Heterosis for Yield Component Traits and Protein Content in Bread Wheat under Normal and Heat-stress Environment

2014 ◽  
Vol 42 (1) ◽  
pp. 151-162 ◽  
Author(s):  
M.K. Singh ◽  
P.K. Sharma ◽  
B.S. Tyagi ◽  
G. Singh
Keyword(s):  
Heat Stress ◽  
Protein Content ◽  
Bread Wheat ◽  
Yield Component ◽  
Component Traits ◽  
Stress Environment ◽  
Yield Component Traits

scholarly journals Response of Groundnut (Arachis hypogaea L.) Genotypes to Combined Application of Phosphorus and Foliar Zinc Fertilizers in Central Tigray, Ethiopia 

2020 ◽  
Author(s):  
Hintsa Meresa Berhe ◽  
Dereje Assefa Abera ◽  
Yemane Tsehaye Yemane
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Fat Content ◽  
Yield Component ◽  
Strong Positive Correlation ◽  
Combined Application ◽  
Loamy Sand Soil ◽  
Component Traits ◽  
Main Plot ◽  
Yield Component Traits

Abstract Background:Objective of the study was to investigate the response of groundnut genotypes to combined application of phosphorus and zinc on yield and nutritional contents. A field experiment was conducted at Sheka-Tekli in 2017/18 cropping season. Methods:The treatments were consisted of three groundnut genotypes (ICGV00308, ICGV91114 and Sedi) as main plot and four combined PZn fertilizer levels (00), 10 kg P/ha +0.50 g Zn/L, 20 kg P/ha +1 g Zn/L and 30 kg P/ha+1.5 g Zn/L as sub plot were assigned in split plot design with tree replications.Result: The result indicated that yield and yield components respond significantly to the main and interaction effects. The highest significant seed yield (2,529 kg/ha) and protein content (37.79%) were obtained in response to the application of P30Zn1.5 fertilizer on sedi variety in the loamy sand soil The percentage of crude protein and fat content had significantly affected by interaction components. Most of the yield component traits showed strong positive correlation with seed yield. While the lowest seed yield was recorded from ICGV00308 without fertilizer. The highest fat content (43.95%) was gained from genotype ICGV00308 at P30Zn1.5 fertilizer. From the interaction of sedi with P30Zn1.5 fertilizer was recorded highest protein content. Based on economic analysis the highest MRR (380.58%) was obtained from ICGV00308 genotype at P10Zn0.5 fertilizer. Conclusion: From the result of the study, application of PZn fertilizer increases seed yield of groundnut. Therefore, based on the MRR result ICGV00308 genotype at P10Zn0.5 fertilizer was optimum for groundnut production in the study area and similar agro-ecologies.

scholarly journals Response of groundnut (Arachis hypogaea L.) genotypes to combined application of phosphorus and foliar zinc fertilizers in Central Tigray, Ethiopia

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Hintsa Meresa ◽  
Dereje Assefa ◽  
Yemane Tsehaye
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Fat Content ◽  
Yield Component ◽  
Strong Positive Correlation ◽  
Combined Application ◽  
Loamy Sand Soil ◽  
Component Traits ◽  
Main Plot ◽  
Yield Component Traits

Abstract Background Adequate phosphorus (P) and foliar zinc (Zn) in groundnut required for obtaining Zn-enriched grain and optimum yield. However, it was very low in the area. Due to that objective of the study was to investigate the response of groundnut genotypes to combined application of phosphorus and zinc on yield and nutritional contents. A field experiment was conducted at Sheka-Tekli in 2017/18 cropping season. Methods The treatments were consisted of three groundnut genotypes (ICGV00308, ICGV91114 and Sedi) as main plot and four combined PZn fertilizer levels (00), 10 kg P/ha + 0.50 g Zn/L, 20 kg P/ha + 1 g Zn/L and 30 kg P/ha + 1.5 g Zn/L as sub plot were assigned in split plot design with tree replications. Result The result indicated that yield and yield components respond significantly to the main and interaction effects. The highest significant seed yield (2529 kg/ha) and protein content (37.79%) were obtained in response to the application of P30Zn1.5 fertilizer on sedi variety in the loamy sand soil. The percentage of crude protein and fat content had significantly affected by interaction components. Most of the yield component traits showed strong positive correlation with seed yield. While the lowest seed yield was recorded from ICGV00308 without fertilizer. The highest fat content (43.95%) was gained from genotype ICGV00308 at P30Zn1.5 fertilizer. From the interaction of sedi with P30Zn1.5 fertilizer was recorded highest protein content. Based on economic analysis the highest MRR (380.58%) was obtained from ICGV00308 genotype at P10Zn0.5 fertilizer. Conclusion From the result of the study, application of PZn fertilizer increases seed yield of groundnut. Therefore, based on the MRR result ICGV00308 genotype at P10Zn0.5 fertilizer was optimum for groundnut production in the study area and similar agro-ecologies.

scholarly journals Response of Groundnut (Arachis hypogaea L.) Genotypes to Combined Application of Phosphorus and Foliar Zinc Fertilizers in Central Tigray, Ethiopia

2020 ◽  
Author(s):  
Hintsa Meresa Berhe ◽  
Dereje Assefa Abera ◽  
Yemane Tsehaye Yemane
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Fat Content ◽  
Yield Component ◽  
Leaf Length ◽  
Strong Positive Correlation ◽  
Combined Application ◽  
Component Traits ◽  
Main Plot ◽  
Yield Component Traits

Abstract Background: Adequate phosphorus (P) and foliar zinc (Zn) in groundnut required for obtaining Zn-enriched grain and optimum yield. However, it was very low in the area. Due to that, the study investigated the response of groundnut genotypes to combined application of phosphorus and zinc on yield and nutritional content. Methods: A field experiment was conducted at Sheka-Tekli in 2017/18 cropping season. The treatments were consisted of three groundnut genotypes (ICGV00308, ICGV91114 and Sedi) as main plot and four combined (P with Zn) fertilizer levels (00(F 0 ), 10 kg P/ha +0.50 g Zn/L(F 1 ), 20 kg P/ha +1 g Zn/L(F 2 ) and 30 kg P/ha+1.5 g Zn/L(F 3 ) as sub plot was assigned in split plot design. Result: The genotype and combined fertilizer main effect had significance effect on days to 50% flowering and days to 50% maturity. They had also a significant effect on hundred seed weight and leaf length, respectively. Number of pods/plant, pod yield/ha, number of seeds/pod, seed yield kg/ha, shelling percentage, percentage of crude protein and fat content had significantly affected by interaction component. Most of the yield component traits showed a strong positive correlation with seed yield . The highest seed yield (2,529 kg/ha) and protein content (37.79%) was obtained from Sedi with F 3 fertilizer. While the lowest yield was recorded from ICGV00308genotype without fertilizer. The highest fat content (43.95%) had gained from the genotype ICGV00308 with F 3 . A significant MRR (380.58%) was obtained from genotype ICGV00308 with F 1 . In addition, ICGV00308 & sedi with F 3 is the greatest interaction for extract high fat and protein content, respectively. Conclusions: From the result of the study, application of PZn fertilizer increases yield of groundnut. Therefore, based on the MRR result genotype ICGV00308 with F 1 was the best combination to produce groundnut per unit investment in the study area.

scholarly journals Response of Groundnut (Arachis hypogaea L.) Genotypes to Combined Application of Phosphorus and Foliar Zinc Fertilizers in Central Tigray, Ethiopia

2020 ◽  
Author(s):  
Hintsa Meresa Berhe ◽  
Dereje Assefa Abera ◽  
Yemane Tsehaye Yemane
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Fat Content ◽  
Yield Component ◽  
Strong Positive Correlation ◽  
Combined Application ◽  
Loamy Sand Soil ◽  
Component Traits ◽  
Main Plot ◽  
Yield Component Traits

Abstract Background: Adequate phosphorus (P) and foliar zinc (Zn) in groundnut required for obtaining Zn-enriched grain and optimum yield. However, it was very low in the area. Due to that objective of the study was to investigate the response of groundnut genotypes to combined application of phosphorus and zinc on yield and nutritional contents. A field experiment was conducted at Sheka-Tekli in 2017/18 cropping season. Methods:The treatments were consisted of three groundnut genotypes (ICGV00308, ICGV91114 and Sedi) as main plot and four combined PZn fertilizer levels (00), 10 kg P/ha +0.50 g Zn/L, 20 kg P/ha +1 g Zn/L and 30 kg P/ha+1.5 g Zn/L as sub plot were assigned in split plot design with tree replications.Result: The result indicated that yield and yield components respond significantly to the main and interaction effects. The highest significant seed yield (2,529 kg/ha) and protein content (37.79%) were obtained in response to the application of P30Zn1.5 fertilizer on sedi variety in the loamy sand soil. The percentage of crude protein and fat content had significantly affected by interaction components. Most of the yield component traits showed strong positive correlation with seed yield. While the lowest seed yield was recorded from ICGV00308 without fertilizer. The highest fat content (43.95%) was gained from genotype ICGV00308 at P30Zn1.5 fertilizer. From the interaction of sedi with P30Zn1.5 fertilizer was recorded highest protein content. Based on economic analysis the highest MRR (380.58%) was obtained from ICGV00308 genotype at P10Zn0.5 fertilizer. Conclusion: From the result of the study, application of PZn fertilizer increases seed yield of groundnut. Therefore, based on the MRR result ICGV00308 genotype at P10Zn0.5 fertilizer was optimum for groundnut production in the study area and similar agro-ecologies.

scholarly journals Evaluating Genotype × Environment Interactions of Yield Traits and Adaptability in Rice Cultivars Grown under Temperate, Subtropical and Tropical Environments

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 558
Author(s):  
Xing Huang ◽  
Su Jang ◽  
Backki Kim ◽  
Zhongze Piao ◽  
Edilberto Redona ◽  
...  
Keyword(s):  
Yield Component ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Accurate Identification ◽  
Rice Varieties ◽  
Panicle Number ◽  
Tropical Conditions ◽  
Component Traits ◽  
Yield Component Traits

Rice yield is a complex trait that is strongly affected by environment and genotype × environment interaction (GEI) effects. Consideration of GEI in diverse environments facilitates the accurate identification of optimal genotypes with high yield performance, which are adaptable to specific or diverse environments. In this study, multiple environment trials were conducted to evaluate grain yield (GY) and four yield-component traits: panicle length, panicle number, spikelet number per panicle, and thousand-grain weight. Eighty-nine rice varieties were cultivated in temperate, subtropical, and tropical regions for two years. The effects of both GEI (12.4–19.6%) and environment (23.6–69.6%) significantly contributed to the variation of all yield-component traits. In addition, 37.1% of GY variation was explained by GEI, indicating that GY performance was strongly affected by the different environmental conditions. GY performance and genotype stability were evaluated using simultaneous selection indexing, and 19 desirable genotypes were identified with high productivity and broad adaptability across temperate, subtropical, and tropical conditions. These optimal genotypes could be recommended for cultivation and as elite parents for rice breeding programs to improve yield potential and general adaptability to climates.

scholarly journals Genetic imprints of domestication for disease resistance, oil quality, and yield component traits in groundnut (Arachis hypogaea L.)

2018 ◽  
Vol 294 (2) ◽  
pp. 365-378 ◽  
Author(s):  
Pawan Khera ◽  
Manish K. Pandey ◽  
Nalini Mallikarjuna ◽  
Manda Sriswathi ◽  
Manish Roorkiwal ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Arachis Hypogaea ◽  
Oil Quality ◽  
Yield Component ◽  
Arachis Hypogaea L ◽  
Component Traits ◽  
Yield Component Traits

scholarly journals Evaluation of Yield Component Traits of Honeybee-Pollinated (Apis mellifera L.)Rapeseed Canola (Brassica napus L.)

2010 ◽  
Vol 70 (2) ◽  
pp. 309-314 ◽  
Author(s):  
Ximena Araneda Durán ◽  
Rodrigo Breve Ulloa ◽  
José Aguilera Carrillo ◽  
Jorge Lavín Contreras ◽  
Marcelo Toneatti Bastidas
Keyword(s):  
Apis Mellifera ◽  
Brassica Napus ◽  
Yield Component ◽  
Brassica Napus L ◽  
Component Traits ◽  
Yield Component Traits
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