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Genetic diversity and inter-trait relationships among maize inbreds containing genes from Zea diploperennis and hybrid performance under contrasting environments

dc.contributor.authorAkaogu, I.C.
dc.contributor.authorBadu-Apraku, B.
dc.contributor.authorGracen, V.E.
dc.contributor.authorTongoona, P.
dc.contributor.authorGedil, M.
dc.contributor.authorUnachukwu, N.
dc.contributor.authorOffei, S.
dc.contributor.authorDzidzienyo, D.
dc.contributor.authorHearne, S.
dc.contributor.authorGarcia-Oliveira, A.L.
dc.date.accessioned2022-10-19T07:58:17Z
dc.date.available2022-10-19T07:58:17Z
dc.date.issued2020
dc.identifier.citationAkaogu, I.C., Badu-Apraku, B., Gracen, V.E., Tongoona, P., Gedil, M., Unachukwu, N., ... & Garcia-Oliveira, A.L. (2022). Genetic diversity and inter-trait relationships among maize inbreds containing genes from Zea diploperennis and hybrid performance under contrasting environments. Agronomy, 10(10): 1478, 1-25.
dc.identifier.issn2073-4395
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7880
dc.description.abstractAccurate estimation of genetic variability present in tropical maize inbreds with varying reactions to Strigahermonthica infestation is essential for efficient and sustainable utilization to ensure increased genetic gain in a breeding program. Thirty-six early maturing maize inbred lines and 156 single cross hybrids were evaluated under Striga-infested and non-infested conditions in Nigeria during the 2014 and 2015 cropping seasons. Under Striga infestation, grain yield ranged from 1134 kg ha−1 for TZEI 26 × TZEI 5 to 5362 kg ha−1 for TZdEI 173 × TZdEI 280. The average yield reduction of the hybrids under Striga infestation was 44% relative to the performance under non-infested environments. Using 4440 high-quality DArT markers, clustering and population structure analyses separated the inbred lines into three distinct groups based on the genetic distance indicating high level of genetic variability among the lines. The base index of the International Institute of Tropical Agriculture (IITA) identified 50% of the inbred lines as Striga resistant. The genetic diversity study provided an opportunity for selecting divergent parents for tagging candidate genes and quantitative trait loci for marker-assisted introgression of Striga resistance genes into early maturing tropical maize breeding populations. The most reliable secondary trait for indirect selection for grain yield under Striga infestation was the ear aspect.
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.description.sponsorshipAlliance for a Green Revolution in Africa
dc.description.sponsorshipUnited States Agency for International Development
dc.format.extent1-25
dc.language.isoen
dc.subjectMaize
dc.subjectGenetic Diversity
dc.subjectStriga Hermonthica
dc.subjectPopulation Structure
dc.subjectPlant Diseases
dc.titleGenetic diversity and inter-trait relationships among maize inbreds containing genes from Zea diploperennis and hybrid performance under contrasting environments
dc.typeJournal Article
cg.contributor.crpMaize
cg.contributor.affiliationNational Biotechnology Development Agency, Nigeria
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationUniversity of Ghana
cg.contributor.affiliationInternational Maize and Wheat Improvement Center
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidAKAOGU:2022
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectDisease Control
cg.iitasubjectFood Security
cg.iitasubjectMaize
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Diseases
cg.iitasubjectPlant Production
cg.journalAgronomy
cg.notesOpen Access Article; Published online: 27 Sep 2020
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.3390/agronomy10101478
cg.iitaauthor.identifierBAFFOUR BADU-APRAKU: 0000-0003-0113-5487
cg.iitaauthor.identifierMelaku Gedil: 0000-0002-6258-6014
cg.iitaauthor.identifierNnanna Unachukwu: 0000-0003-2701-2477
cg.futureupdate.requiredNo
cg.identifier.issue10
cg.identifier.volume10
cg.contributor.acknowledgementsWe appreciate the IITA Maize Program and Bioscience Center staff for technical assistance during the field and laboratory experiments.


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