Cargando…
Genomic Prediction with Pedigree and Genotype × Environment Interaction in Spring Wheat Grown in South and West Asia, North Africa, and Mexico
Developing genomic selection (GS) models is an important step in applying GS to accelerate the rate of genetic gain in grain yield in plant breeding. In this study, seven genomic prediction models under two cross-validation (CV) scenarios were tested on 287 advanced elite spring wheat lines phenotyp...
Autores principales: | Sukumaran, Sivakumar, Crossa, Jose, Jarquin, Diego, Lopes, Marta, Reynolds, Matthew P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5295595/ https://www.ncbi.nlm.nih.gov/pubmed/27903632 http://dx.doi.org/10.1534/g3.116.036251 |
Ejemplares similares
-
Joint Use of Genome, Pedigree, and Their Interaction with Environment for Predicting the Performance of Wheat Lines in New Environments
por: Howard, Réka, et al.
Publicado: (2019) -
Genomic Prediction of Gene Bank Wheat Landraces
por: Crossa, José, et al.
Publicado: (2016) -
Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction
por: Bandeira e Sousa, Massaine, et al.
Publicado: (2017) -
Results from rapid-cycle recurrent genomic selection in spring bread wheat
por: Dreisigacker, Susanne, et al.
Publicado: (2023) -
Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models
por: Cuevas, Jaime, et al.
Publicado: (2016)