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Kontrola výživy a metabolismu dojnic v chovu s automatizovaným systémem krmení a dojení
Záboj, Dominik
The aim of the thesis was to evaluate the effect of changing the technology of feed loading (conventional feed wagon loading vs. automated feed loading) on the content of milk components, especially on the concentration of urea as an indicator of feed balance over time. For the analysis of the milk constituent content in relation to ration balance, individual samples from the performance check, pool samples analysed by the dairy and herd averages from the Lely Astronaut A4 milking robot were used, which were collected from 1st January 2021 to 31st December 2022. The results of the study document that the change in feeding technology had neither a positive nor a negative effect on the milk constituent content. Statistical evaluation revealed only a significant difference in the number of somatic cells in milk (p < 0.01). Other evaluated milk composition parameters (protein, fat, lactose, urea) were not significantly affected by the change in feeding technology (p > 0.05). In the correlation test between pool samples and individual samples, statistically significant correlations were found for urea (r = 0.66), fat (r = 0.45) and somatic cell count (r = 0.63) at a significance level of p < 0.05. However, correlation analysis of milk testing results from robotic milking with data from pool samples and individual performance control samples yielded inconsistent data, with a positive correlation found only between the mean somatic cell count from the robotic milking parlor and individual KU samples (r = 0.22). In a set of examinations of individual milk samples from KU (n = 2112), correlation analysis was performed between all determined components. Statistically significant correlations (p < 0.05) were found between protein and fat (r = 0.82), lactose and fat (r = 0.68), somatic cell count and fat (r = 0.13), urea and fat (r = 0.45), lactose and protein (r = 0.80), somatic cell count and protein (r = 0.13), urea and protein (r = 0.47) and for urea and lactose (r = 0.45). It is clear from the results that the results of the analysis of milk from the robotic milking parlour differ from the standard values found in performance monitoring and in the examination of pool milk samples, which thus appear to be more suitable for monitoring nutrition and metabolism.

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