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Effect of automatic cluster remover settings on milkability, milk quality and milking irregularities of crossbred cows

Published online by Cambridge University Press:  06 June 2019

Ahmad Fahim*
Affiliation:
Livestock Production Management, SVPUAT, Meerut, India
Madan Lal Kamboj
Affiliation:
ICAR-National Dairy Research Institute, Karnal, India
Ajayvir Singh Sirohi
Affiliation:
ICAR- Central Institute for Research on Cattle, Meerut, India
Mukesh Bhakat
Affiliation:
ICAR-National Dairy Research Institute, Karnal, India
Tushar Kumar Mohanty
Affiliation:
ICAR-National Dairy Research Institute, Karnal, India
*
Author for correspondence: Ahmad Fahim, Email: ahmadfahim300@gmail.com

Abstract

Automatic cluster remover (ACR) settings regulate the end of milking by detaching the clusters based on milk flow dropping below a preset level, which needs to be standardised for different breeds of dairy animals based on their production. A study was conducted to find out the best ACR setting for milking Indian crossbred cows based on milkability, milking irregularities and milk quality. Fifty six crossbred dairy cows in lactations 1 to 4 were categorised into three groups based on the level of production; low (N = 16; <12 kg/d), medium (N = 32; 12–18 kg/d) and high (N = 08; >18 kg/d). The ACR settings tested were 0.1, 0.2, 0.3 and 0.4 kg/min, keeping the vacuum level and pulsation settings constant. The ACR settings significantly (P < 0.01) affected the milk yield at all levels of production with a significant effect (P < 0.01) on machine-on time at 0.4 kg/min. The yield during the first 2 min of milking, average flow and peak flow rates were not affected at any level of production. The average electrical conductivity in milk was significantly (P < 0.01) lower for the low and medium yield cows without affecting the mean somatic cell count. At 0.4 kg/min, more cluster reattachments were needed because of significant amount of milk remaining in the udders post-cluster removal.

Type
Research Article
Copyright
Copyright © Hannah Dairy Research Foundation 2019 

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