Effect of the Spatial Distribution of the Temperature and Humidity Index in a New Zealand White Rabbit House on Respiratory Frequency and Ear Surface Temperature.

geostatistics physiological responses rabbit farming thermal environment thermal stress

Journal

Animals : an open access journal from MDPI
ISSN: 2076-2615
Titre abrégé: Animals (Basel)
Pays: Switzerland
ID NLM: 101635614

Informations de publication

Date de publication:
02 Jun 2021
Historique:
received: 14 04 2021
revised: 20 05 2021
accepted: 31 05 2021
entrez: 2 7 2021
pubmed: 3 7 2021
medline: 3 7 2021
Statut: epublish

Résumé

The objective of this study was to characterize and evaluate the temperature and humidity index (THI) of New Zealand white (NZW) rabbits kept in a rabbit house using geostatistical techniques. Furthermore, we sought to evaluate its relationship with respiratory frequency (RF) and ear surface temperature (EST). The experiment was conducted at the Federal University of Lavras, Brazil. A total of 52 NZW rabbits were used. For the characterization of the thermal environment, the dry bulb temperature (t

Identifiants

pubmed: 34199567
pii: ani11061657
doi: 10.3390/ani11061657
pmc: PMC8226593
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Maria Alice Junqueira Gouvêa Silva (MAJG)

Department of Animal Science, Federal University of Lavras (UFLA), Lavras 37200-900, Minas Gerais, Brazil.

Patrícia Ferreira Ponciano Ferraz (PFP)

Department of Agricultural Engineering, Federal University of Lavras (UFLA), Lavras 37200-900, Minas Gerais, Brazil.

Luana Mendes Dos Santos (LMD)

Department of Agricultural Engineering, Federal University of Lavras (UFLA), Lavras 37200-900, Minas Gerais, Brazil.

Gabriel Araújo E Silva Ferraz (GAES)

Department of Agricultural Engineering, Federal University of Lavras (UFLA), Lavras 37200-900, Minas Gerais, Brazil.

Giuseppe Rossi (G)

Department of Agriculture, Food, Environment and Forestry, University of Firenze, 50145 Firenze, Italy.

Matteo Barbari (M)

Department of Agriculture, Food, Environment and Forestry, University of Firenze, 50145 Firenze, Italy.

Classifications MeSH