Inter – Relationship and Path Analysis in F2 Generation of Rice  (Oryza sativa L.) under Submergence

Muthuvijayaragavan, R.; Murugan, E.

doi:10.20546/ijcmas.2017.609.315

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Path Coefficient Analysis1

Df-days To First Flowering Dm-days To Maturity Nt-number Of ...1

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2023

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Cited by 2 publications

(2 citation statements)

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“…Number of productive tillers (-0.112), 100 grains weight (-0.014) had negative direct effect of on grain yield per plant. Similar result was reported by Muthuvijayaragavan and Murugan (2017).…”

Section: Path Coefficient Analysissupporting

confidence: 92%

Identification of Transgressive Segregants with High Zinc in Grains under Aerobic Condition in F4 Population of Rice (Oryza sativa L.)

Thuy¹,

Santhosh²,

Shashidhar³

2018

Int.J.Curr.Microbiol.App.Sci

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Section: Path Coefficient Analysissupporting

confidence: 92%

Identification of Transgressive Segregants with High Zinc in Grains under Aerobic Condition in F4 Population of Rice (Oryza sativa L.)

Thuy¹,

Santhosh²,

Shashidhar³

2018

Int.J.Curr.Microbiol.App.Sci

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“…And for the positive direct effects in case of negative correlation, a restricted selection has to be adopted for effected selection. Similar findings were observed for the days to maturity under the present study [12,[13][14][15][16][17][18]8].…”

Section: Df-days To First Flowering Dm-days To Maturity Nt-number Of ...supporting

confidence: 90%

Estimation of Association among the Yield and Yield Attributing Traits in the Segregating Population of Rice

Ekka,

Kumari,

Swapnil

et al. 2023

IJPSS

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Indirect selection, using correlation coefficients, linear regression coefficients and path analysis, uses a variety of yield determinants that are more heritable than yield itself and less influenced by environmental factors and therefore are stable. Therefore, indirect selection based on the characters makes the selection process more efficient, especially in the early generations. Correlation coefficient analysis and the use of path coefficients are particularly important for economical and complex traits such as yield, where direct selection is less effective. Thus the present experiment was undertaken to decipher the character association between the characters in a segregating population (F2) obtained from a cross between Naveen x IR 64 Drt1rom the study, it was evident that the characters like leaf breadth, leaf area, plant height, panicle length, number of primary branches, number of secondary branches, number of filled grains, grain length and test weight had the maximum association with yield among the characters under the study. Correlation coefficient and path coefficient analysis, revealed that the characters viz., number of filled grains per plant followed bygrain breadth, total number of grains, number of secondary branches, plant height, number of panicles, leaf breadth, flag leaf area, 1000 seed weight, panicle lengthand number of primary branches had a highly significant and positive correlation with yield and positive direct effect on yield. Thus, emphasis may be given to these traits for the effective selection of promising lines under study.

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Inter – Relationship and Path Analysis in F2 Generation of Rice (Oryza sativa L.) under Submergence

Cited by 2 publications

References 10 publications

Identification of Transgressive Segregants with High Zinc in Grains under Aerobic Condition in F4 Population of Rice (Oryza sativa L.)

Identification of Transgressive Segregants with High Zinc in Grains under Aerobic Condition in F4 Population of Rice (Oryza sativa L.)

Estimation of Association among the Yield and Yield Attributing Traits in the Segregating Population of Rice

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