Principal component and cluster analyses for assessing agro-morphological diversity in rice

ORYZA- An International Journal on Rice Pub Date : 2023-03-30 DOI:10.35709/ory.2023.60.1.2

Puranjoy Sar, P. C. Kole

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Abstract

Forty-five rice genotypes were evaluated for determining the pattern of variation and relationship among 14 yield contributing traits. Four principal components (PCs) exhibited eigen values >1.0 and explained about 79.5 % of the total phenotypic variability. From rotated component matrix it has been observed that the highest positive eigen vector was taken by secondary branches (0.945), followed by total spikelet number (0.945), fertile spikelet number (0.889), primary branches (0.676) and harvest index (0.632) in PC1, indicating the major effects in the overall variation among the genotypes. Seven groups were formed after cluster analysis. Cluster I had lowest average for days to 50% flowering, Cluster II had highest mean value for harvest index, Cluster III had highest mean for flag leaf area, test weight, and straw and grain yield per plant, and Cluster V had highest mean value for primary branches, total spikelet number, fertile spikelet number and fertility %. So, desirable genotypes fromdifferent cluster can be selected and hybridization programme may be initiated to utilize heterosis in F1 generation and wide spectrum of recombinants in segregating generations for selection of promising segregants.

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水稻农业形态多样性的主成分和聚类分析

对45个水稻基因型进行了评价，以确定14个产量贡献性状之间的变异模式和关系。4个主成分(PCs)的特征值>1.0，占总表型变异的79.5%。从旋转分量矩阵中可以看出，PC1中二次枝的阳性特征载体最高(0.945)，其次是总小穗数(0.945)、可育小穗数(0.889)、一次枝(0.676)和收获指数(0.632)，表明PC1在基因型间的总体变异中起主要作用。聚类分析后形成7组。聚类I至50%开花天数平均值最低，聚类II收获指数平均值最高，聚类III旗叶面积、试验重、单株秸秆和籽粒产量平均值最高，聚类V一次分枝、总小穗数、可育小穗数和育性%平均值最高。因此，可以从不同的群体中选择理想的基因型，并启动杂交计划，利用F1代的杂种优势和分离代的广谱重组来选择有希望的分离子。

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ORYZA- An International Journal on Rice

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