du.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Genetic Heteroscedasticity for Teat Count in Pigs
Dalarna University, School of Technology and Business Studies, Statistics.
Sveriges lantbruksuniversitet, Institutionen för husdjursgenetik.
(English)Manuscript (preprint) (Other academic)
National Category
Probability Theory and Statistics Animal and Dairy Science
Research subject
Komplexa system - mikrodataanalys
Identifiers
URN: urn:nbn:se:du-14318OAI: oai:DiVA.org:du-14318DiVA: diva2:725324
Available from: 2014-06-16 Created: 2014-06-16 Last updated: 2014-06-30Bibliographically approved
In thesis
1. Genetic Heteroscedasticity for Domestic Animal Traits
Open this publication in new window or tab >>Genetic Heteroscedasticity for Domestic Animal Traits
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Animal traits differ not only in mean, but also in variation around the mean. For instance, one sire’s daughter group may be very homogeneous, while another sire’s daughters are much more heterogeneous in performance. The difference in residual variance can partially be explained by genetic differences. Models for such genetic heterogeneity of environmental variance include genetic effects for the mean and residual variance, and a correlation between the genetic effects for the mean and residual variance to measure how the residual variance might vary with the mean.

The aim of this thesis was to develop a method based on double hierarchical generalized linear models for estimating genetic heteroscedasticity, and to apply it on four traits in two domestic animal species; teat count and litter size in pigs, and milk production and somatic cell count in dairy cows.

The method developed is fast and has been implemented in software that is widely used in animal breeding, which makes it convenient to use. It is based on an approximation of double hierarchical generalized linear models by normal distributions. When having repeated observations on individuals or genetic groups, the estimates were found to be unbiased.

For the traits studied, the estimated heritability values for the mean and the residual variance, and the genetic coefficients of variation, were found in the usual ranges reported. The genetic correlation between mean and residual variance was estimated for the pig traits only, and was found to be favorable for litter size, but unfavorable for teat count.

Place, publisher, year, edition, pages
Uppsala: Sveriges Lantbruksuniversitet, 2014. 54 p.
Series
Acta Universitatis agriculturae Sueciae, ISSN 1652-6880 ; 2014:43
Keyword
Quantitative genetics, genetic heteroscedasticity of residuals, genetic heterogeneity of environmental variation, genetic heterogeneity of residual variance, double hierarchical generalized linear models, teat count in pigs, litter size in pigs, milk yield in cows, somatic cell count in cows
National Category
Animal and Dairy Science Probability Theory and Statistics
Research subject
Komplexa system - mikrodataanalys
Identifiers
urn:nbn:se:du-14310 (URN)978-91-576-8035-8 (ISBN)978-91-576-8034-1 (ISBN)
Public defence
2014-06-11, Room L, Undervisningsplan 8, Uppsala, 09:15 (English)
Opponent
Supervisors
Available from: 2014-06-16 Created: 2014-06-16 Last updated: 2015-06-08Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Felleki, Majbritt
By organisation
Statistics
Probability Theory and StatisticsAnimal and Dairy Science

Search outside of DiVA

GoogleGoogle Scholar

Total: 599 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf