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Genomic prediction in a large African maize population

Author: Edriss, V.
Author: Yanxin Gao
Author: Zhang, X.
Author: Jumbo, M.B.
Author: Makumbi, D.
Author: Olsen, M.
Author: Crossa, J.
Author: Packard, K.C.
Author: Jannink, J.L.
Year: 2017
URI: http://hdl.handle.net/10883/19104
Abstract: Genomic prediction (GP) combines genomewide marker data with phenotypic data in a training population to predict the genomic estimated breeding values of untested individuals in a relevant testing population. Our objective was to evaluate the effects of p
Format: PDF
Language: English
Publisher: Crop Science Society of America (CSSA)
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, p
Type: Article
Place of Publication: USA
Pages: 2361-2371
Volume: 57
DOI: 10.2135/cropsci2016.08.0715
Agrovoc: MAIZE
Agrovoc: GENOMICS
Agrovoc: FORECASTING
Agrovoc: POPULATION STRUCTURE
Related Datasets: https://dl.sciencesocieties.org/publications/cs/supplements/57/2361-supplement1.pdf
Journal: Crop Science


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  • Maize
    Maize breeding, phytopathology, entomology, physiology, quality, and biotech

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