Impact of relationships between test and training animals and among training animals on reliability of genomic prediction (Q40902666)

24 September 2017

title

Impact of relationships between test and training animals and among training animals on reliability of genomic prediction (English)

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24 September 2017

M S Lund

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24 September 2017

X Wu

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24 September 2017

D Sun

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24 September 2017

Q Zhang

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24 September 2017

G Su

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24 September 2017

publication date

23 May 2015

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Journal of Animal Breeding and Genetics

24 September 2017

published in

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24 September 2017

volume

132

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24 September 2017

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24 September 2017

page(s)

366-375

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The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock breeding schemes

24 September 2017

cites work

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Distribution and location of genetic effects for dairy traits.

21 January 2018

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The impact of genetic architecture on genome-wide evaluation methods

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Prediction of complex human traits using the genomic best linear unbiased predictor

21 January 2018

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Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels

21 January 2018

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Weighting factors of sire daughter information in international genetic evaluations.

21 January 2018

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Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population

21 January 2018

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Model comparison on genomic predictions using high-density markers for different groups of bulls in the Nordic Holstein population

21 January 2018

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Genomic selection: prediction of accuracy and maximisation of long term response

21 January 2018

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Mapping genes for complex traits in domestic animals and their use in breeding programmes

21 January 2018

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

21 January 2018

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Increased accuracy of artificial selection by using the realized relationship matrix.

21 January 2018

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A common reference population from four European Holstein populations increases reliability of genomic predictions.

21 January 2018

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A fast algorithm for BayesB type of prediction of genome-wide estimates of genetic value

21 January 2018

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Accuracy of genomic predictions in Bos indicus (Nellore) cattle

21 January 2018

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Differences among methods to validate genomic evaluations for dairy cattle

21 January 2018

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Tests for comparing elements of a correlation matrix

21 January 2018

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Comparison of genomic predictions using medium-density (∼54,000) and high-density (∼777,000) single nucleotide polymorphism marker panels in Nordic Holstein and Red Dairy Cattle populations

21 January 2018

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Comparison of genomic predictions using genomic relationship matrices built with different weighting factors to account for locus-specific variances

21 January 2018

1 reference

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

21 January 2018

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Genomic prediction for Nordic Red Cattle using one-step and selection index blending.

21 January 2018

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Efficient methods to compute genomic predictions

21 January 2018

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21 January 2018

Identifiers

DOI

10.1111/JBG.12165

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24 September 2017

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