Mixed model methods for genomic prediction and variance component estimation of additive and dominance effects using SNP markers.
about
Quantitative genetics model as the unifying model for defining genomic relationship and inbreeding coefficientEstimation of Additive, Dominance, and Imprinting Genetic Variance Using Genomic DataGenomic heritability estimation for the early life-history transition related to propensity to migrate in wild rainbow and steelhead trout populationsDissection of additive, dominance, and imprinting effects for production and reproduction traits in Holstein cattle.Improvement of prediction ability for genomic selection of dairy cattle by including dominance effectsGVCBLUP: a computer package for genomic prediction and variance component estimation of additive and dominance effectsRidge, Lasso and Bayesian additive-dominance genomic modelsMulti-allelic haplotype model based on genetic partition for genomic prediction and variance component estimation using SNP markersInclusion of Dominance Effects in the Multivariate GBLUP ModelGenomic Inbreeding and Relatedness in Wild Panda Populations.Genetic and Environmental Contributions to Facial Morphological Variation: A 3D Population-Based Twin Study.The genetic regulatory network centered on Pto-Wuschela and its targets involved in wood formation revealed by association studiesAccounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits.Genomic Selection in Multi-environment Crop TrialsMultikernel linear mixed models for complex phenotype prediction.Genome-wide association study and accuracy of genomic prediction for teat number in Duroc pigs using genotyping-by-sequencing.Kernel-based whole-genome prediction of complex traits: a reviewImpact of fitting dominance and additive effects on accuracy of genomic prediction of breeding values in layers.Variational bayesian method of estimating variance components.Incomplete dominance of deleterious alleles contributes substantially to trait variation and heterosis in maize.Genomic estimation of additive and dominance effects and impact of accounting for dominance on accuracy of genomic evaluation in sheep populations.Predicting rice hybrid performance using univariate and multivariate GBLUP models based on North Carolina mating design II.Accounting for Genotype-by-Environment Interactions and Residual Genetic Variation in Genomic Selection for Water-Soluble Carbohydrate Concentration in Wheat.Non-additive Effects in Genomic Selection.Genome-Wide Expression Quantitative Trait Loci Analysis Using Mixed ModelsQuantifying genomic connectedness and prediction accuracy from additive and non-additive gene actions
P2860
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P2860
Mixed model methods for genomic prediction and variance component estimation of additive and dominance effects using SNP markers.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Mixed model methods for genomi ...... nce effects using SNP markers.
@en
type
label
Mixed model methods for genomi ...... nce effects using SNP markers.
@en
prefLabel
Mixed model methods for genomi ...... nce effects using SNP markers.
@en
P2093
P2860
P1433
P1476
Mixed model methods for genomi ...... nce effects using SNP markers.
@en
P2093
P2860
P304
P356
10.1371/JOURNAL.PONE.0087666
P407
P577
2014-01-30T00:00:00Z