Ecology and Evolutionary Biology

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Genetic Divergence Analysis Among Sesame (Sesamum indicum L.) Germplasm at Werer Ethiopia

Received: Mar. 15, 2023    Accepted: Jun. 08, 2023    Published: Oct. 14, 2023
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Abstract

This research was conducted to assess the extent and pattern of genetic variability and diversity among sesame accessions. A total of 64 sesame Accessions were evaluated in 8 x 8 lattice design with two replications at Werer Agricultural Research Center. Analysis of variance revealed that there was a statistically significant difference among the accessions for all traits except for 50% days to emergence and the number of seeds per pod. Principal components analysis showed the first five principal components viz. principal component one (21.9%), principal component two (11.00%), principal component three (15.6%), principal component four (18.3%), and principal component five (9.5) with a total contribution of 76.3% variation. The dendrogram was constructed using the Unweighted Pair-group Method with Arithmetic Means to separate Accessions into five distinct clusters. Sesame accessions with high seed yield and high mean values for other desirable traits were grouped into Cluster I and Cluster V. Cluster IV and Cluster V had the highest inter-cluster distance. Accession in Cluster V (Acc.241297) could be crossed with other clusters to come up with promising segregation for further improvement programs.

DOI 10.11648/j.eeb.20230804.11
Published in Ecology and Evolutionary Biology ( Volume 8, Issue 4, December 2023 )
Page(s) 74-81
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

Accessions, Clusters, Principal Component, Sesame

References
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  • APA Style

    Mesay Tadesse, Gudeta Nepir, Negash Geleta. (2023). Genetic Divergence Analysis Among Sesame (Sesamum indicum L.) Germplasm at Werer Ethiopia. Ecology and Evolutionary Biology, 8(4), 74-81. https://doi.org/10.11648/j.eeb.20230804.11

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    ACS Style

    Mesay Tadesse; Gudeta Nepir; Negash Geleta. Genetic Divergence Analysis Among Sesame (Sesamum indicum L.) Germplasm at Werer Ethiopia. Ecol. Evol. Biol. 2023, 8(4), 74-81. doi: 10.11648/j.eeb.20230804.11

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    AMA Style

    Mesay Tadesse, Gudeta Nepir, Negash Geleta. Genetic Divergence Analysis Among Sesame (Sesamum indicum L.) Germplasm at Werer Ethiopia. Ecol Evol Biol. 2023;8(4):74-81. doi: 10.11648/j.eeb.20230804.11

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  • @article{10.11648/j.eeb.20230804.11,
      author = {Mesay Tadesse and Gudeta Nepir and Negash Geleta},
      title = {Genetic Divergence Analysis Among Sesame (Sesamum indicum L.) Germplasm at Werer Ethiopia},
      journal = {Ecology and Evolutionary Biology},
      volume = {8},
      number = {4},
      pages = {74-81},
      doi = {10.11648/j.eeb.20230804.11},
      url = {https://doi.org/10.11648/j.eeb.20230804.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.eeb.20230804.11},
      abstract = {This research was conducted to assess the extent and pattern of genetic variability and diversity among sesame accessions. A total of 64 sesame Accessions were evaluated in 8 x 8 lattice design with two replications at Werer Agricultural Research Center. Analysis of variance revealed that there was a statistically significant difference among the accessions for all traits except for 50% days to emergence and the number of seeds per pod. Principal components analysis showed the first five principal components viz. principal component one (21.9%), principal component two (11.00%), principal component three (15.6%), principal component four (18.3%), and principal component five (9.5) with a total contribution of 76.3% variation. The dendrogram was constructed using the Unweighted Pair-group Method with Arithmetic Means to separate Accessions into five distinct clusters. Sesame accessions with high seed yield and high mean values for other desirable traits were grouped into Cluster I and Cluster V. Cluster IV and Cluster V had the highest inter-cluster distance. Accession in Cluster V (Acc.241297) could be crossed with other clusters to come up with promising segregation for further improvement programs.},
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - Genetic Divergence Analysis Among Sesame (Sesamum indicum L.) Germplasm at Werer Ethiopia
    AU  - Mesay Tadesse
    AU  - Gudeta Nepir
    AU  - Negash Geleta
    Y1  - 2023/10/14
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    DO  - 10.11648/j.eeb.20230804.11
    T2  - Ecology and Evolutionary Biology
    JF  - Ecology and Evolutionary Biology
    JO  - Ecology and Evolutionary Biology
    SP  - 74
    EP  - 81
    PB  - Science Publishing Group
    SN  - 2575-3762
    UR  - https://doi.org/10.11648/j.eeb.20230804.11
    AB  - This research was conducted to assess the extent and pattern of genetic variability and diversity among sesame accessions. A total of 64 sesame Accessions were evaluated in 8 x 8 lattice design with two replications at Werer Agricultural Research Center. Analysis of variance revealed that there was a statistically significant difference among the accessions for all traits except for 50% days to emergence and the number of seeds per pod. Principal components analysis showed the first five principal components viz. principal component one (21.9%), principal component two (11.00%), principal component three (15.6%), principal component four (18.3%), and principal component five (9.5) with a total contribution of 76.3% variation. The dendrogram was constructed using the Unweighted Pair-group Method with Arithmetic Means to separate Accessions into five distinct clusters. Sesame accessions with high seed yield and high mean values for other desirable traits were grouped into Cluster I and Cluster V. Cluster IV and Cluster V had the highest inter-cluster distance. Accession in Cluster V (Acc.241297) could be crossed with other clusters to come up with promising segregation for further improvement programs.
    VL  - 8
    IS  - 4
    ER  - 

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Author Information
  • Ethiopian Institute of Agricultural Research, Werer Agricultural Research Center, Addis Ababa, Ethiopia

  • Department of Plant Science, Ambo University, College of Agriculture and Veterinary Science, Ambo, Ethiopia

  • Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center, Addis Ababa, Ethiopia

  • Section