Autor: Crossa, José
- Sparse kernel models provide optimization of training set design for genomic prediction in multiyear wheat breeding data
- Response to early generation genomic selection for yield in wheat
- Bayesian multitrait kernel methods improve multienvironment genome-based prediction
- Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data
- Results from rapid-cycle recurrent genomic selection in spring bread wheat
- A marker weighting approach for enhancing within-family accuracy in genomic prediction
Autor: Saint Pierre, Carolina
- A marker weighting approach for enhancing within-family accuracy in genomic prediction
- Optimizing genomic parental selection for categorical and continuous-categorical multi-trait mixtures
- Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future opportunities
- Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software
- Optimizing genomic prediction with transfer learning under a ridge regression framework
- Boosting genomic prediction transferability with sparse testing
Ejemplares similares: GWAS case studies in wheat
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- Response to early generation genomic selection for yield in wheat