Literature DB >> 29154735

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

Riccardo Moretti1, Stefano Biffani2, Francesco Tiezzi3, Christian Maltecca3, Stefania Chessa2, Riccardo Bozzi1.   

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.

Entities:  

Keywords:  Rumination; animal welfare; dairy cow; predictive model

Mesh:

Year:  2017        PMID: 29154735     DOI: 10.1017/S0022029917000619

Source DB:  PubMed          Journal:  J Dairy Res        ISSN: 0022-0299            Impact factor:   1.904


  3 in total

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Authors:  Damiano Cavallini; Ludovica M E Mammi; Alberto Palmonari; Ruben García-González; James D Chapman; Dereck J McLean; Andrea Formigoni
Journal:  Animals (Basel)       Date:  2022-08-19       Impact factor: 3.231

2.  Performance, Feeding Behavior and Immune Response in Nellore and Angus × Nellore Steers Fed Whole Shelled Corn Diets with or without Fiber.

Authors:  Aline Castro Rodrigues; Priscilla Dutra Teixeira; Daniel Rume Casagrande; Ana Paula Peconick; Tamara Cristina Coelho; Pedro Veiga Rodrigues Paulino; Márcio Machado Ladeira
Journal:  Animals (Basel)       Date:  2022-10-06       Impact factor: 3.231

3.  Unraveling the Relationship between Milk Yield and Quality at the Test Day with Rumination Time Recorded by a PLF Technology.

Authors:  Rosanna Marino; Francesca Petrera; Marisanna Speroni; Teresa Rutigliano; Andrea Galli; Fabio Abeni
Journal:  Animals (Basel)       Date:  2021-05-28       Impact factor: 2.752

  3 in total

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