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


ABSTRACT: A dynamic model has been developed to simulate aspects of feedlot lamb growth and body composition, including energy and protein requirements, growth rate, composition of gain, and body mass. Model inputs include initial body mass (kg), standard final mass (kg), age (days), and dietary energy concentration (Mcal·kg-1). The model was assessed as a decision support tool using a dataset of 564 individual measures of final body mass and diet energy. The simulations provide graphical and numerical descriptions of nutrient requirements, composition of gain, and estimates of animal performance over time. The model is accurate and precise, with a root mean squared error of 7.79% of the observed final body mass and a coefficient of determination of 0.89 when simulating the same variable. The model can be used as a reliable decision support tool to estimate final body mass and the days on feed required to reach a certain final mass with precision and accuracy. Moreover, the dynamic model can also serve as a learning tool to illustrate practical principles of animal nutrition, nutrient requirement relationships, and body composition changes. This model holds the potential to enhance livestock management practices and assist producers in making informed decisions about feedlot lamb production.

SUBMITTER: Amaral RM 

PROVIDER: S-EPMC11311011 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature

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

Amaral Rafael Marzall RM   Rodrigues Marcelo Teixeira MT   Schultz Erica Beatriz EB   Reis Cristiano Eduardo Rodrigues CER  

Animals : an open access journal from MDPI 20240802 15


A dynamic model has been developed to simulate aspects of feedlot lamb growth and body composition, including energy and protein requirements, growth rate, composition of gain, and body mass. Model inputs include initial body mass (kg), standard final mass (kg), age (days), and dietary energy concentration (Mcal·kg<sup>-1</sup>). The model was assessed as a decision support tool using a dataset of 564 individual measures of final body mass and diet energy. The simulations provide graphical and n  ...[more]

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