Identification of promising and stable genotypes of wheat (Triticum aestivum L.) for grain yield under varied climatic conditions of north-western Himalayas using joint regression analysis


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Authors

  • Priyanka Sharma CSK Himachal Pradesh Krishi Vishvavidyalya
  • Vijay Rana Principal Scientist (Genetics and Plant Breeding) CSK HPKV Palampur
  • Daisy Basandrai
  • Vinod Kumar Sood
  • Amit Rana

Keywords:

Grain yield, G×E interactions, Wheat genotypes, Stability

Abstract

The present investigation was undertaken to determine the stability of wheat genotypes for grain yield under varied environmental conditions prevalent in north- western Himalayas. A total of 66 genotypes including four checks were evaluated during three cropping seasons (Rabi 2019-20 to 2021-22). The stability was estimated using Eberhart and Russell model for six traits viz., days to 50% flowering, days to 75% maturity, flag leaf area (cm2), tillers per plant, biological yield, and grain yield per plant. The pooled analysis of variance showed differential behavior of genotypes over the environments. The most stable genotypes identified for days to 50% flowering, days to 75% maturity, flag leaf area (cm2), tillers per plant, biological yield and grain yield per plant were HPW 474 and TYRM 2. However, the promising and stable genotypes identified specifically for grain yield were TYRM2, HPW 474, HPW 368 and HD 2967. Thus, the genotypes found stable and well adapted to all the types of environments could be exploited as elite gene pool in future breeding programme, where aim is to develop high yielding  and  stable genotypes over  environments or could be further tested in multilocation trials to be released as a cultivar.

Author Biography

  • Vijay Rana, Principal Scientist (Genetics and Plant Breeding) CSK HPKV Palampur

    Principal Scientist

    Rice and Wheat Research Centre, Malan

    Department of Genetics and Plant Breeding CSK HPKV Palampur

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Submitted

2023-04-07

Published

2024-01-08

Issue

Section

Research Article

How to Cite

Identification of promising and stable genotypes of wheat (Triticum aestivum L.) for grain yield under varied climatic conditions of north-western Himalayas using joint regression analysis. (2024). Journal of Cereal Research, 15(2). https://epubs.icar.org.in/index.php/JWR/article/view/135184

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