scholarly journals Leptospira Seroprevalence in Colombian Dairy Herds

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 785
Author(s):  
Simone Taddei ◽  
Giovanni Moreno ◽  
Clotilde Silvia Cabassi ◽  
Emiliana Schiano ◽  
Costanza Spadini ◽  
...  
Keyword(s):  
Dairy Farms ◽  
Domestic Animals ◽  
Agglutination Test ◽  
Economic Effects ◽  
Dairy Herds ◽  
Farming Practices ◽  
Livestock Farming ◽  
Occupational Risk Factor ◽  
Leptospira Serovars ◽  
Very High

Leptospirosis in cattle has important economic effects on the infected farms. Moreover, livestock farming is considered a major occupational risk factor for the transmission of Leptospira infection to humans. A survey was performed to determine the overall and within-herd seroprevalence and mapping of different Leptospira serovars in dairy cattle from farms located in some municipalities of the Colombian department of Boyacá. Nine hundred and fifty-nine animals, from 20 unvaccinated and one vaccinated herd, were included in the study. Anti-Leptospira serum antibodies were detected by the microscopic agglutination test (MAT). Only one herd was seronegative. Overall seroprevalence to at least one serovar of Leptospira was 24.1% for unvaccinated animals and 62.3% for animals from the vaccinated herd. A very high within-herd seroprevalence (>60%) was present in 20% of the unvaccinated herds. The presence in the vaccinated herd of 20/398 animals showing high titers, between 1000 and 4000, to at least one serovar of Leptospira suggest that some animals could have been infected. Moreover, due to the presence of seronegative animals, a failure of vaccination immunity or the presence of unvaccinated animals in the vaccinated herd cannot be excluded. In all farms, domestic animals other than cattle were present. Considering the farming practices occurring on dairy farms in the study area, higher hygienic standards and stricter biosecurity measures are suggested.

Comparing the performance of Holstein and Friesian dairy cows on British dairy farms

2002 ◽  
Vol 2002 ◽  
pp. 18-18
Author(s):  
G. E. Pollott ◽  
J. D. Leaver
Keyword(s):  
Dairy Cows ◽  
Dairy Herd ◽  
Dairy Farms ◽  
Dairy Herds ◽  
The Uk ◽  
Friesian Cows

In recent years there has been an influx of Holstein genes into the UK dairy herd, largely achieved by a ‘grading up’ process using imported Holstein semen on Friesian cows. The research reported here investigates this process using performance records from UK dairy herds.

scholarly journals Recent Advances on Early Detection of Heat Strain in Dairy Cows Using Animal-Based Indicators: A Review

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 980
Author(s):  
Hang Shu ◽  
Wensheng Wang ◽  
Leifeng Guo ◽  
Jérôme Bindelle
Keyword(s):  
Heat Stress ◽  
Early Detection ◽  
Dairy Cows ◽  
Real Time ◽  
Dairy Farms ◽  
Time Measurement ◽  
Heat Strain ◽  
Detection Methods ◽  
Livestock Farming ◽  
Real Time Measurement

In pursuit of precision livestock farming, the real-time measurement for heat strain-related data has been more and more valued. Efforts have been made recently to use more sensitive physiological indicators with the hope to better inform decision-making in heat abatement in dairy farms. To get an insight into the early detection of heat strain in dairy cows, the present review focuses on the recent efforts developing early detection methods of heat strain in dairy cows based on body temperatures and respiratory dynamics. For every candidate animal-based indicator, state-of-the-art measurement methods and existing thresholds were summarized. Body surface temperature and respiration rate were concluded to be the best early indicators of heat strain due to their high feasibility of measurement and sensitivity to heat stress. Future studies should customize heat strain thresholds according to different internal and external factors that have an impact on the sensitivity to heat stress. Wearable devices are most promising to achieve real-time measurement in practical dairy farms. Combined with internet of things technologies, a comprehensive strategy based on both animal- and environment-based indicators is expected to increase the precision of early detection of heat strain in dairy cows.

scholarly journals Organic livestock in the Republic of Croatia and Europe

Krmiva ◽  
2020 ◽  
Vol 61 (2) ◽  
pp. 75-80
Author(s):  
Zvonko Antunović ◽  
Đuro Senčić ◽  
Josip Novoselec ◽  
Danijela Samac ◽  
Željka Klir
Keyword(s):  
Organic Farming ◽  
Domestic Animals ◽  
European Countries ◽  
The European Union ◽  
Livestock Farming ◽  
The Republic ◽  
Sheep Production ◽  
The Uk ◽  
Organic Meat ◽  
The Eu

The aim of the present study was to analyze the situation in organic livestock farming in Croatia and Europe. In the European countries in the year 2017, around 4.5 million cattle, 5.2 million sheep, 1 million pigs and 50 million poultry were registered in organic farming. The highest share of organically registered domestic animals compared to the total population in Europe and the European Union-28 was in cattle (3.5% and 5.2%) and sheep (3.4% and 5.0%), and the lowest in pigs (0.6% and 0.7%). In Croatia the highest share is in sheep (8.57%) and the lowest in poultry (0.02%) number. The largest increase in recent ten years in the EU has been in the number of poultry (by 103%) and the smallest in the number of pigs (by 47.6%), while the increase was the number of cattle and sheep was around 76% and 74%, respectively. In Croatia organic sheep production increased the most (by 65.0%), while the number of cattle and poultry increased by 62 and 64%, and the smallest increase is in the number of pigs (by 24%). The majority of organic meat of all species of domestic animals is produced in France and in United Kingdom, while organic milk is produced mostly in Germany and France. During the year 2018, most organic beef was produced in the UK and France, organic pork in France and Finland, organic sheep meat in Spain and the UK, organic goat meat in Spain, while most of organic poultry was produced in France and in the UK. A significant increase in the number of livestock in organic farming in Europe and in Croatia indicates an increasing interest in organic livestock farming, not only increase of farmers and processors but also increase of consumers of organic products in European countries.

scholarly journals Worth of Artificial Intelligence in the Epoch of Modern Livestock Farming: A Review

2021 ◽  
Author(s):  
Bhavna Aharwal ◽  
Biswajit Roy ◽  
Somesh Meshram ◽  
Aayush Yadav
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Body Condition Score ◽  
Compliance Rate ◽  
Animal Husbandry ◽  
Dairy Farms ◽  
Individual Performance ◽  
Animal Origin ◽  
Livestock Farming ◽  
Measuring Device

Artificial intelligence (AI) is a human intelligence in machine encountered daily and impacts our lives. It is expected that the use of such technology in the livestock industry will automate the livestock processes and easy to manage. Biometric identification plays a key role in artificial intelligence which shows the individual identity, helps in the process of insurance and claim leakages, continue monitoring of farm animal is essential can be done with new technologies. Infra red temperature measurement camera is the newly added technology with sensor system in (AI). It is a temperature measuring device in the form of electromagnetic waves and the infrared radiation intensity. AI system consists of agent, sensor, actuators and effectors which are connected to cloud. It helps in the detection of estrus, animal diseases, body condition score and various physiological parameters using video surveillance data collection method. Artificial neural network is a branch of artificial intelligence (AI) which is based on a collection of connected units or nodes called artificial neurons and stored in a central database system. Sustainable economic future of dairy farms and to achieve 100% compliance rate. Modern dairy farms uses robotic system to deliver vaccines, machine milking and measurement of feed as per individual performance of the animal. AI analyzes the animal origin food quality traceability method from farm to fork. AI helps in the complete mechanized animal husbandry right from the birth of animal to production and food product. The future of AI in animal sector is not predictable, but advantages and daily increasing demand of AI over other sector will ensure future in animal sector as well.

scholarly journals Technologies used at advanced dairy farms for optimizing the performance of dairy animals: A review

2021 ◽  
Vol 19 (4) ◽  
pp. e05R01-e05R01
Author(s):  
Amit K. Singh ◽  
Keyword(s):  
Dairy Farms ◽  
Substantial Improvement ◽  
Health Care Facilities ◽  
Livestock Farming ◽  
Prime Concern ◽  
World Demand ◽  
Labour Requirement ◽  
Dairy Animals ◽  
Size Of Animals ◽  
The Cost

Superior germplasm, better nutrition strategies, health care facilities and improved dairy husbandry practices have boosted milk yield and its quality with a rapid rate. Per cow productivity has risen up sharply with considerable increase in the population of dairy animals. Recent era has witnessed the extension of large dairy farms around the world. Demand for high quality and increased quantity of milk is of the prime concern for all the dairy farms. With an increase in the size of animals in a farm, the labour requirement also rises up. Availability of skilled labour at low wage rate is becoming difficult. In last couple of decades, the cost of microprocessors has been reduced to an affordable level. The economic availability of engineered processors, artificial intelligence, improved data statistics combined with expert suggestions has created a revolution in livestock farming. Advanced engineered devices have become alternative to reduce high labour cost. This review focuses on latest knowledge and emerging developments in animal’s welfare focused biomarker activities and activity-based welfare assessment like oestrus, lameness and others. Use of enhanced sensors and data technologies with expert based solutions is anticipated to bring out a substantial improvement in existing dairy farming practices.

scholarly journals Sero-prevalence of Leptospira spp. in Household and Stray Dogs by Microscopic Agglutination Test

2020 ◽  
Vol 1 (1) ◽  
pp. 3-6
Author(s):  
Ali Shabestari Asl ◽  
Mohammad Bafandehzendeh ◽  
Gholamreza Abdollahpoor
Keyword(s):  
Zoonotic Disease ◽  
Climatic Conditions ◽  
Agglutination Test ◽  
Microscopic Agglutination Test ◽  
Human Beings ◽  
Serum Samples ◽  
Stray Dogs ◽  
Growth And Survival ◽  
Leptospira Serovars ◽  
Micro Organisms

Background: Leptospirosis is a zoonotic disease of worldwide significance in human beings and many animals. This zoonotic disease causes infection in dogs and other pet animals and these animals can influence human’s health. Given the unknown prevalence of leptospirosis in dogs in our area, this study was performed to investigate the sero-epidemiology of leptospirosis and evaluate the seroprevalence of Leptospira serovars in both household and stray dogs by microscopic agglutination test (MAT). Methods: Serum samples of 90 dogs in two household and stray groups (45 dogs for each group) were collected. Specimens were examined by MAT (in accordance with the procedure recommended by WHO) against antigens of serovars Canicola, Grippotyphosa, Icterohaemorrhagiae, Pomona, Hardjo, Autumnalis, and Ballum. Results: In total, 6.7% of (n=6) dogs (1 stray and 5 household dogs) had a serum titer of 1:100 or more against Leptospira serovars. Dominant serovars were Canicola (8.9%), Grippotyphosa (2.2%), and Pomona (2.2%), respectively. The antibody titer against more than one serovar was observed only in one dog. The sero-prevalence was 11.1% in household dogs and 2.2% in stray dogs. Since 4 pet dogs had been vaccinated recently, it seems that the actual percentage of infection in household dogs must be just 2.2% and actual infection in dogs including stray dogs is approximately 4.4% in Tabriz. Conclusion: Fortunately, the rate of infection in Tabriz is low and this can be due to special geographical and climatic conditions, regular and annual vaccination of household dogs against this disease, and lack of suitable conditions for the growth and survival of such micro-organisms in the environment

scholarly journals Avian Scavengers as Bioindicators of Antibiotic Resistance Due to Livestock Farming Intensification

2020 ◽  
Vol 17 (10) ◽  
pp. 3620
Author(s):  
Guillermo Blanco ◽  
Luis M. Bautista
Keyword(s):  
Bacterial Resistance ◽  
Animal Production ◽  
Commercial Application ◽  
Human Consumption ◽  
Antibiotic Residues ◽  
Farming Practices ◽  
Livestock Farming ◽  
Food Animal ◽  
Wintering Areas ◽  
Milvus Milvus

Industrial food animal production uses huge amounts of antibiotics worldwide. Livestock, their excreta used for manure and meat subproducts not intended for human consumption can all play important roles in the transmission of bacterial resistance to wildlife. Vultures and other scavengers can be directly exposed to active antibiotics ingested while feeding on livestock carcasses. This study evaluates whether bacterial resistance in the red kite (Milvus milvus) differs between two wintering areas selected based on patent differences in farming practices—particularly in the industrial production of food animals (primarily swine and poultry) vs. scarce and declining sheep herding. The results support the hypothesis that intensification in food animal production is associated with increased bacterial multidrug resistance in wildlife. Resistance was positively correlated with time elapsed since the beginning of the commercial application of each antibiotic in human and veterinary medicine, with clear differences depending on farming intensification between areas. Monitoring programs are encouraged to use red kites and other avian scavengers as valuable sentinels of contamination by antibiotics and clinically relevant resistant pathogens from livestock operations of variable intensities. Farms authorized for supplementary feeding of threatened scavengers should avoid supplying carcasses with active antibiotic residues to avoid bacterial resistance in scavenger wildlife.

scholarly journals Draft Genome Sequence of Bacillus farraginis R-6540 T (DSM 16013), a Spore-Forming Bacterium Isolated at Dairy Farms

2016 ◽  
Vol 4 (3) ◽  
Author(s):  
Jie-ping Wang ◽  
Bo Liu ◽  
Guo-hong Liu ◽  
Ci-bin Ge ◽  
Rong-feng Xiao ◽  
...  
Keyword(s):  
Heat Resistance ◽  
Genome Sequence ◽  
Draft Genome ◽  
Dairy Farms ◽  
Draft Genome Sequence ◽  
Gram Positive ◽  
Fundamental Research ◽  
Very High

Bacillus farraginis R-6540 T is a Gram-positive, aerobic, and spore-forming bacterium with very high intrinsic heat resistance. Here, we report the 5.32-Mb draft genome sequence of B. farraginis R-6540 T , which is the first genome sequence of this species and will promote its fundamental research.

scholarly journals Fertility parameters in German dairy herds: Associations with milk yield and herd size

2019 ◽  
Vol 64 (No. 11) ◽  
pp. 459-464
Author(s):  
Jörn Rethmeier ◽  
Michael Wenzlau ◽  
Martin Wagner ◽  
Steffi Wiedemann ◽  
Lisa Bachmann
Keyword(s):  
Pregnancy Rate ◽  
Milk Yield ◽  
Reproductive Performance ◽  
Dairy Farms ◽  
Herd Size ◽  
Pregnancy Rates ◽  
Conception Rate ◽  
Service Rate ◽  
Dairy Herds ◽  
Key Factor

Fertility in dairy cows has decreased over the last fifty years while milk production per cow has increased. Furthermore, dairy herds become larger resulting in fewer employees per cow, which might also influence reproductive performance. To elucidate the situation in Germany, selected parameters (conception rate, service rate, pregnancy rate, days to first insemination and days open) were studied using data on 148 herds. For statistical analysis the herds were categorized concerning milk yield: (1) < 30 kg, (2) 30‒35 kg, and (3) > 35 kg/cow/day as well as concerning herd size: (1) < 200, (2) 200‒400, (3) 400‒1000 and (4) > 1000 milking cows. There was no difference in conception rate among herds. That means on dairy farms of larger size or with high milk yield the chance of an inseminated cow to become pregnant is the same as in small herds or in herds with low milk yield. Small herds (< 200 cows) had lower pregnancy rates than larger herds (200–400 cows). The pregnancy rate in herds with different milk yield was not statistically different. Though there was a trend that dairy farms with higher milk yield (> 30 kg) had higher pregnancy rates. The statistical differences and trends of pregnancy rates are due to higher service rate in larger herds as well as in herds with high milk yield. Therefore, service rate is the key factor for high reproductive performance on dairy farms. Poor fertility is not associated with high milk yield on herd basis or large herd size but may represent inappropriate farm management.

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