Correlation and Path Coefficient Analysis of Some Rice Genotypes (Oryza sativa L.)

Shraddha Singh *

Department of Crop Physiology, Acharya Narendra Deva University of Agriculture & Technology, Kumarganj, Ayodhya - 224229 (U.P.), India.

A. K. Singh

Department of Crop Physiology, Acharya Narendra Deva University of Agriculture & Technology, Kumarganj, Ayodhya - 224229 (U.P.), India.

Sumant Pratap Singh

Department of Plant Molecular Biology and Genetic Engineering, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya - 224229 (U.P.), India.

Alok Kumar Singh

Department of Crop Physiology, Acharya Narendra Deva University of Agriculture & Technology, Kumarganj, Ayodhya - 224229 (U.P.), India.

R. K. Yadav

Department of Crop Physiology, Acharya Narendra Deva University of Agriculture & Technology, Kumarganj, Ayodhya - 224229 (U.P.), India.

*Author to whom correspondence should be addressed.


Abstract

An experiment was carried out to study the correlation and path analysis in twenty-six rice (Oryza sativa L.) varieties, among 26 rice genotypes, 15 rice varieties and 11 landraces collections from hilly region of Mirzapur in eastern Uttar Pradesh. The experiment was performed during kharif 2021-22 in Randomized Block Design with three replications to analyze correlation and path Analysis. At phenotypic and genotypic level, number of grain per panicle (GPP 0.603), chlorophyll content (Chl 0.326), Ear bearing tillers per plant (EBT 0.356) showed highly positive significant correlation with yield per plant (YPP) to emerge as most important associates of grain yield in rice. Path analysis identified the highest positive direct effect on grain yield per plant was exhibited by number of grain per panicle (GPP 0.485), days to 50% flowering (DFF 0.414), plant height (PH at 45DAT 0.255), chlorophyll content (Chl 0.255), Ear bearing tillers per plant (EBT 0.173), plant height (PH at 30DAS 0.042), number of tillers per plant (NOT 0.029), panicle length (PL 0.024) are the most significant direct as well as indirect effect. Yield contributing components which under consideration at time of devising selection strategy aimed at developing varieties having higher yield. 

Keywords: Correlation, path analysis, significant, phenotypic, genotypic landraces, rice


How to Cite

Singh, Shraddha, A. K. Singh, Sumant Pratap Singh, Alok Kumar Singh, and R. K. Yadav. 2022. “Correlation and Path Coefficient Analysis of Some Rice Genotypes (Oryza Sativa L.)”. International Journal of Environment and Climate Change 12 (10):1100-1109. https://doi.org/10.9734/ijecc/2022/v12i1030905.