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Article

Genomic prediction with genotype by environment interaction analysis for kernel zinc concentration in tropical maize germplasm

Mageto, E.K.; Crossa, J.; Perez-Rodriguez, P.; Dhliwayo, T.; Palacios-Rojas, N.; Lee, M.; Rui Guo; San Vicente, F.M.; Zhang, X.; Hindu, V. (Genetics Society of America, 2020)

Article

Genomic prediction enhanced sparse testing for multi-environment trials

Jarquín, D.; Howard, R.; Crossa, J.; Beyene, Y.; Gowda, M.; Martini, J.W.R.; Covarrubias, E.; Burgueño, J.; Pacheco Gil, R. A.; Grondona, M.; Wimmer, V.; Prasanna, B.M. (Genetics Society of America, 2020)

Article

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)

Article

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)

Article

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)

Article

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)

Article

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

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

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

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 prediction with genotype by environment interaction analysis for kernel zinc concentration in tropical maize germplasm

Genomic prediction enhanced sparse testing for multi-environment trials

Maximum a posteriori Threshold Genomic Prediction model for ordinal traits

A multivariate Poisson deep learning model for genomic prediction of count data

A zero altered Poisson random forest model for genomic-enabled prediction

Origin specific genomic selection: a simple process to optimize the favorable contribution of parents to progeny

A bayesian poisson-lognormal model for count data for multiple-trait multiple-environment genomic-enabled prediction

Increased prediction accuracy in wheat breeding trials using a marker x environment interaction Genomic Selection model

A genomic selection index applied to simulated and real data

Genomic prediction in maize breeding populations with genotyping-by sequencing

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Genomic prediction with genotype by environment interaction analysis for kernel zinc concentration in tropical maize germplasm

Genomic prediction enhanced sparse testing for multi-environment trials

Maximum a posteriori Threshold Genomic Prediction model for ordinal traits

A multivariate Poisson deep learning model for genomic prediction of count data

A zero altered Poisson random forest model for genomic-enabled prediction

Origin specific genomic selection: a simple process to optimize the favorable contribution of parents to progeny

A bayesian poisson-lognormal model for count data for multiple-trait multiple-environment genomic-enabled prediction

Increased prediction accuracy in wheat breeding trials using a marker x environment interaction Genomic Selection model

A genomic selection index applied to simulated and real data

Genomic prediction in maize breeding populations with genotyping-by sequencing