Genetic Variation of Recombinant Inbred Lines Soybean (<i>Glycine max </i>L. Merrill) from USA at Jimma, Ethiopia

Gada Gudina; Abush Tesfaye; Amsalu Nebiyu; Getachew Bekele

doi:doi:10.11648/j.cb.20231102.12

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Genetic Variation of Recombinant Inbred Lines Soybean (Glycine max L. Merrill) from USA at Jimma, Ethiopia

Gada Gudina^*, Abush Tesfaye, Amsalu Nebiyu, Getachew Bekele

Published in Cell Biology (Volume 11, Issue 2)

Received: 6 November 2023 Accepted: 21 November 2023 Published: 22 December 2023

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Abstract

In this study the genetic variability of soybean lines generated from segregating populations introduced from USA was evaluated. A total of 97 soybean genotypes that were introduced from USA along with three checks were grown in 10×10 simple lattice design with two replications at Jimma, Ethiopia. The ANOVA results showed significant (p≤0.05) variations in days to flowering, days to maturity, plant height, number of branches per plant, number of pods per plant, pod length, number of seeds per pod, number of seeds per plant, 100 seed weight, above ground biomass, harvest index, and grain yield indicating a considerable variability among the tested genotypes for the characters. Characters viz., plant height, number of branches per plant, above ground biomass and grain yield had high heritability and high genetic advance. Grain yield had positive and high significant (p≤0.01) genotypic correlations with harvest index (0.746) and 100 seed weight (0.267). Similarly, grain yield showed positive and significant (p≤0.05) genotypic associations with number of seeds per plant (0.225) and above ground biomass (0.205). This implies that higher mean values for these traits tend to improve grain yield in soybean. Cluster analysis grouped the genotypes into three clusters with the maximum squared distance found between cluster II and III. The principal component analysis revealed that the first four principal components (PCs) accounted for more than 71.25% of the total variation. The variability amongst the tested genotypes, heritability and genetic advance, as well as the associations in the tested traits provide information for an increased soybean productivity using this lines.

Published in	Cell Biology (Volume 11, Issue 2)
DOI	10.11648/j.cb.20231102.12
Page(s)	20-29
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

Genetic Advance, Variability, Principal Components, RIL, Soybean

References

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APA Style

Gudina, G., Tesfaye, A., Nebiyu, A., Bekele, G. (2023). Genetic Variation of Recombinant Inbred Lines Soybean (Glycine max L. Merrill) from USA at Jimma, Ethiopia. Cell Biology, 11(2), 20-29. https://doi.org/10.11648/j.cb.20231102.12

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ACS Style

Gudina, G.; Tesfaye, A.; Nebiyu, A.; Bekele, G. Genetic Variation of Recombinant Inbred Lines Soybean (Glycine max L. Merrill) from USA at Jimma, Ethiopia. Cell Biol. 2023, 11(2), 20-29. doi: 10.11648/j.cb.20231102.12

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AMA Style

Gudina G, Tesfaye A, Nebiyu A, Bekele G. Genetic Variation of Recombinant Inbred Lines Soybean (Glycine max L. Merrill) from USA at Jimma, Ethiopia. Cell Biol. 2023;11(2):20-29. doi: 10.11648/j.cb.20231102.12

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@article{10.11648/j.cb.20231102.12,
  author = {Gada Gudina and Abush Tesfaye and Amsalu Nebiyu and Getachew Bekele},
  title = {Genetic Variation of Recombinant Inbred Lines Soybean (Glycine max L. Merrill) from USA at Jimma, Ethiopia},
  journal = {Cell Biology},
  volume = {11},
  number = {2},
  pages = {20-29},
  doi = {10.11648/j.cb.20231102.12},
  url = {https://doi.org/10.11648/j.cb.20231102.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cb.20231102.12},
  abstract = {In this study the genetic variability of soybean lines generated from segregating populations introduced from USA was evaluated. A total of 97 soybean genotypes that were introduced from USA along with three checks were grown in 10×10 simple lattice design with two replications at Jimma, Ethiopia. The ANOVA results showed significant (p≤0.05) variations in days to flowering, days to maturity, plant height, number of branches per plant, number of pods per plant, pod length, number of seeds per pod, number of seeds per plant, 100 seed weight, above ground biomass, harvest index, and grain yield indicating a considerable variability among the tested genotypes for the characters. Characters viz., plant height, number of branches per plant, above ground biomass and grain yield had high heritability and high genetic advance. Grain yield had positive and high significant (p≤0.01) genotypic correlations with harvest index (0.746) and 100 seed weight (0.267). Similarly, grain yield showed positive and significant (p≤0.05) genotypic associations with number of seeds per plant (0.225) and above ground biomass (0.205). This implies that higher mean values for these traits tend to improve grain yield in soybean. Cluster analysis grouped the genotypes into three clusters with the maximum squared distance found between cluster II and III. The principal component analysis revealed that the first four principal components (PCs) accounted for more than 71.25% of the total variation. The variability amongst the tested genotypes, heritability and genetic advance, as well as the associations in the tested traits provide information for an increased soybean productivity using this lines.
},
 year = {2023}
}

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TY  - JOUR
T1  - Genetic Variation of Recombinant Inbred Lines Soybean (Glycine max L. Merrill) from USA at Jimma, Ethiopia
AU  - Gada Gudina
AU  - Abush Tesfaye
AU  - Amsalu Nebiyu
AU  - Getachew Bekele
Y1  - 2023/12/22
PY  - 2023
N1  - https://doi.org/10.11648/j.cb.20231102.12
DO  - 10.11648/j.cb.20231102.12
T2  - Cell Biology
JF  - Cell Biology
JO  - Cell Biology
SP  - 20
EP  - 29
PB  - Science Publishing Group
SN  - 2330-0183
UR  - https://doi.org/10.11648/j.cb.20231102.12
AB  - In this study the genetic variability of soybean lines generated from segregating populations introduced from USA was evaluated. A total of 97 soybean genotypes that were introduced from USA along with three checks were grown in 10×10 simple lattice design with two replications at Jimma, Ethiopia. The ANOVA results showed significant (p≤0.05) variations in days to flowering, days to maturity, plant height, number of branches per plant, number of pods per plant, pod length, number of seeds per pod, number of seeds per plant, 100 seed weight, above ground biomass, harvest index, and grain yield indicating a considerable variability among the tested genotypes for the characters. Characters viz., plant height, number of branches per plant, above ground biomass and grain yield had high heritability and high genetic advance. Grain yield had positive and high significant (p≤0.01) genotypic correlations with harvest index (0.746) and 100 seed weight (0.267). Similarly, grain yield showed positive and significant (p≤0.05) genotypic associations with number of seeds per plant (0.225) and above ground biomass (0.205). This implies that higher mean values for these traits tend to improve grain yield in soybean. Cluster analysis grouped the genotypes into three clusters with the maximum squared distance found between cluster II and III. The principal component analysis revealed that the first four principal components (PCs) accounted for more than 71.25% of the total variation. The variability amongst the tested genotypes, heritability and genetic advance, as well as the associations in the tested traits provide information for an increased soybean productivity using this lines.

VL  - 11
IS  - 2
ER  -

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Author Information

Gada Gudina

Department of Plant Science, College of Agriculture, Mettu University, Mattu, Ethiopia

Contact Email
Abush Tesfaye

Ethiopian Institute of Agricultural Research, Jimma Agricultural Research Center, Jimma, Ethiopia
Amsalu Nebiyu

Department of Horticulture and Plant Science, College of Agriculture and Veterinary medicine, Jimma University, Jimma, Ethiopia
Getachew Bekele

Department of Plant Science, College of Agriculture, Mettu University, Mattu, Ethiopia

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Gudina, G., Tesfaye, A., Nebiyu, A., Bekele, G. (2023). Genetic Variation of Recombinant Inbred Lines Soybean (Glycine max L. Merrill) from USA at Jimma, Ethiopia. Cell Biology, 11(2), 20-29. https://doi.org/10.11648/j.cb.20231102.12

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ACS Style

Gudina, G.; Tesfaye, A.; Nebiyu, A.; Bekele, G. Genetic Variation of Recombinant Inbred Lines Soybean (Glycine max L. Merrill) from USA at Jimma, Ethiopia. Cell Biol. 2023, 11(2), 20-29. doi: 10.11648/j.cb.20231102.12

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AMA Style

Gudina G, Tesfaye A, Nebiyu A, Bekele G. Genetic Variation of Recombinant Inbred Lines Soybean (Glycine max L. Merrill) from USA at Jimma, Ethiopia. Cell Biol. 2023;11(2):20-29. doi: 10.11648/j.cb.20231102.12

Copy | Download

@article{10.11648/j.cb.20231102.12,
  author = {Gada Gudina and Abush Tesfaye and Amsalu Nebiyu and Getachew Bekele},
  title = {Genetic Variation of Recombinant Inbred Lines Soybean (Glycine max L. Merrill) from USA at Jimma, Ethiopia},
  journal = {Cell Biology},
  volume = {11},
  number = {2},
  pages = {20-29},
  doi = {10.11648/j.cb.20231102.12},
  url = {https://doi.org/10.11648/j.cb.20231102.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cb.20231102.12},
  abstract = {In this study the genetic variability of soybean lines generated from segregating populations introduced from USA was evaluated. A total of 97 soybean genotypes that were introduced from USA along with three checks were grown in 10×10 simple lattice design with two replications at Jimma, Ethiopia. The ANOVA results showed significant (p≤0.05) variations in days to flowering, days to maturity, plant height, number of branches per plant, number of pods per plant, pod length, number of seeds per pod, number of seeds per plant, 100 seed weight, above ground biomass, harvest index, and grain yield indicating a considerable variability among the tested genotypes for the characters. Characters viz., plant height, number of branches per plant, above ground biomass and grain yield had high heritability and high genetic advance. Grain yield had positive and high significant (p≤0.01) genotypic correlations with harvest index (0.746) and 100 seed weight (0.267). Similarly, grain yield showed positive and significant (p≤0.05) genotypic associations with number of seeds per plant (0.225) and above ground biomass (0.205). This implies that higher mean values for these traits tend to improve grain yield in soybean. Cluster analysis grouped the genotypes into three clusters with the maximum squared distance found between cluster II and III. The principal component analysis revealed that the first four principal components (PCs) accounted for more than 71.25% of the total variation. The variability amongst the tested genotypes, heritability and genetic advance, as well as the associations in the tested traits provide information for an increased soybean productivity using this lines.
},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Genetic Variation of Recombinant Inbred Lines Soybean (Glycine max L. Merrill) from USA at Jimma, Ethiopia
AU  - Gada Gudina
AU  - Abush Tesfaye
AU  - Amsalu Nebiyu
AU  - Getachew Bekele
Y1  - 2023/12/22
PY  - 2023
N1  - https://doi.org/10.11648/j.cb.20231102.12
DO  - 10.11648/j.cb.20231102.12
T2  - Cell Biology
JF  - Cell Biology
JO  - Cell Biology
SP  - 20
EP  - 29
PB  - Science Publishing Group
SN  - 2330-0183
UR  - https://doi.org/10.11648/j.cb.20231102.12
AB  - In this study the genetic variability of soybean lines generated from segregating populations introduced from USA was evaluated. A total of 97 soybean genotypes that were introduced from USA along with three checks were grown in 10×10 simple lattice design with two replications at Jimma, Ethiopia. The ANOVA results showed significant (p≤0.05) variations in days to flowering, days to maturity, plant height, number of branches per plant, number of pods per plant, pod length, number of seeds per pod, number of seeds per plant, 100 seed weight, above ground biomass, harvest index, and grain yield indicating a considerable variability among the tested genotypes for the characters. Characters viz., plant height, number of branches per plant, above ground biomass and grain yield had high heritability and high genetic advance. Grain yield had positive and high significant (p≤0.01) genotypic correlations with harvest index (0.746) and 100 seed weight (0.267). Similarly, grain yield showed positive and significant (p≤0.05) genotypic associations with number of seeds per plant (0.225) and above ground biomass (0.205). This implies that higher mean values for these traits tend to improve grain yield in soybean. Cluster analysis grouped the genotypes into three clusters with the maximum squared distance found between cluster II and III. The principal component analysis revealed that the first four principal components (PCs) accounted for more than 71.25% of the total variation. The variability amongst the tested genotypes, heritability and genetic advance, as well as the associations in the tested traits provide information for an increased soybean productivity using this lines.

VL  - 11
IS  - 2
ER  -

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