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2023, Vol. 8, Special Issue 4

Assessing diverse cotton germplasm through genetic evaluation and AMMI analysis


Author(s): Alok Shrivastava, Dhruv Chitriya, YA Garde, Nitin Varshney, KG Modha, HE Patil and Pravinsinh Parmar

Abstract: The multi-environment trials (MET) were conducted at various locations of AICRP centers of cotton in 2019-20. In cotton (Gossypium hirsutum L.), MET was carried out in different five environments with twenty-two different genotypes for selecting the best genotype and environment. In a simple ANOVA analysis, the genotypes were found significantly different from each other in all five environments. Also, there was significant interaction found in G×E interaction for seed cotton yield. In AMMI analysis, principal component 1 (PC1) expressed about 51.5% of the variation and it was found significant, while PC2 was not found significant so only PC1 was taken under study. Among all the tested genotypes, the genotype GTHV-13/39 (G20) was recorded as the highest yielding genotype and the most stable genotype was GN. Cot. 22 (CC) (G21). But the most ideal genotype was GBHV-203 (G18) in seed cotton yield as well as stability performance in all five environments. Within these five environments, Talod (E3) was observed as the highest yielding environment. The Achhalia (E5) was found as the most stable environment among this environment for seed cotton yield. Thus, our studies suggest that AMMI model is also useful for estimating adaptability of traits other than yield utilized for breeding cotton cultivars.

Pages: 814-819 | Views: 151 | Downloads: 6

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How to cite this article:
Alok Shrivastava, Dhruv Chitriya, YA Garde, Nitin Varshney, KG Modha, HE Patil, Pravinsinh Parmar. Assessing diverse cotton germplasm through genetic evaluation and AMMI analysis. Int J Stat Appl Math 2023;8(4S):814-819.

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