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Genomic prediction in CIMMYT maize and wheat breeding programs 

Crossa, J.; Perez, P.; Hickey, J.; Burgueño, J.; Ornella, L.; Ceron-Rojas, J.; Zhang, X.; Dreisigacker, S.; Babu, R.; Li, Y.; Bonnett, D.; Mathews, K. (Springer Nature, 2014)
Genomic selection (GS) has been implemented in animal and plant species, and is regarded as a useful tool for accelerating genetic gains. Varying levels of genomic prediction accuracy have been obtained in plants, depending ...
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Genomic prediction of gene bank wheat landraces 

Crossa, J.; Jarquin, D.; Franco, J.; Pérez-Rodríguez, P.; Burgueño, J.; Saint Pierre, C.; Vikram, P.; Sansaloni, C.P.; Petroli, C.D.; Akdemir, D.; Sneller, C.; Reynolds, M.P.; Tattaris, M.; Payne, T.S.; Guzman, C.; Peña-Bautista, R.J.; Wenzl, P.; Sukhwinder Singh (Genetics Society of America, 2016)
This study examines genomic prediction within 8416 Mexican landrace accessions and 2403 Iranian landrace accessions stored in gene banks. The Mexican and Iranian collections were evaluated in separate field trials, including ...
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Single-step genomic and pedigree genotype x environment interaction models for predicting wheat lines in international environments 

Perez-Rodriguez, P.; Crossa, J.; Rutkoski, J.; Singh, R. P.; Legarra, A.; Autrique, E.; De los Campos, G.; Burgueño, J.; Dreisigacker, S. (Crop Science Society of America, 2017)
Genomic prediction models have been commonly used in plant breeding but only in reduced datasets comprising a few hundred genotyped individuals. However, pedigree information for an entire breeding population is frequently ...
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Hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat 

Krause, M.; Gonzalez-Perez, L.; Crossa, J.; Perez-Rodriguez, P.; Montesinos-Lopez, O.A.; Singh, R.P.; Dreisigacker, S.; Poland, J.A.; Rutkoski, J.; Sorrells, M.E.; Gore, M.A.; Mondal, S. (Genetics Society of America, 2019)
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Maize responsiveness to Azospirillum brasilense: insights into genetic control, heterosis and genomic prediction 

Vidotti, M.S.; Matias, F.I.; Alves, F.C.; Perez-Rodriguez, P.; Alvarado Beltrán, G.; Burgueño, J.; Crossa, J.; Fritsche-Neto, R. (Public Library of Science, 2019)
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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)
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Joint use of genome, pedigree, and their interaction with environment for predicting the performance of wheat lines in new environments 

Howard, R.; Gianola, D.; Montesinos-Lopez, O.A.; Juliana, P.; Singh, R.P.; Poland, J.A.; Shrestha, S.; Perez-Rodriguez, P.; Crossa, J.; Jarquin, D. (Genetics Society of America, 2019)
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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)
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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)
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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)
The phenomenon of genotype · environment (G · E) interaction in plant breeding decreases selection accuracy, thereby negatively affecting genetic gains. Several genomic prediction models incorporating G · E have been ...
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Author
Pérez-Rodríguez, Paulino (29)
Crossa, J. (28)Burgueño, J. (14)Montesinos-Lopez, Osval Antonio (12)De Los Campos, Gustavo (8)Cuevas, Jaime (5)Dreisigacker, S. (5)Juliana, P. (5)Singh, R.P. (5)Gianola, D. (4)... View More
Date Issued
2020 (6)2019 (10)2018 (2)2017 (2)2016 (2)2015 (1)2014 (1)2013 (2)2012 (2)2010 (1)
Type
Article (29)
Agrovoc
GENOTYPE ENVIRONMENT INTERACTION (13)BAYESIAN THEORY (10)GENOMICS (9)GENETICS (5)PLANT BREEDING (5)STATISTICAL METHODS (5)FORECASTING (4)MARKER-ASSISTED SELECTION (4)WHEAT (4)DATA ANALYSIS (3)... View More
Keywords
GenPred (6)Shared Data Resources (6)Genomic Selection (5)Genomic Prediction (4)Data Augmentation (2)GBLUP (2)Genomic-Enabled Prediction (2)Multi-Environment (2)Accession × Environment Interaction (1)Agricultural Genetics (1)... View More
Region
Global (3)


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