Assessment of Correlation and Path Coefficient Analysis for Yield Attributing and Quality Traits in promising rice varieties cultivated in Tamil Nadu

Naik, M.Vinod Kumar; Pillai, M. Arumugam; Saravanan, S.

doi:10.31254/phyto.2021.10211

Cited by 3 publications

(4 citation statements)

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“…It expressed positive indirect contribution through days to 50% flowering (0.1197) plant height (0.0868), panicle length (0.0766), number of grains per panicle (0.1397), L/B ratio (0.1584), hulling percentage (0.0399) and milling percentage (0.1011) and negative indirect contribution through number of productive tillers per plant (-0.0426), 1000 grain weight (-0.1414), kernel length (-0.0143) and kernel breadth (-0.1754). These results are in agreement with the findings of Premkumar et al [29], Devi et al [3], Hemalatha et al [33] and Naik et al [31].…”

Section: Resultssupporting

confidence: 93%

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Correlation and Path Coefficient Studies for Grain Yield and Yield Components in Rice (Oryza sativa L.)

Saketh,

Shankar,

Srinivas

et al. 2023

IJPSS

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The current research was conducted with an objective to study the correlation between different traits and path coefficient analysis in rice. Four CMS lines were crossed with eight elite restorers in a Line × Tester design and the resultant 32 hybrids were evaluated along with the parents and two checks in a randomized block design with three replications during the rabi season of 2022. The data was collected on 13 quantitative characters. The results revealed that there is a significant variability in the material studied. The character association studies indicated that the trait, grain yield per plant had significant positive genotypic correlation with panicle length, number of productive tillers per plant, number of grains per panicle, 1000 grain weight, 50% flowering, plant height, kernel length, kernel breadth and head rice recovery. The path analysis studies revealed that panicle length was the major contributor for grain yield per plant followed by plant height, number of grains per panicle, days to 50% flowering, 1000-grain weight, kernel length, number of productive tillers per plant, head rice recovery and kernel breadth. These characters showed direct positive effects for grain yield per plant. The above characters can be used directly as the selection criteria in rice yield improvement programmes.

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Section: Resultssupporting

confidence: 93%

“…Head rice recovery exhibited positive and significant correlation with grain yield per plant (0.2107*). These results are in accordance with the findings of Kumar et al [28], Abdala et al [17], Premkumar et al [29], Ratna et al [8], Edukondalu et al [30] Devi et al [3] and Naik et al [31].…”

Section: Resultssupporting

confidence: 92%

Correlation and Path Coefficient Studies for Grain Yield and Yield Components in Rice (Oryza sativa L.)

Saketh,

Shankar,

Srinivas

et al. 2023

IJPSS

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“…Hence, these characters could be considered as criteria for higher yield as these were mutually and directly associated with seed yield. Almost similar findings have been reported by [4][5][6][7][8][9][10].…”

Section: Correlations Coefficientssupporting

confidence: 90%

Correlation and Path Coefficient Analysis for Yield and Yield Attributing Traits in Rice (Oryza sativa L.)

Saran¹,

Gauraha²,

Sao³

et al. 2023

IJPSS

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This study aimed to investigate the correlations among yield and yield component traits and estimate the direct and indirect effects of these traits on grain yield in rice. The experiment was conducted during kharif 2022. Correlation coefficients and path coefficients were analyzed to determine the relationships between these traits and seed yield. The results showed significant positive correlations between seed yield and traits such as effective tillers per plant, total tillers per plant, number of filled grains, spikelet fertility, biological yield, harvest index, and 100 seed weight. The genotypic correlations were slightly higher than the corresponding phenotypic correlations. Path coefficient analysis revealed that biological yield had the maximum direct effect on seed yield, followed by harvest index, panicle length, and number of filled grains per panicle, plant height, and effective tillers per plant, 100 seed weight, and days to 50% flowering. These findings provide valuable information for selecting superior cross combinations in hybrid rice breeding programs to improve grain yield.

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“…Whereas, seed yield plant -1 exhibited negative correlation with days to 50% flowering, plant height, panicle length and days to maturity both at phenotypic and genotypic level (Figure 1). Saleh et al (2020) and Naik et al (2021) observed that the seed yield plant -1 exhibited highly significant and positive correlation with thousand seed weight and numbers of productive tillers plant -1 .…”

Section: Shaded Correlation Matrixmentioning

confidence: 98%

Delineating the Association of Component Traits and their Effects on Yield in Elite Rice (Oryza sativa L.) Genotypes of Telangana and Andhra Pradesh

Harisha,

Bhadru,

Vanisri

et al. 2022

IJEP

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The current study was conducted at Seed Research and Technology Center (SRTC), Professor Jayashankar Telangana State Agricultural University, Hyderabad, Telangana state, India to understand traits association with yield components and their direct and indirect influence on seed/grain yield during the kharif season (July to November) 2018–19. Eighteen elite rice genotypes were evaluated for eight yield attributing traits in randomized complete block design (RCBD) with three replications. Correlation study among the genotypes reveals that, genotypic correlation coefficients were slightly higher than phenotypic correlation coefficients for most traits showed the influence of genetic composition on the lines’ expression. Highly significant and positive strong correlation observed for days to maturity and days to 50% flowering (0.8955 and 0.8230), while moderate positive correlation observed for productive tillers plant-1 and panicle length (0.5744 and 0.3571) at genotypic and phenotypic level respectively. However, Seed yield plant-1 depicted a strong and positive correlation with thousand seed weight (0.4048 and 0.3895), while very low with number of productive tillers plant-1 (0.0579 and 0.0524) at the phenotypic and genotypic levels. The results of path analysis revealed that the thousand seed weight has a high and significant genotypic (0.3286*) and phenotypic path coefficient value (0.3198) indicates high positive direct effects on the seed yield and days to 50% flowering (0.2252) shows strong and positive direct impact on the seed yield. These traits could be used as selection criteria to improve the grain yield and grain quality in the rice breeding programs.

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Assessment of Correlation and Path Coefficient Analysis for Yield Attributing and Quality Traits in promising rice varieties cultivated in Tamil Nadu

Cited by 3 publications

References 0 publications

Correlation and Path Coefficient Studies for Grain Yield and Yield Components in Rice (Oryza sativa L.)

Correlation and Path Coefficient Studies for Grain Yield and Yield Components in Rice (Oryza sativa L.)

Correlation and Path Coefficient Analysis for Yield and Yield Attributing Traits in Rice (Oryza sativa L.)

Delineating the Association of Component Traits and their Effects on Yield in Elite Rice (Oryza sativa L.) Genotypes of Telangana and Andhra Pradesh

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