Genotype × environment interaction and grain yield stability of quality protein maize hybrids under stress and non-stress environments
Evaluation of maize varieties under multiple environments, including drought and low nitrogen (N) stressed sites is an important breeding approach, to identify well adapted and stable maize varieties. This study was undertaken to identify new quality protein maize (QPM) hybrids that have good agronomic performance and assess the presence of genotype by environment (G × E) interaction and grain yield stability of QPM hybrids under different environment conditions. Forty-five hybrids, including two QPM, two non-QPM and one local check were evaluated across 34 environments under stress and non-stress conditions in Ethiopia, Zimbabwe, Zambia, Mozambique, and Malawi during 2018 to 2020. Additive Main Effects and Multiplicative Interaction (AMMI) and Genotype main effects plus G × E interaction (GGE) bi-plots were used for stability analysis. Environment, genotype and G × E interaction effects were significant for grain yield and other traits in all management conditions. The top yielding hybrids were 44 (QS7646) 12 (CZH15099Q) under optimum; 14 (CZH15142Q), 44 (QS7646) and 23 (CZH17192Q) under random stress; 9 (CZH142237Q) and 10 (CZH142238Q) under managed drought; and 14 (CZH15142Q) and 34 (CZH17203Q) under low N conditions. Among these, 10 (CZH142238Q) and 14 (CZH15142Q) were the most stable hybrids and can be recommended for release in sub-Saharan Africa to improve food and nutritional security of smallholder farmers who depend on maize. Kwekwe (KWE), Bindura (BIN), Chokwe (CHO) and Bako (BK2) were identified as the most discriminating and representative for optimum, random stress, managed drought and low N environments, respectively and help to identify superior hybrids.
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Informa Healthcare
2024
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Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, Additive Main-Effects and Multiplicative Interactions, GGE Biplot Analysis, Grain Yield, Quality Protein Maize, AGRICULTURE, ENVIRONMENTAL SCIENCES, ADDITIVE EFFECT, FOOD ADDITIVES, GENOTYPE ENVIRONMENT INTERACTION, GRAIN, YIELDS, PROTEIN QUALITY, MAIZE, SOIL SCIENCES, Maize, |
Online Access: | https://hdl.handle.net/10883/23125 |
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dig-cimmyt-10883-231252024-04-13T09:00:23Z Genotype × environment interaction and grain yield stability of quality protein maize hybrids under stress and non-stress environments Bitew Tilahun Engida Amsal Tesfaye Tarekegne Dagne Wegary Gissa van Biljon, A. Labuschagne, M. AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Additive Main-Effects and Multiplicative Interactions GGE Biplot Analysis Grain Yield Quality Protein Maize AGRICULTURE ENVIRONMENTAL SCIENCES ADDITIVE EFFECT FOOD ADDITIVES GENOTYPE ENVIRONMENT INTERACTION GRAIN YIELDS PROTEIN QUALITY MAIZE SOIL SCIENCES Maize Evaluation of maize varieties under multiple environments, including drought and low nitrogen (N) stressed sites is an important breeding approach, to identify well adapted and stable maize varieties. This study was undertaken to identify new quality protein maize (QPM) hybrids that have good agronomic performance and assess the presence of genotype by environment (G × E) interaction and grain yield stability of QPM hybrids under different environment conditions. Forty-five hybrids, including two QPM, two non-QPM and one local check were evaluated across 34 environments under stress and non-stress conditions in Ethiopia, Zimbabwe, Zambia, Mozambique, and Malawi during 2018 to 2020. Additive Main Effects and Multiplicative Interaction (AMMI) and Genotype main effects plus G × E interaction (GGE) bi-plots were used for stability analysis. Environment, genotype and G × E interaction effects were significant for grain yield and other traits in all management conditions. The top yielding hybrids were 44 (QS7646) 12 (CZH15099Q) under optimum; 14 (CZH15142Q), 44 (QS7646) and 23 (CZH17192Q) under random stress; 9 (CZH142237Q) and 10 (CZH142238Q) under managed drought; and 14 (CZH15142Q) and 34 (CZH17203Q) under low N conditions. Among these, 10 (CZH142238Q) and 14 (CZH15142Q) were the most stable hybrids and can be recommended for release in sub-Saharan Africa to improve food and nutritional security of smallholder farmers who depend on maize. Kwekwe (KWE), Bindura (BIN), Chokwe (CHO) and Bako (BK2) were identified as the most discriminating and representative for optimum, random stress, managed drought and low N environments, respectively and help to identify superior hybrids. 2024-04-12T00:05:17Z 2024-04-12T00:05:17Z 2024 Article Published Version https://hdl.handle.net/10883/23125 10.1080/23311932.2024.2324537 English CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose Open Access Spain United Kingdom Informa Healthcare 1 10 2331-1932 Cogent Food and Agriculture 2324537 |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Additive Main-Effects and Multiplicative Interactions GGE Biplot Analysis Grain Yield Quality Protein Maize AGRICULTURE ENVIRONMENTAL SCIENCES ADDITIVE EFFECT FOOD ADDITIVES GENOTYPE ENVIRONMENT INTERACTION GRAIN YIELDS PROTEIN QUALITY MAIZE SOIL SCIENCES Maize AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Additive Main-Effects and Multiplicative Interactions GGE Biplot Analysis Grain Yield Quality Protein Maize AGRICULTURE ENVIRONMENTAL SCIENCES ADDITIVE EFFECT FOOD ADDITIVES GENOTYPE ENVIRONMENT INTERACTION GRAIN YIELDS PROTEIN QUALITY MAIZE SOIL SCIENCES Maize |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Additive Main-Effects and Multiplicative Interactions GGE Biplot Analysis Grain Yield Quality Protein Maize AGRICULTURE ENVIRONMENTAL SCIENCES ADDITIVE EFFECT FOOD ADDITIVES GENOTYPE ENVIRONMENT INTERACTION GRAIN YIELDS PROTEIN QUALITY MAIZE SOIL SCIENCES Maize AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Additive Main-Effects and Multiplicative Interactions GGE Biplot Analysis Grain Yield Quality Protein Maize AGRICULTURE ENVIRONMENTAL SCIENCES ADDITIVE EFFECT FOOD ADDITIVES GENOTYPE ENVIRONMENT INTERACTION GRAIN YIELDS PROTEIN QUALITY MAIZE SOIL SCIENCES Maize Bitew Tilahun Engida Amsal Tesfaye Tarekegne Dagne Wegary Gissa van Biljon, A. Labuschagne, M. Genotype × environment interaction and grain yield stability of quality protein maize hybrids under stress and non-stress environments |
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Evaluation of maize varieties under multiple environments, including drought and low nitrogen (N) stressed sites is an important breeding approach, to identify well adapted and stable maize varieties. This study was undertaken to identify new quality protein maize (QPM) hybrids that have good agronomic performance and assess the presence of genotype by environment (G × E) interaction and grain yield stability of QPM hybrids under different environment conditions. Forty-five hybrids, including two QPM, two non-QPM and one local check were evaluated across 34 environments under stress and non-stress conditions in Ethiopia, Zimbabwe, Zambia, Mozambique, and Malawi during 2018 to 2020. Additive Main Effects and Multiplicative Interaction (AMMI) and Genotype main effects plus G × E interaction (GGE) bi-plots were used for stability analysis. Environment, genotype and G × E interaction effects were significant for grain yield and other traits in all management conditions. The top yielding hybrids were 44 (QS7646) 12 (CZH15099Q) under optimum; 14 (CZH15142Q), 44 (QS7646) and 23 (CZH17192Q) under random stress; 9 (CZH142237Q) and 10 (CZH142238Q) under managed drought; and 14 (CZH15142Q) and 34 (CZH17203Q) under low N conditions. Among these, 10 (CZH142238Q) and 14 (CZH15142Q) were the most stable hybrids and can be recommended for release in sub-Saharan Africa to improve food and nutritional security of smallholder farmers who depend on maize. Kwekwe (KWE), Bindura (BIN), Chokwe (CHO) and Bako (BK2) were identified as the most discriminating and representative for optimum, random stress, managed drought and low N environments, respectively and help to identify superior hybrids. |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Additive Main-Effects and Multiplicative Interactions GGE Biplot Analysis Grain Yield Quality Protein Maize AGRICULTURE ENVIRONMENTAL SCIENCES ADDITIVE EFFECT FOOD ADDITIVES GENOTYPE ENVIRONMENT INTERACTION GRAIN YIELDS PROTEIN QUALITY MAIZE SOIL SCIENCES Maize |
author |
Bitew Tilahun Engida Amsal Tesfaye Tarekegne Dagne Wegary Gissa van Biljon, A. Labuschagne, M. |
author_facet |
Bitew Tilahun Engida Amsal Tesfaye Tarekegne Dagne Wegary Gissa van Biljon, A. Labuschagne, M. |
author_sort |
Bitew Tilahun Engida |
title |
Genotype × environment interaction and grain yield stability of quality protein maize hybrids under stress and non-stress environments |
title_short |
Genotype × environment interaction and grain yield stability of quality protein maize hybrids under stress and non-stress environments |
title_full |
Genotype × environment interaction and grain yield stability of quality protein maize hybrids under stress and non-stress environments |
title_fullStr |
Genotype × environment interaction and grain yield stability of quality protein maize hybrids under stress and non-stress environments |
title_full_unstemmed |
Genotype × environment interaction and grain yield stability of quality protein maize hybrids under stress and non-stress environments |
title_sort |
genotype × environment interaction and grain yield stability of quality protein maize hybrids under stress and non-stress environments |
publisher |
Informa Healthcare |
publishDate |
2024 |
url |
https://hdl.handle.net/10883/23125 |
work_keys_str_mv |
AT bitewtilahunengida genotypeenvironmentinteractionandgrainyieldstabilityofqualityproteinmaizehybridsunderstressandnonstressenvironments AT amsaltesfayetarekegne genotypeenvironmentinteractionandgrainyieldstabilityofqualityproteinmaizehybridsunderstressandnonstressenvironments AT dagnewegarygissa genotypeenvironmentinteractionandgrainyieldstabilityofqualityproteinmaizehybridsunderstressandnonstressenvironments AT vanbiljona genotypeenvironmentinteractionandgrainyieldstabilityofqualityproteinmaizehybridsunderstressandnonstressenvironments AT labuschagnem genotypeenvironmentinteractionandgrainyieldstabilityofqualityproteinmaizehybridsunderstressandnonstressenvironments |
_version_ |
1798165277472456704 |