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

Vista sencilla de ítem
dc.creatorObua, Tonny
dc.creatorSserumaga, Julius Pyton
dc.creatorAwio, Bruno
dc.creatorNg'ang'a, Fredrick M.
dc.creatorOdong, Thomas L.
dc.creatorTukamuhabwe, Phineas
dc.creatorTusiime, Geoffrey
dc.creatorMukasa, Settumba B.
dc.creatorNabasirye, Margaret
dc.date2021-06-22
dc.date2023-03-10T14:33:31Z
dc.date2023-03-10T14:33:31Z
dc.date.accessioned2026-06-27T17:01:15Z
dc.descriptionThe 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 genotype-by-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.
dc.identifierhttps://hdl.handle.net/10568/129344
dc.identifier.urihttp://hdl.handle.net/123456789/139886
dc.languageen
dc.publisherMDPI
dc.rightsOpen Access
dc.sourceObua, Tonny; Sserumaga, Julius Pyton; Awio, Bruno; Nganga, Fredrick; Odong, Thomas L.; Tukamuhabwa, Phinehas; Tusiime, Geoffrey; Mukasa, Settumba B.; Nabasirye, Margaret. 2021. Multi-Environmental Evaluation of Protein Content and Yield Stability among Tropical Soybean Genotypes Using GGE Biplot Analysis. Agronomy 11: 1265
dc.subjectgenotypes
dc.subjectevaluation
dc.subjectanalysis
dc.subjectprotein content
dc.subjectstability
dc.subjectprotein
dc.titleMulti-Environmental Evaluation of Protein Content and Yield Stability among Tropical Soybean Genotypes Using GGE Biplot Analysis
dc.typeJournal Article

Archivos

Colecciones

Instituto Internacional de Investigaciones Pecuarias (ILRI)