Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models
Autor: | G. P. Singh, Pradeep Kumar, R. Sendhil, Arun Gupta, BS Tyagi, Charan Singh, Vikas Gupta, Ravish Chatrath, Gyanendra Singh |
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Rok vydání: | 2019 |
Předmět: | |
Zdroj: | Crop Breeding and Applied Biotechnology v.19 n.3 2019 Crop Breeding and Applied Biotechnology Sociedade Brasileira de Melhoramento de Plantas instacron:CBAB Crop Breeding and Applied Biotechnology, Volume: 19, Issue: 3, Pages: 309-318, Published: 31 OCT 2019 |
ISSN: | 1984-7033 1518-7853 |
DOI: | 10.1590/1984-70332019v19n3a43 |
Popis: | Fifty wheat genotypes were evaluated at nine diverse locations in India to identify high-yielding and stable genotypes. The analysis of variance based on additive main effects and multiplicative interaction (AMMI) indicated significant genotype, environment and genotype - environment (GE) interactions, with a total variation of 5.99, 20.23 and 73.77%, respectively. A biplot-AMMI analysis and yield stability index incorporating the AMMI stability value and yield in a single non-parametric index were used to discriminate the genotypes with highest and stable yield; the genotypes G135, G125, G104, G112 and G144 were found to be promising. Two mega environments (ME) were identified based on GGE (genotype and GE interaction) biplot analysis and the genotypes G119 and G120 and G107, G148 and G146 performed best in the mega-environments ME I and ME II, respectively. Both approaches allowed the identification of stable genotypes (G112 and G135), which can be included in the national testing program, with a view to release a new variety. |
Databáze: | OpenAIRE |
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