<p>A comprehensive investigation was carried out to assess genetic variability, divergence, trait association and fertility restorer gene status among rice genotypes using multivariate and molecular approaches for effective parent selection in hybrid rice breeding. A total of 79 genotypes were evaluated during <i>Kharif</i> and <i>Rabi</i> seasons. Significant variability was observed for all quantitative traits, with high heritability coupled with high genetic advance for major yield components, suggesting the possible contribution of additive genetic effects and the potential effectiveness of direct phenotypic selection. Mahalanobis D² analysis classified the genotypes into five clusters, with the highest inter-cluster distances between clusters IV and V in Kharif and clusters II and V in Rabi, indicating substantial genetic divergence. Principal component analysis revealed that single plant yield, productive tillers, test weight and spikelet fertility contributed greatly to total variability and showed strong association with yield performance. Molecular screening using SSR markers linked to <i>Rf3</i> and <i>Rf4</i> genes revealed differential distribution of fertility restorer genes among the genotypes. Subsequent CMS-based testcross evaluation demonstrated that genotypes possessing both <i>Rf3</i> and <i>Rf4</i> generally exhibited superior fertility restoration ability. Among the evaluated genotypes, ANNA (R) 4, CBMAS 14,110, PNPG 114 and RDR-3608 combined desirable agronomic performance, genetic divergence and effective fertility restoration across different CMS backgrounds, indicating their potential utility as elite restorer lines in hybrid rice breeding programmes. The study highlights the effectiveness of integrating multivariate analysis, molecular marker screening and functional validation for precise identification of superior parental lines in rice hybrid breeding.</p>

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Integrated Analysis of Genetic Diversity, Trait Association and Fertility Restorer Genes (Rf3 and Rf4) in Rice

  • Arumugam Kalaivani,
  • Sivakami Rajeswari,
  • Swaminathan Manonmani,
  • Govindan Senthilkumar,
  • Natarajan Sritharan,
  • Sembanan Kokilavani

摘要

A comprehensive investigation was carried out to assess genetic variability, divergence, trait association and fertility restorer gene status among rice genotypes using multivariate and molecular approaches for effective parent selection in hybrid rice breeding. A total of 79 genotypes were evaluated during Kharif and Rabi seasons. Significant variability was observed for all quantitative traits, with high heritability coupled with high genetic advance for major yield components, suggesting the possible contribution of additive genetic effects and the potential effectiveness of direct phenotypic selection. Mahalanobis D² analysis classified the genotypes into five clusters, with the highest inter-cluster distances between clusters IV and V in Kharif and clusters II and V in Rabi, indicating substantial genetic divergence. Principal component analysis revealed that single plant yield, productive tillers, test weight and spikelet fertility contributed greatly to total variability and showed strong association with yield performance. Molecular screening using SSR markers linked to Rf3 and Rf4 genes revealed differential distribution of fertility restorer genes among the genotypes. Subsequent CMS-based testcross evaluation demonstrated that genotypes possessing both Rf3 and Rf4 generally exhibited superior fertility restoration ability. Among the evaluated genotypes, ANNA (R) 4, CBMAS 14,110, PNPG 114 and RDR-3608 combined desirable agronomic performance, genetic divergence and effective fertility restoration across different CMS backgrounds, indicating their potential utility as elite restorer lines in hybrid rice breeding programmes. The study highlights the effectiveness of integrating multivariate analysis, molecular marker screening and functional validation for precise identification of superior parental lines in rice hybrid breeding.