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Dive into the research topics where Isabelle Dufrasne is active.

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Featured researches published by Isabelle Dufrasne.


Molecules | 2016

Selenium in Cattle: A Review

Youcef Mehdi; Isabelle Dufrasne

This review article examines the role of selenium (Se) and the effects of Se supplementation especially in the bovine species. Selenium is an important trace element in cattle. Some of its roles include the participation in the antioxidant defense the cattle farms. The nutritional requirements of Se in cattle are estimated at 100 μg/kg DM (dry matter) for beef cattle and at 300 μg/kg DM for dairy cows. The rations high in fermentable carbohydrates, nitrates, sulfates, calcium or hydrogen cyanide negatively influence the organism’s use of the selenium contained in the diet. The Se supplementation may reduce the incidence of metritis and ovarian cysts during the postpartum period. The increase in fertility when adding Se is attributed to the reduction of the embryonic death during the first month of gestation. A use of organic Se in feed would provide a better transfer of Se in calves relative to mineral Se supplementation. The addition of Se yeasts in the foodstuffs of cows significantly increases the Se content and the percentage of polyunsaturated fatty acids (PUFA) in milk compared to the addition of sodium selenite. The enzyme 5-iodothyronine deiodinase is a seleno-dependent selenoprotein. It is one of the last proteins to be affected in the event of Se deficiency. This delay in response could explain the fact that several studies did not show the effect of Se supplementation on growth and weight gain of calves. Enrichment of Se in the diet did not significantly affect the slaughter weight and carcass yield of bulls. The impact and results of Se supplementation in cattle depend on physiological stage, Se status of animals, type and content of Se and types of Se administration. Further studies in Se supplementation should investigate the speciation of Se in food and yeasts, as well as understanding their metabolism and absorption. This constitute a path to exploit in order to explain certain different effects of Se.


Computers and Electronics in Agriculture | 2017

Development of an open-source algorithm based on inertial measurement units (IMU) of a smartphone to detect cattle grass intake and ruminating behaviors

Andriamasinoro Andriamandroso; Frédéric Lebeau; Yves Beckers; Eric Froidmont; Isabelle Dufrasne; Bernard Heinesch; Pierre Dumortier; Guillaume Blanchy; Yannick Blaise; Jérôme Bindelle

Abstract In this paper, an open algorithm was developed for the detection of cattle’s grass intake and rumination activities. This was done using the widely available inertial measurement unit (IMU) from a smartphone, which contains an accelerometer, a gyroscope, a magnetometer and location sensors signals sampled at 100xa0Hz. This equipment was mounted on 19 grazing cows of different breeds and daily video sequences were recorded on pasture of different forage allowances. After visually analyzing the cows’ movements on a calibration database, signal combinations were selected and thresholds were determined based on 1-s time windows, since increasing the time window did not increase the accuracy of detection. The final algorithm uses the average value and standard deviation of two signals in a two-step discrimination tree: the gravitational acceleration on x-axis (Gx) expressing the cows’ head movements and the rotation rate on the same x-axis (Rx) expressing jaw movements. Threshold values encompassing 95% of the normalized calibrated data gave the best results. Validation on an independent database resulted in an average detection accuracy of 92% with a better detection for rumination (95%) than for grass intake (91%). The detection algorithm also allows for characterization of the diurnal feeding activities of cattle at pasture. Any user can make further improvements, for data collected at the same way as the iPhone’s IMU has done, since the algorithm codes are open and provided as supplementary data .


Animal | 2017

The effect of concentrate allocation on traffic and milk production of pasture based cows milked by an automatic milking system

Françoise Lessire; Eric Froidmont; John Shortall; Jean-Luc Hornick; Isabelle Dufrasne

Increased economic, societal and environmental challenges facing agriculture are leading to a greater focus on effective way to combine grazing and automatic milking systems (AMS). One of the fundamental aspects of robotic milking is cows traffic to the AMS. Numerous studies have identified feed provided, either as fresh grass or concentrate supplement, as the main incentive for cows to return to the robot. The aim of this study was to determine the effect of concentrate allocation on voluntary cow traffic from pasture to the robot during the grazing period, to highlight the interactions between grazed pasture and concentrate allocation in terms of substitution rate and the subsequent effect on average milk yield and composition. Thus, 29 grazing cows, milked by a mobile robot, were monitored for the grazing period (4 months). They were assigned to two groups: a low concentrate (LC) group (15 cows) and a high concentrate (HC) group (14 cows) receiving 2 and 4 kg concentrate/cow per day, respectively; two allocations per day of fresh pasture were provided at 0700 and 1600 h. The cows had to go through the AMS to receive the fresh pasture allocation. The effect of concentrate level on robot visitation was calculated by summing milkings, refusals and failed milkings/cow per day. The impact on average daily milk yield and composition was also determined. The interaction between lactation number and month was used as an indicator of pasture availability. Concentrate allocation increased significantly robot visitations in HC (3.60±0.07 visitations/cow per day in HC and 3.10±0.07 visitations/cow per day in LC; P<0.001) while milkings/cow per day were similar in both groups (LC: 2.37±0.02/day and HC: 2.39±0.02/day; Ns). The average daily milk yield over the grazing period was enhanced in HC (22.39±0.22 kg/cow per day in HC and 21.33±0.22 kg/cow per day in LC; P<0.001). However the gain in milk due to higher concentrate supply was limited with regards to the amount of provided concentrates. Milking frequency in HC primiparous compared with LC was increased. In the context of this study, considering high concentrate levels as an incentive for robot visitation might be questioned, as it had no impact on milking frequency and limited impact on average milk yield and composition. By contrast, increased concentrate supply could be targeted specifically to primiparous cows.


Advances in Animal Biosciences | 2015

Rumination time, milk yield, milking frequency of grazing dairy cows milked by a mobile automatic system during mild heat stress

Françoise Lessire; Jean-Luc Hornick; Julien Minet; Isabelle Dufrasne


Archive | 2018

Grazing practices in three European countries: results of a survey in dairy farms

Françoise Lessire; Catherine Scohier; Troels Kristensen; Romain Reding; Rocco Lioy; Werner Reuter; Eric Elias; Isabelle Dufrasne


Wallonie Elevages | 2017

Combiner robot de traite et pâturage

Françoise Lessire; Isabelle Dufrasne


Vlaams Diergeneeskundig Tijdschrift | 2017

Evaluation of the ruminal function of Belgian dairy cows suspected of subacute ruminal acidosis.

Françoise Lessire; Emilie Knapp; Léonard Theron; Jean-Luc Hornick; Isabelle Dufrasne; Frédéric Rollin


Archive | 2017

Enquête sur les pratiques de pâturage en Wallonie: Résultats et conclusions

Françoise Lessire; Isabelle Dufrasne


Archive | 2017

Impact of grazing practices on farm self-sufficiency, milk and economic performances of three automatized farms

Françoise Lessire; Catherine Scohier; Isabelle Dufrasne


Fourrages | 2017

Pâturer avec un robot de traite: une diversité de stratégies...

Valérie Brocard; Françoise Lessire; Estelle Cloet; Thomas Huneau; Isabelle Dufrasne; Céline Déprés

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