Cargando…
Genomic prediction in early selection stages using multi-year data in a hybrid rye breeding program
BACKGROUND: The use of multiple genetic backgrounds across years is appealing for genomic prediction (GP) because past years’ data provide valuable information on marker effects. Nonetheless, single-year GP models are less complex and computationally less demanding than multi-year GP models. In devi...
Autores principales: | Bernal-Vasquez, Angela-Maria, Gordillo, Andres, Schmidt, Malthe, Piepho, Hans-Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5452640/ https://www.ncbi.nlm.nih.gov/pubmed/28569139 http://dx.doi.org/10.1186/s12863-017-0512-8 |
Ejemplares similares
-
Early prediction of biomass in hybrid rye based on hyperspectral data surpasses genomic predictability in less-related breeding material
por: Galán, Rodrigo José, et al.
Publicado: (2021) -
Studying Stem Rust and Leaf Rust Resistances of Self-Fertile Rye Breeding Populations
por: Gruner, Paul, et al.
Publicado: (2022) -
Integration of genotypic, hyperspectral, and phenotypic data to improve biomass yield prediction in hybrid rye
por: Galán, Rodrigo José, et al.
Publicado: (2020) -
The importance of phenotypic data analysis for genomic prediction - a case study comparing different spatial models in rye
por: Bernal-Vasquez, Angela-Maria, et al.
Publicado: (2014) -
Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.)
por: Auinger, Hans-Jürgen, et al.
Publicado: (2016)