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Genomic prediction in a large African maize population
Autor: | Edriss, V. |
Autor: | Yanxin Gao |
Autor: | Xuecai Zhang |
Autor: | Jumbo, M.B. |
Autor: | Makumbi, D. |
Autor: | Olsen, M. |
Autor: | Crossa, J. |
Autor: | Packard, K.C. |
Autor: | Jannink, J.L. |
Año: | 2017 |
URI: | http://hdl.handle.net/10883/19104 |
Resumen: | 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 |
Formato: | |
Lenguaje: | English |
Editor: | 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 |
Tipo: | Article |
Lugar de publicación: | USA |
Páginas: | 2361-2371 |
Volumen: | 57 |
DOI: | 10.2135/cropsci2016.08.0715 |
Agrovoc: | MAIZE |
Agrovoc: | GENOMICS |
Agrovoc: | FORECASTING |
Agrovoc: | POPULATION STRUCTURE |
Datasets relacionados: | https://dl.sciencesocieties.org/publications/cs/supplements/57/2361-supplement1.pdf |
Revista: | Crop Science |
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Maize
Maize breeding, phytopathology, entomology, physiology, quality, and biotech