Genetic Variability, Correlation and Path Coefficient Studies in F3 Population of Rice (Orzya sativa L.)

pnil, Swa; Prasad, Krishna; Chakraborty, Manigopa; Singh, Digvijay; Ekka, Jenny Priya; Kumari, Priyanka

doi:10.20546/ijcmas.2020.909.160

Cited by 3 publications

(7 citation statements)

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“…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).…”

Section: Resultssupporting

confidence: 91%

“…A strong correlation of grain yield with these traits indicates that improvement in grain yield would be possible through the selection of these characters. These results were in conformity for primary branches panicle -1 and secondary branches panicle -1 (Biswash et al, 2015;Nath and Kole, 2021) and for the number of spikelets (Sameera et al, 2016;Swapnil et al, 2020;Nath and Kole, 2021). However, spikelet fertility exhibited a negative non-significant correlation with grain yield which is as per the findings of Rai et al (2013).…”

Section: Resultssupporting

confidence: 80%

“…The correlation of this character with grain yield was very high and positive. Similar results were reported for number of panicles (Swapnil et al, 2020), number of spikelet (Swapnil et al, 2020), flag leaf area ( Saha et al, 2019) and secondary branches panicle -1 (Hossain et al, 2018). It exhibited negative direct effects for panicle length (-0.085), spikelet fertility (-0.038) and 100-grain weight (-0.003).…”

Section: Path Coefficient Analysissupporting

confidence: 81%

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

Longkho¹,

Kole²

2022

EEC

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The experiment was conducted in a population comprising 30 F4 families of rice (Oryza sativa L.) derived from 15 different crosses. The effects of 10 yield components viz., plant height, panicle length, flag leaf area, panicle number, number of primary and secondary branches panicle-1, spikelet number panicle-1, spikelet ferilty per cent, 100-grain weight, grain yield panicle-1 on grain yield plant-1 were studied. Association studies indicated that correlations of grain yield with primary branches panicle-1, secondary branches panicle-1, number of spikelet and grain yield panicle-1 were positive and significant at both genotypic and phenotypic levels. Path analyses at both genotypic and phenotypic revealed that the direct selection for primary branches panicle-1 and secondary branches panicle-1 with restricted selection for number of panicles, length for panicle and 100-grain weight will increase the yield of rice in the population under study comprising F4 families of rice.

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Section: Resultssupporting

confidence: 91%

Section: Resultssupporting

confidence: 80%

Section: Path Coefficient Analysissupporting

confidence: 81%

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

Longkho¹,

Kole²

2022

EEC

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“…Similar results were reported by Srijan et al [9] and Kiranmayee et al [10]. Number of tillers per plant exhibited positive association with plant height, number of productive tillers per plant, number of seeds per panicle, 100 seed weight and seed yield per plant which were in line with findings of Kahani and Hittalmani [11] and Swapnil et al [12]. "Number of productive tillers per plant exhibited positive and significant association with plant height and number of tillers per plant.…”

Section: Resultssupporting

confidence: 90%

Genetic Studies for Determination of Yield Components in Rice (Oryza sativa L.) Varieties under Saline Conditions Pooled Over Seasons

Anbuselvam,

Sruthi,

Kumar

et al. 2023

IJECC

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The current study was conducted on 50 rice genotypes to evaluate the pooled correlation and path analysis of various biometrical traits viz., fifty percent flowering, plant height, panicle length, number of tillers per panicle, number of productive tillers per plant, number of grains per panicle, 100 seed weight with seed yield per plant of three seasons under salinity. The analysis of variance pooled over seasons revealed that all eight traits were highly significant thus indicating the existence of high genetic variability among the genotypes for all the traits and suggest the possibility of improving yield under saline condition. The pooled correlation analysis indicated that seed yield per plant has exhibited significant positive correlation with total number of tillers per plant, number of productive tillers per plant, panicle length and number of seeds per panicle. Thus, selection pressure could be applied for increasing the seed yield per plant under saline situation. From the path analysis studies, it was understood that the characters viz., number of productive tillers per plant, panicle length and number of seeds per panicle might be applied with selection pressure directly or indirectly to improve seed yield per plant and the characters studied for seed yield per plant is sufficient and sufficiently control the expression of seed yield in rice under saline situation due to their low residual effect.

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“…"Path coefficient analysis is an efficient statistical technique specially designed to quantify the interrelationship of different components and their direct and indirect effects on grain yield" [8]. "The information on relative direct and indirect contribution of each component character toward yield will help breeders to formulate the effective criteria in selecting desirable genotypes in early segregating populations" [9]. In view of this, the present study was planned to determine the genetic variability, heritability, genetic advance, correlation coefficients and direct and indirect contribution of twenty five upland rice genotypes yield and yield attributing traits on grain yield.…”

Section: Introductionmentioning

confidence: 99%

Character Association and Path Coefficient Analysis in Upland Rice (Oryza sativa L.) for Grain Yield and Quality Characters

Rajasekhar

Lavanya²,

Purushotham³

et al. 2022

IJPSS

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The present investigation was undertaken to evaluate Twenty Five Upland Rice genotypes. There are various aspects to move up rice yield, such as creating of irrigation work, development of rice ecosystems, soil conditions, traditional practices, and breeding of high yielding genotypes. Among them, it seems that the most effective and economic way available is to develop different rice ecosystems especially Upland Rice Genotypes. High to moderate phenotypic and genotypic coefficient of variation were observed for number of panicles per hill and number of tillers per hill. High heritability coupled with high genetic advance as percent of mean was observed for number of panicles per hill, number of tillers per hill, grain yield per hill, test weight and flag leaf length, indicating that these traits are most probably under the control of additive gene action and hence these traits can be fixed by proper selection.Days to 50% flowering, plant height, number of panicles per hill, flag leaf width, spikelets per panicle, days to maturity, biological yield per hill, harvest index and test weight, exhibited positive significant correlation with grain yield per hill at both genotypic and phenotypic levels, indicating selection based on these traits could be more effective to maximize grain yield. Days to 50% flowering, biological yield per hill and harvest index had positive direct effect on grain yield per hill. Therefore, selection program should be based on these traits for crop improvement with high yielding genotypes in Upland rice.

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Genetic Variability, Correlation and Path Coefficient Studies in F3 Population of Rice (Orzya sativa L.)

Cited by 3 publications

References 0 publications

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

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

Genetic Studies for Determination of Yield Components in Rice (Oryza sativa L.) Varieties under Saline Conditions Pooled Over Seasons

Character Association and Path Coefficient Analysis in Upland Rice (Oryza sativa L.) for Grain Yield and Quality Characters

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