ELUCIDATION OF RICE ADVANCED BREEDING LINES (F6 GENERATION) FOR GENETIC DIVERSITY THROUGH PRINCIPAL COMPONENT AND HIERARCHICAL CLUSTERING ANALYSIS
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Authors
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K.AMARNATH
Regional Agricultural Research Station, Nandyal-518502 Acharya N.G. Ranga Agricultural Uni
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B.N.V.S.R.RAVI KUMAR
Regional Agricultural Research Station, Nandyal-518502 Acharya N.G. Ranga Agricultural Uni
Keywords:
Correlation, Genetic diversity, Hierarchical cluster analys, Principal component analysis, Rice.Abstract
The current study aimed to evaluate 200 advanced breeding lines along with three checks during kharif,2024 to delineate the extent of genetic diversity for yield and its component trait using multivariate techniques using Principal Component Analysis (PCA), Hierarchical clustering and correlation. In PCA, the principal components having eigen values greater than one viz., PC1, PC2, PC3,PC4 and PC5 detailing 20.3%, 16.7%, 14%, 12.8% and 12.7% respectively with
a cumulative effect of 76.7% of the total variation. Based upon Wards method of hierarchical clustering, 200 rice advanced breeding lines along with three checks were divulged into 14 clusters based on different traits studied, in which cluster I topped with 30 advanced breeding lines followed by cluster XIII and VI with 29 and 25 advanced breeding lines, respectively. The advanced breeding linesconfined to cluster X registered higher cluster mean values for grain yield. Besides, cluster XIV showed highest values for panicle length, ear bearing tillers/m2 and grains per panicle. The trait grain yield registered positive association with days to 50 % flowering, days to maturity, ear bearing tillers/m2, grains per panicle and test weight through correlation analysis.
From the present study, the advanced breeding lines viz., NDRA 78, NDRA 225, NDRA 226, NDRA 227 and NDRA 50 were identified as genetically potential advanced breeding lines for commercial exploitation for enhancing yield and component traits in rice.
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