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Salivary and urinary metabolome analysis for pre-puberty-related biomarkers identification in porcine

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Ghylène Goudet et al., Animal, 2019, volume 13, n° 4, avril, p. 760-770

Estrus synchronization is important for optimal management of gilt reproduction in pig farms. Hormonal treatments, such as synthetic progestogens, are used on a routine basis, but there is a growing demand for non-hormonal alternative breeding tools. Before puberty, gilts exhibit a ‘waiting period,’ related to the ovarian development and gonadotrophin secretions, during which external stimulations, such as boar exposure, could induce and synchronize first ovulation. Practical non-invasive tools for identification of this period in farms are lacking. During this period, urinary oestrone levels are high, but urine sampling is difficult in group-housed females. The aim of this work was to search for specific biomarkers of the ‘waiting period’ in saliva and urine. In total, nine 144- to 147-day-old Large White gilts were subjected to trans-abdominal ultrasonography three times a week for 5 weeks until puberty detection (week –5 to week –1 before puberty). Urine and saliva samples were collected for oestrone assay to detect the ‘waiting period’ and for metabolome analysis using 1H-nuclear magnetic resonance spectroscopy to detect potential biomarkers of the ‘waiting period.’ Gilts were slaughtered 7 days after puberty detection for puberty confirmation. Results were consistent with ultrasonography data for six gilts. Urine and saliva samples from these six gilts were analyzed. Urinary estrone concentration significantly increased 2 weeks before puberty detection. Metabolome analysis of urine samples allowed the identification of 78 spectral bins, among them, 42 low-molecular-weight metabolites were identified. Metabolome analysis of salivary samples allowed the identification of 59 spectral bins, among them, 23 low-molecular-weight metabolites were detected and 17 were identified. No potential biomarker was identified in urinary samples. In saliva, butyrate and 2HOvalerate, 5.79 ppm (putatively uridine), formate, malonate and propionate could be biomarker candidates to ascertain the pre-puberty period in gilt reproduction. These results confirm that non-invasive salivary samples could allow the identification of the physiological status of the gilts and presumably the optimal time for application of the boar effect. This could contribute to synchronize puberty onset and hence to develop non-hormonal breeding tools.

https://www.cambridge.org/core/services/aop-cambridge-core/content/view/FA6DFF10CB490FA7F83C89B8F3696779/S1751731118002161a.pdf/salivary_and_urinary_metabolome_analysis_for_prepubertyrelated_biomarkers_identification_in_porcine.pdf

2019

Le panel Inaporc analyse les traitements antibiotiques

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Anne Hémonic, Réussir Porc-Tech Porc (FRA), 2019, n° 267, avril, p. 36-37

Entre 2010 et 2016, l’usage des antibiotiques a fortement baissé sur les porcs de la naissance à l’abattage. Mais ils a peu évolué sur les truies.

PDF icon Anne Hémonic, Réussir Porc-Tech Porc (FRA), 2019, n° 267, avril, p. 36-37
2019

Intérêt des performances de truies croisées pour la sélection en race pure de caractères de reproduction de la lignée maternelle Large White

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51es Journées de la Recherche Porcine, 5 et 6 février 2019, Paris, p. 309-314, par Raphaël Boré et al.

L’objectif de cette étude est d’évaluer l’intérêt des performances de reproduction de truies croisées Large White x Landrace pour l’évaluation génomique de la lignée maternelle Large White Français (LW). Les performances de 24 771 truies croisées (103 305 portées) ayant eu une carrière dans un élevage de production entre 2007 et 2017 ont été analysées conjointement avec les performances de 24 377 femelles LW de race pure utilisées sur la même période (69 415 portées). Deux caractères ont été considérés : le nombre de porcelets nés vivants (NbNv) et le nombre de mort-nés (NbMn). Les performances exprimées en race pure et en croisement ont été analysées comme deux caractères différents génétiquement corrélés. Les composantes de la variance de chaque caractère ont été estimées par Gibbs Sampling en remontant cinq générations de pedigree pour construire les matrices de parenté et en intégrant l’information génomique de 1 439 reproducteurs LW. Pour les deux caractères les héritabilités estimées sont faibles en race pure (h²NbNv=0,12 ± 0,01 et h²NbMn=0,11 ±0,01%-) et en croisement (h²NbNv=0,07 ± 0,01 et h²NbMn=0,06 ± 0,01). Des corrélations génétiques élevées (rg > 0,90) ont été estimées entre la performance exprimée en race pure et en croisement. Ce résultat confirme que le progrès génétique cumulé dans le schéma de sélection de race pure est pour l’essentiel transféré à la truie croisée sur les critères de reproduction. Une étude de validation croisée suggère que l’intégration de cet échantillon de performances en croisement dans l’évaluation génomique de race pure permettrait d’obtenir un gain de fiabilité (CD) modéré des index génomiques des candidats à la sélection. Ce gain de CD d’environ 2 points de pourcentage correspondrait à une augmentation de 10% de la fiabilité actuelle des index.

Interest of crossbred sow performance for the selection of reproduction traits in the purebred Large White maternal line

The objective of this study was to evaluate benefits of use of Large White x Landrace sow reproduction performance for genomic evaluation of the French Large White (LW) dam line. The performances of 24 771 crossbred sows (103 305 litters) used on production farms from 2007-2017 were analysed along with those of 24 377 purebred LW sows used during the same period (69 415 litters). Two traits were considered: the number of live born piglets (NbNv) and the number of stillbirths (NbMn). The purebred and crossbred performances were analysed as two different traits that are genetically correlated. Variance components were estimated for each breed by Gibbs Sampling using five generations of pedigree to construct relationship matrices and integrate the genomic information of 1 439 LW breeding animals. Estimated heritabilities were low for purebred (h²NbNv= 0.12 ± 0.01 and h²NbMn=0.11 ± 0.01) and crossbred performances (h²NbNv= 0.07 ± 0.01 and h²NbMn=0.06 ± 0.01). For both traits, high genetic correlations (rg > 0.90) were estimated between purebred and crossbred performances. This result confirms that most of the genetic progress cumulated in purebred parental lines should be transferred to the crossbred sows. A cross-validation study suggested that integration of crossbred performances into the purebred genomic evaluation could provide a slight increase in reliability of the genomic indices for selection candidates. This increase in index reliability of approximately 2 points of percentage would correspond to a 10% increase compared to the current reliability of the indices.

2019

Modélisation du besoin en calcium et variations du rapport phosphocalcique de l’aliment selon le niveau de performance de la truie reproductrice

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51es Journées de la Recherche Porcine, 5 et 6 février 2019, Paris, p. 141-152, par Nathalie Quiniou et al.

Le coût élevé des sources de phosphore et l’impact d’un apport en excès de cet élément sur l’environnement conduisent à restreindre les apports en phosphore aux besoins chez la truie reproductrice. Au contraire, les sources de calcium sont peu onéreuses et, en l’absence de contrainte de teneur maximale sur cet élément, sa teneur peut être assez élevée dans les aliments. Phosphore et calcium doivent pourtant être apportés de façon équilibrée. Un modèle est proposé pour estimer les besoins en calcium de la truie reproductrice sur la base des connaissances disponibles, beaucoup plus limitées pour cet élément que pour le phosphore. Dès l’étape de l’absorption digestive, plusieurs systèmes opérationnels et des tables de valeurs permettent de raisonner l’apport en phosphore sur une base digestible, mais ce n’est pas encore le cas pour le calcium. Une hypothèse de digestibilité est donc appliquée dans le modèle pour estimer le besoin en calcium total, qui devra être actualisée (de même que le calcul du besoin d’entretien) dès que les tables de valeurs des matières premières permettront de formuler les aliments sur la base du calcium digestible. Cette réserve étant posée, le modèle est utilisé pour quantifier le besoin selon le stade physiologique de la truie et son niveau de production (prolificité, production de lait). En l’absence de prise en compte du degré de minéralisation osseuse, il ne peut cependant pas être utilisé pour simuler les effets d’une carence en l’apport de l’un ou l’autre minéral.

Modelling calcium requirement and variation in dietary calcium:phosphorus ratio with performance level of the reproductive sow

Due to the cost of dietary phosphorus supplements and consequences of phosphorus supplied in excess on the environment, a strong trend towards improved adequacy between its supplies and requirements has been observed for a while in reproductive sows. Conversely, calcium supplements are presently inexpensive, and dietary calcium content is not limited by any regulation. As calcium and phosphorus interact in the digestive tract and in their metabolism, their supplies need to be balanced. Based on available literature on phosphorus (large) and calcium (scarce), a model was developed that assesses calcium requirements in reproductive sows. Phosphorus can be supplied on a digestible basis with reference to available systems and tables of nutritive values of feedstuffs, but this is not presently the case for calcium. Consequently, different hypotheses for calcium digestibility are used in the model, which will need to be updated (as will the definition of the maintenance requirement) as soon as the feedstuff tables have been documented with this criterion. Given this limitation, the model is used to investigate the effect of physiological stage and productivity level (prolificacy, milk production) on the daily requirement of total calcium. As the degree of bone mineralisation is not considered, the model cannot be used to simulate consequences of inadequate supplies of calcium or phosphorus.

2019

Modélisation de l'évolution moyenne du poids vif après la mise bas selon l'âge chez des truies croisées Large White x Landrace

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51es Journées de la Recherche Porcine, 5 et 6 février 2019, Paris, p. 123-128, par Nathalie Quiniou

Le rang de portée et l'épaisseur de lard dorsal au début de la gestation sont deux critères utilisés par de nombreux éleveurs pour grouper les truies et choisir le niveau de rationnement appliqué à l'échelle de la case ou de l'individu. Ignorer la variabilité du poids vif et de l'âge à un rang de portée donné peut induire un accroissement de l’hétérogénéité dans l'état des réserves entre truies d’une même bande. Mieux ajuster la ration à la dynamique des changements de poids au cours de la carrière de la truie implique de peser les truies et de définir l’objectif de poids vif en fin de gestation en fonction de l'âge. A partir des données obtenues en station expérimentale sur 90 truies Large White x Landrace, nées entre 2012 et 2015 et suivies sur au moins six cycles, plusieurs modèles de croissance sont étudiés pour modéliser l’évolution du poids après la mise bas (PV) en fonction de l’âge (t). La précision de prédiction (hors primipares) est environ de 15 kg quand le poids (P1i) et l’âge (t1i) individuel à la première mise bas sont pris en compte (e.g. modèle de Weibull : P1i + (326,3 – P1i)(1 - exp(-(2,288/1000 x (t – t1i))1,041))) contre environ 16 kg quand ce n'est pas le cas (e.g. modèle de Brody : 331,4 x (1 - 0,821 x exp(-2,121/1000t))). L’évaluation de ces équations à partir de trois autres jeux de données obtenues dans le même élevage indique une évolution du PV avec l'âge similaire à celle du jeu initial. Le calibrage d’un modèle adapté à chaque élevage de production sera possible dans un futur proche dès lors que les truies seront pesées avec des bascules automatiques, développées dans une optique d’élevage de précision.

Modelling the relationship between body weight and age at farrowing in Large White x Landrace sow

Parity and backfat thickness are frequently used by farmers to group gestating sows and thereafter choose a feeding plan at the pen- or individual-scale. At a given parity, ignoring differences in body weight with age contributes to the increase in variability of body reserves at farrowing. Therefore, improving the adequacy of the feed allowance relies on better knowledge of the dynamic change in body weight over the productive lifetime. Data collected routinely on an experiment station from 90 crossbred Large White x Landrace sows were used to characterise the relationship between individual age (t) and body weight after farrowing (BW). Sows were born from 2012-2015 and studied over at least six parities. Accuracy of the prediction (without primiparous sows) was around 15 kg when the individual BW (P1i) and age (t1i) at first parity were considered (e.g., Weibull model: P1i + (326.3 – P1i)(1 - exp(-(2.288/1000 x (t – t1i))1.041))), otherwise 16 kg (e.g., Brody model : 331.4 x (1 – 0.821 exp(-2.121/1000t))). Models were evaluated using three other datasets obtained within the same herd from sows born over a period of 12 years. Relationships between BW and age obtained from these datasets were relatively similar to those of the initial dataset. It appeared that the more homogeneous the herd was, the more accurate was the prediction. Calibration of such models for a commercial herd should be possible in the near future from automatic BW measurement, using tools developed in the context of precision farming.

2019

Analyse des facteurs de variation de la longévité des truies en élevage à partir de quatre nouveaux critères

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51es Journées de la Recherche Porcine, 5 et 6 février 2019, Paris, p. 47-48, par Brigitte Badaourd et al., poster

Poster. 

La longévité des truies en élevage dépend à la fois de leurs performances, principalement en début de carrière, des risques d’accidents et des choix de conduite de l’éleveur. Les réformes prématurées ont un impact économique important (Morin et Thériault, 2005 ; Boulot et al, 2012), mais les enjeux sanitaires, et sociétaux sont également à prendre en compte. L’objectif de cette étude est de proposer différents critères de mesure de la longévité des truies et d’identifier leurs facteurs de variation en conditions d’élevage.

Analysis of factors associated with sow longevity on farms using four new criteria

The aim of this study was to analyse the longevity of sows in French herds to identify animal and farm factors associated with productive life performance. Information about individual careers was extracted from the French National Pig Management database (GTTT) for sows and gilts culled in 2015. Data were subjected to quality tests (age at culling, at first farrowing, etc.) after exclusion of certain herds: <50 sows or non-steady herds, located overseas, selection and multiplication herds, organic farms, or with specific signs of quality. Final analysis included 155 633 sows housed in 1 720 conventional farms. Longevity criteria were calculated per sow during its entire productive life: cumulative numbers of weaned litters and piglets (total born, born alive and weaned) and a score indicating whether 3 litters were reached or not (0/1). The number of litters weaned at culling varied from 0-20 (mean = 4.84 ± 2.96), with 8% and 26% culled before the 1rst and 3rd litter, respectively. The cumulative number of total born (70), born alive (60) and weaned piglets (55) varied greatly within parity ranks at culling. Univariate analysis showed several individual sow traits were significantly associated with all longevity criteria: genetics, origin, and age at 1st farrowing. Some farm factors also had significant effects: feed consumption/sow/year, group housing management, and flooring.

2019

Analyse des facteurs de variation de la longévité des truies en élevage à partir de quatre nouveaux critères

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Poster présenté par Brigitte Badouard et al., aux 51es Journée de la Recherche Porcine, 5 et 6 février 2019

La longévité des truies en élevage dépend à la fois de leurs performances, principalement en début de carrière, des risques d’accidents et des choix de conduite de l’éleveur. Les réformes prématurées ont un impact économique important, mais les enjeux sanitaires, et sociétaux sont également à prendre en compte. L’objectif de cette étude est de proposer différents critères de mesure de la longévité des truies et d’identifier leurs facteurs de variation en élevage.

PDF icon Brigitte Badouard et al., 51e JRP, 5 et 6 février 2019, poster
2019

Reproductrices : quels sont les facteurs de leur longévité ?

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Brigitte Badouard, Porc Mag (FRA), 2019, n° 540, mars, p. 23

Après l’étude des résultats nationaux GTTT 2015, l’Ifip constate que la longévité des truies en élevage dépend de leurs performances, surtout en début de carrière, des risques d’accidents et  des choix de conduite de l’éleveur. Détails.

2019

Une distribution de précision à sec en maternité

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Yvonnick Rousselière, Réussir Porc-Tech Porc (FRA), 2019, n° 266, février-mars, p. 41

Pour connaître précisément les quantités d’aliment distribuées aux truies et répondre à des besoins expérimentaux, l’Ifip et Asserva ont conçu un dispositif de distribution qui ne mélange pas l’eau et l’aliment.

PDF icon Yvonnick Rousselière, Réussir Porc-Tech Porc (FRA), 2019, n° 266, février-mars, p. 41
2019

Salivary and urinary metabolome analysis for pre-puberty-related biomarkers identification in porcine

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Gylène Gaudet et al., Animal, 2018, 5 septembre, 11 pages

Estrus synchronization is important for optimal management of gilt reproduction in pig farms. Hormonal treatments, such as synthetic progestogens, are used on a routine basis, but there is a growing demand for non-hormonal alternative breeding tools. Before puberty, gilts exhibit a 'waiting period,' related to the ovarian development and gonadotrophin secretions, during which external stimulations, such as boar exposure, could induce and synchronize first ovulation. Practical non-invasive tools for identification of this period in farms are lacking. During this period, urinary oestrone levels are high, but urine sampling is difficult in group-housed females. The aim of this work was to search for specific biomarkers of the 'waiting period' in saliva and urine. In total, nine 144- to 147-day-old Large White gilts were subjected to trans-abdominal ultrasonography three times a week for 5 weeks until puberty detection (week -5 to week -1 before puberty). Urine and saliva samples were collected for oestrone assay to detect the 'waiting period' and for metabolome analysis using 1H-nuclear magnetic resonance spectroscopy to detect potential biomarkers of the 'waiting period.' Gilts were slaughtered 7 days after puberty detection for puberty confirmation. Results were consistent with ultrasonography data for six gilts. Urine and saliva samples from these six gilts were analyzed. Urinary estrone concentration significantly increased 2 weeks before puberty detection. Metabolome analysis of urine samples allowed the identification of 78 spectral bins, among them, 42 low-molecular-weight metabolites were identified. Metabolome analysis of salivary samples allowed the identification of 59 spectral bins, among them, 23 low-molecular-weight metabolites were detected and 17 were identified. No potential biomarker was identified in urinary samples. In saliva, butyrate and 2HOvalerate, 5.79 ppm (putatively uridine), formate, malonate and propionate could be biomarker candidates to ascertain the pre-puberty period in gilt reproduction. These results confirm that non-invasive salivary samples could allow the identification of the physiological status of the gilts and presumably the optimal time for application of the boar effect. This could contribute to synchronize puberty onset and hence to develop non-hormonal breeding tools.

2018

« Mon registre de traitements en un clic »

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Alexandre Poissonnet, Réussir Porc-Tech Porc (FRA), 2018, n° 261, septembre, p. 68-69

Geoffrey Melot est formateur en production porcine et animateur Airfaf Normandie au centre de formation de Canappeville, dans l’Eure. Également salarié au sein de l’élevage de 280 truies NE du centre, il souhaite informatiser le registre des traitements vétérinaires.

PDF icon Alexandre Poissonnet, Réussir Porc-Tech Porc (FRA), 2018, n° 261, septembre, p. 68-69
2018

Retrospective by sex of the new EU lean meat content of pig carcasses

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Gérard Daumas, 69th Annual meeting of the european federation of animal science (EAAP), Dubrovnik, Croatie, 27-31 août 2018, poster

A new EU regulation on carcass classification applies from July 2018. This regulation changes the definition of the reference lean meat percentage (LMP) which becomes the LMP in the carcass (from total dissection). Nevertheless, each Member State can choose when he will update its grading methods. The aim of this work is to simulate this change on the last 5 years in France for each sex.
Conversely to most of European countries sex is registered online in France during pig classification. Statistics per sex are regularly published by the regional classification organisations.
The production of entire males started in France in 2013 (13% of the males), increased quickly and is now stable (27% of the males in 2017), around 2.5 million a year. More than 95% of entire males are classified with the classification method CSB Image-Meater® (IM) approved by the EU in 2013. The present LMP prediction equation contains two fat depths (G3 and G4) and two muscle depths (M3 and M4).
A sample of 180 pigs was uniformly stratified on sex: 60 entire males, 60 females and 60 castrated males. All cuts were CT scanned allowing to calculate the LMP. Prediction equation was calculated by a general linear model including the 4 depths as well as the interactions with sex. The stepwise procedure by using BIC selected a model with 1 fat depth (G3) and 2 muscle depths (M3 and M4), G3 and M3 coefficients depending on sex. The RMSE was 2.15. Removal of M4 only decreased the RMSE of 0.01. The fat coefficient of entire males was more than twice that of females, while that of castrates was in the middle. Differences on M3 coefficient had lower impact on LMP.
The equation was applied on the annual classification averages from 2013 to 2017. In 4 years LMP increased, but differently according to sex: +0.11 for entire males, +0.25 for females and +0.34 for castrated males. In the same period the difference between entire and castrated males decreased from 4.02 to 3.79, while the difference between entire males and females decreased from 1.37 to 1.24.
When the Image-Meater method will be updated, it seems worthwhile to consider separate slopes for entire males, females and castrated males.

PDF icon Gérard Daumas, 69th EAAP, Dubrovnik, Croatie, 27-31 août 2018, abstract, PDF icon Gérard Daumas, 69th EAAP, Dubrovnik, Croatie, 27-31 août 2018, poster
2018

Relationship between age and body weight at farrowing over 6 parities in Large White × Landrace sow

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Nathalie Quiniou, 69th Annual meeting of the european federation of animal science (EAAP), Dubrovnik, Croatie, 27-31 août 2018 

At the beginning of the gestation, parity and back fat (BT) thickness are frequently used by farmers to choose among different feeding plans the most adapted one to feed each sow if individual feeding is possible. Otherwise, BT is used to allocate the sows to one of the available pens and to adapt the feed allowance at the group level. Usually a single target of BT at farrowing is retained at the herd scale, and each sow is expected to make up its BT for the difference between the target and its own initial BT. According to the factorial approach used to assess nutrient requirements, achieving an expected BT gain implies that enough energy is supplied above maintenance. Based on equation published by Dourmad et al., expected energy retention is obtained by the difference between the initial (calculated from measured BT and BW) and the final amount of energy (calculated from expected BT and BW).
When no information is collected on BW during the gestation, the expected final BW is also used to assess daily BW and corresponding maintenance requirement and to take into account impacts of housing conditions (temperature, activity level). Then, adequacy of the energy supply depends not only on initial and final BT, but also on initial BW and final BW. Individual BW have been collected over successive parities in the IFIP facilities (n=6,288 from Large White × Landrace sows born since 2000). Data of 90 sows born between 2012 and 2015, studied over at least 6 parities and group-housed from the 28th to the 108th day of gestation, were used to characterize the relationship between age and BW after farrowing based on BW at the first farrowing (BW_P1) and BW gain afterwards, with BW at the 6th parity considered as the mature BW: BWi(Age), kg = 145.6 + 0.171 × Age_P1i+ 111.4 × (1 – exp(- 1.453/1000 × (Age-Age_P1i)1.084)), RMSEP=16 kg; with Age_P1i: the individual age at the first farrowing used to adjust the mean BW_P1. Based on this equation, the individual expected BW gain (both growth and recovering parts) can be calculated and, combined with BT gain, used to assess the corresponding energy requirement for precision feeding during gestation. Its calibration for other lines or farms will require specific measurements due to interactions with management.

PDF icon Nathalie Quiniou, 69th EAAP, Dubrovnik, Croatie, 27-31 août 2018, visuels
2018

Description and consequences of variability in sows and piglets

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Nathalie Quiniou et al., 69th Annual meeting of the european federation of animal science (EAAP), Dubrovnik, Croatie, 27-31 août 2018

Even though animals are from the same genetic line, farmers have to cope with variability both in sows and piglets.
In sows, variability is observed in traits such as parity, prolificacy, appetite, body weight (BW) and back fat thickness (BF). For instance, at the beginning of gestation, variability in body condition among sows can be high due to parity and age. In addition, at a given age, variability in litter size, milk potential, and appetite results in different nutrient requirements and consequently in variability of changes in maternal body reserves. Variability in BF can be a problem as several studies have indicated that too high or too low BF values are to be avoided at farrowing as well as at weaning. In both cases, the longevity of the sow is impaired, and farmers are advised to manage the sows toward a target BF depending on the physiological stage, associated with an age-dependant BW, increasing with age up to mature BW. In addition, variation in sow’s body condition at farrowing and in prolificacy influences the new born and weaning piglet traits. Compared to less prolific sows, high-prolific sows farrow more piglets, which are both lighter on average and more heterogeneous. Compared to normal birthweight piglets, the survival rate of low birth weight piglets is lower. Providing additional care around birth helps these piglets to survive, but subsequent housing and feeding management have to be adapted to deal with the variability in their growth potential. Nutritional strategies (based on modelling approaches that take into account criteria that influence requirements) are suggested to optimise the expression of the animals’ potential, but most often without an intention to reduce inter-individual variability in growth performance. In order to control or reduce variability, other solutions have been evaluated in experimental studies that focus on the level and the dynamic of the feeding plan and the quality of the diet. The challenge is now to validate these solutions in production units, which will be more or less easy depending on the existing housing and feeding systems, and the economic, welfare and environmental context.

PDF icon Nathalie Quiniou et al., 69th EAAP, Dubrovnik, Croatie, 27-31 août 2018
2018

Relationship between age and body weight at farrowing over 6 parities in Large White × Landrace sow

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Nathalie Quiniou, 69th Annual meeting of the european federation of animal science (EAAP), Dubrovnik, Croatie, 27-31 août 2018 

At the beginning of the gestation, parity and back fat (BT) thickness are frequently used by farmers to choose among different feeding plans the most adapted one to feed each sow if individual feeding is possible. Otherwise, BT is used to allocate the sows to one of the available pens and to adapt the feed allowance at the group level. Usually a single target of BT at farrowing is retained at the herd scale, and each sow is expected to make up its BT for the difference between the target and its own initial BT. According to the factorial approach used to assess nutrient requirements, achieving an expected BT gain implies that enough energy is supplied above maintenance. Based on equation published by Dourmad et al., expected energy retention is obtained by the difference between the initial (calculated from measured BT and BW) and the final amount of energy (calculated from expected BT and BW).
When no information is collected on BW during the gestation, the expected final BW is also used to assess daily BW and corresponding maintenance requirement and to take into account impacts of housing conditions (temperature, activity level). Then, adequacy of the energy supply depends not only on initial and final BT, but also on initial BW and final BW. Individual BW have been collected over successive parities in the IFIP facilities (n=6,288 from Large White × Landrace sows born since 2000). Data of 90 sows born between 2012 and 2015, studied over at least 6 parities and group-housed from the 28th to the 108th day of gestation, were used to characterize the relationship between age and BW after farrowing based on BW at the first farrowing (BW_P1) and BW gain afterwards, with BW at the 6th parity considered as the mature BW: BWi(Age), kg = 145.6 + 0.171 × Age_P1i+ 111.4 × (1 – exp(- 1.453/1000 × (Age-Age_P1i)1.084)), RMSEP=16 kg; with Age_P1i: the individual age at the first farrowing used to adjust the mean BW_P1. Based on this equation, the individual expected BW gain (both growth and recovering parts) can be calculated and, combined with BT gain, used to assess the corresponding energy requirement for precision feeding during gestation. Its calibration for other lines or farms will require specific measurements due to interactions with management.

PDF icon Nathalie Quiniou, 69th EAAP, Dubrovnik, Croatie, 27-31 août 2018
2018

Analyse et maîtrise des pertes en maternité

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Sylviane Boulot, bilan 2017, éditions IFIP, mai 2018, p. 105

Avec en moyenne 20% de pertes sur nés totaux, la mortalité des porcelets en maternité reste une préoccupation majeure, tant pour des raisons économiques que d’acceptation sociétale. La détermination précise du stade et des causes de mortalité est essentielle pour en identifier les axes de progrès dans chaque élevage. Ainsi la mortinatalité peut être importante (36% des pertes) mais varie selon les troupeaux. Les pertes pendant la phase d’allaitement dépendent quant à elles de nombreux facteurs liés à la conduite et leur analyse doit reposer sur une approche multifactorielle.

PDF icon Sylviane Boulot, bilan 2017, éditions IFIP, mai 2018, p. 105, fiche n° 62
2018

Eff ets de l’incorporation de pulpes de betteraves dans l’aliment d’engraissement

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Didier Gaudré, bilan 2017, éditions IFIP, mai 2018, p. 111

Du fait de la fin des quotas appliqués à la production de sucre, la culture de la betterave est appelée à se développer fortement et, avec elle, la disponibilité en coproduits de la betterave pour l’alimentation des animaux. En alimentation porcine, les pulpes de betteraves constituent le principal coproduit utilisé ; il est notamment incorporé dans les aliments pour truies et se rencontre aussi parfois dans les aliments pour porcelets. Cette matière première représente de fait une source d’énergie intéressante, tout en apportant aux truies des fibres très digestibles ; elle permet à cet égard de satisfaire les besoins en fibres des truies voire de maintenir un niveau suffisant de fibres dans les aliments de gestation et de lactation. Son utilisation dans les aliments pour porcelets est liée à sa capacité de participer au développement des segments distaux de l’intestin et de contribuer ainsi à la santé digestive des animaux au moment du sevrage.
Dans un contexte prévisible de disponibilités croissantes de cette matière première, l’étude a consisté à évaluer l’intérêt de l’incorporation de cette matière première dans les aliments pour porcs à l’engrais.

PDF icon Didier Gaudré, bilan 2017, éditions IFIP, mai 2018, p. 111, fiche n° 68
2018

Un diagnostic en un coup d’oeil : l’appli PorciSanté

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Yvonnick Rousselière, Sylviane Boulot, Didier Gaudré, Anne Hémonic et Nathalie Quiniou, bilan 2017, éditions IFIP, mai 2018, p. 32

Début 2017, l’Ifip lançait un nouvel outil d’autodiagnostic basé sur le simple sens de l’observation de l’utilisateur : BâtiSanté. Il s’agissait d’une appli pour smartphone gratuite, disponible sous Android, permettant (1) de réaliser un autodiagnostic en élevage des facteurs de risque relatifs aux bâtiments ou aux équipements, ayant un lien avec la santé des animaux et (2) de suggérer des actions correctrices appropriées. Suite au succès de ce nouveau format à la fois simple, ludique mais précis sur les notions techniques à maîtriser, l’Ifip a donné un frère jumeau à BâtiSanté : PorciSanté.
Ce nouvel outil reprend les codes et le mode de fonctionnement du BâtiSanté mais s’attache cette fois aux liens existant entre la qualité des interventions sur les animaux et leur état de santé.

PDF icon Yvonnick Rousselière et al., bilan 2017, éditions IFIP, mai 2018, p. 32, fiche n° 7
2018

L’Ifip affine les plafonds d’aliment

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Nathalie Quiniou, Réussir Porc - Tech Porc (FRA), 2018, n° 258, mai, p. 32-33

Un suivi précis des porcs en engraissement avec un système d’alimentation individualisé démontre qu’un plafond de 2,7 kg rationne les mâles, mais pas les femelles.

PDF icon Nathalie Quiniou, Réussir Porc - Tech Porc (FRA), 2018, n° 258, mai, p. 32-33
2018

Quels indicateurs et outils simples peut-on mettre en place en élevage pour évaluer le bon déroulement des mise-bas?

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Visuels d'intervention présentés par Sylviane Boulot, aux Colloques Bien-être animal, 12-14 décembre 2017, Rennes, France

 

PDF icon Sylviane Boulot, Colloques Bien-être animal, 12-14 décembre 2017, Rennes, France
2018

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