Cargando…
Optimising Genomic Selection in Wheat: Effect of Marker Density, Population Size and Population Structure on Prediction Accuracy
Genomic selection applied to plant breeding enables earlier estimates of a line’s performance and significant reductions in generation interval. Several factors affecting prediction accuracy should be well understood if breeders are to harness genomic selection to its full potential. We used a panel...
Autores principales: | Norman, Adam, Taylor, Julian, Edwards, James, Kuchel, Haydn |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6118301/ https://www.ncbi.nlm.nih.gov/pubmed/29970398 http://dx.doi.org/10.1534/g3.118.200311 |
Ejemplares similares
-
Increased Prediction Accuracy in Wheat Breeding Trials Using a Marker × Environment Interaction Genomic Selection Model
por: Lopez-Cruz, Marco, et al.
Publicado: (2015) -
Increased genomic prediction accuracy in wheat breeding using a large Australian panel
por: Norman, Adam, et al.
Publicado: (2017) -
Imputation of Unordered Markers and the Impact on Genomic Selection Accuracy
por: Rutkoski, Jessica E., et al.
Publicado: (2013) -
Optimizing Training Population Data and Validation of Genomic Selection for Economic Traits in Soft Winter Wheat
por: Hoffstetter, Amber, et al.
Publicado: (2016) -
Persistency of Prediction Accuracy and Genetic Gain in Synthetic Populations Under Recurrent Genomic Selection
por: Müller, Dominik, et al.
Publicado: (2017)