Variance component and breeding value estimation for genetic heterogeneity of residual variance in Swedish Holstein dairy cattle

L. Rönnegård, M. Felleki, W.F. Fikse, H.A. Mulder, E. Strandberg

Research output: Contribution to journalArticleAcademicpeer-review

23 Citations (Scopus)

Abstract

Trait uniformity, or micro-environmental sensitivity, may be studied through individual differences in residual variance. These differences appear to be heritable, and the need exists, therefore, to fit models to predict breeding values explaining differences in residual variance. The aim of this paper is to estimate breeding values for micro-environmental sensitivity (vEBV) in milk yield and somatic cell score, and their associated variance components, on a large dairy cattle data set having more than 1.6 million records. Estimation of variance components, ordinary breeding values, and vEBV was performed using standard variance component estimation software (ASReml), applying the methodology for double hierarchical generalized linear models. Estimation using ASReml took less than 7 d on a Linux server. The genetic standard deviations for residual variance were 0.21 and 0.22 for somatic cell score and milk yield, respectively, which indicate moderate genetic variance for residual variance and imply that a standard deviation change in vEBV for one of these traits would alter the residual variance by 20%. This study shows that estimation of variance components, estimated breeding values and vEBV, is feasible for large dairy cattle data sets using standard variance component estimation software. The possibility to select for uniformity in Holstein dairy cattle based on these estimates is discussed.
Original languageEnglish
Pages (from-to)2627-2636
JournalJournal of Dairy Science
Volume96
Issue number4
DOIs
Publication statusPublished - 2013

Fingerprint

Genetic Heterogeneity
breeding value
dairy cattle
Breeding
Holstein
Milk
Software
Individuality
Linear Models
somatic cells
milk yield
genetic variance
linear models
Datasets

Keywords

  • generalized linear-models
  • nellore beef-cattle
  • somatic-cell score
  • phenotypic variability
  • milk-production
  • weight traits
  • selection
  • lactation
  • mastitis
  • records

Cite this

@article{e29a090da57f4265b92ec8068194b73a,
title = "Variance component and breeding value estimation for genetic heterogeneity of residual variance in Swedish Holstein dairy cattle",
abstract = "Trait uniformity, or micro-environmental sensitivity, may be studied through individual differences in residual variance. These differences appear to be heritable, and the need exists, therefore, to fit models to predict breeding values explaining differences in residual variance. The aim of this paper is to estimate breeding values for micro-environmental sensitivity (vEBV) in milk yield and somatic cell score, and their associated variance components, on a large dairy cattle data set having more than 1.6 million records. Estimation of variance components, ordinary breeding values, and vEBV was performed using standard variance component estimation software (ASReml), applying the methodology for double hierarchical generalized linear models. Estimation using ASReml took less than 7 d on a Linux server. The genetic standard deviations for residual variance were 0.21 and 0.22 for somatic cell score and milk yield, respectively, which indicate moderate genetic variance for residual variance and imply that a standard deviation change in vEBV for one of these traits would alter the residual variance by 20{\%}. This study shows that estimation of variance components, estimated breeding values and vEBV, is feasible for large dairy cattle data sets using standard variance component estimation software. The possibility to select for uniformity in Holstein dairy cattle based on these estimates is discussed.",
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author = "L. R{\"o}nneg{\aa}rd and M. Felleki and W.F. Fikse and H.A. Mulder and E. Strandberg",
year = "2013",
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language = "English",
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Variance component and breeding value estimation for genetic heterogeneity of residual variance in Swedish Holstein dairy cattle. / Rönnegård, L.; Felleki, M.; Fikse, W.F.; Mulder, H.A.; Strandberg, E.

In: Journal of Dairy Science, Vol. 96, No. 4, 2013, p. 2627-2636.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Variance component and breeding value estimation for genetic heterogeneity of residual variance in Swedish Holstein dairy cattle

AU - Rönnegård, L.

AU - Felleki, M.

AU - Fikse, W.F.

AU - Mulder, H.A.

AU - Strandberg, E.

PY - 2013

Y1 - 2013

N2 - Trait uniformity, or micro-environmental sensitivity, may be studied through individual differences in residual variance. These differences appear to be heritable, and the need exists, therefore, to fit models to predict breeding values explaining differences in residual variance. The aim of this paper is to estimate breeding values for micro-environmental sensitivity (vEBV) in milk yield and somatic cell score, and their associated variance components, on a large dairy cattle data set having more than 1.6 million records. Estimation of variance components, ordinary breeding values, and vEBV was performed using standard variance component estimation software (ASReml), applying the methodology for double hierarchical generalized linear models. Estimation using ASReml took less than 7 d on a Linux server. The genetic standard deviations for residual variance were 0.21 and 0.22 for somatic cell score and milk yield, respectively, which indicate moderate genetic variance for residual variance and imply that a standard deviation change in vEBV for one of these traits would alter the residual variance by 20%. This study shows that estimation of variance components, estimated breeding values and vEBV, is feasible for large dairy cattle data sets using standard variance component estimation software. The possibility to select for uniformity in Holstein dairy cattle based on these estimates is discussed.

AB - Trait uniformity, or micro-environmental sensitivity, may be studied through individual differences in residual variance. These differences appear to be heritable, and the need exists, therefore, to fit models to predict breeding values explaining differences in residual variance. The aim of this paper is to estimate breeding values for micro-environmental sensitivity (vEBV) in milk yield and somatic cell score, and their associated variance components, on a large dairy cattle data set having more than 1.6 million records. Estimation of variance components, ordinary breeding values, and vEBV was performed using standard variance component estimation software (ASReml), applying the methodology for double hierarchical generalized linear models. Estimation using ASReml took less than 7 d on a Linux server. The genetic standard deviations for residual variance were 0.21 and 0.22 for somatic cell score and milk yield, respectively, which indicate moderate genetic variance for residual variance and imply that a standard deviation change in vEBV for one of these traits would alter the residual variance by 20%. This study shows that estimation of variance components, estimated breeding values and vEBV, is feasible for large dairy cattle data sets using standard variance component estimation software. The possibility to select for uniformity in Holstein dairy cattle based on these estimates is discussed.

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KW - weight traits

KW - selection

KW - lactation

KW - mastitis

KW - records

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