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An Efficient Single-Person Technique for Milk Sampling from Laboratory Mice
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Predicting milk yield and composition in lactating sows: a Bayesian approach.

A V Hansen1, A B Strathe, E Kebreab

  • 1Department of Animal Science, University of California, Davis 95616. avhansen@ucdavis.edu

Journal of Animal Science
|February 7, 2012
PubMed
Summary
This summary is machine-generated.

A new framework models sow milk production, revealing litter size and gain impact. The weigh-suckle-weigh method underestimates milk yield compared to deuterium oxide dilution.

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Area of Science:

  • Animal Science
  • Reproductive Biology
  • Nutritional Physiology

Background:

  • Accurate modeling of sow milk production is crucial for optimizing piglet growth and sow reproductive efficiency.
  • Existing methods for determining milk yield may introduce bias, affecting nutritional requirement calculations.
  • Understanding the influence of parity, litter size, and litter gain on milk production is essential for precision feeding.

Purpose of the Study:

  • To develop a comprehensive framework for describing the sow milk production curve.
  • To quantify the effects of parity, milk yield determination method, litter size, and litter gain on milk production.
  • To estimate energy output and compare it with established methods like the 1998 NRC.

Main Methods:

  • Constructed a database integrating data on litter size, litter gain, diet, milk yield, and composition from multiple studies.
  • Employed a Bayesian hierarchical model utilizing a re-parameterized Wood curve to analyze milk production trends.
  • Incorporated random effects (experiment, sow) and fixed effects (litter size, litter gain, parity, method) into the model.
  • Analyzed milk composition using separate models considering day in milk, litter size, and dietary components.

Main Results:

  • The weigh-suckle-weigh technique underestimated milk yield by approximately 20% compared to the deuterium oxide dilution technique.
  • Milk yield was significantly affected by litter size on days 5 and 20, and by litter gain on days 20 and 30 postpartum.
  • Peak lactation occurred around day 18.7, with a mean milk yield of 9.23 kg/day. Average milk composition was 5.22% protein, 5.41% lactose, and 7.32% fat.
  • Nutrient requirements increased with litter size, litter gain, and during the progression of lactation.

Conclusions:

  • The developed framework accurately describes sow milk production curves and their influencing factors.
  • The findings highlight the importance of using appropriate milk yield determination methods for accurate nutritional assessments.
  • This framework can be integrated into whole animal models to optimize energy and nutrient requirements for lactating sows, enhancing performance and longevity.