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Correlation Coefficient and Path Analyses of Yield and Yield Related Traits of Korean Double Haploid Rice for Germplasm Improvement in Nigeria

Received: 25 April 2021    Accepted: 10 May 2021    Published: 20 May 2021
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Abstract

The success of plant breeding depends on the availability of genetic variation, knowledge about desired traits, and efficient selection strategies that make it possible to exploit existing genetic resource. This study was carried out at Africa Rice Center, International Institute of Tropical Agriculture (IITA) Ibadan, Nigeria, and 239 double haploid lines from Republic of Korea were established along with one of the rice mega varieties (FARO 44) as check. The experiment was conducted using Alpha lattice design with four blocks each planted with 60 entries in two replications. Analysis of variance revealed highly significant differences (P ≤ 0.001) among the genotypes indicating existence of variation among the genotypes. Correlation coefficient of the yield and its association traits revealed significantly positive correlation of grain yield with number of tillers, plant height, days to 50% flowering, panicle length, effective tillers, leaf area, leaf area index, fertility, biomass, panicle weight, number of grains per panicle and grain yield per plant, hence, selection for these traits can improve yield. Path coefficient analysis revealed that days to 50% flowering, leaf area index, fertility, biomass, panicle weight, number of grains per panicle and grain yield per plant exhibited positive direct effect on grain yield. Among all traits examined, panicle weight had the highest significant positive correlation and high positive direct effect. Stepwise regression showed that characters such as panicle weight, grain yield per plant, flag leaf, days to 50% flowering, effective tillers and 1000 grain weight contributed more to the total grain yield. Therefore, selections for the aforementioned characters will assist breeders in making good improvement in rice grain yield.

Published in American Journal of Agriculture and Forestry (Volume 9, Issue 3)
DOI 10.11648/j.ajaf.20210903.13
Page(s) 114-121
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

Oryza, Yield Components, Double Haploid, Genotypes, Path Coefficient and Correlation

References
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    Salim Hassan Kafi, Efisue Andrew Abiodun, Olasanmi Bunmi, Kang Kyung-Ho. (2021). Correlation Coefficient and Path Analyses of Yield and Yield Related Traits of Korean Double Haploid Rice for Germplasm Improvement in Nigeria. American Journal of Agriculture and Forestry, 9(3), 114-121. https://doi.org/10.11648/j.ajaf.20210903.13

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    ACS Style

    Salim Hassan Kafi; Efisue Andrew Abiodun; Olasanmi Bunmi; Kang Kyung-Ho. Correlation Coefficient and Path Analyses of Yield and Yield Related Traits of Korean Double Haploid Rice for Germplasm Improvement in Nigeria. Am. J. Agric. For. 2021, 9(3), 114-121. doi: 10.11648/j.ajaf.20210903.13

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    AMA Style

    Salim Hassan Kafi, Efisue Andrew Abiodun, Olasanmi Bunmi, Kang Kyung-Ho. Correlation Coefficient and Path Analyses of Yield and Yield Related Traits of Korean Double Haploid Rice for Germplasm Improvement in Nigeria. Am J Agric For. 2021;9(3):114-121. doi: 10.11648/j.ajaf.20210903.13

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  • @article{10.11648/j.ajaf.20210903.13,
      author = {Salim Hassan Kafi and Efisue Andrew Abiodun and Olasanmi Bunmi and Kang Kyung-Ho},
      title = {Correlation Coefficient and Path Analyses of Yield and Yield Related Traits of Korean Double Haploid Rice for Germplasm Improvement in Nigeria},
      journal = {American Journal of Agriculture and Forestry},
      volume = {9},
      number = {3},
      pages = {114-121},
      doi = {10.11648/j.ajaf.20210903.13},
      url = {https://doi.org/10.11648/j.ajaf.20210903.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20210903.13},
      abstract = {The success of plant breeding depends on the availability of genetic variation, knowledge about desired traits, and efficient selection strategies that make it possible to exploit existing genetic resource. This study was carried out at Africa Rice Center, International Institute of Tropical Agriculture (IITA) Ibadan, Nigeria, and 239 double haploid lines from Republic of Korea were established along with one of the rice mega varieties (FARO 44) as check. The experiment was conducted using Alpha lattice design with four blocks each planted with 60 entries in two replications. Analysis of variance revealed highly significant differences (P ≤ 0.001) among the genotypes indicating existence of variation among the genotypes. Correlation coefficient of the yield and its association traits revealed significantly positive correlation of grain yield with number of tillers, plant height, days to 50% flowering, panicle length, effective tillers, leaf area, leaf area index, fertility, biomass, panicle weight, number of grains per panicle and grain yield per plant, hence, selection for these traits can improve yield. Path coefficient analysis revealed that days to 50% flowering, leaf area index, fertility, biomass, panicle weight, number of grains per panicle and grain yield per plant exhibited positive direct effect on grain yield. Among all traits examined, panicle weight had the highest significant positive correlation and high positive direct effect. Stepwise regression showed that characters such as panicle weight, grain yield per plant, flag leaf, days to 50% flowering, effective tillers and 1000 grain weight contributed more to the total grain yield. Therefore, selections for the aforementioned characters will assist breeders in making good improvement in rice grain yield.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Correlation Coefficient and Path Analyses of Yield and Yield Related Traits of Korean Double Haploid Rice for Germplasm Improvement in Nigeria
    AU  - Salim Hassan Kafi
    AU  - Efisue Andrew Abiodun
    AU  - Olasanmi Bunmi
    AU  - Kang Kyung-Ho
    Y1  - 2021/05/20
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ajaf.20210903.13
    DO  - 10.11648/j.ajaf.20210903.13
    T2  - American Journal of Agriculture and Forestry
    JF  - American Journal of Agriculture and Forestry
    JO  - American Journal of Agriculture and Forestry
    SP  - 114
    EP  - 121
    PB  - Science Publishing Group
    SN  - 2330-8591
    UR  - https://doi.org/10.11648/j.ajaf.20210903.13
    AB  - The success of plant breeding depends on the availability of genetic variation, knowledge about desired traits, and efficient selection strategies that make it possible to exploit existing genetic resource. This study was carried out at Africa Rice Center, International Institute of Tropical Agriculture (IITA) Ibadan, Nigeria, and 239 double haploid lines from Republic of Korea were established along with one of the rice mega varieties (FARO 44) as check. The experiment was conducted using Alpha lattice design with four blocks each planted with 60 entries in two replications. Analysis of variance revealed highly significant differences (P ≤ 0.001) among the genotypes indicating existence of variation among the genotypes. Correlation coefficient of the yield and its association traits revealed significantly positive correlation of grain yield with number of tillers, plant height, days to 50% flowering, panicle length, effective tillers, leaf area, leaf area index, fertility, biomass, panicle weight, number of grains per panicle and grain yield per plant, hence, selection for these traits can improve yield. Path coefficient analysis revealed that days to 50% flowering, leaf area index, fertility, biomass, panicle weight, number of grains per panicle and grain yield per plant exhibited positive direct effect on grain yield. Among all traits examined, panicle weight had the highest significant positive correlation and high positive direct effect. Stepwise regression showed that characters such as panicle weight, grain yield per plant, flag leaf, days to 50% flowering, effective tillers and 1000 grain weight contributed more to the total grain yield. Therefore, selections for the aforementioned characters will assist breeders in making good improvement in rice grain yield.
    VL  - 9
    IS  - 3
    ER  - 

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Author Information
  • Life and Earth Sciences Institute, (Including Health and Agriculture), Pan African University, University of Ibadan, Ibadan, Nigeria

  • Department of Crop & Soil Science, University of Port Harcourt, Port Harcourt, Nigeria

  • Department of Agronomy, Faculty of Agriculture, University of Ibadan, Ibadan, Nigeria

  • Korea-Africa Food & Agriculture Cooperation Initiative (KAFACI), Suwon, Republic of Korea

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