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Article
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META-R: a software to analyze data from multi-environment plant breeding trials 

Alvarado Beltrán, G.; Rodríguez, F.; Pacheco Gil, R. A.; Burgueño, J.; Crossa, J.; Vargas-Hernández, M.; Perez-Rodriguez, P.; Lopez-Cruz, M. (Elsevier, 2020)
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A data-driven simulation platform to predict cultivars’ performances under uncertain weather conditions 

De Los Campos, Gustavo; Perez-Rodriguez, P.; Bogard, M.; Gouache, D.; Crossa, J. (Nature Publishing Group, 2020)
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Genomic prediction in maize breeding populations with genotyping-by sequencing 

Crossa, J.; Beyene, Y.; Semagn, K.; Perez, P.; Hickey, J.M.; Chen Charles; Campos, G. de los; Burgueño, J.; Windhausen, V.S.; Buckler, E.S.; Jannink, J.L.; Lopez Cruz, M.A.; Babu, R. (Genetics Society of America, 2013)
Genotyping-by-sequencing (GBS) technologies have proven capacity for delivering large numbers of marker genotypes with potentially less ascertainment bias than standard single nucleotide polymorphism (SNP) arrays. Therefore, ...
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Genomic-enabled prediction based on molecular markers and pedigree using the Bayesian linear regression package in R 

Perez, P.; De los Campos, G.; Crossa, J.; Gianola, D. (Crop Science Society of America, 2010)
The availability of dense molecular markers has made possible the use of genomic selection in plant and animal breeding. However, models for genomic selection pose several computational and statistical challenges and require ...
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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)
In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression models have been used. This study assessed the predictive ability of linear and non-linear models using dense molecular markers. The ...
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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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Strategies for effective use of genomic information in crop breeding programs serving Africa and South Asia 

Santantonio, N.; Atanda, A.S.; Beyene, Y.; Varshney, R.K.; Olsen, M.; Jones, E.; Roorkiwal, M.; Gowda, M.; Chellapilla Bharadwaj; Pooran M. Gaur; Zhang, X.; Dreher, K.A.; Ayala Hernández, C.; Crossa, J.; Perez-Rodriguez, P.; Abhishek Rathore; Yanxin Gao; McCouch, S.; Robbins, K. (Frontiers, 2020)
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Modeling genotype × environment interaction using a factor analytic model of on-farm wheat trials in the Yaqui Valley of Mexico 

Vargas Hernández, M.; Ortíz-Monasterios, I.; Perez-Rodriguez, P.; Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Burgueño, J.; Crossa, J. (American Society of Agronomy, 2019)
On‐farm trials of bread and durum wheat in the Yaqui Valley region of southern Sonora, Mexico, were established for three cropping seasons (2012, 2013, and 2015) using the management practices implemented by farmers. The ...
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isqg: a binary framework for in silico quantitative genetics 

Toledo, F.H.; Perez-Rodriguez, P.; Crossa, J.; Burgueño, J. (Genetics Society of America, 2019)
The dna is the fundamental basis of genetic information, just as bits are for computers. Whenever computers are used to represent genetic data, the computational encoding must be efficient to allow the representation of ...
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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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Genetic ResourcesInstitutionalIntegrated DevelopmentMaizeSocioeconomicsSustainable IntensificationWheat

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Author
Crossa, J. (44)
Pérez-Rodríguez, Paulino (44)
Burgueño, J. (18)Montesinos-Lopez, Osval Antonio (15)Dreisigacker, S. (11)De Los Campos, Gustavo (9)Singh, R.P. (9)Juliana, P. (7)Zhang, Xuecai (7)Gianola, D. (6)... View More
Date Issued
2020 - 2021 (11)2010 - 2019 (32)
Type
Article (42)Presentation (2)
Agrovoc
GENOMICS (15)GENOTYPE ENVIRONMENT INTERACTION (15)BAYESIAN THEORY (13)WHEAT (12)MARKER-ASSISTED SELECTION (10)PLANT BREEDING (8)STATISTICAL METHODS (8)DATA ANALYSIS (5)FORECASTING (5)GENETIC MARKERS (5)... View More
Keywords
Genomic Selection (8)GenPred (7)Shared Data Resources (7)Genomic Prediction (5)Data Augmentation (2)GBLUP (2)Genomic-Enabled Prediction (2)Loss Function (2)Accession × Environment Interaction (1)Additive Genetic Variance (1)... View More
Region
Global (4)


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