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Modelling temperature effects on milk production : a study on Holstein cows at a Japanese farm

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2193_1801_3_129.pdf (991.2Kb)
Date
07/03/2014
Author
Yano, Machiko
Shimadzu, Hideyasu
Endo, Toshiki
Keywords
Milk production
Milk fat
Heat stress
Lactation curves
Modelling
Test-day data
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Abstract
Milk yield and its composition vary according to individual cows as well as to a variety of different environment conditions, such as temperature. Previous studies suggest that heat exerts considerable negative effects on milk production and its composition, especially during summer months. We investigate the production and fat composition of milk from individual dairy cows and develop a modelling framework that investigates the effect of temperature by extending a traditional lactation curve model onto a more flexible statistical modelling framework, a generalised additive model (GAM). The GAM simultaneously copes with multiple different conditions (temperature, parity, days of lactation, etc.), and, importantly, their non-linear relationships. Our analysis of retrospective data suggests that individual cows respond differently to heat; cows producing relatively high quantities of milk tend to be particularly sensitive to heat. Our model also suggests that most dairy cows studied fall into three distinct cases that underpin the variation of the milk fat ratio by different mechanisms.
Citation
Yano , M , Shimadzu , H & Endo , T 2014 , ' Modelling temperature effects on milk production : a study on Holstein cows at a Japanese farm ' , SpringerPlus , vol. 3 , 129 . https://doi.org/10.1186/2193-1801-3-129
Publication
SpringerPlus
Status
Peer reviewed
DOI
https://doi.org/10.1186/2193-1801-3-129
ISSN
2193-1801
Type
Journal article
Rights
© 2014 Yano et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/4552

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