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Abstract

Drought is a major and constantly increasing abiotic stress factor, thus limiting chickpea production. Like other crops, Kabuli Chickpea genotypes are screened for drought stress through Multi-environment trials (METs). Although, METs analysis is generally executed taking into account only one trait, which provides less significant reliability for the recommendation of genotypes as compared to multi trait-based analysis. Multi trait-based analysis could be used to recommend genotypes across diverse environments. Hence, current research was conducted for selection of superior genotypes through multi-trait stability index (MTSI) by using mixed and fixed effect models under six diverse environments. The genotypic stability was computed for all traits individually using the weighted average of absolute scores from the singular value decomposition of the matrix of best linear unbiased predictions for the genotype vs environment interaction (GEI) effects produced by a linear mixed-effect model index. A superiority index, WAASBY was measured to reflect the MPS (Mean performance and stability). The selection differential for the WAASBY index was 11.2%, 18.49% and 23.30% for grain yield (GY), primary branches per plant (PBP) and Stomatal Conductance (STOMA) respectively. Positive selection differential (0.80% < selection differential < 13.00%) were examined for traits averaged desired to be increased and negative (-0.57% < selection differential

Keywords

Multi-environment trials; Multi-trait stability index; Best Non-Impartial Linear Forecast; Drought; Chickpea

Published in

Saudi Journal of Biological Sciences
2021, volume: 28, number: 12, pages: 6818-6828
Publisher: ELSEVIER

SLU Authors

  • Ahmed, Mukhtar

    • Arid Agriculture University
    • Department of Agricultural Research for Northern Sweden, Swedish University of Agricultural Sciences

UKÄ Subject classification

Agricultural Science

Publication identifier

  • DOI: https://doi.org/10.1016/j.sjbs.2021.07.056

Permanent link to this page (URI)

https://res.slu.se/id/publ/114526