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An R Package for Bayesian analysis of multi-environment and multi-trait multi-environment data for genome-based prediction
(Genetics Society of America, 2019)
Robust Automatic Speech Recognition Employing Phoneme-Dependent Multi-Environment Enhanced Models based Linear Normalization-Edición Única
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2015)
A genomic bayesian multi-trait and multi-environment model
(Genetics Society of America, 2017)
Effect of missing values on variance component estimates in multienvironment trials
(Crop Science Society of America, 2019-03)
Multienvironment trials (METs) are conducted to evaluate cultivars across locations and years with often incomplete data structure due to annual cultivar replacements. The imbalance could cause biased variance component ...
Validação cruzada com correção de autovalores e regressão isotônica nos modelos de efeitos principais aditivos e interação multiplicativa
(Universidade Federal de Santa Maria (UFSM), 2009-07-01)
This paper presents an application of AMMI models - Additive Main effects and Multiplicative Interaction model - for a thorough study about the effect of the interaction between genotype and environment in multi-environments ...
Validação cruzada com correção de autovalores e regressão isotônica nos modelos de efeitos principais aditivos e interação multiplicativa
(Universidade Federal de Santa Maria (UFSM), 2009-07-01)
This paper presents an application of AMMI models - Additive Main effects and Multiplicative Interaction model - for a thorough study about the effect of the interaction between genotype and environment in multi-environments ...
Bayesian approach, traditional method, and mixed models for multienvironment trials of soybean
(Empresa Brasil Pesq Agropec, 2018-10-01)
The objective of this work was to compare the Bayesian approach and the frequentist methods to estimate means and genetic parameters in soybean multienvironment trials. Fifty-one soybean lines and four controls were evaluated ...
Bayesian Genomic Prediction with Genotype x Environment Interaction Kernel Models
(Genetics Society of America, 2017)