American Journal of Bioscience and Bioengineering

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Genetic Diversity Analysis for Some Desi Type Chickpea (Cicer arietinum L.) Advanced Lines Under Potential Environment of North Gondar, Ethiopia

Received: Apr. 24, 2020    Accepted: May 18, 2020    Published: Jun. 08, 2020
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Abstract

The present study was conducted in 100 promising chickpea (Cicer arietinum L.) genotypes using Mahalanobis D2 Statistics. The divergence (D2) analysis revealed that the 100 chickpea genotypes were grouped into nine significant clusters. The intra-cluster distance values were ranged from 5.3 (cluster IV) to 77.8 (cluster VIII). The highest inter cluster distance were observed between genotypes of cluster I and cluster VIII (874.5) followed by cluster I and cluster II (837.4), cluster I and cluster V (759.3), cluster I and cluster III (480.4), cluster I and cluster VII (413.7), cluster IV and cluster VIII (390.9), cluster II and cluster IV (377.5) and Cluster II and cluster VI (309.4), cluster I and cluster IX (300.4), cluster I and cluster IV (295.2), cluster IV and cluster V (287.2). The lowest inter cluster distance (81.6) were found between cluster VI and cluster IX followed by cluster II and cluster VII (81.8), cluster III and cluster VII (87.4), cluster IV and cluster VI (90.6), cluster II and cluster III (93.6), indicating existence of closer proximity between these clusters. Based on inter cluster distances and Per se performance, hybridization among the genotypes from these clusters which showed maximum distance might produce high yielding varieties having broad genetic base. In general the genotypes JV-11, IE-16-059/1, iccx-090013-f2-p215-BP, DZ-2012-CX-0028, iccx-060045-f3-p5-BP, iccx-060039-f3-p182-BP may serve as potential parents for grain yield. IE-16-109/2, iccx-0900013-f2-p107-BP, icc-6279, JG-62, icc-15614, IE-16-059/2 can be also a parental line for earliness, while iccx-090013-f2-p265-BP, iccx-090013-f2-p107-BP, iccx-090013-f2-p103-BP, iccx-090013-f2-p215-BP for hundred seed weight. IE-16-109/2, icc-14778, icc-510, DZ-2012-CK-0253, icc-5135 also be a potential parental line for quality character of crude protein. Generally genotypes listed above may serve as a parental lines for hybridization program in the improvement of chickpea grain yield and its contributing trait.

DOI 10.11648/j.bio.20200802.12
Published in American Journal of Bioscience and Bioengineering ( Volume 8, Issue 2, April 2020 )
Page(s) 27-35
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

Chickpea, Cluster Analysis, D2 Statistics, Inter Cluster Distance and Intra Cluster Distance

References
[1] Aliu, S., Kaul, H. P., Rusinovci, I., Shala-Mayrhofer, V., Fetahu, S., & Zeka, D. (2016). Genetic diversity for some nutritive traits of chickpea (Cicer arietinum L.) from different regions in Kosova. Turkish Journal of Field Crops, 21 (1), 156–161. https://doi.org/10.17557/tjfc.57905.
[2] Baranwal, D. (2016). Assessment of genetic diversity based on cluster and principal component analyses for yield and its contributing characters in bitter gourd. International Research Journal of Plant Scince 2 (6): 126-133.
[3] CGIAR. (2010). Pulses Value Chain in Ethiopia. Sustainable Solution for Ending Hunger and Poverity, 1–44.
[4] Farshadfar, M., & Farshadfar, E. (2008). Genetic Variability and Path Analysis of Chickpea (Cicer arientinum L.) Landraces and Lines, (December). https://doi.org/10.3923/jas.2008.3951.3956.
[5] Ghafoor, A., Gulbaaz, F. N., Arshad, M. (2003). Inter-relationship between SDS-Page markers and agronomic characters in chickpea {Cicer arietinum L.). Pakistan J. Bot., 613–624.
[6] Halluer, A. R. and Miranda J. B. (1988). Quantitative Genetics in Maize Breeding (second ed.), Iowa State University Press, Ames, IA, USA pp 315-356.
[7] Jagadev P. N., S. K. M. and L. D. (1991). Genetic divergence in rape mustard. The Indian Journal of Genetics and Plant Breeding, 465–467.
[8] Jakhar, D. A. N. S. (2014).”Genetic diversity studies in chickpea (cicer arietinum l.)’’ master of science (agriculture)”genetic diversity studies in chickpea (cicer arietinum l.) ’’ master of science (Agriculture), 722.
[9] Jing, R. A., Vershinin, J. Grzebyta, P. Shaw, P. Smýkal, D. Marshall, M. J. Ambose, T. N. Ellis and A. J. Flavell (2010). The genetic diversity and evolution of field pea studied by high throughput retrotransposon based insertion polymorphism (RBIP) marker analysis, BMC Evolutionary Biology, 10, pp. 1-20.
[10] Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement Karaoz (Vol. 20, p. 141–151.).
[11] Mahalanobis, P. (1936). On the generalised distance in statistics. Proceedings National Institute of Science, India. Retrieved from Http://Ir. Isical. Ac. in/Dspace/Handle/1/1268., (Vol. 2,), 49–55.
[12] Mahalanobis, P. C. (1936). the Generalized Distance in Statistics. In Proceedings of the National Institute of Science of India, (Vol. 2, p. 49–55.).
[13] Parashi, V., Lad, D., & Mahse, L. (2013). Genetic diversity studies in chickpea (Cicer arietinum L.). A Quarterly Journal, 7 (09), 2757–2763. Retrieved from http://ijpp.indianjournals.com/ijor.aspx?target=ijor:bil&volume=10&issue=1b&article=047
[14] Rao, C. R. (1952). Advanced Statistical Methods in Biometrical Research. Johan Willy and Sons.
[15] Upadhyaya, H. D., Thudi, M., Dronavalli, N., Gujaria, N., Singh, S., Sharma, S., & Varshney, R. K. (2011). Genomic tools and germplasm diversity for chickpea improvement. Plant Genetic Resources: Characterisation and Utilisation (Vol. 9). https://doi.org/10.1017/S1479262110000468.
[16] Vijayaraje, R., Krishi, S., Vidyalaya, V., & Gwalior, M. P. (2015). Study on Genetic Divergence in Chickpea (Cicer arietinium L) Submitted to the In Department of Plant Breeding and Genetics Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior.
[17] Wossen, T. (2017). Determination of optimum rates of nitrogen and phosphorus fertilization for white cumin, 7 (2), 460–463.
[18] Zhou, M., & Ambev, K. I. (2012). determine how chickpea genotypes react to high temperatures and how they can be used in the improvement program for elevated temperatures, 26 (4), 1–82. https://doi.org/10.16528/j.cnki.22-1054/f.2015.05.004.
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    Amare Tsehaye, Asnake Fikre. (2020). Genetic Diversity Analysis for Some Desi Type Chickpea (Cicer arietinum L.) Advanced Lines Under Potential Environment of North Gondar, Ethiopia. American Journal of Bioscience and Bioengineering, 8(2), 27-35. https://doi.org/10.11648/j.bio.20200802.12

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    Amare Tsehaye; Asnake Fikre. Genetic Diversity Analysis for Some Desi Type Chickpea (Cicer arietinum L.) Advanced Lines Under Potential Environment of North Gondar, Ethiopia. Am. J. BioSci. Bioeng. 2020, 8(2), 27-35. doi: 10.11648/j.bio.20200802.12

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    AMA Style

    Amare Tsehaye, Asnake Fikre. Genetic Diversity Analysis for Some Desi Type Chickpea (Cicer arietinum L.) Advanced Lines Under Potential Environment of North Gondar, Ethiopia. Am J BioSci Bioeng. 2020;8(2):27-35. doi: 10.11648/j.bio.20200802.12

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  • @article{10.11648/j.bio.20200802.12,
      author = {Amare Tsehaye and Asnake Fikre},
      title = {Genetic Diversity Analysis for Some Desi Type Chickpea (Cicer arietinum L.) Advanced Lines Under Potential Environment of North Gondar, Ethiopia},
      journal = {American Journal of Bioscience and Bioengineering},
      volume = {8},
      number = {2},
      pages = {27-35},
      doi = {10.11648/j.bio.20200802.12},
      url = {https://doi.org/10.11648/j.bio.20200802.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.bio.20200802.12},
      abstract = {The present study was conducted in 100 promising chickpea (Cicer arietinum L.) genotypes using Mahalanobis D2 Statistics. The divergence (D2) analysis revealed that the 100 chickpea genotypes were grouped into nine significant clusters. The intra-cluster distance values were ranged from 5.3 (cluster IV) to 77.8 (cluster VIII). The highest inter cluster distance were observed between genotypes of cluster I and cluster VIII (874.5) followed by cluster I and cluster II (837.4), cluster I and cluster V (759.3), cluster I and cluster III (480.4), cluster I and cluster VII (413.7), cluster IV and cluster VIII (390.9), cluster II and cluster IV (377.5) and Cluster II and cluster VI (309.4), cluster I and cluster IX (300.4), cluster I and cluster IV (295.2), cluster IV and cluster V (287.2). The lowest inter cluster distance (81.6) were found between cluster VI and cluster IX followed by cluster II and cluster VII (81.8), cluster III and cluster VII (87.4), cluster IV and cluster VI (90.6), cluster II and cluster III (93.6), indicating existence of closer proximity between these clusters. Based on inter cluster distances and Per se performance, hybridization among the genotypes from these clusters which showed maximum distance might produce high yielding varieties having broad genetic base. In general the genotypes JV-11, IE-16-059/1, iccx-090013-f2-p215-BP, DZ-2012-CX-0028, iccx-060045-f3-p5-BP, iccx-060039-f3-p182-BP may serve as potential parents for grain yield. IE-16-109/2, iccx-0900013-f2-p107-BP, icc-6279, JG-62, icc-15614, IE-16-059/2 can be also a parental line for earliness, while iccx-090013-f2-p265-BP, iccx-090013-f2-p107-BP, iccx-090013-f2-p103-BP, iccx-090013-f2-p215-BP for hundred seed weight. IE-16-109/2, icc-14778, icc-510, DZ-2012-CK-0253, icc-5135 also be a potential parental line for quality character of crude protein. Generally genotypes listed above may serve as a parental lines for hybridization program in the improvement of chickpea grain yield and its contributing trait.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Genetic Diversity Analysis for Some Desi Type Chickpea (Cicer arietinum L.) Advanced Lines Under Potential Environment of North Gondar, Ethiopia
    AU  - Amare Tsehaye
    AU  - Asnake Fikre
    Y1  - 2020/06/08
    PY  - 2020
    N1  - https://doi.org/10.11648/j.bio.20200802.12
    DO  - 10.11648/j.bio.20200802.12
    T2  - American Journal of Bioscience and Bioengineering
    JF  - American Journal of Bioscience and Bioengineering
    JO  - American Journal of Bioscience and Bioengineering
    SP  - 27
    EP  - 35
    PB  - Science Publishing Group
    SN  - 2328-5893
    UR  - https://doi.org/10.11648/j.bio.20200802.12
    AB  - The present study was conducted in 100 promising chickpea (Cicer arietinum L.) genotypes using Mahalanobis D2 Statistics. The divergence (D2) analysis revealed that the 100 chickpea genotypes were grouped into nine significant clusters. The intra-cluster distance values were ranged from 5.3 (cluster IV) to 77.8 (cluster VIII). The highest inter cluster distance were observed between genotypes of cluster I and cluster VIII (874.5) followed by cluster I and cluster II (837.4), cluster I and cluster V (759.3), cluster I and cluster III (480.4), cluster I and cluster VII (413.7), cluster IV and cluster VIII (390.9), cluster II and cluster IV (377.5) and Cluster II and cluster VI (309.4), cluster I and cluster IX (300.4), cluster I and cluster IV (295.2), cluster IV and cluster V (287.2). The lowest inter cluster distance (81.6) were found between cluster VI and cluster IX followed by cluster II and cluster VII (81.8), cluster III and cluster VII (87.4), cluster IV and cluster VI (90.6), cluster II and cluster III (93.6), indicating existence of closer proximity between these clusters. Based on inter cluster distances and Per se performance, hybridization among the genotypes from these clusters which showed maximum distance might produce high yielding varieties having broad genetic base. In general the genotypes JV-11, IE-16-059/1, iccx-090013-f2-p215-BP, DZ-2012-CX-0028, iccx-060045-f3-p5-BP, iccx-060039-f3-p182-BP may serve as potential parents for grain yield. IE-16-109/2, iccx-0900013-f2-p107-BP, icc-6279, JG-62, icc-15614, IE-16-059/2 can be also a parental line for earliness, while iccx-090013-f2-p265-BP, iccx-090013-f2-p107-BP, iccx-090013-f2-p103-BP, iccx-090013-f2-p215-BP for hundred seed weight. IE-16-109/2, icc-14778, icc-510, DZ-2012-CK-0253, icc-5135 also be a potential parental line for quality character of crude protein. Generally genotypes listed above may serve as a parental lines for hybridization program in the improvement of chickpea grain yield and its contributing trait.
    VL  - 8
    IS  - 2
    ER  - 

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Author Information
  • Gondar Agricultural Research Center, Gondar, Ethiopia

  • Ethiopian Institute of Agricultural Research, Addis Ababa, Ethiopia

  • Section