Genetic Variability, Heritability and Expected Genetic Advance as Indices for Selection in Soybean [<i>Glycine max</i> (L.) Merrill] Varieties

Besufikad Enideg Getnet

doi:doi:10.11648/j.ajls.20180604.11

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Genetic Variability, Heritability and Expected Genetic Advance as Indices for Selection in Soybean [Glycine max (L.) Merrill] Varieties

Besufikad Enideg Getnet

Published in American Journal of Life Sciences (Volume 6, Issue 4)

Received: 8 November 2018 Accepted: 7 December 2018 Published: 4 January 2019

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Abstract

Genetic variability, heritability and genetic advance under selection studies were conducted at Assosa on 49 soybean genotypes. A field study laid out in 7x7 simple lattice design with two replications at Assosa Agricultural Research Center with the objective of estimating genetic variability, heritability, expected genetic advance, and to estimate genetic divergence, thereby, to cluster the test genotypes in to genetically divergent classes. The result of this study indicated variations for all the traits evaluated. The highest heritability value was recorded for days to 50% flowering followed by days to maturity and days to pod setting. Wide range of mean values was observed in all the characters evaluated. This indicates that the characters can be improved through selection. Divergence analysis grouped the 49 soybean genotypes into three. The principal component analysis revealed that five principal components PC1 to PC5 with Eigen values 4.27, 2.53, 1.91, 1.28 and 1.08 respectively, have accounted for 73.81% of the total variation.

Published in	American Journal of Life Sciences (Volume 6, Issue 4)
DOI	10.11648/j.ajls.20180604.11
Page(s)	52-56
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), 2019. Published by Science Publishing Group

Keywords

Divergence Analysis, Genetic Variability, Heritability, Principal Component Analysis

References

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Besufikad Enideg Getnet. (2019). Genetic Variability, Heritability and Expected Genetic Advance as Indices for Selection in Soybean [Glycine max (L.) Merrill] Varieties. American Journal of Life Sciences, 6(4), 52-56. https://doi.org/10.11648/j.ajls.20180604.11

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ACS Style

Besufikad Enideg Getnet. Genetic Variability, Heritability and Expected Genetic Advance as Indices for Selection in Soybean [Glycine max (L.) Merrill] Varieties. Am. J. Life Sci. 2019, 6(4), 52-56. doi: 10.11648/j.ajls.20180604.11

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AMA Style

Besufikad Enideg Getnet. Genetic Variability, Heritability and Expected Genetic Advance as Indices for Selection in Soybean [Glycine max (L.) Merrill] Varieties. Am J Life Sci. 2019;6(4):52-56. doi: 10.11648/j.ajls.20180604.11

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@article{10.11648/j.ajls.20180604.11,
  author = {Besufikad Enideg Getnet},
  title = {Genetic Variability, Heritability and Expected Genetic Advance as Indices for Selection in Soybean [Glycine max (L.) Merrill] Varieties},
  journal = {American Journal of Life Sciences},
  volume = {6},
  number = {4},
  pages = {52-56},
  doi = {10.11648/j.ajls.20180604.11},
  url = {https://doi.org/10.11648/j.ajls.20180604.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajls.20180604.11},
  abstract = {Genetic variability, heritability and genetic advance under selection studies were conducted at Assosa on 49 soybean genotypes. A field study laid out in 7x7 simple lattice design with two replications at Assosa Agricultural Research Center with the objective of estimating genetic variability, heritability, expected genetic advance, and to estimate genetic divergence, thereby, to cluster the test genotypes in to genetically divergent classes. The result of this study indicated variations for all the traits evaluated. The highest heritability value was recorded for days to 50% flowering followed by days to maturity and days to pod setting. Wide range of mean values was observed in all the characters evaluated. This indicates that the characters can be improved through selection. Divergence analysis grouped the 49 soybean genotypes into three. The principal component analysis revealed that five principal components PC1 to PC5 with Eigen values 4.27, 2.53, 1.91, 1.28 and 1.08 respectively, have accounted for 73.81% of the total variation.},
 year = {2019}
}

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TY  - JOUR
T1  - Genetic Variability, Heritability and Expected Genetic Advance as Indices for Selection in Soybean [Glycine max (L.) Merrill] Varieties
AU  - Besufikad Enideg Getnet
Y1  - 2019/01/04
PY  - 2019
N1  - https://doi.org/10.11648/j.ajls.20180604.11
DO  - 10.11648/j.ajls.20180604.11
T2  - American Journal of Life Sciences
JF  - American Journal of Life Sciences
JO  - American Journal of Life Sciences
SP  - 52
EP  - 56
PB  - Science Publishing Group
SN  - 2328-5737
UR  - https://doi.org/10.11648/j.ajls.20180604.11
AB  - Genetic variability, heritability and genetic advance under selection studies were conducted at Assosa on 49 soybean genotypes. A field study laid out in 7x7 simple lattice design with two replications at Assosa Agricultural Research Center with the objective of estimating genetic variability, heritability, expected genetic advance, and to estimate genetic divergence, thereby, to cluster the test genotypes in to genetically divergent classes. The result of this study indicated variations for all the traits evaluated. The highest heritability value was recorded for days to 50% flowering followed by days to maturity and days to pod setting. Wide range of mean values was observed in all the characters evaluated. This indicates that the characters can be improved through selection. Divergence analysis grouped the 49 soybean genotypes into three. The principal component analysis revealed that five principal components PC1 to PC5 with Eigen values 4.27, 2.53, 1.91, 1.28 and 1.08 respectively, have accounted for 73.81% of the total variation.
VL  - 6
IS  - 4
ER  -

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Author Information

Besufikad Enideg Getnet

Department of Plant Science, Gambella University, Gambella, Ethiopia

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Plain Text BibTeX RIS

APA Style

Besufikad Enideg Getnet. (2019). Genetic Variability, Heritability and Expected Genetic Advance as Indices for Selection in Soybean [Glycine max (L.) Merrill] Varieties. American Journal of Life Sciences, 6(4), 52-56. https://doi.org/10.11648/j.ajls.20180604.11

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ACS Style

Besufikad Enideg Getnet. Genetic Variability, Heritability and Expected Genetic Advance as Indices for Selection in Soybean [Glycine max (L.) Merrill] Varieties. Am. J. Life Sci. 2019, 6(4), 52-56. doi: 10.11648/j.ajls.20180604.11

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AMA Style

Besufikad Enideg Getnet. Genetic Variability, Heritability and Expected Genetic Advance as Indices for Selection in Soybean [Glycine max (L.) Merrill] Varieties. Am J Life Sci. 2019;6(4):52-56. doi: 10.11648/j.ajls.20180604.11

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@article{10.11648/j.ajls.20180604.11,
  author = {Besufikad Enideg Getnet},
  title = {Genetic Variability, Heritability and Expected Genetic Advance as Indices for Selection in Soybean [Glycine max (L.) Merrill] Varieties},
  journal = {American Journal of Life Sciences},
  volume = {6},
  number = {4},
  pages = {52-56},
  doi = {10.11648/j.ajls.20180604.11},
  url = {https://doi.org/10.11648/j.ajls.20180604.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajls.20180604.11},
  abstract = {Genetic variability, heritability and genetic advance under selection studies were conducted at Assosa on 49 soybean genotypes. A field study laid out in 7x7 simple lattice design with two replications at Assosa Agricultural Research Center with the objective of estimating genetic variability, heritability, expected genetic advance, and to estimate genetic divergence, thereby, to cluster the test genotypes in to genetically divergent classes. The result of this study indicated variations for all the traits evaluated. The highest heritability value was recorded for days to 50% flowering followed by days to maturity and days to pod setting. Wide range of mean values was observed in all the characters evaluated. This indicates that the characters can be improved through selection. Divergence analysis grouped the 49 soybean genotypes into three. The principal component analysis revealed that five principal components PC1 to PC5 with Eigen values 4.27, 2.53, 1.91, 1.28 and 1.08 respectively, have accounted for 73.81% of the total variation.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Genetic Variability, Heritability and Expected Genetic Advance as Indices for Selection in Soybean [Glycine max (L.) Merrill] Varieties
AU  - Besufikad Enideg Getnet
Y1  - 2019/01/04
PY  - 2019
N1  - https://doi.org/10.11648/j.ajls.20180604.11
DO  - 10.11648/j.ajls.20180604.11
T2  - American Journal of Life Sciences
JF  - American Journal of Life Sciences
JO  - American Journal of Life Sciences
SP  - 52
EP  - 56
PB  - Science Publishing Group
SN  - 2328-5737
UR  - https://doi.org/10.11648/j.ajls.20180604.11
AB  - Genetic variability, heritability and genetic advance under selection studies were conducted at Assosa on 49 soybean genotypes. A field study laid out in 7x7 simple lattice design with two replications at Assosa Agricultural Research Center with the objective of estimating genetic variability, heritability, expected genetic advance, and to estimate genetic divergence, thereby, to cluster the test genotypes in to genetically divergent classes. The result of this study indicated variations for all the traits evaluated. The highest heritability value was recorded for days to 50% flowering followed by days to maturity and days to pod setting. Wide range of mean values was observed in all the characters evaluated. This indicates that the characters can be improved through selection. Divergence analysis grouped the 49 soybean genotypes into three. The principal component analysis revealed that five principal components PC1 to PC5 with Eigen values 4.27, 2.53, 1.91, 1.28 and 1.08 respectively, have accounted for 73.81% of the total variation.
VL  - 6
IS  - 4
ER  -

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