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Black globe temperature from meteorological data and a bioclimatic analysis of the Brazilian Northeast for Saanen goats.

Authors
  • da Silva, Thieres George Freire1
  • Santos, Girlene Cordeiro Lima2
  • Duarte, Ana Maria Cabral3
  • Turco, Sílvia Helena Nogueira4
  • Cruz Neto, José Francisco da5
  • Jardim, Alexandre Maniçoba da Rosa Ferra...6
  • Dos Santos, Thalyta Soares7
  • 1 Academic Unit of Serra Talhada, Federal Rural University of Pernambuco, Serra Talhada, Pernambuco, Brazil; Department of Agricultural Engineering, Federal Rural University of Pernambuco, Recife, Pernambuco, Brazil. Electronic address: [email protected] , (Brazil)
  • 2 Academic Unit of Serra Talhada, Federal Rural University of Pernambuco, Serra Talhada, Pernambuco, Brazil. Electronic address: [email protected] , (Brazil)
  • 3 Academic Unit of Serra Talhada, Federal Rural University of Pernambuco, Serra Talhada, Pernambuco, Brazil. Electronic address: [email protected] , (Brazil)
  • 4 Department of Agricultural Engineering, Federal University of the São Francisco Valley, Juazeiro, Bahia, Brazil. Electronic address: [email protected] , (Brazil)
  • 5 Department of Agricultural Engineering, Federal Rural University of Pernambuco, Recife, Pernambuco, Brazil. Electronic address: [email protected] , (Brazil)
  • 6 Department of Agricultural Engineering, Federal University of the São Francisco Valley, Juazeiro, Bahia, Brazil. Electronic address: [email protected] , (Brazil)
  • 7 Department of Agricultural Engineering, Federal University of the São Francisco Valley, Juazeiro, Bahia, Brazil. Electronic address: [email protected] , (Brazil)
Type
Published Article
Journal
Journal of Thermal Biology
Publisher
Elsevier
Publication Date
Oct 01, 2019
Volume
85
Pages
102408–102408
Identifiers
DOI: 10.1016/j.jtherbio.2019.102408
PMID: 31657748
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

The black globe temperature (BGT) is not a common measurement for weather station networks, despite having great relevance to bioclimatic studies. The aim of this study was to propose equations for estimating the BGT, using meteorological data for different time scales and a bioclimatic evaluation of the Brazilian Northeast for breeding Saanen dairy goats. The data used in elaborating the equations were collected between 1 November 2014 and 31 October 2017. Data for BGT, incident global solar radiation (SR), air temperature (AT), relative humidity (RH) and wind speed were handled on a daytime, night-time, daily and monthly scale. One half of the database was used to adjust the equations and the other half in the evaluation. The bioclimatic diagnosis of the Brazilian Northeast was carried out based on mean monthly values of the black globe temperature and humidity index (BGHI) estimated for the four seasons of the year. For the daytime scale, an equation based on AT (BGT = 1.3897.AT-5.4421, r2 = 0.80) and a multiplicative model combining the effects of AT and SR (BGT = [1.3897.AT-5.4421] (0.0384.ln(SR)+0.7935], r2 = 0.91) were obtained. AT adjusted well for BGT on the night-time scale (BGT = 0.995.AT-0.6964, r2 = 0.99), daily scale (BGT = 1.1641.AT-1.5941, r2 = 0.97) and monthly scale (BGT = 1.1550.AT-1.3498, r2 = 0.98). The BGT can therefore be calculated from AT and/or SR for the daytime scale, and from AT only for the night-time, daily and monthly scales. In general, the west and centre-south of the state of Bahia offer the animals the most thermal comfort during each season of the year. In the state of Maranhão, heat stress occurs throughout the year, with the BGTI predominately in the range of 85-95. As such, strategies to combat heat stress should be encouraged to minimise the negative effects of climate on milk production in Saanen goats, and favour the milk-production chain in the northeast of Brazil. Copyright © 2019 Elsevier Ltd. All rights reserved.

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