Premium
Genotype × Environment Interaction of Quality Protein Maize Hybrids under Contrasting Management Conditions in Eastern and Southern Africa
Author(s) -
Mebratu Addisalem,
Wegary Dagne,
Mohammed Wassu,
Teklewold Adefris,
Tarekegne Amsal
Publication year - 2019
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci2018.12.0722
Subject(s) - ammi , hybrid , biplot , biology , agronomy , gene–environment interaction , grain quality , yield gap , yield (engineering) , grain yield , microbiology and biotechnology , abiotic component , agriculture , genotype , crop yield , ecology , genetics , gene , materials science , metallurgy
Drought and low soil fertility are major abiotic stresses limiting yield of maize ( Zea mays L.) in eastern and southern Africa. The present study was undertaken to determine genotype by environment interaction (GEI) and grain yield stability of quality protein maize (QPM) experimental hybrids. A total of 108 hybrids, including two commercial checks, were tested across 13 environments under drought, low N, and optimal environments in Ethiopia, Zambia, and Zimbabwe in 2015 and 2016. Environment, hybrid, and hybrid × environment interaction effects were significant ( P < 0.01) across environments and within management conditions. The highest yielding hybrids were H40, H41, H56, and H58 under optimum management; H2, H9, H40, and H87 under low N; H3, H10, H11, and H94 under drought; and H9, H10, H40, H56, and H94 across environments. The GEI and grain yield stability analysis using different models indicated that additive main effects and multiplicative interaction (AMMI), and genotypic main effects plus GEI (GGE) models were more efficient and precise compared to the linear regression stability model in identifying high‐yielding hybrids with stable performance. Based on the AMMI and GGE biplots, the most promising QPM hybrids were identified under different management conditions. Hybrid H40 was the most outstanding genotype under various management conditions and could be used in breeding programs or commercialized in target areas. Gwebi optimum and Bako low N were identified as the most discriminating and representative environments under the contrasting management conditions. In general, results of the present study depicted the possibility of developing high‐yielding and stable QPM hybrids for stress and nonstress conditions.