National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Digitálna dermatitída a jej dopad na produkčné a ekonomické ukazatele
Bončová, Barbora
Hoof health problems are a concern in all dairy farms worldwide, impacting the well-being of cows and productivity, which directly affects the farm’s economy. One of the most widespread diseases is digital dermatitis (DD). The subject of this work was to evaluate the incidence of digital dermatitis based on parity and lactation phase on dairy farm with approximately 700 Holstein cows. An experiment was conducted to determine the correlation between disease presence and milk yield. ANOVA with repeated measures was used as statistical analysis, with the dependant variable being average daily milk yield. Dairy cows were divided into four groups based on parity and lactation phase. Furthermore, the course of lactation was examined during the period of nine weeks with hooves treated in fifth week. The cost of digital dermatitis was calculated per sick cow and for the entire farm using multiple models for comparison. Results showed that primiparous cows had the highest incidence of the disease, and numbers decreased with increasing parity. The incidence of digital dermatitis was approximately 12% in the observed group. A statistical dependence was confirmed in only one group, specifically in dairy cows during the second and third lactation in the second phase. After treatment, a few weeks of reduced milk production were noted, while cows with DD had higher milk yield during the study period. This suggests that high-productive cows have a higher predisposition to DD. The calculated costs per cow ranged from 1,488.66 to 2,234.51 CZK across different models, with total costs for the company ranging from 113,784.67 to 193,545.32 CZK per year.
Porovnání získaných informací o množství nadojeného mléka z kontroly užitkovosti a z dojírenských systémů
Žáková, Monika
The aim of this thesis was to compare milking data from farm productivity control and milking systems. Data collection using a PDA was used here as part of a performance check when milk from each dairy cow was recorded manually from a currently calibrated measuring system. The data from the milking system was downloaded from the Farmsoft program, which is used on farms to manage the herd. The comparison took place in 90 dairy cows when 3 lactations were evaluated from each. The difference between the data from the milking parlour system and the KU was confirmed on one of the three farms with more than a 5% probability. The average difference between milk yield was 4.2 kg and the maximum deviation reached 54.1 kg. Several possibilities have been identified as reasons for the difference. The first option is an inappropriate identification device in the form of responders on collars, when there is greater damage and the impossibility of loading dairy cows at the milking parlour. Subsequently, it is possible to point to the different techniques of the milking parlours, where the technology from the BouMatic farm appears to be less reliable. Another possible cause is a misconfiguration of the milking technology with the computer system. Further research into the possible causes of poor identification of dairy cows and the acquisition of innovative technologies for animal identification is recommended.

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