Precision feeding (PF) aims to provide the right amount of nutrients at the right time for each animal. Lactating sows generally receive the same diet, which either results in insufficient supply and body reserve mobilization, or excessive supply and high nutrient excretion. With the help of online measuring devices, computational methods, and smart feeders, we introduced the first PF decision support system (DSS) for lactating sows. Precision (PRE) and conventional (STD) feeding strategies were compared in commercial conditions. Every day each PRE sow received a tailored ration that had been computed by the DSS. This ration was obtained by blending a diet with a high AA and mineral content (13.00 g/kg SID Lys, 4.50 g/kg digestible P) and a diet low in AAs and minerals (6.50 g/kg SID Lys, 2.90 g/kg digestible P). All STD sows received a conventional diet (10.08 g/kg SID Lys, 3.78 g/kg digestible P). Before the trial, the DSS was fitted to farm performance for the prediction of piglet average daily gain (PADG) and sow daily feed intake (DFI), with data from 1,691 and 3,712 lactations, respectively. Sow and litter performance were analyzed for the effect of feeding strategy with ANOVA, with results considered statistically significant when P < 0.05. The experiment involved 239 PRE and 240 STD sows. DFI was similarly high in both treatments (PRE: 6.59, STD: 6.45 kg/d; P = 0.11). Litter growth was high (PRE: 2.96, STD: 3.06 kg/d), although it decreased slightly by about 3% in PRE compared to STD treatments (P < 0.05). Sow body weight loss was low, although it was slightly higher in PRE sows (7.7 vs. 2.1 kg, P < 0.001), which might be due to insufficient AA supply in some sows. Weaning to estrus interval (5.6 d) did not differ. In PRE sows SID Lys intake (PRE: 7.7, STD: 10.0 g/kg; P < 0.001) and digestible P intake (PRE: 3.2, STD: 3.8 g/kg; P < 0.001) declined by 23% and 14%, respectively, and feed cost decreased by 12%. For PRE sows, excretion of N and P decreased by 28% and 42%, respectively. According to these results, PF appears to be a very promising strategy for lactating sows.
Keywords: decision support system; lactating sow; machine learning; nutrient excretion; precision feeding; production cost.
In lactating sows, nutrient requirements among individual animals vary greatly. With a single diet, lactating sows are likely to be either underfed, which results in body reserve mobilization, or overfed, which results in nutrient excretion. Precision feeding (PF) is a new feeding strategy that aims to provide the right amount of nutrients at the right time for each animal. In this study, we focus on the implementation and the evaluation of a decision support system (DSS) that delivers daily tailored diets to lactating sows. Two experimental treatments were compared: a precision feeding strategy based on the DSS (PRE treatment; 239 sows), and a conventional feeding strategy (STD treatment; 240 sows). Digestible lysine intake and digestible phosphorus intake were reduced by 23% and 14% in PRE sows, respectively, and feed cost by 12%, compared to STD sows. Excretion of nitrogen and phosphorus also decreased for PRE sows by 28% and 42%, respectively. Sow body weight loss was low, although slightly higher in PRE sows, which might be due to insufficient amino acid supply in some sows. PF appears to be a very promising strategy for matching nutrient supply to the specific nutrient requirements of lactating sows.
© The Author(s) 2022. Published by Oxford University Press on behalf of the American Society of Animal Science.