Genetic Variability in Soybean (Glycine Max L.) Genotypes for Morphological Traits in Southwestern Ethiopia

Masreshaw Yirga; Yechalew Sileshi

doi:doi:10.11648/j.bio.20231102.11

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Genetic Variability in Soybean (Glycine Max L.) Genotypes for Morphological Traits in Southwestern Ethiopia

Masreshaw Yirga, Yechalew Sileshi

Published in American Journal of Bioscience and Bioengineering (Volume 11, Issue 2)

Received: 24 July 2023 Accepted: 9 August 2023 Published: 22 August 2023

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Abstract

Genetic variability assessment in is paramount important for soybean variety development program. The field experiment was conducted at Jimma and Metu, south western Ethiopia for two year during 2017-2018 main cropping season to estimate the extent of genetic variability in 64 soybean genotypes for morpho-agronomic traits. The trial was laid down in simple lattice design. The combined analysis of variance revealed the presence of significant (P<0.01) variation among the tested genotypes for all the traits. The maximum grain yield per hectare was recorded on variety; Coker240 (3.09 t/ha each) followed by genotype PI567104B (3.00 t/ha), PI567054C (2.85 t/ha) and G 7955-C3RPP (2.82 t/ha), while the minimum yield was scored from PI416826A (1.33t/ha). The performance of the tested genotypes also showed resistance to moderately resistance to soybean rust. Maximum disease score was recorded from genotype PI567090 (25.52%), while the minimum was from PI594538A (3.78%). combined high genotypic coefficients of variation (GCV), high heritability (H²) and high genetic advance as present of mean (GAM) were recorded for plant height (71.48%, 98.51% and 146.36%), number of pod (79.58%, 89.39% and 155.22%), number of seed (113.92%, 88.49% and 221.09%), hundred seed weight (62.28%, 74.10% and 110.60%) and grain yield (36.97%, 83.22% and 69.57%), which denotes, these traits can be improved through direct selection more easily than other traits. Therefore, this research finding showed the existence of enormous genetic variability among soybean genotypes for various important morphological traits.

Published in	American Journal of Bioscience and Bioengineering (Volume 11, Issue 2)
DOI	10.11648/j.bio.20231102.11
Page(s)	14-19
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), 2023. Published by Science Publishing Group

Keywords

GCV, PCV, H², GA

References

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APA Style

Masreshaw Yirga, Yechalew Sileshi. (2023). Genetic Variability in Soybean (Glycine Max L.) Genotypes for Morphological Traits in Southwestern Ethiopia. American Journal of Bioscience and Bioengineering, 11(2), 14-19. https://doi.org/10.11648/j.bio.20231102.11

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ACS Style

Masreshaw Yirga; Yechalew Sileshi. Genetic Variability in Soybean (Glycine Max L.) Genotypes for Morphological Traits in Southwestern Ethiopia. Am. J. BioSci. Bioeng. 2023, 11(2), 14-19. doi: 10.11648/j.bio.20231102.11

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AMA Style

Masreshaw Yirga, Yechalew Sileshi. Genetic Variability in Soybean (Glycine Max L.) Genotypes for Morphological Traits in Southwestern Ethiopia. Am J BioSci Bioeng. 2023;11(2):14-19. doi: 10.11648/j.bio.20231102.11

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@article{10.11648/j.bio.20231102.11,
  author = {Masreshaw Yirga and Yechalew Sileshi},
  title = {Genetic Variability in Soybean (Glycine Max L.) Genotypes for Morphological Traits in Southwestern Ethiopia},
  journal = {American Journal of Bioscience and Bioengineering},
  volume = {11},
  number = {2},
  pages = {14-19},
  doi = {10.11648/j.bio.20231102.11},
  url = {https://doi.org/10.11648/j.bio.20231102.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bio.20231102.11},
  abstract = {Genetic variability assessment in is paramount important for soybean variety development program. The field experiment was conducted at Jimma and Metu, south western Ethiopia for two year during 2017-2018 main cropping season to estimate the extent of genetic variability in 64 soybean genotypes for morpho-agronomic traits. The trial was laid down in simple lattice design. The combined analysis of variance revealed the presence of significant (P2) and high genetic advance as present of mean (GAM) were recorded for plant height (71.48%, 98.51% and 146.36%), number of pod (79.58%, 89.39% and 155.22%), number of seed (113.92%, 88.49% and 221.09%), hundred seed weight (62.28%, 74.10% and 110.60%) and grain yield (36.97%, 83.22% and 69.57%), which denotes, these traits can be improved through direct selection more easily than other traits. Therefore, this research finding showed the existence of enormous genetic variability among soybean genotypes for various important morphological traits.},
 year = {2023}
}

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TY  - JOUR
T1  - Genetic Variability in Soybean (Glycine Max L.) Genotypes for Morphological Traits in Southwestern Ethiopia
AU  - Masreshaw Yirga
AU  - Yechalew Sileshi
Y1  - 2023/08/22
PY  - 2023
N1  - https://doi.org/10.11648/j.bio.20231102.11
DO  - 10.11648/j.bio.20231102.11
T2  - American Journal of Bioscience and Bioengineering
JF  - American Journal of Bioscience and Bioengineering
JO  - American Journal of Bioscience and Bioengineering
SP  - 14
EP  - 19
PB  - Science Publishing Group
SN  - 2328-5893
UR  - https://doi.org/10.11648/j.bio.20231102.11
AB  - Genetic variability assessment in is paramount important for soybean variety development program. The field experiment was conducted at Jimma and Metu, south western Ethiopia for two year during 2017-2018 main cropping season to estimate the extent of genetic variability in 64 soybean genotypes for morpho-agronomic traits. The trial was laid down in simple lattice design. The combined analysis of variance revealed the presence of significant (P2) and high genetic advance as present of mean (GAM) were recorded for plant height (71.48%, 98.51% and 146.36%), number of pod (79.58%, 89.39% and 155.22%), number of seed (113.92%, 88.49% and 221.09%), hundred seed weight (62.28%, 74.10% and 110.60%) and grain yield (36.97%, 83.22% and 69.57%), which denotes, these traits can be improved through direct selection more easily than other traits. Therefore, this research finding showed the existence of enormous genetic variability among soybean genotypes for various important morphological traits.
VL  - 11
IS  - 2
ER  -

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Author Information

Masreshaw Yirga

Ethiopian Institutes of Agricultural Research, Jimma Agricultural Research, Pulse and Oil Research Division, Jimma, Ethiopia
Yechalew Sileshi

Ethiopian Institutes of Agricultural Research, Jimma Agricultural Research, Pulse and Oil Research Division, Jimma, Ethiopia

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Plain Text BibTeX RIS

APA Style

Masreshaw Yirga, Yechalew Sileshi. (2023). Genetic Variability in Soybean (Glycine Max L.) Genotypes for Morphological Traits in Southwestern Ethiopia. American Journal of Bioscience and Bioengineering, 11(2), 14-19. https://doi.org/10.11648/j.bio.20231102.11

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ACS Style

Masreshaw Yirga; Yechalew Sileshi. Genetic Variability in Soybean (Glycine Max L.) Genotypes for Morphological Traits in Southwestern Ethiopia. Am. J. BioSci. Bioeng. 2023, 11(2), 14-19. doi: 10.11648/j.bio.20231102.11

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AMA Style

Masreshaw Yirga, Yechalew Sileshi. Genetic Variability in Soybean (Glycine Max L.) Genotypes for Morphological Traits in Southwestern Ethiopia. Am J BioSci Bioeng. 2023;11(2):14-19. doi: 10.11648/j.bio.20231102.11

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@article{10.11648/j.bio.20231102.11,
  author = {Masreshaw Yirga and Yechalew Sileshi},
  title = {Genetic Variability in Soybean (Glycine Max L.) Genotypes for Morphological Traits in Southwestern Ethiopia},
  journal = {American Journal of Bioscience and Bioengineering},
  volume = {11},
  number = {2},
  pages = {14-19},
  doi = {10.11648/j.bio.20231102.11},
  url = {https://doi.org/10.11648/j.bio.20231102.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bio.20231102.11},
  abstract = {Genetic variability assessment in is paramount important for soybean variety development program. The field experiment was conducted at Jimma and Metu, south western Ethiopia for two year during 2017-2018 main cropping season to estimate the extent of genetic variability in 64 soybean genotypes for morpho-agronomic traits. The trial was laid down in simple lattice design. The combined analysis of variance revealed the presence of significant (P2) and high genetic advance as present of mean (GAM) were recorded for plant height (71.48%, 98.51% and 146.36%), number of pod (79.58%, 89.39% and 155.22%), number of seed (113.92%, 88.49% and 221.09%), hundred seed weight (62.28%, 74.10% and 110.60%) and grain yield (36.97%, 83.22% and 69.57%), which denotes, these traits can be improved through direct selection more easily than other traits. Therefore, this research finding showed the existence of enormous genetic variability among soybean genotypes for various important morphological traits.},
 year = {2023}
}

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TY  - JOUR
T1  - Genetic Variability in Soybean (Glycine Max L.) Genotypes for Morphological Traits in Southwestern Ethiopia
AU  - Masreshaw Yirga
AU  - Yechalew Sileshi
Y1  - 2023/08/22
PY  - 2023
N1  - https://doi.org/10.11648/j.bio.20231102.11
DO  - 10.11648/j.bio.20231102.11
T2  - American Journal of Bioscience and Bioengineering
JF  - American Journal of Bioscience and Bioengineering
JO  - American Journal of Bioscience and Bioengineering
SP  - 14
EP  - 19
PB  - Science Publishing Group
SN  - 2328-5893
UR  - https://doi.org/10.11648/j.bio.20231102.11
AB  - Genetic variability assessment in is paramount important for soybean variety development program. The field experiment was conducted at Jimma and Metu, south western Ethiopia for two year during 2017-2018 main cropping season to estimate the extent of genetic variability in 64 soybean genotypes for morpho-agronomic traits. The trial was laid down in simple lattice design. The combined analysis of variance revealed the presence of significant (P2) and high genetic advance as present of mean (GAM) were recorded for plant height (71.48%, 98.51% and 146.36%), number of pod (79.58%, 89.39% and 155.22%), number of seed (113.92%, 88.49% and 221.09%), hundred seed weight (62.28%, 74.10% and 110.60%) and grain yield (36.97%, 83.22% and 69.57%), which denotes, these traits can be improved through direct selection more easily than other traits. Therefore, this research finding showed the existence of enormous genetic variability among soybean genotypes for various important morphological traits.
VL  - 11
IS  - 2
ER  -

Copy | Download