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    Genetic progress in cowpea [Vigna unguiculata (L.) Walp.] stemming from breeding modernization efforts at the International Institute of Tropical Agriculture

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    Journal Article (1.163Mb)
    Date
    2024-05-22
    Author
    Ongom, P.O.
    Fatokun, C.
    Togola, A.
    Dieng, I.
    Salvo, S.
    Gardunia, B.
    Mohammed, S.B.
    Boukar, O.
    Type
    Journal Article
    Review Status
    Peer Review
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    Genetic gain has been proposed as a quantifiable key performance indicator that can be used to monitor breeding programs’ effectiveness. The cowpea breeding program at the International Institute of Tropical Agriculture (IITA) has developed and released improved varieties in 70 countries globally. To quantify the genetic changes to grain yield and related traits, we exploited IITA cowpea historical multi environment trials (METs) advanced yield trial (AYT) data from 2010 to 2022. The genetic gain assessment targeted short duration (SD), medium duration (MD), and late duration (LD) breeding pipelines. A linear mixed model was used to calculate the best linear unbiased estimates (BLUE). Regressed BLUE of grain yield by year of genotype origin depicted realized genetic gain of 22.75 kg/ha/year (2.65%), 7.91kg/ha/year (0.85%), and 22.82 kg/ha/year (2.51%) for SD, MD, and LD, respectively. No significant gain was realized in 100-seed weight (Hsdwt). We predicted, based on2022 MET data, that recycling the best genotypes at AYT stage would result in grain yield gain of 37.28 kg/ha/year (SD), 28.00 kg/ha/year (MD), and 34.85 kg/ha/year (LD), and Hsdwt gain of 0.48 g/year (SD), 0.68 g/year (MD), and 0.55 g/year (LD).These results demonstrated a positive genetic gain trend for cowpea, indicating that a yield plateau has not yet been reached and that accelerated gain is expected with the recent integration of genomics in the breeding program. Advances in genomics include the development of the reference genome, genotyping platforms, quantitative trait loci mapping of key traits, and active implementation of molecular breeding.
    https://doi.org/10.1002/tpg2.20462
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/8607
    IITA Authors ORCID
    Patrick Ongomhttps://orcid.org/0000-0002-5303-3602
    Christian Fatokunhttps://orcid.org/0000-0002-8428-7939
    Ibnou Dienghttps://orcid.org/0000-0002-1051-9143
    Ousmanehttps://orcid.org/0000-0003-0234-4264
    Digital Object Identifier (DOI)
    https://doi.org/10.1002/tpg2.20462
    Research Themes
    Biotech and Plant Breeding; Plant Production and Health
    IITA Subjects
    Agronomy; Cowpea; Food Security; Grain Legumes; Plant Breeding; Plant Production
    Agrovoc Terms
    Genetics; Breeding; Yields; Grain; Assessment; Genomics; Genotypes; Africa; Cowpeas
    Regions
    Africa; West Africa
    Countries
    Nigeria
    Hubs
    Headquarters and Western Africa Hub
    Journals
    Plant Genome
    Collections
    • Journal and Journal Articles5286
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