Prediction of dry matter intake by feedlot beef cattle under tropical conditions

Silva, H. M. da and Donadia, A. B. and Moreno, L. F. and Oliveira, A. S. de and Moraes, E. H. B. K. and Moraes, K. A. K.

Animal Production Science (2021) 61: 800–806

DOI: 10.1071/AN18767

Abstract

Context: Dry matter intake (DMI) is the variable that most affects beef cattle performance in feedlot conditions. Accurate prediction of DMI is essential because it is the basis for calculating nutritional requirements for maintenance and production. Aims: A meta-analysis was conducted to develop DMI prediction models for feedlot beef cattle under tropical conditions, and to compare the models with those proposed by the National Research Council, USA, in 2000 and 2016, as well as those recommended by the Brazilian System of Nutritional Requirements (BR-Corte) and published by Azevedo and colleagues in 2010 and 2016.

Citation

Silva, H. M. da, Donadia, A. B., Moreno, L. F., Oliveira, A. S. de, Moraes, E. H. B. K., & Moraes, K. A. K. (2021). Prediction of dry matter intake by feedlot beef cattle under tropical conditions. Animal Production Science, 61(8), 800–806. https://doi.org/10.1071/AN18767 prediction, cattle, meta-analysis, beef cattle, Brazil, Animal Nutrition (General) [LL500], mathematical models, Mathematics and Statistics [ZZ100], Meat Producing Animals [LL120], statistical analysis, statistical methods, data analysis, dry matter, nutrient requirements, feedlots, dietary standards, food requirements, nutritional requirements, United States of America, USA

Keywords

• prediction
• cattle
• meta-analysis
• beef cattle
• Brazil
• Animal Nutrition (General) [LL500]
• mathematical models
• Mathematics and Statistics [ZZ100]
• Meat Producing Animals [LL120]
• statistical analysis
• statistical methods
• data analysis
• dry matter
• nutrient requirements
• feedlots
• dietary standards
• food requirements
• nutritional requirements
• United States of America
• USA