Factors affecting drinking water intake and predictive models for lactating dairy cows

2019 ◽  
Vol 254 ◽  
pp. 114194
Author(s):  
R.N.S. Torres ◽  
H.M. Silva ◽  
A.B. Donadia ◽  
L. Menegazzo ◽  
M.L.M. Xavier ◽  
...  
1998 ◽  
Vol 66 (3) ◽  
pp. 543-550 ◽  
Author(s):  
R. J. Dewhurst ◽  
N. W. Offer ◽  
C. Thomas

AbstractThe objective of this study was to investigate the effects of silage characteristics on water intake of lactating dairy cows and to examine the prediction of water intake. Sixteen grass silages, differing in fermentation and intake characteristics, were offered ad libitum to dairy cows in early lactation supplemented with 7 kg/day of concentrate (13·3 MJ metabolizable energy per kg dry matter (DM) and 216 g crude protein per kg DM). Four silages were offered in each of four incomplete change-over design experiments, consisting of three 3-week periods. Water intakes were recorded through individual Kent water meters and press water bowls over the final week of each period. Tree (drinking) water intake ranged from 20·1 to 89·9 (mean = 45·2; s.d. = 12·96) I/day whilst total water intake (also including food water) ranged from 48·4 to 123·8 (mean = 87·3; s.d. = 14·12) I/day. Water intake increased with increasing silage DM concentration, however free water replaced silage water at a rate less than 1. Milk yield and silage D value (digestible organic matter, g/kg DM) were strongly positively correlated with free water intake (r = 0·751 and 0·595 respectively), though fermentation indices were not good single predictors of water intake. Further analysis revealed problems owing to collinearity within the predictors of water intake: DM intake, silage D value and milk yields being significantly correlated, as were pH and volatile fatty acids as a proportion of total fermentation acids. The ridge regression technique was used to reduce collinearity problems and produce stable equations. The best prediction equations for water intake involved a combination of both animal and analytical information: diet DM concentration, milk yield and silage pH. The use of fermentation information, whether from titration or high-performance liquid chromatography did not describe real variation in water intake beyond that described by silage pH. Free water intake was higher with higher diet DM concentrations, higher milk yields and higher silage pH.


2004 ◽  
Vol 90 (2-3) ◽  
pp. 117-121 ◽  
Author(s):  
Ulrich Meyer ◽  
Matthias Everinghoff ◽  
Dieter Gädeken ◽  
Gerhard Flachowsky

2002 ◽  
Vol 57 (4) ◽  
pp. 1251-1261 ◽  
Author(s):  
F López-Gatius ◽  
P Santolaria ◽  
J Yániz ◽  
J Rutllant ◽  
M López-Béjar

2020 ◽  
Vol 50 (4) ◽  
pp. 147-163
Author(s):  
Dawid Szpak ◽  
Janusz R. Rak ◽  
Krzysztof Boryczko ◽  
Izabela Piegdoń ◽  
Jakub Żywiec

AbstractThe purpose of the work is to analyze the risk for surface water intake, taking into account factors affecting the water quality. A three-parameter risk definition was proposed. It was found that the analyzed water intake has an efficient system that protects consumers against drinking water of inadequate quality (multibarier system). The task of the water supply company is to maintain its security measures (including a caution and warning station, biomonitoring) in a state of efficiency.


Author(s):  
A. J. Rook ◽  
J. D. Sutton ◽  
J. France

Milk producers in the UK are paid according to their production of milk fat, protein and lactose. The production quota system also includes an element restricting fat production. It is therefore important to be able to predict the changes in production of milk solids arising from changes in feed inputs. There are few published predictive models for this purpose (e.g. Sporndly 1989, Emery, 1978) and none under UK conditions. This is a preliminary study to identify and quantify some of the factors affecting yields of milk constituents as a first stage in the development of predictive models.


2014 ◽  
Vol 97 (12) ◽  
pp. 7685-7690 ◽  
Author(s):  
Tracy A. Burnett ◽  
Augusto M.L. Madureira ◽  
Bruna F. Silper ◽  
Audrey Nadalin ◽  
Abdolmansour Tahmasbi ◽  
...  

2010 ◽  
Vol 70 (2) ◽  
pp. 328-336 ◽  
Author(s):  
Ana Valeria González Pereyra ◽  
Verónica Maldonado May ◽  
Carlos Guillermo Catracchia ◽  
María Alejandra Herrero ◽  
Myriam Celina Flores ◽  
...  

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