DSD 5.7 |Machine learning to find SARA prevalence in your herd

Dairy Science Digest

Subacute Ruminal acidosis, commonly referred to as SARA, could be robbing your herd of production. When pH dips too low for too long the biology of the rumen shifts, butterfat slides and overall health of the herd is negatively impacted.

But how can you tell if your herd has SARA?

This month we invite Dr. Eric Paquet and Felix Huot, from Université Laval in Quebec Canada to explain the method of using DHI milk samples to map the prevalence of SARA in the dairy herd of Quebec.

Listen in to learn more -

Topics of discussion

1:48 Introduction of Dr. Eric Paquet and Felix Huot
2:55 What is SARA – how is it defined what are the symptoms?
4:42 Pair Feeding – Intake experimental design
5:10 Rumen Bolus for research monitoring for calibration
6:57 Rumen pH for definition of SARA
7:40 7 commercial herds for phase 1 calibration
10:35 Ruminal Biochemistry changed by SARA
13:08 Ruminal variability among cows within the same herd
14:54 Phase 2: applied statistical model to a dataset of 3000 farms in Quebec to predict prevalence
17:24 Mean, range (min-max) prevalence of SARA
18:35 Factors associated with an increase prevalence of SARA
19:27 Robotic herds
20:50 Seasonal effect
21:40 Higher milk yield
22:05 Take home message for boots on the ground dairy producers

Featured Article:

Featured Article:
Predicting subacute ruminal acidosis from milk mid-infrared estimated fatty acids and machine learning on Canadian commercial dairy herds

Background Information:
Relationship between farm management strategies, reticuloruminal pH variations, and risks of subacute ruminal acidosis

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