Immunodetection of Ostertagia ostertagi in Cattle Milk Samples in Wasit Province

2017 ◽  
Vol 1 (28) ◽  
pp. 637-648
Author(s):  
Abbas Hassan Khlaty Al-Sray
Keyword(s):  
Milk Production ◽  
Herd Size ◽  
Elisa Test ◽  
Production Factor ◽  
Size Factor ◽  
Ostertagia Ostertagi ◽  
Milk Samples ◽  
Management Group ◽  
Breed Group ◽  
Age Factor

The aim of present study was to detect the seroprevalence of Ostertagia ostertagi specific antibodies in cattle milk samples in Wasit province, by using the indirect ELISA test for first time in Iraq. For this purpose, an overall 368 dairies cow was submitted for study and the results were revealed that 51 (13.86 %) of tested cows were positive, and the mean optic density ratios (ODRs) of ELISA test values in seropositive cattle were 0.58. Also, this study aimed to investigate an association of seropositive results with some epidemiological risk factors. Hence, the positive results, according to these factors, were as follow: in milk production factor, 6.32 % for ³18 liters/day group, 14.29 % for ³10-18 liters/day group, and 25 % for < 10 liters/day group; in age factor, 13.41% for ³3-6 years group, and 14.75% for >6 years group; in breed factor, 18.27% for local breed group, 12.17% for cross-breed group, and 12% for pure breed group; in farm management factor, 21.35% for bad management group, and 5.68% for good management group; and in herd size factor, 11.59% for <25 (cow/herd) group, and 17.78% for ³ 25 (cow/herd) group. Statistically, the significant differences (P£ 0.05) were observed among related groups of milk production, breed, husbandry management, and herd size factors; while it’s not reported among groups of age factor.

scholarly journals Predicting the effect of anthelmintic treatment on milk production of dairy cattle in Canada using an Ostertagia ostertagi ELISA from individual milk samples

2013 ◽  
Vol 111 (1-2) ◽  
pp. 63-75 ◽  
Author(s):  
Raphaël Vanderstichel ◽  
Ian Dohoo ◽  
Javier Sanchez ◽  
Fortune Sithole ◽  
Gregory Keefe ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Anthelmintic Treatment ◽  
Ostertagia Ostertagi ◽  
Milk Samples

scholarly journals Effect of Mixed Invasions of Hypoderma bovis and Ostertagia ostertagi in Cattle on Milk Yield and Contents in Polish Dairy Farms

Animals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 464
Author(s):  
Agnieszka Wiszniewska-Łaszczych ◽  
Beata Wysok ◽  
Joanna Wojtacka ◽  
Marta Sołtysiuk
Keyword(s):  
Milk Yield ◽  
Dry Matter ◽  
Negative Impact ◽  
Wide Distribution ◽  
Elisa Test ◽  
Antibody Detection ◽  
Ostertagia Ostertagi ◽  
Milk Samples ◽  
Lactating Cows ◽  
Hypoderma Bovis

Wide distribution of ecto- and endoparasites in cattle is a serious problem in the sustainability of a farm, due to the negative impact on animals’ health and productivity. The aim of this study was to determine the presence of antibodies against Ostertagia and Hypoderma in udder milk samples and the comparison of milk yield and content of the basic components of milk in ELISA-positive and ELISA-negative cows. Milk samples were collected from 148 lactating cows from 3 herds. Antibody detection was performed using specific ELISAs for Ostertagia ostertagi and Hypoderma bovis. Milk yield and content of protein, fat, and dry matter were studied in samples from each individual cow 11 times per year at 4 week intervals. The extensiveness of dual parasitic invasions in individual herds, estimated on the basis of udder milk testing with the ELISA test, varied and amounted to 3.22%, 11.36%, and 4.76% in the three studied herds, respectively. No antibodies were found in 61.2%, 22.7%, and 57.1% of the milk samples from the cows in each herd. The milk yield of ELISA-positive cows was significantly lower in comparison to the efficiency of ELISA-negative cows and amounted to 294 kg and even to 3672 kg of milk per year, per cow. No significant differences were found between the fat and protein contents of milk between ELISA-positive and -negative cows for both parasites.

Sources and uses of information on a West Coast dairy farm

2002 ◽  
pp. 31-32
Author(s):  
C. Van der Geest
Keyword(s):  
Milk Production ◽  
Time Pressure ◽  
Data Gathering ◽  
Technical Information ◽  
Dairy Farm ◽  
Farming System ◽  
Herd Size ◽  
Financial Benefit ◽  
Nitrogen Response ◽  
Directional Information

I am a 30-year-old sharemilker on my parent's 600 cow developing farm near Blackball on the western side of the Grey Valley. Earlier this year I competed in the National Young Farmer of the Year competition and finished a close third. So what is information? There are two types of information that I use. There is data gathered from my farm to help fine tune the running of the day to day operations on the farm And directional information This is the information that arrives in papers and directs the long-term direction and plans of the farm and farming businesses. Due to the variability in weather on the Coast there is a greater need to monitor and adjust the farming system compared to an area like Canterbury. This was shown last year (2001/02) when the farm was undergoing a rapid period of development and I was under time restraints from increasing the herd size, building a new shed as well as developing the farm. The results of the time pressure was that day to day information gathering was lower resulting in per cow production falling by 11% or around $182 per cow. So what information was lacking that caused this large drop in profit. • Pasture growth rates • Cow condition • Nitrogen requirements • Paddock performance • Milk production • Pre-mating heat detection As scientists and advisers I hear you say that it is the farmer's responsibility to gather and analyse this information. You have the bigger topics to research and discover, gene marking, improving pasture species, sexing of sperm and ideas that I have not even contemplated yet. This is indeed very valuable research. Where would farming be without the invention of electric fences, artificial breeding and nitrogen research? But my problem is to take a farm with below average production to the top 10% in production with the existing technology and farming principles. I have all the technical information I need at the end of a phone. I can and do ring my consultant, fertiliser rep, vet, neighbour and due to the size and openness of New Zealand science, at present if they do not know I can ring an expert in agronomy, nutrition, soils and receive the answer that I require. I hope that this openness remains as in a time of privatisation and cost cutting it is a true advantage. I feel that for myself the next leap in information is not in the growing of grass or production of milk but in the tools to collect, store and utilise that information. This being tied to a financial benefit to the farming business is the real reason that I farm. Think of the benefits of being able to read pasture cover on a motorbike instantly downloaded, overlaying cow intake with milk production, changes in cow weight, daily soil temperature and predicted nitrogen response. Telling me low producing cows and poor producing paddocks, any potential feed deficits or surpluses. This would be a powerful information tool to use. The majority of this information is already available but until the restraints of time and cost are removed from data gathering and storage, this will not happen.

COST OF MILK PRODUCTION AND BREAK EVEN ANALYSIS OF MEMBER AND NON MEMBER OF DAIRY COOPERATIVE SOCIETY FOR MILCH ANIMALS (COW & BUFFALO) IN DISTRICT ETAWAH OF U.P.

2014 ◽  
Vol 2 (1) ◽  
pp. 30-37
Author(s):  
Ashish Chandra ◽  
Dr. A. K. Dubey ◽  
Dr. Sachin Kumar Srivastava
Keyword(s):  
Milk Production ◽  
Herd Size ◽  
Total Cost ◽  
Minimum Quantity ◽  
Cooperative Society ◽  
Point Analysis ◽  
Large Herd ◽  
Breakeven Point

This study covered 150 cooperative member milk producers and 150 non-member milk producers which were post- stratified into Landless, Marginal, small, medium and large herd size categories. Breakeven point is a point where no profit no loss status achieved where MR = MC. In this study breakeven point analysis was done to estimate the minimum quantity milk to be produced to cover the total cost on all categories (members and nonmembers) of households of milch animals (Cow and buffalo). And also in this study the researchers have find out the Total cost of milk production per liter for member and non member categories. This study is helpful to find out the total cost of milk production in all categories as well as members and nonmembers of dairy cooperative society are able to find out the breakeven point of the whole business.

scholarly journals Adoption of Good Management Practices by the Gaushalas (Cow-shed) in Karnataka State, India

2020 ◽  
pp. 1-9
Author(s):  
Kalyan Mandi ◽  
S. Subash
Keyword(s):  
Milk Production ◽  
Management Practices ◽  
In Situ Conservation ◽  
Herd Size ◽  
Vital Role ◽  
General Management ◽  
Good Management ◽  
Large N ◽  
Karnataka State

Gaushalas play a vital role in safeguarding the cattle wealth of our country. It is primarily occupied with providing shelter to cows and is catering mostly the needs of non-lactating, weak, unproductive and stray cattle. However, a few fore front Gaushalas also maintain nucleus herd for in-situ conservation of indigenous purebred cows and produce quality males so as to enhance productivity of indigenous breeds. With this view, present study was undertaken with the objective of understanding the level of adoption of good management practices by the Gaushalas. The study was conducted in Karnataka State involving 40 out of 80 registered Gaushalas, categorized as small (n=12), medium (n=18) and large (n=10) Gaushalas based on the herd size. Good management practices play an important role in improving the production performances of cattle, enhancing efficiency of animals in Gaushalas. In the present study ‘adoption’ was operationalised as the degree to which the good management practices viz., breeding, feeding, healthcare, general management and hygienic milk production, were adopted in the Gaushalas.

scholarly journals Effect of Region, Herd Size, and Milk Production on Reasons Cows Leave the Herd

2000 ◽  
Vol 83 (12) ◽  
pp. 2980-2987 ◽  
Author(s):  
J.W. Smith ◽  
L.O. Ely ◽  
A.M. Chapa
Keyword(s):  
Milk Production ◽  
Herd Size

scholarly journals The Occurrence of Aflatoxin M1 in Milk, soft cheese and yoghurt in Baghdad Province by Using ELISA Test

2014 ◽  
Vol 38 (2) ◽  
pp. 9-16
Author(s):  
Najim Hadi Najim
Keyword(s):  
Dairy Products ◽  
Raw Milk ◽  
Elisa Test ◽  
Mean Value ◽  
Aflatoxin M1 ◽  
Contamination Level ◽  
Milk Samples ◽  
White Cheese ◽  
The Mean ◽  
Milk And Dairy Products

     Milk and dairy products are fundamental components in the human diet and may be the principle way for entrance of Aflatoxin M1 (AFM1) in to the human body. All milk and dairy products samples were tested for the occurrence of AFM1 by the competitive ELISA technique. Out of 32 bovine raw milk samples that were collected from eight villages around Baghdad province, 32 samples (100 %) were contaminated with AFM1 ranging from 0.15 to 86.96ng/kg with mean value of 42.37±26.07 ng/kg, of which 17 samples were contaminated with concentrations < 50 ng/kg and 15 samples exceeded the maximum acceptable level of AFM1 in milk (50 ng/kg) imposed by the European legislation. The raw milk samples belonged to animals fed with composite and stored fodder as in Althahab Alabiadh, Radhwaniya and Fadhaliya villages had higher significantly AFM1 concentrations over all the other five villages (Grazing feed). All 32 (100%) locally produced soft white cheese samples analyzed were contaminated with AFM1 ranging from 31.84 to 89.44 ng/kg with the mean value of 59.92±17.03 ng/kg. Out of 32 locally produced yoghurt samples analyzed, 32 samples (100%) were contaminated with AFM1 ranging from 0.16 to 42.74 ng/kg with the mean value of 16.92±11.55 ng/kg. Thirty samples (100%) of the examined 30 imported UHT milk samples that were collected from different commercial companies in the province of Baghdad presented significantly  high contamination level with AFM1 that were found to range from 0.18 to 85.66 ng/kg.

scholarly journals Milk production and lactation length in Ankole cattle and Ankole crossbreds in Rwanda

2020 ◽  
Vol 52 (6) ◽  
pp. 2937-2943
Author(s):  
Maximillian Manzi ◽  
Lotta Rydhmer ◽  
Martin Ntawubizi ◽  
Claire D’Andre Hirwa ◽  
Callixte Karege ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Mixed Linear Model ◽  
Yield Data ◽  
Ankole Cattle ◽  
Lactation Length ◽  
Breed Group ◽  
Significant Difference ◽  
Daily Milk Yield ◽  
Daily Milk

Abstract This study assessed daily milk yield (DMY), 100-day (MY100), and 305-day (MY305) milk yield, and lactation length (LL) in purebred Ankole cattle and Ankole crossbreds, and the influence of environmental factors on these traits. Milk yield data were obtained for 865 cows and 1234 lactations and analyzed using a mixed linear model. The overall least squares mean of DMY, MY100, and MY305 across breed groups was 2.7 L (N = 1234, SD = 1.7), 262 L (N = 959, SD = 176), and 759 L (N = 448, SD = 439), respectively, while the average lactation length was 256 days (N = 960, SD = 122). All factors included (breed group, season and year of calving, and parity) were significant for yield traits, except season of calving for MY305. First-parity cows had the lowest milk production, and fourth-parity cows the highest. For all traits, pure Ankole cows had the lowest milk yield. Among the crossbreds, there was no significant difference between Ankole × Friesian, Ankole-Jersey mother × Sahiwal sire, and Ankole-Sahiwal mother × Jersey sire, or between Ankole × Sahiwal and Ankole-Sahiwal mother × Sahiwal sire. It was concluded that Ankole crosses with Friesian or Jersey can be beneficial, even under a management system of limited nutrition as in Rwanda.

scholarly journals Associations between milking technology, herd size and milk production parameters on commercial dairy cattle farms

2020 ◽  
Vol 70 (2) ◽  
pp. 103-111
Author(s):  
Dorottya Ivanyos ◽  
László Ózsvári ◽  
István Fodor ◽  
Csaba Németh ◽  
Attila Monostori
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Milk Yield ◽  
Linear Models ◽  
Herd Size ◽  
Exact Test ◽  
Production Parameters ◽  
Daily Milk Yield ◽  
Cattle Farms ◽  
Daily Milk

The aim of the study was to survey the milking technology and to analyse the associations between milking parlour type, herd size, and milk production parameters on dairy cattle farms. The milking technology was surveyed by using a questionnaire in 417 Hungarian dairy herds with 177,514 cows in 2017, and it was compared with their official farm milk production data. The surveyed farms were categorized according to their size (1-50, 51-300, 301-600, and &gt;600 cows) and to their milking parlour types (herringbone, parallel, carousel, and others). The relationships were analysed by multivariate linear models, one-way ANOVA, and Fisher’s exact test. Pairwise comparisons were performed by Tukey’s post hoc tests. The prevailing type of milking parlour was herringbone (71.0 %), but on larger farms the occurrence of parallel and carousel parlours increased (p&lt;0.001). The number of milking stalls per farm increased with herd size (p&lt;0.001). Farms with herringbone parlour had significantly smaller number of milking stalls than that of parallel (p=0.022) and carousel (p&lt;0.001) parlours, and the cows were mostly milked two times, while in carousel milking parlours mostly three times a day. As the herd size increased, so did daily milk yield (p&lt;0.001) and daily milk production per cow (p&lt;0.001). Herd size was associated with somatic cell count (p&lt;0.001). The type of milking parlour showed significant association with daily milk yield (p=0.039) and dairy units with herringbone milking system had the lowest milk quality. Our findings show that herd size has greater impact on milk production parameters than milking technologies.

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