Unravelling yield and yield-related traits in soybean using GGE biplot and path analysis

Soybean (Glycine max) is a vital crop for food, animal feed, and industrial products. However, its yield performance is significantly affected by genotype-by-environment interaction (GEI), which complicates the selection of high-yielding, stable varieties. This study aimed to evaluate the yield perf...

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Main Authors: Obua, T., Sserumaga, J.P., Tukamuhabwa, P., Namara, M., Awio, B., Mugarra, J., Tusiime, G., Chigeza, G.
Format: Journal Article
Language:Inglés
Published: MDPI 2024
Subjects:
Online Access:https://hdl.handle.net/10568/163332
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author Obua, T.
Sserumaga, J.P.
Tukamuhabwa, P.
Namara, M.
Awio, B.
Mugarra, J.
Tusiime, G.
Chigeza, G.
author_browse Awio, B.
Chigeza, G.
Mugarra, J.
Namara, M.
Obua, T.
Sserumaga, J.P.
Tukamuhabwa, P.
Tusiime, G.
author_facet Obua, T.
Sserumaga, J.P.
Tukamuhabwa, P.
Namara, M.
Awio, B.
Mugarra, J.
Tusiime, G.
Chigeza, G.
author_sort Obua, T.
collection Repository of Agricultural Research Outputs (CGSpace)
description Soybean (Glycine max) is a vital crop for food, animal feed, and industrial products. However, its yield performance is significantly affected by genotype-by-environment interaction (GEI), which complicates the selection of high-yielding, stable varieties. This study aimed to evaluate the yield performance and stability of 12 elite soybean varieties across five major production areas in Uganda using GGE biplot and path analysis. The varieties were planted in a randomized complete block design with three replications over two consecutive seasons. Results revealed significant differences in grain yield among the varieties, locations, and their interactions (p < 0.001). The highest-yielding varieties were Maksoy 5N (979 kg ha−1), Maksoy 4N (978 kg ha−1), Maksoy 3N (930 kg ha−1), and Signal (930 kg ha−1). GGE biplot analysis grouped the locations into two mega-environments, with the Maksoy varieties exhibiting greater yield stability compared to Seed Co. varieties. Path analysis showed that traits such as the number of lower internodes, central internode length, and filled pods had the highest positive direct effects on grain yield. This study provides insights into soybean breeding in tropical environments, highlighting traits that can be targeted to improve yield and stability. The findings offer a framework for breeding programs in Uganda and similar agro-ecological regions, promoting more resilient and productive soybean varieties. This study also illustrated the potential advantages of employing more complex mathematical techniques like path analysis to uncover yield and yield-related traits in soybean breeding programs.
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spelling CGSpace1633322025-12-08T10:29:22Z Unravelling yield and yield-related traits in soybean using GGE biplot and path analysis Obua, T. Sserumaga, J.P. Tukamuhabwa, P. Namara, M. Awio, B. Mugarra, J. Tusiime, G. Chigeza, G. correlation soybeans path analysis yield stability Soybean (Glycine max) is a vital crop for food, animal feed, and industrial products. However, its yield performance is significantly affected by genotype-by-environment interaction (GEI), which complicates the selection of high-yielding, stable varieties. This study aimed to evaluate the yield performance and stability of 12 elite soybean varieties across five major production areas in Uganda using GGE biplot and path analysis. The varieties were planted in a randomized complete block design with three replications over two consecutive seasons. Results revealed significant differences in grain yield among the varieties, locations, and their interactions (p < 0.001). The highest-yielding varieties were Maksoy 5N (979 kg ha−1), Maksoy 4N (978 kg ha−1), Maksoy 3N (930 kg ha−1), and Signal (930 kg ha−1). GGE biplot analysis grouped the locations into two mega-environments, with the Maksoy varieties exhibiting greater yield stability compared to Seed Co. varieties. Path analysis showed that traits such as the number of lower internodes, central internode length, and filled pods had the highest positive direct effects on grain yield. This study provides insights into soybean breeding in tropical environments, highlighting traits that can be targeted to improve yield and stability. The findings offer a framework for breeding programs in Uganda and similar agro-ecological regions, promoting more resilient and productive soybean varieties. This study also illustrated the potential advantages of employing more complex mathematical techniques like path analysis to uncover yield and yield-related traits in soybean breeding programs. 2024 2024-12-11T09:54:28Z 2024-12-11T09:54:28Z Journal Article https://hdl.handle.net/10568/163332 en Open Access application/pdf MDPI Obua, T., Sserumaga, J.P., Tukamuhabwa, P., Namara, M., Awio, B., Mugarra, J., ... & Chigeza, G. (2024). Unravelling yield and yield-related traits in soybean using GGE biplot and path analysis. Agronomy, 14(12): 2826, 1-14.
spellingShingle correlation
soybeans
path analysis
yield stability
Obua, T.
Sserumaga, J.P.
Tukamuhabwa, P.
Namara, M.
Awio, B.
Mugarra, J.
Tusiime, G.
Chigeza, G.
Unravelling yield and yield-related traits in soybean using GGE biplot and path analysis
title Unravelling yield and yield-related traits in soybean using GGE biplot and path analysis
title_full Unravelling yield and yield-related traits in soybean using GGE biplot and path analysis
title_fullStr Unravelling yield and yield-related traits in soybean using GGE biplot and path analysis
title_full_unstemmed Unravelling yield and yield-related traits in soybean using GGE biplot and path analysis
title_short Unravelling yield and yield-related traits in soybean using GGE biplot and path analysis
title_sort unravelling yield and yield related traits in soybean using gge biplot and path analysis
topic correlation
soybeans
path analysis
yield stability
url https://hdl.handle.net/10568/163332
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