Quality control of national genetic evaluation results using data mining techniques; a progress report

Abstract

This project sets out to explore possibilities to apply data mining techniques with the aim to assess and assure data quality in genetic evaluations of dairy cattle. Techniques were based on classification and decision-tree algorithms deriving association rules between estimated genetic merit (bull proof) and various input variables. Data were quarterly national genetic evaluations, computed between February 1999 and February 2003 in nine countries. Each evaluation run included 73,000 – 90,000 bull records complete with their genetic values and evaluation information. Milk production traits were considered. Data mining algorithms were applied separately for each country and evaluation run to search for associations across several dimensions, including bull origin, type of proof, age of bull, and number of daughters

Published in

Interbull bulletin
2003, volume: 31, pages: 8-16
Publisher: Department of Animal Breeding and Genetics, SLU

Conference

The 2003 Interbull meeting

SLU Authors

• Emanuelson, Ulf

  • Department of Animal Biosciences, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Animal and Dairy Science
Veterinary Science

Permanent link to this page (URI)

https://res.slu.se/id/publ/213