References of "Bertozzi, Carlo"
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See detailOptiMIR- Développement et mise en place d'outils innovants de gestion des troupeaux et de conseil personnalisé pour une meilleure durabilité du secteur laitier
Hammami, Hedi ULg; Massart, Xavier; Bertozzi, Carlo et al

in 16ème Carrefour des Productions animales: La filière laitière bovine européenne est-elle durable? (2011, March)

Detailed reference viewed: 44 (7 ULg)
See detailLa génomique bovine laitière en Région Wallonne : état des lieux
Colinet, Frédéric ULg; Gengler, Nicolas ULg; Hubin, Xavier et al

Conference given outside the academic context (2011)

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See detailApproche globale d’un niveau de santé mammaire à l’échelle d’une région au travers de ses principaux indicateurs de terrain
Theron, Léonard ULg; Bertozzi, Carlo; Piraux, Emile et al

in RAHAL, Karim (Ed.) Recueil des 3èmes Journées d’Epidémiologie Animale (2010, November 23)

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See detailAdding value to test-day data by using modified best prediction method
Gillon, Alain ULg; Abras, Sven; Mayeres, Patrick et al

in ICAR Technical Series (2010, November), 14

Computation of lactation yields from test-day data has lost much of its importance for genetic evaluations as the use of test-day models is currently quite widespread. In the other hand its interest for ... [more ▼]

Computation of lactation yields from test-day data has lost much of its importance for genetic evaluations as the use of test-day models is currently quite widespread. In the other hand its interest for intra-farm management is increasing as a base for advanced management tools. The first and principal aim of this study was to develop a method which takes into account advantages and disadvantages of existing methods, and to test its potential to provide useful management tools to dairy farmers. A test-day model with modifications to able daily run and management tools was developed. Because of its similarities with best prediction, the method developed here was called modified best prediction. The second objective was to compare the accuracy of this new method with best prediction and test interval methods. Modified best prediction showed good results for predicting daily yields and was slightly better than best prediction for lactation yields prediction. Management tools obtained with modified best prediction are explained. [less ▲]

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See detailGenetic correlations among body condition score, yield and fertility in multiparous cows using random regression models
Bastin, Catherine ULg; Gillon, Alain ULg; Massart, Xavier et al

in Proceedings of the 9th World Congress on Genetics Applied to Livestock Production (2010, August)

Genetic correlations between body condition score (BCS) in lactation 1 to 3 and four economically important traits (days open, 305-days milk, fat, and protein yields recorded in the first 3 lactations ... [more ▼]

Genetic correlations between body condition score (BCS) in lactation 1 to 3 and four economically important traits (days open, 305-days milk, fat, and protein yields recorded in the first 3 lactations) were estimated on about 12,500 Walloon Holstein cows using 4-trait random regression models. Results indicated moderate favorable genetic correlations between BCS and days open (from -0.46 to -0.62) and suggested the use of BCS for indirect selection on fertility. However, unfavorable genetic correlations between BCS and yields (from -0.16 to -0.71) indicated that selection on BCS would have deleterious effects on milk, fat, and protein yields, especially in lactation greater than 1. [less ▲]

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See detailAdding value to test-day data by using modified best prediction method
Gillon, Alain ULg; Abras, Sven; Mayeres, Patrick et al

Conference (2010, June 04)

Computation of lactation yields from test-day data has lost much of its importance for genetic evaluations as the use of test-day models is currently quite widespread. In the other hand its interest for ... [more ▼]

Computation of lactation yields from test-day data has lost much of its importance for genetic evaluations as the use of test-day models is currently quite widespread. In the other hand its interest for intra-farm management is increasing as a base for advanced management tools. The first and principal aim of this study was to develop a method which takes into account advantages and disadvantages of existing methods, and to test its potential to provide useful management tools to dairy farmers. A test-day model with modifications to able daily run and management tools was developed. Because of its similarities with best prediction, the method developed here was called modified best prediction. The second objective was to compare the accuracy of this new method with best prediction and test interval methods. Modified best prediction showed good results for predicting daily yields and was slightly better than best prediction for lactation yields prediction. Management tools obtained with modified best prediction are explained. [less ▲]

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See detailGenetic evaluation for body condition score in the Walloon Region of Belgium
Bastin, Catherine ULg; Gillon, Alain ULg; Massart, Xavier et al

Conference (2010, June 02)

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See detailGenetic evaluation for body condition score in the Walloon region of Belgium
Bastin, Catherine ULg; Gillon, Alain ULg; Massart, Xavier et al

in Interbull Bulletin (2010), 42

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See detailImplementing pedagogic strategies between vets and farmers to create synergies in udder health management: Project Mammipack®
Theron, Léonard ULg; Sustronck, Bart; Bertozzi, Carlo et al

Poster (2009, December)

Udder health is usually considered as a health and economic problem for farmers. We now consider that mastitis is the result of many factors related to the environment, the pathogen and the host. What may ... [more ▼]

Udder health is usually considered as a health and economic problem for farmers. We now consider that mastitis is the result of many factors related to the environment, the pathogen and the host. What may have been forgotten in the process is the fact that nowadays, the main interface with mastitis is the farmer, and their knowledge about mastitis is very heterogeneous. This reflexion has led to the creation of a technical and pedagogical pack called “Mammipack” which contains different tools, from all actors of the dairy chain. We included small charts explaining the most important risk factors identified through epidemiology, good dairy practices and its effect on milk flow, milking machine check-up, how-to for mastitis milk sample, a how-to for performance records use for udder health management, a resume on genetic selection of sires and mastitis, charts upon nutrition factors and their main effect on udder physiology during lactation and dry-off, resume on veterinary drugs good management in the farm. Small laminated sheets upon milk sampling for bacteriology and teats evaluation were also joined in order to be use in parlors, sterile sampling tubes were also given in the pack. A mastitis record pad was designed to record the main clinical forms and the treatment chosen. Eventually, the book Udder Health® was added to have a complete modern look on that problem in dairy farms. 25 farmers were selected on a voluntary base by 12 veterinarians, and they answered to questionnaires about their main practices regarding herd structure, mastitis treatment, and southern Belgium main 19 risk factors. They had to answer basic questions concerning udder health on 15 points. They agreed to keep a record of all next mastitis cases in their farms and take milk samples for bacteriology each time at day 0 and day 21 during 3 months. The main objective is to show to a group of dairy farmers that mastitis could take several different forms from one farm to another, in term of incidence, pathogens and clinical forms. One other purpose is to show the difficulty to have bacteriological cure, even when physical cure has happened. After all, one collateral objective was to create the Mammipack®, designed for farmers and vets to increase their ability to collaborate on mastitis management through most dairy chain actors’ expertise. [less ▲]

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See detailAssociations among BCS, milk production and days-open in Walloon primiparous dairy cows
Massart, Xavier; Laloux, Laurent; Bastin, Catherine ULg et al

Conference (2009, August 27)

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See detailAdding value to test-day data by using modified best prediction method
Gillon, Alain ULg; Abras, Sven; Mayeres, Patrick et al

in Book of Abstracts of the 60th Annual Meeting of the European Association for Animal Production (2009, August)

Computation of lactation yields from test-day yield has lost much of its importance for genetic evaluations as <br />the use of test-day models is rather widespread. At the same time its importance for ... [more ▼]

Computation of lactation yields from test-day yield has lost much of its importance for genetic evaluations as <br />the use of test-day models is rather widespread. At the same time its importance for intra-farm management <br />increases at farms as a base for advanced management tools. The most common official method to compute <br />lactation yield is the Test Interval Method (TIM). Alternative methods for computing cumulated productions <br />were developed. These methods can be considered as improvements of TIM as the interpolation method, <br />or completely different methods as multiple-trait prediction (MTP) and best prediction (BP). Research <br />in this field has shown the potential to compute lactation parameters (e.g., cumulated production) with <br />test-day models. The aim of this study was to develop a new method which takes into account advantages <br />and disadvantages of existing methods, and to test its potential to provide useful tools to help farmers to <br />make management decisions. The second objective was to compare the accuracy and the robustness of this <br />method with those of BP and TIM. Because of its similarities with BP, the method developed here was <br />called mBP, for modified-BP. The main difference from BP is the definition of the standard lactation curve. <br />To minimize bias, components of standard lactation curves proper to each herd are computed jointly with <br />random individual effects. Recently a new version of mBP was tested that puts expectations of constant <br />animal effects to observed average values using Bayesian prediction, a feature also used by MTP. [less ▲]

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See detailAssociations among BCS, milk production and days-open in Walloon primiparous dairy cows
Laloux, Laurent; Bastin, Catherine ULg; Gillon, Alain ULg et al

in Book of abstracts of the 60th annual meeting of the European Association for Animal Production (2009, August)

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See detailPotential estimation of major mineral contents in cow milk using mid-infrared spectrometry.
Soyeurt, Hélène ULg; Bruwier, Damien; Romnee, Jean-Michel et al

in Journal of Dairy Science (2009), 92(6), 2444-2454

Milk and dairy products are a major source of minerals, particularly calcium, involved in several metabolic functions in humans. Currently, several dairy products are enriched with calcium to prevent ... [more ▼]

Milk and dairy products are a major source of minerals, particularly calcium, involved in several metabolic functions in humans. Currently, several dairy products are enriched with calcium to prevent osteoporosis. The development of an inexpensive and fast quantitative analysis for minerals is required to offer dairy farmers an opportunity to improve the added value of the produced milk. The aim of this study was to develop 5 equations to measure Ca, K, Mg, Na, and P contents directly in bovine milk using mid-infrared (MIR) spectrometry. A total of 1,543 milk samples were collected between March 2005 and May 2006 from 478 cows during the Walloon milk recording and analyzed by MIR spectrometry. Using a principal component approach, 62 milk samples were selected by their spectral variability and separated in 2 calibration sets. Five outliers were detected and deleted. The mineral contents of the selected samples were measured by inductively coupled plasma atomic emission spectrometry. Using partial least squares combined with a repeatability file, 5 calibration equations were built to estimate the contents of Ca, K, Mg, Na, and P in milk. To assess the accuracy of the developed equations, a full cross-validation and an external validation were performed. The cross-validation coefficients of determination (R(2)cv) were 0.80, 0.70, and 0.79 for Ca, Na, and P, respectively (n = 57), and 0.23 and 0.50 for K and Mg, respectively (n = 31). Only Ca, Na, and P equations showed sufficient R(2)cv for a potential application. These equations were validated using 30 new milk samples. The validation coefficients of determination were 0.97, 0.14, and 0.88 for Ca, Na, and P, respectively, suggesting the potential to use the Ca and P calibration equations. The last 30 samples were added to the initial milk samples and the calibration equations were rebuilt. The R(2)cv for Ca, K, Mg, Na, and P were 0.87, 0.36, 0.65, 0.65, and 0.85, respectively, confirming the potential utilization of the Ca and P equations. Even if new samples should be added in the calibration set, the first results of this study showed the feasibility to quantify the calcium and phosphorus directly in bovine milk using MIR spectrometry. [less ▲]

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See detailLe BCS, une méthode simple à la source de conseils variés : ration, repro et santé
Laloux, Laurent; Bastin, Catherine ULg; Gillon, Alain ULg et al

Poster (2009, February 11)

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See detailBilan du projet ecopathologique de l'observatoire de la santé mammaire
Bertozzi, Carlo; Froidmont, Eric; Jadoul, Thierry et al

Conference given outside the academic context (2009)

Detailed reference viewed: 56 (11 ULg)