Evaluation and Stability Analysis of Early Maturing Soybean (<i>Glycine Max </i>L.) Genotypes in Lowland Agro Ecologies of Ethiopia

Masreshaw Yirga; Yechalew Sileshi; Demelash Bassa

doi:doi:10.11648/j.jps.20231104.14

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Evaluation and Stability Analysis of Early Maturing Soybean (Glycine Max L.) Genotypes in Lowland Agro Ecologies of Ethiopia

Masreshaw Yirga, Yechalew Sileshi, Demelash Bassa

Published in Journal of Plant Sciences (Volume 11, Issue 4)

Received: 29 June 2023 Accepted: 24 July 2023 Published: 31 July 2023

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Abstract

Soybean is becoming the most important oil crops in Ethiopia. The national soybean breeding program is working to develop high-yielding, adaptable and stable varieties to increase production and productivity in the country. Breeding for early-maturing varieites is currently given due emphasis to overcome soybean production drawbacks in moisture defecit areas. Hence, performance evaluation of early maturing soybean genotypes across representative environments is essential to examine genotype × environment (GxE) interactions and identify the most stable and performed genotype. The trial was conducted using 10 soybean genotypes including checks in RCB design with four replications. The materials were evaluated over eight locations and G x E interaction was assessed using GGE-biplot analysis to identify stable genotype across testing environments. Data on phenological, agro-morphological and reaction to important diseases were collected for the crop. The combined analysis of variances showed significant to highly significant (P ˂ 0.01) difference among genotypes, environments and G x E interactions for most of the studied traits. GGE-biplot models showed that the eight environments used for the study belonged to four mega-environments. According to the GGE results, G3 (JM-HAR/G99-15-SD-2), and G7 (JM-HAR/PR142-15-SB) were identified as ideal genotypes in terms of higher-yielding ability and stability, and hence thesegenotypes are recommended for mega environment production in the country.

Published in	Journal of Plant Sciences (Volume 11, Issue 4)
DOI	10.11648/j.jps.20231104.14
Page(s)	131-135
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

Soybean, Grain Yield, GGE Biplot, Stability

References

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[2]	Bernard, R. L. and M. G. Weiss, 1973. Qualitative Genetics. Soybeans, Production and Uses. B. E. Caldwell (ed.). Agronomy Series, American Society of Agronomy, Madison, Wisconsin, USA. 117-154.
[3]	Franca-Neto, J. B., Henning, A. A., Krzyzanowski, F. C. and EMBRAPA^ dCNPSo, 1994. Seed production and technology for the tropics. Tropical soybean: improvement and production.
[4]	Singh, P., Kumar, R., Sabapathy, S. N. and Bawa, A. S., 2008. Functional and edible uses of soy protein products. Comprehensive reviews in food science and food safety, 7 (1), pp. 14-28.
[5]	Graham, P. H. and Vance, C. P., 2003. Legumes: importance and constraints to greater use. Plant physiology, 131 (3), pp. 872-877.
[6]	AmareAbebe. 1987. Bean production and research in Ethiopia. In: R. A. Kirkby (ed). Proceedings of aWorkshop on Bean Research in Eastern Africa, Mukono, Uganda, 22-25 June, 1987 CIAT African Workshop Series, No 2.
[7]	DeLacy, I. H., Basford, K. E., Cooper, M., Bull, J. K. and McLaren, C. G., 1996. Analysis of multi-environment trials–an historical perspective. Plant adaptation and crop improvement, 39124.
[8]	Abush Tesfaye, M. Githiri, J. Derera and Tolessa Debele., 2017. Genetic Variability in Soybean (Glycine max L.) for Low Soil Phosphorus Tolerance. Ethiopian Journal of Agricultural Sciences, 27 (2), pp. 1-15.
[9]	FekaduGurmu, Hussein Mohammed and GetnetAlemaw, 2009. Genotype X environment interactions and stability of soybean for grain yield and nutrition quality. African Crop Science Journal 17: 87-99.
[10]	Neelima, G., S. P. Mehtre and G. W. Narkhede, 2018. Genetic Variability, Heritability and Genetic Advance in Soybean. Int. J. Pure App. Biosci. 6: 1011-1017.
[11]	Rakshit, S., Ganapathy, K. N., Gomashe, S. S., Rathore, A., Ghorade, R. B., Kumar, M. N., Ganesmurthy, K., Jain, S. K., Kamtar, M. Y., Sachan, J. S. and Ambekar, S. S., 2012. GGE biplot analysis to evaluate genotype, environment and their interactions in sorghum multi-location data. Euphytica, 185 (3), pp. 465-479.
[12]	Yan W, Hunt LA, Sheng Q, Szlavnics Z. 2000. Cultivar evaluation and mega environment investigation based on GGE biplot. Crop Sci 40: 597–605.
[13]	Yan, W. and Tinker, N. A., 2006. Biplot analysis of multi-environment trial data: Principles and applications. Canadian journal of plant science, 86 (3), pp. 623-645.
[14]	Alake, C. O. and Ariyo, O. J., 2012. Comparative analysis of genotype x environment interaction techniques in West African Okra,(Abelmoschus caillei, A. Chev Stevels). Journal of Agricultural Science, 4 (4), p. 135.
[15]	Yan W and Kang MS. 2003. GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton, FL.

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APA Style

Masreshaw Yirga, Yechalew Sileshi, Demelash Bassa. (2023). Evaluation and Stability Analysis of Early Maturing Soybean (Glycine Max L.) Genotypes in Lowland Agro Ecologies of Ethiopia. Journal of Plant Sciences, 11(4), 131-135. https://doi.org/10.11648/j.jps.20231104.14

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ACS Style

Masreshaw Yirga; Yechalew Sileshi; Demelash Bassa. Evaluation and Stability Analysis of Early Maturing Soybean (Glycine Max L.) Genotypes in Lowland Agro Ecologies of Ethiopia. J. Plant Sci. 2023, 11(4), 131-135. doi: 10.11648/j.jps.20231104.14

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AMA Style

Masreshaw Yirga, Yechalew Sileshi, Demelash Bassa. Evaluation and Stability Analysis of Early Maturing Soybean (Glycine Max L.) Genotypes in Lowland Agro Ecologies of Ethiopia. J Plant Sci. 2023;11(4):131-135. doi: 10.11648/j.jps.20231104.14

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@article{10.11648/j.jps.20231104.14,
  author = {Masreshaw Yirga and Yechalew Sileshi and Demelash Bassa},
  title = {Evaluation and Stability Analysis of Early Maturing Soybean (Glycine Max L.) Genotypes in Lowland Agro Ecologies of Ethiopia},
  journal = {Journal of Plant Sciences},
  volume = {11},
  number = {4},
  pages = {131-135},
  doi = {10.11648/j.jps.20231104.14},
  url = {https://doi.org/10.11648/j.jps.20231104.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20231104.14},
  abstract = {Soybean is becoming the most important oil crops in Ethiopia. The national soybean breeding program is working to develop high-yielding, adaptable and stable varieties to increase production and productivity in the country. Breeding for early-maturing varieites is currently given due emphasis to overcome soybean production drawbacks in moisture defecit areas. Hence, performance evaluation of early maturing soybean genotypes across representative environments is essential to examine genotype × environment (GxE) interactions and identify the most stable and performed genotype. The trial was conducted using 10 soybean genotypes including checks in RCB design with four replications. The materials were evaluated over eight locations and G x E interaction was assessed using GGE-biplot analysis to identify stable genotype across testing environments. Data on phenological, agro-morphological and reaction to important diseases were collected for the crop. The combined analysis of variances showed significant to highly significant (P ˂ 0.01) difference among genotypes, environments and G x E interactions for most of the studied traits. GGE-biplot models showed that the eight environments used for the study belonged to four mega-environments. According to the GGE results, G3 (JM-HAR/G99-15-SD-2), and G7 (JM-HAR/PR142-15-SB) were identified as ideal genotypes in terms of higher-yielding ability and stability, and hence thesegenotypes are recommended for mega environment production in the country.},
 year = {2023}
}

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TY  - JOUR
T1  - Evaluation and Stability Analysis of Early Maturing Soybean (Glycine Max L.) Genotypes in Lowland Agro Ecologies of Ethiopia
AU  - Masreshaw Yirga
AU  - Yechalew Sileshi
AU  - Demelash Bassa
Y1  - 2023/07/31
PY  - 2023
N1  - https://doi.org/10.11648/j.jps.20231104.14
DO  - 10.11648/j.jps.20231104.14
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 131
EP  - 135
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20231104.14
AB  - Soybean is becoming the most important oil crops in Ethiopia. The national soybean breeding program is working to develop high-yielding, adaptable and stable varieties to increase production and productivity in the country. Breeding for early-maturing varieites is currently given due emphasis to overcome soybean production drawbacks in moisture defecit areas. Hence, performance evaluation of early maturing soybean genotypes across representative environments is essential to examine genotype × environment (GxE) interactions and identify the most stable and performed genotype. The trial was conducted using 10 soybean genotypes including checks in RCB design with four replications. The materials were evaluated over eight locations and G x E interaction was assessed using GGE-biplot analysis to identify stable genotype across testing environments. Data on phenological, agro-morphological and reaction to important diseases were collected for the crop. The combined analysis of variances showed significant to highly significant (P ˂ 0.01) difference among genotypes, environments and G x E interactions for most of the studied traits. GGE-biplot models showed that the eight environments used for the study belonged to four mega-environments. According to the GGE results, G3 (JM-HAR/G99-15-SD-2), and G7 (JM-HAR/PR142-15-SB) were identified as ideal genotypes in terms of higher-yielding ability and stability, and hence thesegenotypes are recommended for mega environment production in the country.
VL  - 11
IS  - 4
ER  -

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Author Information

Masreshaw Yirga

Ethiopian Institutes of Agricultural Research, Jimma Agricultural Research Center, Jimma, Ethiopia
Yechalew Sileshi

Ethiopian Institutes of Agricultural Research, Jimma Agricultural Research Center, Jimma, Ethiopia
Demelash Bassa

Southern Agricultural Research Institute, Areka Agricultural Research Center, Areka, Ethiopia

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APA Style

Masreshaw Yirga, Yechalew Sileshi, Demelash Bassa. (2023). Evaluation and Stability Analysis of Early Maturing Soybean (Glycine Max L.) Genotypes in Lowland Agro Ecologies of Ethiopia. Journal of Plant Sciences, 11(4), 131-135. https://doi.org/10.11648/j.jps.20231104.14

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ACS Style

Masreshaw Yirga; Yechalew Sileshi; Demelash Bassa. Evaluation and Stability Analysis of Early Maturing Soybean (Glycine Max L.) Genotypes in Lowland Agro Ecologies of Ethiopia. J. Plant Sci. 2023, 11(4), 131-135. doi: 10.11648/j.jps.20231104.14

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AMA Style

Masreshaw Yirga, Yechalew Sileshi, Demelash Bassa. Evaluation and Stability Analysis of Early Maturing Soybean (Glycine Max L.) Genotypes in Lowland Agro Ecologies of Ethiopia. J Plant Sci. 2023;11(4):131-135. doi: 10.11648/j.jps.20231104.14

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@article{10.11648/j.jps.20231104.14,
  author = {Masreshaw Yirga and Yechalew Sileshi and Demelash Bassa},
  title = {Evaluation and Stability Analysis of Early Maturing Soybean (Glycine Max L.) Genotypes in Lowland Agro Ecologies of Ethiopia},
  journal = {Journal of Plant Sciences},
  volume = {11},
  number = {4},
  pages = {131-135},
  doi = {10.11648/j.jps.20231104.14},
  url = {https://doi.org/10.11648/j.jps.20231104.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20231104.14},
  abstract = {Soybean is becoming the most important oil crops in Ethiopia. The national soybean breeding program is working to develop high-yielding, adaptable and stable varieties to increase production and productivity in the country. Breeding for early-maturing varieites is currently given due emphasis to overcome soybean production drawbacks in moisture defecit areas. Hence, performance evaluation of early maturing soybean genotypes across representative environments is essential to examine genotype × environment (GxE) interactions and identify the most stable and performed genotype. The trial was conducted using 10 soybean genotypes including checks in RCB design with four replications. The materials were evaluated over eight locations and G x E interaction was assessed using GGE-biplot analysis to identify stable genotype across testing environments. Data on phenological, agro-morphological and reaction to important diseases were collected for the crop. The combined analysis of variances showed significant to highly significant (P ˂ 0.01) difference among genotypes, environments and G x E interactions for most of the studied traits. GGE-biplot models showed that the eight environments used for the study belonged to four mega-environments. According to the GGE results, G3 (JM-HAR/G99-15-SD-2), and G7 (JM-HAR/PR142-15-SB) were identified as ideal genotypes in terms of higher-yielding ability and stability, and hence thesegenotypes are recommended for mega environment production in the country.},
 year = {2023}
}

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TY  - JOUR
T1  - Evaluation and Stability Analysis of Early Maturing Soybean (Glycine Max L.) Genotypes in Lowland Agro Ecologies of Ethiopia
AU  - Masreshaw Yirga
AU  - Yechalew Sileshi
AU  - Demelash Bassa
Y1  - 2023/07/31
PY  - 2023
N1  - https://doi.org/10.11648/j.jps.20231104.14
DO  - 10.11648/j.jps.20231104.14
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 131
EP  - 135
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20231104.14
AB  - Soybean is becoming the most important oil crops in Ethiopia. The national soybean breeding program is working to develop high-yielding, adaptable and stable varieties to increase production and productivity in the country. Breeding for early-maturing varieites is currently given due emphasis to overcome soybean production drawbacks in moisture defecit areas. Hence, performance evaluation of early maturing soybean genotypes across representative environments is essential to examine genotype × environment (GxE) interactions and identify the most stable and performed genotype. The trial was conducted using 10 soybean genotypes including checks in RCB design with four replications. The materials were evaluated over eight locations and G x E interaction was assessed using GGE-biplot analysis to identify stable genotype across testing environments. Data on phenological, agro-morphological and reaction to important diseases were collected for the crop. The combined analysis of variances showed significant to highly significant (P ˂ 0.01) difference among genotypes, environments and G x E interactions for most of the studied traits. GGE-biplot models showed that the eight environments used for the study belonged to four mega-environments. According to the GGE results, G3 (JM-HAR/G99-15-SD-2), and G7 (JM-HAR/PR142-15-SB) were identified as ideal genotypes in terms of higher-yielding ability and stability, and hence thesegenotypes are recommended for mega environment production in the country.
VL  - 11
IS  - 4
ER  -

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