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Mean Performance Evaluation and Cluster Analysis in Sunflower (Helianthus annus L) Genotypes Tested at Central Highland of Ethiopia

Received: 18 October 2023    Accepted: 1 November 2023    Published: 11 November 2023
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Abstract

Developing sunflower cultivars with better performance is the aim of the current breeding program. This study was conducted to evaluate sunflower genotypes along with their standard check for their mean performance and genetic diversity following different biometrician techniques. Twenty five sunflower genotypes were evaluated for their performance and variability for yield and yield related traits. It was conducted at two locations namely; Holeta and Adadi using simple lattice design. All recommended packages were followed as per national recommendation. Data were recorded for eleven quantitative traits and subjected to analysis of variance and divergence analysis using a combination of software. The mean performance evaluation indicates that genotype NK-KONDI-SPS-7/-had the highest yield mean and genotype Brazil Long seed PL2-SPS-3/4 recorded the lowest yield mean. Based on relative magnitude of D2 values the genotypes were grouped in five clusters. cluster I comprised of five genotypes while cluster II, clusterIII, clusterIV and cluster V comprised of seven, five, four and four genotypes respectively. The index of genetic diversity shown by the statistical distance indicates cluster- had the highest intra cluster distance and cluster- had the lowest intra cluster distance. The highest inter cluster distance was observed between cluster three and cluster four whereas the lowest inter cluster distance was noticed between cluster one and cluster four.

Published in World Journal of Agricultural Science and Technology (Volume 1, Issue 4)
DOI 10.11648/j.wjast.20230104.17
Page(s) 122-127
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

Cluster Analysis, Genetic Divergence, Helianthus annus L., Means Performance

References
[1] Khan AK, Iqbal I, Ahmad I, Nawaz H, Nawaz M (2014) Role of proline to induce salinity tolerance in sunflower (Helianthus annuus L.). Sci Tech Dev 33: 88–93.
[2] Kholghi, M., Bernousi, I., Darvishzadeh, R. and Pirzad, A. 2011. Correlation and path-coefficient analysis of seed yield and yield related trait in Iranian confectionery sunflower populations. African Journal of Biotechnology, 10(61): 13058-13063.
[3] Hu, J., Seiler, G. and Kole, C., 2010. Genetics, genomics and breeding of sunflower. Routledge, USA, 342.
[4] Demirer, T., Özer, I., Koçturk, O. M. and Yesilyurt, Er. A. 2004. Effect of Different Leaf Fertilizers on Yield and Quality in Sunflower (Helianthus annuus L.). Pakistan Journal of Biological Sciences 7(3): 384-388.
[5] Madhavi Latha, K. (2017). Genetic divergence and association studies in sunflower (Helianthus annuus L.). Acharya NG Ranga Agricultural University.
[6] Singh, N., Choudhury, D. R., Tiwari, G. et al. Genetic diversity trend in Indian rice varieties: an analysis using SSR markers. BMC Genet 17, 127 (2016). https://doi.org/10.1186/s12863-016-0437-7.
[7] Hussain MM, Rauf S, Riaz MA, Al-Khayri JM, Monneveux P (2017) Determination of drought tolerance related traits in Helianthus argophyllus, Helianthus annuus and their hybrids. Breed Sci 67(3): 257–267.
[8] Jain, L. K. 2016. Impact assessment of front line demonstrations on green gram in Barmer district of Western Rajasthan. Journal of Food Legumes, 29 (3 & 4): 249-252.
[9] Kumar, S., Tiwari, R. K., Ashthana, R. K. and Kumar, Shailesh, 2018. Evaluation of different dultivars of lentil under clusterfront line demonstration programme in Samastipur District, Bihar. Journal of Community Mobilization and Sustainable Development. 13 (2): 271- 274.
[10] Sanjay Kumar, R. K. Tiwari, Shailesh Kumar, Ranjan Kumar, Sanchita Ghosh, Bharati Upadhaya, Nisha Rani and Vidyapati Choudhary. 2020. Performance Evaluation of Sunflower (Helianthus annus L.) under Cluster Front Line Demonstration Programme in Samastipur District, Bihar, India. Int. J. Curr. Microbiol. App. Sci. 9(05): 310-315. doi: https://doi.org/10.20546/ijcmas.2020.905.033
[11] Sultana, T. and A. Ghafoor. 2008. Genetic Diversity in ex-situ Conserved Lens culinaris for Botanical Descriptors, Biochemical and Molecular Markers and Identification of Landraces from Indigenous Genetic Resources of Pakistan. Journal of Integrative Plant Biology, 50(4): 484-490.
[12] Arshad, M., M. K. Ilyas and M. A. Khan. 2007. Genetic divergence and path coefficient analysis for seed yield traits in sunflower (Helianthus annuus L.) hybrids. Pak. J. Bot., 39(6): 2009-2015.
[13] Shamshad M, Dhillon S K, Tyagi V and Akhatar J (2014). Assessment of genetic diversity in sunflower (Helianthus annuus L.) germplasm. Internat J Agric Food Sci Tech 4: 267-72.
[14] Tyagi V, Dhillon S K, Bajaj R K and Kaur J (2013) Divergence and association studies in sunflower (Helianthus annuus L.). Helia 36: 77-94.
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  • APA Style

    Abu, M. (2023). Mean Performance Evaluation and Cluster Analysis in Sunflower (Helianthus annus L) Genotypes Tested at Central Highland of Ethiopia. World Journal of Agricultural Science and Technology, 1(4), 122-127. https://doi.org/10.11648/j.wjast.20230104.17

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    ACS Style

    Abu, M. Mean Performance Evaluation and Cluster Analysis in Sunflower (Helianthus annus L) Genotypes Tested at Central Highland of Ethiopia. World J. Agric. Sci. Technol. 2023, 1(4), 122-127. doi: 10.11648/j.wjast.20230104.17

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    AMA Style

    Abu M. Mean Performance Evaluation and Cluster Analysis in Sunflower (Helianthus annus L) Genotypes Tested at Central Highland of Ethiopia. World J Agric Sci Technol. 2023;1(4):122-127. doi: 10.11648/j.wjast.20230104.17

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  • @article{10.11648/j.wjast.20230104.17,
      author = {Mohammed Abu},
      title = {Mean Performance Evaluation and Cluster Analysis in Sunflower (Helianthus annus L) Genotypes Tested at Central Highland of Ethiopia},
      journal = {World Journal of Agricultural Science and Technology},
      volume = {1},
      number = {4},
      pages = {122-127},
      doi = {10.11648/j.wjast.20230104.17},
      url = {https://doi.org/10.11648/j.wjast.20230104.17},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjast.20230104.17},
      abstract = {Developing sunflower cultivars with better performance is the aim of the current breeding program. This study was conducted to evaluate sunflower genotypes along with their standard check for their mean performance and genetic diversity following different biometrician techniques. Twenty five sunflower genotypes were evaluated for their performance and variability for yield and yield related traits. It was conducted at two locations namely; Holeta and Adadi using simple lattice design. All recommended packages were followed as per national recommendation. Data were recorded for eleven quantitative traits and subjected to analysis of variance and divergence analysis using a combination of software. The mean performance evaluation indicates that genotype NK-KONDI-SPS-7/-had the highest yield mean and genotype Brazil Long seed PL2-SPS-3/4 recorded the lowest yield mean. Based on relative magnitude of D2 values the genotypes were grouped in five clusters. cluster I comprised of five genotypes while cluster II, clusterIII, clusterIV and cluster V comprised of seven, five, four and four genotypes respectively. The index of genetic diversity shown by the statistical distance indicates cluster- had the highest intra cluster distance and cluster- had the lowest intra cluster distance. The highest inter cluster distance was observed between cluster three and cluster four whereas the lowest inter cluster distance was noticed between cluster one and cluster four.
    },
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - Mean Performance Evaluation and Cluster Analysis in Sunflower (Helianthus annus L) Genotypes Tested at Central Highland of Ethiopia
    AU  - Mohammed Abu
    Y1  - 2023/11/11
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    N1  - https://doi.org/10.11648/j.wjast.20230104.17
    DO  - 10.11648/j.wjast.20230104.17
    T2  - World Journal of Agricultural Science and Technology
    JF  - World Journal of Agricultural Science and Technology
    JO  - World Journal of Agricultural Science and Technology
    SP  - 122
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    PB  - Science Publishing Group
    SN  - 2994-7332
    UR  - https://doi.org/10.11648/j.wjast.20230104.17
    AB  - Developing sunflower cultivars with better performance is the aim of the current breeding program. This study was conducted to evaluate sunflower genotypes along with their standard check for their mean performance and genetic diversity following different biometrician techniques. Twenty five sunflower genotypes were evaluated for their performance and variability for yield and yield related traits. It was conducted at two locations namely; Holeta and Adadi using simple lattice design. All recommended packages were followed as per national recommendation. Data were recorded for eleven quantitative traits and subjected to analysis of variance and divergence analysis using a combination of software. The mean performance evaluation indicates that genotype NK-KONDI-SPS-7/-had the highest yield mean and genotype Brazil Long seed PL2-SPS-3/4 recorded the lowest yield mean. Based on relative magnitude of D2 values the genotypes were grouped in five clusters. cluster I comprised of five genotypes while cluster II, clusterIII, clusterIV and cluster V comprised of seven, five, four and four genotypes respectively. The index of genetic diversity shown by the statistical distance indicates cluster- had the highest intra cluster distance and cluster- had the lowest intra cluster distance. The highest inter cluster distance was observed between cluster three and cluster four whereas the lowest inter cluster distance was noticed between cluster one and cluster four.
    
    VL  - 1
    IS  - 4
    ER  - 

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Author Information
  • Ethiopian Institute of Agricultural Research, Holeta Agricultural Research Center, Holeta, Ethiopia

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