Person: Martini, J.W.R.
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Martini
First Name
J.W.R.
Name
Martini, J.W.R.
ORCID ID
0000-0003-0628-6794 10 results
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- Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software(Elsevier Ltd., 2025) Crossa, J.; Martini, J.W.R.; Vitale, P.; Pérez-Rodríguez, P.; Costa-Neto, G.; Fritsche-Neto, R.; Runcie, D.E.; Cuevas, J.; Toledo, F.H.; Huihui Li; De Vita, P.; Gerard, G.S.; Dreisigacker, S.; Crespo Herrera, L.A.; Saint Pierre, C.; Bentley, A.R.; Lillemo, M.; Ortiz, R.; Montesinos-Lopez, O.A.; Montesinos-López, A.
Publication - Editorial: Genomic selection: Lessons learned and perspectives(Frontiers, 2022) Martini, J.W.R.; Hearne, S.; Gardunia, B.W.; Wimmer, V.; Toledo, F.H.
Publication - Chapter 9. Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction(Humana Press Inc., 2022) Crossa, J.; Montesinos-Lopez, O.A.; Pérez-Rodríguez, P.; Costa-Neto, G.; Fritsche-Neto, R.; Ortiz, R.; Martini, J.W.R.; Lillemo, M.; Montesinos-López, A.; Jarquin, D.; Breseghello, F.; Cuevas, J.; Rincent, R.
Publication - A comparison of the adoption of genomic selection across different breeding institutions(Frontiers, 2021) Gholami, M.; Wimmer, V.; Sansaloni, C.; Petroli, C.; Hearne, S.; Covarrubias, E.; Rensing, S.; Heise, J.; Pérez-Rodríguez, P.; Dreisigacker, S.; Crossa, J.; Martini, J.W.R.
Publication - Strengthening public breeding pipelines by emphasizing quantitative genetics principles and Open Source data management(Frontiers, 2021) Covarrubias, E.; Martini, J.W.R.; Quinn, M.; Atlin, G.
Publication - Opportunities and challenges of predictive approaches for harnessing the potential of genetic resources(Frontiers, 2021) Martini, J.W.R.; Molnar, T.L.; Crossa, J.; Hearne, S.; Pixley, K.V.
Publication - Application of multi-trait Bayesian decision theory for parental genomic selection(Genetics Society of America, 2021) Villar-Hernández, B.d.J.; Pérez-Elizalde, S.; Martini, J.W.R.; Toledo, F.H.; Pérez-Rodríguez, P.; Krause, M.; Garcia-Calvillo, I.; Covarrubias, E.; Crossa, J.
Publication - A review of deep learning applications for genomic selection(BioMed Central, 2021) Montesinos-Lopez, O.A.; Montesinos-López, A.; Pérez-Rodríguez, P.; Barrón-López, A.; Martini, J.W.R.; Fajardo-Flores, S.B.; Gaytan-Lugo, L.S.; Santana-Mancilla, P.C.; Crossa, J.
Publication - Phantom epistasis in genomic selection: on the predictive ability of epistatic models(Genetics Society of America, 2020) Schrauf, M.F.; Martini, J.W.R.; Simianer, H.; De Los Campos, G.; Cantet, R.; Freudenthal, J.; Korte, A.; Munilla, S.
Publication - Deep kernel and deep learning for genome-based prediction of single traits in multienvironment breeding trials(Frontiers, 2019) Crossa, J.; Martini, J.W.R.; Gianola, D.; Pérez-Rodríguez, P.; Jarquin, D.; Juliana, P.; Montesinos-Lopez, O.A.; Cuevas, J.
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