Q&A: Methods for estimating genetic gain in sub-Saharan Africa and achieving improved gains

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dc.creatorDieng, Ibnou
dc.creatorGardunia, Brian
dc.creatorCovarrubias‐Pazaran, Giovanny
dc.creatorGemenet, Dorcus C.
dc.creatorTrognitz, Bodo
dc.creatorOfodile, Sam
dc.creatorFowobaje, Kayode
dc.creatorNtukidem, Solomon
dc.creatorShah, Trushar
dc.creatorImoro, Simon
dc.creatorTripathi, L.
dc.creatorMushoriwa, Hapson
dc.creatorMbabazi, Ruth
dc.creatorSalvo, Stella
dc.creatorDerera, John
dc.date2024-06
dc.date2024-09-11T09:26:01Z
dc.date2024-09-11T09:26:01Z
dc.date.accessioned2026-06-27T16:08:48Z
dc.descriptionRegular measurement of realized genetic gain allows plant breeders to assess and review the effectiveness of their strategies, allocate resources efficiently, and make informed decisions throughout the breeding process. Realized genetic gain estimation requires separating genetic trends from nongenetic trends using the linear mixed model (LMM) on historical multi‐environment trial data. The LMM, accounting for the year effect, experimental designs, and heterogeneous residual variances, estimates best linear unbiased estimators of genotypes and regresses them on their years of origin. An illustrative example of estimating realized genetic gain was provided by analyzing historical data on fresh cassava (Manihot esculenta Crantz) yield in West Africa (https://github.com/Biometrics‐IITA/Estimating‐Realized‐Genetic‐Gain). This approach can serve as a model applicable to other crops and regions. Modernization of breeding programs is necessary to maximize the rate of genetic gain. This can be achieved by adopting genomics to enable faster breeding, accurate selection, and improved traits through genomic selection and gene editing. Tracking operational costs, establishing robust, digitalized data management and analytics systems, and developing effective varietal selection processes based on customer insights are also crucial for success. Capacity building and collaboration of breeding programs and institutions also play a significant role in accelerating genetic gains.
dc.identifierhttps://hdl.handle.net/10568/152128
dc.identifier.urihttp://hdl.handle.net/123456789/123796
dc.languageen
dc.publisherWiley
dc.rightsOpen Access
dc.sourceDieng, I., Gardunia, B., Covarrubias–Pazaran, G., Gemenet, D. C., Trognitz, B., Ofodile, S., Fowobaje, K., Ntukidem, S., Shah, T., Imoro, S., Tripathi, L., Mushoriwa, H., Mbabazi, R., Salvo, S., & Derera, J. (2024). Q&A: Methods for estimating genetic gain in sub–Saharan Africa and achieving improved gains. The Plant Genome, 17(2). Portico. https://doi.org/10.1002/tpg2.20471
dc.subjectsystems
dc.subjectmanihot esculenta
dc.subjectcrops
dc.subjectcassava
dc.subjectdata
dc.subjectbreeding
dc.subjectenvironment
dc.subjectgenotypes
dc.subjectcapacity building
dc.subjectinstitutions
dc.subjectcosts
dc.subjectselection
dc.subjectstrategies
dc.subjectmeasurement
dc.subjectresources
dc.subjectgenomics
dc.subjectcollaboration
dc.subjectyield
dc.subjecttrends
dc.subjectmodel
dc.subjectestimation
dc.subjectgenetic gain
dc.subjectdata management
dc.subjectmodernization
dc.subjectprocesses
dc.subjectplant
dc.subjectaccounting
dc.subjectmanihot esculenta crantz
dc.subjectgene
dc.subjectgene editing
dc.subjectgenetic
dc.subjecttracking
dc.subjectgenomic selection
dc.subjectcapacity
dc.subjectplant breeders
dc.subjecttraits
dc.titleQ&A: Methods for estimating genetic gain in sub-Saharan Africa and achieving improved gains
dc.typeJournal Article

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Instituto Internacional de Agricultura Tropical (IITA)