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dc.contributor.authorAghogho, C.I.
dc.contributor.authorEleblu, S.J.Y.
dc.contributor.authorBakare, M.A.
dc.contributor.authorKayondo, S.I.
dc.contributor.authorAsante, I.
dc.contributor.authorParkes, E.
dc.contributor.authorKulakow, P.
dc.contributor.authorOffei, S.
dc.contributor.authorRabbi, I.Y.
dc.date.accessioned2023-04-18T07:50:49Z
dc.date.available2023-04-18T07:50:49Z
dc.date.issued2022-10-17
dc.identifier.citationAghogho, C.I., Eleblu, S.J., Bakare, M.A., Kayondo, S.I., Asante, I., Parkes, E., ... & Rabbi, I.Y. (2022). Genetic variability and genotype by environment interaction of two major cassava processed products in multi-environments. Frontiers in Plant Science, 13: 974795, 1-17.
dc.identifier.issn1664-462X
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8137
dc.description.abstractConversion of cassava (Manihot esculenta) roots to processed products such as gari and fufu before consumption is a common practice worldwide by cassava end-user for detoxification, prolonged shelf life or profitability. Fresh root and processed product yield are supposed to be equivalent for each genotype, however, that is not the case. Developing genotypes with high product conversion rate is an important breeding goal in cassava as it drives the adoption rates of new varieties. The objective of this study was to quantify the contribution of genetic and genotype-by-environment interaction (GEI) patterns on cassava root conversion rate to gari and fufu. Sixty-seven advanced breeding genotypes from the International Institute of Tropical Agriculture (IITA) were evaluated across eight environments in Nigeria. Root conversion rate means across trials ranges from 14.72 to 22.76% for gari% and 16.96–24.24% for fufu%. Heritability estimates range from 0.17 to 0.74 for trial bases and 0.71 overall environment for gari% and 0.03–0.65 for trial bases and 0.72 overall environment for fufu% which implies that genetic improvement can be made on these traits. Root conversion rate for both gari and fufu% showed a negative but insignificant correlation with fresh root yield and significant positive correlation to Dry Matter content. For all fitted models, environment and interaction had explained more of the phenotypic variation observed among genotypes for both product conversion rates showing the presence of a strong GEI. Wrickle ecovalence (Wi) stability analysis and Geometric Adaptability index (GAI) identified G40 (TMS14F1285P0006) as part of top 5 genotypes for gari% but no overlapping genotype was identified by both stability analysis for fufu%. This genotypic performance across environments suggests that it is possible to have genotype with dual-purpose for high gari and fufu conversion rate.
dc.description.sponsorshipGerman Academic Exchange Service
dc.description.sponsorshipCGIAR Trust Fund
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.description.sponsorshipForeign, Commonwealth and Development Office, United Kingdom
dc.format.extent1-17
dc.language.isoen
dc.subjectGenetic Variation
dc.subjectHeritability
dc.subjectGenotype Environment Interaction
dc.subjectGari
dc.subjectCassava
dc.subjectProcessing
dc.titleGenetic variability and genotype by environment interaction of two major cassava processed products in multi-environments
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationUniversity of Ghana
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationCornell University
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.researchthemePlant Production and Health
cg.identifier.bibtexciteidAGHOGHO:2022
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectCassava
cg.iitasubjectFood Security
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectValue Chains
cg.journalFrontiers in Plant Science
cg.notesOpen Access Journal; Published online: 17 Oct 2022
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.3389/fpls.2022.974795
cg.iitaauthor.identifierKayondo Siraj Ismail: 0000-0002-3212-5727
cg.iitaauthor.identifierE J Parkes: 0000-0003-4063-1483
cg.iitaauthor.identifierPeter Kulakow: 0000-0002-7574-2645
cg.iitaauthor.identifierIsmail Rabbi: 0000-0001-9966-2941
cg.futureupdate.requiredNo
cg.identifier.issue974795
cg.identifier.volume13


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