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Estimation by vision of pork cuts composition for sex and halothane genotype subpopulations

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Gérard Daumas et Mathieu Monziols, 63e International Congress of Meat Science and Technology, Cork, Irlande, 13-18 août 2017, p. 52-53

This work aims to quantify the systematic deviations for sex and halothane genotype subpopulations in the estimation by automatic vision of pork cuts composition. A sample of 208 carcasses, startified according to sex (50% castrated males and 50% females), was measured on line by the classification method CSB Image-Meater® (IM). An ear sample was analysed for halothane gene (Hal). The left sides were cut according to the EU procedure and the four main cuts were CT scanned  in order to determine the lean meat percentage (LMP) in each cut. These LMPs were regressed on six IM potential predictors and the carcass weight. For each equation were calculated the systematic deviations per level of the sex and Hal factors by mean difference between predicted and observed values. The absolute deviation per sexual types was the lowest (0.5%) in ham and the highest (1.4%) in belly. The deviations per Hal genotype ranged from 0.3% in shoulder to 0.8% in belly. In all models females and Hal heterozygotes were underestimated and vice-versa. The deviations per Hal genotype were about the half than per sex. The deviations per sex could be removed by at least a different intercept in the prediction equations.

PDF icon Gérard Daumas et Mathieu Monziols, 63e ICOMST, Cork, Irlande, 13-18 août 2017, p.
2017

Vision versus reflectance technology for deviations for sex and halothane genotype in pig carcass classification

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Gérard Daumas et al. 63e International Congress of Meat Science and Technology, Cork, Irlande, 13-18 août 2017, p. 50-51

This work aims to compare the systematic deviations for sex and halothane genotype subpopulations between pig classification methods by automatic vision and semi-automatic relfectance. A sample of 209 carcasses, stratified according to sex (50% castrated males and 50% females), was measured by CSB Image-Meater® (IM) and CGM. An car sample was analysed for halothane gene (Hal). The left sides were cut according to the EU procedure and the four main cuts were weighed and scanned by X-ray tomography in order to detemrine lean meat percentage (LMP). For each device the LMP was regressed on the fat and muscle depths included in the official equations. For each equation were calculated the systematic deviations per level of the sex and Hal factors by mean difference between predicted and observed values. The LMP overestimation for castrated males increased from 0.4% with CGM to 0.7% with IM. The LMP overestimation for non-sensitive homosygotes Hal, not significant with CGM, rose to 0.5%. Systematic deviations for sexual types could be cancelled at least by a differentiated offset in the prediction equation.

PDF icon Gérard Daumas et al. 63e ICOMST, Cork, Irlande, 13-18 août 2017, p. 50-51
2017

Conséquences de l’automatisation du classement des carcasses sur les écarts entre types sexuels et génotypes halothane

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Gérard Daumas et  al., 49es Journées de la Recherche Porcine, Paris, 31 janvier et 1er février 2017, poster

L’automatisation du classement des carcasses à la mi-2013 s’est accompagnée d’un changement de localisation des épaisseurs mesurées.
Les épaisseurs mesurées sur le dos, latéralement à la fente, ont laissé place à des épaisseurs mesurées à la jonction jambon-longe, sur la fente.
Les écarts entre sous-populations, dont la connaissance est d’un grand intérêt dans la fi lière, ont donc été modifi és. L’objectif de ce travail était de quantifier, pour les méthodes de classement CGM et CSB Image-Meater® (I-M), ces écarts entre types sexuels et génotypes halothane, facteurs connus pour leur importance sur la composition corporelle.

PDF icon Gérard Daumas et al., 49es JRP, Paris, 31 janvier et 1er février 2017, poster
2017

Vision versus reflectance technology for deviations for sex and halothane genotypes in pig carcass classification

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Gérard Dumas et Mathieu Monziols, 63e International Congress of Meat Science and Technology, Cork, Irlande, 13-18 août 2017, poster

Automation of pig carcass classification entailed a change in the location of the measured variables. Since mid-2013 in France the thicknesses measured on the back, laterally to the splitline, were replaced by thicknesses measured at the ham-loin junction on the splitline. Systematic deviations by sub-population, whose knowledge is of great interest in the chain, have thus been modified. The objective of this work was to quantify the systematic deviations related to sex and halothane genotype factors for CGM and CSB Image-Meater® classification methods, well known for their effects on carcass composition.

PDF icon Gérard Dumas et Mathieu Monziols, 63e ICOMST, Irlande, 13-18 août 2017, pos
2017

Vision versus reflectance technology to estimate pork cuts composition

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Gérard Dumas et Mathieu Monziols, 63e International Congress of Meat Science and Technology, Cork, Irlande, 13-18 août 2017, poster

Sorting meat cuts is an ongoing challenge. Many pork plants use weighing and carcass grading information for pre-sorting. Automation of pig carcass classification entailed a change in the location of the measured variables. Since mid-2013 in France the thicknesses measured by reflectance (CGM) on the back, laterally to the splitline, were replaced by thicknesses measured by vision (CSB Image-Meater®) at the ham-loin junction on the splitline. The objective of this work was to compare the precision of these two classification methods to predict the proportion of muscle in the main cuts.

PDF icon Gérard Dumas et Mathieu Monziols, 63e ICOMST, Cork, Irlande, 13-18 août 2017
2017

Prediction of drip loss and ultimate pH in pork Semimembranosus by the NitFom™

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Antoine Vautier et al., 63e International Congress of Meat Science and Technology, Cork, Irlande, 13-18 août 2017, poster

A majority of studies dealing with Near InfraRed Spectroscopy (NIRS) prediction of meat quality are focusing on its chemical composition, but the ability of NIRS to predict technological quality of meat has been the subject of many recent publications. This technology gives a quick access to spectral pattern that can also be linked to the water holding capacity of meat. However, very few NIRS devices are suitable for industrial implementation. In this study, a feasibility test was carried out to evaluate the possibility of predicting drip loss and ultimate pH in pork Semimembranosus using the NitFom™, a NIRS-based handheld invasive probe suitable for rapid on line measurements in pork carcasses immediately after slaughter.

PDF icon Antoine Vautier et al., 63e ICOMST, Cork, Irlande, 13-18 août 2017, poster
2017

Pork cuts composition measured by scanner as infl uenced by sex and halothane genotype

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Gérard Dumas et Mathieu Monziols, 63e International Congress of Meat Science and Technology, Cork, Irlande, 13-18 août 2017, poster

Knowledge of the main factors infl uencing the cuts composition can help both sorting cuts and designing composition experiments. Sex and
halothane gene, well known for their effects on carcass composition, also deserve to be studied on cuts. The aim of this work is to study the sex
and halothane gene effects on the proportions of tissues in the four main pork cuts: ham, shoulder, loin and belly. Composition was determined by
scanner, a modern technique, which has recently been intensively studied in the COST action FAIM (Farm Animal Imaging).

PDF icon Gérard Dumas et Mathieu Monziols, 63e ICOMST, Cork, Irlande, 13-18 août 2017, pos
2017

Estimation by vision of pork cuts composition for sex and halothane genotype subpopulations

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Gérard Dumas et Mathieu Monziols, 63e International Congress of Meat Science and Technology, Cork, Irlande, 13-18 août 2017, poster

The meat industry is interested in the prediction of the cut yields in order to drive the cutting as effi ciently as possible. These yields can be predicted
with the variables used in the compulsory task of carcass weighing and grading. Nevertheless, the factors having an effect on carcass grading could
have a different effect on the cut grading, specifi c to each cut. This work aims to quantify the systematic deviations for sex and halothane genotype
subpopulations in the estimation of pork cuts composition by the automatic vision system called CSB Image-Meater® .

PDF icon Gérard Dumas et Mathieu Monziols, 63e ICOMST, Cork, Irlande, 13-18 août 2017, pos
2017

Consequences of the future EU regulation on pig carcass classification

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Gérard Dumas et Mathieu Monziols, 63e International Congress of Meat Science and Technology, Cork, Irlande, 13-18 août 2017, poster

A new EU regulation on classification of beef, pig and sheep carcasses was published in July 2017 and shall apply from 11 July 2018.

For pig carcasses the reference of lean meat percentage, based on partial dissection (LMPPD) since 2006, will be replaced by a lean meat percentage based on total dissection (LMPTD). Manual total dissection can be replaced by CT virtual dissection of half carcasses if adjusted.

Sample should be stratified, but the minimal size would be 10 carcasses. The aim of this paper is to assess the main consequences of this future EU regulation on pig carcass classification.

PDF icon Gérard Daumas et Mathieu Monziols, 63e ICOMST, Cork, Irlande, 13-18 août 2017
2017

Vers un observatoire de la qualité des viandes françaises?

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Oui, le suivi de la qualité de viande est important pour la filière :

  • Évaluation du progrès / quantification des problèmes
  • Collecte de données pH INAPORC: mise en évidence d’élevages aux résultats différenciés (inférieur vs supérieur)

Etude INAPORC en cours : enquêtes en élevages pour la recherche de facteurs amonts d’influence sur le pH 24

Déficit en données représentatives de qualité de viande : Données IFIP: milieu industriel, mais maitrise préparation à l’abattage

PDF icon intervention de A Vautier à la journée quizz qualité des viandes de janvier 2017
2017

Quelles sont les exigences qualitatives propres à la demande française de charcuteries supérieures. Comment le code des usages encadre ces exigences ?

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Une exigence sur la qualité des viandes :
- Des viandes destinées à la transformation
    De haute qualité pour la transformation
    Maigres pour répondre aux attentes consommateurs
- Des viandes fraîches
    Non exsudatives
    Tendres malgré leur faible niveau de lipides intra musculaires

PDF icon intervention de G Nassy à la journée quizz qualité des viandes janvier 2017
2017

Quelles nouvelles technologies pour prédire la qualité technologique?

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Pourquoi s’intéresser à des alternatives au pH?
pH-métrie: certaines contraintes

  • Perturbation possible par l’environnement industriel
  • Effet opérateur possible
  • Délai post mortem: 18h mini

Alternatives possibles:

  • NIRS: pas d’effet d’environnement / effet opérateur négligeable
  • Visionique / hyperspectrale: mesure sans contact / automatisable
  • Spectroscopie RAMAN: prédiction précoce de la qualité technologique (30 min. post mortem)
PDF icon intervention de Antoine Vautier à la journée quizz qualité des viandes de janvier 2017
2017

Urinary signature of pig carcasses with boar taint by liquid chromagraphy-high resolution mass spectrometry

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Cristina C. Jacob et al., Food Additives & Contaminants : Part A, version pas encore finalisée, 29 pages

Boar taint is an offensive odor that can occur while cooking pork or pork products and is identified in some uncastrated male pigs that have reached puberty. It is widely held that boar taint is the result of the accumulation in back-fat of two malodorous compounds: androstenone and skatole. The purpose of the present study was to assess a mass spectrometry-based metabolomics strategy to investigate the metabolic profile of urine samples from pig carcasses presenting low (untainted) and high (tainted) levels of androstenone and skatole in back fat. Urine samples were analyzed by LC-ESI(+)-HRMS. Discrimination between tainted and untainted animals was observed by application of multivariate statistical analysis, which allowed to highlight candidate urinary biomarkers. These urinary metabolites were positively correlated to androstenone and skatole levels in back fat. Therefore, the present study suggested that the measurement of these urinary metabolites might provide information with regard to androstenone and skatole levels in live pigs.

2017

Modulab, un abattoir "clé en main"

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Patrick Chevillon, Porc Mag (FRA), 2016, n° 515, décembre, p. 33

Innovation. Un abattoir de petite taille livré "clé en main", le Modulab, a été conçu pour répondre aux besoins des éleveurs indépendants ou en circuits courts et des artisans bouchers-charcutiers.

2016

MODULAB un abattoir moderne de petite taille livré clé en main

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Modulab a été conçu pour répondre aux besoins des éleveurs indépendants, artisans bouchers-charcutiers et circuits courts. Il rassemble l’expertise de 3 partenaires à l’origine du projet, 2 entreprises bretonnes : Agrocept et Couédic Madoré ainsi que l’Ifip, avec le soutien de la région Bretagne. 

PDF icon dossier-modulab-ifip.pdf
2016

« Comment améliorer la qualité technologique des viandes issues de la filière porcine française ? »

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Mardi 17 janvier 2017 de 9h40 à 16h50 à Rennes Amphithéâtre Camille Moule - AgroCampus Ouest, en visioconférences avec les sites de l’IFIP à Paris et Toulouse
 

PDF icon voir le programme journée qualité technologique des viandes de porc le 17/01/2016
2016

Estimation des pertes alimentaires dans la filière porcine entre la sortie de l’élevage et la commercialisation des produits

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Jean-Yves Dourmad et al., Innovations agronomiques (FRA), 2015, volume 48, décembre, p. 115-125

La réduction des pertes alimentaires constitue un enjeu majeur dans un contexte de ressources limitées et d'une demande mondiale qui s'accroit. Cette présentation rapporte les principaux résultats d'un travail consacré à l'estimation des pertes dans la filière porcine. Le premier poste de perte concerne les mortalités durant le transport et les saisies à l'abattoir. Elles représentent en moyenne 1% et elles conduisent à des sous-produits animaux "C2" destinés principalement à l'incinération. Le second poste de pertes concerne la phase de découpe de la carcasse avec des pertes de l'ordre de 1,2% transformées en sous-produits animaux "C3" utilisables pour les animaux de compagnie. On peut estimer que le cinquième quartier (sang et abats qui représentent 13% de l'animal) est utilisé à 51% pour l'alimentation humaine, dont une partie importante à l'exportation, 21% pour les animaux de compagnie, les 38% restants rejoignant le circuit des coproduits "C3" non différenciés. En France le porc est pour 75% consommé sous forme transformée avec une très grande diversité de produits de charcuterie (plus de 400). Ceci constitue un atout important pour la valorisation de l’ensemble des morceaux de découpe et des abats mais cela rend par contre très difficile l’évaluation des pertes à cette étape de la filière

Estimation of food losses along the pork production chain, from the farm to the marketing of products

The reduction of food losses is a major issue in a context of limited resources and increasing world demand. This paper reports the mains results of a study on the food losses along the French pork production chain. Mortality during transport and seized material at the slaughterhouse is a first reason for losses. These losses represent about 1% of total animals' weight leaving the farm; they are transformed in "C2" animal by-products mainly used for energy production. The losses during the cutting of the carcass are estimated to 1.2% of initial carcass weight. They are transformed into "C3" animal byproducts suitable for animal feeding, especially for pet-food. It is estimated that 51% of total offal and blood, which represents 13% of animal's weight, are used as human food and 21% for pet-food, the remaining being transformed in "C3" non-differentiated animal products. In France, 75% of the pork is consumed after processing, with a very large diversity of products (more than 400). This is a major asset for the maximal valorization of all carcass cuts and offal, but it makes it very difficult to evaluate the possible losses during their processing.

2016

La tomographie à rayons X : référence pour la classification des porcs / X-ray Computed Tomography: Reference for pig classification

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Les Cahiers de l'IFIP, 3(1), 59-71 - La revue R&D de la filière porcine française

Le classement des carcasses de porc participe à la rentabilité et à l’orientation de la production. Encadré par la règlementation européenne, il est basé sur la prédiction d’une teneur en viande maigre. Cette teneur de référence est mesurable par dissection manuelle ou depuis 2009 par tomographie RX, si celle-ci donne des résultats comparables à la dissection. Les objectifs de cet article sont de proposer une méthode de comparaison, de l’appliquer à la procédure française et de discuter de son équivalence sur le cheptel européen.
L’approche repose essentiellement sur un essai réalisé sur 63 demi-carcasses représentatives du cheptel français en 2008, dans le cadre du contrôle des équations de classement. La régression orthogonale s’est avéré une méthode de comparaison adaptée. La procédure de tomographie RX choisie par la France, développée indépendamment de la dissection, s’est révélée comparable à la dissection. La différence essentielle est un biais moyen de 0,6 point. La relation entre les deux références n’est pas sensible à la nature du cheptel, notamment en matière de sexe et de génotype halothane. Cette méthode tomographique peut remplacer la dissection en France et en Europe comme référence pour la classification des porcs et plus généralement pour la mesure de la composition corporelle.

PDF icon Version française, PDF icon English version
2016

Effects of sex and halothane gene on the pig grading prediction equations of lean meat percentage

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Abstract.

Automation of pig classification methods make it relevant to quantify the main effects influencing the prediction equations of the lean meat percentage (LM%). A representative sample of the French pig slaughtering was selected in 3 abattoirs and stratified according to sex (50% castrated males and 50% females). Carcasses were measured by 3 classification methods – CSB Image-Meater® (IM), CGM, ZP – and cooled. An ear sample was analysed for Halothane gene (Hal). The left sides were cut according to the EU procedure and the four main joints were CT scanned. Images were thresholded in order to determine lean meat weight. Among the 209 pigs, the proportions of Nn and NN alleles were respectively of 52% and 48%, leading to a well balanced design. The least squares means were calculated for the factors SEX and Hal in an analysis-of-covariance model per classification method ilcuding the corresponding fat and muscle depths as well as the interactions. Interactions were never significant. Hal effect was not significant for the CGM. The adjusted differences between females and castrated males were for the lean meat percentage predicted by CGM, ZP and IM respectively of 1.0, 1.7 and 1.8. The adjusted differences between Nn and NN alleles were for the lean meat percentage predicted by ZP and IM respectively of 1.0 and 1.3. Sex could be managed by a different intercept in the classification equations if it is considered of practical relevance. The knowledge of the bias size between Hal alleles is of interest for the pig chain stakeholders.

PDF icon abstract de Gérard Daumas et Mathieu Monziols, 66th EAAP, Varsovie, Pologne, 31 août-04 septembre 2015
2016

Effects of the sex dans halothane gene on pig carcass composition measured by computed tomography

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Abstract.

The aim of this study was to quantifiy this main effects influencing both the tissue composition measured by Computed Tomography (CT) and the classification variables of slaughtered pigs. A representative sample of the French pig slaughtering was selected in 3 abattoirs and stratified according to sex (50% castrated males and 50% females). Carcasses were measured by 3 classification methods – CSB Image-Meater® (IM), CGM, ZP – and cooled. An ear sample was analysed for Halothane gene (Hal). The left sides were cut according to the EU procedure and the four main joints were CT scanned. Images were thresholded in order to determine lean meat, fat and bone weight. Among the 209 pigs, the proportions of Nn and NN alleles were respectively of 52% and 48%, leading to a well balanced design. In the analysis of variance the interaction between sec and Hal was never significant. Sex was significant on all the fat and muscle depths as well as on all the tissues proportions in the joints, except the bone % in ham and loin. Hal was signficiant on all the tissues proportions in the joints, except the fat % in shoulder, the bone % in belly and the lean meat percentage (LM%) predicted by IM. Hal was not significant on the IM depths taken on the splitline but was significant on the CGM lateral depths. Sex had a major effect (1 standard deviation) on the LM% in the loin and the fat % in the shoulder. The highest Hal effect (0.6  standard deviation) was on the LM% in the carcass predicted by the CGM and the bone % in the shoulder. The adjusted differences between females and castrated males were for the LM% measured by CT and predicted by CGM, ZP and IM respectively of 3.0, 2.0, 1.6 and 1.6. The adjusted differences between Nn and NN alleles were for LM% measured by CT and predicted by CGM, ZP and IM respectively of 1.5, 1.5, 0.6 and 0.4. Hal and sex have important effects on pig carcass composition, but the automatic classification by IM is less sensitive than CGM to these ones.

PDF icon abstract de Gérard Daumas et Mathieu Monziols, 66th EAAP, Varsovie, Pologne, 31 août-04 septembre 2015
2016

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