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<p>Black gram is among the most ancient and important legume crop of India, yet productivity remains low due to poor harvest index, lack of genetic variability, its susceptibility to biotic and abiotic stresses. Hence, this study aimed to assess 203 elite black gram genotypes for variability, trait associations, diversity and select superior genotypes based on ideotype using multi-trait genotype-ideotype distance index. Analysis of variance revealed significant differences for all traits studied. High phenotypic and genotypic variation, coupled with high heritability and genetic advance, were observed for pods per plant, biological yield per plant and seed yield per plant, indicating substantial scope of genetic improvement. Correlation and path coefficients analyses identified biological yield per plant and pods per plant as the most important traits associated with seed yield improvement. The MGIDI selected 30 superior genotypes at 15% selection intensity and predicted favourable gains for key yield components, including seeds per pod, 100-seed weight, pods bearing branches per plant, biological yield per plant and pods per plant. Integration of MGIDI, diversity analyses and disease screening identified genotypes G108, G2, G98, G196, G107, G190, G79 and G140 as promising parental lines for breeding programmes. As the study was conducted at a single location and season, the identified genotypes require further multi-environment validation before wider deployment.</p>

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MGIDI-guided multi-trait selection and diversity analysis of elite and minicore-derived blackgram genotypes in the North-Western Himalayas

  • 期刊论文

  • 发表日期：

    2026年7月11日

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  • Pramod Kumar Meghwal,
  • Uttam Chandel,
  • Nimit Kumar,
  • Vivek Singh,
  • Shorya Kapoor

摘要

Black gram is among the most ancient and important legume crop of India, yet productivity remains low due to poor harvest index, lack of genetic variability, its susceptibility to biotic and abiotic stresses. Hence, this study aimed to assess 203 elite black gram genotypes for variability, trait associations, diversity and select superior genotypes based on ideotype using multi-trait genotype-ideotype distance index. Analysis of variance revealed significant differences for all traits studied. High phenotypic and genotypic variation, coupled with high heritability and genetic advance, were observed for pods per plant, biological yield per plant and seed yield per plant, indicating substantial scope of genetic improvement. Correlation and path coefficients analyses identified biological yield per plant and pods per plant as the most important traits associated with seed yield improvement. The MGIDI selected 30 superior genotypes at 15% selection intensity and predicted favourable gains for key yield components, including seeds per pod, 100-seed weight, pods bearing branches per plant, biological yield per plant and pods per plant. Integration of MGIDI, diversity analyses and disease screening identified genotypes G108, G2, G98, G196, G107, G190, G79 and G140 as promising parental lines for breeding programmes. As the study was conducted at a single location and season, the identified genotypes require further multi-environment validation before wider deployment.