• Contact Us
    • Send Feedback
    • Login
    View Item 
    •   Home
    • Journal and Journal Articles
    • Journal and Journal Articles
    • View Item
    •   Home
    • Journal and Journal Articles
    • Journal and Journal Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    Whole Repository
    CollectionsIssue DateRegionCountryHubAffiliationAuthorsTitlesSubject
    This Sub-collection
    Issue DateRegionCountryHubAffiliationAuthorsTitlesSubject

    My Account

    Login

    Welcome to the International Institute of Tropical Agriculture Research Repository

    What would you like to view today?

    Utility of Ugandan genomic selection cassava breeding populations for prediction of cassava viral disease resistance and yield in West African clones

    Thumbnail
    View/Open
    Journal Article (3.276Mb)
    Date
    2022-11-23
    Author
    Ozimati, A.
    Ezuma, W.
    Manze, F.
    Iragaba, P.
    Kanaabi, M.
    Ano, C.U.
    Egesi, C.
    Kawuki, R.S.
    Type
    Journal Article
    Review Status
    Peer Review
    Target Audience
    Scientists
    Metadata
    Show full item record
    Abstract/Description
    Cassava (Manihot esculenta Crantz) is a staple crop for ~800 million people in sub-Saharan Africa. Its production and productivity are being heavily affected by the two viral diseases: cassava brown streak disease (CBSD) and cassava mosaic disease (CMD), impacting greatly on edible root yield. CBSD is currently endemic to central, eastern and southern Africa, if not contained could spread to West Africa the largest cassava producer and consumer in the continent. Genomic selection (GS) has been implemented in Ugandan cassava breeding for accelerated development of virus resistant and high yielding clones. This study leveraged available GS training data in Uganda for pre-emptive CBSD breeding in W. Africa alongside CMD and fresh root yield (FRW). First, we tracked genetic gain through the current three cycles of GS in Uganda. The mean genomic estimated breeding values (GEBVs), indicated general progress from initial cycle zero (C0) to cycle one (C1) and cycle two (C2) for CBSD traits and yield except for CMD. Secondly, we used foliar data of both CBSD and CMD, as well as harvest root necrosis and yield data to perform cross-validation predictions. Cross-validation prediction accuracies of five GS models were tested for each of the three GS cycles and West African (WA) germplasm as a test set. In all cases, cross-validation prediction accuracies were low to moderate, ranging from -0.16 to 0.68 for CBSD traits, -0.27 to 0.57 for CMD and -0.22 to 0.41 for fresh root weight (FRW). Overall, the highest prediction accuracies were recorded in C0 for all traits tested across models and the best performing model in cross-validation was G-BLUP. Lastly, we tested the predictive ability of the Ugandan training sets to predict CBSD in W. African clones. In general, the Ugandan training sets had low prediction accuracies for all traits across models in West African germplasm, varying from -0.18 to 0.1. Based on the findings of this study, the cassava breeding program in Uganda has made progress through application of GS for most target traits, but the utility of the training population for pre-emptive breeding in WA is limiting. In this case, efforts should be devoted to sharing Ugandan germplasm that possess resistance with the W. African breeding programs for hybridization to fully enable deployment of genomic selection as a pre-emptive CBSD breeding strategy in W. Africa.
    https://dx.doi.org/10.3389/fpls.2022.1018156
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/7998
    IITA Authors ORCID
    Chiedozie Egesihttps://orcid.org/0000-0002-9063-2727
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.3389/fpls.2022.1018156
    Research Themes
    Biotech and Plant Breeding
    IITA Subjects
    Agronomy; Cassava; Food Security; Genetic Improvement; Plant Breeding; Plant Diseases; Plant Genetic Resources; Plant Production
    Agrovoc Terms
    Cassava; Genomics; Viroses; Food Security; Climate Change; Models; Uganda; Breeding
    Regions
    Africa; East Africa
    Countries
    Uganda
    Hubs
    Headquarters and Western Africa Hub
    Journals
    Frontiers in Plant Science
    Collections
    • Journal and Journal Articles4842
    copyright © 2019  IITASpace. All rights reserved.
    IITA | Open Access Repository