Ejemplares similares: A graph model for genomic prediction in the context of a linear mixed model framework
- Refining penalized ridge regression: a novel method for optimizing the regularization parameter in genomic prediction
- Balancing sensitivity and specificity enhances top and bottom ranking in genomic prediction of cultivars
- Algorithmic differentiation of linear mixed models with variance-covariance structures
- Multilevel diagnostics for mixed and hierarchical linear models
- Using an incomplete block design to allocate lines to environments improves sparse genome-based prediction in plant breeding
- Linear Models for the Prediction of the Genetic Merit of Animals
Autor: Montesinos-Lopez, Osval A.
- Enhancing wheat genomic prediction by a hybrid kernel approach
- Data augmentation enhances plant-genomic-enabled predictions
- A marker weighting approach for enhancing within-family accuracy in genomic prediction
- Optimizing genomic prediction with transfer learning under a ridge regression framework
- Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future opportunities
- Genotype performance estimation in targeted production environments by using sparse genomic prediction