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The 4-vessel Sampling Approach to Integrative Studies of Human Placental Physiology In Vivo
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Comparing subpopulations of plasma progesterone using cluster analyses.

S Meier1, J R Roche, E S Kolver

  • 1DairyNZ Limited, Private Bag 3221, Hamilton 3240, New Zealand. Susanne.Meier@DairyNZ.co.nz

Journal of Dairy Science
|March 25, 2009
PubMed
Summary

Progesterone profiles during the estrous cycle show significant variation, even in healthy cows. Identifying these progesterone subpopulations may reveal factors contributing to subfertility in dairy cows.

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Area of Science:

  • Reproductive biology
  • Animal science
  • Endocrinology

Background:

  • Progesterone is crucial for early embryonic development and uterine function.
  • Understanding progesterone profile variations is key to identifying reproductive health issues.

Purpose of the Study:

  • To identify subpopulations of progesterone profiles during the estrous cycle in lactating cows.
  • To investigate the influence of cow strain and diet on these progesterone profiles.
  • To explore the potential link between progesterone profile variations and subfertility.

Main Methods:

  • Plasma progesterone concentrations were measured in Holstein-Friesian cows.
  • Shape-based and trait-based clustering techniques were used to identify progesterone profile subpopulations.
  • Resistant nonlinear smoothing functions were applied to progesterone data.

Main Results:

  • Both clustering methods identified 3 similar subpopulations of progesterone profiles.
  • Progesterone profiles differed in the late luteal phase and luteal regression onset across clusters.
  • Cow strain influenced progesterone profile shape within trait-based clusters.

Conclusions:

  • Significant variation exists in progesterone profiles, even within normal cycles.
  • Differences in early luteal phase progesterone and luteal regression onset may indicate subfertility.
  • Trait-based clustering revealed cow strain effects on progesterone profiles.