Relationship of goat milk flow emission variables with milking routine, milking parameters, milking machine characteristics and goat physiology

The aim of this paper was to study the relationship between milk flow emission variables recorded during milking of dairy goats with variables related to milking routine, goat physiology, milking parameters and milking machine characteristics, to determine the variables affecting milking performance...

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Bibliographic Details
Published in:Animal (Cambridge, England) England), 2017-11, Vol.11 (11), p.2070-2075
Main Authors: Romero, G., Panzalis, R., Ruegg, P.
Format: Article
Language:English
Subjects:
Agricultural practices
Animals
dairy goat
Dairying - methods
Emission analysis
Farming systems and environment
Farms
Female
Goat's milk
Goats
Goats - physiology
Lactation
Lag time
Milk
Milk - metabolism
milk flow
Milking
milking machine
milking parameters
milking routine
Parity
Physiology
Pulsation
Research Article
Studies
Vacuum
Variance analysis
Wisconsin
Yield
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Summary:The aim of this paper was to study the relationship between milk flow emission variables recorded during milking of dairy goats with variables related to milking routine, goat physiology, milking parameters and milking machine characteristics, to determine the variables affecting milking performance and help the goat industry pinpoint farm and milking practices that improve milking performance. In total, 19 farms were visited once during the evening milking. Milking parameters (vacuum level (VL), pulsation ratio and pulsation rate, vacuum drop), milk emission flow variables (milking time, milk yield, maximum milk flow (MMF), average milk flow (AVMF), time until 500 g/min milk flow is established (TS500)), doe characteristics of 8 to 10 goats/farm (breed, days in milk and parity), milking practices (overmilking, overstripping, pre-lag time) and milking machine characteristics (line height, presence of claw) were recorded on every farm. The relationships between recorded variables and farm were analysed by a one-way ANOVA analysis. The relationships of milk yield, MMF, milking time and TS500 with goat physiology, milking routine, milking parameters and milking machine design were analysed using a linear mixed model, considering the farm as the random effect. Farm was significant (P
ISSN:1751-7311
1751-732X
DOI:10.1017/S1751731117000623