International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Special Issue 4, Part J

Nonparametric approaches for the study of G×E interaction of pearl millet genotypes


Author(s): Alok Shrivastava, SB Kanzariya, YA Garde, Nitin Varshney and KG Modha

Abstract:
Analysis of multi-environment trials (METs) of crops for cultivar evaluation and recommendation is an important issue in plant breeding research. Evaluating both stability of performance and high yield is essential in MET analyses. The promising pearl millets genotypes were grown in different agroecological regions of Gujarat state to study their adaptability to varying climatic and soil conditions. Yield data of 23 pearl millets genotypes grown at Amreli, Anand, Dhari and Talaja locations during Kharif 2018 were collected. The result of the combined or pooled ANOVA revealed that genotype, environment and genotype-environment interaction were highly significant. Significant genotypic variance indicated genetic diversity among genotypes yield. Further, the results of non-parametric stability analysis indicated that the genotype G23 had the lowest value of Si(1) and had higher grain yield as compared to overall mean grain yield thus genotype G23 were found to be more stable over location while G21 has been found to be highly unstable genotype. According to Si(6), G10 was found to be the most stable genotype.


Pages: 734-739 | Views: 224 | Downloads: 8

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Alok Shrivastava, SB Kanzariya, YA Garde, Nitin Varshney, KG Modha. Nonparametric approaches for the study of G×E interaction of pearl millet genotypes. Int J Stat Appl Math 2023;8(4S):734-739.

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