Similar Items: Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data
- Hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat
- Balancing sensitivity and specificity enhances top and bottom ranking in genomic prediction of cultivars
- 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
- Using an incomplete block design to allocate lines to environments improves sparse genome-based prediction in plant breeding
- Genotype performance estimation in targeted production environments by using sparse genomic prediction
Author: Montesinos-López, Osval A.
Author: Montesinos-López, Abelardo
- Optimizing genomic prediction with transfer learning under a ridge regression framework
- Integration of physiological and remote sensing traits for improved genomic prediction of wheat yield
- Genotype performance estimation in targeted production environments by using sparse genomic prediction
- Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software
- Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data
- Refining penalized ridge regression: a novel method for optimizing the regularization parameter in genomic prediction