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Correlation and Path Analysis in Tomato (Lycopersicon esculentum MILL) Genotypes

Received: 17 May 2022     Accepted: 1 July 2022     Published: 17 August 2022
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Abstract

In Ethiopia, tomato is one of the most popular vegetables produced by small farmers and commercial growers for both local uses as well as processing industries. Considering the importance of tomato as one of the beneficial vegetables for both domestic consumption and export markets, it is important to increase its productivity along with desirable attributes through its genetic character. On the basis of its wide use and expansion potential the need for developing varieties that suite specific agro- ecological conditions and specific end use is clear. Thirty-six tomato genotypes were evaluated for yield contributing characters to observe their associations and direct and indirect effect on yield. Character association analysis among yield and yield contributing characters revealed that the genotypic correlation coefficient was higher than the respective phenotypic correlation coefficients in most cases. This indicated that the suppressive effect of the environment modified the phenotypic expression of these characters by reducing phenotypic correlation values. Also, narrow difference between phenotypic and genotypic correlation coefficient was noticed for almost all the pairs of characters studied showing that masking or modifying effects of the environment was little indicating the presence of an inherent association among these characters. Fruit diameter showed significant and positive association with yield/plant at genotypic level but all other characters had non-significant negative and positive association with yield/plant. Path coefficient analysis revealed that fruit shape index had the highest positive direct effects on fruit yield/plant suggesting their importance while imposing selection for correlation of yield in tomato.

Published in Ecology and Evolutionary Biology (Volume 7, Issue 3)
DOI 10.11648/j.eeb.20220703.12
Page(s) 46-53
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), 2022. Published by Science Publishing Group

Keywords

Correlation and Path Analysis, Tomato, Genotypes

References
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[3] Sharma J. C. & Ahmad Z. (1978). Indirect selection response in spring wheat. Indian Journal of Genetics and Plant Breeding. 38: 292-298.
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[5] Bhatt G. M. (1973). Significance of path coefficient analysis in determining the nature of characters association. Euphytica. 22: 338-393.
[6] Johnson H. W., Robinson H. F. & Comstock R. E. (1955). Estimates of genetic and environmental variability in soya bean. Agronomy Journal. 47: 314-318.
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[8] Dewey D. R. & Lu K. N. (1959). A correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomy Journal. 51: 515-518.
[9] Sonone A. H., More D. C. & Thombre M. V. (1987). Path analysis in tomato. Journal Maharashtra Agricultural University. 12: 115-116.
[10] Reddy M. L. & Gulshanlal N. (1999). Genetic variability and path coefficient analysis in tomato (Lycopersicon esculentum Mill.) under summer season. Progressive Horticultural. 19 (3-4): 284-288.
[11] Abayneh Esays, Demeke Tafase, Gebeyehu Belay and Kebede Agazegn. (2003). Soil of Kulumsa Agricultural Research Center. National Soil Research Center (NSRC), Soil survey and land evaluation, Technical Paper. No. 76.
[12] Tewodrores Mesfin, Girma Abebe & AL-Tawhu. AR. M. (2005). Effect of reduced tillage and crop residue ground cover and water use efficiency of Sorghum (Sorghum bicolor (L.) Moench)) under semiarid condition of Ethiopia. Journal Agricultural Sciece. 1: 152-160.
[13] Singh R. K. & Chaudhury B. D. (1985). Biometrical methods in Quantitative Genetic Analysis. Kalayoni Published. New Delhi. 318 pp.
[14] SAS Institute Inc. (2008). Statistical analysis Software version 9. 2. Cary, NC: SAS Institute Inc. USA.
[15] Islam B. M. R., Ivy N. A., Rasul M. G. & Zakaria M. (2010). Character Association and Path Analysis of Exotic Tomato (Solanum Lycopersicum L.) Genotypes. Bangladesh Journal of Plant Breeding Genetics. 23 (1): 13-18.
[16] Ahirwar S. C., Bahadur V., & Prakash V. (2013). Genetic variability, heritability and correlation studies in tomato genotypes (Lycopersicon esculentum Mill.). International Journal of Agricultural Sciences. 9 (1).
[17] Chandni E. N. (2014). Evaluation Correlation and Path Analysis in Tomato. MSc. Thesis Department of Horticulture Sher-E-Bangla Agricultural University. 87pp.
Cite This Article
  • APA Style

    Dasta Tsagaye, Andargachew Gadebo, Shimelis Aklilu. (2022). Correlation and Path Analysis in Tomato (Lycopersicon esculentum MILL) Genotypes. Ecology and Evolutionary Biology, 7(3), 46-53. https://doi.org/10.11648/j.eeb.20220703.12

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    ACS Style

    Dasta Tsagaye; Andargachew Gadebo; Shimelis Aklilu. Correlation and Path Analysis in Tomato (Lycopersicon esculentum MILL) Genotypes. Ecol. Evol. Biol. 2022, 7(3), 46-53. doi: 10.11648/j.eeb.20220703.12

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    AMA Style

    Dasta Tsagaye, Andargachew Gadebo, Shimelis Aklilu. Correlation and Path Analysis in Tomato (Lycopersicon esculentum MILL) Genotypes. Ecol Evol Biol. 2022;7(3):46-53. doi: 10.11648/j.eeb.20220703.12

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  • @article{10.11648/j.eeb.20220703.12,
      author = {Dasta Tsagaye and Andargachew Gadebo and Shimelis Aklilu},
      title = {Correlation and Path Analysis in Tomato (Lycopersicon esculentum MILL) Genotypes},
      journal = {Ecology and Evolutionary Biology},
      volume = {7},
      number = {3},
      pages = {46-53},
      doi = {10.11648/j.eeb.20220703.12},
      url = {https://doi.org/10.11648/j.eeb.20220703.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eeb.20220703.12},
      abstract = {In Ethiopia, tomato is one of the most popular vegetables produced by small farmers and commercial growers for both local uses as well as processing industries. Considering the importance of tomato as one of the beneficial vegetables for both domestic consumption and export markets, it is important to increase its productivity along with desirable attributes through its genetic character. On the basis of its wide use and expansion potential the need for developing varieties that suite specific agro- ecological conditions and specific end use is clear. Thirty-six tomato genotypes were evaluated for yield contributing characters to observe their associations and direct and indirect effect on yield. Character association analysis among yield and yield contributing characters revealed that the genotypic correlation coefficient was higher than the respective phenotypic correlation coefficients in most cases. This indicated that the suppressive effect of the environment modified the phenotypic expression of these characters by reducing phenotypic correlation values. Also, narrow difference between phenotypic and genotypic correlation coefficient was noticed for almost all the pairs of characters studied showing that masking or modifying effects of the environment was little indicating the presence of an inherent association among these characters. Fruit diameter showed significant and positive association with yield/plant at genotypic level but all other characters had non-significant negative and positive association with yield/plant. Path coefficient analysis revealed that fruit shape index had the highest positive direct effects on fruit yield/plant suggesting their importance while imposing selection for correlation of yield in tomato.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Correlation and Path Analysis in Tomato (Lycopersicon esculentum MILL) Genotypes
    AU  - Dasta Tsagaye
    AU  - Andargachew Gadebo
    AU  - Shimelis Aklilu
    Y1  - 2022/08/17
    PY  - 2022
    N1  - https://doi.org/10.11648/j.eeb.20220703.12
    DO  - 10.11648/j.eeb.20220703.12
    T2  - Ecology and Evolutionary Biology
    JF  - Ecology and Evolutionary Biology
    JO  - Ecology and Evolutionary Biology
    SP  - 46
    EP  - 53
    PB  - Science Publishing Group
    SN  - 2575-3762
    UR  - https://doi.org/10.11648/j.eeb.20220703.12
    AB  - In Ethiopia, tomato is one of the most popular vegetables produced by small farmers and commercial growers for both local uses as well as processing industries. Considering the importance of tomato as one of the beneficial vegetables for both domestic consumption and export markets, it is important to increase its productivity along with desirable attributes through its genetic character. On the basis of its wide use and expansion potential the need for developing varieties that suite specific agro- ecological conditions and specific end use is clear. Thirty-six tomato genotypes were evaluated for yield contributing characters to observe their associations and direct and indirect effect on yield. Character association analysis among yield and yield contributing characters revealed that the genotypic correlation coefficient was higher than the respective phenotypic correlation coefficients in most cases. This indicated that the suppressive effect of the environment modified the phenotypic expression of these characters by reducing phenotypic correlation values. Also, narrow difference between phenotypic and genotypic correlation coefficient was noticed for almost all the pairs of characters studied showing that masking or modifying effects of the environment was little indicating the presence of an inherent association among these characters. Fruit diameter showed significant and positive association with yield/plant at genotypic level but all other characters had non-significant negative and positive association with yield/plant. Path coefficient analysis revealed that fruit shape index had the highest positive direct effects on fruit yield/plant suggesting their importance while imposing selection for correlation of yield in tomato.
    VL  - 7
    IS  - 3
    ER  - 

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Author Information
  • Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center, Assella, Ethiopia

  • Shool of Plant and Horticultural Sciences, Hawassa University College of Agriculture, Hawassa, Ethiopia

  • Ethiopian Institute of Agricultural Research, Melkassa Agricultural Research Center, Adema, Ethiopia

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