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Determining the prevalence of metabolic disorders in dairy cattle using precision dairy farming technologies (CROSBI ID 696340)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija

Poljak, Franjo ; Mijić, Pero ; Lončarić, Zdenko ; Steiner, Zvonimir ; Gantner, Vesna Determining the prevalence of metabolic disorders in dairy cattle using precision dairy farming technologies // Zbornik skupa Znanstveni skup „Održivi razvoj poljoprivrede i turizma u kontekstu klimatskih promjena“ / Krapac, M. ; Ban, Goreta S. (ur.). Poreč: Institut za poljoprivredu i turizam Poreč, 2020. str. 96-97

Podaci o odgovornosti

Poljak, Franjo ; Mijić, Pero ; Lončarić, Zdenko ; Steiner, Zvonimir ; Gantner, Vesna

engleski

Determining the prevalence of metabolic disorders in dairy cattle using precision dairy farming technologies

Metabolic disorders of dairy cows, primarily ketosis and acidosis, are one of the most significant problems in dairy herd management. Numerous studies have shown that metabolic disorders induce economic losses for milk producers due to treatment costs, reduced milk production, impaired reproduction, and ultimately increased animal excretion rates. Given the above, and for the purpose of sustainable management of the dairy herd, it is extremely important to detect as early as possible the cows that are at risk of subclinical metabolic disorders and to prevent the development of the clinical form in time. On dairy farms, milk recording is performed every month, which includes the collection of data on the productivity of dairy cattle that are in the system of breeding and selection work. The results of milk recording, in addition to being, together with the pedigree data, the basis for calculating the breeding value of cattle, and for the implementation of selection in accordance with the breeding program of each breed, also allow the breeder to improve dairy herd management and timely detection of metabolic disorders in the subclinical phase using precision dairy farming technologies. The daily content of milk fat and protein represents the basis for estimating the prevalence, with the optimal values of the ratio of milk fat and protein being 1.1 - 1.5, while the deviation from the same indicates the prevalence of acidosis or ketosis. The aim of this study was to determine the prevalence of subclinical disorders of Simmental and Holstein cows depending on the season by applying precision dairy farming technologies that is the results of milk recording.

metabolic disorders ; dairy cows ; precision dairy farming ; milk recording

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Podaci o prilogu

96-97.

2020.

objavljeno

Podaci o matičnoj publikaciji

Zbornik skupa Znanstveni skup „Održivi razvoj poljoprivrede i turizma u kontekstu klimatskih promjena“

Krapac, M. ; Ban, Goreta S.

Poreč: Institut za poljoprivredu i turizam Poreč

978-953-7296-28-5

Podaci o skupu

Znanstveni skup: Održivi razvoj poljoprivrede i turizma u kontekstu klimatskih promjena

predavanje

12.11.2020-12.11.2020

Poreč, Hrvatska

Povezanost rada

Poljoprivreda (agronomija)