2021
DOI: 10.23910/1.2021.2199
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Studies on Correlation and Path Coefficient Analysis in Hybrid Rice (Oryza sativa L.) for Yield and Quality Traits

Abstract: The present investigation was carried out at Regional Agricultural Research Station, Polasa, Jagtial, Telangana state, India to study the correlation and path coefficient analysis towards yield, physical and chemical quality traits in 46 genotypes including two checks in Randomized Block Design with two replications during kharif, october, 2019. Association of yield and yield components and among grain yield characters makes us to understand their relationship towards selecting a high yielding and good quality… Show more

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Cited by 3 publications
(3 citation statements)
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“…High positive direct effect of this trait has been nullified by the negative indirect effect of number of unfilled grains per panicle (-0.4621), however indirect effects via number of filled grains per panicle,1000 grain weight, plant height and productive tillers per plant was very high bringing the total correlation to r=0.8151 with yield. The results were in agreement with the findings of Akter et al [19], Vennela et al [20].…”
Section: Path Coefficient Analysissupporting
confidence: 93%
See 1 more Smart Citation
“…High positive direct effect of this trait has been nullified by the negative indirect effect of number of unfilled grains per panicle (-0.4621), however indirect effects via number of filled grains per panicle,1000 grain weight, plant height and productive tillers per plant was very high bringing the total correlation to r=0.8151 with yield. The results were in agreement with the findings of Akter et al [19], Vennela et al [20].…”
Section: Path Coefficient Analysissupporting
confidence: 93%
“…Though the correlation coefficient of panicle length (0.3975) was positive, it's direct effect on single plant yield was negative and low, which is mainly due to negative indirect effects of days to 50% flowering, 1000 grain weight, plant height, number of productive tillers per plant, spikelet fertility and number of filled grains per panicle, while it has a positive indirect effect through number of unfilled grains per panicle. The similar results were reported by Vennela et al [20].…”
Section: Path Coefficient Analysissupporting
confidence: 92%
“…Seed yield is calculated from grain yield per plot, while the calculation of yield components is calculated from yield components per plant, this can provide insignificant seed yield when correlated with yield components per plant. Research by Vennela et al (2021) revealed that grain length is the main contributor to grain yield, followed by spikelet fertility, number of grains per panicle, and 1000-grain weight. These characters showed a direct positive influence on grain yield per plant.…”
Section: Effects Of Interactionmentioning
confidence: 99%