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Correlation and Path Coefficient Analysis for Agronomical Traits of Sorghum [Sorghum bicolor (L.) Moench] Genotypes Under Drought Stress Area

Received: 17 October 2024     Accepted: 7 November 2024     Published: 28 November 2024
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Abstract

Ethiopia is the center of origin and domestication for sorghum with a wide range of collections from various agro-ecologies. However, there are many factors that hinder the production and productivity of sorghum. Drought is one of the most important factors that affect crop production worldwide and continues to be a challenge to plant breeders, despite many decades of research. The association of traits that may exist between or among sorghum characters is essential for breeders. Therefore, the present study is aimed to analyze and determine the traits having greater association with yield utilizing the correlation and path analysis for different traits of lowland Ethiopian sorghum genotypes. Therefore, the field experiment was conducted at Miesso to estimate the association of traits, and determine their direct and indirect effects on grain yield. The area represents dry lowlands where sorghum is predominantly grown by smallholder farmers. A set of 72 sorghum genotypes advanced from a pedigree breeding approach was used in this study. The experiment was laid out using Row-Column design with two replications during 2021 main cropping season. R statistical software was used to analyze the data. The analysis of variance indicated that there were significant variations among the tested genotypes for the studied traits. Grain yield had positive and highly significant correlation with panicle weight, panicle yield, stand count and grain filling rate at both genotypic and phenotypic levels. Grain yield had also negative and highly significantly correlation with days to flowering at both genotypic and phenotypic level and days to maturity at genotypic level. Path coefficient analysis indicated that grain filling rate exerted the highest positive direct effect on grain yield at both genotypic and phenotypic levels.

Published in International Journal of Genetics and Genomics (Volume 12, Issue 4)
DOI 10.11648/j.ijgg.20241204.17
Page(s) 117-126
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Correlation, Path Coefficient, Chlorophyll Content Meter

References
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    Tiliye, A., Alemayehu, S. (2024). Correlation and Path Coefficient Analysis for Agronomical Traits of Sorghum [Sorghum bicolor (L.) Moench] Genotypes Under Drought Stress Area. International Journal of Genetics and Genomics, 12(4), 117-126. https://doi.org/10.11648/j.ijgg.20241204.17

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    ACS Style

    Tiliye, A.; Alemayehu, S. Correlation and Path Coefficient Analysis for Agronomical Traits of Sorghum [Sorghum bicolor (L.) Moench] Genotypes Under Drought Stress Area. Int. J. Genet. Genomics 2024, 12(4), 117-126. doi: 10.11648/j.ijgg.20241204.17

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    AMA Style

    Tiliye A, Alemayehu S. Correlation and Path Coefficient Analysis for Agronomical Traits of Sorghum [Sorghum bicolor (L.) Moench] Genotypes Under Drought Stress Area. Int J Genet Genomics. 2024;12(4):117-126. doi: 10.11648/j.ijgg.20241204.17

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  • @article{10.11648/j.ijgg.20241204.17,
      author = {Ambesu Tiliye and Shimelis Alemayehu},
      title = {Correlation and Path Coefficient Analysis for Agronomical Traits of Sorghum [Sorghum bicolor (L.) Moench] Genotypes Under Drought Stress Area
    },
      journal = {International Journal of Genetics and Genomics},
      volume = {12},
      number = {4},
      pages = {117-126},
      doi = {10.11648/j.ijgg.20241204.17},
      url = {https://doi.org/10.11648/j.ijgg.20241204.17},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijgg.20241204.17},
      abstract = {Ethiopia is the center of origin and domestication for sorghum with a wide range of collections from various agro-ecologies. However, there are many factors that hinder the production and productivity of sorghum. Drought is one of the most important factors that affect crop production worldwide and continues to be a challenge to plant breeders, despite many decades of research. The association of traits that may exist between or among sorghum characters is essential for breeders. Therefore, the present study is aimed to analyze and determine the traits having greater association with yield utilizing the correlation and path analysis for different traits of lowland Ethiopian sorghum genotypes. Therefore, the field experiment was conducted at Miesso to estimate the association of traits, and determine their direct and indirect effects on grain yield. The area represents dry lowlands where sorghum is predominantly grown by smallholder farmers. A set of 72 sorghum genotypes advanced from a pedigree breeding approach was used in this study. The experiment was laid out using Row-Column design with two replications during 2021 main cropping season. R statistical software was used to analyze the data. The analysis of variance indicated that there were significant variations among the tested genotypes for the studied traits. Grain yield had positive and highly significant correlation with panicle weight, panicle yield, stand count and grain filling rate at both genotypic and phenotypic levels. Grain yield had also negative and highly significantly correlation with days to flowering at both genotypic and phenotypic level and days to maturity at genotypic level. Path coefficient analysis indicated that grain filling rate exerted the highest positive direct effect on grain yield at both genotypic and phenotypic levels.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Correlation and Path Coefficient Analysis for Agronomical Traits of Sorghum [Sorghum bicolor (L.) Moench] Genotypes Under Drought Stress Area
    
    AU  - Ambesu Tiliye
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    JF  - International Journal of Genetics and Genomics
    JO  - International Journal of Genetics and Genomics
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    EP  - 126
    PB  - Science Publishing Group
    SN  - 2376-7359
    UR  - https://doi.org/10.11648/j.ijgg.20241204.17
    AB  - Ethiopia is the center of origin and domestication for sorghum with a wide range of collections from various agro-ecologies. However, there are many factors that hinder the production and productivity of sorghum. Drought is one of the most important factors that affect crop production worldwide and continues to be a challenge to plant breeders, despite many decades of research. The association of traits that may exist between or among sorghum characters is essential for breeders. Therefore, the present study is aimed to analyze and determine the traits having greater association with yield utilizing the correlation and path analysis for different traits of lowland Ethiopian sorghum genotypes. Therefore, the field experiment was conducted at Miesso to estimate the association of traits, and determine their direct and indirect effects on grain yield. The area represents dry lowlands where sorghum is predominantly grown by smallholder farmers. A set of 72 sorghum genotypes advanced from a pedigree breeding approach was used in this study. The experiment was laid out using Row-Column design with two replications during 2021 main cropping season. R statistical software was used to analyze the data. The analysis of variance indicated that there were significant variations among the tested genotypes for the studied traits. Grain yield had positive and highly significant correlation with panicle weight, panicle yield, stand count and grain filling rate at both genotypic and phenotypic levels. Grain yield had also negative and highly significantly correlation with days to flowering at both genotypic and phenotypic level and days to maturity at genotypic level. Path coefficient analysis indicated that grain filling rate exerted the highest positive direct effect on grain yield at both genotypic and phenotypic levels.
    
    VL  - 12
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