Red Paper
NAAS Journal

Printed Journal  |  Indexed Journal  |  Refereed Journal  |  Peer Reviewed Journal

International Journal of Research in Agronomy
Peer Reviewed Journal

Estimation of correlation coefficients in elite rice genotypes (Oryza sativa L.)

Vol. 7, Issue 7, Part B (2024)
Author(s)
M Madhuri, Nandan Mehta, LV Subba Rao, R Abdul Fiyaz, N Himaja, K Chaitanya, M Bharath and GD Dileepkumar
Abstract
Genetic variability and correlation are crucial prerequisites for the breeding program development which is aimed at improving varieties as well as desired traits. Twenty-one elite rice genotypes were evaluated at the ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad at the time of the Kharif 2021 and Rabi 2023 seasons to investigate the correlation among yield as well as many yield attributing characters which include days to 50percent flowering, plant height (PH), number of tillers (NT), length of panicle (PL), panicle weight (PW), number of productive tillers (NPT), number of unfilled grains (NUFG), number of filled grains (NFG), single plant yield(SPY), fertility of spikelet (SF), and test weight (TW). During the kharif season of 2021, there exists a robust and statistically significant association among the characteristics of individual plant yield and the weight of the panicle. The traits that showed a positive correlation with the SPY in Kharif 2021 were PH, PL, NT, NPT, SF, PW, NFG, and TW. These traits suggest that they must be considered as criteria of selection in programs of yield improvement. In Rabi 2023, a single plant has a positive correlation with TW, filled as well as unfilled grains, NT, PW, and NPT. According to correlation studies, the yield of grain/plant invariably increases with an increase in one or more of these characteristics.
Pages : 150-153 | 1190 Views | 614 Downloads
How to cite this article:
M Madhuri, Nandan Mehta, LV Subba Rao, R Abdul Fiyaz, N Himaja, K Chaitanya, M Bharath, GD Dileepkumar. Estimation of correlation coefficients in elite rice genotypes (Oryza sativa L.). Int J Res Agron 2024;7(7):150-153. DOI: 10.33545/2618060X.2024.v7.i7b.999
Related Links
Related Journal Subscription
Important Links
International Journal of Research in Agronomy

International Journal of Research in Agronomy

Copyright © 2025. All Rights Reserved.
International Journal of Research in Agronomy