Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.)

KEY MESSAGE: Genomic prediction accuracy can be significantly increased by model calibration across multiple breeding cycles as long as selection cycles are connected by common ancestors. ABSTRACT: In hybrid rye breeding, application of genome-based prediction is expected to increase selection gain...

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Detalles Bibliográficos
Autores principales: Auinger, Hans-Jürgen, Schönleben, Manfred, Lehermeier, Christina, Schmidt, Malthe, Korzun, Viktor, Geiger, Hartwig H., Piepho, Hans-Peter, Gordillo, Andres, Wilde, Peer, Bauer, Eva, Schön, Chris-Carolin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069347/
https://www.ncbi.nlm.nih.gov/pubmed/27480157
http://dx.doi.org/10.1007/s00122-016-2756-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069347/
https://www.ncbi.nlm.nih.gov/pubmed/27480157
http://dx.doi.org/10.1007/s00122-016-2756-5

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