Scholarlink

<p>The present investigation aimed to assess genetic variability and yield-related traits among diverse urdbean (<i>Vigna mungo</i> L. Hepper) genotypes grown under the subtropical conditions of the Jammu region. A set of genotypes was evaluated for key agro-morphological and seed yield traits using standard statistical approaches, including variability estimates, correlation analysis, principal component analysis, and multivariate clustering. Considerable variation was observed among the genotypes for most of the studied traits, indicating substantial scope for genetic improvement. Seed yield exhibited strong associations with several component traits, highlighting their importance in selection strategies. Multivariate analysis revealed that a limited number of traits accounted for the majority of genetic divergence among the genotypes. Overall, the study identified promising genotypes and trait combinations that can be effectively exploited in urdbean breeding programs aimed at improving yield performance under similar agro-ecological conditions.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Characterization of urdbean genotypes for agro-morphological and seed yield traits in Jammu region

  • 期刊论文

  • 发表日期：

    2026年6月15日

查看全文
  • Sonali Rajput,
  • Anjani Kumar Singh,
  • Sanjeev Kumar,
  • Vishal Raina,
  • Amrish Vaid,
  • Praveen Singh

摘要

The present investigation aimed to assess genetic variability and yield-related traits among diverse urdbean (Vigna mungo L. Hepper) genotypes grown under the subtropical conditions of the Jammu region. A set of genotypes was evaluated for key agro-morphological and seed yield traits using standard statistical approaches, including variability estimates, correlation analysis, principal component analysis, and multivariate clustering. Considerable variation was observed among the genotypes for most of the studied traits, indicating substantial scope for genetic improvement. Seed yield exhibited strong associations with several component traits, highlighting their importance in selection strategies. Multivariate analysis revealed that a limited number of traits accounted for the majority of genetic divergence among the genotypes. Overall, the study identified promising genotypes and trait combinations that can be effectively exploited in urdbean breeding programs aimed at improving yield performance under similar agro-ecological conditions.