2023, Issue 6, Volume 15

CORRELATION AND PATH COEFFICIENT ANALYSIS FOR GRAIN YIELD IN RICE (ORYZA SATIVA L.) GENOTYPES

Deepak Meena1&2*, Manoj Kumar3, Sandhya3, N.R. Koli3, Yamini Tak4
and Ashok Kumar Meena1

1Department of Genetics and Plant Breeding, College of Agriculture Ummedganj, Kota, AU Kota, Rajasthan, India

2Department of Genetics and Plant Breeding, RCA, MPUAT, Udaipur

3Agricultural Research Station, Ummedganj, AU Kota, Rajasthan, India

4Department of Biochemistry, College of Agriculture Ummedganj, Kota, AU Kota, Rajasthan India

Received-03.06.2023, Revised-15.06.2023, Accepted-26.06.2023

Abstract: The current study investigated the relationship between GY of rice and its related attributing characters in twenty five different rice crop genotypes. As a consequence of correlation, it was found that the PTPP showed a very strong association that is positive with GYPP, followed by TW, PL, PH, DF50% and DM at the genotypic as well as phenotypic levels, respectively, demonstrate how GY can be increased with choosing genotypes with greater amounts for these characteristics. The outcome of the analysis of the path co-efficient showed that the PTPP had the greatest direct positive impact on GYPP, followed by the TW, PL, PH, DM, and DF 50%. These features should be regarded as a crucial selection criterion for maximizing crop output because they also played a significant influence in the indirect impacts for the majority of constituent traits on grain yield per plant.

Keywords: Correlation coefficient, Grain yield, Path analysis, Rice

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