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The present study used a fitted lactation model to analyze specific aspects of lactation curve shape and magnitude in cows that avoided culling or death in the first 120 d in milk (DIM).
Milk production data were fitted with the nonlinear MilkBot lactation model, and health records were used to classify cows as healthy (H), affected by one MD (MD), or by multiple MD (MD+).
The ICRP95 figure with their lactation model is 780 mSv, a 21x increase.
The milk production records were also subjected to the MilkBot® lactation model (DairySight LLC, Argyle, New York) to create a lactation curve [ 22].
Therefore, the aim of this study was to investigate whether using fewer, but more strategic TD sampling approaches, and the Wood lactation model would improve the accuracy of lactation yield estimates and EBV for milk production.
The test day model uses each test day record available in national databases, in contrast to the 305-day lactation model which relies on the performance of an animal cumulated over 305 days.
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To obtain complete lactation curves, we evaluated the lactation models of Ali-Schaeffer and Wilmink.
To compare the 2 lactation models, we evaluated the goodness of fit using 6 evaluation criteria.
Other methods involve the use of mathematical lactation models to predict milk yield.
The contribution by Dr Evelyn Hall on the development and discussion on the lactation models is grateful acknowledged.
One of the first lactation models used in dairy cattle was developed by Brody et al. [ 16] and is based on an exponential decay function.
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