The National Animal Health Monitoring System's perspective on respiratory disease in dairy cattle

2020 ◽  
Vol 21 (2) ◽  
pp. 135-138
Author(s):  
Diana M. Short ◽  
Jason E. Lombard
Keyword(s):  
Dairy Cattle ◽  
Respiratory Disease ◽  
Health Monitoring ◽  
Complex Disease ◽  
Animal Health ◽  
Dairy Industry ◽  
Calf Health ◽  
Perceived Impacts ◽  
Cattle Health ◽  
On Farm

AbstractIn 1991, USDA's National Animal Health Monitoring System (NAHMS) conducted its first dairy study, a baseline assessment that focused on the health and management of heifer calves. During the study, producers ranked respiratory disease among the top two most common health problems affecting dairy calves. Over the last 25 years, U.S. dairy producers have participated in six NAHMS studies, yielding a rich repository of information that has helped identify needs for research, extension, and education in the dairy industry. NAHMS’ most recent dairy study, conducted in 2014, provides the latest estimates on dairy cattle health and includes another in-depth look at heifer-calf health. While overall mortality in calves has decreased, bovine respiratory disease (BRD) remains an important cause of morbidity in calves. This raises the concern that BRD mitigation may be at a standstill on dairies. Research and on-farm experience have done much to elucidate the challenges associated with detection and perceived impacts of this complex disease. Continued development and implementation of new methods for monitoring health and detecting disease will provide additional tools to upend stalemating factors associated with BRD control, helping the dairy industry ‘turn a corner’ on this important disease.

Farm 4.0: innovative smart dairy technologies and their applications as tools for welfare assessment in dairy cattle.

2021 ◽  
Vol 16 (045) ◽  
Author(s):  
S. Azarpajouh
Keyword(s):  
Dairy Cattle ◽  
Review Paper ◽  
Animal Health ◽  
World Population ◽  
Welfare Assessment ◽  
Qualitative And Quantitative ◽  
Machine Learning Methods ◽  
Recent Advancement ◽  
Cattle Health ◽  
On Farm

Abstract The growing world population has increased the demand for meat and milk products and has led to a rapid growth in the scale of cattle enterprises globally. As a result, livestock production would intensify even more with farmers aiming to maximize output per animal unit and it would lower the stockperson per animal ratio. This will result in less time available to monitor and manage individual animals properly, jeopardizing animal health and welfare. The recent advancement in technological and engineering tools and materials such as advances sensors and sensing devices, and data processing and machine learning methods provide effective tools for the dairy industry to control qualitative and quantitative parameters related to dairy cattle health and welfare. This review paper will (a) explain smart dairy technologies, (b) describe on-farm cattle welfare assessment, and (c) discuss sensors applied in automatic cattle welfare assessment.

scholarly journals Non-Invasive Sensor Technology for the Development of a Dairy Cattle Health Monitoring System

Computers ◽  
2016 ◽  
Vol 5 (4) ◽  
pp. 23 ◽  
Author(s):  
Amruta Awasthi ◽  
Anshul Awasthi ◽  
Daniel Riordan ◽  
Joseph Walsh
Keyword(s):  
Dairy Cattle ◽  
Monitoring System ◽  
Health Monitoring ◽  
Sensor Technology ◽  
Health Monitoring System ◽  
Non Invasive ◽  
Cattle Health

scholarly journals Potential diagnostic methods and nutritional changes to combat bovine respiratory disease in receiving cattle

2017 ◽  
Author(s):  
◽  
Cooper Daniel Martin
Keyword(s):  
Respiratory Disease ◽  
Feed Efficiency ◽  
Acute Phase Proteins ◽  
Animal Health ◽  
Bovine Respiratory Disease ◽  
Blood Chemistry ◽  
Diagnostic Methods ◽  
Beef Industry ◽  
Healthy Cattle ◽  
Cattle Health

Bovine respiratory disease (BRD) accounts for up to 70 percent of health disruptions and $500 million in associated medical costs and production losses, thus receiving considerable attention from cattle health personnel in production and research alike. Experiments were conducted in 2 studies to investigate aspects of nutrition and animal health in receiving cattle. Blood chemistry and immune components of sick and healthy cattle, along with feed intake, growth, and feed efficiency were evaluated for methods potentially useful in BRD diagnosis or offsetting performance losses. Intake, blood chemistry analysis, and immune proteins known as acute phase proteins provided patterns with possible complementarity for more accurate objective BRD diagnosis. Feed efficiency was improved by supplementing amino acids to exceed nutrient requirements. Utilizing these findings could provide incremental improvements in the current stalemate against BRD, improving both beef industry profitability and animal welfare.

BRD in 2014: where have we been, where are we now, and where do we want to go?

2014 ◽  
Vol 15 (2) ◽  
pp. 120-122 ◽  
Author(s):  
W. Mark Hilton
Keyword(s):  
North America ◽  
Respiratory Disease ◽  
Monitoring System ◽  
Health Monitoring ◽  
Animal Health ◽  
Feedlot Cattle ◽  
Health Concern ◽  
Health Monitoring System ◽  
The Us ◽  
The Usa

AbstractBovine respiratory disease (BRD) is a worldwide health concern and is the number one disease of stocker, backgrounder, and feedlot cattle in North America. In feedlots in the USA, BRD accounts for 70–80% of all feedlot morbidity and 40–50% of all mortality. In 2011, the US Department of Agriculture's National Animal Health Monitoring System conducted a feedlot study that showed 16.2% of all feedlot cattle were treated for BRD. It is universally accepted that this number is distressingly high and that our industry has the tools available to reduce the incidence of BRD.

scholarly journals Invited review: Changes in the dairy industry affecting dairy cattle health and welfare

2015 ◽  
Vol 98 (11) ◽  
pp. 7426-7445 ◽  
Author(s):  
H.W. Barkema ◽  
M.A.G. von Keyserlingk ◽  
J.P. Kastelic ◽  
T.J.G.M. Lam ◽  
C. Luby ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Dairy Industry ◽  
Cattle Health

Mortality, morbidity, case-fatality, and culling rates for California dairy cattle as evaluated by the national animal health monitoring system, 1986–87

1990 ◽  
Vol 8 (2-3) ◽  
pp. 157-170 ◽  
Author(s):  
Ian A. Gardner ◽  
David W. Hird ◽  
William W. Utterback ◽  
Cyrus Danaye-Elmi ◽  
Billy R. Heron ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Monitoring System ◽  
Health Monitoring ◽  
Animal Health ◽  
Case Fatality ◽  
Health Monitoring System

scholarly journals Health Monitoring of Fattening Pigs – Use of Production Data, Farm Characteristics and On-Farm Examination

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Julia Grosse-Kleimann ◽  
Birte Wegner ◽  
Ines Spiekermeier ◽  
Elisabeth grosse Beilage ◽  
Nicole Kemper ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Statistical Significance ◽  
Animal Health ◽  
Average Daily Gain ◽  
Secondary Data ◽  
Principal Component ◽  
Production Costs ◽  
Production Data ◽  
On Farm ◽  
Fattening Pigs

Abstract Background The use of processed secondary data for health monitoring of fattening pigs has been established in various areas, such as the use of antibiotics or in the context of meat inspection. Standardized scores were calculated based on several sources of production data and can be used to describe animal health in a large collective of pig units. In the present study, the extent to which these scores are related to different farm characteristics and management decisions were investigated. In addition, slaughter scores were compared with the results of a veterinary examination on the farms. Results The comparison of the results of the uni- and multifactorial analyses revealed that almost all of the examined factors play a role in at least one of the scores when considered individually. However, when various significant influencing factors were taken into account at any one time, most of the variables lost their statistical significance due to confounding effects. In particular, production data such as production costs or daily feed intake remained in the final models of the scores on mortality, average daily gain and external lesions. Regarding the second part of the investigation, a basic technical correlation between the slaughter scores and the on-farm indicators could be established via principal component analysis. The modelling of the slaughter scores by the on-farm indicators showed that the score on external lesions could be represented by equivalent variables recorded on the farm (e.g., lesions caused by tail or ear biting). Conclusions It has been demonstrated that the examined health scores are influenced by various farm and management characteristics. However, when several factors are taken into account, confounding occurs in some cases, which must be considered by consultants. Additionally, it was shown that on-farm examination content is related to the scores based on equivalent findings from slaughter pigs.

Identification of potential on-farm sources ofListeria monocytogenesin herds of dairy cattle

2009 ◽  
Vol 234 (5) ◽  
pp. 673-673
Author(s):  
Hussni O. Mohammed ◽  
Korana Stipetic ◽  
Patrick L. McDonough ◽  
Ruben N. Gonzalez ◽  
Daryl V. Nydam ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
On Farm
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