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Agronomic performance and yield stability of extra-early maturing maize hybrids in multiple environments in the Sahel

dc.contributor.authorKonate, L.
dc.contributor.authorBadu-Apraku, B.
dc.contributor.authorCoulibaly, M.
dc.contributor.authorMenkir, A.
dc.contributor.authorLaouali, M.N.
dc.contributor.authorMeseka, S.K.
dc.contributor.authorMengesha Abera, W.
dc.date.accessioned2025-05-02T09:20:09Z
dc.date.available2025-05-02T09:20:09Z
dc.date.issued2023-09
dc.identifier.citationKonate, L., Badu-Apraku, B., Coulibaly, M., Menkir, A., Laouali, M.N., Meseka, S.K. & Mengesha Abera, W. (2023). Agronomic performance and yield stability of extra-early maturing maize hybrids in multiple environments in the Sahel. Heliyon, 9(11): e21659, 1-10.
dc.identifier.issn2405-8440
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8677
dc.description.abstractFrequent occurrence of drought, heat, low soil fertility and Striga infestation are the main stress factors reducing maize yield in the Sahel. Adoption of stable multiple stress tolerant maize cultivars in the region is crucial for achieving food security. However, selection of a stable high yielding cultivar is complicated by genotype × environment interaction (GEI) due to differential responses to growing conditions. Eleven extra-early maturing multiple-stress tolerant maize hybrids and two checks arranged in a randomized complete block design was evaluated across nine locations for two years in Mali and Niger. The objectives of this study were to identify (i) stable and high-yielding maize hybrids, and (ii) suitable test locations for selecting promising extraearly maize hybrids. GGE biplot was used for graphical analysis. Significant genotype, location and GEI effects were detected for grain yield and number of ears per plant. EEWQH-13 produced the highest grain yield (3860 kg ha􀀀 1) while EEYQH-1 had the poorest yield (2663 kg ha􀀀 1) with trial mean of 3395 kg ha􀀀 1 for all hybrids. GGE biplot explained 69.6 % of the total variation in grain yield among the hybrids. The polygon view identified EEWQH-13 as the best hybrid across six of the nine test locations. EEPVAH-58 was identified as the most stable high yielding hybrid across the nine test locations followed by EEWQH-16 and EEWQH-13. The nine locations were clustered under two mega-environments (ME1, ME2). Among the nine test locations, Tara and Aderaoua clustered in ME1 were the most suitable ones for selecting promising extra-early maize hybrids for wider adaptation. The three hybrids, EEPVAH-58, EEWQH-16, and EEWQH-13, identified in this study could be recommended for on-farm evaluation to confirm the consistency of their yield performance for possible release and commercialization in Mali and Niger.
dc.description.sponsorshipRoyal Norwegian Embassy in Mali
dc.format.extent1-10
dc.language.isoen
dc.subjectDrought Stress
dc.subjectHeat Stress
dc.subjectMaize
dc.subjectHybrids
dc.subjectYield Stability
dc.subjectSahel
dc.titleAgronomic performance and yield stability of extra-early maturing maize hybrids in multiple environments in the Sahel
dc.typeJournal Article
cg.contributor.crpMaize
cg.contributor.affiliationInstitut d’Economie Rurale, Mali
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationInstitut National de la Recherche Agronomique du Niger
cg.coverage.regionAfrica
cg.coverage.countryMali
cg.coverage.countryNiger
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidKONATE:2023a
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectFood Security
cg.iitasubjectMaize
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.journalHeliyon
cg.notesOpen Access Journal
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 (CC BY-NC-ND 4.0)
cg.targetaudienceScientists
cg.identifier.doihttps://doi.org/10.1016/j.heliyon.2023.e21659
cg.iitaauthor.identifierBAFFOUR BADU-APRAKU: 0000-0003-0113-5487
cg.iitaauthor.identifierAbebe Menkir: 0000-0002-5907-9177
cg.iitaauthor.identifierSILVESTRO MESEKA: 0000-0003-1004-2450
cg.iitaauthor.identifierWende Mengesha: 0000-0002-2239-7323
cg.futureupdate.requiredNo
cg.identifier.issue11: e21659
cg.identifier.volume9
cg.contributor.acknowledgementsThis research was conducted under the “Climate Smart Agricultural Technologies for improved Rural Livelihoods and Food Security in Mali and Niger” project. The authors acknowledge the financial support provided by Royal Norwegian Embassy in Mali (MFANER-17/0005 and MLI 17/0008 grants). The immense support of the maize improvement program of IITA, the contributions of technical staff members of IER and INRAN are greatly acknowledged.


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