Precision feeding of lactating sows: implementation and evaluation of a decision support system in farm conditions
Autor: | Raphaël Gauthier, Christine Largouët, Dan Bussières, Jean-Philippe Martineau, Jean-Yves Dourmad |
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Přispěvatelé: | Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Large Scale Collaborative Data Mining (LACODAM), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Groupe Cérès [Québec], ANR-16-CONV-0004,DIGITAG,Institut Convergences en Agriculture Numérique(2016), European Project: 633531,H2020,H2020-SFS-2014-2,Feed-a-Gene(2015) |
Rok vydání: | 2022 |
Předmět: |
Swine Diseases
Minerals Farms Swine Lysine animal diseases Sexually Transmitted Diseases Nutrient excretion General Medicine Animal Feed Diet Parity Pregnancy Production cost [SDV.SA.SPA]Life Sciences [q-bio]/Agricultural sciences/Animal production studies Machine learning Genetics Animals Lactation Female Lactating sow Precision feeding Animal Science and Zoology Decision support system Food Science |
Zdroj: | Journal of Animal Science Journal of Animal Science, 2022, pp.1-40. ⟨10.1093/jas/skac222⟩ |
ISSN: | 1525-3163 0021-8812 |
DOI: | 10.1093/jas/skac222 |
Popis: | 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 P0.05. 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 (P0.05). Sow body weight loss was low, although it was slightly higher in PRE sows (7.7 vs. 2.1 kg, P0.001), 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; P0.001) and digestible P intake (PRE: 3.2, STD: 3.8 g/kg; P0.001) 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.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. |
Databáze: | OpenAIRE |
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