Research Article | | Peer-Reviewed

Trait Correlations and Path Analysis for Kernel Yield Improvement in Groundnut (Arachis hypogaea L.) Genotypes

Received: 16 November 2024     Accepted: 5 December 2024     Published: 27 December 2024
Views:       Downloads:
Abstract

Groundnut (Arachis hypogaea L.), or peanut, is a self-pollinating legume valued for its oil-rich kernels and nitrogen-fixing roots. Given the limited availability of enriched germplasm in Ethiopia, indirect selection through association studies is pivotal for identifying traits linked to high kernel yield. This study evaluated fifteen groundnut genotypes using a Randomized Complete Block Design with three replications to analyze correlations and path coefficients for yield improvement. Significant differences among genotypes were observed for key traits, including days to flowering and maturity, number of mature pods per plant, 100-kernel weight, and kernel yield, indicating the presence of variability among the genotypes in terms of these traits. Correlation analysis revealed a significant negative phenotypic correlation between kernel yield and days to maturity, but positive correlations with number of mature pods per plant and number of kernels per pod. The result revealed that late maturing genotypes produce high number of pods in turn exhibit higher kernel yield than early maturing ones. Genotypic correlations reinforced these findings, highlighting number of mature pods per plant as a critical determinant of yield. Path coefficient analysis indicated that the number of mature pods per plant had the highest direct positive effect on kernel yield, suggesting that enhancing this trait could significantly boost productivity. These results underscore the importance of selecting for high number of mature pods per plant in groundnut breeding programs to enhance kernel yield.

Published in Advances in Bioscience and Bioengineering (Volume 12, Issue 4)
DOI 10.11648/j.abb.20241204.14
Page(s) 98-104
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

Genotypic Correlation, Kernel Yield, Phenotypic Correlation, Pod Per Plant, Shelling Percentage

References
[1] Yol, E., Ustun, R., Golukcu, M., & Uzun, B. (2017). Oil content, oil yield and fatty acid profile of groundnut germplasm in mediterranean climates. Journal of the American Oil Chemists' Society, 94(6), 787-804.
[2] Asibuo, J. Y., Akromah, R., Safo-Kantanka, O., Adu-Dapaah, H. K., Ohemeng-Dapaah, S., & Agyeman, A. (2008). Chemical composition of groundnut, Arachis hypogaea (L) landraces. African Journal of Biotechnology, 7(13).
[3] Janila, P., Nigam, S. N., Pandey, M. K., Nagesh, P., & Varshney, R. K. (2013). Groundnut improvement: use of genetic and genomic tools. Frontiers in plant science, 4, 23.
[4] FAO (Food and Agriculture Organization of the United Nations) (2021). Food and Agricultural Organization of the United Nations. URL:
[5] CSA (Central Statistical Agency of Ethiopia) (2021). Area and production of major crops. Addis Ababa, Ethiopia.
[6] Khairnar, S. S., & Monpara, B. A. (2013). Identification of potential traits and selection criteria for yield improvement in sesame (Sesamum indicum L.) genotypes under rainfed conditions. Iranian Journal of Genetics and Plant Breeding, 2(2), 1-8.
[7] Biabani, A. R., & Pakniyat, H. (2008). Evaluation of seed yield-related characters in sesame (Sesamum indicum L.) using factor and path analysis. Pakistan Journal of Biological Sciences: PJBS, 11(8), 1157-1160.
[8] Gelalcha, S., & Hanchinal, R. R. (2013). Correlation and path analysis in yield and yield components in spring bread wheat (Triticum aestivum L.) genotypes under irrigated condition in Southern India. African Journal of Agricultural Research, 8(24), 3186-3192.
[9] Coghlan, A. (2017). A little book of R for multivariate analysis. Welcome Sanger Institute.
[10] Gedifew, S., Demelash, H., Abate, A., & Abebe, T. D. (2024). Association of quantitative traits and genetic diversity in Ethiopian sesame (Sesamum indicum L.) genotypes. Heliyon.
[11] Anbessa, B. (2022). Characterizing the Soils of Asossa Agricultural Research Center Farm, with Closer Evaluation of Fertility Status, Asossa Western Ethiopia. J Soil Water Sci 6(2), 305-314.
[12] Sarwar, G., & Haq, M. A. (2006). Evaluation of sesame germplasm for genetic parameters and disease resistance. Journal of Agricultural Research, 44(2), 89–96.
[13] Popat, R. & Banakara, K. (2020). doebioresearch: Analysis of Design of Experiments for Biological Research. R package version 0.1.0.
[14] R Core Team (2023). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
[15] Olivoto, T., and Lúcio, A. D. (2020). metan: an R package for multi-environment trial analysis. Methods Ecol Evol. 11: 783-789.
[16] De Mendiburu, F., Simon, R. (2015). Agricolae-Ten years of an open-source statistical tool for experiments in breeding. Agriculture and biology, PeerJ PrePrints.
[17] Chandran, A. S., Prashant Kumar Rai, P., Lal, G. M., Kumar, R., & Yadav, B. (2016). Evaluation of Groundnut Genotypes for Agronomic and Seed Quality Traits. International Journal of Plant & Soil Science; 13(2): 1-7.
[18] Pachauri, P., & Shikarvar, R. S. (2019). Study on genetic variability, heritability and genetic advance in groundnut (Arachis hypogaea L.). International Journal of Chemical Studies; 7(4): 1768-1770.
[19] Belay, F., Meresa, H., & Syum, S. (2018). Variation and association for kernel yield and yield related traits of released groundnut (Arachis hypogaea L.) varieties in Abergelle district, northern Ethiopia. Journal of Medicinal Plants Studies, 6, 265-271.
Cite This Article
  • APA Style

    Gedifew, S. (2024). Trait Correlations and Path Analysis for Kernel Yield Improvement in Groundnut (Arachis hypogaea L.) Genotypes. Advances in Bioscience and Bioengineering, 12(4), 98-104. https://doi.org/10.11648/j.abb.20241204.14

    Copy | Download

    ACS Style

    Gedifew, S. Trait Correlations and Path Analysis for Kernel Yield Improvement in Groundnut (Arachis hypogaea L.) Genotypes. Adv. BioSci. Bioeng. 2024, 12(4), 98-104. doi: 10.11648/j.abb.20241204.14

    Copy | Download

    AMA Style

    Gedifew S. Trait Correlations and Path Analysis for Kernel Yield Improvement in Groundnut (Arachis hypogaea L.) Genotypes. Adv BioSci Bioeng. 2024;12(4):98-104. doi: 10.11648/j.abb.20241204.14

    Copy | Download

  • @article{10.11648/j.abb.20241204.14,
      author = {Sintayehu Gedifew},
      title = {Trait Correlations and Path Analysis for Kernel Yield Improvement in Groundnut (Arachis hypogaea L.) Genotypes
    },
      journal = {Advances in Bioscience and Bioengineering},
      volume = {12},
      number = {4},
      pages = {98-104},
      doi = {10.11648/j.abb.20241204.14},
      url = {https://doi.org/10.11648/j.abb.20241204.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.abb.20241204.14},
      abstract = {Groundnut (Arachis hypogaea L.), or peanut, is a self-pollinating legume valued for its oil-rich kernels and nitrogen-fixing roots. Given the limited availability of enriched germplasm in Ethiopia, indirect selection through association studies is pivotal for identifying traits linked to high kernel yield. This study evaluated fifteen groundnut genotypes using a Randomized Complete Block Design with three replications to analyze correlations and path coefficients for yield improvement. Significant differences among genotypes were observed for key traits, including days to flowering and maturity, number of mature pods per plant, 100-kernel weight, and kernel yield, indicating the presence of variability among the genotypes in terms of these traits. Correlation analysis revealed a significant negative phenotypic correlation between kernel yield and days to maturity, but positive correlations with number of mature pods per plant and number of kernels per pod. The result revealed that late maturing genotypes produce high number of pods in turn exhibit higher kernel yield than early maturing ones. Genotypic correlations reinforced these findings, highlighting number of mature pods per plant as a critical determinant of yield. Path coefficient analysis indicated that the number of mature pods per plant had the highest direct positive effect on kernel yield, suggesting that enhancing this trait could significantly boost productivity. These results underscore the importance of selecting for high number of mature pods per plant in groundnut breeding programs to enhance kernel yield.
    },
     year = {2024}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Trait Correlations and Path Analysis for Kernel Yield Improvement in Groundnut (Arachis hypogaea L.) Genotypes
    
    AU  - Sintayehu Gedifew
    Y1  - 2024/12/27
    PY  - 2024
    N1  - https://doi.org/10.11648/j.abb.20241204.14
    DO  - 10.11648/j.abb.20241204.14
    T2  - Advances in Bioscience and Bioengineering
    JF  - Advances in Bioscience and Bioengineering
    JO  - Advances in Bioscience and Bioengineering
    SP  - 98
    EP  - 104
    PB  - Science Publishing Group
    SN  - 2330-4162
    UR  - https://doi.org/10.11648/j.abb.20241204.14
    AB  - Groundnut (Arachis hypogaea L.), or peanut, is a self-pollinating legume valued for its oil-rich kernels and nitrogen-fixing roots. Given the limited availability of enriched germplasm in Ethiopia, indirect selection through association studies is pivotal for identifying traits linked to high kernel yield. This study evaluated fifteen groundnut genotypes using a Randomized Complete Block Design with three replications to analyze correlations and path coefficients for yield improvement. Significant differences among genotypes were observed for key traits, including days to flowering and maturity, number of mature pods per plant, 100-kernel weight, and kernel yield, indicating the presence of variability among the genotypes in terms of these traits. Correlation analysis revealed a significant negative phenotypic correlation between kernel yield and days to maturity, but positive correlations with number of mature pods per plant and number of kernels per pod. The result revealed that late maturing genotypes produce high number of pods in turn exhibit higher kernel yield than early maturing ones. Genotypic correlations reinforced these findings, highlighting number of mature pods per plant as a critical determinant of yield. Path coefficient analysis indicated that the number of mature pods per plant had the highest direct positive effect on kernel yield, suggesting that enhancing this trait could significantly boost productivity. These results underscore the importance of selecting for high number of mature pods per plant in groundnut breeding programs to enhance kernel yield.
    
    VL  - 12
    IS  - 4
    ER  - 

    Copy | Download

Author Information
  • Sections