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    Prospects for Genomic Selection in Cassava Breeding

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    U17ArtWolfeProspectsInthomDev.pdf (1.700Mb)
    Date
    2017
    Author
    Wolfe, M.D.
    Carpio, D.P. del
    Alabi, O.
    Ezenwaka, L.C.
    Ikeogu, Ugochukwu N.
    Kayondo, I.S.
    Lozano, R.
    Okeke, U.G.
    Ozimati, A.A.
    Williams, E.
    Egesi, Chiedozie N.
    Kawuki, Robert S.
    Kulakow, P.A.
    Rabbi, Ismail Y
    Jannink, Jean-Luc
    Type
    Journal Article
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    Cassava (Manihot esculenta Crantz) is a clonally propagated staple food crop in the tropics. Genomic selection (GS) has been implemented at three breeding institutions in Africa to reduce cycle times. Initial studies provided promising estimates of predictive abilities. Here, we expand on previous analyses by assessing the accuracy of seven prediction models for seven traits in three prediction scenarios: cross-validation within populations, cross-population prediction and cross-generation prediction. We also evaluated the impact of increasing the training population (TP) size by phenotyping progenies selected either at random or with a genetic algorithm. Cross-validation results were mostly consistent across programs, with nonadditive models predicting of 10% better on average. Cross-population accuracy was generally low (mean = 0.18) but prediction of cassava mosaic disease increased up to 57% in one Nigerian population when data from another related population were combined. Accuracy across generations was poorer than within-generation accuracy, as expected, but accuracy for dry matter content and mosaic disease severity should be sufficient for rapid-cycling GS. Selection of a prediction model made some difference across generations, but increasing TP size was more important. With a genetic algorithm, selection of one-third of progeny could achieve an accuracy equivalent to phenotyping all progeny. We are in the early stages of GS for this crop but the results are promising for some traits. General guidelines that are emerging are that TPs need to continue to grow but phenotyping can be done on a cleverly selected subset of individuals, reducing the overall phenotyping burden.
    http://dx.doi.org/10.3835/plantgenome2017.03.0015
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/2301
    Digital Object Identifier (DOI)
    http://dx.doi.org/10.3835/plantgenome2017.03.0015
    Research Themes
    BIOTECH & PLANT BREEDING
    IITA Subjects
    Cassava; Genetic Improvement; Plant Breeding; Plant Genetic Resources
    Agrovoc Terms
    Cassava; Manihot Esculenta; Genomics; Germplasm; Phenotyped Traits; Breeding
    Regions
    Acp; Africa; East Africa; South America; West Africa
    Countries
    Colombia; Nigeria; Uganda
    Journals
    The Plant Genome
    Collections
    • Journal and Journal Articles5283
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