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Unraveling additive from nonadditive effects using genomic relationship matrices.

Unraveling additive from nonadditive effects using genomic relationship matrices.

http://www.wikidata.org/entity/Q34636321

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Genome-Enabled Estimates of Additive and Nonadditive Genetic Variances and Prediction of Apple Phenotypes Across Environments The contribution of dominance to phenotype prediction in a pine breeding and simulated population Estimation of Additive, Dominance, and Imprinting Genetic Variance Using Genomic Data Ridge, Lasso and Bayesian additive-dominance genomic models Inclusion of Dominance Effects in the Multivariate GBLUP Model PEPIS: A Pipeline for Estimating Epistatic Effects in Quantitative Trait Locus Mapping and Genome-Wide Association Studies.Genome-Assisted Prediction of Quantitative Traits Using the R Package sommer.Bayesian reversible-jump for epistasis analysis in genomic studies.Differential contribution of genomic regions to marked genetic variation and prediction of quantitative traits in broiler chickens.Modeling additive and non-additive effects in a hybrid population using genome-wide genotyping: prediction accuracy implications.Genomic Selection in Multi-environment Crop Trials GenoMatrix: A Software Package for Pedigree-Based and Genomic Prediction Analyses on Complex Traits.Multikernel linear mixed models for complex phenotype prediction.Marker-Based Estimates Reveal Significant Non-additive Effects in Clonally Propagated Cassava (Manihot esculenta): Implications for the Prediction of Total Genetic Value and the Selection of Varieties.Evaluation of non-additive genetic variation in feed-related traits of broiler chickens.Detecting epistasis with the marginal epistasis test in genetic mapping studies of quantitative traits.Genomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus.Implementation of the Realized Genomic Relationship Matrix to Open-Pollinated White Spruce Family Testing for Disentangling Additive from Nonadditive Genetic Effects.Orthogonal Estimates of Variances for Additive, Dominance, and Epistatic Effects in Populations.Epistasis and covariance: how gene interaction translates into genomic relationship.Modeling Epistasis in Genomic Selection.Integrating Nonadditive Genomic Relationship Matrices into the Study of Genetic Architecture of Complex Traits.Exploration of genetic architecture through sib-ship reconstruction in advanced breeding population of Eucalyptus nitens.Assessing the expected response to genomic selection of individuals and families in Eucalyptus breeding with an additive-dominant model.Genomic estimation of additive and dominance effects and impact of accounting for dominance on accuracy of genomic evaluation in sheep populations.Maternal, dominance and additive genetic effects in Nile tilapia; influence on growth, fillet yield and body size traits.Multienvironment genomic variance decomposition analysis of open-pollinated Interior spruce (Picea glauca x engelmannii).Genetic Variance Partitioning and Genome-Wide Prediction with Allele Dosage Information in Autotetraploid Potato.Accounting for Genotype-by-Environment Interactions and Residual Genetic Variation in Genomic Selection for Water-Soluble Carbohydrate Concentration in Wheat.Prospects and Potential Uses of Genomic Prediction of Key Performance Traits in Tetraploid Potato.Haplotype-Based Genome-Wide Prediction Models Exploit Local Epistatic Interactions Among Markers.Genomic heritability estimates in sweet cherry reveal non-additive genetic variance is relevant for industry-prioritized traits.Effect of Hidden Relatedness on Single-Step Genetic Evaluation in an Advanced Open-Pollinated Breeding Program Improving accuracy of breeding values by incorporating genomic information in spatial-competition mixed models Multivariate GBLUP Improves Accuracy of Genomic Selection for Yield and Fruit Weight in Biparental Populations of Ait

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Unraveling additive from nonadditive effects using genomic relationship matrices.

http://www.wikidata.org/entity/Q34636321

description

2014 nî lūn-bûn

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2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի հոտեմբերին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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name

Unraveling additive from nonadditive effects using genomic relationship matrices.

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Unraveling additive from nonadditive effects using genomic relationship matrices.

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Unraveling additive from nonadditive effects using genomic relationship matrices.

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type

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Unraveling additive from nonadditive effects using genomic relationship matrices.

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Unraveling additive from nonadditive effects using genomic relationship matrices.

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Unraveling additive from nonadditive effects using genomic relationship matrices.

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prefLabel

Unraveling additive from nonadditive effects using genomic relationship matrices.

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Unraveling additive from nonadditive effects using genomic relationship matrices.

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Unraveling additive from nonadditive effects using genomic relationship matrices.

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GENETICS.114.171322

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Unraveling additive from nonadditive effects using genomic relationship matrices.

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P2093

Dudley Huber

http://www.w3.org/2001/XMLSchema#string

Gary F Peter

http://www.w3.org/2001/XMLSchema#string

Gustavo de Los Campos

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Marcio F R Resende

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Marcos Deon Vilela Resende

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Matias Kirst

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Patricio R Muñoz

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Salvador A Gezan

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P2860

Data and theory point to mainly additive genetic variance for complex traits

The mystery of missing heritability: Genetic interactions create phantom heritability

Common SNPs explain a large proportion of the heritability for human height

The impact of genetic relationship information on genomic breeding values in German Holstein cattle

Understanding and using quantitative genetic variation

Patterns of population structure and environmental associations to aridity across the range of loblolly pine (Pinus taeda L., Pinaceae).

Accuracy of genomic selection methods in a standard data set of loblolly pine (Pinus taeda L.).

Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers.

Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers

Variation in actual relationship as a consequence of Mendelian sampling and linkage

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1759-1768

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scholarly article

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10.1534/GENETICS.114.171322

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4

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198

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2014-10-15T00:00:00Z

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267756189

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25324160

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4256785

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