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Genetic Diversity of Elite Faba Bean (Vicia faba L.) Genotypes Based on Agronomic Traits and Soil Acidity Stress Indices

Received: 4 February 2022     Accepted: 1 March 2022     Published: 9 March 2022
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Abstract

Faba bean plays an important role in human food, animal feed and soil fertility restoration. However, its productivity is low due to soil acidity problem in the central highlands of Ethiopia. Hence, this study was designed to know the genetic diversity existing among 50 elite faba bean genotypes tested at three locations (Holetta, Watebecha Minjaro and Jeldu) in 2017 using randomized complete block design with three replications. The genetic distances estimated by Euclidean distances ranged from 1.55 to 15.60. The 50 genotypes were grouped in to 10 distinct clusters by Unweighted Pair group Method with Arithmetic Means clustering method based on Euclidian distances matrix estimated from overall mean of genotypes for 19 traits over locations and soil managements. Among the 10 clusters 5 were solitary (III, VI, VIII, IX and X) including the best and least performing genotypes CS20DK (IX) and Wayu (X), respectively. Cluster II consisted of soil acidity stress tolerance genotypes. The results of the first three principal components (PC) analysis accounted 84.32% of the total variations observed among genotypes of which PC1 and PC2 contributed 45.8 and 25.36%, respectively. In each PC single or few traits were not identified as having much contribution than others traits. In conclusion, cluster IX was found as best of all the other clusters in most of traits performance and genotypes grouped under cluster II, VI and VIII needs further evaluation to obtain genotypes with lowest relative yield reduction and stress susceptible index and resistant to chocolate spot disease with other desirable agronomic traits.

Published in American Journal of Bioscience and Bioengineering (Volume 10, Issue 1)
DOI 10.11648/j.bio.20221001.11
Page(s) 1-9
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

Cluster, Euclidean Distance, Principal Component Analysis

References
[1] FAOSTAT (Food and Agriculture Organization Statistics) (2018). Statistical database of agricultural production. Rome, Italy.
[2] CSA (Central Statistical Agency of Ethiopia) (2019/2020). Report on Area and Production of Major Crops (Private peasant holdings, meher season). Statistical Bulletin, Addis Ababa, Ethiopia, 1 (587): 9-17.
[3] Tadele M (2019). Breeding achievements of faba bean (Vicia faba L.) and its impact in the livelihood of Ethiopian farmers. Inter J Agri Biosci, 8 (5): 263-269.
[4] Diriba L, Mekbib F, Jarso M (2020). Performance of faba bean (Vicia faba L.) varieties grown under broomrape (Orobanche spp.) Infestation in South Tigray, Ethiopia. Afr. J. Agric. Res., 16 (8): 1101-1115. DOI: 10.5897/AJAR2018.13814.
[5] Upadhyaya HD, Dwivedi SL, Ambrose M, Ellis N, Berger J, Smy´kal P, Debouck D, Duc G, Dumet D, Flavell A, Sharma SK, Mallikarjuna N, Gowda CLL (2011). Legume genetic resources: Management, diversity assessment, and utilization in crop improvement. Euphytica 180: 27–47.
[6] Sukhjiwan K, Noel OIC, John WF, Jeffrey GP (2014). Assessment of Genetic Diversity in Faba Bean Based on Single Nucleotide Polymorphism. Diversity 6: 88-101; doi: 10.3390/d6010088.
[7] Chahal GS, Gosal SS (2002). Principles and procedures of plant breeding: Biotechnological and conventional approaches, (Alpha Science Int’l Ltd.).
[8] Duc G, Bao S, Baum M, Redden B, Sadiki M, Suso MJ, Vishniakova M, Zong X (2010). Diversity maintenance and use of Vicia faba L. genetic resources. Field Crops Research, 115: 270-278.
[9] Gemechu K, Mussa J, Tezera W, Getnet D (2005). Extent and pattern of genetic diversity for morpho-agronomic traits in Ethiopian highland pulse landraces II. Faba bean (Vicia faba L.). Genetic Resources and Crop Evolution, 52: 551–561.
[10] Bernier CC, Hanounik SB, Hussein MM, Mohamed HA (1993). Field manual of common Faba bean diseases in the Nile Valley, Inf. Bull. No. 3. International Centre for Agricultural Research in the Dry Areas (ICARDA).
[11] Manly BFJ (1986). Multivariate Statistical Methods: A Primer. Chapman and Hall. London.
[12] Sneath PH, Sokal RR (1973). Numerical taxonomy. Freeman and Company, San Fansisko, USA.
[13] Kumar V, Kato N, Urabe Y, Takahashi A, Muroyama R, Hosono N, Koike K (2011). Genome-wide association study identifies a susceptibility locus for HCV induced hepatocellular carcinoma. Nature genetics, 43 (5), 455-458.
[14] Million F (2012). Evaluation the performance of commercial faba bean (Vicia faba L.) varieties on some morpho-physiological and N-fixing Traits under Eastern Ethiopia. International Journal of Agronomy and Agricultural Research, 8 (2): 29-43.
[15] Million F, Habtam S (2012). Genetic Variability on Seed Yield and Related Traits of Elite Faba Bean (Vicia faba L.) Genotypes. Pakistan Journal of Biological Sciences, 15 (8): 380-385.
[16] Ghaderi A, Adams MW, Nassib AM (1984). Relationship between genetic distance and heterosis for yield and morphological traits in dry edible bean and faba bean. Crop Science 24: 37-24.
[17] Birhanu AG (2016). Evaluation of large seeded faba bean genotypes for agronomic performance in vertisol areas of Southern Tigray, Ethiopia. Journal of Plant Breeding and Crop Science, 8 (10): 182-188.
[18] Ali MK, Akinci C, Donmez E (2011). Assessment of genotype x environment interaction on yield and yield components of durum wheat genotypes by multivariate analyses. African Journal of Biotechnology, 10 (15): 2875-2885.
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    Mesfin Tadele, Wassu Mohammed, Mussa Jarso. (2022). Genetic Diversity of Elite Faba Bean (Vicia faba L.) Genotypes Based on Agronomic Traits and Soil Acidity Stress Indices. American Journal of Bioscience and Bioengineering, 10(1), 1-9. https://doi.org/10.11648/j.bio.20221001.11

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    ACS Style

    Mesfin Tadele; Wassu Mohammed; Mussa Jarso. Genetic Diversity of Elite Faba Bean (Vicia faba L.) Genotypes Based on Agronomic Traits and Soil Acidity Stress Indices. Am. J. BioSci. Bioeng. 2022, 10(1), 1-9. doi: 10.11648/j.bio.20221001.11

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    AMA Style

    Mesfin Tadele, Wassu Mohammed, Mussa Jarso. Genetic Diversity of Elite Faba Bean (Vicia faba L.) Genotypes Based on Agronomic Traits and Soil Acidity Stress Indices. Am J BioSci Bioeng. 2022;10(1):1-9. doi: 10.11648/j.bio.20221001.11

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  • @article{10.11648/j.bio.20221001.11,
      author = {Mesfin Tadele and Wassu Mohammed and Mussa Jarso},
      title = {Genetic Diversity of Elite Faba Bean (Vicia faba L.) Genotypes Based on Agronomic Traits and Soil Acidity Stress Indices},
      journal = {American Journal of Bioscience and Bioengineering},
      volume = {10},
      number = {1},
      pages = {1-9},
      doi = {10.11648/j.bio.20221001.11},
      url = {https://doi.org/10.11648/j.bio.20221001.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bio.20221001.11},
      abstract = {Faba bean plays an important role in human food, animal feed and soil fertility restoration. However, its productivity is low due to soil acidity problem in the central highlands of Ethiopia. Hence, this study was designed to know the genetic diversity existing among 50 elite faba bean genotypes tested at three locations (Holetta, Watebecha Minjaro and Jeldu) in 2017 using randomized complete block design with three replications. The genetic distances estimated by Euclidean distances ranged from 1.55 to 15.60. The 50 genotypes were grouped in to 10 distinct clusters by Unweighted Pair group Method with Arithmetic Means clustering method based on Euclidian distances matrix estimated from overall mean of genotypes for 19 traits over locations and soil managements. Among the 10 clusters 5 were solitary (III, VI, VIII, IX and X) including the best and least performing genotypes CS20DK (IX) and Wayu (X), respectively. Cluster II consisted of soil acidity stress tolerance genotypes. The results of the first three principal components (PC) analysis accounted 84.32% of the total variations observed among genotypes of which PC1 and PC2 contributed 45.8 and 25.36%, respectively. In each PC single or few traits were not identified as having much contribution than others traits. In conclusion, cluster IX was found as best of all the other clusters in most of traits performance and genotypes grouped under cluster II, VI and VIII needs further evaluation to obtain genotypes with lowest relative yield reduction and stress susceptible index and resistant to chocolate spot disease with other desirable agronomic traits.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Genetic Diversity of Elite Faba Bean (Vicia faba L.) Genotypes Based on Agronomic Traits and Soil Acidity Stress Indices
    AU  - Mesfin Tadele
    AU  - Wassu Mohammed
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    T2  - American Journal of Bioscience and Bioengineering
    JF  - American Journal of Bioscience and Bioengineering
    JO  - American Journal of Bioscience and Bioengineering
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    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.bio.20221001.11
    AB  - Faba bean plays an important role in human food, animal feed and soil fertility restoration. However, its productivity is low due to soil acidity problem in the central highlands of Ethiopia. Hence, this study was designed to know the genetic diversity existing among 50 elite faba bean genotypes tested at three locations (Holetta, Watebecha Minjaro and Jeldu) in 2017 using randomized complete block design with three replications. The genetic distances estimated by Euclidean distances ranged from 1.55 to 15.60. The 50 genotypes were grouped in to 10 distinct clusters by Unweighted Pair group Method with Arithmetic Means clustering method based on Euclidian distances matrix estimated from overall mean of genotypes for 19 traits over locations and soil managements. Among the 10 clusters 5 were solitary (III, VI, VIII, IX and X) including the best and least performing genotypes CS20DK (IX) and Wayu (X), respectively. Cluster II consisted of soil acidity stress tolerance genotypes. The results of the first three principal components (PC) analysis accounted 84.32% of the total variations observed among genotypes of which PC1 and PC2 contributed 45.8 and 25.36%, respectively. In each PC single or few traits were not identified as having much contribution than others traits. In conclusion, cluster IX was found as best of all the other clusters in most of traits performance and genotypes grouped under cluster II, VI and VIII needs further evaluation to obtain genotypes with lowest relative yield reduction and stress susceptible index and resistant to chocolate spot disease with other desirable agronomic traits.
    VL  - 10
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Author Information
  • Holetta Agricultural Research Center, Ethiopian Institute of Agricultural Research, Addis Ababa, Ethiopia

  • School of Plant Science, Haramaya University, Dire Dawa, Ethiopia

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

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