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

cg.authorship.typesCGIAR and developing country institute
cg.contributor.affiliationMakerere University
cg.contributor.affiliationNational Livestock Resources Research Institute, Uganda
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.crpGrain Legumes
cg.contributor.donorCGIAR Trust Fund
cg.contributor.initiativeAccelerated Breeding
cg.coverage.countryUganda
cg.coverage.iso3166-alpha2UG
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.creator.identifierTonny Obua: 0000-0003-1134-3255
cg.creator.identifierJulius Pyton Sserumaga : 0000-0001-5152-2835
cg.creator.identifierPhinehas Tukamuhabwa: 0000-0002-9276-2146
cg.creator.identifierJohnson Mugarra: 0000-0001-5809-1177
cg.creator.identifierGodfree Chigeza: 0000-0002-9235-0694
cg.howPublishedFormally Published
cg.identifier.doihttps://doi.org/10.3390/agronomy14122826
cg.isijournalISI Journal
cg.issn2073-4395
cg.issue12
cg.journalAgronomy
cg.number2826
cg.reviewStatusPeer Review
cg.subject.actionAreaGenetic Innovation
cg.subject.iitaAGRONOMY
cg.subject.iitaFOOD SECURITY
cg.subject.iitaGRAIN LEGUMES
cg.subject.iitaPLANT BREEDING
cg.subject.iitaPLANT PRODUCTION
cg.subject.iitaSOYBEAN
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactPlatformNutrition, Health and Food Security
cg.subject.sdgSDG 2 - Zero hunger
cg.volume14
dc.contributor.authorObua, T.
dc.contributor.authorSserumaga, J.P.
dc.contributor.authorTukamuhabwa, P.
dc.contributor.authorNamara, M.
dc.contributor.authorAwio, B.
dc.contributor.authorMugarra, J.
dc.contributor.authorTusiime, G.
dc.contributor.authorChigeza, G.
dc.date.accessioned2024-12-11T09:54:28Zen
dc.date.available2024-12-11T09:54:28Zen
dc.identifier.urihttps://hdl.handle.net/10568/163332
dc.titleUnravelling yield and yield-related traits in soybean using GGE biplot and path analysisen
dcterms.abstractSoybean (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.en
dcterms.accessRightsOpen Access
dcterms.audienceScientists
dcterms.available2024-11-27
dcterms.bibliographicCitationObua, 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.en
dcterms.extent1-14
dcterms.issued2024
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherMDPI
dcterms.subjectcorrelationen
dcterms.subjectsoybeansen
dcterms.subjectpath analysisen
dcterms.subjectyield stabilityen
dcterms.typeJournal Article

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
agronomy-14-02826-Oboua et al.pdf
Size:
2.74 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: