Genetic stability analysis of early maturing pigeonpea genotypes using AMMI and WAASB models

In the present study, 27 early maturing pigeonpea genotypes were evaluated over multi-locations for yielding potential and analyzed using analysis of variance (ANOVA), additive main effect and multiplicative interaction (AMMI) model and Weighted Average of Absolute Scores (WAASB) models. ANOVA displayed significant variation among genotypes, environments and genotype-environment interaction. AMMI models further explained the main and interaction effects with PC1 and PC2 covering 81.8% and 18.2% variance, respectively. AMMI biplots and WAASB matrix denoted ICP 14444, ICP 8817 and ICP 11890 to be potential early maturing, high yielding stable lines across the tested locations. Warangal and Kanpur noted to be the best environments with least and highest discriminating ability respectively. ICP 11543, ICP 16309, ICP 6992 were identified as best-fit cultivars for Patancheru, Warangal and Kanpur, respectively.

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Publication Details

Journal
Journal of Food Legumes
Published
2024-10-19
DOI
https://doi.org/10.59797/jfl.v37.i3.204
Primary Topic
Genetics and Plant Breeding
Type
article
Field-Weighted Citation Impact
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article

Genetic stability analysis of early maturing pigeonpea genotypes using AMMI and WAASB models

Prakash Gangashetty, Mamta Sharma, Sobhan B. Sajja, C Sameer Kumar et al.
Journal of Food Legumes
Genetics and Plant Breeding
article

Genetic stability analysis of early maturing pigeonpea genotypes using AMMI and WAASB models

Prakash Gangashetty, Mamta Sharma, Sobhan B. Sajja, C Sameer Kumar, Jwala Pranati, Manish K. Pandey
article en

Abstract

In the present study, 27 early maturing pigeonpea genotypes were evaluated over multi-locations for yielding potential and analyzed using analysis of variance (ANOVA), additive main effect and multiplicative interaction (AMMI) model and Weighted Average of Absolute Scores (WAASB) models. ANOVA displayed significant variation among genotypes, environments and genotype-environment interaction. AMMI models further explained the main and interaction effects with PC1 and PC2 covering 81.8% and 18.2% variance, respectively. AMMI biplots and WAASB matrix denoted ICP 14444, ICP 8817 and ICP 11890 to be potential early maturing, high yielding stable lines across the tested locations. Warangal and Kanpur noted to be the best environments with least and highest discriminating ability respectively. ICP 11543, ICP 16309, ICP 6992 were identified as best-fit cultivars for Patancheru, Warangal and Kanpur, respectively.

Journal of Food LegumesVol. 37(3)
Professor Jayashankar Telangana Agricultural University (IN), International Crops Research Institute for the Semi-Arid Tropics (IN)
Openalex Percentile: Top 90%
Genetics and Plant Breeding
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