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Article
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Maximum a posteriori Threshold Genomic Prediction model for ordinal traits 

Montesinos-López, A.; Gutierrez-Pulido, H.; Montesinos-Lopez, O.A.; Crossa, J. (Genetics Society of America, 2020)
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A multivariate Poisson deep learning model for genomic prediction of count data 

Montesinos-Lopez, O.A.; Montesinos-Lopez, J.C.; Singh, P.K.; Lozano-Ramirez, N.; Barrón-López, A.; Montesinos-Lopez, A.; Crossa, J. (Genetics Society of America, 2020)
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A zero altered Poisson random forest model for genomic-enabled prediction 

Montesinos-Lopez, O.A.; Montesinos-López, A.; Mosqueda-Gonzalez, B.A.; Montesinos-Lopez, J.C.; Crossa, J.; Lozano-Ramirez, N.; Singh, P.K.; Valladares-Anguiano, F.A. (Genetics Society of America, 2021)
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Origin specific genomic selection: a simple process to optimize the favorable contribution of parents to progeny 

Chin Jian Yang; Sharma, R.; Gorjanc, G.; Hearne, S.; Powell, W.; Mackay, I. (Genetics Society of America, 2020)
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A bayesian poisson-lognormal model for count data for multiple-trait multiple-environment genomic-enabled prediction 

Montesinos-Lopez, O.A.; Montesinos-López, A.; Crossa, J.; Toledo, F.H.; Montesinos-López, J.C.; Singh, P.K.; Juliana, P.; Salinas Ruiz. J. (Genetics Society of America, 2017)
When a plant scientist wishes to make genomic-enabled predictions of multiple traits measured in multiple individuals in multiple environments, the most common strategy for performing the analysis is to use a single trait ...
Article
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Increased prediction accuracy in wheat breeding trials using a marker x environment interaction Genomic Selection model 

Lopez-Cruz, M.; Poland, J.; Jannink, J.L.; De los Campos, G.; Crossa, J.; Singh, R.P.; Dreisigacker, S.; Bonnett, D.; Autrique, E. (Genetics Society of America, 2015)
Genomic selection (GS) models use genome-wide genetic information to predict genetic values of candidates of selection. Originally, these models were developed without considering genotype · environment interaction( G·E). ...
Article
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A genomic selection index applied to simulated and real data 

Ceron Rojas, J.J.; Crossa, J.; Arief, V.N.; Basford, K.E.; Rutkoski, J.; Jarquin, D.; Alvarado, G.; Beyene, Y.; Fentaye Kassa Semagn; DeLacy, I.H. (Genetics Society of America, 2015)
A genomic selection index (GSI) is a linear combination of genomic estimated breeding values that uses genomic markers to predict the net genetic merit and select parents from a nonphenotyped testing population. Some authors ...
Article
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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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Genome-wide association study and QTL mapping reveal genomic loci associated with Fusarium ear rot resistance in tropical maize germplasm 

Jiafa Chen; Shrestha, R.; Ding, J.; Zheng, H.; Chunhua Mu; Wu, J.; Mahuku, G. (Genetics Society of America, 2016)
Fusarium ear rot (FER) incited by Fusarium verticillioides is a major disease of maize that reduces grain quality globally. Host resistance is the most suitable strategy for managing the disease. We report the results of ...
Article
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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
Crossa, J. (15)Montesinos-Lopez, O.A. (10)Burgueño, J. (6)Montesinos-López, A. (6)Pérez-Rodríguez, P. (5)Cuevas, J. (4)De Los Campos, G. (3)Fritsche-Neto, R. (3)Juliana, P. (3)Singh, P.K. (3)... View More
Date Issued
2021 (1)2020 (3)2019 (2)2018 (4)2017 (3)2016 (2)2015 (2)2013 (1)
Type
Article (17)
Agrovoc
BAYESIAN THEORY (8)GENOMICS (7)STATISTICAL METHODS (7)DATA ANALYSIS (5)GENOTYPE ENVIRONMENT INTERACTION (5)MARKER-ASSISTED SELECTION (5)ARTIFICIAL SELECTION (4)PLANT BREEDING (4)CROP FORECASTING (3)FORECASTING (3)... View More
Keywords
Genomic Selection (18)
GenPred (18)
Shared Data Resources (17)Genomic Prediction (6)GBLUP (3)Deep Learning (2)Multi-Trait Multi-Environment (2)Support Vector Machine (2)Assymetric Distributions (1)Bayesian Decision Theory (1)... View More


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