Abstract
Principal component analysis (PCA) and breeding value analysis (BV) were used to discover genotypes with better features for future breeding efforts. This research included a thorough analysis of the 300 exceptional rice germplasms provided by the Bangladesh Rice Research In (BRRI) and the International Rice Research Institute (IRRI). In the PCA scheme, the dendrogram generated using the UPGMA method identified Cluster II as the most favorable. This cluster comprised 125 genotypes distinguished by remarkable plant height, growth, and grain quality. Properties such as amylose content, chalkiness, and zinc concentration, which have a notable influence on crop productivity, were also taken into consideration. A biplot analysis, specifically examining principal components 1 and 2, revealed a favorable correlation between certain genotypes located in the top right quadrant and important agronomic factors like plant height, flowering, maturity dates, yield, and grain width. Genotypes 11, 31, 36, 48, 68, 78, 119, 126, 133, 195, 218, 220, 235, 241, 265, 266, 284, and 295 had favorable traits that suggested the possibility of higher rice production. The BV analysis revealed six genotypes 86, 142, 143, 239, 282, and 295 that showed promise for future breeding endeavors. Among the six, genotype 295 (IRRI 154) showed remarkable features. These studies provided a substantial contribution to the progress of rice breeding by opening up possibilities for developing rice varieties with improved yield and quality.
Published Version
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