A Dynamic Tool to Describe Lamb Growth and Its Use as a Decision Support System

Area of Science:

• Animal Science
• Agricultural Engineering
• Nutritional Physiology

Background:

• Feedlot lamb production requires precise management of growth and body composition.
• Accurate estimation of nutrient requirements and performance is crucial for profitability.

Purpose of the Study:

• To develop and validate a dynamic model for simulating feedlot lamb growth and body composition.
• To assess the model's utility as a decision support and learning tool for producers.

Main Methods:

• Developed a dynamic simulation model incorporating inputs such as initial body mass, age, and dietary energy.
• Validated the model using a dataset of 564 individual measures of final body mass and diet energy.
• Evaluated model accuracy using root mean squared error and coefficient of determination.

Main Results:

• The model accurately simulates lamb growth, body composition, and nutrient requirements over time.
• Achieved a root mean squared error of 7.79% and a coefficient of determination of 0.89 for final body mass prediction.
• Provided graphical and numerical outputs for nutrient needs, composition of gain, and animal performance.

Conclusions:

• The dynamic model is a reliable tool for estimating final body mass and days on feed with high accuracy and precision.
• The model serves as an effective educational resource for understanding animal nutrition and body composition principles.
• Implementation of this model can enhance feedlot lamb production management and producer decision-making.