We examined the hypothesis that rumination time (RT) could serve as a useful predictor of various common diseases of high producing dairy cows and hence improve herd management and animal wellbeing. We measured the changes in rumination time (RT) in the days before the recording of diseases (specifically: mastitis, reproductive system diseases, locomotor system issues, and gastroenteric diseases). We built predictive models to assess the association between RT and these diseases, using the former as the outcome variable, and to study the effects of the latter on the former. The average Pseudo-R 2 of the fitted models was moderate to low, and this could be due to the fact that RT is influenced by other additional factors which have a greater effect than the predictors used here. Although remaining in a moderate-to-low range, the average Pseudo-R 2 of the models regarding locomotion issues and gastroenteric diseases was higher than the others, suggesting the greater effect of these diseases on RT. The results are encouraging, but further work is needed if these models are to become useful predictors.

Rumination time as a potential predictor of common diseases in high-productive Holstein dairy cows / Moretti, Riccardo; Biffani, Stefano; Tiezzi, Francesco; Maltecca, Christian; Chessa, Stefania; Bozzi, Riccardo. - In: THE JOURNAL OF DAIRY RESEARCH. - ISSN 0022-0299. - ELETTRONICO. - 84:(2017), pp. 385-390. [10.1017/S0022029917000619]

Rumination time as a potential predictor of common diseases in high-productive Holstein dairy cows

Moretti, Riccardo
;
Tiezzi, Francesco;Bozzi, Riccardo
Supervision
2017

Abstract

We examined the hypothesis that rumination time (RT) could serve as a useful predictor of various common diseases of high producing dairy cows and hence improve herd management and animal wellbeing. We measured the changes in rumination time (RT) in the days before the recording of diseases (specifically: mastitis, reproductive system diseases, locomotor system issues, and gastroenteric diseases). We built predictive models to assess the association between RT and these diseases, using the former as the outcome variable, and to study the effects of the latter on the former. The average Pseudo-R 2 of the fitted models was moderate to low, and this could be due to the fact that RT is influenced by other additional factors which have a greater effect than the predictors used here. Although remaining in a moderate-to-low range, the average Pseudo-R 2 of the models regarding locomotion issues and gastroenteric diseases was higher than the others, suggesting the greater effect of these diseases on RT. The results are encouraging, but further work is needed if these models are to become useful predictors.
2017
84
385
390
Moretti, Riccardo; Biffani, Stefano; Tiezzi, Francesco; Maltecca, Christian; Chessa, Stefania; Bozzi, Riccardo
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1103159
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