Buscar

Mostrando ítems 1-10 de 65

Bayesian regularized quantile regression: a robust alternative for genome-based prediction of skewed data

Perez-Rodriguez, P.; Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Crossa, J. (Elsevier, 2020)

BGGE: a new package for genomic-enabled prediction incorporating genotype × environment interaction models

Granato, I.; Cuevas, J.; Luna-Vazquez, F.J.; Crossa, J.; Montesinos-Lopez, O.A.; Burgueño, J.; Fritsche-Neto, R. (Genetics Society of America, 2018)

Genome-based prediction of Bayesian linear and non-linear regression models for ordinal data

Perez-Rodriguez, P.; Flores-Galarza, S.; Vaquera-Huerta, H.; Valle-Paniagua, D.H. del; Montesinos-Lopez, O.A.; Crossa, J. (Crop Science Society of America, 2020)

Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat

Pérez-Rodríguez, P.; Gianola, D.; González-Camacho, J.M.; Crossa, J.; Manes, Y.; Dreisigacker, S. (Genetics Society of Americahttp://www.g3journal.org/content/2/12/1595.full, 2013)

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, 2013)

Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods in Nelore cattle

Universidade Estadual Paulista (Unesp); Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA); University of Wisconsin-Madison; Universidade Federal de Goiás (UFG); National Association of Breeders and Researchers (2021-01-01)

Several methods have been used for genome-enabled prediction (or genomic selection) of complex traits, for example, multiple regression models describing a target trait with a linear function of a set of genetic markers. ...

1
2
3
4
. . .
7

Buscar

Bayesian regularized quantile regression: a robust alternative for genome-based prediction of skewed data

BGGE: a new package for genomic-enabled prediction incorporating genotype × environment interaction models

Genome-based prediction of Bayesian linear and non-linear regression models for ordinal data

Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat

Genomic-enabled prediction based on molecular markers and pedigree using the Bayesian linear regression package in R

Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods in Nelore cattle

Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks

Partial least squares enhances genomic prediction of new environments

Linear, generalized, hierarchical, bayesian and random regression mixed models in genetics/genomics in plant breeding.

Comparison of methods for predicting genomic breeding values for growth traits in Nellore cattle

Buscar

Filtros

Bayesian regularized quantile regression: a robust alternative for genome-based prediction of skewed data

BGGE: a new package for genomic-enabled prediction incorporating genotype × environment interaction models

Genome-based prediction of Bayesian linear and non-linear regression models for ordinal data

Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat

Genomic-enabled prediction based on molecular markers and pedigree using the Bayesian linear regression package in R

Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods in Nelore cattle

Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks

Partial least squares enhances genomic prediction of new environments

Linear, generalized, hierarchical, bayesian and random regression mixed models in genetics/genomics in plant breeding.

Comparison of methods for predicting genomic breeding values for growth traits in Nellore cattle