An effective temperature derived from a mechanistic thermophysiological model for sows reared in hot climates

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Standard

An effective temperature derived from a mechanistic thermophysiological model for sows reared in hot climates. / Huang, Tao; Zhang, Guoqiang; Brandt, Pia; Bjerg, Bjarne; Pedersen, Poul; Rong, Li.

I: Biosystems Engineering, Bind 220, 2022, s. 19-38.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Huang, T, Zhang, G, Brandt, P, Bjerg, B, Pedersen, P & Rong, L 2022, 'An effective temperature derived from a mechanistic thermophysiological model for sows reared in hot climates', Biosystems Engineering, bind 220, s. 19-38. https://doi.org/10.1016/j.biosystemseng.2022.05.015

APA

Huang, T., Zhang, G., Brandt, P., Bjerg, B., Pedersen, P., & Rong, L. (2022). An effective temperature derived from a mechanistic thermophysiological model for sows reared in hot climates. Biosystems Engineering, 220, 19-38. https://doi.org/10.1016/j.biosystemseng.2022.05.015

Vancouver

Huang T, Zhang G, Brandt P, Bjerg B, Pedersen P, Rong L. An effective temperature derived from a mechanistic thermophysiological model for sows reared in hot climates. Biosystems Engineering. 2022;220:19-38. https://doi.org/10.1016/j.biosystemseng.2022.05.015

Author

Huang, Tao ; Zhang, Guoqiang ; Brandt, Pia ; Bjerg, Bjarne ; Pedersen, Poul ; Rong, Li. / An effective temperature derived from a mechanistic thermophysiological model for sows reared in hot climates. I: Biosystems Engineering. 2022 ; Bind 220. s. 19-38.

Bibtex

@article{3958a29b9b99432ebb164d9891c7dd32,
title = "An effective temperature derived from a mechanistic thermophysiological model for sows reared in hot climates",
abstract = "Increased metabolic heat production caused by breeding for higher productivity puts sows at a high risk of suffering from heat stress. To reasonably predict the actual thermal status of sows becomes essential for efficiently mitigating heat stress. However, the existing thermal indices for pigs neither have been verified by experimental data of sows nor consider the effect of the dynamic heat balance within sow's body. This study proposed an effective temperature for sows (ETS) in hot climates based on an existing 2-node mechanistic thermophysiological model. The ETS was verified to be able to reflect the thermal status of sows with desired level of confidence by using physiological parameters measured sow experiments. The relative humidity and airspeeds impact ETS and effective temperature (ET), which was predicted by other four ET models, at different levels. The impact of ambient temperature on ET could be well reflected by both ETS and the four ET models. In addition, the ETSs predicted under dynamic conditions with/without considering heat storage were comparable in temperate climate. However, the thermal status of sows in hot climate was predicted more precisely by ETS obtained from dynamic conditions considering heat accumulation in the body of the sow. Considering heat storage in dynamic simulations, ETS derived based on metabolic heat production predicted the thermal status of sows better than ETS derived based on total heat loss.",
keywords = "Effective temperature, Heat accumulation, Heat stress, Sow, Thermophysiological model",
author = "Tao Huang and Guoqiang Zhang and Pia Brandt and Bjarne Bjerg and Poul Pedersen and Li Rong",
note = "Publisher Copyright: {\textcopyright} 2022 IAgrE",
year = "2022",
doi = "10.1016/j.biosystemseng.2022.05.015",
language = "English",
volume = "220",
pages = "19--38",
journal = "Biosystems Engineering",
issn = "1537-5110",
publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - An effective temperature derived from a mechanistic thermophysiological model for sows reared in hot climates

AU - Huang, Tao

AU - Zhang, Guoqiang

AU - Brandt, Pia

AU - Bjerg, Bjarne

AU - Pedersen, Poul

AU - Rong, Li

N1 - Publisher Copyright: © 2022 IAgrE

PY - 2022

Y1 - 2022

N2 - Increased metabolic heat production caused by breeding for higher productivity puts sows at a high risk of suffering from heat stress. To reasonably predict the actual thermal status of sows becomes essential for efficiently mitigating heat stress. However, the existing thermal indices for pigs neither have been verified by experimental data of sows nor consider the effect of the dynamic heat balance within sow's body. This study proposed an effective temperature for sows (ETS) in hot climates based on an existing 2-node mechanistic thermophysiological model. The ETS was verified to be able to reflect the thermal status of sows with desired level of confidence by using physiological parameters measured sow experiments. The relative humidity and airspeeds impact ETS and effective temperature (ET), which was predicted by other four ET models, at different levels. The impact of ambient temperature on ET could be well reflected by both ETS and the four ET models. In addition, the ETSs predicted under dynamic conditions with/without considering heat storage were comparable in temperate climate. However, the thermal status of sows in hot climate was predicted more precisely by ETS obtained from dynamic conditions considering heat accumulation in the body of the sow. Considering heat storage in dynamic simulations, ETS derived based on metabolic heat production predicted the thermal status of sows better than ETS derived based on total heat loss.

AB - Increased metabolic heat production caused by breeding for higher productivity puts sows at a high risk of suffering from heat stress. To reasonably predict the actual thermal status of sows becomes essential for efficiently mitigating heat stress. However, the existing thermal indices for pigs neither have been verified by experimental data of sows nor consider the effect of the dynamic heat balance within sow's body. This study proposed an effective temperature for sows (ETS) in hot climates based on an existing 2-node mechanistic thermophysiological model. The ETS was verified to be able to reflect the thermal status of sows with desired level of confidence by using physiological parameters measured sow experiments. The relative humidity and airspeeds impact ETS and effective temperature (ET), which was predicted by other four ET models, at different levels. The impact of ambient temperature on ET could be well reflected by both ETS and the four ET models. In addition, the ETSs predicted under dynamic conditions with/without considering heat storage were comparable in temperate climate. However, the thermal status of sows in hot climate was predicted more precisely by ETS obtained from dynamic conditions considering heat accumulation in the body of the sow. Considering heat storage in dynamic simulations, ETS derived based on metabolic heat production predicted the thermal status of sows better than ETS derived based on total heat loss.

KW - Effective temperature

KW - Heat accumulation

KW - Heat stress

KW - Sow

KW - Thermophysiological model

U2 - 10.1016/j.biosystemseng.2022.05.015

DO - 10.1016/j.biosystemseng.2022.05.015

M3 - Journal article

AN - SCOPUS:85131433497

VL - 220

SP - 19

EP - 38

JO - Biosystems Engineering

JF - Biosystems Engineering

SN - 1537-5110

ER -

ID: 310404358