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Genome-wide association analysis and accuracy of genome-enabled breeding value predictions for resistance to infectious hematopoietic necrosis virus in a commercial rainbow trout breeding population
Genome-wide association analysis and accuracy of genome-enabled breeding value predictions for resistance to infectious hematopoietic necrosis virus in a commercial rainbow trout breeding population
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Genome-wide association analysis and accuracy of genome-enabled breeding value predictions for resistance to infectious hematopoietic necrosis virus in a commercial rainbow trout breeding population

Vallejo, Roger L ; Cheng, Hao ; Fragomeni, Breno O ; Shewbridge, Kristy L ; Gao, Guangtu ; MacMillan, John R ; Towner, Richard ; Palti, Yniv

Genetics selection evolution (Paris), 2019-08, Vol.51 (1), p.47-47, Article 47 [Peer Reviewed Journal]

France: BioMed Central Ltd

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2
Breeding value prediction for production traits in layer chickens using pedigree or genomic relationships in a reduced animal model
Breeding value prediction for production traits in layer chickens using pedigree or genomic relationships in a reduced animal model
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Breeding value prediction for production traits in layer chickens using pedigree or genomic relationships in a reduced animal model

Wolc, Anna ; Stricker, Chris ; Arango, Jesus ; Settar, Petek ; Fulton, Janet E ; O'Sullivan, Neil P ; Preisinger, Rudolf ; Habier, David ; Fernando, Rohan ; Garrick, Dorian J ; Lamont, Susan J ; Dekkers, Jack C M

Genetics selection evolution (Paris), 2011-01, Vol.43 (1), p.5-5, Article 5 [Peer Reviewed Journal]

France: BioMed Central Ltd

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3
Accuracies of genomic breeding values in American Angus beef cattle using K-means clustering for cross-validation
Accuracies of genomic breeding values in American Angus beef cattle using K-means clustering for cross-validation
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Accuracies of genomic breeding values in American Angus beef cattle using K-means clustering for cross-validation

Saatchi, Mahdi ; McClure, Mathew C ; McKay, Stephanie D ; Rolf, Megan M ; Kim, JaeWoo ; Decker, Jared E ; Taxis, Tasia M ; Chapple, Richard H ; Ramey, Holly R ; Northcutt, Sally L ; Bauck, Stewart ; Woodward, Brent ; Dekkers, Jack C M ; Fernando, Rohan L ; Schnabel, Robert D ; Garrick, Dorian J ; Taylor, Jeremy F

Genetics selection evolution (Paris), 2011-11, Vol.43 (1), p.40-40, Article 40 [Peer Reviewed Journal]

France: BioMed Central Ltd

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4
Joint genomic evaluation of French dairy cattle breeds using multiple-trait models
Joint genomic evaluation of French dairy cattle breeds using multiple-trait models
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Joint genomic evaluation of French dairy cattle breeds using multiple-trait models

Karoui, Sofiene ; Carabaño, María Jesús ; Díaz, Clara ; Legarra, Andrés

Genetics selection evolution (Paris), 2012-12, Vol.44 (1), p.39-39, Article 39 [Peer Reviewed Journal]

France: BioMed Central Ltd

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5
Genome-wide association and genomic prediction of resistance to viral nervous necrosis in European sea bass (Dicentrarchus labrax) using RAD sequencing
Genome-wide association and genomic prediction of resistance to viral nervous necrosis in European sea bass (Dicentrarchus labrax) using RAD sequencing
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Genome-wide association and genomic prediction of resistance to viral nervous necrosis in European sea bass (Dicentrarchus labrax) using RAD sequencing

Palaiokostas, Christos ; Cariou, Sophie ; Bestin, Anastasia ; Bruant, Jean-Sebastien ; Haffray, Pierrick ; Morin, Thierry ; Cabon, Joëlle ; Allal, François ; Vandeputte, Marc ; Houston, Ross D

Genetics selection evolution (Paris), 2018-06, Vol.50 (1), p.30-11, Article 30 [Peer Reviewed Journal]

France: BioMed Central Ltd

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6
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
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
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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

Clark, Samuel A ; Hickey, John M ; Daetwyler, Hans D ; van der Werf, Julius HJ

Genetics selection evolution (Paris), 2012-02, Vol.44 (1), p.4-4, Article 4 [Peer Reviewed Journal]

France: Springer-Verlag

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7
Accuracy of multi-trait genomic selection using different methods
Accuracy of multi-trait genomic selection using different methods
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Accuracy of multi-trait genomic selection using different methods

Calus, Mario P L ; Veerkamp, Roel F

Genetics selection evolution (Paris), 2011-07, Vol.43 (1), p.26-26, Article 26 [Peer Reviewed Journal]

France: BioMed Central Ltd

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8
Accuracy of direct genomic values in Holstein bulls and cows using subsets of SNP markers
Accuracy of direct genomic values in Holstein bulls and cows using subsets of SNP markers
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Accuracy of direct genomic values in Holstein bulls and cows using subsets of SNP markers

Moser, Gerhard ; Khatkar, Mehar S ; Hayes, Ben J ; Raadsma, Herman W

Genetics selection evolution (Paris), 2010-10, Vol.42 (1), p.37-37, Article 37 [Peer Reviewed Journal]

France: Springer-Verlag

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9
Predicting the accuracy of genomic predictions
Predicting the accuracy of genomic predictions
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Predicting the accuracy of genomic predictions

Dekkers, Jack C. M ; Su, Hailin ; Cheng, Jian

Genetics selection evolution (Paris), 2021-06, Vol.53 (1), p.1-55, Article 55 [Peer Reviewed Journal]

London: BioMed Central Ltd

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10
A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers
A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers
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A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers

Moser, Gerhard ; Tier, Bruce ; Crump, Ron E ; Khatkar, Mehar S ; Raadsma, Herman W

Genetics selection evolution (Paris), 2009-12, Vol.41 (1), p.56-56, Article 56 [Peer Reviewed Journal]

France: BioMed Central Ltd

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