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Paulino Pérez
Paulino Pérez
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Title
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Cited by
Year
Genome-wide regression and prediction with the BGLR statistical package
P Pérez, G de Los Campos
Genetics 198 (2), 483-495, 2014
1297*2014
Genomic selection in plant breeding: methods, models, and perspectives
J Crossa, P Pérez-Rodríguez, J Cuevas, O Montesinos-López, D Jarquín, ...
Trends in plant science 22 (11), 961-975, 2017
11782017
Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers
J Crossa, G Campos, P Pérez, D Gianola, J Burgueno, JL Araus, ...
Genetics 186 (2), 713-724, 2010
8332010
PlnTFDB: updated content and new features of the plant transcription factor database
P Pérez-Rodríguez, DM Riano-Pachon, LGG Corrêa, SA Rensing, ...
Nucleic acids research 38 (suppl_1), D822-D827, 2010
7192010
A reaction norm model for genomic selection using high-dimensional genomic and environmental data
D Jarquín, J Crossa, X Lacaze, P Du Cheyron, J Daucourt, J Lorgeou, ...
Theoretical and applied genetics 127, 595-607, 2014
5102014
Genomic prediction in CIMMYT maize and wheat breeding programs
J Crossa, P Perez, J Hickey, J Burgueno, L Ornella, J Cerón-Rojas, ...
Heredity 112 (1), 48-60, 2014
4372014
Genomic prediction in maize breeding populations with genotyping-by-sequencing
J Crossa, Y Beyene, S Kassa, P Pérez, JM Hickey, C Chen, ...
G3: Genes, genomes, genetics 3 (11), 1903-1926, 2013
2852013
Genomic‐enabled prediction based on molecular markers and pedigree using the Bayesian linear regression package in R
P Pérez, G de Los Campos, J Crossa, D Gianola
The plant genome 3 (2), 2010
2552010
A growth phenotyping pipeline for Arabidopsis thaliana integrating image analysis and rosette area modeling for robust quantification of genotype effects
S Arvidsson, P Pérez‐Rodríguez, B Mueller‐Roeber
New Phytologist 191 (3), 895-907, 2011
2322011
Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat
P Pérez-Rodríguez, D Gianola, JM González-Camacho, J Crossa, ...
G3: Genes| Genomes| Genetics 2 (12), 1595-1605, 2012
2272012
Genome-enabled prediction of genetic values using radial basis function neural networks
JM González-Camacho, G de Los Campos, P Pérez, D Gianola, ...
Theoretical and Applied Genetics 125, 759-771, 2012
2202012
Genomic prediction in biparental tropical maize populations in water-stressed and well-watered environments using low-density and GBS SNPs
X Zhang, P Pérez-Rodríguez, K Semagn, Y Beyene, R Babu, ...
Heredity 114 (3), 291-299, 2015
2122015
Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics
P Juliana, J Poland, J Huerta-Espino, S Shrestha, J Crossa, ...
Nature genetics 51 (10), 1530-1539, 2019
2072019
META-R: A software to analyze data from multi-environment plant breeding trials
G Alvarado, FM Rodríguez, A Pacheco, J Burgueño, J Crossa, M Vargas, ...
The Crop Journal 8 (5), 745-756, 2020
1932020
Genomic prediction of gene bank wheat landraces
J Crossa, D Jarquín, J Franco, P Pérez-Rodríguez, J Burgueño, ...
G3: Genes, Genomes, Genetics 6 (7), 1819-1834, 2016
1672016
Genomic selection and prediction in plant breeding
J Crossa, P Pérez, G de los Campos, G Mahuku, S Dreisigacker, ...
Journal of Crop Improvement 25 (3), 239-261, 2011
1632011
A review of deep learning applications for genomic selection
OA Montesinos-López, A Montesinos-López, P Pérez-Rodríguez, ...
BMC genomics 22, 1-23, 2021
1562021
A Pedigree-Based Reaction Norm Model for Prediction of Cotton Yield in Multienvironment Trials
P Pérez-Rodríguez, J Crossa, K Bondalapati, G De Meyer, P Fabiano, ...
Crop Science 55 (3), 1143-1151, 2015
148*2015
Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models
J Cuevas, J Crossa, OA Montesinos-López, J Burgueño, ...
G3: Genes, Genomes, Genetics 7 (1), 41-53, 2017
1372017
Genomic prediction of genotype× environment interaction kernel regression models
J Cuevas, J Crossa, V Soberanis, S Pérez‐Elizalde, P Pérez‐Rodríguez, ...
The plant genome 9 (3), plantgenome2016.03.0024, 2016
1352016
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