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Genomic prediction models for count data 

Montesinos-López, O.A.; Montesinos-López, A.; Pérez-Rodríguez, P.; Eskridge, K.; Xinyao He; Juliana, P.; Singh, P.; Crossa, J. (Springer Verlag; American Statistical Association; International Biometrics Society, 2015)
Whole genome prediction models are useful tools for breeders when selecting candidate individuals early in life for rapid genetic gains. However, most prediction models developed so far assume that the response variable ...
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An R Package for Bayesian analysis of multi-environment and multi-trait multi-environment data for genome-based prediction 

Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Luna-Vazquez, F.J.; Toledo, F.H.; Perez-Rodriguez, P.; Lillemo, M.; Crossa, J. (Genetics Society of America, 2019)
Evidence that genomic selection (GS) is a technology that is revolutionizing plant breeding continues to grow. However, it is very well documented that its success strongly depends on statistical models, which are used by ...
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New deep learning genomic-based prediction model for multiple traits with binary, ordinal, and continuous phenotypes 

Montesinos-Lopez, O.A.; Martin-Vallejo, J.; Crossa, J.; Gianola, D.; Hernández Suárez, C.M.; Montesinos-López, A.; Juliana, P.; Singh, R.P. (Genetics Society of America, 2019)
Multiple-trait experiments with mixed phenotypes (binary, ordinal and continuous) are not rare in animal and plant breeding programs. However, there is a lack of statistical models that can exploit the correlation between ...
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A new deep learning calibration method enhances genome-based prediction of continuous crop traits 

Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Mosqueda-Gonzalez, B.A.; Bentley, A.R.; Lillemo, M.; Varshney, R.K.; Crossa, J. (Frontiers, 2021)
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Prediction of near-term climate change impacts on UK wheat quality and the potential for adaptation through plant breeding 

Fradgley, N.; Bacon, J.; Bentley, A.R.; Costa-Neto, G.; Cottrell, A.; Crossa, J.; Cuevas, J.; Kerton, M.; Pope, E.; Swarbreck, S.M.; Gardner, K.A. (Wiley, 2022)
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Genetic dissection of quantitative resistance to common rust (Puccinia sorghi) in tropical maize (Zea mays L.) by combined genome-wide association study, linkage mapping, and genomic prediction 

Jiaojiao Ren; Zhimin Li; Penghao Wu; Ao Zhang; Yubo Liu; Guanghui Hu; Shiliang Cao; Jingtao Qu; Dhliwayo, T.; Hongjian Zheng; Olsen, M.; Prasanna, B.M.; San Vicente, F.M.; Zhang, X. (Frontiers, 2021)
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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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Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials 

Montesinos-Lopez, A.; Runcie, D.E.; Ibba, M.I.; Perez-Rodriguez, P.; Montesinos-Lopez, O.A.; Crespo Herrera, L.A.; Bentley, A.R.; Crossa, J. (Genetics Society of America, 2021)
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Bayesian multitrait kernel methods improve multienvironment genome-based prediction 

Montesinos-Lopez, O.A.; Montesinos-Lopez, J.C.; Montesinos-Lopez, A.; Ramirez-Alcaraz, J.M.; Poland, J.A.; Singh, R.P.; Dreisigacker, S.; Crespo Herrera, L.A.; Mondal, S.; Velu, G.; Juliana, P.; Huerta-Espino, J.; Shrestha, S.; Varshney, R.K.; Crossa, J. (Oxford University Press, 2022)
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Identification of genomic regions associated with agronomic and disease resistance traits in a large set of multiple DH populations 

Sadessa, K.; Beyene, Y.; Ifie, B.E.; Mahabaleswara, S.L.; Olsen, M.; Ogugo, V.; Dagne Wegary Gissa; Tongoona, P.; Danquah, E.; Offei, S.K.; Prasanna, B.M.; Gowda, M. (MDPI, 2022)
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Author
Crossa, J. (19)Montesinos-Lopez, O.A. (13)Montesinos-López, A. (10)Prasanna, B.M. (10)Olsen, M. (8)Pérez-Rodríguez, P. (7)Zhang, Xuecai (7)Gowda, Manje (6)Juliana, P. (6)Singh, R.P. (6)... View More
Date Issued
2023 (1)2022 (7)2021 (12)2020 (8)2019 (5)2016 (1)2015 (2)
Type
Article (36)
Agrovoc
GENOMICS (17)MARKER-ASSISTED SELECTION (13)MAIZE (10)WHEAT (10)FORECASTING (7)PLANT BREEDING (7)BAYESIAN THEORY (6)DATA (4)GENOMES (4)GENOTYPE ENVIRONMENT INTERACTION (4)... View More
Keywords
Genomic Prediction (36)
Genomic Selection (14)GenPred (9)Shared Data Resources (9)Genome-Wide Association Study (6)Genotyping by Sequencing (4)Deep Learning (3)GWAS (3)Association Mapping (2)Common Rust (2)... View More
Region
United Kingdom of Great Britain and Northern Ireland (1)


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