Literature DB >> 26817655

A comparison of THI indices leads to a sensible heat-based heat stress index for shaded cattle that aligns temperature and humidity stress.

A Berman1, Talia Horovitz2, M Kaim3, H Gacitua3.   

Abstract

The combined temperature-humidity heat stress is estimated in farm animals by indices derived of an index based on human thermal comfort sensation. The latter index consists of temperature and humidity measures that sum to form the temperature-humidity index (THI). The hitherto unknown relative contribution of temperature and humidity to the THI was examined. A temperature-humidity data set (temperature 20-42 °C and relative humidity 10-70 %) was used to assess by regression procedures the relative weights of temperature and humidity in the variance of THI values produced by six commonly used heat stress indices. The temperature (Ta) effect was predominant (0.82-0.95 of variance) and humidity accounted for only 0.05 to 0.12 of THI variance, half of the variance encountered in animal responses to variable humidity heat stress. Significant difference in THI values was found between indices in the relative weights of temperature and humidity. As in THI indices, temperature and humidity are expressed in different physical units, their sum has no physical attributes, and empirical evaluations assess THI relation to animal responses. A sensible heat THI was created, in which at higher temperatures humidity reaches 0.25 of sensible heat, similarly to evaporative heat loss span in heat stressed animals. It relates to ambient temperature-humidity similarly to present THI; its values are similar to other THI but greater at higher humidity. In warm conditions, mean animal responses are similar in both indices. The higher sensitivity to humidity makes this index preferable for warm-humid conditions.

Entities:  

Keywords:  Dairy cattle; Heat stress index; Sensible heat; Shaded cattle

Mesh:

Year:  2016        PMID: 26817655     DOI: 10.1007/s00484-016-1136-9

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  14 in total

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Authors:  O Ravagnolo; I Misztal
Journal:  J Dairy Sci       Date:  2002-11       Impact factor: 4.034

2.  Relative importance of dry- and wet-bulb temperatures in causing heat stress in cattle.

Authors:  W BIANCA
Journal:  Nature       Date:  1962-07-21       Impact factor: 49.962

3.  Sensible and latent heat loss from the body surface of Holstein cows in a tropical environment.

Authors:  A S C Maia; R G daSilva; C M Battiston Loureiro
Journal:  Int J Biometeorol       Date:  2005-04-29       Impact factor: 3.787

4.  Modelling radiation fluxes in simple and complex environments--application of the RayMan model.

Authors:  Andreas Matzarakis; Frank Rutz; Helmut Mayer
Journal:  Int J Biometeorol       Date:  2006-11-09       Impact factor: 3.787

5.  Temperature-humidity indices as indicators of milk production losses due to heat stress.

Authors:  J Bohmanova; I Misztal; J B Cole
Journal:  J Dairy Sci       Date:  2007-04       Impact factor: 4.034

6.  Is the temperature-humidity index the best indicator of heat stress in lactating dairy cows in a subtropical environment?

Authors:  S Dikmen; P J Hansen
Journal:  J Dairy Sci       Date:  2009-01       Impact factor: 4.034

7.  Respiratory heat loss of Holstein cows in a tropical environment.

Authors:  Alex Sandro Campos Maia; Roberto Gomes Dasilva; Cintia Maria Battiston Loureiro
Journal:  Int J Biometeorol       Date:  2004-12-14       Impact factor: 3.787

8.  Relationship of temperature and humidity to conception rate of Holstein cows in subtropical climate.

Authors:  R H Ingraham; D D Gillette; W D Wagner
Journal:  J Dairy Sci       Date:  1974-04       Impact factor: 4.034

9.  Estimates of heat stress relief needs for Holstein dairy cows.

Authors:  A Berman
Journal:  J Anim Sci       Date:  2005-06       Impact factor: 3.159

10.  Effect of the temperature-humidity index on body temperature and conception rate of lactating dairy cows in southwestern Japan.

Authors:  Hisashi Nabenishi; Hiroshi Ohta; Toshihumi Nishimoto; Tetsuo Morita; Koji Ashizawa; Yasuhiro Tsuzuki
Journal:  J Reprod Dev       Date:  2011-04-09       Impact factor: 2.214

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  5 in total

1.  Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters.

Authors:  Sigfredo Fuentes; Claudia Gonzalez Viejo; Brendan Cullen; Eden Tongson; Surinder S Chauhan; Frank R Dunshea
Journal:  Sensors (Basel)       Date:  2020-05-24       Impact factor: 3.576

Review 2.  An Appropriate Genetic Approach for Improving Reproductive Traits in Crossbred Thai-Holstein Cattle under Heat Stress Conditions.

Authors:  Akhmad Fathoni; Wuttigrai Boonkum; Vibuntita Chankitisakul; Monchai Duangjinda
Journal:  Vet Sci       Date:  2022-03-28

3.  Estimating milk production losses by heat stress and its impacts on greenhouse gas emissions in Korean dairy farms.

Authors:  Geun-Woo Park; Mohammad Ataallahi; Seon Yong Ham; Se Jong Oh; Ki-Youn Kim; Kyu Hyun Park
Journal:  J Anim Sci Technol       Date:  2022-07-31

4.  Variations in the Temperature-Humidity Index and Dorsal Fat Thickness during the Last Trimester of Gestation and Early Postpartum Period Affect Fertility of Bos indicus Cows in the Tropics.

Authors:  Ramiro F Díaz; Carlos S Galina; Sandra Estrada; Felipe Montiel; Gloriana Castillo; Juan José Romero-Zúñiga
Journal:  Vet Med Int       Date:  2018-07-24

5.  Non-Invasive Sheep Biometrics Obtained by Computer Vision Algorithms and Machine Learning Modeling Using Integrated Visible/Infrared Thermal Cameras.

Authors:  Sigfredo Fuentes; Claudia Gonzalez Viejo; Surinder S Chauhan; Aleena Joy; Eden Tongson; Frank R Dunshea
Journal:  Sensors (Basel)       Date:  2020-11-06       Impact factor: 3.576

  5 in total

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