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<p>Genotype × environment interaction was observed when phenotypic behaviour of genotypes varied across different environments. It is difficult for a breeder in field pea to select genotypes that have high yield and stability among the parameters. Thus, the study was conducted across six environments during <i>Rabi</i> season in two districts (Ludhiana and Gurdaspur) of the state Punjab, India using GGE biplot method. Analysis of variance revealed significant differences for all parameters indicating genetic variability present within these accessions and influence of environment except for number of primary branches per plant. Nine different morphological parameters were studied through graphical representation. Among all environments E5 was the most discriminative environment that can be best used for testing various accessions. Whereas, E3 was most representative, reflecting mean conditions of all other test environments. The most ideal accessions with better performance and adaptability were G63 (201.0&#xa0;g/plot) followed by G11 (196.6&#xa0;g/plot) and G6 (184.4&#xa0;g/plot). Thus, these can be recommended for future breeding programme, providing that these are stable and high yielding accessions of field pea tested in multi-environment trial.</p>

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GGE biplot analysis for yield and yield-related traits in field pea (Pisum sativum L.)

  • 期刊论文

  • 发表日期：

    2026年2月16日

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  • Neethu Thomas,
  • Manavpreet Singh,
  • Usha Nara,
  • Sunil Kashyap,
  • Balwinder Singh Gill,
  • Manjeet Kaur Sangha,
  • Priti Sharma,
  • Shilpa Gupta,
  • Pritpal Singh

摘要

Genotype × environment interaction was observed when phenotypic behaviour of genotypes varied across different environments. It is difficult for a breeder in field pea to select genotypes that have high yield and stability among the parameters. Thus, the study was conducted across six environments during Rabi season in two districts (Ludhiana and Gurdaspur) of the state Punjab, India using GGE biplot method. Analysis of variance revealed significant differences for all parameters indicating genetic variability present within these accessions and influence of environment except for number of primary branches per plant. Nine different morphological parameters were studied through graphical representation. Among all environments E5 was the most discriminative environment that can be best used for testing various accessions. Whereas, E3 was most representative, reflecting mean conditions of all other test environments. The most ideal accessions with better performance and adaptability were G63 (201.0 g/plot) followed by G11 (196.6 g/plot) and G6 (184.4 g/plot). Thus, these can be recommended for future breeding programme, providing that these are stable and high yielding accessions of field pea tested in multi-environment trial.