Unite Mixte Technologique Ingenierie des Systemes de Production Porcine

Saint-Gilles, France

Unite Mixte Technologique Ingenierie des Systemes de Production Porcine

Saint-Gilles, France

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Brossard L.,Unite Mixte Technologique Ingenierie des Systemes de Production Porcine | Brossard L.,French National Institute for Agricultural Research | Brossard L.,Agrocampus Ouest | Vautier B.,Unite Mixte Technologique Ingenierie des Systemes de Production Porcine | And 10 more authors.
Animal Production Science | Year: 2014

Variability in bodyweight (BW) among pigs complicates the management of feeding strategies and slaughter. Including variability among individuals in modelling approaches can help to design feeding strategies to control performance level, but also its variability. The InraPorc model was used to perform simulations on 10 batches of 84 crossbred pigs each to characterise the effect of feeding strategies differing in amino acid supply or feed allowance on the mean and variation in growth rate. Results suggested that a feed restriction reduces the coefficient of variation of BW at first departure for slaughter (BW1) by 34%. Growth performance obtained from an in silico simulation using ad libitum and restricted feeding plans was compared with results obtained in an in vivo experiment on a batch of 168 pigs. Pigs were offered feed ad libitum or were restricted (increase in feed allowance by 27 g/day up to a maximum of 2.4 and 2.7 kg/day for gilts and barrows, respectively). A two-phase feeding strategy was applied, with 0.9 and 0.7 g of digestible lysine per MJ of net energy (NE) in diets provided before or after 65 kg BW, respectively. Actual growth was similar to that obtained by simulation. Coefficient of variation of BW1 was similar in vivo and in silico for the ad libitum feeding strategy but was underestimated by 1 percentage point in silico for the restriction strategy. This study confirms the relevance of using simulations performed to predict the level and variability in performance of group housed pigs. © CSIRO 2014.

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