Multivariate analyses in newly developed castor (Ricinus communis L.) inbred lines under rainfed alfisols of Andhra Pradesh
MULTIVARIATE ANALYSES IN NEWLY DEVELOPED CASTOR INBRED LINES UNDER RAINFED ALFISOLS
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Authors
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K CHANDANA
S V Agricultural College, Acharya N G Ranga Agricultural University, Tirupati-517 502, Andhra Pradesh
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V S DURGA PRASAD
S.M.G.R. Agricultural College, Udayagiri-524 226, Andhra Pradesh
Keywords:
Castor, Correlation, Eigenvalues, Principal component analysis, Seed yieldAbstract
Castor is a vital crop had wide range of industrial applications. Understanding genetic diversity is essential for effective breeding strategies. In this study, 40 castor genotypes were evaluated using correlation, principal component analysis (PCA). Correlation analysis revealed that characters with plant height up to primary spike, effective primary spike length, number of capsules on primary spike and 100 seed weight displayed significant and positive correlation of total seed yield. PCA identified five components (with Eigenvalues >1), explaining 85.85% of the total variation. PC-I showed strong positive loadings for the number of capsules to primary spike, effective primary spike length, 100 seed weight, total seed weight, and number of effective spikes per plant. Considering the mean values of canonical vectors, genotypes ACI-01, ACI-26, and ACI-28 emerged as promising genotypes for use in breeding programs.
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