Abstract
A total of 50 traditional rice landraces of Tamil Nadu were characterised for 12 biometric traits and the data were subjected to principal component analysis and cluster analysis to determine the contribution in variation, diversity level and the strength of association prevailing between grain yield and its related traits. Out of 12 Principal components, four exhibited more than 1.0 eigenvalues and contributed to 73.58 per cent of the total variability. PC1 alone accounts for about 39.15 per cent, while PC2, PC3, PC4 contributed 14.39, 11.00 and 9.04 per cent for total variability, respectively. Through agglomerative clustering, the landraces were grouped into five clusters. The landraces present in cluster I (G1, G18, G23, G26, G31, G32, G36, G39, G43, G44, G45) and cluster V (G30 and G45) were found to be with contrasting characters making them ideal parents for further utilization in rice breeding programmes. Key words: Rice, Landraces, Principal Component Analysis, Cluster Analysis
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
