Genetic Variability, Heritability and Expected Genetic Advance in Soybean [<i>Glycine max</i> (L.) Merrill] Genotypes

Besufikad Enideg Getnet

doi:doi:10.11648/j.aff.20180705.12

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Genetic Variability, Heritability and Expected Genetic Advance in Soybean [Glycine max (L.) Merrill] Genotypes

Besufikad Enideg Getnet

Published in Agriculture, Forestry and Fisheries (Volume 7, Issue 5)

Received: 27 October 2018 Accepted: 13 November 2018 Published: 28 December 2018

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Abstract

Information on the extent and pattern of genetic variability, heritability, and genetic advance under selection are essential to design breeding strategies in the available germplasm of soybean and helps to identify elite genotypes that will be incorporated in to soybean crop improvement programs to address the growing demand of the crop in Ethiopia. Forty-nine soybean (Glycine max (L.) Merrill) genotypes were evaluated in a field study in 7x7 simple lattice design with two replications at Jimma Agricultural Research Center (JARC) 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 indicated substantial variations for all the traits evaluated. Analysis of variance revealed that there was statistically significant difference among the forty-nine genotypes for most of the traits studied except root volume and root dry weight. The highest heritability value was recorded for total nodules per plant followed by effective nodules per plant and plant height. Significant wide range of mean values was observed in all the characters evaluated. This indicates that the characters can be improved through selection. The Divergence analysis grouped the 49 soybean genotypes into five which shows crossing between genotypes which fall in to different classes would result in hybrid vigour. The principal component analysis revealed that 6 components have accounted for 79.90% of the total variation among the genotypes.

Published in	Agriculture, Forestry and Fisheries (Volume 7, Issue 5)
DOI	10.11648/j.aff.20180705.12
Page(s)	108-112
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), 2018. Published by Science Publishing Group

Keywords

Divergence Analysis, Genetic Variability, Genetic Advance, Heritability, Principal Component Analysis

References

[1]	Asrat A.; Abush T.; Sentayehu A. and Mulugeta A. Food and Forage Legumes of Ethiopia: Progress and Prospects. Proceedings of the Workshop on Food and forage Legumes, 22 – 26 September 2003. Addis Ababa, Ethiopia.
[2]	CSA., 2014. Agricultural sampale survey 2013/14. Report on Area and Production of Major Crops (Private Peasant Holdings, Meher Season), Vol. I, Statistical Bulletin 532, Central Statistics Agency, Addis Ababa, pp: 1-124.
[3]	Deshmukh, S. NS. S, M. S. Basu and P. S. Reddy, (1986). Genetic variability, character association and path coefficient analysis of quantitative traits in Vignia bunch varieties of ground nut. Indian jour. Agri. Sci. 56: 515-518.
[4]	Gutu, B., 2015. Genetic variability and path coefficient analysis for yield and yield related traits in common bean (Phaseolus vulgaris L.). M. Sc. Thesis, Haramaya University, Hararge, Ethiopia.
[5]	Jollife, I. T (1986) Principal component analysis, New York: Springer.
[6]	Kausar H. (2005). Genetic investigations in segregating populations of soybean (Glycine max (L.) Merrill). M. Sc. (Agri.) Thesis, University of Agricultural Sciences, Dharwad.
[7]	Mahalanobis, P. C., (1936). On the generalized distance in statistics. In : Proceedings of National Academy of Science (Indian), 2 : 49-55. Poehlman and Sleeper, 1995.
[8]	Malik, M. F. A., A. S. Qureshi, M. Ashraf and A. Ghafoor. (2006). Genetic variability of the main yield related characters in soybean. Inter. Journ. Agri. & Biol., 8 (6): 815-619.
[9]	More, A. D. and A. T. Borkar, 2016. Analysis of genetic variability, heritability and genetic advance in Phaseolus vulgaris L. Int. J. Curr. Microbiol. Applied Sci., 5: 494-503.
[10]	Narayan, J., 2013. Variability and correlation analysis in diverse genotypes of French bean (Phaseolus vulgaris L.). M. Sc. Thesis, Banaras Hindu University, Varanasi, India.
[11]	Negash, K., 2006. Studies on genetic divergence in common bean (Phaseolus vulgaris L.) introductions of Ethiopia. M. Sc. Thesis, Addis Ababa University, Ethiopia.
[12]	Prakash, J., R. B. Ram and M. L. Meena, 2015. Genetic variation and characters interrelationship studies for quantitative and qualitative traits in French bean (Phaseolus vulgaris L.) under Lucknow conditions. Legume Res.: Int. J., 38: 425-433.
[13]	Poehlman, J. M. and D. A. Sleper, (1995). Breeding Field Crops. 4th ed. Iowa State University Press, Ames, Iowa 50014, USA.
[14]	Sardana, S., R. K. Mahajan, N. K. Gautam and B. Ram, 2007. Genetic variability in pea (Pisum sativum L.) germplasm for utilization. SABRAO J. Breed. Genet., 39: 31-41.
[15]	SAS Institute Inc., 2008. Statistical Analysis System, Version 9.2. Cary, North Carolina, USA.
[16]	Soy Stats (2008). A reference guide to important soybean facts and figures. Available at http://www.soystats.com (verified 03/09/09).
[17]	Spagnoletti, P. L. and C. O. Qualset, (1987). Geographic diversity for quantitative spike characters in a world collection of durum wheat. Crop sci. 27: 235-241.

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APA Style

Besufikad Enideg Getnet. (2018). Genetic Variability, Heritability and Expected Genetic Advance in Soybean [Glycine max (L.) Merrill] Genotypes. Agriculture, Forestry and Fisheries, 7(5), 108-112. https://doi.org/10.11648/j.aff.20180705.12

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ACS Style

Besufikad Enideg Getnet. Genetic Variability, Heritability and Expected Genetic Advance in Soybean [Glycine max (L.) Merrill] Genotypes. Agric. For. Fish. 2018, 7(5), 108-112. doi: 10.11648/j.aff.20180705.12

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AMA Style

Besufikad Enideg Getnet. Genetic Variability, Heritability and Expected Genetic Advance in Soybean [Glycine max (L.) Merrill] Genotypes. Agric For Fish. 2018;7(5):108-112. doi: 10.11648/j.aff.20180705.12

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@article{10.11648/j.aff.20180705.12,
  author = {Besufikad Enideg Getnet},
  title = {Genetic Variability, Heritability and Expected Genetic Advance in Soybean [Glycine max (L.) Merrill] Genotypes},
  journal = {Agriculture, Forestry and Fisheries},
  volume = {7},
  number = {5},
  pages = {108-112},
  doi = {10.11648/j.aff.20180705.12},
  url = {https://doi.org/10.11648/j.aff.20180705.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.20180705.12},
  abstract = {Information on the extent and pattern of genetic variability, heritability, and genetic advance under selection are essential to design breeding strategies in the available germplasm of soybean and helps to identify elite genotypes that will be incorporated in to soybean crop improvement programs to address the growing demand of the crop in Ethiopia. Forty-nine soybean (Glycine max (L.) Merrill) genotypes were evaluated in a field study in 7x7 simple lattice design with two replications at Jimma Agricultural Research Center (JARC) 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 indicated substantial variations for all the traits evaluated. Analysis of variance revealed that there was statistically significant difference among the forty-nine genotypes for most of the traits studied except root volume and root dry weight. The highest heritability value was recorded for total nodules per plant followed by effective nodules per plant and plant height. Significant wide range of mean values was observed in all the characters evaluated. This indicates that the characters can be improved through selection. The Divergence analysis grouped the 49 soybean genotypes into five which shows crossing between genotypes which fall in to different classes would result in hybrid vigour. The principal component analysis revealed that 6 components have accounted for 79.90% of the total variation among the genotypes.},
 year = {2018}
}

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TY  - JOUR
T1  - Genetic Variability, Heritability and Expected Genetic Advance in Soybean [Glycine max (L.) Merrill] Genotypes
AU  - Besufikad Enideg Getnet
Y1  - 2018/12/28
PY  - 2018
N1  - https://doi.org/10.11648/j.aff.20180705.12
DO  - 10.11648/j.aff.20180705.12
T2  - Agriculture, Forestry and Fisheries
JF  - Agriculture, Forestry and Fisheries
JO  - Agriculture, Forestry and Fisheries
SP  - 108
EP  - 112
PB  - Science Publishing Group
SN  - 2328-5648
UR  - https://doi.org/10.11648/j.aff.20180705.12
AB  - Information on the extent and pattern of genetic variability, heritability, and genetic advance under selection are essential to design breeding strategies in the available germplasm of soybean and helps to identify elite genotypes that will be incorporated in to soybean crop improvement programs to address the growing demand of the crop in Ethiopia. Forty-nine soybean (Glycine max (L.) Merrill) genotypes were evaluated in a field study in 7x7 simple lattice design with two replications at Jimma Agricultural Research Center (JARC) 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 indicated substantial variations for all the traits evaluated. Analysis of variance revealed that there was statistically significant difference among the forty-nine genotypes for most of the traits studied except root volume and root dry weight. The highest heritability value was recorded for total nodules per plant followed by effective nodules per plant and plant height. Significant wide range of mean values was observed in all the characters evaluated. This indicates that the characters can be improved through selection. The Divergence analysis grouped the 49 soybean genotypes into five which shows crossing between genotypes which fall in to different classes would result in hybrid vigour. The principal component analysis revealed that 6 components have accounted for 79.90% of the total variation among the genotypes.
VL  - 7
IS  - 5
ER  -

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Author Information

Besufikad Enideg Getnet

Department of Plant Sciences, Gambella University, Gambella, Ethiopia

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Plain Text BibTeX RIS

APA Style

Besufikad Enideg Getnet. (2018). Genetic Variability, Heritability and Expected Genetic Advance in Soybean [Glycine max (L.) Merrill] Genotypes. Agriculture, Forestry and Fisheries, 7(5), 108-112. https://doi.org/10.11648/j.aff.20180705.12

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ACS Style

Besufikad Enideg Getnet. Genetic Variability, Heritability and Expected Genetic Advance in Soybean [Glycine max (L.) Merrill] Genotypes. Agric. For. Fish. 2018, 7(5), 108-112. doi: 10.11648/j.aff.20180705.12

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AMA Style

Besufikad Enideg Getnet. Genetic Variability, Heritability and Expected Genetic Advance in Soybean [Glycine max (L.) Merrill] Genotypes. Agric For Fish. 2018;7(5):108-112. doi: 10.11648/j.aff.20180705.12

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@article{10.11648/j.aff.20180705.12,
  author = {Besufikad Enideg Getnet},
  title = {Genetic Variability, Heritability and Expected Genetic Advance in Soybean [Glycine max (L.) Merrill] Genotypes},
  journal = {Agriculture, Forestry and Fisheries},
  volume = {7},
  number = {5},
  pages = {108-112},
  doi = {10.11648/j.aff.20180705.12},
  url = {https://doi.org/10.11648/j.aff.20180705.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.20180705.12},
  abstract = {Information on the extent and pattern of genetic variability, heritability, and genetic advance under selection are essential to design breeding strategies in the available germplasm of soybean and helps to identify elite genotypes that will be incorporated in to soybean crop improvement programs to address the growing demand of the crop in Ethiopia. Forty-nine soybean (Glycine max (L.) Merrill) genotypes were evaluated in a field study in 7x7 simple lattice design with two replications at Jimma Agricultural Research Center (JARC) 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 indicated substantial variations for all the traits evaluated. Analysis of variance revealed that there was statistically significant difference among the forty-nine genotypes for most of the traits studied except root volume and root dry weight. The highest heritability value was recorded for total nodules per plant followed by effective nodules per plant and plant height. Significant wide range of mean values was observed in all the characters evaluated. This indicates that the characters can be improved through selection. The Divergence analysis grouped the 49 soybean genotypes into five which shows crossing between genotypes which fall in to different classes would result in hybrid vigour. The principal component analysis revealed that 6 components have accounted for 79.90% of the total variation among the genotypes.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Genetic Variability, Heritability and Expected Genetic Advance in Soybean [Glycine max (L.) Merrill] Genotypes
AU  - Besufikad Enideg Getnet
Y1  - 2018/12/28
PY  - 2018
N1  - https://doi.org/10.11648/j.aff.20180705.12
DO  - 10.11648/j.aff.20180705.12
T2  - Agriculture, Forestry and Fisheries
JF  - Agriculture, Forestry and Fisheries
JO  - Agriculture, Forestry and Fisheries
SP  - 108
EP  - 112
PB  - Science Publishing Group
SN  - 2328-5648
UR  - https://doi.org/10.11648/j.aff.20180705.12
AB  - Information on the extent and pattern of genetic variability, heritability, and genetic advance under selection are essential to design breeding strategies in the available germplasm of soybean and helps to identify elite genotypes that will be incorporated in to soybean crop improvement programs to address the growing demand of the crop in Ethiopia. Forty-nine soybean (Glycine max (L.) Merrill) genotypes were evaluated in a field study in 7x7 simple lattice design with two replications at Jimma Agricultural Research Center (JARC) 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 indicated substantial variations for all the traits evaluated. Analysis of variance revealed that there was statistically significant difference among the forty-nine genotypes for most of the traits studied except root volume and root dry weight. The highest heritability value was recorded for total nodules per plant followed by effective nodules per plant and plant height. Significant wide range of mean values was observed in all the characters evaluated. This indicates that the characters can be improved through selection. The Divergence analysis grouped the 49 soybean genotypes into five which shows crossing between genotypes which fall in to different classes would result in hybrid vigour. The principal component analysis revealed that 6 components have accounted for 79.90% of the total variation among the genotypes.
VL  - 7
IS  - 5
ER  -

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