A Simplified Daily Fit Model to Reduce Costs and Nutrient Intake in Growing-Finishing Pigs

Autor: Yann M. Ferreira, Rayna S. V. Amaral, Blandina G. V. Silva, Leila C. S. Moura, Diana A. Oliveira, Tadeu E. da Silva, Luciano Hauschild, Ines Andretta, Luan S. Santos
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Animals, Vol 14, Iss 20, p 2922 (2024)
Druh dokumentu: article
ISSN: 2076-2615
68484674
DOI: 10.3390/ani14202922
Popis: Precision feeding is an excellent alternative to conventional phase feeding systems for growing-finishing pigs, especially with increasing feeding costs and environmental sustainability concerns. However, precision feeding strategies sometimes require advanced technologies such as electronic devices and the modernization of pig facilities. In addition to hardware implementation, precision feeding is frequently related to mathematical difficulties due to a lack of professionals trained in decision making. Therefore, this study compares a conventional phase feeding model (CON) and a daily fit model (DFM) with a simplified approach to the conscious use of nutrients for pig production. A simulation study was conducted using growth curves of barrow pigs, following three nutritional recommendations for conventional phase feeding. Once the nutrient requirements for CON were determined, these diets were used for the DFM by anticipating a proportional percentage of the next phase diet in the current diet. This simple adjustment does not impair the growth performance of pigs. However, in this study, the DFM showed promise during the growing-finishing phases to reduce pigs’ costs and nutrient intakes, such as crude protein, lysine, and digestible phosphorus, up to 5.58, 7.11 and 9.13%, respectively. In conclusion, the DFM can effectively reduce costs, minimize environmental impact, and promote sustainable practices. Also, this industry-wide adoption of this simplified precision feeding strategy could play a vital role in swine farmers’ challenges, fostering broader environmental benefits and improved resource efficiency.
Databáze: Directory of Open Access Journals