Multi-Environmental Evaluation of Protein Content and Yield Stability among Tropical Soybean Genotypes Using GGE Biplot Analysis

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dc.contributor.authorObua, Tonny
dc.contributor.authorSserumaga, Julius Pyton
dc.contributor.authorAwio, Bruno
dc.contributor.authorNganga, Fredrick
dc.contributor.authorOdong, Thomas L.
dc.contributor.authorTukamuhabwa, Phinehas
dc.contributor.authorTusiime, Geoffrey
dc.contributor.authorMukasa, Settumba B.
dc.contributor.authorNabasirye, Margaret
dc.date.accessioned2022-08-24T19:58:27Z
dc.date.available2022-08-24T19:58:27Z
dc.date.issued2021
dc.description.abstractThe yield and protein performance in a soybean genotype result from its interaction with the prevailing environmental conditions. This makes selecting the best genotypes under varied target production environments more complex. This study’s objectives were to determine protein content and protein stability of 30 elite soybean genotypes in major soybean-growing areas of Uganda, assess the yield performance and stability in soybeans and determine the relationship between the protein content and grain yield in soybeans. The genotypes were planted in a randomized complete block design of three replications for six seasons across eight locations in Uganda. Genotype and genotypeby- environment (GGE) biplot analyses classified the test locations into three mega-environments for soybean protein and grain yields. Genotype NII X GC 20.3 had the highest mean protein content of 43.0%, and BSPS 48A-9-2 and BSPS 48A-28 were superior for the mean grain yield (1207 kg ha􀀀1). Bulindi was the most discriminating and representative test environment for soybean yield. A weak and negative correlation (r = 􀀀0.1**, d.f. = 29) was detected between the protein content (%) and yield (kg ha􀀀1). The highest-yielding genotypes BSPS 48A-9-2, BSPS 48A-31, and Nam II GC 44.2 are recommended for further evaluation under farmers’ production conditions for selection and release as new soybean varieties in Uganda.en_US
dc.identifier.citationObua, T.; Sserumaga, J.P.; Awio, B.; Nganga, F.; Odong, T.L.; Tukamuhabwa, P.; Tusiime, G.; Mukasa, S.B.; Nabasirye, M. Multi-Environmental Evaluation of Protein Content and Yield Stability among Tropical Soybean Genotypes Using GGE Biplot Analysis. Agronomy 2021, 11, 1265. https:// doi.org/10.3390/agronomy11071265en_US
dc.identifier.urihttps:// doi.org/10.3390/agronomy11071265
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/4409
dc.language.isoenen_US
dc.publisherAgronomyen_US
dc.subjectBiploten_US
dc.subjectGEIen_US
dc.subjectGGE biplotsen_US
dc.subjectYield stabilityen_US
dc.subjectProtein stabilityen_US
dc.titleMulti-Environmental Evaluation of Protein Content and Yield Stability among Tropical Soybean Genotypes Using GGE Biplot Analysisen_US
dc.typeArticleen_US
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