Autor: Gerard, Guillermo S.
- Optimizing sparse testing for genomic prediction of plant breeding crops
- A marker weighting approach for enhancing within-family accuracy in genomic prediction
- Feature engineering of environmental covariates improves plant genomic-enabled prediction
- Optimizing genomic parental selection for categorical and continuous-categorical multi-trait mixtures
- Data augmentation enhances plant-genomic-enabled predictions
- Deep learning methods improve genomic prediction of wheat breeding
Autor: Montesinos-Lopez, Osval A.
- A marker weighting approach for enhancing within-family accuracy in genomic prediction
- Feature engineering of environmental covariates improves plant genomic-enabled prediction
- Optimizing genomic parental selection for categorical and continuous-categorical multi-trait mixtures
- Data augmentation enhances plant-genomic-enabled predictions
- Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future opportunities
- A review of multimodal deep learning methods for genomic-enabled prediction in plant breeding
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