Scholarlink

<p>Hybrids are the most prospective plant types in cotton. To this end, heterosis breeding programs have developed hybrids and exploited high heterotic effects, which provide superior genetic combinations and segregating populations on generation advancement. The objectives of this study were to identify the parents with high GCA and hybrids with high SCA, interpret combining ability from biplots and seek notable conclusive results from heterosis, per se performance and a combination of biplot and numerical diallel approaches. The experiment aimed to evaluate ten parents and ninety F<sub>1</sub> hybrids obtained by diallel crossing for seed cotton yield (SCY) and yield-attributing traits. Analysis of variance, diallel analysis, correlation and multiple-regression analyses were performed, which pointed out the major yield contributing and predictor traits, number of bolls per plant (NBP) and boll weight per plant (BW). Most of the traits exhibited lower GCA/SCA ratios, thereby indicating the preponderance of non-additive gene action. A significantly positive correlation was found between SCY and NBP in both parental and hybrid populations with r = 0.79 and r = 0.70, respectively. Stepwise multiple regression further aided in eliminating variables and generating a regression equation (R<sup>2</sup> = 0.654) with only the variables that are most potent for predicting the dependent variable, SCY. Biplot analyses were conducted for these trait variables (NBP and BW) along with SCY. From the integrated biplot and numerical diallel analyses, the genotypes ESS-12, GBHV-200, ESS-5 and CPD-1652 were found to exhibit high GCA for SCY, NBP and BW. The hybrids GBHV-200 × CPD-1652 and RAH-1075 × ESS-12 could be identified as the best hybrids as a result of the combined study. The study provides a more comprehensive analysis of a large dataset generated from diallel analyses. Also, when biplots are combined with the numerical approach, it provides more robust results and aids in the selection of hybrids and parents with better performance and combining abilities.</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

Comprehensive hybrid evaluation: integrating diallel analysis and biplot techniques for genetic insights on intra-hirsutum cotton hybrids

  • 期刊论文

  • 发表日期：

    2025年5月8日

查看全文
  • Puja Mandal,
  • Rajesh S. Patil

摘要

Hybrids are the most prospective plant types in cotton. To this end, heterosis breeding programs have developed hybrids and exploited high heterotic effects, which provide superior genetic combinations and segregating populations on generation advancement. The objectives of this study were to identify the parents with high GCA and hybrids with high SCA, interpret combining ability from biplots and seek notable conclusive results from heterosis, per se performance and a combination of biplot and numerical diallel approaches. The experiment aimed to evaluate ten parents and ninety F1 hybrids obtained by diallel crossing for seed cotton yield (SCY) and yield-attributing traits. Analysis of variance, diallel analysis, correlation and multiple-regression analyses were performed, which pointed out the major yield contributing and predictor traits, number of bolls per plant (NBP) and boll weight per plant (BW). Most of the traits exhibited lower GCA/SCA ratios, thereby indicating the preponderance of non-additive gene action. A significantly positive correlation was found between SCY and NBP in both parental and hybrid populations with r = 0.79 and r = 0.70, respectively. Stepwise multiple regression further aided in eliminating variables and generating a regression equation (R2 = 0.654) with only the variables that are most potent for predicting the dependent variable, SCY. Biplot analyses were conducted for these trait variables (NBP and BW) along with SCY. From the integrated biplot and numerical diallel analyses, the genotypes ESS-12, GBHV-200, ESS-5 and CPD-1652 were found to exhibit high GCA for SCY, NBP and BW. The hybrids GBHV-200 × CPD-1652 and RAH-1075 × ESS-12 could be identified as the best hybrids as a result of the combined study. The study provides a more comprehensive analysis of a large dataset generated from diallel analyses. Also, when biplots are combined with the numerical approach, it provides more robust results and aids in the selection of hybrids and parents with better performance and combining abilities.