Premium
Genotype × Environment Interaction of Maize Grain Yield Using AMMI Biplots
Author(s) -
Ndhlela Thokozile,
Herselman Liezel,
Magorokosho Cosmos,
Setimela Peter,
Mutimaamba Charles,
Labuschagne Maryke
Publication year - 2014
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/cropsci2013.07.0448
Subject(s) - biplot , ammi , biology , gene–environment interaction , hybrid , adaptability , agronomy , cultivar , crop , grain yield , microbiology and biotechnology , interaction , main effect , yield (engineering) , agriculture , diallel cross , genotype , mathematics , ecology , statistics , genetics , materials science , gene , metallurgy
Maize ( Zea mays ) is the most important cereal crop in Zimbabwe and is grown by both large‐ and small‐scale farmers who are located in different agro‐ecological zones of the country. The development and dissemination of adapted and high‐yielding maize cultivars to these agro‐ecological zones involves conducting multi‐environment trials (METs). This study was conducted with the objectives of i) understanding complex G × E interaction and stability of single cross hybrids generated using CIMMYT elite drought tolerant lines and Department of Research and Specialist Services (DR&SS) elite drought susceptible lines for grain yield across stress and nonstress environments and ii) to identify genotypes to recommend for further use in the breeding program. Initially, yield data of 80 maize single cross hybrids tested across seven environments during the 2009 to 2010 and 2010 to 2011 seasons were analyzed using the additive main effects and multiplicative interaction (AMMI) biplot method. The analysis was further done for 20 best performing genotypes to facilitate less congested graphical presentation. Combined analysis of variance showed highly significant differences for the G × E interaction, indicating the possibility of selection for stable genotypes. The five AMMI interaction principal component analyses (IPCAs; IPCA1, IPCA2, IPCA3, IPCA4, and IPCA5) explained 82.41% of the variation and they were highly significant. The results showed three genotypes with high yield performance and broad adaptability whilst narrow adaptations were also observed. Agricultural Research Trust Farm was the most powerful site in discriminating among genotypes and the most representative environment.