scholarly journals Sleep in dairy cows recorded with a non-invasive EEG technique

2012 ◽  
Vol 140 (1-2) ◽  
pp. 25-32 ◽  
Author(s):  
Emma Ternman ◽  
Laura Hänninen ◽  
Matti Pastell ◽  
Sigrid Agenäs ◽  
Per Peetz Nielsen
Keyword(s):  
Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3925
Author(s):  
Susanne Demba ◽  
Gundula Hoffmann ◽  
Christian Ammon ◽  
Sandra Rose-Meierhöfer

The aim of this study was to evaluate whether the severity of hyperkeratosis (HK) in the teats of dairy cows can be assessed by a dielectric measurement. The study focused on surveying the occurrence of hyperkeratosis in a total of 241 teats of lactating dairy cows. A scoring system consisting of four categories was used to macroscopically assess the severity of HK. Additionally, the dielectric constant (DC) of all teats with milkability was measured in a double iteration with the MoistureMeterD (Delfin Technologies, Kuopio, Finland) on four different days. The Spearman rank correlation coefficient revealed a negative correlation between the DC and HK score (rs = −0.55 to −0.36). The results of the regression analysis showed that the DC values differed significantly between healthy teat ends (≤2) and teat ends with HK (≥3). Thus, the non-invasive measurement of DC provides a promising method of objectively assessing the occurrence and severity of HK.


2020 ◽  
Vol 87 (S1) ◽  
pp. 28-33 ◽  
Author(s):  
Francisco Maroto Molina ◽  
Carlos C. Pérez Marín ◽  
Laura Molina Moreno ◽  
Estrella I. Agüera Buendía ◽  
Dolores C. Pérez Marín

AbstractThis Research Reflection addresses the possibilities for Welfare Quality® to evolve from an assessment method based on data gathered on punctual visits to the farm to an assessment method based on sensor data. This approach could provide continuous and objective data, while being less costly and time consuming. Precision Livestock Farming (PLF) technologies enabling the monitorisation of Welfare Quality® measures are reviewed and discussed. For those measures that cannot be assessed by current technologies, some options to be developed are proposed. Picturing future dairy farms, the need for multipurpose and non-invasive PLF technologies is stated, in order to avoid an excessive artificialisation of the production system. Social concerns regarding digitalisation are also discussed.


2014 ◽  
Vol 10 (1) ◽  
Author(s):  
Sien H Verschave ◽  
Jozef Vercruysse ◽  
Andrew Forbes ◽  
Geert Opsomer ◽  
Miel Hostens ◽  
...  

2015 ◽  
Vol 13 ◽  
Author(s):  
José Carlos Dos Santos Breda ◽  
Luiz Ernandes Kozicki

The study of ovarian follicular dynamics (OFD) and other changes in the bovine reproductive tract has developedsignificantly over the past two decades, primarily due to the use of non-invasive investigative approaches suchas ultrasound. Advances in ultrasound examinations have provided a better understanding of ovarian activity,uterine involution, oviducts status, and other segments of the reproductive tract in the bovine postpartumperiod. Procedures including tracking of the reproductive tract have likewise aided in the development of newmethodologies and techniques to improve reproductive performance in cattle. The aim of this review was tosummarize knowledge regarding the reproductive tract in dairy cows during the postpartum period.


2001 ◽  
Vol 28 ◽  
pp. 71-76 ◽  
Author(s):  
R. J. Dewhurst ◽  
S. M. Rutter ◽  
A. J. Rook

AbstractThe pre-requisites for nutritional management of dairy cows are information about how much feed is being consumed as well as the nutrients that are being derived from that feed. Studies of feed intake and nutrient supply have been limited by difficult experimental techniques, particularly with grazing animals. The models derived from much earlier work are of only general applicability and there is a need for more site-specific information in order to benefit further from conceptual advances.We have adopted a different approach to studying herbage intake and nutrient supply, using less-invasive approaches as well as techniques that monitor more accessible aspects of these processes, such as jaw movements. These techniques have a major advantage, in addition to their value as research tools, because they could translate directly into commercial applications in on-farm monitoring. The use of diagnostics and behavioural recording is well explored in relation to health monitoring; here we argue for its potential to advance the application of knowledge about grazing and nutrition. We will illustrate this approach using our experiences in measuring grazing behaviour, using IGER behaviour recorders and assessing rumen function, using a series of non-invasive techniques.The IGER grazing behaviour recorder allows us to record jaw movements and hence grazing and ruminating time and bite dynamics. It also allows the recording of steps and is now being developed to incorporate non-invasive rumen state sensors. It has made a major contribution to our understanding of the foraging strategies of grazing animals and their effect on herbage intake. This technology has the potential to be developed for on-farm monitoring of foraging behaviour providing valuable inputs to the prediction of herbage intake, in decision support systems for grazing.The introduction of concept of protein degradation and microbial synthesis in the rumen are significant advances in protein rationing schemes. However, real progress has been limited because the lack of consistent experimental results means that models have little relevance to specific farm situations. We foresee considerable opportunities to monitor products of rumen degradation and synthesis that appear in milk (e.g. odd-chain fatty acids) or breath (e.g. sulphides).Taken together these technologies open the possibilities of an entirely new approach to nutritional management of dairy cows, with site-specific recommendations based on information gathered using new sensors that are incorporated into computerised feeding equipment and milking parlours.


2018 ◽  
Vol 198 ◽  
pp. 1-8 ◽  
Author(s):  
Y. Gómez ◽  
R. Bieler ◽  
A.K. Hankele ◽  
M. Zähner ◽  
P. Savary ◽  
...  

2003 ◽  
Vol 70 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Moez Ayadi ◽  
Gerardo Caja ◽  
Xavier Such ◽  
Christopher H Knight

Four lactating Holstein cows (average milk yield: 20±3 l/d) were used to develop and validate a method for estimating the size of udder cisterns (Sinus lactiferi) using ultrasonography. A sectorial transducer probe of 5 MHz, placed in contact with the teat in a parallel cranial position, was used to obtain vertical scans of the udder in two perpendicular planes with the teat canal axis as reference. Udder scans for each udder quarter were taken randomly at intervals of 4, 8, 12, 16, 20 and 24 h after milking. Glandular parenchyma (echogenic) and lumen of the cisterns full of milk (anechogenic) were evident in the scans, the calculated area of the anechogenic portion being defined as cistern area. Cistern areas measured in perpendicular scans were highly correlated. Immediately after each measurement, cisternal milk was removed from each quarter using a teat cannula after i.v. injection of an oxytocin-receptor blocking agent. Alveolar milk from each quarter was then obtained by machine milking after i.m. injection of oxytocin. Cistern area and cisternal milk volume increased with length of milking interval showing a curvilinear pattern with a plateau after 16 h. Correlations between cistern area and cisternal milk volume were positive and significant (P<0·001) at all intervals but showed the highest values with the smallest residual standard deviations at 8 h (r=0·88) and 12 h (r=0·84). Since 8 h has previously been identified as a suitable time at which to determine cisternal milk volume for the purposes of defining suitability for different milking strategies, we conclude that ultrasonography provides a satisfactory, non-invasive method for determination of milk storage characteristics in dairy cows.


2008 ◽  
Vol 75 (1) ◽  
pp. 84-89 ◽  
Author(s):  
Gerd Bobe ◽  
Viren R Amin ◽  
Arnold R Hippen ◽  
Pengxiang She ◽  
Jerry W Young ◽  
...  

During early lactation, many dairy cows develop fatty liver, which is associated with decreased health and reproductive performance. Currently, fatty liver can be detected reliably only by using liver biopsy followed by chemical or histological analysis, which is not practical in most on-farm situations. We tested whether digital analyses of hepatic ultrasonograms can be used to detect non-invasively fatty liver and estimate liver triacylglycerol content. A total of 49 liver biopsies and ultrasonograms were taken from 29 dairy cows within 2 weeks postpartum. The usefulness of 17 first- or second-order parameters from digital analysis of B-mode ultrasonograms were evaluated by discriminant, correlation, and regression analyses. A group of linear combinations of the 17 parameters correctly classified 40 of 49 samples into normal liver as well as mild, moderate and severe fatty liver when cut-off values were 1%, 5% and 10% and correctly classified 45 of 49 samples when cut-off values were 5% and 10% triacylglycerol of wet weight. A linear combination of 16 image parameters estimated triacylglycerol concentrations of 38 of the 39 liver samples below the cut-off value of 10% within 2·5% of liver wet weight, and a linear combination of 3 parameters estimated triacylglycerol concentrations of the 10 liver samples above the cut-off value of 10% within 2% of liver wet weight. Therefore, ultrasound imaging followed by digital analysis of sonograms has potential to non-invasively detect fatty liver and estimate liver triacylglycerol content.


animal ◽  
2008 ◽  
Vol 2 (2) ◽  
pp. 224-234 ◽  
Author(s):  
S.I. Borucki Castro ◽  
H. Lapierre ◽  
L.E. Phillip ◽  
P.W. Jardon ◽  
R. Berthiaume

Sign in / Sign up

Export Citation Format

Share Document