Evaluation of Fertility Restorer Genotypes Using Multivariate Statistical Methods

In this study, eight rice fertility restorer genotypes were systematically evaluated based on a set of key morphological and agronomic characteristics. The primary aim was to identify superior restorer lines that could be effectively utilized in hybrid rice breeding programs. Multivariate statistical techniques, including principal component analysis (PCA) and cluster analysis, were applied to analyze the variation among genotypes and to elucidate the relationships among traits. The results of cluster analysis using Ward’s method categorized the genotypes into three distinct groups, with the IRI ۳۴۷ line, which demonstrated the highest grain yield, forming a separate cluster, highlighting its potential as an elite restorer. PCA revealed that three independent principal components collectively explained ۸۸.۷۵% of the total phenotypic variation. The first principal component was primarily associated with yield-related traits such as filled grains per panicle and grain weight, indicating its central role in overall productivity. The second component was strongly linked to the number of sterile spikelets, reflecting reproductive efficiency, while the third component predominantly represented plant height. These findings provide valuable insights into the genetic diversity and trait interrelationships among rice restorer lines, facilitating the selection of high-performing genotypes for hybrid seed production and contributing to the development of more productive and resilient rice cultivars.

کلیدواژه ها:

rice ، Fertility Restorer Genes ، Cluster analysis ، Morphological traits