Correlation and Path Coefficient Analysis for Seed Yield and Yield Related Traits in Soybean (<i>Glycine max</i> (L.)) Genotypes

Habte Berhanu; Bulti Tesso; Dagnachew Lule

doi:doi:10.11648/j.plant.20210904.15

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Correlation and Path Coefficient Analysis for Seed Yield and Yield Related Traits in Soybean (Glycine max (L.)) Genotypes

Habte Berhanu, Bulti Tesso, Dagnachew Lule

Published in Plant (Volume 9, Issue 4)

Received: 13 September 2021 Accepted: 23 December 2021 Published: 31 December 2021

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Abstract

Soybean is a very interesting food crops and several production constraints are accountable for the low productivity including poor soils fertility, lack of early maturing or drought tolerant variety, lack of high yielding varieties, disease and pest. Therefore experiment was conducted to assess the extent of genetic variability and traits associations in soybean genotypes for grain yield and its related components and thereby generate information as well as identify superior genotypes for further improvement program. A total of thirty six soybean genotypes were tested using simple lattice design with two replications at Fedis during 2018 cropping season. Most of the traits showed positive correlations among themselves both at phenotypic and genotypic levels. Seed yield had highly significant and positive genotypic and phenotypic correlation with primary number of branches/plant, number of pods/plant, number of seeds/pod and plant height, indicating that simultaneous improvement of grain yields with the associated traits is favorable. Plant height exerted the highest genotypic (0.74) and phenotypic (0.54) direct effect on seed yield, and followed by hundred seeds weight and number of pods/plant showed higher genotypic direct effect on seed yield. This suggested that attention should be given for these traits mainly for direct and indirect selection for variety development.

Published in	Plant (Volume 9, Issue 4)
DOI	10.11648/j.plant.20210904.15
Page(s)	106-110
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

Correlation, Path Coefficient, Genotypes

References

[1]	Deresse Hunde, 2017. Genetic variability, heritability and genetic advances of soybean (Glycine max (L.) Merrill) varieties grown at Bako Tibe in Western Ethiopia. Asian Journal of Plant Science and Research.
[2]	United States Department of Agriculture (USDA) Foreign Agricultural Service (FAS), 2018 Report.
[3]	Sharma, S., Goyal, K., Gupta, I., Gupta, H., Kakralya, B., Sharma, S., Mehta, S. and Rathore, A. 1998. Packaging material and soybean seed quality during storage. Seed Research, 26: 89-91.
[4]	Wright, S., 1921. Correlation and causation. Journal of Agricultural Research, 20: 557-585.
[5]	Dewey, D. and Lu, K. 1959. A correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomy Journal 5 (1): 515-518.
[6]	Falconer, D., Trudy F., and Richard F. 1996. Introduction to quantitative genetics 4^th edition. Trends in Genetics: 280.
[7]	Machado, B., Nogueira, A., Hamawaki, O., Rezende, G., Jorge, G., Silveira, I., Medeiros, L., Hamawaki, R., and Hamawaki, C. 2017. Phenotypic and genotypic correlations between soybean agronomic traits and path analysis.
[8]	Leite, W., Pavan B., Matos F. and Feitosa F., 2015. Estimativas de parâmetros genéticos e correlações entre caracteres agronômicos em genótipos de soja. Nativa (Sinop) 3: 241-245.
[9]	Ali, F., Chang, Y., Kang, S. and Yoon, J., 2009. Thermal, mechanical and rheological properties of poly (lactic acid)/epoxidized soybean oil blends. Polymer Bulletin 62 (1): 91–98.
[10]	Soleh, A., Nahid H., Abdullah A., David J. and Mohammad A. 2016. Genetic variability and association analysis of soybean (Glycine max (L.) Merrill) for yield and yield attributing traits, Plant Gene and Trait, 7 (13): 1-11.
[11]	Nutan, P. and Gabrial M. 2016. Study on genetic variability and character association in soybean [Glycine max (L.) Merrill] germplasm at vindhyan zone of Uttar Pradesh. Agricultural Science Digestion.: 69-71.
[12]	Malek, M., Raffi M., Afroj M., Nath U., and Mondol M. 2014. Morphological characterization and assessment of genetic variability, character association, and divergence in soybean mutants. The Scientific World Journal.
[13]	Sunday, O., and Omolara, O., 2014. Quantitative genetic variation, heritability and genetic advance in the segregating F3 populations in soybean (Glycine max (L.) Merril. International Journal of Advanced Research.

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APA Style

Habte Berhanu, Bulti Tesso, Dagnachew Lule. (2021). Correlation and Path Coefficient Analysis for Seed Yield and Yield Related Traits in Soybean (Glycine max (L.)) Genotypes. Plant, 9(4), 106-110. https://doi.org/10.11648/j.plant.20210904.15

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ACS Style

Habte Berhanu; Bulti Tesso; Dagnachew Lule. Correlation and Path Coefficient Analysis for Seed Yield and Yield Related Traits in Soybean (Glycine max (L.)) Genotypes. Plant. 2021, 9(4), 106-110. doi: 10.11648/j.plant.20210904.15

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AMA Style

Habte Berhanu, Bulti Tesso, Dagnachew Lule. Correlation and Path Coefficient Analysis for Seed Yield and Yield Related Traits in Soybean (Glycine max (L.)) Genotypes. Plant. 2021;9(4):106-110. doi: 10.11648/j.plant.20210904.15

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@article{10.11648/j.plant.20210904.15,
  author = {Habte Berhanu and Bulti Tesso and Dagnachew Lule},
  title = {Correlation and Path Coefficient Analysis for Seed Yield and Yield Related Traits in Soybean (Glycine max (L.)) Genotypes},
  journal = {Plant},
  volume = {9},
  number = {4},
  pages = {106-110},
  doi = {10.11648/j.plant.20210904.15},
  url = {https://doi.org/10.11648/j.plant.20210904.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.plant.20210904.15},
  abstract = {Soybean is a very interesting food crops and several production constraints are accountable for the low productivity including poor soils fertility, lack of early maturing or drought tolerant variety, lack of high yielding varieties, disease and pest. Therefore experiment was conducted to assess the extent of genetic variability and traits associations in soybean genotypes for grain yield and its related components and thereby generate information as well as identify superior genotypes for further improvement program. A total of thirty six soybean genotypes were tested using simple lattice design with two replications at Fedis during 2018 cropping season. Most of the traits showed positive correlations among themselves both at phenotypic and genotypic levels. Seed yield had highly significant and positive genotypic and phenotypic correlation with primary number of branches/plant, number of pods/plant, number of seeds/pod and plant height, indicating that simultaneous improvement of grain yields with the associated traits is favorable. Plant height exerted the highest genotypic (0.74) and phenotypic (0.54) direct effect on seed yield, and followed by hundred seeds weight and number of pods/plant showed higher genotypic direct effect on seed yield. This suggested that attention should be given for these traits mainly for direct and indirect selection for variety development.},
 year = {2021}
}

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TY  - JOUR
T1  - Correlation and Path Coefficient Analysis for Seed Yield and Yield Related Traits in Soybean (Glycine max (L.)) Genotypes
AU  - Habte Berhanu
AU  - Bulti Tesso
AU  - Dagnachew Lule
Y1  - 2021/12/31
PY  - 2021
N1  - https://doi.org/10.11648/j.plant.20210904.15
DO  - 10.11648/j.plant.20210904.15
T2  - Plant
JF  - Plant
JO  - Plant
SP  - 106
EP  - 110
PB  - Science Publishing Group
SN  - 2331-0677
UR  - https://doi.org/10.11648/j.plant.20210904.15
AB  - Soybean is a very interesting food crops and several production constraints are accountable for the low productivity including poor soils fertility, lack of early maturing or drought tolerant variety, lack of high yielding varieties, disease and pest. Therefore experiment was conducted to assess the extent of genetic variability and traits associations in soybean genotypes for grain yield and its related components and thereby generate information as well as identify superior genotypes for further improvement program. A total of thirty six soybean genotypes were tested using simple lattice design with two replications at Fedis during 2018 cropping season. Most of the traits showed positive correlations among themselves both at phenotypic and genotypic levels. Seed yield had highly significant and positive genotypic and phenotypic correlation with primary number of branches/plant, number of pods/plant, number of seeds/pod and plant height, indicating that simultaneous improvement of grain yields with the associated traits is favorable. Plant height exerted the highest genotypic (0.74) and phenotypic (0.54) direct effect on seed yield, and followed by hundred seeds weight and number of pods/plant showed higher genotypic direct effect on seed yield. This suggested that attention should be given for these traits mainly for direct and indirect selection for variety development.
VL  - 9
IS  - 4
ER  -

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Author Information

Habte Berhanu

Fadis Agricultural Research Center, Harar, Ethiopia
Bulti Tesso

School of Plant Science, Haramaya University, Haramaya, Ethiopia
Dagnachew Lule

Oromia Agricultural Research Institute, Finfinne, Ethiopia

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Plain Text BibTeX RIS

APA Style

Habte Berhanu, Bulti Tesso, Dagnachew Lule. (2021). Correlation and Path Coefficient Analysis for Seed Yield and Yield Related Traits in Soybean (Glycine max (L.)) Genotypes. Plant, 9(4), 106-110. https://doi.org/10.11648/j.plant.20210904.15

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ACS Style

Habte Berhanu; Bulti Tesso; Dagnachew Lule. Correlation and Path Coefficient Analysis for Seed Yield and Yield Related Traits in Soybean (Glycine max (L.)) Genotypes. Plant. 2021, 9(4), 106-110. doi: 10.11648/j.plant.20210904.15

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AMA Style

Habte Berhanu, Bulti Tesso, Dagnachew Lule. Correlation and Path Coefficient Analysis for Seed Yield and Yield Related Traits in Soybean (Glycine max (L.)) Genotypes. Plant. 2021;9(4):106-110. doi: 10.11648/j.plant.20210904.15

Copy | Download

@article{10.11648/j.plant.20210904.15,
  author = {Habte Berhanu and Bulti Tesso and Dagnachew Lule},
  title = {Correlation and Path Coefficient Analysis for Seed Yield and Yield Related Traits in Soybean (Glycine max (L.)) Genotypes},
  journal = {Plant},
  volume = {9},
  number = {4},
  pages = {106-110},
  doi = {10.11648/j.plant.20210904.15},
  url = {https://doi.org/10.11648/j.plant.20210904.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.plant.20210904.15},
  abstract = {Soybean is a very interesting food crops and several production constraints are accountable for the low productivity including poor soils fertility, lack of early maturing or drought tolerant variety, lack of high yielding varieties, disease and pest. Therefore experiment was conducted to assess the extent of genetic variability and traits associations in soybean genotypes for grain yield and its related components and thereby generate information as well as identify superior genotypes for further improvement program. A total of thirty six soybean genotypes were tested using simple lattice design with two replications at Fedis during 2018 cropping season. Most of the traits showed positive correlations among themselves both at phenotypic and genotypic levels. Seed yield had highly significant and positive genotypic and phenotypic correlation with primary number of branches/plant, number of pods/plant, number of seeds/pod and plant height, indicating that simultaneous improvement of grain yields with the associated traits is favorable. Plant height exerted the highest genotypic (0.74) and phenotypic (0.54) direct effect on seed yield, and followed by hundred seeds weight and number of pods/plant showed higher genotypic direct effect on seed yield. This suggested that attention should be given for these traits mainly for direct and indirect selection for variety development.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Correlation and Path Coefficient Analysis for Seed Yield and Yield Related Traits in Soybean (Glycine max (L.)) Genotypes
AU  - Habte Berhanu
AU  - Bulti Tesso
AU  - Dagnachew Lule
Y1  - 2021/12/31
PY  - 2021
N1  - https://doi.org/10.11648/j.plant.20210904.15
DO  - 10.11648/j.plant.20210904.15
T2  - Plant
JF  - Plant
JO  - Plant
SP  - 106
EP  - 110
PB  - Science Publishing Group
SN  - 2331-0677
UR  - https://doi.org/10.11648/j.plant.20210904.15
AB  - Soybean is a very interesting food crops and several production constraints are accountable for the low productivity including poor soils fertility, lack of early maturing or drought tolerant variety, lack of high yielding varieties, disease and pest. Therefore experiment was conducted to assess the extent of genetic variability and traits associations in soybean genotypes for grain yield and its related components and thereby generate information as well as identify superior genotypes for further improvement program. A total of thirty six soybean genotypes were tested using simple lattice design with two replications at Fedis during 2018 cropping season. Most of the traits showed positive correlations among themselves both at phenotypic and genotypic levels. Seed yield had highly significant and positive genotypic and phenotypic correlation with primary number of branches/plant, number of pods/plant, number of seeds/pod and plant height, indicating that simultaneous improvement of grain yields with the associated traits is favorable. Plant height exerted the highest genotypic (0.74) and phenotypic (0.54) direct effect on seed yield, and followed by hundred seeds weight and number of pods/plant showed higher genotypic direct effect on seed yield. This suggested that attention should be given for these traits mainly for direct and indirect selection for variety development.
VL  - 9
IS  - 4
ER  -

Copy | Download