Variability, correlation and path analysis in drought tolerant rice (Oryza sativa L.)

Abstract

Yield contributing traits in thirty three rice genotypes were studied for variances, heritability, correlation (genotypic and phenotypic) and path coefficient analysis. The highest phenotypic variation (σ2p), was found for No. of grain per panicle and the lowest was observed in 100 grain wt. High genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) for No. of unfilled grains per panicle, No. of grains per panicle and grains yield per hill, indicated that selection of these traits would be effective. The high heritability estimates along with low genetic advance indicates that non-additive type of gene action and genotype-environment interaction plays a significant role in the expression of the traits as observed in days to 50% flowering, No. of tillers per hill days to harvesting and panicle length (cm). No. of grains per panicle with grains yield per hill as well as length showed significant and positive correlation but No. of tillers per hill showed highly significant and negative correlation with days to 50% flowering both at genotypic and phenotypic level. Path coefficient analysis showed that No. of grains per panicle had maximum direct effect on grain yield followed by No. of panicles per hill, and No. of tillers per hill. The lowest direct effect on grain yield was exhibited by No. of unfilled grains (0.0732) followed by plant height, No. of primary branches per panicles, and No. of secondary branches per panicles respectively. Number of grains per panicle had maximum direct effect on grain yield followed by No. of panicles per hill and No. of tillers per hill. The results prescribed that there is a highly significant positive correlation with positive direct effect was observed in No. of grains per panicle, No. of panicles per hill, No. of unfilled grains per panicle, No. of primary branches and No. of secondary branches.

Analysis of Yield Components on Seed Yield in F4 Families of Rice (Oryza sativa L.)

“…Plant height registered positive and significant correlation at both levels with panicle length, flag leaf area, secondary branches panicle -1 , number of spikelets and 100-grain weight, while it showed negative and non-significant association with the number of panicles. The results of correlations of plant height are in agreement with the reports of Ria et al (2015) for the number of spikelets; Swapnil et al (2020), Saha et al (2019) and Bhargava et al (2021) for panicle length; Kishore et al, (2018) for 100-grain weight; and Hossain et al (2018) for secondary branches panicle -1 . Plant height showed a negative association with the number of panicles (Ketan and Sarkar, 2014;Kishore et al, 2018).…”

“…Primary branches panicle -1 showed a positive significant correlation with secondary branches panicle -1 , the number of spikelet, and grain yield panicle -1 and negative non-significant correlation with spikelet fertility. Hossain et al (2018) reported similar results for secondary branches panicle -1 and grain yield panicle -1 . Secondary branches panicle -1 showed a positive significant correlation with number of spikelets and a negative association with spikelet fertility.…”

Correlation and Path Analysis Studies for Yield and Quality Traits of Rice Landraces and Mutants of Chhattisgarh, India

“…This shows their true and potent relationship and direct selection in those traits [8] will directly lead to high yield and good Head Rice Recovery. Similar results were reported by Hossain et al, [9]; Parimala et al, [10]; and Samudin et al, [11,12].…”

Genetic variability and yield analysis in rice

“…Very low residual effect (0.0399) indicated that 96 per cent of the variation in grain yield in this population is contributed by the ten characters included in the path analysis. Similar results have been recorded earlier for the number of panicle (Kole et al, 2008;Devi et al, 2017), plant height (Jambhulkar and Bose, 2014;Li et al, 2019), test weight (Kole et al, 2008;Islam et al, 2019), primary branches (Hossain et al, 2018) and secondary branches (Islam et al, 2019).…”

“…This indicated the contributions of these traits towards seed yield. A similar association of grain yield was reported for days to flowering (Adhikari et al, 2018), plant height and test weight (Devi et al, 2017;Tiwari et al, 2019), the number of grains per panicle (Khare et al, 2014;Devi et al, 2017), primary branches (Hossain et al, 2018) and secondary branches . The results of character association implied that plant height, flag leaf area, days to flowering, primary and secondary branches per panicle, spikelet and grain number, spikelet fertility (%) and test weight might be important for determining seed yield in this population of rice.…”