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Applications of Machine Learning Methods to Genomic Selection in Breeding Wheat for Rust Resistance
New methods and algorithms are being developed for predicting untested phenotypes in schemes commonly used in genomic selection (GS). The prediction of disease resistance in GS has its own peculiarities: a) there is consensus about the additive nature of quantitative adult plant resistance (APR) gen...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2018-07-01
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| Colecção: | The Plant Genome |
| Acesso em linha: | https://dl.sciencesocieties.org/publications/tpg/articles/11/2/170104 |
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