Application of a precision nutrition tool for growing and finishing pigs

Abstract

-The objective of this study was to evaluate a growth model applied to adjust nutritional programs for growing and finishing pigs, in a commercial production context. The phase I (calibration) was conducted in a commercial pig production unit. The data were collected from a nutritional program, a feed program, and an animal profile. In experimental phase II, these data were entered in the InraPorc ® model for simulations and to propose adjustments to the commercial nutritional program. Afterwards, the conventional nutritional program (CNP) and the adjusted nutritional program (ANP) were compared with InraPorc ® simulation. Animal profile was collected by weighing 30% of pigs per stall and monitoring their feed intake in each stage. Four hundred and thirty-two pigs with an average initial body weight of 21.9 kg were used in a completely randomized design. There were no differences between treatments, the pig performance was affected by temperature conditions, and the fat thickness was 8% higher for CNP than ANP. In conclusion, the model has advantages to adjust growing and finishing pig nutrition programs and improve environmental and economic aspects.

Applying a Mathematical Model for Calculating the Ideal Nutrition for Sheep

“…As technology advances and enters the agricultural sector, the concept of Precision Feeding (PF) is gaining relevance. Several authors include PF among Precision Livestock Farming (PLF) practices, as the two are strictly connected in terms of their basic principles, goals, and benefits for animals and the environment [1][2][3][4]. Employing PLF can assist farmers with managing tasks, including monitoring animal health and performance and optimizing feeding strategies [5,6].…”