Screening for Outliers in Multiple Trait Genetic Evaluarion

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskning

Dokumenter

  • Per Madsen
  • Jukka Pösa, Faba co-op, Finland
  • Jørn Pedersen, The Knowledge Centre for Agriculture, Cattle, Danmark
  • Martin Lidauer, MTT, Agrifood Research Finland, Biotechnology and Food Research, Genetic Research Group, Finland
  • Just Jensen
Use of multivariate models in genetic evaluation requires a multivariate method for detecting erroneous outliers that cannot be detected using univariate methods. A simple rule for detecting outliers based on an approximated Mahanalobis distance was applied to Jersey data from the routine Nordic genetic evaluation in dairy cattle. Application of such is simple to implement and increased the accuracy of predicted breeding values for animals that has one or more records edited. Potential biases in evaluations for contemporary animals were also reduced. Optimum editing rules can be determined using the same data structures as used in the standard INTERBULL test for model verification
OriginalsprogEngelsk
TitelINTERBULL BULLETIN
Antal sider6
Vol/bind46
Udgivelsesårmaj 2012
Sider85-91
StatusUdgivet - maj 2012
BegivenhedInterbull meeting - Cork, Irland
Varighed: 28 maj 201231 maj 2012
Konferencens nummer: 2012

Konference

KonferenceInterbull meeting
Nummer2012
LandIrland
ByCork
Periode28/05/201231/05/2012

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