Browsing
     by title


0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

or enter first few letters:   
OK
Full Text
Peer Reviewed
See detailInfluence du stade de maturité de la plante de maïs récoltée pour ensilage sur la composition, la digestibilité apparente, les caractéristiques de fermentation dans le rumen et les performances zootechniques chez le taurillon
Mayombo, Asangule Pierre; Dufrasne, Isabelle ULg; Hornick, Jean-Luc ULg et al

in Annales de Zootechnie (1997), 46

Un maïs plante entière a été ensilé à trois stades de maturité différents (S1, S2, S3) correspondant à des teneurs respectives en matière sèche de 25,1 (S1), 29,8 (S2) et 32,3 % (S3). La production de ... [more ▼]

Un maïs plante entière a été ensilé à trois stades de maturité différents (S1, S2, S3) correspondant à des teneurs respectives en matière sèche de 25,1 (S1), 29,8 (S2) et 32,3 % (S3). La production de matière sèche s'élevait à 10,7 ; 11,1 et 11,7 tonnes par hectare. Chacun de ces ensilages, distribué à des taureaux à l'engraissement, a été supplémenté par des pulpes séchées, du tourteau de soja, des sels minéraux et des vitamines. Le stade de maturité n'a pas affecté les teneurs en cendres, cendres insolubles, extrait éthéré ou protéines ; cependant une réduction significative de la teneur en fibre ADF a été enregistrée avec S3. La digestibilité de la matière sèche et de la matière organique de la ration mesurée in vivo sur des taureaux en cages à bilan ainsi que celle du maïs ensilage n'ont pas été non plus influencées par le stade de maturité. En revanche, la digestibilité de la fibre ADF a été significativement plus faible pour S3 par rapport à S1 et S2 (62,1 vs 67,2 ou 65,6 %, p < 0,05 pour la ration; 54,1 vs 63,3 ou 60,7 %, p < 0,001 pour le maïs). Quant aux potentialités du rumen à dégrader les aliments, il est à noter que la dégradabilité totale par la méthode in sacco des différents composants testés a été supérieure dans le rumen des animaux qui recevaient le maïs à teneur en matière sèche élevée. Il n'y a pas eu d'effets significatifs du stade de maturité sur les performances animales durant un essai de 5,5 mois dans le cas d'une alimentation ad libitum. A partir de l'indice de consommation, du gain total de poids vif et de la production de matière sèche par hectare, il était possible d'estimer que 13,8, 14,2 et 15,7 taurillons pouvaient être engraissés respectivement à partir des ensilages de maïs S1, S2 et S3 produits par ha. [less ▲]

Detailed reference viewed: 148 (3 ULg)
Full Text
See detailInfluence du stockage des boues de STEP sur les émissions de NH3 et de COV durant leur séchage
Fraikin, Laurent ULg; Salmon, Thierry ULg; Herbreteau, Benjamin et al

Poster (2011, November 29)

Le séchage constitue une étape importante en aval de la déshydratation mécanique en vue de la valorisation agricole ou énergétique des boues de station d’épuration. La teneur en eau peut être réduite à ... [more ▼]

Le séchage constitue une étape importante en aval de la déshydratation mécanique en vue de la valorisation agricole ou énergétique des boues de station d’épuration. La teneur en eau peut être réduite à moins de 5%, diminuant ainsi la masse et le volume des boues et, par conséquent, le coût pour le stockage, la manutention et le transport. L'élimination de l'eau augmente considérablement le pouvoir calorifique inférieur, transformant les boues en un combustible convenable. En outre, les boues séchées peuvent être stabilisées et exemptes d'agents pathogènes en fonction de la température et de la durée de traitement. Les technologies convectives sont largement utilisées pour le séchage des boues. Le principal avantage est la simplicité de la technologie et l’inconvénient majeur résulte de la grande quantité d'air à épurer et désodoriser. Le but des travaux menés par l'Université de Liège et VEOLIA Environnement est d'effectuer une caractérisation en laboratoire des émissions gazeuses en fonction des conditions de séchage. Pour ce faire, il est primordial de garantir une qualité constante de l'échantillon initial tout au long des mesures. En effet, même si elles sont conservées à basse température, les boues peuvent être le siège de dégradations biologiques et les propriétés de séchage peuvent être modifiées. Ainsi, la première partie de ce travail est consacrée à l’étude de l'influence de la durée de stockage des boues à 4°C sur les émissions gazeuses produites au cours de leur séchage convectif. Deux types de boues, l’une ayant subi une digestion et l’autre pas, sont étudiés. L’échantillonnage est effectué après la déshydratation mécanique dans deux stations de traitement des eaux usées situées à proximité de l'Université de Liège. Les échantillons sont stockés dans le laboratoire à 4°C dans un récipient hermétique. Pour effectuer les essais, 300 g de boue sont déposés dans le sécheur sous la forme d’un lit d'extrudés de 6 mm de diamètre. La masse de boue, la concentration en ammoniac et la concentration en composés organiques volatils sont mesurées en ligne respectivement par une balance, un analyseur infrarouge et un détecteur à ionisation de flamme. Des thermocouples permettent le suivi de la température en amont, au sein et en aval du lit de boue. Des essais de séchage sont effectués au jour 0 (= jour du prélèvement), et après 1, 2, 4, 10, 17 et 20 jours sous les conditions suivantes : température de l'air = 140°C; vitesse superficielle de l'air = 1 m/s; humidité absolue = 0,005 kgeau/kgair sec. La seconde partie du travail a été réalisée sur un échantillon de boue non digérée conservé à 12°C pour simuler des conditions réelles de stockage. Les essais de séchage ont été menés le jour de prélèvement et après 4, 10 et 20 jours, avec des conditions opératoires similaires. L’étude réalisée avec un stockage à 4°C montre que les émissions gazeuses sont maximales le jour du prélèvement, diminuent fortement durant les deux premiers jours de stockage pour atteindre un niveau constant durant deux semaines avant d’augmenter. Lors du stockage à 12°C, les émissions d’ammoniac et de COV sont multipliées respectivement par un facteur 40 et 4 entre le jour 0 et le jour 20. Ces résultats mettent en évidence l’impact des conditions et de la durée de stockage sur les émissions lors du séchage des boues et montrent l’importance de sécher les boues le plus rapidement possible pour limiter les nuisances. [less ▲]

Detailed reference viewed: 49 (13 ULg)
Full Text
See detailInfluence du stretching sur la performance musculaire explosive
Croisier, Jean-Louis ULg; Evrard, F.; Lehance, Cédric ULg

in Résumés des Communications du 3ème Colloque Médico-sportif « Entre laboratoire et terrain » (2007)

Detailed reference viewed: 45 (6 ULg)
Full Text
See detailInfluence du territoire sur le bâti existant en Wallonie
Teller, Jacques ULg

Conference given outside the academic context (2011)

Detailed reference viewed: 21 (4 ULg)
Full Text
Peer Reviewed
See detailL'influence du tourisme sur le commerce. Le cas de Fréjus (Var, France).
Merenne-Schoumaker, Bernadette ULg

in Bulletin de la Société Géographique de Liège (1969), (5), 37-86

Test measurement of the impact of tourism on the structure, the location and the quality level of shops in the town of Frejus (Var, France)

Detailed reference viewed: 67 (1 ULg)
Peer Reviewed
See detailInfluence du travail du sol sur les populations de carabides en grande culture, resultats preliminaires
Stassart, Pierre M ULg; Wibo, Grégoire; Frankinet, M.

in Meded. Fac. Landbouw. Rijksuniv. Gent 48 (1983)

Detailed reference viewed: 26 (9 ULg)
Full Text
Peer Reviewed
See detailInfluence du type de fertilisation, du jour de pâturage et du mois de l’année sur les rejets azotés des vaches laitières
Dufrasne, Isabelle ULg; Istasse, Louis ULg; Robaye, Vincent ULg et al

in Marcoen, Jean Marie; Vandenberghe, Christophe (Eds.) Acte de l'atelier "Nitrate - Eau" (2010)

Influence of the fertilization type, the day in the paddock and the month on nitrogen rejections in dairy cows. The present study aims to quantify nitrogen (N) rejections in dairy cows on a rotational ... [more ▼]

Influence of the fertilization type, the day in the paddock and the month on nitrogen rejections in dairy cows. The present study aims to quantify nitrogen (N) rejections in dairy cows on a rotational grazing system with different types of fertilization (compost, slurry and mineral N) at two different days in the paddock (days 3 and 5) and during two different periods (June and September). Grass yield and height were measured along with the chemical composition. The live weight was recorded when the cows moved into the paddock and milk yields was recorded at each milking. N intakes were measured on the basis of the energy requirement. When the cows were in the paddocks, individual samples of faeces and urine were collected to assess N rejections. The urea content in milk from the tank or from the individual cows was also measured. N intake was higher on day 3 than on day 5 and in September as compared with in June but was not influenced by the fertilization. The amount of N produced in milk was not influenced either by the fertilization, by the day on the paddock or by the month. The amount of urinary N was significantly higher in the N mineral group than in the two other groups. The N excretion in faeces and urines was higher on day 3 than on day 5. In June, the N excretion by the urine was lower than in September while the N excretion by the faeces was higher. Equations were calculated in order to estimate the N excretion by the urine in grazing dairy cows from the urea content in milk of a group of cows. [less ▲]

Detailed reference viewed: 38 (2 ULg)
Full Text
Peer Reviewed
See detailInfluence du type de représentation visuelle sur l’évaluation de l’ambiance d’un espace architectural
Van de Vreken, Anne ULg; Safin, Stéphane ULg

in Proceedings of IHM 2010 : Conférence francophone sur l'interaction homme-machine. Luxembourg, 20-23 Septembre. (2010, September)

This paper describes the results of an experiment comparing the effectiveness and the impact of three kinds of usual architectural representation (plan, mock-up and virtual visit of a 3D model) for the ... [more ▼]

This paper describes the results of an experiment comparing the effectiveness and the impact of three kinds of usual architectural representation (plan, mock-up and virtual visit of a 3D model) for the perception of ambiances. We compare the judgments of people (inexperi- enced in the architecture domain) on 32 ambiance criteria, made on the basis of one of these representations. We compare these judgments on those made by the same participants on the basis of a visit of the real space. We conclude on propositions to enhance representation of ambiances in architecture. [less ▲]

Detailed reference viewed: 89 (11 ULg)
Full Text
Peer Reviewed
See detailInfluence du type de sciure et d'un traitement des porcs aux antibiotiques sur l'évolution de la température dans les litières biomaîtrisées
Nicks, Baudouin ULg; Desiron, Alain; Canart, Bernard et al

in 28èmes Journées de la Recherche Porcine en France (1996)

Detailed reference viewed: 9 (0 ULg)
Full Text
See detailInfluence du type de sol et de son occupation sur la distribution des éléments traces métalliques entre les différents compartiments du sol : Stratégie et démarche d’échantillonnage
Lienard, Amandine ULg; Colinet, Gilles ULg

Poster (2010, November 24)

En Région wallonne, les sols contaminés en éléments traces métalliques (ETM) par retombées atmosphériques parsèment les anciennes régions industrielles du bassin sambro-mosan. C’est le cas du paysage ... [more ▼]

En Région wallonne, les sols contaminés en éléments traces métalliques (ETM) par retombées atmosphériques parsèment les anciennes régions industrielles du bassin sambro-mosan. C’est le cas du paysage entourant la réserve de Sclaigneaux (commune d’Andenne) connue pour ses pelouses calaminaires. Celles-ci trouvent leur origine dans les retombées de poussières contaminées provenant des cheminées d’évacuation d’une usine de zinc et plomb durant plus d’un siècle (1856 à 1978). Les cheminées, situées au sommet de la falaise sur la rive gauche de la Meuse, ont été détruites en 1982. Par cette étude, nous souhaitons observer la distribution des ETM dans les différents compartiments du sol et l’influence sur celle-ci du type de sol et de l’occupation du sol. La zone d’étude choisie est une maille circulaire de 3km de rayon centrée sur la zone des cheminées d’évacuation. Ce choix de maille permettra d’étudier l’offre en ETM du sol sur une distance constante dans toutes les directions. Elle est située dans le bassin hydrographique de la Meuse entre la Hesbaye, au nord, et le Condroz, au sud. Un plan d’échantillonnage stratifié par ordre d’importance des facteurs a été mis en place. Tout d’abord, une première sélection de sols a été opérée parmi les principaux types de sols répartis sur la zone sur base de l’ensemble de leur couverture cartographique. Les sols non cartographiés ou artificiels ainsi que les regroupements de complexes de sols pour lesquels les informations en notre possession sont insuffisantes ont ainsi été abandonnés. Une deuxième sélection porte sur les occupations de sols suivantes, cultures - prairies – forêts ; seuls six sols types de sols sont présents sous les trois occupations. Enfin, le choix final se porte sur les sols présents dans les quatre directions suivantes nord, est, ouest et sud. Au final, seulement trois unités de sols satisfont les exigences décrites ci-dessus. Les lieux d’échantillonnage sont répartis pour chaque combinaison sol-occupation sur les quatre directions. En tout, plus de 250 sondages seront réalisés sur cette zone d’environ 2.800ha pour optimiser la représentativité de l’échantillonnage. [less ▲]

Detailed reference viewed: 50 (12 ULg)
Full Text
Peer Reviewed
See detailInfluence function and efficiency of the minimum covariance determinant scatter matrix estimator
Croux, C.; Haesbroeck, Gentiane ULg

in Journal of Multivariate Analysis (1999), 71(2), 161-190

The minimum covariance determinant (MCD) scatter estimator is a highly robust estimator for the dispersion matrix of a multivariate, elliptically symmetric distribution. It is relatively fast to compute ... [more ▼]

The minimum covariance determinant (MCD) scatter estimator is a highly robust estimator for the dispersion matrix of a multivariate, elliptically symmetric distribution. It is relatively fast to compute and intuitively appealing. In this note we derive its influence function and compute the asymptotic variances of its elements. A comparison with the one step reweighted MCD and with S-estimators is made. Also finite-sample results are reported. (C) 1999 Academic Press AMS 1991 subject classifications: 62F35, 62G35. [less ▲]

Detailed reference viewed: 30 (5 ULg)
Full Text
See detailInfluence function of the error rate of classification based on clustering
Ruwet, Christel ULg; Haesbroeck, Gentiane ULg

Conference (2009, May 19)

Cluster analysis may be performed when one wishes to group similar objects into a given number of clusters. Several algorithms are available in order to construct these clusters. In this talk, focus will ... [more ▼]

Cluster analysis may be performed when one wishes to group similar objects into a given number of clusters. Several algorithms are available in order to construct these clusters. In this talk, focus will be on two particular cases of the generalized k-means algorithm : the classical k-means procedure as well as the k-medoids algorithm, while the data of interest are assumed to come from an underlying population consisting of a mixture of two groups. Among the outputs of these clustering techniques, a classification rule is provided in order to classify the objects into one of the clusters. When classification is the main objective of the statistical analysis, performance is often measured by means of an error rate. Two types of error rates can be computed: a theoretical one and a more empirical one. The first one can be written as ER(F, Fm) where F is the distribution of the training sample used to set up the classification rule and Fm (model distribution) is the distribution under which the quality of the rule is assessed (via a test sample). The empirical error rate corresponds to ER(F, F), meaning that the classification rule is tested on the same sample as the one used to set up the rule. This talk will present the results concerning the theoretical error rate. In case there are some outliers in the data, the classification rule may be corrupted. Even if it is evaluated at the model distribution, the theoretical error rate may then be contaminated. To measure the robustness of classification based on clustering, influence functions have been computed. Similar results as those derived by Croux et al (2008) and Croux et al (2008) in discriminant analysis were observed. More specifically, under optimality (which happens when the model distribution is FN = 0.5 N(μ1, σ) + 0.5 N(μ2, σ), Qiu and Tamhane 2007), the contaminated error rate can never be smaller than the optimal value, resulting in a first order influence function identically equal to 0. Second order influence functions need then to be computed. When the optimality does not hold, the first order influence function of the theoretical error rate does not vanish anymore and shows that contamination may improve the error rate achieved under the non-optimal model. The first and, when required, second order influence functions of the theoretical error rate are useful in their own right to compare the robustness of the 2-means and 2-medoids classification procedures. They have also other applications. For example, they may be used to derive diagnostic tools in order to detect observations having an unduly large influence on the error rate. Also, under optimality, the second order influence function of the theoretical error rate can yield asymptotic relative classification efficiencies. [less ▲]

Detailed reference viewed: 51 (23 ULg)
Full Text
See detailInfluence function of the error rate of the generalized k-means
Ruwet, Christel ULg; Haesbroeck, Gentiane ULg

Scientific conference (2009, March 30)

Cluster analysis may be performed when one wishes to group similar objects into a given number of clusters. Several algorithms are available in order to construct these clusters. In this talk, focus will ... [more ▼]

Cluster analysis may be performed when one wishes to group similar objects into a given number of clusters. Several algorithms are available in order to construct these clusters. In this talk, focus will be on two particular cases of the generalized k-means algorithm: the classical k-means procedure as well as the k-medoids algorithm. Among the outputs of these clustering techniques, a classification rule is provided in order to classify the objects into one of the clusters. When classification is the main objective of the statistical analysis, performance is often measured by means of an error rate. In the clustering setting, the error rate has to be measured on the training sample while test samples are usually used in other settings like linear discrimination or logistic discrimination. This characteristic of classification resulting from a clustering implies that contamination in the training sample may not only affect the classification rule but also other parameters involved in the error rate. In the talk, influence functions will be used to measure the impact of contamination on the error rate and will show that contamination may decrease the error rate that one would expect under a given model. Moreover, a kind of second-order influence functions will also be derived to measure the bias in error rate the k-means and k-medoids procedures suffer from in finite-samples. Simulations will confirm the results obtained via the first and second-order influence functions. Future research perspectives will conclude the talk. [less ▲]

Detailed reference viewed: 11 (2 ULg)
Full Text
Peer Reviewed
See detailThe influence function of the TCLUST robust clustering procedure
Ruwet, Christel ULg; García-Escudero, Luis Angel; Gordaliza, Alfonso et al

in Advances in Data Analysis and Classification [=ADAC] (2012), 6(2), 107-130

The TCLUST procedure performs robust clustering with the aim of finding clusters with different scatter structures and proportions. An Eigenvalue Ratio constraint is considered by TCLUST in order to avoid ... [more ▼]

The TCLUST procedure performs robust clustering with the aim of finding clusters with different scatter structures and proportions. An Eigenvalue Ratio constraint is considered by TCLUST in order to avoid finding spurious clusters. In order to guarantee the robustness of the method against the presence of outliers and background noise, the method allows for trimming of a given proportion of observations self determined by the data. This article studies robustness properties of the TCLUST procedure by means of the influence function, obtaining a robustness behavior close to that of the trimmed k-means. [less ▲]

Detailed reference viewed: 32 (8 ULg)
Full Text
See detailInfluence functions of the error rates of classification based on clustering
Ruwet, Christel ULg; Haesbroeck, Gentiane ULg

Poster (2009, May)

Cluster analysis may be performed when one wishes to group similar objects into a given number of clusters. Several algorithms are available in order to construct these clusters. In this poster, focus ... [more ▼]

Cluster analysis may be performed when one wishes to group similar objects into a given number of clusters. Several algorithms are available in order to construct these clusters. In this poster, focus will be on two particular cases of the generalized k-means algorithm : the classical k-means procedure as well as the k-medoids algorithm, while the data of interest are assumed to come from an underlying population consisting of a mixture of two groups. Among the outputs of these clustering techniques, a classification rule is provided in order to classify the objects into one of the clusters. When classification is the main objective of the statistical analysis, performance is often measured by means of an error rate. Two types of error rates can be computed : a theoretical one and a more empirical one. The first one can be written as ER(F, Fm) where F is the distribution of the training sample used to set up the classification rule and Fm (model distribution) is the distribution under which the quality of the rule is assessed (via a test sample). The empirical error rate corresponds to ER(F, F), meaning that the classification rule is tested on the same sample as the one used to set up the rule. In case there are some outliers in the data, the classification rule may be corrupted. Even if it is evaluated at the model distribution, the theoretical error rate may then be contaminated, while the effect of contamination on the empirical error rate is two-fold : the rule but also the test sample are contaminated. To measure the robustness of classification based on clustering, influence functions have been computed, both for the theoretical and the empirical error rates. When using the theoretical error rate, similar results as those derived by Croux et al (2008) and Croux et al (2008) in discriminant analysis were observed. More specifically, under optimality (which happens when the model distribution is FN = 0.5N(μ1, ) + 0.5N(μ2, ), Qiu and Tamhane 2007), the contaminated error rate can never be smaller than the optimal value, resulting in a first order influence function identically equal to 0. Second order influence functions would then need to be computed, as this will be done in future research. When the optimality does not hold, the first order influence function of the theoretical error rate does not vanish anymore and shows that contamination may improve the error rate achieved under the non-optimal model. Similar computations have been performed for the empirical error rate, as the poster will show. The first and, when required, second order influence functions of the theoretical and empirical error rates are useful in their own right to compare the robustness of the 2-means and 2-medoids classification procedures. They have also other applications. For example, they may be used to derive diagnostic tools in order to detect observations having an unduly large influence on the error rate. Also, under optimality, the second order influence function of the theoretical error rate can yield asymptotic relative classification efficiencies. [less ▲]

Detailed reference viewed: 48 (25 ULg)
Peer Reviewed
See detailInfluence Lianol Solapro on sow colostrums production
Wavreille, José; Planchon, Viviane; Renaville, Robert ULg et al

in 21 Inter. Pig Vet Society Congress (2010)

Detailed reference viewed: 39 (3 ULg)
Full Text
Peer Reviewed
See detailInfluence Molecular Arrangement in Self-assembled Monolayers on Adhesion Forces Measured by Chemical Force Microscopy
Duwez, Anne-Sophie ULg; Jonas, Ulrich; Klein, Hubert

in Chemphyschem : A European Journal of Chemical Physics and Physical Chemistry (2003), 4

Detailed reference viewed: 4 (0 ULg)
Full Text
Peer Reviewed
See detailInfluence of 2D and 3D images on performance and time estimation in minimal invasive surgery
Blavier, Adelaïde ULg; Nyssen, Anne-Sophie ULg

in Ergonomics (2009), 52(11), 13421349

This study aimed to evaluate the impact of 2D and 3D images on time performance and time estimation during a surgical motor task. 60 subjects without any surgical experience (nurses) and 20 expert ... [more ▼]

This study aimed to evaluate the impact of 2D and 3D images on time performance and time estimation during a surgical motor task. 60 subjects without any surgical experience (nurses) and 20 expert surgeons performed a fine surgical task with a new laparoscopic technology (da Vinci robotic system). The 80 subjects were divided into two groups, one using 3D view option and another using 2D view option. We measured time performance and asked subjects to verbally estimate their time performance. Our results showed faster performance in 3D than in 2D view for novice subjects while the performance in 2D and 3D was similar in the expert group. We obtained a significant interaction between time performance and time evaluation: in 2D condition, all subjects accurately estimated their time performance while they overestimated it in the 3D condition. Our results emphasize the role of 3D in improving performance and the contradictory feeling about time evaluation in 2D and 3D. This finding is discussed in regard with the retrospective paradigm and suggests that 2D and 3D images are differently processed and memorised. [less ▲]

Detailed reference viewed: 24 (4 ULg)
See detailInfluence of 3 stages of maturity on total yield and on animal performance of growing fattening bulls offered a maize silage based diet
Dufrasne, Isabelle ULg; Mayombo, Asangule Pierre; Istasse, Louis ULg et al

in Proceedings of the 43th Annual Meeting of E.A.A.P. (1992)

Detailed reference viewed: 8 (2 ULg)
Peer Reviewed
See detailInfluence of a blend of fructo-oligosaccharides and sugar beet fiber on nutrient digestibility and plasma metabolites concentrations in healthy Beagles
Diez, Marianne ULg; Hornick, Jean-Luc ULg; Baldwin, Paule ULg et al

in American Journal of Veterinary Research (1997), 58

Objective-To evaluate effects of a blend of fructo-oligosaccharides and sugar beet fiber (4:1) at 3 incorporation rates on nutrient digestibility and plasma glucose, insulin, alpha-aminonitrogen, urea ... [more ▼]

Objective-To evaluate effects of a blend of fructo-oligosaccharides and sugar beet fiber (4:1) at 3 incorporation rates on nutrient digestibility and plasma glucose, insulin, alpha-aminonitrogen, urea, cholesterol, and triglycerides concentrations measured weekly in nonfed dogs and during a 360-minute period after a meal. Animals-8 castrated 1 to 1.4-year-old young adult male Beagles weighing 10.0 to 13.5 kg. Procedure-Diets containing 2 incorporation rates of a blend of fructo-oligosaccharides and sugar beet fiber (5 and 10% on a dry matter basis [diets B and C, respectively]) were compared with a control diet without additional fiber (diet A). The 3 diets were evaluated for ability to modify digestibility of dry and organic matter, protein, fat, and ash and for effects on plasma glucose, insulin, alpha-aminonitrogen, urea, cholesterol, and triglycerides concentrations. Each diet was fed for 6 weeks; plasma samples were collected weekly before feeding and after feeding on the last day of the period, During 1 week at the end of the 6-week period, dogs were kept in metabolic cages. Each period of the block was followed by a 4-week washout period. Results-Incorporating the blend of fructo-oiigosaccharides and sugar beet fiber in the diet was associated with greater passage of wet feces (diets B and C) and lower protein digestibility (diet C). Postprandial glucose (diet C), urea (diets B and C) and triglyceride (diets B and C) concentrations were significantly (P < 0.01) decreased. Weekly preprandial measurements were characterized by decreased urea (diets B and C), cholesterol (diet C), and triglycerides (diets B and C) concentrations (P < 0.001). Conclusion-Chronic consumption of fermentable fiber is associated with mildly decreased protein digestibility and with metabolic effects in nonfed or fed dogs. Clinical Relevance-A blend of fructo-oligosaccharides and sugar beet fiber should he tested as a dietary aid for treatment of chronic diseases, such as diabetes mellitus or hyperlipidemia, in dogs. [less ▲]

Detailed reference viewed: 24 (2 ULg)