Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins

Currently, the USDA uses a single-trait (ST) model with several intermediate steps to obtain genomic evaluations for US Holsteins. In this study, genomic evaluations for 18 linear type traits were obtained with a multiple-trait (MT) model using a unified single-step procedure. The phenotypic type da...

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Veröffentlicht in:Journal of dairy science 2011-08, Vol.94 (8), p.4198-4204
Hauptverfasser: Tsuruta, S., Misztal, I., Aguilar, I., Lawlor, T.J.
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Misztal, I.
Aguilar, I.
Lawlor, T.J.
description Currently, the USDA uses a single-trait (ST) model with several intermediate steps to obtain genomic evaluations for US Holsteins. In this study, genomic evaluations for 18 linear type traits were obtained with a multiple-trait (MT) model using a unified single-step procedure. The phenotypic type data on up to 18 traits were available for 4,813,726 Holsteins, and single nucleotide polymorphism markers from the Illumina BovineSNP50 genotyping Beadchip (Illumina Inc., San Diego, CA) were available on 17,293 bulls. Genomic predictions were computed with several genomic relationship matrices (G) that assumed different allele frequencies: equal, base, current, and current scaled. Computations were carried out with ST and MT models. Procedures were compared by coefficients of determination (R2) and regression of 2004 prediction of bulls with no daughters in 2004 on daughter deviations of those bulls in 2009. Predictions for 2004 also included parent averages without the use of genomic information. The R2 for parent averages ranged from 10 to 34% for ST models and from 12 to 35% for MT models. The average R2 for all G were 34 and 37% for ST and MT models, respectively. All of the regression coefficients were
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In this study, genomic evaluations for 18 linear type traits were obtained with a multiple-trait (MT) model using a unified single-step procedure. The phenotypic type data on up to 18 traits were available for 4,813,726 Holsteins, and single nucleotide polymorphism markers from the Illumina BovineSNP50 genotyping Beadchip (Illumina Inc., San Diego, CA) were available on 17,293 bulls. Genomic predictions were computed with several genomic relationship matrices (G) that assumed different allele frequencies: equal, base, current, and current scaled. Computations were carried out with ST and MT models. Procedures were compared by coefficients of determination (R2) and regression of 2004 prediction of bulls with no daughters in 2004 on daughter deviations of those bulls in 2009. Predictions for 2004 also included parent averages without the use of genomic information. The R2 for parent averages ranged from 10 to 34% for ST models and from 12 to 35% for MT models. The average R2 for all G were 34 and 37% for ST and MT models, respectively. All of the regression coefficients were &lt;1.0, indicating that estimated breeding values in 2009 of 1,307 genotyped young bulls’ parents tended to be biased. The average regression coefficients ranged from 0.74 to 0.79 and from 0.75 to 0.80 for ST and MT models, respectively. When the weight for the inverse of the numerator relationship matrix (A−1) for genotyped animals was reduced from 1 to 0.7, R2 remained almost identical while the regression coefficients increased by 0.11–0.26 and 0.12–0.23 for ST and MT models, respectively. The ST models required about 5s per iteration, whereas MT models required 3 (6) min per iteration for the regular (genomic) model. The MT single-step approach is feasible for 18 linear type traits in US Holstein cattle. Accuracy for genomic evaluation increases when switching ST models to MT models. 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In this study, genomic evaluations for 18 linear type traits were obtained with a multiple-trait (MT) model using a unified single-step procedure. The phenotypic type data on up to 18 traits were available for 4,813,726 Holsteins, and single nucleotide polymorphism markers from the Illumina BovineSNP50 genotyping Beadchip (Illumina Inc., San Diego, CA) were available on 17,293 bulls. Genomic predictions were computed with several genomic relationship matrices (G) that assumed different allele frequencies: equal, base, current, and current scaled. Computations were carried out with ST and MT models. Procedures were compared by coefficients of determination (R2) and regression of 2004 prediction of bulls with no daughters in 2004 on daughter deviations of those bulls in 2009. Predictions for 2004 also included parent averages without the use of genomic information. The R2 for parent averages ranged from 10 to 34% for ST models and from 12 to 35% for MT models. The average R2 for all G were 34 and 37% for ST and MT models, respectively. All of the regression coefficients were &lt;1.0, indicating that estimated breeding values in 2009 of 1,307 genotyped young bulls’ parents tended to be biased. The average regression coefficients ranged from 0.74 to 0.79 and from 0.75 to 0.80 for ST and MT models, respectively. When the weight for the inverse of the numerator relationship matrix (A−1) for genotyped animals was reduced from 1 to 0.7, R2 remained almost identical while the regression coefficients increased by 0.11–0.26 and 0.12–0.23 for ST and MT models, respectively. The ST models required about 5s per iteration, whereas MT models required 3 (6) min per iteration for the regular (genomic) model. The MT single-step approach is feasible for 18 linear type traits in US Holstein cattle. Accuracy for genomic evaluation increases when switching ST models to MT models. 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In this study, genomic evaluations for 18 linear type traits were obtained with a multiple-trait (MT) model using a unified single-step procedure. The phenotypic type data on up to 18 traits were available for 4,813,726 Holsteins, and single nucleotide polymorphism markers from the Illumina BovineSNP50 genotyping Beadchip (Illumina Inc., San Diego, CA) were available on 17,293 bulls. Genomic predictions were computed with several genomic relationship matrices (G) that assumed different allele frequencies: equal, base, current, and current scaled. Computations were carried out with ST and MT models. Procedures were compared by coefficients of determination (R2) and regression of 2004 prediction of bulls with no daughters in 2004 on daughter deviations of those bulls in 2009. Predictions for 2004 also included parent averages without the use of genomic information. The R2 for parent averages ranged from 10 to 34% for ST models and from 12 to 35% for MT models. The average R2 for all G were 34 and 37% for ST and MT models, respectively. All of the regression coefficients were &lt;1.0, indicating that estimated breeding values in 2009 of 1,307 genotyped young bulls’ parents tended to be biased. The average regression coefficients ranged from 0.74 to 0.79 and from 0.75 to 0.80 for ST and MT models, respectively. When the weight for the inverse of the numerator relationship matrix (A−1) for genotyped animals was reduced from 1 to 0.7, R2 remained almost identical while the regression coefficients increased by 0.11–0.26 and 0.12–0.23 for ST and MT models, respectively. The ST models required about 5s per iteration, whereas MT models required 3 (6) min per iteration for the regular (genomic) model. The MT single-step approach is feasible for 18 linear type traits in US Holstein cattle. Accuracy for genomic evaluation increases when switching ST models to MT models. 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source MEDLINE; Access via ScienceDirect (Elsevier); EZB-FREE-00999 freely available EZB journals
subjects Animal productions
Animals
Biological and medical sciences
body conformation
Breeding - methods
breeding value
bulls
Cattle - genetics
daughters
Food industries
Fundamental and applied biological sciences. Psychology
gene frequency
Genetic Association Studies - veterinary
Genetic Variation - genetics
Genome - genetics
genomic evaluation
genomics
Genotype
genotyping
Holstein
inflation
linear type trait
Milk and cheese industries. Ice creams
Models, Genetic
parents
Phenotype
prediction
Quantitative Trait, Heritable
single nucleotide polymorphism
Terrestrial animal productions
United States
US Holstein
USDA
Vertebrates
title Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins
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