Modelling temperature effects on milk production: a study on Holstein cows at a Japanese farm.pdf (554.23 kB)
Modelling temperature effects on milk production: a study on Holstein cows at a Japanese farm
journal contribution
posted on 2016-04-21, 09:17 authored by Machiko Yano, Hideyasu ShimadzuHideyasu Shimadzu, Toshiki EndoMilk 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.
History
School
- Science
Department
- Mathematical Sciences
Published in
SpringerPlusVolume
3Issue
1Pages
1 - 11Citation
YANO, M., SHIMADZU, H. and ENDO, T., 2014. Modelling temperature effects on milk production: a study on Holstein cows at a Japanese farm. SpringerPlus, 3 (1), 129.Publisher
Springer / © The AuthorsVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 2.0 Unported (CC BY 2.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/2.0/Publication date
2014Notes
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.eISSN
2193-1801Publisher version
Language
- en