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Assessing cassava breeding clones in two agroecologies in the Democratic Republic of Congo

dc.contributor.authorSikirou, M.
dc.contributor.authorMwangu, K.M.
dc.contributor.authorKayondo, S.I.
dc.contributor.authorAgre, A.P.
dc.contributor.authorTata-Hangy, W.
dc.contributor.authorBakelana, T.
dc.contributor.authorAdetoro, N.A.
dc.date.accessioned2023-03-15T10:40:16Z
dc.date.available2023-03-15T10:40:16Z
dc.date.issued2022-12
dc.identifier.citationSikirou, M., Mwangu, K.M., Kayondo, S.I., Agre, A.P., Tata-Hangy, W., Bakelana, T. & Adetoro, N.A. (2022). Assessing cassava breeding clones in two agroecologies in the Democratic Republic of Congo. Revue Ivoirienne des Sciences et Technologie, 40, 57-75.
dc.identifier.issn1813-3290
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8089
dc.description.abstractBreeding is the most economical approach for controlling production constraints in cassava (Manihot esculenta Crantz) smallholder farms. This study aims at assessing the performances of elite cassava clones in the province of Kwilu, Democratic Republic of Congo (DRC). Three sets of trials were established using an alpha lattice and a randomized complete block designs in two contrasting locations, upland savanna and valley forest agroecologies. Eleven traits were used in phenotyping the cassava clones along with two checks varieties (local cultivar Biele and improved variety OBAMA). High heritability was recorded for the traits and it ranged from 0.52 to 0.75 except for yield (0.45). They are significant differences between the tested clones and the improved variety OBAMA. Overall, the Best Linear Unbiased Estimates (BLUEs) used for weighing in the selection index led to two candidate clones, KYK2016-048 and KYK2015-04 that outperformed both checks, Obama and Biele in this study and they could be potential candidates for variety replacement.
dc.description.sponsorshipUnited States Agency for International Development
dc.format.extent57-75
dc.language.isoen
dc.subjectBreeding
dc.subjectDemocratic Republic of the Congo
dc.subjectCassava
dc.subjectManihot Esculenta
dc.subjectSavannas
dc.subjectForests
dc.subjectYields
dc.titleAssessing cassava breeding clones in two agroecologies in the Democratic Republic of Congo
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationNational University of Agriculture, Republic of Benin
cg.contributor.affiliationInstitut National pour l’Étude et la Recherche Agronomiques, Democratic Republic of Congo
cg.coverage.regionAfrica
cg.coverage.regionCentral Africa
cg.coverage.countryDemocratic Republic of the Congo
cg.coverage.hubEastern Africa Hub
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.googleurlhttps://www.revist.ci/
cg.identifier.bibtexciteidSIKIROU:2022
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectCassava
cg.iitasubjectFood Security
cg.iitasubjectForestry
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectSmallholder Farmers
cg.journalRevue Ivoirienne des Sciences et Technologie
cg.accessibilitystatusLimited Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCopyrighted; all rights reserved
cg.targetaudienceScientists
cg.iitaauthor.identifierMouritala Sikirou: 0000-0002-5164-6456
cg.iitaauthor.identifierKayondo Siraj Ismail: 0000-0002-3212-5727
cg.iitaauthor.identifierPaterne AGRE: 0000-0003-1231-2530
cg.futureupdate.requiredNo
cg.identifier.volume40


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