scholarly journals A proposed structural approach to improve cow-claw health on Dutch dairy farms

2021 ◽  
pp. 1-8
Author(s):  
Menno Holzhauer ◽  
Ryan J. van Egmond
Keyword(s):  
Dairy Cows ◽  
Dairy Farms ◽  
Communication Style ◽  
Dairy Farmers ◽  
Dairy Farmer ◽  
Health Advice ◽  
Good Advice ◽  
Health Situation ◽  
Insight Into

Abstract Despite extensive research leading to an improved understanding of the risk factors and pathogenesis of infectious and non-infectious disorders, claw health has not structurally improved in recent decades. Several studies have shown that claw disorders harm milk production, fertility and longevity of the dairy cows and job satisfaction of the farmer. This is enough reason to structurally improve claw health on dairy farms. The focus should be on a rapid curative intervention when lameness occurs and above all the prevention of claw problems. Most claw disorder diagnoses are nowadays made during regular claw trimming by the professional trimmer or the dairy farmer. Registration of the detected disorders during claw trimming is not always done consistently, so the estimated prevalence (number of cows with a claw disorder) is in most cases an underestimation of the real prevalence. The quality of these records often makes it difficult for consultants to formulate appropriate claw health advice. To be able to give good advice on claw health, insight into the prevalence of the various hoof disorders on a farm is a key condition. However, good quality advice alone is not a guarantee for an improved claw health situation on a farm. Research has shown that in addition to high quality substantiated advice, the communication style between the consultant and the dairy farmer is essential for the interpretation and motivation of the dairy farmer to implement the advice. In this paper a 7-point plan is presented as a guidance for herd advisors who want to support dairy farmers to improve claw health.

scholarly journals Tall fescue use on dairy farms

1997 ◽  
pp. 163-167 ◽  
Author(s):  
G.D. Milne ◽  
R. Shaw ◽  
R. Powell ◽  
B. Pirie ◽  
J. Pirie
Keyword(s):  
Tall Fescue ◽  
Festuca Arundinacea ◽  
Animal Health ◽  
Dairy Farms ◽  
Moisture Stress ◽  
Dairy Farmers ◽  
Costelytra Zealandica ◽  
Listronotus Bonariensis ◽  
Summer Growth

Tall fescue (Festuca arundinacea Schreb.) is now well proven on New Zealand dairy farms as a pasture species capable of producing high levels of milk production. Compared with perennial ryegrass (Lolium perenne) it offers benefits of higher annual and summer growth, higher clover contents in pasture, higher green leaf to stem ratios in summer, reduced plant pulling, better animal health, grass grub (Costelytra zealandica) and Argentine stem weevil (Listronotus bonariensis) tolerance, tolerance of wet soils, and drought tolerance and growth. Tall fescue can be recommended for dairy farmers in areas where summer growth and quality of ryegrass is reduced by moisture stress or high temperatures, and for those willing to adjust their grazing and establishment practices to suit tall fescue. Keywords: dairy farms, Festuca arundinacea, tall fescue

scholarly journals Profitability and Correlation Between Koica Milk Shop and Dairy Farm in Selupu Rejang, Bengkulu, Indonesia

2020 ◽  
Vol 3 (2) ◽  
pp. 46-57
Author(s):  
Soeng Chat Vichea ◽  
Endang Sulistyowati ◽  
Pao Srean
Keyword(s):  
General Condition ◽  
Dairy Cow ◽  
Dairy Farm ◽  
Dairy Farms ◽  
Production Costs ◽  
Data Driven ◽  
Dairy Farmers ◽  
Dairy Farmer ◽  
Very High ◽  
New Strategies

The objective of this research was to analyze profitability and correlation between KOICA milk shop and dairy farms in Selupu Rejang, Rejang Lebong, Bengkulu, Indonesia.  Data driven were  general condition, performance of Milk Shop, performance of dairy farms, and the correlation between KOICA milk shop and dairy farmer are evaluated.  The methodology started by census that chosen only KOICA milk shop owner and dairy farmers who pooled the milk to KOICA milk shop.  Data collected then tabulated and analyzed using Excel and Regression.  The result showed that both KOICA milk shop and dairy all were gained properly benefit from dairy business. For the average, it was about IDR 6,557,057.75 per month equivalent to USD 493 as a profit in KOICA milk shop. The profit was depending on the milk production from dairy farmer only, if they couldn’t milk from dairy cow, KOICA milk shop won’t be able to earn money. The dairy farmers were also got IDR 3,620,311.09 (USD 272) per month as the average profit from milk, compost and calve.  There was very high correlation between the milk produced by dairy farmers then processed by Koica Milk Shop and its profit was r : 0.99. The discovering of this research was very valuable information, and also important to whom it may concern in dairy business as well as dairy farmers and Government for applying or understanding to develop new strategies for reducing production costs and to increase the profit by using model of whom successful in dairy business.

scholarly journals STUDY ON PRECISE FEEDING CONTROL OF DAIRY COWS BASED ON WIRELESS COMMUNICATION TECHNOLOGY AND DAIRY COW INFORMATION MANAGEMENT TECHNOLOGY

2021 ◽  
pp. 173-182
Author(s):  
Bin Li ◽  
Mingjun Ma ◽  
Chaoju Yang
Keyword(s):  
Wireless Communication ◽  
Dairy Cows ◽  
Information Management ◽  
Communication Technology ◽  
Dairy Farms ◽  
Feeding Mode ◽  
Management Technology ◽  
Feeding Methods ◽  
Feeding Control

In order to improve the quality of modern dairy industry, it is an inevitable trend to implement intensive control feeding of dairy cows, which is also the development direction in the future. Different feeding methods have different important effects on the health of dairy cows. For example, calves grow and develop rapidly during lactation, change their physiological structure quickly, have strong plasticity, poor inversion and imperfect digestive function. In the production of dairy farms, the scientific feeding mode of calves indirectly affects the overall benefits of dairy farms. Therefore, aiming at the above problems, this paper studies how to accurately control the quality of dairy cows. A cow precise feeding control system based on wireless communication technology and cow information management technology is studied, which solves the problems of wireless information transmission, automatic and accurate cow identification and dual-mode operation of feeder, and ensures the accurate supply of cow concentrate.

scholarly journals A New, Practical Animal Welfare Assessment for Dairy Farmers

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 881
Author(s):  
Frank J. C. M. van Eerdenburg ◽  
Alice M. Di Giacinto ◽  
Jan Hulsen ◽  
Bert Snel ◽  
J. Arjan Stegeman
Keyword(s):  
Dairy Cows ◽  
Animal Welfare ◽  
Dairy Farms ◽  
Dairy Farmers ◽  
Welfare Assessment ◽  
Assessment Protocol ◽  
Welfare Quality ◽  
Set Up ◽  
Category Score ◽  
Poor Welfare

The Welfare Quality® assessment protocol (WQ) is the most extensive way to measure animal welfare. This study was set up to determine if resource-based welfare indicators, that are easier and faster to measure, could replace the more time consuming, animal-based measurements of the WQ. The WQ was applied on 60 dairy farms in the Netherlands, with good, moderate and poor welfare. The WQ protocol classified most farms (87%) as ‘acceptable’. Several of the animal-based measures of WQ correlated well with measures in the environment. Using these correlations, an alternative welfare assessment protocol (new Welfare Monitor) was designed, which takes approximately 1.5 h for a farm with 100 dairy cows. Because the opinion of farmers about welfare assessment is important if one wants to improve conditions for the cows at a farm, another objective of this study was to evaluate the usefulness of the new Welfare Monitor for the farmer. Over two years, the farms were visited, and advice was given to improve the conditions at the farm. After the first welfare assessment and advice, farmers improved the conditions for their cows substantially. Farms where the category score had increased made more improvements on average than those that did not upgrade.

scholarly journals The Production, Purchase and Processing of Milk in Bosnia and Herzegovina

2018 ◽  
Vol 18 (3) ◽  
pp. 187
Author(s):  
Midhat Glavić ◽  
Amir Zenunović ◽  
Aleksandra Budiša
Keyword(s):  
Dairy Cows ◽  
Statistical Data ◽  
Raw Milk ◽  
Actual Data ◽  
Dairy Farmers ◽  
Self Sufficiency ◽  
Total Milk ◽  
Statistical Agencies ◽  
Quality Of Milk

The aim of this research was to determine the actual data available to the dairies and to compare them with the statistical data. The actual data obtained from dairy can be used for further research and development of the dairy sector. Dominant production system in BiH are small farms (3‒5 cows) dealing with mixed livestock production, with the primary goal of self-sufficiency of which only 3.5% are farms with more than 20 dairy cows. The data used in the paper were derived from statistical agencies, as well as own research in the 7 largest milk processors in B&H (purchase about 86.10% of total milk in B&H). The number of dairy farmers of these 7 largest milk producers was 9.865 in 2015 (and 15.311 in 2012), who owned a total of 49.865 dairy cows in 2015 (42.364 in 2012). Average per producers of raw milk was 5.05 cows in 2015 (or 2.77 cow per producer in 2012). Average milk production per dairy cow was 4.149 L in 2015 (and 4.026 L in 2012). E‒class quality of milk is only 77% from the deliverables milk and 68% from the number of samples.

An appraisal of area possessed under forage and pastures by dairy and non dairy farmers in district Mandi, Himachal Pradesh

2017 ◽  
Vol 2 (01) ◽  
pp. 47-49
Author(s):  
Maharaj Singh ◽  
Akesh Kumar ◽  
J. P. Upadhyay
Keyword(s):  
Himachal Pradesh ◽  
Dairy Farmers ◽  
Forage Crops ◽  
Maize Crop ◽  
Dairy Farmer ◽  
Average Area ◽  
Level Of Knowledge ◽  
Percent Area

The study was undertaken in three blocks of district Mandi and data were collected about the level of knowledge among dairy and non dairy farmers in district Mandi of Himachal Pradesh. The study reported that the highest average area under cultivated fodder found in Maize crop (0.44ha) followed by Oats (0.25ha), Sorghum (0.16ha) and Berseem (0.15ha) while per non dairy farmer the highest area (0.16ha.) recorded under Maize followed by (0.13ha) Oats, Berseem (0.11ha) and (0.08ha) under Sorghum. As the area possessed under pastures the dairy farmers noticed highest area (0.96ha.) under common pastures followed by (0.68ha) family pasture and (0.24ha). Under hortipastures while in case of per non dairy farmers the highest area (0.93ha) was found under family pasture followed by (0.91ha) common pasture and 0.36ha in hortipasture. As regards to percent area per dairy and non dairy farmers is concerned; the dairy farmers possess more area (14.17%) compared with non dairy farmers (8.43%) in forage crops while non dairy farmer possess more area (34.42%) in pasture compared to dairy farmers (26.65% area). The reasons possessing more area by non dairy farmers under pasture that the maintenance and quality of pastures was not found proper and not getting sufficient fodder out of such pastures.

Prevalence and Characteristics of Strains of Escherichia coli Isolated from Milk and Feces of Cows on Dairy Farms in Trinidad

1997 ◽  
Vol 60 (10) ◽  
pp. 1174-1181 ◽  
Author(s):  
A. A. ADESIYUN ◽  
L. A. WEBB ◽  
H. ROMAIN ◽  
J. S. KAMINJOLO
Keyword(s):  
Escherichia Coli ◽  
Dairy Cows ◽  
Dairy Farms ◽  
Microbial Quality ◽  
E Coli ◽  
Milk Samples ◽  
Bulk Milk ◽  
Quality Of Water ◽  
The Difference

The prevalence, counts, and characteristics of Escherichia coli isolated from bulk milk, composite milk, and feces of dairy cows in eight milking centers were determined. The microbial quality of water used during milking was also investigated. Of a total of 175 bulk milk samples studied, 83 (47.4%) contained E. coli compared to only 14 (4.9%) of 287 composite milk samples and the difference was statistically significant (P ≤ 0.001; χ2). The ranges in mean counts of E. coli per milliliter of bulk milk and composite milk were 8.4 × 103 to 2.0 × 105 and 2.1 × 101 to 2.0 × 102, respectively. The prevalences and mean counts of E. coli and mean pH values for bulk milk from farms with and without subclinically mastitic cows were not significantly different (P ≥ 0.05; χ2). A total of 204 (65.2%) of 313 fecal samples of dairy cows were positive for E. coli. Of the samples of water used during milking collected from 171 dairy farms, 80 (46.8%) were free of coliforms while 59 (34.5%), 12 (7.0%), and 8 (4.7%) had ranges of coliform counts per 100 ml of 1 to 50, 51 to 100, and over 250, respectively. Twenty-six (27.7%) and 17 (18.5%) of 94 strains of E. coli isolated from bulk milk were enteropathogenic E. coli (EPEC) and verocytotoxigenic E. coli (VTEC) strains, respectively. Compared with 204 fecal strains of E. coli, 16 (7.8%) and 68 (35.6%) were EPEC and VTEC strains, respectively, and the differences were statistically significant (P ≤ 0.01; χ2). Similarly, the difference in prevalence of resistance to one or more of nine antimicrobial agents between bulk milk isolates (69.6%) and fecal isolates (25.9%) was statistically significant (P ≤ 0.001; χ2), and resistance to ampicillin was the most prevalent type of resistance for strains of E. coli from bulk milk isolates. It was concluded that the relatively high counts of toxigenic E. coli in bulk milk originating from dairy farms in Trinidad could pose a health risk to consumers. The poor microbial quality of water used on farms may be an important source of contamination of milk.

scholarly journals Identification of possible causes of repeat breeding in dairy cows at Baghabari milk shed areas, Sirajgonj, Bangladesh

2017 ◽  
Vol 3 (2) ◽  
pp. 186-190
Author(s):  
Mohammed Sirajul Islam ◽  
GK Deb ◽  
Talukder Nurunnahar ◽  
Md Ershaduzzaman ◽  
MA Habib ◽  
...  
Keyword(s):  
Computer Program ◽  
Dairy Cows ◽  
Linear Model ◽  
General Linear Model ◽  
General Linear ◽  
Dairy Farmers ◽  
Feed Quality ◽  
Holstein Friesian

The present study was conducted at milk pocket areas Sahjadpur Upazila under Sirajgonj district and Shathia and Bera Upazila under the Pabna district, respectively. A total number of one hundred ninety (190) dairy farmers were surveyed randomly selecting twenty farmers from each village. All data collected were statistically analyzed using Univariate General Linear Model (GLM) procedure of SPSS computer program. Lack of balanced feed was the highest cause of repeat breeding claimed by about sixty (60%) percent farmers in this study. The highest incidence of RB was obtained in Local´Holstein Friesian crosses (69%) and lowest in Local´Sahiwal crosses (8%). From the study of present findings; it can be concluded that genotype, nutrient of feed, quality of semen, frequency of insemination and reproductive problems are the main possible causes for RB in the studied areas.Asian J. Med. Biol. Res. June 2017, 3(2): 186-190

scholarly journals Lameness in dairy cows: farmer perceptions and automated detection technology

2020 ◽  
Vol 87 (S1) ◽  
pp. 67-71
Author(s):  
Kate J. Dutton-Regester ◽  
Tamsin S. Barnes ◽  
John D. Wright ◽  
Ahmad R. Rabiee
Keyword(s):  
Dairy Cows ◽  
Dairy Herds ◽  
Dairy Farmers ◽  
Economic Implications ◽  
Farmer Perceptions ◽  
Dairy Farmer ◽  
Detection Technology ◽  
Cow Welfare ◽  
On Farm ◽  
Detection Technologies

AbstractThis Research Reflection provides an overview of three interrelated topics: (i) lameness in dairy cows, demonstrating the underpinning importance of the condition, (ii) dairy farmer detection, diagnosis and treatment of lameness and associated foot lesions as well as dairy farmer perceptions towards the condition and (iii) lameness detection technologies, and their potential application on farm to automate the detection of lameness in commercial dairy herds. The presented literature clearly demonstrates that lameness is a major health issue in dairy herds, compromising dairy cow welfare and productivity, and resulting in significant economic implications for dairy farmers. Despite this, dairy farmers fail to perceive lameness as a serious threat to their dairy business. This restricted perception of the importance of lameness may be a product of limited ability to detect lame cows. Many automated lameness detection technologies have been proposed to assist dairy farmers in managing their herds. However, limitations such as cost, performance and dairy farmer perception of the usefulness of these technologies, has lead to poor uptake. It can, therefore, be concluded that there is a need to more thoroughly evaluate the effectiveness of these technologies under on-farm conditions, potentially in the form of a demonstration farm network. This will allow generation of the necessary data required to show dairy farmers that these technologies are reliable and are economically rational for their dairy business.

scholarly journals Welfare assessment for dairy cows in loose stalls

2011 ◽  
Vol 65 (5-6) ◽  
pp. 399-408 ◽  
Author(s):  
Slavca Hristov ◽  
Zvonko Zlatanovic ◽  
Branislav Stankovic ◽  
Dusica Ostojic-Andric ◽  
Vesna Davidovic ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Dairy Cow ◽  
Qualitative Evaluation ◽  
Welfare Assessment ◽  
Assessment Protocol ◽  
Quantitative Measurements ◽  
Welfare Quality ◽  
Cow Welfare ◽  
Insight Into

In this paper, welfare assessment using the methodology of the Welfare quality ? assessment protocol for cattle (2009) was performed for dairy cows maintained in the loose system of rearing on three dairy farms. This methodology includes quantitative measurements and qualitative evaluation of certain welfare parameters, criteria and principles of welfare, as well as assessment of the overall welfare of dairy cows. The results showed that the overall level of dairy cow welfare was acceptable on two farms, and was good on one. On two farms, the state of the cows? social behavior expression was unacceptable. Furthermore, on all three farms, the expression of other types of cow behavior was not acceptable. At one farm, it was determined that the result for the absence of prolonged thirst was unacceptable. Based on these results, it can be concluded that it is necessary to improve the quality of cow welfare on these farms. The applied methodology provides a multidimensional insight into the quality of cow welfare in the loose system.

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