Identification of Promising Groundnut Genotypes Using Stability Analysis
Identification of Promising Groundnut Genotypes Using Stability Analysis
Saleem Abid1* and Muhammad Jahanzaib2
ABSTRACT
Nine groundnut genotypes were studied for their stability analysis under national uniform yield trials in different agro-climatic zones of Pakistan. The combined variance effects (Anova) based on AMMI model confirmed significant differences (P<0.01) among genotypes, environments, and the genotype by environmental (G x E) interactions. The environmental factors explained 81.29% of the total yield variation. Environment variations proved to be the main factor influencing the performance of groundnut-genotypes in most of the locations where the study was conducted. The initial two components (IPCA1 and IPCA2) clarified 83.2% of the variance because of genotype and GxE interactions. The interaction principal component axis scores of a genotype good indicators of a genotype stability across environments. Various stability methods were used for stable genotypes identification across environments. According to different stability measures groundnut genotype 11AK011 turned out to be the most stable entry as revealed by Wricke’s ecovalence, mean square deviation, coefficient of determination, Shukla’s stability variance and coefficient of variation. The GGE biplot analysis also confirmed that 11AK011 groundnut genotype and can be considered as adaptable to the environments of the experimental sites.
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