Cargando…
Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle
BACKGROUND: Recently, artificial neural networks (ANN) have been proposed as promising machines for marker-based genomic predictions of complex traits in animal and plant breeding. ANN are universal approximators of complex functions, that can capture cryptic relationships between SNPs (single nucle...
Autores principales: | Ehret, Anita, Hochstuhl, David, Gianola, Daniel, Thaller, Georg |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379719/ https://www.ncbi.nlm.nih.gov/pubmed/25886037 http://dx.doi.org/10.1186/s12711-015-0097-5 |
Ejemplares similares
-
Vorläufige ergebnisse aus der kreuzung von Rotbunten Holstein-Friesian mit fleckvieh in bayern
por: Averdunk, G, et al.
Publicado: (1975) -
Identification and Dissection of Four Major QTL Affecting Milk Fat Content in the German Holstein-Friesian Population
por: Wang, Xiaolong, et al.
Publicado: (2012) -
Genetic effects and correlations between production and fertility traits and their dependency on the lactation-stage in Holstein Friesians
por: Strucken, Eva M, et al.
Publicado: (2012) -
Mycobacterium bovis Infection in Holstein Friesian Cattle, Iran
por: Tadayon, Keyvan, et al.
Publicado: (2008) -
A new Robertsonian translocation in Holstein-Friesian cattle
por: Pinton, A, et al.
Publicado: (1997)