Correlation And Path Analysis Of Yield And Yield Attributing Characters In Rice Under Reproductive Drought Stress Condition

Pratit Khanal (), Bigyan K.C., Sagar Lamichhane, Nav Raj Adhikari, Subarna Sharma Acharya and Koshraj Upadhyay
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Pratit Khanal: Institute of Agriculture and Animal Science, Lamjung Campus
Bigyan K.C.: Department of Plant Breeding, Post Graduate Program, Institute of Agriculture and Animal Science Tribhuvan University, Kirtipur, Kathmandu, Nepal
Sagar Lamichhane: Institute of Agriculture and Animal Science, Lamjung Campus
Nav Raj Adhikari: Institute of Agriculture and Animal Science, Lamjung Campus
Subarna Sharma Acharya: Institute of Agriculture and Animal Science, Lamjung Campus
Koshraj Upadhyay: Institute of Agriculture and Animal Science, Gauradaha Campus

Reviews in Food and Agriculture (RFNA), 2022, vol. 3, issue 1, 39-42

Abstract: A field screening of eight genotypes at farmer’s field of Sundarbazar, Lamjung in randomized complete block design with three replications was conducted to study the character association between yield and yield attributing traits of rice and their direct and indirect effect on grain yield under reproductive drought stress condition from June to November 2018. The analysis of variance revealed significant differences for all traits except plant height, which indicates existence of genetic variability, potential for selection and further improvement among all genotypes under study. Correlation and path analysis revealed that flag leaf area, chlorophyll content, days to heading and thousand grain weight showed significant and positive association as well as positive direct effect on yield of rice which means direct selection of these traits would be beneficial for the improvement of grain yield facilitating the selection and progress on breeding program.

Keywords: Correlation; path analysis; rice; drought; stress (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbrfna:v:3:y:2022:i:1:p:39-42

DOI: 10.26480/rfna.01.2022.39.42

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