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

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

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

http://www.wikidata.org/entity/Q34428649

about

Quantitative genetics model as the unifying model for defining genomic relationship and inbreeding coefficient 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 Genomic prediction of crossbred performance based on purebred Landrace and Yorkshire data using a dominance model.Multi-population genomic prediction using a multi-task Bayesian learning model.Dissection of additive, dominance, and imprinting effects for production and reproduction traits in Holstein cattle.Marker-based estimation of genetic parameters in genomics.Improvement of prediction ability for genomic selection of dairy cattle by including dominance effects GVCBLUP: a computer package for genomic prediction and variance component estimation of additive and dominance effects Genomic relationships based on X chromosome markers and accuracy of genomic predictions with and without X chromosome markers.A genome-wide association study reveals dominance effects on number of teats in pigs.Accuracy of genomic prediction for growth and carcass traits in Chinese triple-yellow chickens Genomic analysis of dominance effects on milk production and conformation traits in Fleckvieh cattle.Unraveling additive from nonadditive effects using genomic relationship matrices.Empirical and deterministic accuracies of across-population genomic prediction.Non-additive genetic variation in growth, carcass and fertility traits of beef cattle.A robust GWSS method to simultaneously detect rare and common variants for complex disease.High order gene-gene interactions in eight single nucleotide polymorphisms of renin-angiotensin system genes for hypertension association study.Ridge, Lasso and Bayesian additive-dominance genomic models Long-term genomic selection for heterosis without dominance in multiplicative traits: case study of bunch production in oil palm.Sharing reference data and including cows in the reference population improve genomic predictions in Danish Jersey.Genome-Assisted Prediction of Quantitative Traits Using the R Package sommer.Bayesian reversible-jump for epistasis analysis in genomic studies.Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE).Assessment of the genomic prediction accuracy for feed efficiency traits in meat-type chickens.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.GenoMatrix: A Software Package for Pedigree-Based and Genomic Prediction Analyses on Complex Traits.Multikernel linear mixed models for complex phenotype prediction.Genomic prediction using models with dominance and imprinting effects for backfat thickness and average daily gain in Danish Duroc pigs.On the additive and dominant variance and covariance of individuals within the genomic selection scope.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.Genomic evaluation by including dominance effects and inbreeding depression for purebred and crossbred performance with an application in pigs.Including dominance effects in the genomic BLUP method for genomic evaluation.A whole genome association study to detect additive and dominant single nucleotide polymorphisms for growth and carcass traits in Korean native cattle, Hanwoo Comparing GWAS Results of Complex Traits Using Full Genetic Model and Additive Models for Revealing Genetic Architecture.Kernel-based variance component estimation and whole-genome prediction of pre-corrected phenotypes and progeny tests for dairy cow health traits.Kernel-based whole-genome prediction of complex traits: a review Evaluation of non-additive genetic variation in feed-related traits of broiler chickens.

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

http://www.wikidata.org/entity/Q34428649

description

2012 nî lūn-bûn

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2012 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի սեպտեմբերին հրատարակված գիտական հոդված

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2012年の論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年论文

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name

Estimating additive and non-ad ...... ucleotide polymorphism markers

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Estimating additive and non-ad ...... ucleotide polymorphism markers

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Estimating additive and non-ad ...... ucleotide polymorphism markers

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type

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Estimating additive and non-ad ...... ucleotide polymorphism markers

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Estimating additive and non-ad ...... ucleotide polymorphism markers

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Estimating additive and non-ad ...... ucleotide polymorphism markers

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prefLabel

Estimating additive and non-ad ...... ucleotide polymorphism markers

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Estimating additive and non-ad ...... ucleotide polymorphism markers

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Estimating additive and non-ad ...... ucleotide polymorphism markers

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Estimating additive and non-ad ...... ucleotide polymorphism markers

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Guosheng Su

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Mark Henryon

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Ole F Christensen

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Tage Ostersen

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P2860

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

Prediction of total genetic value using genome-wide dense marker maps

Comparison of analyses of the QTLMAS XII common dataset. I: Genomic selection.

Genome wide association studies for milk production traits in Chinese Holstein population.

International genomic evaluation methods for dairy cattle

Replication and explorations of high-order epistasis using a large advanced intercross line pedigree

Local genealogies in a linear mixed model for genome-wide association mapping in complex pedigreed populations.

A commentary on 'common SNPs explain a large proportion of the heritability for human height' by Yang et al. (2010).

A genome-wide association study identifies two novel promising candidate genes affecting Escherichia coli F4ab/F4ac susceptibility in swine.

Epistatic QTL pairs associated with meat quality and carcass composition traits in a porcine Duroc × Pietrain population.

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Mogens Sandø Lund

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231815256

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23028912

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single-nucleotide polymorphism

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3441703

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