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    Genomic prediction of the performance of tropical doubled haploid maize mines under artificial Striga hermonthica (Del.) Benth. infestation

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    Journal Article (1.059Mb)
    Date
    2024-08-12
    Author
    Kimutai, J.J.C.
    Makumbi, D.
    Burgueno, J.
    Perez-Rodriguez, P.
    Crossa, J.
    Gowda, M.
    Menkir, A.
    Pacheco, A.
    Ifie, B.E.
    Tongoona, P.
    Danquah, E.Y.
    Prasanna, B.M.
    Type
    Journal Article
    Review Status
    Peer Review
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    Striga hermonthica (Del.) Benth., a parasitic weed, causes substantial yield losses in maize production in sub-Saharan Africa. Breeding for Striga resistance in maize is constrained by limited genetic diversity for Striga resistance within the elite germplasm and phenotyping capacity under artificial Striga infestation. Genomics-enabled approaches have the potential to accelerate identification of Striga resistant lines for hybrid development. The objectives of this study were to evaluate the accuracy of genomic selection for traits associated with Striga resistance and grain yield (GY) and to predict genetic values of tested and untested doubled haploid maize lines. We genotyped 606 doubled haploid lines with 8,439 rAmpSeq markers. A training set of 116 doubled haploid lines crossed to 2 testers was phenotypes under artificial Striga infestation at 3 locations in Kenya. Heritability for Striga resistance parameters ranged from 0.38–0.65 while that for GY was 0.54. The prediction accuracies for Striga resistance-associated traits across locations, as determined by cross-validation (CV) were 0.24–0.53 for CV0 and from 0.20 to 0.37 for CV2. For GY, the prediction accuracies were 0.59 and 0.56 for CV0 and CV2, respectively. The results revealed 300 doubled haploid lines with desirable genomic estimated breeding values for reduced number of emerged Striga plants (STR) at 8, 10, and 12 weeks after planting. The genomic estimated breeding values of doubled haploid lines for Striga resistance-associated traits in the training and testing sets were similar in magnitude. These results highlight the potential application of genomic selection in breeding for Striga resistance in maize. The integration of genomic-assisted strategies and doubled haploid technology for line development coupled with forward breeding for major adaptive traits will enhance genetic gains in breeding for Striga resistance in maize.
    https://doi.org/10.1093/g3journal/jkae186
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/8564
    IITA Authors ORCID
    Abebe Menkirhttps://orcid.org/0000-0002-5907-9177
    Digital Object Identifier (DOI)
    https://doi.org/10.1093/g3journal/jkae186
    Research Themes
    Biotech and Plant Breeding
    IITA Subjects
    Agronomy; Food Security; Genetic Improvement; Maize; Plant Breeding; Plant Production
    Agrovoc Terms
    Striga Hermonthica; Maize; Breeding; Genomics; Phenotypes
    Regions
    Africa; East Africa
    Countries
    Kenya
    Hubs
    Headquarters and Western Africa Hub
    Journals
    G3-Genes Genomes Genetics
    Collections
    • Journal and Journal Articles5286
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