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 ASOS INDEKS
  Citation Number 2
 Views 14
Deciphering Genotype×Environment Interaction by AMMI and GGE Biplot Analysis Among Elite Wheat (Triticum aestivum L.) Genotypes of Himalayan Region
2022
Journal:  
Ekin, Journal of Crop Breeding and Genetics
Author:  
Abstract:

To determine yield stability and the effects of the interaction between the genotype and the environment, 101 wheat genotypes were assessed over 2 years (2018-2020). The experiments were performed at different diverse locations in Kashmir traversing a significant altitudinal range viz. Khudwani (34.38°N of latitude and 77.0°E of longitude) and Wadura (34.52°N of latitude and 74.52°E of longitude) following recommended agronomical practices. Analysis of the main additive effect and multiplicative interaction (AMMI) of the seed yield variance revealed a significant genotype, environmental and genotype × environment interaction effect at p< 0.01% probability level. Three main principal components based on AMMI explained most of the variation due to genotype × environment interaction at p<0.01% probability level. The GGE biplot indicated that two mega-environments were present. The first section (large environment) contains the KH18 and WA18 test environments with genotypes G2, G38, and G16 with the highest yield (winner), the second section (large environment) contains KH19 and genotypes G28, G19 and G3, KH19 and WA18 WA19 environment included. as a winner. Plots of mean versus stability show that the genotypes exhibiting both high mean yield and stability scores at the test sites are G2, G50, G26, G80, and G1. Hence, the above identified genotypes with superior yield and other desirable attributes can be recommended as generally adapted or niche specific genotypes for broad and specific areas, respectively.

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2022
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