Abstract:
The present investigation was under taken with the objectives to find out associations among different characters and to analyze direct and indirect effects of different characters on grain yield. The experiment was conducted during
Kharif 2015 at Narendra Deva University of Agriculture and Technology, Narendra Nagar, Kumarganj, Faizabad. The experimental materials of rice for this investigation comprised of 20 genotypes as lines (female) and three testers (male)
viz., NDR 359, Narendra Usar 2009 and Narendra Usar 3. Each of three testers was crossed with 20 lines during
kharif, 2014. The experiment was based on evaluation of a line × tester set of 60 hybrids (F
1s) along with their 20 parents and check varieties
viz., CSR 43 and IR 28, for thirteen characters
viz., days to 50 % flowering, plant height (cm), flag leaf area, (cm
2), panicle bearing tillers per plant, panicle length (cm), spike lets per panicle, grains per panicle, spikelet fertility (%), biological yield per plant (g), harvest index (%), L:B ratio, 1000
-grains wt. (g) and grain yield per plant (g) under salt affected soil in randomized block design with three replications under salt affected soil. Grain yield per plant showed positive and significant correlation with flag leaf area, panicle bearing tillers per plant, panicle length, spike lets per panicle, grains per panicle, spikelet fertility, biological yield per plant, harvest index and 1000
-grains wt. emerge as most important associates of grain yield in rice. Path analysis identified biological yield and harvest
-index as most important direct yield contributing traits. Grains per panicle, spike lets per panicle, panicle bearing tillers per plant, spikelet fertility, harvest index, flag leaf area, 1000 grain weight, panicle length and plant height exhibited high and positive indirect effect on grain yield
via biological yield per plant. Similarly, considerable positive indirect effects on grain yield per plant were exerted by panicle bearing tillers per plant, grains per panicle and spike lets per panicle
via harvest
-index. Hence, selection based on these characters would be more effective to meet higher grain yield. The residual effect under path analysis was very low and negligible