Estimation of farm specific parameters in a longitudinal model for litter size with variance components and random dropout

Nils Toft, Erik Jørgensen

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The estimation of farm specific parameters is often ignored in studies of decision support systems such as, e.g., sow replacement problems. This study concerns the specification and estimation of farm specific parameters in a model for litter size required by a replacement problem considering culling based on productive performance. This implies a joint distribution of the litter size at the parities under consideration. A non-linear parametric mean curve is used to model,the expected litter size at different parities for sows within the same herd, The, covariance matrix is modeled using variance components of random effects, serial correlation and measurement error. Data from a total of 43 herds are used to devise a likelihood based inference, using maximum likelihood to obtain initial estimates for maximum posterior estimation of farm specific parameters. The maximum posterior approach is required to obtain reasonable estimates in the cases where on-farm registrations are inadequate. (C) 2002 Elsevier Science B.V. All rights reserved.
Original languageEnglish
Article number PII S0301-6226(02)00061-1
JournalLivestock Production Science
Volume77
Issue number2-3
Pages (from-to)175-185
ISSN0301-6226
DOIs
Publication statusPublished - 2002
Externally publishedYes

Keywords

  • Management information systems
  • Decision support
  • Litter sizes
  • Maximum likelihood
  • Maximum posterior

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