Case Study: Assessment of human-conditioned sorting behavior in dairy cows in farm research trials

2018 ◽  
Vol 34 (6) ◽  
pp. 664-670 ◽  
Author(s):  
Diego Manriquez ◽  
Liang Chen ◽  
Gabriel Albornoz ◽  
Juan Velez ◽  
Pablo Pinedo
Keyword(s):  
2007 ◽  
Vol 23 (5) ◽  
pp. 546-555 ◽  
Author(s):  
R. Burgos ◽  
L.J. Odens ◽  
R.J. Collier ◽  
L.H. Baumgard ◽  
M.J. VanBaale

2018 ◽  
Vol 101 (11) ◽  
pp. 10271-10282 ◽  
Author(s):  
I.D.E. van Dixhoorn ◽  
R.M. de Mol ◽  
J.T.N. van der Werf ◽  
S. van Mourik ◽  
C.G. van Reenen
Keyword(s):  

Animals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 3318
Author(s):  
Rosangela Odore ◽  
Ilaria Biasato ◽  
Giulia Gardini ◽  
Antonio D’Angelo ◽  
Claudio Bellino

The up-to-date literature suggests that the compost-bedded pack barn housing system is capable of remarkably improving productive and reproductive performance, as well as health status and welfare, in dairy cattle. However, there is currently limited knowledge available on the endocrine and biochemical changes in animals housed in such alternative systems. Therefore, this study aimed to measure blood cortisol (COR) and beta-endorphins (BE) in 22 two-year-old primiparae Fleckvieh cows, who were randomly allotted to the following two different housing systems: CB (n = 11) and FB (n = 11). Blood samples were collected at the beginning of the experiment (T0) and every two months thereafter (T1, T2, and T3). The COR and BE were measured through an immunoenzymatic kit. With the only exception being T0, no differences were observed over time between the two groups, neither for COR nor for BE. However, the blood cortisol levels of the CB cows decreased over time, while a T1 peak was identified in the FB group. On the contrary, both the housing systems displayed numerically higher BE at T3 than at the other experimental times. Therefore, the overall data suggest that the compost-bedded pack barn did not significantly affect the studied parameters. Accordingly, cow welfare should be assessed using a wider panel of animal-based indicators.


2019 ◽  
Vol 33 ◽  
pp. 59-62 ◽  
Author(s):  
Ediane Zanin ◽  
Gosia Zobel ◽  
Andressa A. Cestari ◽  
José A. Fregonesi
Keyword(s):  

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