Genetic variability, Genotype × Environment interaction for grain yield of wheat (Triticum aestivum) backcross inbred lines population under different moisture regimes

SHASHIKUMARA P; HARIKRISHNA HARIKRISHNA; NEELU JAIN; NIVEDITA SINHA; DIVYA CHAUHAN; RAHUL M PHUKE; DIVYA AMBATI; J B SINGH; S V SAI PRASAD; G P SINGH; K V PRABHU; P K SINGH

doi:10.56093/ijas.v90i9.106595

Authors

SHASHIKUMARA P Scientist and corresponding author, ICAR- Indian Grassland and Fodder Research Institute, Jhansi 284 003
HARIKRISHNA HARIKRISHNA Scientist, Division of Genetics, ICAR-IARI, New Delhi 110 012
NEELU JAIN ICAR- Indian Grassland and Fodder Research Institute, Jhansi 284 003
NIVEDITA SINHA ICAR- Indian Grassland and Fodder Research Institute, Jhansi 284 003
DIVYA CHAUHAN ICAR- Indian Grassland and Fodder Research Institute, Jhansi 284 003
RAHUL M PHUKE Scientist, ICAR-IARI, Regional Station, Indore 452 001
DIVYA AMBATI Scientist, ICAR-IARI, Regional Station, Indore 452 001
J B SINGH ICAR- Indian Grassland and Fodder Research Institute, Jhansi 284 003
S V SAI PRASAD ICAR- Indian Grassland and Fodder Research Institute, Jhansi 284 003
G P SINGH Director, ICAR-IIWBR, Karnal 132 001
K V PRABHU Chairperson, Protection of Plant Varieties and Farmers’ Rights Authority, India
P K SINGH ICAR- Indian Grassland and Fodder Research Institute, Jhansi 284 003

https://doi.org/10.56093/ijas.v90i9.106595

Keywords:

Drought, GGE biplot, Ideal genotype, Physiological traits, Yield stability

Abstract

Drought stress is well known phenomenon that affects the productivity of wheat (Triticum aestivum L). Knowledge on genetic variation, genotype × environment interaction and association between physiological and yield component traits is crucial for the development of improved varieties having high yield and water use efficiency. The present study consists of 280 backcross inbred lines (BILs) population evaluated for grain yield and morpho-physiological traits for two years at three locations. Combined ANOVA unfolded significant variability among traits in BILs population for yield and morpho-physiological traits.Grain yield showed significant association with normalized difference vegetation index (NDVI), soil plant analysis development (SPAD), thousand grain weight (TGW), and canopy temperature (CT). The genotype, environment and genotype ×environment interaction for yield was highly significant (p< 0.01). ASV (AMMI stability value) was calculated and top 29 genotypes were selected and further analyzed with AMMI and GGE biplot analysis for dissecting out genotype × environment interaction. The results classified genotypes G82, G202, G234, G263, G6, G192 and G77 are most stable and high yielding genotypes.

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