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Application of multi-trait Bayesian decision theory for parental genomic selection

Villar-Hernandez, B.d.J.; Perez-Elizalde, S.; Martini, J.W.R.; Toledo, F.H.; Perez-Rodriguez, P.; Krause, M.; García-Calvillo, I.D.; Covarrubias-Pazaran, G.; Crossa, J. (Genetics Society of America, 2021)

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)

Genetic parameter estimation for pre- and post-weaning traits in Brahman cattle in Brazil

Universidade Estadual Paulista (Unesp); ANCP; Univ Guelph (Springer, 2014-10-01)

Beef cattle producers in Brazil use body weight traits as breeding program selection criteria due to their great economic importance. The objectives of this study were to evaluate different animal models, estimate genetic ...

Multi-trait Multi-environment Quantitative Trait Loci Mapping For A Sugarcane Commercial Cross Provides Insights On The Inheritance Of Important Traits.

Margarido, G R A; Pastina, M M; Souza, A P; Garcia, A A F ()

A genomic bayesian multi-trait and multi-environment model

Montesinos-Lopez, O.A.; Montesinos-López, A.; Toledo, F.H.; Pérez-Hernández, O.; Eskridge, K.; Rutkoski, J.; Crossa, J. (Genetics Society of America, 2017)

Multi-trait genome prediction of new environments with partial least squares

Montesinos-Lopez, O.A.; Montesinos-López, A.; Bernal Sandoval, D.A.; Mosqueda-Gonzalez, B.A.; Valenzo-Jiménez, M.A.; Crossa, J. (Frontiers, 2022)

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)

Genome-wide association and optimization of prediction accuracies on genomic selection models for Eucalyptus grandis W. Hill

Tambarussi, Evandro Vagner; Jamarillo, Juan Jose Acosta; Fritsche-Neto, Roberto; Benatti, Thiago Romanos; Universidade Estadual Paulista (Unesp) (Universidade Estadual Paulista (Unesp), 2022-03-29)

Molecular markers that are widely distributed throughout the genome offer a fundamental tool to optimize forest tree breeding programs. This study aimed to evaluate the genetic architecture of quantitative genes and optimize ...

Genetic analysis of morphological and functional traits in Campolina horses using Bayesian multi-trait model

Universidade de São Paulo (USP); Beef Improvement Opportunities (BIO); University of Guelph; Universidade Federal de Viçosa (UFV); Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA); Universidade Estadual Paulista (Unesp) (2018-10-01)

In general, is said that functional traits have a positive genetic correlation with conformation in horses but, this hypothesis has never been investigated in the Brazilian Campolina breed. We aimed to estimate genetic ...

Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical maize

Gevartosky, R.; Fanelli Carvalho, H.; Costa-Neto, G.; Montesinos-Lopez, O.A.; Crossa, J.; Fritsche-Neto, R. (BioMed Central, 2023)

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