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Coupling a reproductive function model to a productive function model to simulate lifetime performance in dairy cows.

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Summary
This summary is machine-generated.

This study developed a dynamic cow model integrating productive and reproductive functions to predict lifetime performance. The model simulates dairy cow productivity and fertility, aiding in evaluating factors influencing reproductive success across various farm management systems.

Keywords:
cattlecyclicityfertilityherd levelreproduction

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Area of Science:

  • Animal Science
  • Dairy Cattle Physiology
  • Mathematical Modeling

Background:

  • Dairy cow reproductive success is crucial for lifetime performance but is challenging to predict due to complex interactions with productive functions.
  • Existing models often lack integrated simulation of both productive and reproductive aspects throughout a cow's lifespan.
  • Understanding these interactions is vital for improving herd fertility and overall farm profitability.

Purpose of the Study:

  • To introduce and validate a dynamic, integrated model simulating the lifetime productive and reproductive performance of dairy cows.
  • To couple an existing productive function model (GARUNS) with a novel reproductive function model (RFM).
  • To provide a tool for evaluating factors affecting fertility at individual cow and herd levels under different management scenarios.

Main Methods:

  • Developed a dynamic cow model by coupling the GARUNS (productive function) and RFM (reproductive function) models.
  • RFM simulates reproductive stages (e.g., anestrous, ovulating, gestating) and hormonal profiles, influenced by GARUNS outputs (energy balance, TPEW).
  • Incorporated a farming system model for diverse management protocols and conducted 10,000 simulations over a 5000-day period.

Main Results:

  • Model simulations demonstrated consistency with established literature values for reproductive performance.
  • The integrated model successfully simulated deviations in reproductive trajectories across physiological stages.
  • Results highlight the model's capability to assess the impact of various factors on fertility.

Conclusions:

  • The dynamic, integrated cow model provides a robust platform for simulating lifetime productive and reproductive performance.
  • This tool enables the evaluation of genetic and management factors influencing dairy cow fertility.
  • The model serves as a basis for optimizing reproductive strategies and improving dairy herd management.