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Page 1
Data Augmentation Enhances Plant-Genomic-Enabled Predictions.
Montesinos-López OA, Solis-Camacho MA, Crespo-Herrera L, Saint Pierre C, Huerta Prado GI, Ramos-Pulido S, Al-Nowibet K, Fritsche-Neto R, Gerard G, Montesinos-López A, Crossa J. Montesinos-López OA, et al. Among authors: ramos pulido s. Genes (Basel). 2024 Feb 24;15(3):286. doi: 10.3390/genes15030286. Genes (Basel). 2024. PMID: 38540344 Free PMC article.
Bayesian discrete lognormal regression model for genomic prediction.
Montesinos-López A, Gutiérrez-Pulido H, Ramos-Pulido S, Montesinos-López JC, Montesinos-López OA, Crossa J. Montesinos-López A, et al. Among authors: ramos pulido s. Theor Appl Genet. 2024 Jan 14;137(1):21. doi: 10.1007/s00122-023-04526-4. Theor Appl Genet. 2024. PMID: 38221602
A novel method for genomic-enabled prediction of cultivars in new environments.
Montesinos-López OA, Ramos-Pulido S, Hernández-Suárez CM, Mosqueda González BA, Valladares-Anguiano FA, Vitale P, Montesinos-López A, Crossa J. Montesinos-López OA, et al. Among authors: ramos pulido s. Front Plant Sci. 2023 Jul 25;14:1218151. doi: 10.3389/fpls.2023.1218151. eCollection 2023. Front Plant Sci. 2023. PMID: 37564390 Free PMC article.
Deep learning methods improve genomic prediction of wheat breeding.
Montesinos-López A, Crespo-Herrera L, Dreisigacker S, Gerard G, Vitale P, Saint Pierre C, Govindan V, Tarekegn ZT, Flores MC, Pérez-Rodríguez P, Ramos-Pulido S, Lillemo M, Li H, Montesinos-López OA, Crossa J. Montesinos-López A, et al. Among authors: ramos pulido s. Front Plant Sci. 2024 Mar 4;15:1324090. doi: 10.3389/fpls.2024.1324090. eCollection 2024. Front Plant Sci. 2024. PMID: 38504889 Free PMC article.