Quantitative assessment of the effects of space allowance, group size and floor characteristics on the lying behaviour of growing-finishing pigs

To obtain quantitative information that can be later used in animal welfare modelling, the relationship between the lying behaviour of growing-finishing pigs (initial body weight (BW) between 19 and 87 kg) and different factors related to the housing conditions, with a potential negative effect on their welfare, was studied by means of a meta-analytical approach. Data from 22 experiments reported in 21 scientific publications were collected. The space allowance, expressed on an allometric basis by means of a k-value (m2/BW0.667), the group size (n) and the floor characteristics (fully and partly slatted v. non-slatted floor), as well as their significant two-way interactions were used as fixed effects, and the experiment was used as a random factor to take into account the interexperiment effect. Further regression analyses were performed on the predicted values of observations in order to improve the adjustment of data. A significant quadratic relationship was established between space allowance (k-value, P <0.05; squared k-value, P <0.01) and the percentage of time spent lying. A significant interaction between the k-value and the floor type was also found (P <0.05), showing that the relationship between space allowance and lying behaviour is affected by the presence or absence of slats. Threshold k-values were obtained using broken-line analyses, being about 0.039 for slatted floors and almost double for non-slatted floors. Compared to other studies, these values suggest that the ability to rest as space availability decreases may be compromised before a reduced performance becomes apparent. Group size did not show a significant effect. Additional information should be added to the model, as further data become available, to adjust the proposed parameters as well as to try to include the effect of other important aspects such as that of ambient temperature

Economic optimization of feeding and shipping strategies in pig-fattening units with an individual-based model

International audience The economic results of pig farming systems are highly variable and depend on the price of feeds, pig performance, and pork price.  Shipping strategy affects farm income since over- and under-weight pigs tend to lose in the gross margin.  Therefore, feeding and shipping strategies are major levers for improvement

Review: Towards the agroecological management of ruminants, pigs and poultry through the development of sustainable breeding programmes. II. Breeding strategies

Agroecology uses ecological processes and local resources rather than chemical inputs to develop productive and resilient livestock and crop production systems. In this context, breeding innovations are necessary to obtain animals that are both productive and adapted to a broad range of local contexts and diversity of systems. Breeding strategies to promote agroecological systems are similar for different animal species. However, current practices differ regarding the breeding of ruminants, pigs and poultry. Ruminant breeding is still an open system where farmers continue to choose their own breeds and strategies. Conversely, pig and poultry breeding is more or less the exclusive domain of international breeding companies which supply farmers with hybrid animals. Innovations in breeding strategies must therefore be adapted to the different species. In developed countries, reorienting current breeding programmes seems to be more effective than developing programmes dedicated to agroecological systems that will struggle to be really effective because of the small size of the populations currently concerned by such systems. Particular attention needs to be paid to determining the respective usefulness of cross-breeding v. straight breeding strategies of well-adapted local breeds. While cross-breeding may offer some immediate benefits in terms of improving certain traits that enable the animals to adapt well to local environmental conditions, it may be difficult to sustain these benefits in the longer term and could also induce an important loss of genetic diversity if the initial pure-bred populations are no longer produced. As well as supporting the value of within-breed diversity, we must preserve between-breed diversity in order to maintain numerous options for adaptation to a variety of production environments and contexts. This may involve specific public policies to maintain and characterize local breeds (in terms of both phenotypes and genotypes), which could be used more effectively if they benefited from the scientific and technical resources currently available for more common breeds. Last but not least, public policies need to enable improved information concerning the genetic resources and breeding tools available for the agroecological management of livestock production systems, and facilitate its assimilation by farmers and farm technicians

Determination of protein and amino acid requirements of lactating sows using a population-based factorial approach

Determination of appropriate nutritional requirements is essential to optimize the productivity and longevity of lactating sows. The current recommendations for requirements do not consider the large variation between animals. Therefore, the aim of this study was to determine the amino acid recommendations for lactating sows using a stochastic modeling approach that integrates population variation and uncertainty of key parameters into establishing nutritional recommendations for lactating sows. The requirement for individual sows was calculated using a factorial approach by adding the requirement for maintenance and milk. The energy balance of the sows was either negative or zero depending on feed intake being a limiting factor. Some parameters in the model were sow-specific and others were population-specific, depending on state of knowledge. Each simulation was for 1000 sows repeated 100 times using Monte Carlo simulation techniques. BW, back fat thickness of the sow, litter size (LS), average litter gain (LG), dietary energy density and feed intake were inputs to the model. The model was tested using results from the literature, and the values were all within ±1 s.d. of the estimated requirements. Simulations were made for a group of low- (LS=10 (s.d.=1), LG=2 kg/day (s.d.=0.6)), medium- (LS=12 (s.d.=1), LG=2.5 kg/day (s.d.=0.6)) and high-producing (LS=14 (s.d.=1), LG=3.5 kg/day (s.d.=0.6)) sows, where the average requirement was the result. In another simulation, the requirements were estimated for each week of lactation. The results were given as the median and s.d. The average daily standardized ileal digestible (SID) protein and lysine requirements for low-, medium- and high-producing sows were 623 (CV=2.5%) and 45.1 (CV=4.8%); 765 (CV=4.9%) and 54.7 (CV=7.0%); and 996 (CV=8.5%) and 70.8 g/day (CV=9.6%), respectively. The SID protein and lysine requirements were lowest at week 1, intermediate at week 2 and 4 and the highest at week 3 of lactation. The model is a valuable tool to develop new feeding strategies by taking into account the variable requirement between groups of sows and changes during lactation. The inclusion of between-sow variation gives information on safety margins when developing new dietary recommendations of amino acids and protein for lactating sows

Connaissance des émissions gazeuses dans les différentes filières de gestion des effluents porcins

Cet article résume les apports du programme "Porcherie verte" dans la connaissance et la maîtrise des émissions gazeuses intervenant lors des différentes phases de l'élevage porcin. Ces émissions comprennent des gaz à effet de serre, particulièrement le méthane (CH4) et le protoxyde d'azote (N2O), ainsi que l'ammoniac (NH3), nocif pour les animaux et pour l'Homme et qui a un impact sur l'environnement en termes d'acidification et d'eutrophisation. Les émissions de NH3 ont été modélisées pour le cas des bâtiments d'élevage sur caillebottis. Ces émissions peuvent être réduites en diminuant la teneur en protéines de l'aliment distribué aux animaux ou en renouvelant fréquemment le lisier dans les bâtiments. Le traitement biologique du lisier permet aussi de réduire ces émissions, surtout en l'absence de séparation de phases. Le brassage du lisier dans les fosses de stockage les favorise au contraire. Les émissions de NH3 varient fortement en fonction du substrat utilisé pour la litière et de son mode de conduite. Pendant le compostage, elles dépendent aussi fortement des caractéristiques initiales du substrat composté, mais aussi de la technique utilisée. Les émissions de N2O sont en général plus élevées avec de la litière que sur caillebotis, mais il y a de très fortes variations en fonction de son mode de conduite. Le compostage peut aussi conduire à des émissions de N2O, tout particulièrement s'il est pratiqué en couche mince. Lors du traitement biologique des lisiers, ces émissions sont assez faibles mais dépendent de la technique d'aération utilisée. Dans le sol, les émissions de N2O ne sont pas plus importantes après apports d'effluents animaux qu'après apports de fertilisants minéraux et restent difficiles à quantifier. Les émissions de CH4 sont plus faibles sur litière que sur caillebotis. Elles sont faibles également lors du compostage, sauf s'il est réalisé en couche mince. Le traitement biologique du lisier conduit à une forte réduction des émissions par rapport à un simple stockage. Les litières et le compostage ont une excellente image de marque auprès du grand public et sont souvent réputées avoir beaucoup moins d'impact sur l'environnement que le lisier. Nous avons pu montrer cependant qu'elles génèrent en général davantage de gaz à effet de serre, que ce soit de façon directe (émissions de N2O) ou indirecte (gaspillage de fertilisants azotés dont la synthèse est très "énergivore"), et ce d'autant plus que l'on cherche à rogner sur les coûts en augmentant la densité animale ou en diminuant la quantité de paille utilisée comme substrat de compostage. De même, le traitement biologique du lisier, qui semble à première vue avoir un impact favorable puisqu'il conduit à réduire les émissions de NH3 sans trop relarguer de N2O, a en fait un bilan environnemental très défavorable du fait qu'il est très "énergivore" aussi bien directement qu'indirectement (gaspillage de fertilisants). On a là un double transfert de pollution, du sol et de l'eau vers l'atmosphère d'une part, et de l'exploitation vers l'extérieur de l'exploitation d'autre part. (Résumé d'auteur

Relations entre les impacts environnementaux, l'excrétion et les performances, chez le porc à l'engrais

The selection of animals for improved production traits has long been the major driver of pig breeding. More recently, new selection criteria are being explored, such as nitrogen (N) excretion. However, life cycle assessment (LCA) provides much better indicators of environmental impacts. The objective of this study was to investigate, using a modelling approach, relationships between production traits and LCA impacts of individual growing pigs. Impacts were calculated at the farm gate using the functional unit of one kg of body weight gain. Performances of pigs were simulated for two feeding programs − 2-phase and precision feeding − using the InraPorc population model (1,000 pigs per scenario). LCA calculations were performed for each pig according to its own performance and excretion. Results indicated that N excretion was positively correlated with feed conversion ratio (FCR; r=0.956), climate change (CC; r=0.955), acidification potential (AP; r=0.968), and eutrophication potential (EP; r=0.967), regardless of the feeding program. However, FCR appeared the best indicator of LCA impacts (better than N or P excretion), with a high positive correlation (r>0.99) with CC, AC, and EU for both feeding programs. Despite the lower CC, AP, and EP in the precision-feeding program (3%, 16% and 11% lower, respectively, than those for the 2-phase program), the correlations between performance and impacts were similar, although the ranking of pigs differed slightly. Thus, using of FCR as a selection criterion in pig breeding appears a promising approach to associate higher performance with lower environmental impact