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

Mesfin Tadele; Wassu Mohammed; Mussa Jarso

doi:doi:10.11648/j.bio.20221001.11

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

Mesfin Tadele, Wassu Mohammed, Mussa Jarso

Published in American Journal of Bioscience and Bioengineering (Volume 10, Issue 1)

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), 2024. Published by Science Publishing Group

Keywords

Cluster, Euclidean Distance, Principal Component Analysis

References

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[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.
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APA Style

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
AU  - Mussa Jarso
Y1  - 2022/03/09
PY  - 2022
N1  - https://doi.org/10.11648/j.bio.20221001.11
DO  - 10.11648/j.bio.20221001.11
T2  - American Journal of Bioscience and Bioengineering
JF  - American Journal of Bioscience and Bioengineering
JO  - American Journal of Bioscience and Bioengineering
SP  - 1
EP  - 9
PB  - Science Publishing Group
SN  - 2328-5893
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
IS  - 1
ER  -

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Author Information

Mesfin Tadele

Holetta Agricultural Research Center, Ethiopian Institute of Agricultural Research, Addis Ababa, Ethiopia
Wassu Mohammed

School of Plant Science, Haramaya University, Dire Dawa, Ethiopia
Mussa Jarso

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

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APA Style

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
AU  - Mussa Jarso
Y1  - 2022/03/09
PY  - 2022
N1  - https://doi.org/10.11648/j.bio.20221001.11
DO  - 10.11648/j.bio.20221001.11
T2  - American Journal of Bioscience and Bioengineering
JF  - American Journal of Bioscience and Bioengineering
JO  - American Journal of Bioscience and Bioengineering
SP  - 1
EP  - 9
PB  - Science Publishing Group
SN  - 2328-5893
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
IS  - 1
ER  -

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