1 led to the highest grain, straw, and biological yields. Earlier planting times in November provided more favorable growing conditions and resulted in better wheat growth and yields compared to
Cotton Sown in Different Row Distances after Wheat Harvest: Seed Cotton Yield...Agriculture Journal IJOEAR
Abstract— This study was conducted to determine seed cotton yield and yield components of some cotton varieties sown in different row distances after wheat harvest in Kahramanmaras conditions. Eleven cotton varieties (Albania-6172, Aktas-3, Beli Izvor-432, Azerbaycan-3038, Delta Opal, ST-468, DP-388, DP-5111, Golden West, ST-453 and Maras-92) and two different row distances (conventional row: 70x20 cm, narrow row: 35x20 cm) were used in the study. The experiment was designed as a split-plot with three replication in which sowing densities were the main plots and cotton cultivars were sub plots. In the study first harvest seed cotton ratio (FHSR), plant height (PH), number of fruit branches per plant (NFBP), number of bolls per plant (NBP), seed cotton weight per boll (SWB), ginning turn out (GTO) and seed cotton yield (SCY) were investigated. As a result of variance analyses, FHSR, PH, NFBP and SCY were affected by row distances. All the investigated characteristics except SWB were significantly affected by cultivar and interaction effects for FHSR, PH, NFBP and SCY were observed. In addition, the highest SCY was obtained from cultivar of Aktas-3 (2200 kg ha-1) in narrow row distance and it was followed by cotton cultivars of ST-468 and DP-388.
The HortFlora Research Spectrum (HRS), is an international-peer reviewed, open access journal that serves as a forum for the exchange and dissemination of R & D advances and innovations in all facets of Horticultural Science (Pomology, Olericulture, Floriculture, Post Harvest Technology, Plant Biotechnology, and Medicinal & Aromatic Plants etc.) and its allied branches on an international level.
HRS is officially published quarterly (March, June, September and December) every year, in English (print & online version), under the keen auspices of Biosciences & Agriculture Advancement Society (BAAS), Meerut (India).
Aims & Scope
The main objective of the journal ‘HortFlora Research Spectrum’ is to serve as a platform to promote, publish and disseminate the R & D innovations and advances in all aspects of Horticultural Sciences and allied branches of botanical sciences & technology, and to facilitate closer interaction among the academicians, researchers and entrepreneurs at global scale.
The journal HortFlora Research Spectrum (HRS), having International impact (ICV: 27.39; GIF: 0.364), publishes high quality peer reviewed/refereed original research papers, review articles and research notes on all aspects of Horticultural plants’ research including agronomic management, plant nutrition, biotechnology, crop improvement, plant protection, plant physiology, cell & molecular biology, medicinal & aromatic plants, food & nutrition science, agroforestry, environmental science, plant medicinal properties, ethno-phytomedicine, technology dissemination etc.
The Journal isIndexed/Abstracted in:
• Index Copernicus International, Poland with ICV: 27.39 • Ministry of Science & Higher Education, Poland with 02 points • Global Impact Factor with GIF 0.364• Indian Science Abstracts • CAB Abstracts • CABI Full text • CAB direct • ICRISAT-infoSAT • Google Scholar• CiteFactor • InfoBase Index • ResearchBib • AgBiotech Net • Horticultural Science Abstracts • Forestry & Agroforestry Abstracts• Agric. Engg. Abstracts • Crop Physiology Abstracts • PGRs Abstracts • ResearchGate.net • getCited.com • Reference Repository • EBSCO host •OAJI.net • Journal Index.net• University of Washington Library • University of Ottawa Library • Swedish University of Agric. Sci. Library, Stockholm, Sweden; Univ. of Prince Edward, Island.
Call for Papers
We would like to invite to the researchers/subject experts to contribute original research/review paper for peer-review and the earliest possible publication in the HortFlora Research Spectrum. HRS publishes high-quality solicited and unsolicited articles, in English, in all areas of horticultural sciences. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Manuscript/paper may be submitted online as MS word attachment to the editorial office via e-mail to: submit.hortflorajournal2013@
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Cotton Sown in Different Row Distances after Wheat Harvest: Seed Cotton Yield...Agriculture Journal IJOEAR
Abstract— This study was conducted to determine seed cotton yield and yield components of some cotton varieties sown in different row distances after wheat harvest in Kahramanmaras conditions. Eleven cotton varieties (Albania-6172, Aktas-3, Beli Izvor-432, Azerbaycan-3038, Delta Opal, ST-468, DP-388, DP-5111, Golden West, ST-453 and Maras-92) and two different row distances (conventional row: 70x20 cm, narrow row: 35x20 cm) were used in the study. The experiment was designed as a split-plot with three replication in which sowing densities were the main plots and cotton cultivars were sub plots. In the study first harvest seed cotton ratio (FHSR), plant height (PH), number of fruit branches per plant (NFBP), number of bolls per plant (NBP), seed cotton weight per boll (SWB), ginning turn out (GTO) and seed cotton yield (SCY) were investigated. As a result of variance analyses, FHSR, PH, NFBP and SCY were affected by row distances. All the investigated characteristics except SWB were significantly affected by cultivar and interaction effects for FHSR, PH, NFBP and SCY were observed. In addition, the highest SCY was obtained from cultivar of Aktas-3 (2200 kg ha-1) in narrow row distance and it was followed by cotton cultivars of ST-468 and DP-388.
The HortFlora Research Spectrum (HRS), is an international-peer reviewed, open access journal that serves as a forum for the exchange and dissemination of R & D advances and innovations in all facets of Horticultural Science (Pomology, Olericulture, Floriculture, Post Harvest Technology, Plant Biotechnology, and Medicinal & Aromatic Plants etc.) and its allied branches on an international level.
HRS is officially published quarterly (March, June, September and December) every year, in English (print & online version), under the keen auspices of Biosciences & Agriculture Advancement Society (BAAS), Meerut (India).
Aims & Scope
The main objective of the journal ‘HortFlora Research Spectrum’ is to serve as a platform to promote, publish and disseminate the R & D innovations and advances in all aspects of Horticultural Sciences and allied branches of botanical sciences & technology, and to facilitate closer interaction among the academicians, researchers and entrepreneurs at global scale.
The journal HortFlora Research Spectrum (HRS), having International impact (ICV: 27.39; GIF: 0.364), publishes high quality peer reviewed/refereed original research papers, review articles and research notes on all aspects of Horticultural plants’ research including agronomic management, plant nutrition, biotechnology, crop improvement, plant protection, plant physiology, cell & molecular biology, medicinal & aromatic plants, food & nutrition science, agroforestry, environmental science, plant medicinal properties, ethno-phytomedicine, technology dissemination etc.
The Journal isIndexed/Abstracted in:
• Index Copernicus International, Poland with ICV: 27.39 • Ministry of Science & Higher Education, Poland with 02 points • Global Impact Factor with GIF 0.364• Indian Science Abstracts • CAB Abstracts • CABI Full text • CAB direct • ICRISAT-infoSAT • Google Scholar• CiteFactor • InfoBase Index • ResearchBib • AgBiotech Net • Horticultural Science Abstracts • Forestry & Agroforestry Abstracts• Agric. Engg. Abstracts • Crop Physiology Abstracts • PGRs Abstracts • ResearchGate.net • getCited.com • Reference Repository • EBSCO host •OAJI.net • Journal Index.net• University of Washington Library • University of Ottawa Library • Swedish University of Agric. Sci. Library, Stockholm, Sweden; Univ. of Prince Edward, Island.
Call for Papers
We would like to invite to the researchers/subject experts to contribute original research/review paper for peer-review and the earliest possible publication in the HortFlora Research Spectrum. HRS publishes high-quality solicited and unsolicited articles, in English, in all areas of horticultural sciences. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Manuscript/paper may be submitted online as MS word attachment to the editorial office via e-mail to: submit.hortflorajournal2013@
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Production arrowroot depending on the size of the rhizome and substrate in Ca...Agriculture Journal IJOEAR
Abstract— The arrowroot starch is much appreciated in the preparation of desserts, breads, cookies and cakes. However the production of starch by the commercial varieties is still made in an amateur way without proper management. The experiment was conducted in a randomized block design in factorial 3 (rhizomes sizes) x 2 (substrates). The three rhizome sizes arrowroot, were classified as small (≤ 15.0 g), medium (≥ 15.01 and ≤ 30.0) and big (≥ 30.01 g) according to their weights. We evaluated: height collect from the region to the apex of the leaf, stem diameter at the collar region survival percentage of rhizomes, shoot dry weight, root dry mass, average number of seedlings per rhizome and calculated the index quality seedlings Dickson. There were no differences in the interaction between plants x substrate. However the size of rhizomes influenced the quality of the seedlings, and the big (≥ 30.01 g) rhizomes was what produced seedlings with the best quality.
This trial was conducted for two consecutive Kharif seasons of 2011 and 2012 to compare two interspecific
hybrids of sorghum and Sudan grass, namely Mabrook and Panar 888 with two local checks Abu Sabein
and Abu Sabein Kambal. Cultivars were sown in a randomized complete block design with four replicates.
Data were collected on plant height, number of leaves per plant, leaf area, stem diameter, number of days
to 50 % flowering, plant density, fresh weight, and dry weight. Plant height, leaf area, number of leaves
per plant, plant density, fresh weight, and dry weight showed highly significant differences (P = 0.01)
among the four cultivars while stem diameter showed significant differences (P = 0.05). Number of days
to 50% flowering showed insignificant differences among the four cultivars. Mabrook exceeded all the
other cultivars in plant height, fresh weight, and dry weight. Mabrook and Abu Sabein Kambal exceeded
the others in leaf number, leaf area, and plant density.
Effects of nitrogen fertilizer rates on yield and yield components of sesame ...Premier Publishers
The productivity of sesame crop is low due to poor agronomic practice and inappropriate use of fertilizers in Gode district. Therefore, a field experiment was conducted under irrigation in the demonstration farm of Gode Polytechnic College, in 2014. The objective was to observe the effect of five N rates (0, 23, 46, 69 and 92kg ha-1) and three sesame varieties (Adi, Barsan and Mehado-80) on yield and yield components of sesame (Sesamumindicum L.). The experiment was designed according to randomized complete blocks in factorial arrangement with three replications. Results of the analysis revealed that the interaction effects of N rates and sesame varieties were highly significant (P<0.01) in relation to number of capsules per plant-1, thousand seed weight, aerial dry biomass weight, seed yield and harvest index. Barsan variety at 46 kg N ha-1 had significantly higher number of capsules plant-1 (46.07) and seed yield (2.08 t ha-1) and harvest index (0.24) than other interactions. Similar trend was observed in 1000 seed weight also except there was no significant difference with Mehado-80 variety at 69 kg N ha-1. Mehado-80 variety at 92 kg N ha-1 had highest aerial dry biomass yield which was statistically at par with Adi at 92 kg N ha-1 and Barsan from 46 to 92 kg N ha-1.Thus, according to the results of partial budget analysis, application of 46kg N ha-1 in Barsan variety was the best interaction than others in relation to yield and yield components of sesame under Gode conditions.
Influence of Various Intercrops on Pod Borers in Black Gramijtsrd
The aim of this study was to observe the influence of various intercrops on pod borers in black gram under rain fed condition. Among the different intercrops studied, marigold recorded the lowest mean population of spotted pod borer (0.74 larvaplant) and gram blue butterfly larva (0.88 larvaplant)and natural enemies like Coccinellids (2.68 beetlesplant) and spider population (1.73 spiderplant) was maximum in black gram intercropped with maize. The maximum equivalent yield was obtained from black gram intercropped with marigold (6.04 qha) followed by black gram intercropped with maize (5.24 qha).In conclusion marigold proved to be effective intercrop to control major pod borer and also enhance the population of natural enemies. Selvam. K | Dr. D. S. Rajavel"Influence of Various Intercrops on Pod Borers in Black Gram" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd15908.pdf http://www.ijtsrd.com/other-scientific-research-area/enviormental-science/15908/influence-of-various-intercrops-on-pod-borers-in-black-gram/selvam-k
effect of irrigation levels on yield performance of black cuminIJEAB
An experiment was conducted in the experimental field of Horticulture Department, Bangabandhu Sheikh MujiburRahman Agricultural University (BSMRAU), Salna, Gazipur during the period from 20 November, 2012 to 12 April, 2013 to determine the optimum level of irrigation for better yield and quality of black cumin. There were six different irrigation levels (I1 - no irrigation, I2 - three irrigation, I3 - four irrigation, I4 - six irrigation, I5 - eight irrigation and I6 - ten irrigation). Results revealed that the number of primary branches (6.33), secondary branches (11.84), tertiary branches (6.29), number of capsule per plant (18.64), capsule length (1.89 cm), diameter of capsule( 1.05 cm), number of seed per capsule (107.8), fresh seed yield per plant (3.84g), dry seed yield per plant (3.26g), 1000 seed weight (2.40g) and seed yield (1.77 t/ha) were observed maximum in I6(ten irrigation).
Effect of spawned and simple casing on the biological efficiency of pink oyster mushroom Pleurotus eous was observed. The results exhibit that spawned casing not only takes lesser time for case run but also produces early primordial development. A positive response on mushroom biomass is also noticed in this technique.
Effect of Transplanting date on the Growth and Yield of Aromatic Rice in Irri...iosrjce
A field experiment was conducted at the Bangladesh Institute of Nuclear Agriculture (BINA) farm
Mymensingh, Bangladesh during the irrigated ecosystem in December, 2009 to May 2010, with a view to study
the performance of aromatic fine rice under different date of transplanting. The experiment was carried out with
four aromatic fine rice (V1= Chinisagar, V2= Chiniatab, V3= Basmati, V4=Awnless Minicat) and three different
date of transplanting (D1=20 January, D2=5 February, D3=20 February). The experiment was laid out in splitplot
design with three replications assigning four varieties in the main plot and the three different transplanting
dates in the sub plot. Aromatic fine rice and dates of transplanting individually showed significant effect on the
agronomic parameters. Among the aromatic fine rice Awnless Minicat gave the highest yield (3.10 t ha-1
) but
that was at per with those of Basmati (1.77 t ha-1
). Transplantation on 20 January gave the highest grain yield
(2.41 t ha-1 ) which was at per with the transplantation on 5 February (1.99 t ha-1 ).The result revealed that 20 January and 5 February produced highest grain yield by all the variety. In later date of transplanting 20 February produced lower grain yield.
Production arrowroot depending on the size of the rhizome and substrate in Ca...Agriculture Journal IJOEAR
Abstract— The arrowroot starch is much appreciated in the preparation of desserts, breads, cookies and cakes. However the production of starch by the commercial varieties is still made in an amateur way without proper management. The experiment was conducted in a randomized block design in factorial 3 (rhizomes sizes) x 2 (substrates). The three rhizome sizes arrowroot, were classified as small (≤ 15.0 g), medium (≥ 15.01 and ≤ 30.0) and big (≥ 30.01 g) according to their weights. We evaluated: height collect from the region to the apex of the leaf, stem diameter at the collar region survival percentage of rhizomes, shoot dry weight, root dry mass, average number of seedlings per rhizome and calculated the index quality seedlings Dickson. There were no differences in the interaction between plants x substrate. However the size of rhizomes influenced the quality of the seedlings, and the big (≥ 30.01 g) rhizomes was what produced seedlings with the best quality.
This trial was conducted for two consecutive Kharif seasons of 2011 and 2012 to compare two interspecific
hybrids of sorghum and Sudan grass, namely Mabrook and Panar 888 with two local checks Abu Sabein
and Abu Sabein Kambal. Cultivars were sown in a randomized complete block design with four replicates.
Data were collected on plant height, number of leaves per plant, leaf area, stem diameter, number of days
to 50 % flowering, plant density, fresh weight, and dry weight. Plant height, leaf area, number of leaves
per plant, plant density, fresh weight, and dry weight showed highly significant differences (P = 0.01)
among the four cultivars while stem diameter showed significant differences (P = 0.05). Number of days
to 50% flowering showed insignificant differences among the four cultivars. Mabrook exceeded all the
other cultivars in plant height, fresh weight, and dry weight. Mabrook and Abu Sabein Kambal exceeded
the others in leaf number, leaf area, and plant density.
Effects of nitrogen fertilizer rates on yield and yield components of sesame ...Premier Publishers
The productivity of sesame crop is low due to poor agronomic practice and inappropriate use of fertilizers in Gode district. Therefore, a field experiment was conducted under irrigation in the demonstration farm of Gode Polytechnic College, in 2014. The objective was to observe the effect of five N rates (0, 23, 46, 69 and 92kg ha-1) and three sesame varieties (Adi, Barsan and Mehado-80) on yield and yield components of sesame (Sesamumindicum L.). The experiment was designed according to randomized complete blocks in factorial arrangement with three replications. Results of the analysis revealed that the interaction effects of N rates and sesame varieties were highly significant (P<0.01) in relation to number of capsules per plant-1, thousand seed weight, aerial dry biomass weight, seed yield and harvest index. Barsan variety at 46 kg N ha-1 had significantly higher number of capsules plant-1 (46.07) and seed yield (2.08 t ha-1) and harvest index (0.24) than other interactions. Similar trend was observed in 1000 seed weight also except there was no significant difference with Mehado-80 variety at 69 kg N ha-1. Mehado-80 variety at 92 kg N ha-1 had highest aerial dry biomass yield which was statistically at par with Adi at 92 kg N ha-1 and Barsan from 46 to 92 kg N ha-1.Thus, according to the results of partial budget analysis, application of 46kg N ha-1 in Barsan variety was the best interaction than others in relation to yield and yield components of sesame under Gode conditions.
Influence of Various Intercrops on Pod Borers in Black Gramijtsrd
The aim of this study was to observe the influence of various intercrops on pod borers in black gram under rain fed condition. Among the different intercrops studied, marigold recorded the lowest mean population of spotted pod borer (0.74 larvaplant) and gram blue butterfly larva (0.88 larvaplant)and natural enemies like Coccinellids (2.68 beetlesplant) and spider population (1.73 spiderplant) was maximum in black gram intercropped with maize. The maximum equivalent yield was obtained from black gram intercropped with marigold (6.04 qha) followed by black gram intercropped with maize (5.24 qha).In conclusion marigold proved to be effective intercrop to control major pod borer and also enhance the population of natural enemies. Selvam. K | Dr. D. S. Rajavel"Influence of Various Intercrops on Pod Borers in Black Gram" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd15908.pdf http://www.ijtsrd.com/other-scientific-research-area/enviormental-science/15908/influence-of-various-intercrops-on-pod-borers-in-black-gram/selvam-k
effect of irrigation levels on yield performance of black cuminIJEAB
An experiment was conducted in the experimental field of Horticulture Department, Bangabandhu Sheikh MujiburRahman Agricultural University (BSMRAU), Salna, Gazipur during the period from 20 November, 2012 to 12 April, 2013 to determine the optimum level of irrigation for better yield and quality of black cumin. There were six different irrigation levels (I1 - no irrigation, I2 - three irrigation, I3 - four irrigation, I4 - six irrigation, I5 - eight irrigation and I6 - ten irrigation). Results revealed that the number of primary branches (6.33), secondary branches (11.84), tertiary branches (6.29), number of capsule per plant (18.64), capsule length (1.89 cm), diameter of capsule( 1.05 cm), number of seed per capsule (107.8), fresh seed yield per plant (3.84g), dry seed yield per plant (3.26g), 1000 seed weight (2.40g) and seed yield (1.77 t/ha) were observed maximum in I6(ten irrigation).
Effect of spawned and simple casing on the biological efficiency of pink oyster mushroom Pleurotus eous was observed. The results exhibit that spawned casing not only takes lesser time for case run but also produces early primordial development. A positive response on mushroom biomass is also noticed in this technique.
Effect of Transplanting date on the Growth and Yield of Aromatic Rice in Irri...iosrjce
A field experiment was conducted at the Bangladesh Institute of Nuclear Agriculture (BINA) farm
Mymensingh, Bangladesh during the irrigated ecosystem in December, 2009 to May 2010, with a view to study
the performance of aromatic fine rice under different date of transplanting. The experiment was carried out with
four aromatic fine rice (V1= Chinisagar, V2= Chiniatab, V3= Basmati, V4=Awnless Minicat) and three different
date of transplanting (D1=20 January, D2=5 February, D3=20 February). The experiment was laid out in splitplot
design with three replications assigning four varieties in the main plot and the three different transplanting
dates in the sub plot. Aromatic fine rice and dates of transplanting individually showed significant effect on the
agronomic parameters. Among the aromatic fine rice Awnless Minicat gave the highest yield (3.10 t ha-1
) but
that was at per with those of Basmati (1.77 t ha-1
). Transplantation on 20 January gave the highest grain yield
(2.41 t ha-1 ) which was at per with the transplantation on 5 February (1.99 t ha-1 ).The result revealed that 20 January and 5 February produced highest grain yield by all the variety. In later date of transplanting 20 February produced lower grain yield.
Growth of Wheat Genotypes Influenced by Heat StressIJEAB
Effect of heat stress on growth of eight wheat genotypes was evaluated. Total dry matter (TDM), leaf area index (LAI), crop growth rate (CGR) and net assimilation rate (NAR) were lower at the initial stage of growth and increased with plant age and all the genotypes showed higher values at normal growing condition compared to late and very late growing condition in both the years. Growth attributes such as LAR for all the genotypes declined throughout the advancement of growth stages in each growing conditions of both years. The HT genotypes showed higher values of TDM, LAI, CGR and LAD compared to MHS and HS genotypes in both the years.
Evaluation of some maize (Zea mays L.) genotypes for resistance to stem borer...Innspub Net
The field experiments were conducted at Agricultural Research Corporation (ARC) , Kassala and Gash Research Station Farm, Takro of, Sudan. During the two winter seasons (2016/017 and 2017/018) respectively to evaluate some grain maize genotypes for resistance to stem borer and identify the most tolerance of these genotypes to Stem Borer infestation. Thirteen (STB.G1, STB.G2, STB.G3, STB.G4, STB.G5, STB.G6, STB.G7, STB.G8, STB.G9, STB.G10, STB.G11) maize genotypes were used in this study: with two check of maize variety (check. 1(Mugtama45) and ckeck. 2 (Var.113),). The experiments were arranged in Randomized Complete Block design (RCBD) with three replications. The data collected were used in this study were : Germination percentages, plant population, plant height, ear height, ear length, days to 50% Tasselling, days to 50% silking, ear length, ear diameter, cob diameter, number of rows/ear, number of kernels/row, 100 Kernel weight and Yieldkg/ha. Results showed that the most encouraging genotypes (STB.G 11, STB.G10, STB.G 4, STB.G 6 and STB.G8) of maize production at Kassala state were obtained a high value for potential of grain yield (4132, 3723, 3611, 3302 and 3264kg/ha) respectively, and for the most important of yield components. Among the traits considered, the yield (kg/ha) was the most promising as an indicator of tolerance to stem borer infestation.
Requirements for double-cropping in the south-eastern region of KazakhstanYeltay Alkenov
Атакулов Тастанбек, Алкенов Ельтай, Оспанбаев Жумагали.
Целью нашего исследования является разработка эффективной технологии получения двух урожаев в год на основе использования гребневого посева основной и промежуточной культуры, обеспечивающей резкое повышение продуктивности орошаемой пашни, рациональное использование земельных, водных ресурсов, сохранение плодородия почвы и охрану окружающей среды.
Tastanbek Atakulov, Zhumagali Ospanbaev, Yeltay Alkenov, Karlheinz Köller
The purpose of our research is the development of effective technology for two crops harvests per year based on the use of ridge sowing of main and catch crop culture, providing a sharp increase in the productivity of irrigated arable land, management of water resources, soil fertility conservation and environmental protection with the diversification of irrigated agriculture.
Abstract— The study was carried out through on farm testing during kharif seasons of 2012 and 2013 under mid central table land zone of Odisha with an objective to evaluate the performances of short duration paddy Sahabhagi dhan as compared to the farmer’s practice (Khandagiri). The late matured (98.3 days) Sahabhagi dhan recorded higher germination(48.4 m-2), plant height(87.5 cm), effective tillers plant-1(13.2), Length of panicle(22.6 cm), filled grains panicle-1(125.3) with spikelet fertility(93.65 %) and 1000 grain weight(22.3 g) than khandagiri. The same also produced grain yield 35.5 q ha-1 which is 28.6 % higher yield than Khandagiri with harvest index ( 47.9) and water productivity(3.17 kg mm-1). The variety gave higher gross return Rs. 50365 ha-1 with a benefit- cost ratio 1.38 and additional net return Rs.6059 ha-1 as compared to farmers practice and thus the existing variety Khandagiri can be replaced by Sahabhagi dhan for higher productivity and income.
Wheat is a temperate crop requiring low temperatures for growth and yield. Production of wheat in the Sudan savanna agro-ecological zone of Nigeria is restricted to periods of low temperatures that prevailed from early November to late February. Based on the above, field experiments were conducted in two locations at the University Teaching and Research Farm during 2016/2017 dry season to determine the most appropriate planting date and planting method in the study area. The two locations were: Fadama Teaching and Research farm at Jega (Lat. 12°12.99' N; long. 4° 21.90'; 197m above sea level) and the University orchard at Aliero (lat. 12°18.64'N; long. 4°29.85'; 262 above sea level). Both Jega and Aliero are located within Sudan Savanna ecological zone of Nigeria. Treatments consisted of factorial combinations of four Planting dates (1st November, 15th November 1st December and 15th December 2016) and three Planting Methods (Drilling, Dibbling and Broadcasting). The experiments were laid out in a Randomized Complete Block Design (RCBD) with three replications. Results revealed that grain number per spike; grain weight per spike, 1000-grain weight, straw yield, and grain yield were higher when planted on 15th November and 1st December. On the other hand, drilling and dibbling methods resulted to higher stand count, plant height, leave number, leaf area index, days to 50% heading, grain number per spike, grain weight per spike, 1000-grain weight straw and grain yields than broadcasting method. Based on the results of this study, it could be concluded that planting of wheat from 15th November to 1st December coupled with either dibbling or drilling methods of planting gives the best wheat yield in the study area.
Key-words: Ecological Zone, Planting Date, Planting Methods, Savanna, Triticum aestivum
Response of intercropping and different row ratios on growth and yield of whe...inventionjournals
A field experiment was conducted at Krishi Vigyan Kendra, Deendayal Research Institute, Majhagawan, Satna in rabi season 2013 and 2014 to study the response of wheat (Triticum aestivum) based intercropping(wheat+chickpea, wheat+linseed and wheat+mustard) and different row ratios (2:2, 4:2 and 6:2) under rainfed conditions of Kaymore Plateau. Intercropping reduced the values of growth parameters and yield attributes of chickpea (Cicer arietinum), linseed (Linum usitatisetum) and mustard (Brassica campestris) compared with their sole crops. Intercropping with wheat +chickpea in 2:2 row ratio recorded significantly higher wheat equivalent yield (WEY) 46.04 q/ha, land equivalent ratio (LER) 1.36,net income Rs.42429/ha and benefit :cost ratio 3.64 in comparison of sloe crop of wheat 39.94 q/ha, 1, Rs.38882/ha and 3.45, sloe crop of chickpea 27.62 q/ha, 1, Rs.19146/ha and 1.71, sloe crop of linseed 26.82 q/ha, 1, Rs.19366/ha and 2.09, sloe crop of mustard 25.40 q/ha, 1, Rs.19589/ha and 2.15,respectively
Effect of sowing date on yield and yield components of cannabis - IJAARInnspub Net
In order to investigate the effect of sowing date on yield and yield components of hemp, this study was conducted
in the field condition during 2012 in a randomized complete block design with three replications and three
sowing date consist of 30 April, 10 May and 20 May as treatments in research station of faculty of agriculture of
Azarbaijan Shahid Madani University. Results showed that maximum plant height, biological yield of plant, seed
number per plant, weight of seeds per plant, yield of seed per hectare was obtained from the second sowing date
and maximum value of harvest index belonged to first date. Maximum 1000 seeds weight and seed oil yield per
plant was observed in the first planting date but there was no significant difference with the second planting date.
Finally, it seems that middle of May is the best time for hemp planting at western agronomic lands of Iran.
A brief fact about brick kiln of Bangladesh and how it's effect on our environment. This is a part of Masters assignment and I am the part of that job.Some parts are edited by myself.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
2. BAOJ Biotech, an open access journal Volume 2; Issue 4; 022
Citation: MN Atikullah, RK Sikder, MI Asif, AFM Jamal Uddin and H Mehraj (2016) Planting Times on Growth and Yield Performance
Evaluation of Wheat. BAOJ Biotech 2: 022.
Page 2 of 3
flowering, days required from sowing to maturity, number of spike,
number of spike lets, spike length, number of filled grains, number
of unfilled grains, number of total grains, weight of 1000-grain,
grain yield, straw yield, biological yield and harvest index.
Data from five sample plants from each plot were collected and
gently washed with tap water, thereafter soaked with paper towel.
Then fresh weight was taken immediately after soaking by paper
towel. After taking fresh weight, the sample was oven dried at
700
C for 72 hours. Then oven-dried samples were transferred
into desiccators and allowed to cool down to room temperature,
thereafter dry weight of plant was taken and expressed in gram.
Using the data on the leaf area and dry matter from each specific
treatment, the following growth parameters were derived with the
following mentioned calculation [10]:
CGR = [(1 ÷ GA) × {(W2
-W1
) ÷ (T2
-T1
)}] g m-2
day-1
Where, GA = Ground area (m2
), W1
= Total dry weight at previous
sampling date (T1
), W2
= Total dry weight at current sampling
date (T2
), T1
= Date of previous sampling and T2
= Date of current
sampling
RGR = {(LnW2
– LnW1
) ÷ (T2
-T1
)} g g-1
day-1
Where, W1
= Total dry weight at previous sampling date (time T1
),
W2
= Total dry weight at current sampling date (time T2
), T1
= Date
of previous sampling, T2
= Date of current sampling, Ln = Natural
logarithm
Grains and straw obtained from 1 m-2
from each unit plot were
sun-dried and weighed carefully. Dry weight of central 1 m2
area
used to record grain yield m-2
and converted this into t ha-1
.
Biological yield was calculated with the following formula
Biological yield = Grain yield + Straw yield
Harvest index was calculated using the following formula-
HI (%) = [{Economic yield (grain weight)} ÷ {Biological yield
(Total dry weight)}] × 100
Collected data were statistically analyzed using MSTAT-C
computer package program. Mean were calculated and significance
of difference among treatment means was estimated by Duncan
Multiple Range Test (DMRT) at 5% level of probability [11].
Results and Discussion
Plant height: Plant height varied significantly at different days after
sowing (DAS) and harvest was due to different sowing date. Tallest
plant was found from S1
(80.7 cm) which was statistically similar
to S2
(78.1) cm while shortest from S3
(74.2 cm) at harvest (Figure
1a).
Seeds sowing at November 19th
ensure tallest plant than early
and delay sowing of seeds. BARI [12] reported that tallest plant
(76.8 cm) when sowing was done on 20th
November. The result of
our study was quite similar to the report of BARI. El- Nakhlawy
[13] found tallest plant in November 15th
planting (91.40 cm) and
minimum from 31st
December planting (76.21 cm). Early sown
crop may have benefit from the better environmental conditions
especially the temperature and solar radiation which resulted to
tallest plants [14].
Number of tillers: Number of tillers of wheat showed significant
variation at different DAS due to different sowing date. Maximum
number of tillers was found S1
(4.7/hill) minimum from S3
(4.2/
hill) which was statistically similar to S2
(4.6/hill) at harvest (Figure
1b). Seeds sowing at November 19th
ensured the maximum tiller
than early and delay sowing of seeds. BARI [12] reported that 20th
November sowing produced the highest number of effective tillers/
plant. Sowing date of 15th
November produced the highest value of
the number of tillers per unit area [15]. Mohammed et al. [16] also
found significant variation in number of tiller production of wheat
at different planting dates. Less number of tillers was found from
late sowing which occurs due to low temperature. Temperature
was not according to the tillering requirement and delayed sowing
which results in less number of tillers [17,18].
Dry matter content: Significant variation for dry matter content
of wheat was found at different DAS due to different sowing date.
Maximum dry matter content was found from S1
(18.2 g/plant)
whichwasstatisticallysimilarwithS2
(17.9g/plant)whileminimum
from S3
(17.0 g/plant) at harvest (Figure 1c). Timely planted wheat
had more time for the dry matter accumulation [14,19] so seed
sowing at 19th
November may be the good time for wheat.
Crop growth rate (CGR) and relative growth rate (RGR): CGR
of wheat was not varied significantly among the different sowing
date at different DAS. Maximum CGR was found from S1
(12.6
gm-2
day-1
) followed by S2
(12.4 gm-2
day-1
) and S3
(11.9 gm-2
day-1
) at
65-85 DAS (Figure 2a). RGR of wheat was not varied significantly
among the different sowing date at different DAS. Maximum RGR
was found from S1
(0.022 gm-2
day-1
) followed by S2
(0.021 gm-
2
day-1
) and S3
(0.020 gm-2
day-1
) at 65-85 DAS (Figure 2b). Growth
rate generally differs due to the differential plant growth regulator
production such as cytokinins [20,21]. Therefore, early sowing may
have induced higher cytokinins than late.
Days required from sowing to flowering and maturity: Early
flowering was found from S1
(66.8 days) whereas late from S2
(70.2
days) which was statistically identical with S3
(68.7 days) (Table 1).
Early maturity was found from S2
(117.3 days) while late from S3
(120.0 days) (Table 1). Similar variation was also found in wheat
by Suleiman et al. [22], Sial et al. [23], Khan et al. [24], Tahir et al.
[25], Nahar et al. [26] and Refay [27]. Delay planting caused late
reproductive phase such as flowering and maturity [28].
Number of spikes: Maximum number of spikes was found from
S1
(4.2/hill) which was statistically similar with S2
(4.1/hill) while
minimum from S3
(4.0/hill) (Table 1). Maximum number of spike
was obtained when the plants were sown on 15th
November [17, 29].
Optimum sowing date provide favorable environment at tillering
stage which produced more number of spikes [19,30].
Number of spikelets: Maximum number of spikelets was found
from S1
(17.9/spike) which was statistically similar with S2
(16.8/
spike) whereas minimum from S3
(15.8/spike) (Table 1). Salem [26]
and El-Shami et al. [31] were also found maximum number of spike
lets/spike at the sowing dates on 15th
November which supports the
result of the current experiment.
Spike length (cm): Longest spike was found from S1
(18.6 cm)
which was statistically identical with S2
(18.4 cm) while shortest
3. BAOJ Biotech, an open access journal Volume 2; Issue 4; 022
Citation: MN Atikullah, RK Sikder, MI Asif, AFM Jamal Uddin and H Mehraj (2016) Planting Times on Growth and Yield Performance
Evaluation of Wheat. BAOJ Biotech 2: 022.
Page 3 of 3
10.0
35.0
60.0
85.0
Plantheight(cm).
1.0
3.0
5.0
7.0
Numberoftillers/hill..
1.0
7.0
13.0
19.0
5 25 45 65 85
Days after sowing (DAS)
Drymattercontent(g/plant).
S1 S2 S3
Fig. 1: Effect of seed sowing dates on (a) plant height, (b)
number of tillers and (c) dry matter content to wheat
from S3
(18.0 cm) (Table 1). Chowdhury [32] conducted an
experiment with four sowing dates and reported that spike length
decreased with delay in sowing date from 15th
November and the
lowest spike length were recorded in 15th
December sown plants.
Longest spike length was observed as a result of sowing on 15th
November while shortest one was produced by sowing wheat on
1st
November and 15th
December. Increase in spike length resulted
from sowing on 15th
November might be due to longer time
available for maximum reproductive growth as vegetative growth
was terminate at proper time and the crop utilize the soil nutrients
efficiently for reproductive growth and flowering growth rate were
bigger by second sowing than before or after this date which caused
higher spike length. These results are in agreement with those
obtained by Shahzad et al. [33] and Salem [29].
Number of filled grains and unfilled grains: Maximum number
of filled grains was found from S1
(30.2/spike) whereas minimum
from S3
(24.3/spike) which was statistically identical with observed
in S2
(25.8/spike) (Table 2). Sowing at 15th
November has the chance
of wide vegetative period than late and early sown one because the
crop has the chance to produce more metabolite translocation to
grains which could be due to the prevailing temperatures in the
growing season [34]. Seleiman et al. [34] also found that grains on
the 15th
November shorted the effective filling period more than the
others tested sowing dates. Maximum unfilled grains were found
from S3
(3.2/spike) while minimum from S1
(2.5/spike) (Table 2).
Number of total grains: Number of grains was varied significantly
among the different sowing date. Maximum number of total grains
was found from S1
(32.6/spike) while minimum from S3
(27.6/
spike) which was statistically identical with S2
(28.5/spike) (Table 2).
Chowdhury [32] conducted an experiment with four sowing dates
and reported that grains spike-1
decreased with delay in sowing date
from November 15th
and the lowest grains spike-1
were recorded in
December 15th
sown plants. Less number of grains per spike in late
sowing [35,36] was due to less production of photosynthesis due to
shorter growing period [14].
Weight of 1000-grain: Maximum 1000 grain weight of wheat was
found from S1
(43.4 g) while minimum from S3
(40.4 g) which was
statistically identical with S3
(41.5 g) (Table 2). Chowdhury [32]
conducted an experiment with four sowing dates and reported
that 1000-grain weight decreased with delay in sowing date from
November 15th
and the lowest 1000-grain weight were recorded
in December 15th
sown plants. The early sowing resulted in better
development of the grains due to longer growing period [14, 19,
36] that resulted for the maximum weight of 1000-grains. The
1000 grain weight was by delay planting that might be for shorter
grain filling period [37, 38, 39]. On the other hand, late sowing
plants doesn’t get the sufficient time for better development that
resulted less number of tillers, less number of grains/spike and
lower 1000-grain weight which ultimately caused decreased 1000-
grain weight.
Grain yield: Grain yield of wheat showed significant variation due
(a)
(b)
(c)
4. BAOJ Biotech, an open access journal Volume 2; Issue 4; 022
Citation: MN Atikullah, RK Sikder, MI Asif, AFM Jamal Uddin and H Mehraj (2016) Planting Times on Growth and Yield Performance
Evaluation of Wheat. BAOJ Biotech 2: 022.
Page 2 of 3
Table 1: Effect of seed sowing dates on duration and spike related characters X
Seed sowing dates
Days required from sowing to Number of
Spike length (cm)
flowering maturity spikes/hill spikelets /spike
S1
66.8 b 118.2 ab 4.2 a 17.9 a 18.6 a
S2
70.2 a 117.3 b 4.1 ab 16.8 ab 18.4 ab
S3
68.7 a 120.0 a 4.0 b 15.8 b 18.0 b
LSD 0.05 1.6 1.9 0.1 1.2 0.4
CV (%) 5.8 4.8 4.7 8.5 5.4
X
In a column means having similar letter (s) are statistically identical and those having dissimilar letter (s) differ significantly as per 0.05 level of
probability
to different sowing date. Maximum grain yield was found from S1
(3.3 t/ha) while minimum from S3
(3.0 t/ha) which was statistically
identical with S2
(3.1 t/ha) (Table 2). Less number of tillers, less
number of grains/spike and lower 1000-grain weight ultimately
caused lower grain yield at late sowing period and vice versa for
the early sowing [17,19]. Tahir et al. [25], Baloch et al. [40], Yajam
and Madani [41], Khokhar et al. [42], Suleiman et al. [43] and
Mahboob et al. [43] also found variation on growth and yield of
wheat at different planting time. Late sowing of crop affect the
development of plant organs and cause the reduction in plant
height, numbers of days taken to heading, maturity, grain filling
and yield and yield component [14,19].
Straw yield: Maximum straw yield was found from S1
(5.62 t/ha)
while minimum from S3
(5.3 t/ha) which was statistically identical
with (5.30 t ha-1
obtained from S2
(Table 2). Early sowing caused
maximum plant height, number of tiller, dry matter content, CGR
and RGR which may resulted the maximum straw yield [44].
Biological yield: Maximum biological yield was found from S1
(8.9 t/ha) while minimum from S3
(8.3 t/ha) which was statistically
identical with S2
(8.4 t/ha) (Table 2). Early planting increases
biological yield while late planting decreases biological yield
[45,46]. Biomass production varied significantly due to sowing
times [21].
Harvest index: There was no significant variation for harvest index
of wheat due to different sowing date. Numerically, maximum
harvest index was found from S1
(37.1%) whereas minimum from
S3
(36.2%) (Table 2). Samuel et al. [47] reported that late sowing
condition (6th
January 1997) reduce harvest index (36.1%) from
(41.5%) of normal sowing condition (29th
November 1996) in
2.00
6.00
10.00
14.00
25-45 45-65 65-85
CGR(gm
-2
day
-1
)
0.010
0.025
0.040
0.055
25-45 45-65 65-85
RGR(gg
-1
day
-1
)
Fig. 2: Effect of seed sowing dates on (a) CGR and (b) RGR to wheat
Table 2: Effect of seed sowing dates on yield related characters and yield of wheat X
Seed sowing dates
Grains/spike
1000 -grains weight (g)
yield (t/ha)
Harvest index (%)
filled unfilled total grain straw biological
S1
30.2 a 2.5 c 32.6 a 43.4 a 3.3 a 5.6 a 8.9 a 37.1 a
S2
25.8 b 2.7 b 28.5 b 41.5 b 3.1 b 5.3 b 8.4 b 36.5 a
S3
24.3 b 3.2 a 27.6 b 40.4 b 3.0 b 5.3 b 8.3 b 36.2 a
LSD0.05 1.6 0.1 1.0 1.3 0.1 0.2 0.4 1.5
CV (%) 7.2 7.6 6.8 4.8 6.8 6.2 4.8 5.9
X
In a column means having similar letter (s) are statistically identical and those having dissimilar letter (s) differ significantly as per 0.05 level of
probability
(a) (b)
5. BAOJ Biotech, an open access journal Volume 2; Issue 4; 022
Citation: MN Atikullah, RK Sikder, MI Asif, AFM Jamal Uddin and H Mehraj (2016) Planting Times on Growth and Yield Performance
Evaluation of Wheat. BAOJ Biotech 2: 022.
Page 3 of 3
wheat. planting times affect harvest index significantly [45,46].
In overall discussion, it can talk about that planting time fix on the
growth habit of the crop as climatic conditions which are generally
varied from optimum conditions. Cereals respond significantly to
environmental features regarding growth and development that
is mostly temperature and moisture dependent [48]. Radiation
interception strongly dependent to plant response to leaf initiation,
levelofappearanceandleafnumber[49]whichindirectlycontribute
towards grain development and yield improvement. Reduction of
wheat yield with late planting date was the effect of exposure of
plants to high temperature, which decreased season length [22].
Planting at inappropriate time may cause severe decrease in wheat
yield [50]. Heat stress and dry winds during grain filling period
resulted in forced maturity of crop which shorten the reproductive
stage and consequently grain size [51].
Conclusion
Based on the experimental results, it may be concluded here that
morphological growth, yield attributes and yield of wheat were
related with time of sowing and November sowing of wheat is found
better than December sowing in relation to the crop performance.
References
1. Majumder AR (1991) Assessment of yield loss caused by common
root rot (Bipolaris sorokiniana) in wheat a cultivar in Queensland.
Aust J Agric Res 13(3): 143-151.
2. Saari EE (1998) Leaf Blight Diseases and Associated Soil Borne Fungal
Pathogens of Wheat in North and South East Asia. In: Helminthospo-
rium Blights of Wheat: Spot Blotch and Tan Spot pp: 37-51.
3. Badruddin M, Sauders DA, Siddique AB, Hossain MA, Ahmed MO, et
al. (1994) Determining yield constraints for wheat production in Ban-
gladesh pp: 265-271.
4. Kobza SN, Edwards RK (1987) Response of wheat (Triticum aestivum
L.) to irrigation and fertilizer mixture under late sowing condition.
Bhartiya Krishi Anusandhan Patrika 2(1): 31-36.
5. Al-Khatib K, Paulsen GM (1990) Photosynthesis and productivity dur-
ing high temperature stress of wheat genotypes from major world
regions. Crop Sci 30(5): 1127-1132.
6. Bhatta MR, Hernandez JE, Lales JS (1994) Possibilities of selecting
wheat’s with fast grain filling rate for warmer areas. In D.A. Saunders
andG.P.Hatel(ed.)WheatinHeat-stressedEnvironments:Irrigated.Dry
Areas and Rice wheat Farming System CIMMYT Mexico D.F. 375-378.
7. Islam N, Ahmed SM, Razzaque MA, Sufian A, Hossain MA (1993) A
study on the effect of seeding dates on the yield of wheat varieties.
Bangladesh J Agric Res 18(1): 102-107.
8. Acevedo E, Nachit M, Ortiz G (1990) Effect of heat stress on wheat and
possible selection tools for the use in breeding for tolerance. Wheat
for the non-traditional warm areas. In: Saunders, D.A. (ed.) Proceed-
ings of International Conference, July, 29-3, Mexico 401-402.
9. BARI (Bangladesh Agricultural Research Institute) (2006) Krishi Projukti
Hat Boi. BARI. Joydevpur, Gazipur. p. 14.
10. Hunt R (19780 Plant growth analysis. The institute of Biology’s studies
in Biology No. 96. Edward Arnold (Publishers) Limited, London, UK.
11. Gomez KA, Gomez AA (1984) Statistical Procedure for Agricultural Re-
search (2nd
edn) Int Rice Res. Inst A Willey Int Sci pp: 28-192.
12. BARI (Bangladesh Agricultural Research Institute) (1984) Annual Re-
port 1981-82. Joydebpur, Gazipur 12-20.
13. Nakhlawy FS, Alghabari F, Ihsan MZ (2015) Response of wheat geno-
types to planting dates in the arid region. Sci Agri 10(2): 59-63.
14. Shahzad K, Bakht J, Shah WA, Shafi M, Jabeen N (2002) Yield and yield
components of various wheat cultivars as affected by different sow-
ing dates. Asian J Plant Sci 1(5): 522-525.
15. El Gizawy N (2009) Effect of Planting Date and Fertilizer Application
on Yield of Wheat under No till System. World J Agric Sci 5(6): 777-
783.
16. Mohammed SC, Ali L, Akhtar M (2003) Wheat Following the Cotton
and Rice Based Cropping System in Pakistan. Agron. Research Station.
Bahawapur Pakistan 112-113.
17. Aslam M, Hussain M, Akhtar M, Cheema MS, Ali L (2003) Response of
wheat varieties to sowing dates. J Agron 2(4): 190-194.
18. Shah WA, Bakht J, Ullah T, Khan AW, Zubair M, et al. (2006) A Effect of
sowing dates on yield and yield components of different wheat variet-
ies. J Agron 5(1): 106-110.
19. Spink JH, Semere T, Sparkes DL, Whaley JM, Foulkers MJ, Clare RW,
Scott RK (2000) Effect of sowing date on plant density of winter
wheat. Ann App Biol 137(2): 179-188.
20. Rauf S, Sadaqat HA (2007) Effects of varied water regimes on root
length, dry matter partitioning and endogenous plant growth regula-
tors in sunflower (Helianthus annuus L.). J Plant Interact 2(1): 41-51.
21. Miranzadeh H, Emam Y, Seyyed H, Zare S (2011) Productivity and
radiation use efficiency of four dryland wheat cultivars under differ-
ent levels of nitrogen and chlormequat chloride. J Agric Sci Technol
13(3): 339-351.
22. Suleiman AA, Nganya JF, Ashraf MA (2014) Effect of Cultivar and Sow-
ing Date on Growth and Yield of Wheat (Triticum aestivum L.) in Khar-
toum, Sudan. J Forest Products and Industries 3(4): 198-203.
23. Sial MA, Arain MA, Mazhar SK, Naqvi H, Dahot MU, et al. (2005) Yield
and quality parameters of wheat genotypes as affected by sowing
dates and high temperature stress. Pakistan J Bot 37(3): 575-584.
24. Khan MI, Tila M, Subhan F, Amin M, Shah ST (2007) Agronomic evalu-
ation of different bread wheat (Triticum aestivum L.) genotypes for
terminal heat stress. Pakistan J Bot 39(7): 2415-2425.
25. Tahir M, Ali A, Nadeem MA, Hussain A, Khalid F (2009) Effect of differ-
ent sowing dates on growth and yield of wheat (Triticum aestivum L.)
genotypes in District Jhang, Pakistan. Pak J Life Soc Sci 7(1): 66-69.
26. Nahar K, Ahmad K, Fujita M (2010) Phenological variation and its rela-
tion with yield in several wheat (Triticum aestivum L.) cultivars under
normal and late sowing mediated heat stress conditions. Not Sci Biol
2(3): 51-56.
27. Refay YA (2011) Yield and yield component parameters of bread
wheat genotypes as affected by sowing dates. Middle-East J Sci Res
7(4): 484-489.
28. Sandhu IS, Sharma AR, Sur HS (1999) Yield Performance and Heat
Unit Requirement of Wheat (Triticum aestivum L) Varieties as Affect-
ed by Sowing Dates under Rainfed Conditions. Indian J Agr Sci 69(3):
175–179.
6. BAOJ Biotech, an open access journal Volume 2; Issue 4; 022
Citation: MN Atikullah, RK Sikder, MI Asif, AFM Jamal Uddin and H Mehraj (2016) Planting Times on Growth and Yield Performance
Evaluation of Wheat. BAOJ Biotech 2: 022.
Page 2 of 3
29. Salem MAM (1999) Effect of sowing dates and seeding rates on pro-
ductivity of three newly wheat cultivars (Triticum aestivum L.). Man-
soura University Journal of Agricultural Sciences (Egypt) 24: 4379-
4395.
30. Hakim MA, Hossain A, da Silva JAT, Zvolinsky VP & Khan MM (2012)
Yield, protein and starch content of twenty wheat (Triticum aestivum
L.) genotypes exposed to high temperature under late sowing condi-
tions. J Sci Res 4(2): 477-489.
31. El Shami MM, Sharshar MS, Abdel Latif AH (1995) Effect of late plant-
ing date and nitrogen fertilization on wheat. Egyptian J App Sci 10:
177-188.
32. Chowdhury MZR (2002) Effect of different sowing dates on mor-
phopysiological features, yield and yield contributing characters of
three modern wheat varieties. MS thesis, Dept. of crop botany Hajee
Mohammad Danesh Science and Technology University Dinajpur
Bangladesh.
33. Shahzad MA, Ud Din W, Sahi ST, M khan MM, Ehsanullah, et al. (2007)
Effect of sowing dates and seed treatments on grain yield and quality
of wheat. Pakistan J Agric Sci 44(4): 581-583.
34. Seleiman M, Ibrahim M, Abdel aal S, Zahran G (2011) Effect of Sowing
Dates on Productivity, Technological and Rheological Characteristics
of Bread Wheat. J Agro Crop Sci 2(1): 1-6.
35. Hanson B (2001) Planting rate influence on yield and agronomic traits
of hard red spring wheat in northeastern North Dakota. Langdon Res.
Ext Center NDSU Agric Report I.
36. French RJ, Schultz JE, Rudd CL (2005) Effect of time of sown on wheat
phenology in South Australia. Aus J Expt Agric Anim Husban 19(96):
89-96.
37. Sarag EI, Ismaeil RIM (2013) Evaluation of Some Bread Wheat Cul-
tivars and Water Stress in Semi–arid Region. Asian J Crop Sci 5(2):
167–178.
38. Qasim M, Qamer M, Alam M (2008) Sowing dates effect on yield and
yield components of different wheat varieties. J Agric Res 46(2):135–
140.
39. Rashid MH, Samanta SC, Biswas P, Mannan MA, Zaman AKM (2004)
Performance of Thirty Wheat Genotypes under Late Sown Conditions
in Southern Region of Bangaladesh. Asian J Plant Sci 3(3): 286 – 289.
40. Baloch MS, Shah ITH, Nadim MA, Khan MI, Khakwani AA (2010) Effect
of seeding density and planting time on growth and yield attributes
of wheat. J Anim Plant Sci 20(4): 239-240.
41. Yajam S, Madani H (2013) Delay sowing date and its effect on Iranian
winter wheat cultivars yield and yield components. Ann Biol Res 4(6):
270-275.
42. Khokhar Z, Hussain I, Khokhar B, Sohail M (2010) Effect of palnt-
ing dates on yied of wheat genotypes in Sindh. Pakistan J Agric Res
23(3-4): 103-107.
43. Mahboob AS, Arian MA, Khanzada SMHN, Umer M, Nisar AN (2005)
Yield and quality parameters of wheat genotypes as affected by sow-
ing dates and high temperature stress. Pakistan J Bot 37(3): 575-584.
44. Donaldson E, Schillinger WF, Dofing SM (2001) Straw production and
grain yield relationship in winter wheat. Crop Sci 41(1): 100-106.
45. Said A, Gul H, Saeed B, Haleema B, Badshah NL, Parveen L (2012)
Response of wheat to different planting dates and seeding rates for
yield and yield components. ARPN J Agric Biol Sci 7(2): 139-140.
46. Wajid SA (2004) Modeling development, growth and yield of wheat
under different sowing dates, plant populations and irrigation levels.
Department of Agron. Univ. of Arid Agric. Rawalpindi.
47. Samuel SR, Deshmukh PS, Sairam RK, Kushwaha SR (2000) Influence
of benzyladenine application on yield and yield components in wheat
genotypes under normal and late planting conditions. Indian J Plant
Physiol 5(3): 240-243.
48. Eslami H, Hadi SM & Arabi MK (2014) Effect of planting date on pro-
tein content of wheat varieties. Int J Farming Allied Sci 3(4): 362-364.
49. Akhtar M, Cheema MS, Jamil M & Ali L (2006) Effect of time of sow-
ing on some important characters of wheat, Triticum aestivum geno-
types. J Agric Res 44(4): 255-259.
50. Sattar A, Iqbal MM, Areeb A, Ahmed Z, Irfan M, Shabbir RN & Hussain
S (2015) Genotypic variations in wheat for phenology and accumula-
tive heat unit under different sowing times. J Environ Agric Sci 2(2):
8-18.
51. Singh T & Dhaliwal GS (2000) Performance of wheat varieties under
late sowing conditions in southwestern region of Punjab. J Res Pb Agri
Univ 37(3-4): 181-183.