Cargando…
Calibration and validation of predicted genomic breeding values in an advanced cycle maize population
KEY MESSAGE: Model training on data from all selection cycles yielded the highest prediction accuracy by attenuating specific effects of individual cycles. Expected reliability was a robust predictor of accuracies obtained with different calibration sets. ABSTRACT: The transition from phenotypic to...
Autores principales: | Auinger, Hans-Jürgen, Lehermeier, Christina, Gianola, Daniel, Mayer, Manfred, Melchinger, Albrecht E., da Silva, Sofia, Knaak, Carsten, Ouzunova, Milena, Schön, Chris-Carolin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354938/ https://www.ncbi.nlm.nih.gov/pubmed/34117908 http://dx.doi.org/10.1007/s00122-021-03880-5 |
Ejemplares similares
-
European maize landraces made accessible for plant breeding and genome-based studies
por: Hölker, Armin C., et al.
Publicado: (2019) -
Genetic diversity of European maize landraces: Dataset on the molecular and phenotypic variation of derived doubled-haploid populations
por: Mayer, Manfred, et al.
Publicado: (2022) -
Discovery of beneficial haplotypes for complex traits in maize landraces
por: Mayer, Manfred, et al.
Publicado: (2020) -
Genomic prediction in hybrid breeding: I. Optimizing the training set design
por: Melchinger, Albrecht E., et al.
Publicado: (2023) -
Exploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools
por: Gaikpa, David Sewordor, et al.
Publicado: (2020)