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An Efficient Single-Person Technique for Milk Sampling from Laboratory Mice
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A semi-parametric model for lactation curves: development and application.

A Madouasse1, W J Browne, J N Huxley

  • 1School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Sutton Bonington LE12 5RD, UK. Aurelien.Madouasse@oniris-nantes.fr

Preventive Veterinary Medicine
|March 7, 2012
PubMed
Summary
This summary is machine-generated.

We developed a new model to understand dairy cow lactation curves, considering factors like dry period infections. High somatic cell counts (SCC) during the dry period significantly reduce milk production in the subsequent lactation.

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Area of Science:

  • Animal Science
  • Dairy Science
  • Veterinary Epidemiology

Background:

  • Lactation curves are crucial for dairy herd management.
  • Understanding factors influencing milk production is essential for optimizing dairy farm efficiency.
  • Intramammary infections (IMI) during the dry period can impact subsequent lactation performance.

Purpose of the Study:

  • To develop a semi-parametric model for lactation curves incorporating stage of lactation, day of year, and stage of gestation.
  • To investigate the association between intramammary infection (IMI) dynamics during the dry period and lactation curve shape.
  • To quantify the impact of somatic cell count (SCC) during the dry period on milk production.

Main Methods:

  • A semi-parametric model was developed to describe lactation curves with two change points, where the second is gestation-dependent.
  • Cosine and sine functions were used to model seasonal effects of milk recording.
  • Multilevel models analyzed individual test-day milk production, incorporating data from 2128 herds in England and Wales (2004-2007).

Main Results:

  • The model identified three lactation phases with change points at 60 days in milk and varying gestation stages.
  • Average milk production at 60 days in milk varied by parity, with higher parities producing more.
  • Cows with SCC > 200,000 cells/mL in early lactation lost an estimated 216-518 kg of milk production, depending on parity.

Conclusions:

  • The proposed model accurately describes lactation curves, incorporating key biological and environmental factors.
  • Somatic cell count dynamics during the dry period significantly impact milk yield in the following lactation.
  • Managing intramammary infections during the dry period is critical for maximizing dairy cow milk production.