Differentially penalized regression to predict agronomic traits from metabolites and markers in wheat

BACKGROUND: Genomic prediction of agronomic traits as targets for selection in plant breeding programmes is increasingly common. The methods employed can also be applied to predict traits from other sources of covariates, such as metabolomics. However, prediction combining sets of covariates can be...

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Detalles Bibliográficos
Autores principales: Ward, Jane, Rakszegi, Mariann, Bedő, Zoltán, Shewry, Peter R, Mackay, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4348103/
https://www.ncbi.nlm.nih.gov/pubmed/25879431
http://dx.doi.org/10.1186/s12863-015-0169-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4348103/
https://www.ncbi.nlm.nih.gov/pubmed/25879431
http://dx.doi.org/10.1186/s12863-015-0169-0

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