Quantitative assessment of the effects of outside temperature on farrowing rate in gilts and sows by using a multivariate logistic regression model

It is well known that pigs are sensitive to heat stress, but few studies have assessed the critical temperature that affects farrowing rate. Therefore, the objective of the present study was to assess the effects of outside temperature on farrowing rate by using a multivariate logistic regression mo...

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Bibliographic Details
Published in:Animal science journal 2018-08, Vol.89 (8), p.1187-1193
Main Authors: Sasaki, Yosuke, Fujie, Madoka, Nakatake, Shingo, Kawabata, Tadahiro
Format: Article
Language:English
Subjects:
Animals
Climate
Commercial farms
Critical temperature
Farms
farrowing rate
Female
Heat
Heat stress
Hot Temperature - adverse effects
Humidity
Logistic Models
logistic regression model
Multivariate analysis
Parity
Pregnancy
Regression models
Reproduction
sows
Stress, Physiological - physiology
Swine - physiology
Temperature
Temperature effects
Transition temperature
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Summary:It is well known that pigs are sensitive to heat stress, but few studies have assessed the critical temperature that affects farrowing rate. Therefore, the objective of the present study was to assess the effects of outside temperature on farrowing rate by using a multivariate logistic regression model. Data were obtained from 25 commercial farms, including 26,128 service records for gilts and 120,655 service records for sows. Two variables, maximum temperature (MAX) and temperature humidity index (THI), were used as an indicator for climate conditions. In gilts, an interaction between climate conditions and service number was associated with farrowing rate (p 
ISSN:1344-3941
1740-0929
DOI:10.1111/asj.13048