Measurement error variance of test-day observations from automatic milking systems

Authors

  • Timo Pitkänen
  • Esa Mäntysaari
  • Ulrik Nielsen
  • Gert Aamand
  • Per Madsen
  • Martin Lidauer

Keywords:

Residual variance, genetic evaluation model, Nordic Holstein

Abstract

Automated milking systems (AMS) are becoming more popular in dairy farms. In this paper we present an approach for estimation of residual error covariance matrices for AMS and conventional milking system (CMS) observations. The variances for other random effects are kept as defined in the evaluation model. AMS residual variances were found to be 16 to 37 percent smaller for milk and protein yield and 42 to 47 percent larger for fat yield compared to CMS.

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Published

2012-05-30

Issue

No. 46 (2012): Proceedings of the 2012 Interbull meeting

Section

Articles

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