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Yield performance and stability analysis of promising soybean genotypes under contrasting environments in the semi-arid zone of Sudan

dc.contributor.authorNgalamu, T.
dc.contributor.authorBulli, P.
dc.contributor.authorMeseka, S.K.
dc.date.accessioned2023-05-17T08:18:02Z
dc.date.available2023-05-17T08:18:02Z
dc.date.issued2023-04-21
dc.identifier.citationNgalamu, T., Bulli, P. & Meseka, S.K. (2023). Yield performance and stability analysis of promising soybean genotypes under contrasting environments in the semi-arid zone of Sudan. Legume Research, 1-8.
dc.identifier.issn0250-5371
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8172
dc.description.abstractBackground: The challenge to food security posed by climate change and coupled with the substantial rise in the global population, necessitate a shift in crop improvement programmes towards developing crop cultivars with stable and high yield potentials across a wide range of agro-ecological conditions. Methods: New high yielding crop varieties with stable performance across environments are enabling the expansion of their production area into non-traditional environments with semi-arid climates. Soybean (Glycine max L.), a tropical leguminous crop, has received significant attention as a target crop in breeding programmes for adaptation to semi-arid environments, due to its low water content, high nutritive value and the capacity to produce a variety of products. The objective of this study was to asses yield performance and stability of promising soybean genotypes under contrasting environments in the semi-arid zone of Sudan. We evaluated five soybean genotypes using a split plot design with environment as the main plot and genotype as the subplot. Result: Combined ANOVA showed significant differences among the genotypes, environment and genotype x environment interaction. Moreover, significant positive relationships were observed between seed yield and number of days to 95% flowering, 100-seed weight, leaf area and number of pods per plant. AMMI stability values revealed significant differences among the genotypes and genotype-by-environment main effects for seed yield. Similarly, results of GGE biplot showed significant contributions of genotypes and genotype-by-environment main effects. The stability models enabled us to identify genotypes with superior performance to specific environments. TGX 1904-6F, was found to be the most stable genotype with appreciable seed yield and adaptability across all environments that can be recommended for release to farmers in semi-arid Sudan.
dc.description.sponsorshipSennar State Government, Republic of Sudan
dc.format.extent1-8
dc.language.isoen
dc.subjectSoybeans
dc.subjectGenotypes
dc.subjectFood Security
dc.subjectClimate Change
dc.subjectGrain Legumes
dc.subjectGlycine Max
dc.titleYield performance and stability analysis of promising soybean genotypes under contrasting environments in the semi-arid zone of Sudan
dc.typeJournal Article
cg.contributor.crpMaize
cg.contributor.affiliationUniversity of Juba, South Sudan
cg.contributor.affiliationJaramogi Oginga Odinga University of Science and Technology
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionNorth Africa
cg.coverage.countrySudan
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidNGALAMU:2023
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectClimate Change
cg.iitasubjectFood Security
cg.iitasubjectGrain Legumes
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectSoybean
cg.journalLegume Research
cg.notesPublished online: 21 Apr 2023
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution-ShareAlike 4.0 (CC BY-SA 4.0)
cg.targetaudienceScientists
cg.identifier.doihttps://doi.org/10.18805/LRF-722
cg.iitaauthor.identifierSILVESTRO MESEKA: 0000-0003-1004-2450
cg.futureupdate.descriptionVolume and issue numbers
cg.futureupdate.requiredYes


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