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Least-cost ration formulations for Holstein dairy heifers by using linear and stochastic programming
1Department of Dairy and Animal Science, Pennsylvania State University, University Park 16802, USA. ptozer@das.psu.edu
Journal of Dairy Science
|April 6, 2000
Summary
Mathematical programming models optimize dairy heifer rations for cost-effective growth. Stochastic programming offers superior cost and crude protein management compared to other methods for large breed replacement heifers.
Area of Science:
- Animal Science
- Operations Research
- Agricultural Economics
Background:
- Optimizing nutrition for large breed replacement dairy heifers is crucial for achieving target calving weights.
- Variability in feed ingredient nutrient content, particularly crude protein, presents challenges in ration formulation.
- Mathematical programming offers a systematic approach to address these nutritional and economic considerations.
Purpose of the Study:
- To develop and compare mathematical programming models for formulating rations for large breed replacement dairy heifers.
- To evaluate the cost-effectiveness and protein-feeding accuracy of different modeling approaches.
- To determine optimal feeding strategies for heifers across various weight classes and growth rates.
Main Methods:
- Developed four mathematical programming models: base linear programming, right-hand side adjustment, safety margin incorporation, and stochastic programming.
- Modeled rations for 11 weight classes (50-550 kg) and three daily growth rates (600, 700, 800 g).
- Objective was to achieve a final calving weight of 600 kg, considering crude protein variability.
Main Results:
- Average daily costs to calving were $0.62, $0.64, and $0.68 for 600, 700, and 800 g/d growth rates, respectively.
- Stochastic programming demonstrated superior performance in cost and crude protein management compared to right-hand side adjustment and safety margin methods.
- Stochastic programming resulted in a 5% crude protein over-adjustment and a 3.5% cost increase at 800 g/d growth, with 80% probability of meeting NRC minimums.
Conclusions:
- Stochastic programming is a more effective method for formulating dairy heifer rations with variable crude protein content.
- The choice of programming model significantly impacts feed costs and nutrient over-adjustment.
- Accurate ration formulation using advanced mathematical models can lead to improved economic and nutritional outcomes for dairy replacement heifers.