scholarly journals The possibility of dairy farms isolation assessment: Biosecurity aspect

2011 ◽  
Vol 27 (4) ◽  
pp. 1425-1431 ◽  
Author(s):  
B. Stankovic ◽  
S. Hristov ◽  
J. Bojkovski ◽  
Z. Zlatanovic ◽  
N. Maksimovic ◽  
...  
Keyword(s):  
Open Space ◽  
Dairy Farm ◽  
Dairy Farms ◽  
Wild Birds ◽  
Infectious Agents ◽  
Test Results ◽  
Herd Health ◽  
Green Belt ◽  
Farm Production ◽  
Questionnaire Method

The effects of general and special biosecurity measures to prevent introduction of infectious agents in a dairy farm or its spreading from farm were analyzed in details in this paper. Investigations were conducted on five different dairy farm production with different technology and capacity using a questionnaire method (Hristov and Stankovic, 2009), as well as scrutinizing their positions in relation to possible sources bio-risks from the near and far away environment. Test results showed that there are serious shortcomings on all observed farms, regarding the possibility of introduction of infectious agents in the production herd, and its possible spread to the environment. Although all fenced and a position of the most of the farms mostly favourable, there are some serious threats to the herd health and farm production, regarding open space and lack of green belt, the uncontrolled presence of wild birds and rodents in facilities and even in feed storage, as well as contact of the employees with other cows not belonging to the farm.

Farm structural change of a different kind: Alternative dairy farms in Wisconsin—graziers, organic and Amish

2008 ◽  
Vol 24 (1) ◽  
pp. 25-37 ◽  
Author(s):  
Caroline Brock ◽  
Bradford Barham
Keyword(s):  
Agricultural Landscape ◽  
Management Strategies ◽  
Dairy Farm ◽  
Farming Systems ◽  
Dairy Farms ◽  
Dairy Farming ◽  
Organic Production ◽  
Structural Trend ◽  
Farm Production ◽  
And Performance

AbstractAlthough the emergence of large confinement operations out of a system previously dominated by mid-sized confinement has been one major structural trend in Wisconsin dairy farming since the 1990s, a second structural trend has been the significant emergence of moderate-sized dairy farms using alternative management strategies: management-intensive rotational grazing (MIRG) (25% of Wisconsin's dairy farms), organic production (3%) and Amish farm production practices (5–7%). This paper presents the first systematic and representative comparative study on the structure, behavior and performance of multiple pasture-based dairy farm strategies. Wisconsin is an ideal site for this study given the prevalence of pasture-based farms, yet many of the findings here should be relevant for other traditional dairy states where similar types of alternative farm management systems are also emerging. Divergence with respect to farm strategy has implications for structure, technology and management adoption patterns as well as farmer satisfaction levels. Our findings suggest that alternative dairy farming systems are likely to become more prevalent on the agricultural landscape of Wisconsin.

Data-driven decision support tools in dairy herd health

2021 ◽  
pp. 101-118
Author(s):  
Victor E. Cabrera ◽  
Keyword(s):  
Decision Support ◽  
Production Systems ◽  
Dairy Farm ◽  
Dairy Herd ◽  
Big Data Analysis ◽  
Data Driven ◽  
Decision Support Tools ◽  
Herd Health ◽  
Farm Production ◽  
Support Tools

This chapter describes the development process of data-driven decision support tools for dairy herd management with an emphasis on real-time continuous data integration and its applications on dairy herd health. It includes concepts on big data analysis, expert systems, and artificial intelligence towards more sustainable dairy farm production systems.

Impact of animal health and welfare planning on medicine use, herd health and production in European organic dairy farms

2012 ◽  
Vol 145 (1-3) ◽  
pp. 63-72 ◽  
Author(s):  
S. Ivemeyer ◽  
G. Smolders ◽  
J. Brinkmann ◽  
E. Gratzer ◽  
B. Hansen ◽  
...  
Keyword(s):  
Animal Health ◽  
Dairy Farms ◽  
Medicine Use ◽  
Herd Health ◽  
Organic Dairy ◽  
Organic Dairy Farms

scholarly journals The Comparison of Innovative Technology Usage Levels of Dairy Farms Supported and Non-Supported by IPARD Program; A Case Study of Konya

2018 ◽  
Vol 6 (12) ◽  
pp. 1809
Author(s):  
Aykut Örs ◽  
Cennet Oğuz
Keyword(s):  
Sampling Method ◽  
Dairy Farm ◽  
Dairy Farms ◽  
Point Of View ◽  
Innovative Technology ◽  
Technology Usage ◽  
Chi Square ◽  
Production Values ◽  
Usage Level ◽  
High Level

The purpose of this study is to compare innovative technology usage levels of dairy farms, supported and non-supported by The Instrument for Pre-accession Assistance-Rural Development (IPARD) program, by scoring their usage level of 10 innovative technologies in their dairy farms. Another purpose of the study is to determine the factors associated with the innovative technology usage levels of dairy farms. The main material of the study is dairy farms supported and not supported by the IPARD program in Konya. Full count sampling method was used when determining the dairy farms supported by IPARD Program and Neyman allocation sampling method was used when determining the dairy farm non-supported by IPARD program. Research data were collected from 50 dairy farms supported by IPARD program and 100 dairy farms non-supported by IPARD program by administering a questionnaire filled during the face-to-face interviews conducted with each individual respondent. As a result of the study, it was determined that the average gross production values and gross profits of dairy farms supported by IPARD program were 4 times higher than those non-supported by IPARD program. While innovative technology usage level of dairy farms non-supported by IPARD program were entirely low level, 90% of dairy farms supported by IPARD program were high level. From the point of view of dairy farm scale, it was determined that innovative technology usage levels were high (69.84%) in dairy farms that had 51 and more milking cows. As a result of chi-square independence test, statistically significant relationship was found between innovative technology usage level of dairy farm and 12 of 13 factors.

scholarly journals Health status and bio-security plans on pig farms

2010 ◽  
Vol 26 (1-2) ◽  
pp. 29-35
Author(s):  
B. Stankovic ◽  
S. Hristov ◽  
T.J. Bojkovski ◽  
N. Maksimovic
Keyword(s):  
Health Status ◽  
Security Measures ◽  
Herd Health ◽  
Swine Herd ◽  
Farm Production ◽  
Prophylactic Measures ◽  
Pig Farm ◽  
Disease Spreading ◽  
Swine Disease ◽  
Security Standards

Preservation of necessary level of swine herd health status is the most important aspect of bio-security, farm production and successful welfare protection. It involves a list of bio-security measures which must be essential part of production technology, including good rearing conditions and other prophylactic measures appliance. According to previously performed investigations, a list of elements required to establish standards for bio-security for particular pig farm was created. The list includes elements related to assure spatial., microclimate and hygienic conditions for pigs rearing, care, nutrition and watering, surveillance, regrouping and transport of swine, disease outbreak control, barns equipment and production process organization which are performed by veterinarians and zootechnicians. Bio-security standards must concern necessary level of swine herd health status and organization, size and type of operation and anticipate all compulsory measures for health control and disease spreading prevention, particularly those whose outbreak must be reported. In bio-security plan structure present epidemiological situation, potential herd health and production threats, as well as possible solutions must be concerned.

scholarly journals Ceasing the use of the highest priority critically important antimicrobials does not adversely affect production, health or welfare parameters in dairy cows

2018 ◽  
Vol 183 (2) ◽  
pp. 67-67 ◽  
Author(s):  
Andrea Turner ◽  
David Tisdall ◽  
David C Barrett ◽  
Sarah Wood ◽  
Andrew Dowsey ◽  
...  
Keyword(s):  
Health Planning ◽  
Animal Health ◽  
Dairy Farms ◽  
Herd Health ◽  
Mobility Data ◽  
Political Concern ◽  
Barriers To Change ◽  
Animal Medicine ◽  
Recorded Data ◽  
Cattle Health

Due to scientific, public and political concern regarding antimicrobial resistance (AMR), several EU countries have already taken steps to reduce antimicrobial (AM) usage in production animal medicine, particularly that of the highest priority critically important AMs (HP-CIAs). While veterinarians are aware of issues surrounding AMR, potential barriers to change such as concerns of reduced animal health, welfare or production may inhibit progress towards more responsible AM prescribing. Farmers from seven dairy farms in South West England engaged in changing AM use through an active process of education and herd health planning meetings. Prescribing data were collected from veterinary sales records; production and health data were accessed via milk recording and farm-recorded data. This study demonstrates that cattle health and welfare—as measured by production parameters, fertility, udder health and mobility data and culling rates—can be maintained and even improved alongside a complete cessation in the use of HP-CIAs as well as an overall reduction of AM use on dairy farms. This study also identified a need to consider different metrics when analysing AM use data, including dose-based metrics as well as those of total quantities to allow better representation of the direction and magnitude of changes in AM use.

Persepsi Masyarakat Mengenai Peranan Vegetasi Kawasan Sabuk Hijau Di Sempadan Sungai DAS Wae Batu Gajah

MAKILA ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 14-28
Author(s):  
Sitna Marasabessy ◽  
Bokiraiya Latuamury ◽  
Iskar Iskar ◽  
Christy C.V. Suhendy
Keyword(s):  
Formal Education ◽  
Open Space ◽  
Testing Procedure ◽  
Chi Square ◽  
Green Belt ◽  
Minimum Requirement ◽  
Environmentally Sustainable ◽  
Long Time ◽  
Hypothesis Testing Procedure ◽  
And Behavior

Green open space is at least a minimum requirement for an environmentally sustainable city at 30% of the total area. Pressure on green free space, especially the Green belt area in the river border, tends to increase from year to year due to an increase in urban population. Therefore, this study aims to analyze people's perceptions of the green belt vegetation's role in the watershed of the Wae Batu Gajah watershed in Ambon City. The research method uses descriptive methods that describe a situation based on facts in the field and do not treat the object, with the hypothesis testing procedure using Chi-Square. The results showed that the community's socio-economic parameters consisting of age, formal education, and occupation had a significant influence on the understanding of the green border of the river. In contrast, gender and marital status parameters have no significant effect on understanding the green belt border. Formal education can influence attitudes and behavior through values, character, and understanding of a problem built in stages in a person. The type of work a person has for a long time working will affect the environment's mindset and behavior. The poor only have two sources of income, through salaries / informal business surpluses for basic needs.

Key issues in dairy herd health management

2021 ◽  
pp. 3-26
Author(s):  
John Remnant ◽  
◽  
James Breen ◽  
Peter Down ◽  
Chris Hudson ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Business Models ◽  
Health Management ◽  
Dairy Farm ◽  
Dairy Herd ◽  
Population Level ◽  
Holistic Approach ◽  
Herd Health ◽  
Health Target ◽  
Cow Health

Dairy herd health management benefits dairy farmers, the environment, dairy cows and citizens. It is an important part of modern dairy farm veterinary care. Dairy herd health management is assessing, monitoring and improving the health of dairy cows at a population level. Good herd health management takes a holistic approach and is ongoing and cyclical. All members of the dairy farm team and their advisors are involved, decisions are informed by data generated by the herd. These data may come from numerous sources. The data are processed and analysed to monitor cow health, target investigations and evaluate progress. To make lasting change on farms, advisors must communicate appropriately with farm managers to understand behaviour and motivate change. This chapter reviews these aspects of dairy herd health management, giving practical suggestions on how to get started, how to incorporate herd health management into business models and how to maintain momentum.

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