Browsing by Author "Pérez-Rodríguez, P."

Article

A review of deep learning applications for genomic selection

Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Perez-Rodriguez, P.; Barrón-López, A.; Martini, J.W.R.; Fajardo-Flores, S.B.; Gaytan-Lugo, L.S.; Santana-Mancilla, P.C.; Crossa, J. (BioMed Central, 2021)

Article

Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels

Puhl, L.; Crossa, J.; Munilla, S.; Perez-Rodriguez, P.; Cantet, R. (Oxford University Press, 2021)

Article

Application of genomic selection at the early stage of breeding pipeline in tropical maize

Beyene, Y.; Gowda, M.; Perez-Rodriguez, P.; Olsen, M.; Robbins, K.; Burgueño, J.; Prasanna, B.M.; Crossa, J. (Frontiers, 2021)

Article

Application of multi-trait Bayesian decision theory for parental genomic selection

Villar-Hernandez, B.d.J.; Perez-Elizalde, S.; Martini, J.W.R.; Toledo, F.H.; Perez-Rodriguez, P.; Krause, M.; García-Calvillo, I.D.; Covarrubias, E.; Crossa, J. (Genetics Society of America, 2021)

Article

Applications of machine learning methods to genomic selection in breeding wheat for rust resistance

González-Camacho, J.M; Ornella, L.; Pérez-Rodríguez, P.; Gianola, D.; Dreisigacker, S.; Crossa, J. (Crop Science Society of America, 2018)

Article

Approximate genome-based kernel models for large data sets including main effects and interactions

Cuevas, J.; Montesinos-Lopez, O.A.; Martini, J.W.R.; Perez-Rodriguez, P.; Lillemo, M.; Crossa, J. (Frontiers, 2020)

Article

Author correction: a data-driven simulation platform to predict cultivars’ performances under uncertain weather conditions

De los Campos, G.; Perez-Rodriguez, P.; Bogard, M.; Gouache, D.; Crossa, J. (Nature Publishing Group, 2021)

Article

A Bayesian decision theory approach for genomic selection

Villar-Hernandez, B.d.J.; Perez-Elizalde, S.; Crossa, J.; Perez-Rodriguez, P.; Toledo, F.H.; Burgueño, J. (Genetics Society of America, 2018)

Article

Bayesian Genomic Prediction with Genotype x Environment Interaction Kernel Models

Cuevas, J.; Montesinos-López, Osval A.; Burgueño, J.; Pérez-Rodríguez, P.; De los Campos, G. (Genetics Society of America, 2017)

Article

A bayesian genomic regression model with skew normal random errors

Pérez-Rodríguez, P.; Acosta-Pech, R.; Perez-Elizalde, S.; Velasco Cruz, C.; Suarez Espinosa, J.; Crossa, J. (Genetics Society of America, 2018)

Article

Bayesian regularized quantile regression: a robust alternative for genome-based prediction of skewed data

Perez-Rodriguez, P.; Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Crossa, J. (Elsevier, 2020)

Article

Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat

Pérez-Rodríguez, P.; Gianola, D.; Gonzalez-Camacho, J.M.; Crossa, J.; Manes, Y.; Dreisigacker, S. (Genetics Society of America, 2012)

Article

A data-driven simulation platform to predict cultivars’ performances under uncertain weather conditions

De Los Campos, G.; Perez-Rodriguez, P.; Bogard, M.; Gouache, D.; Crossa, J. (Nature Publishing Group, 2020)

Article

Deep kernel and deep learning for genome-based prediction of single traits in multienvironment breeding trials

Crossa, J.; Martini, J.W.R.; Gianola, D.; Perez-Rodriguez, P.; Jarquín, D.; JULIANA P.; Montesinos-Lopez, O.A.; Cuevas, J. (Frontiers, 2019)

Article

Deep kernel for genomic and near infrared predictions in multi-environment breeding trials

Cuevas, J.; Montesinos-Lopez, O.A.; Juliana, P.; Guzman, C.; Perez-Rodriguez, P.; González-Bucio, J.; Burgueño, J.; Montesinos-Lopez, A.; Crossa, J. (Genetics Society of America, 2019)

Article

Empirical comparison of tropical maize hybrids selected through genomic and phenotypic selections

Beyene, Y.; Gowda, M.; Olsen, M.; Robbins, K.; Perez-Rodriguez, P.; Alvarado Beltrán, G.; Dreher, K.A.; Yanxin Gao; Mugo, S.N.; Prasanna, B.M.; Crossa, J. (Frontiers, 2019)

Article

Extending the marker x environment interaction model for genomic-enabled prediction and genome-wide association analysis in durum wheat

Crossa, J.; De Los Campos, G.; Maccaferri, M.; Tuberosa, R.; Burgueño, J.; Perez-Rodriguez, P. (Crop Science Society of America (CSSA), 2016)

Article

Genome-enabled prediction of genetic values using radial basis function neural networks

Gonzalez-Camacho, J.M.; Campos, G. de los; Perez, P.; Gianola, D.; Cairns, J.E.; Mahuku, G.; Babu, R.; Crossa, J. (Springer, 2012)

Article

Genomic prediction across years in a maize doubled haploid breeding program to accelerate early-stage testcross testing

Nan Wang; Hui Wang; Ao Zhang; Yubo Liu; Diansi Yu; Zhuanfang Hao; Ilut, D.C.; Glaubitz, J.C.; Yanxin Gao; Jones, E.; Olsen, M.; Xinhai Li; San Vicente, F.M.; Prasanna, B.M.; Crossa, J.; Perez-Rodriguez, P.; Zhang, X. (Springer, 2020)

Article

Genomic prediction in biparental tropical maize populations in water-stressed and well-watered environments using low-density and GBS SNPs

Xuecai Zhang; Pérez-Rodríguez, P.; Semagn, K.; Beyene, Y.; Babu, R.; Lopez-Cruz, M.; San Vicente, F.M.; Olsen, M.; Buckler, E.; Jannink, J.L.; Prasanna, B.M.; Crossa, J. (Springer Nature, 2015)

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