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.
| Principais autores: | , , , , |
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| Formato: | Atigo biblioteca |
| Idioma: | English |
| Publicado em: |
Informa Healthcare
2024
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| Assuntos: | 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, |
| Acesso em linha: | https://hdl.handle.net/10883/23125 |
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