相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。On the approximation of interaction effect models by Hadamard powers of the additive genomic relationship
Johannes W. R. Martini et al.
THEORETICAL POPULATION BIOLOGY (2020)
Mega-Environmental Design: Using Genotype x Environment Interaction to Optimize Resources for Cultivar Testing
Pablo Gonzalez-Barrios et al.
CROP SCIENCE (2019)
Hybrid Wheat Prediction Using Genomic, Pedigree, and Environmental Covariables Interaction Models
Bhoja Raj Basnet et al.
PLANT GENOME (2019)
Non-additive Effects in Genomic Selection
Luis Varona et al.
FRONTIERS IN GENETICS (2018)
Genomic Prediction with Pedigree and Genotype x Environment Interaction in Spring Wheat Grown in South and West Asia, North Africa, and Mexico
Sivakumar Sukumaran et al.
G3-GENES GENOMES GENETICS (2017)
Orthogonal Estimates of Variances for Additive, Dominance, and Epistatic Effects in Populations
Zulma G. Vitezica et al.
GENETICS (2017)
Use of genotype x environment interaction model to accommodate genetic heterogeneity for residual feed intake, dry matter intake, net energy in milk, and metabolic body weight in dairy cattle
C. Yao et al.
JOURNAL OF DAIRY SCIENCE (2017)
Genomic models with genotype x environment interaction for predicting hybrid performance: an application in maize hybrids
Rocio Acosta-Pech et al.
THEORETICAL AND APPLIED GENETICS (2017)
Genomic Selection in Plant Breeding: Methods, Models, and Perspectives
Jose Crossa et al.
TRENDS IN PLANT SCIENCE (2017)
Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype x Environment Interaction
Massaine Bandeira e Sousa et al.
G3-GENES GENOMES GENETICS (2017)
Single-Step Genomic and Pedigree Genotype x Environment Interaction Models for Predicting Wheat Lines in International Environments
Paulino Perez-Rodriguez et al.
PLANT GENOME (2017)
Orthogonal Estimates of Variances for Additive, Dominance, and Epistatic Effects in Populations
Zulma G. Vitezica et al.
GENETICS (2017)
Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE)
Johannes W. R. Martini et al.
BMC BIOINFORMATICS (2017)
Bayesian Genomic Prediction with Genotype x Environment Interaction Kernel Models
Jaime Cuevas et al.
G3-GENES GENOMES GENETICS (2017)
Epistasis and covariance: how gene interaction translates into genomic relationship
Johannes W. R. Martini et al.
THEORETICAL AND APPLIED GENETICS (2016)
Genomic Prediction of Genotype x Environment Interaction Kernel Regression Models
Jaime Cuevas et al.
PLANT GENOME (2016)
A Pedigree-Based Reaction Norm Model for Prediction of Cotton Yield in Multienvironment Trials
Paulino Perez-Rodriguez et al.
CROP SCIENCE (2015)
Modeling Epistasis in Genomic Selection
Yong Jiang et al.
GENETICS (2015)
Fitting Linear Mixed-Effects Models Using lme4
Douglas Bates et al.
JOURNAL OF STATISTICAL SOFTWARE (2015)
Increased Prediction Accuracy in Wheat Breeding Trials Using a Marker x Environment Interaction Genomic Selection Model
Marco Lopez-Cruz et al.
G3-GENES GENOMES GENETICS (2015)
Modeling Epistasis in Genomic Selection
Yong Jiang et al.
GENETICS (2015)
Genome-Wide Regression and Prediction with the BGLR Statistical Package
Paulino Perez et al.
GENETICS (2014)
A reaction norm model for genomic selection using high-dimensional genomic and environmental data
Diego Jarquin et al.
THEORETICAL AND APPLIED GENETICS (2014)
Genomic Prediction of Breeding Values when Modeling Genotype x Environment Interaction using Pedigree and Dense Molecular Markers
Juan Burgueno et al.
CROP SCIENCE (2012)
Predicting Genetic Values: A Kernel-Based Best Linear Unbiased Prediction With Genomic Data
Ulrike Ober et al.
GENETICS (2011)
Genomic Selection and Prediction in Plant Breeding
Jose Crossa et al.
JOURNAL OF CROP IMPROVEMENT (2011)
Genomic selection in plant breeding: from theory to practice
Jean-Luc Jannink et al.
BRIEFINGS IN FUNCTIONAL GENOMICS (2010)
Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers
Jose Crossa et al.
GENETICS (2010)
Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods
Gustavo de los Campos et al.
GENETICS RESEARCH (2010)
Reproducing kernel Hilbert spaces regression: A general framework for genetic evaluation
G. de los Campos et al.
JOURNAL OF ANIMAL SCIENCE (2009)
Generalized matrix inversion is not harder than matrix multiplication
Marko D. Petkovic et al.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS (2009)
Invited review: Genomic selection in dairy cattle: Progress and challenges
B. J. Hayes et al.
JOURNAL OF DAIRY SCIENCE (2009)
Tensor Decompositions and Applications
Tamara G. Kolda et al.
SIAM REVIEW (2009)
Efficient Methods to Compute Genomic Predictions
P. M. VanRaden
JOURNAL OF DAIRY SCIENCE (2008)
Modeling additive x environment and additive x additive x environment using genetic covariances of relatives of wheat genotypes
Juan Burgueno et al.
CROP SCIENCE (2007)
Modeling genotype x environment interaction using additive genetic covariances of relatives for predicting breeding values of wheat genotypes
Jose Crossa et al.
CROP SCIENCE (2006)
A quantitative version of the observation that the Hadamard product is a principal submatrix of the Kronecker product
G Visick
LINEAR ALGEBRA AND ITS APPLICATIONS (2000)