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Bioclimatic Zoning for Sheep Farming through Geostatistical Modeling in the State of Pernambuco, Brazil

SIMPLE SUMMARY: Heat stress (HS) is a complex phenomenon that triggers multiple animal response mechanisms that negatively impact livestock welfare and production. Thermal comfort is therefore an important subject for limiting performance loss and other adverse effects of heat stress on animal physi...

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Autores principales: Marinho, Gabriel Thales Barboza, Pandorfi, Héliton, da Silva, Marcos Vinícius, Montenegro, Abelardo Antônio de Assunção, de Sousa, Lizandra de Barros, Desenzi, Raquel, da Silva, Jhon Lennon Bezerra, de Oliveira-Júnior, José Francisco, Mesquita, Márcio, de Almeida, Gledson Luiz Pontes, Guiselini, Cristiane, da Rosa Ferraz Jardim, Alexandre Maniçoba, da Silva, Thieres George Freire
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10044458/
https://www.ncbi.nlm.nih.gov/pubmed/36978664
http://dx.doi.org/10.3390/ani13061124
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author Marinho, Gabriel Thales Barboza
Pandorfi, Héliton
da Silva, Marcos Vinícius
Montenegro, Abelardo Antônio de Assunção
de Sousa, Lizandra de Barros
Desenzi, Raquel
da Silva, Jhon Lennon Bezerra
de Oliveira-Júnior, José Francisco
Mesquita, Márcio
de Almeida, Gledson Luiz Pontes
Guiselini, Cristiane
da Rosa Ferraz Jardim, Alexandre Maniçoba
da Silva, Thieres George Freire
author_facet Marinho, Gabriel Thales Barboza
Pandorfi, Héliton
da Silva, Marcos Vinícius
Montenegro, Abelardo Antônio de Assunção
de Sousa, Lizandra de Barros
Desenzi, Raquel
da Silva, Jhon Lennon Bezerra
de Oliveira-Júnior, José Francisco
Mesquita, Márcio
de Almeida, Gledson Luiz Pontes
Guiselini, Cristiane
da Rosa Ferraz Jardim, Alexandre Maniçoba
da Silva, Thieres George Freire
author_sort Marinho, Gabriel Thales Barboza
collection PubMed
description SIMPLE SUMMARY: Heat stress (HS) is a complex phenomenon that triggers multiple animal response mechanisms that negatively impact livestock welfare and production. Thermal comfort is therefore an important subject for limiting performance loss and other adverse effects of heat stress on animal physiology in different production systems; furthermore, it is becoming increasingly important in light of recent climate change scenarios. The purpose of this study was to point out different areas of Pernambuco state that are likely to be best suited to different sheep breeds. The study identified two dairy breeds (East Friesian and Lacaune) that have good potential to be farmed in specific areas of Pernambuco state. The thermal comfort indices presented in Pernambuco were favorable for the main meat-producing breeds. ABSTRACT: The Intergovernmental Panel on Climate Change (IPCC) has pointed out the high vulnerability of developing countries to climate change, which is expected to impact food and income security. Sheep farming is one of the main animal productions among the families located in the most vulnerable regions of the semiarid region of Pernambuco state, a Brazilian territory known for its high temperatures, low relative humidity, and high net solar radiation. Therefore, the objective of this study was to identify different regions of Pernambuco that may be more suitable for different breeds of sheep, based on non-parametric statistics and kriging maps of the temperature and humidity index (THI). THI values were determined based on mean annual temperature and wind speed extracted from the TerraClimate remote sensing database. Pernambuco state presented THI values ranging from 66 to 79, with the hair breeds having a high potential for exploitation in almost all territories, including the main meat-producing breeds. The East Friesian breed, a high milk producer, would be well suited to the Agreste mesoregion, a territory that, like the Pajeú and Moxotó microregions, also proved favorable for the introduction of three wool breeds (Suffolk, Poll Dorset, and Texel) known as major meat producers. The kriging maps of the THI values successfully allowed the identification of strategic development regions of Pernambuco state with high potential for sheep breeding.
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spelling pubmed-100444582023-03-29 Bioclimatic Zoning for Sheep Farming through Geostatistical Modeling in the State of Pernambuco, Brazil Marinho, Gabriel Thales Barboza Pandorfi, Héliton da Silva, Marcos Vinícius Montenegro, Abelardo Antônio de Assunção de Sousa, Lizandra de Barros Desenzi, Raquel da Silva, Jhon Lennon Bezerra de Oliveira-Júnior, José Francisco Mesquita, Márcio de Almeida, Gledson Luiz Pontes Guiselini, Cristiane da Rosa Ferraz Jardim, Alexandre Maniçoba da Silva, Thieres George Freire Animals (Basel) Article SIMPLE SUMMARY: Heat stress (HS) is a complex phenomenon that triggers multiple animal response mechanisms that negatively impact livestock welfare and production. Thermal comfort is therefore an important subject for limiting performance loss and other adverse effects of heat stress on animal physiology in different production systems; furthermore, it is becoming increasingly important in light of recent climate change scenarios. The purpose of this study was to point out different areas of Pernambuco state that are likely to be best suited to different sheep breeds. The study identified two dairy breeds (East Friesian and Lacaune) that have good potential to be farmed in specific areas of Pernambuco state. The thermal comfort indices presented in Pernambuco were favorable for the main meat-producing breeds. ABSTRACT: The Intergovernmental Panel on Climate Change (IPCC) has pointed out the high vulnerability of developing countries to climate change, which is expected to impact food and income security. Sheep farming is one of the main animal productions among the families located in the most vulnerable regions of the semiarid region of Pernambuco state, a Brazilian territory known for its high temperatures, low relative humidity, and high net solar radiation. Therefore, the objective of this study was to identify different regions of Pernambuco that may be more suitable for different breeds of sheep, based on non-parametric statistics and kriging maps of the temperature and humidity index (THI). THI values were determined based on mean annual temperature and wind speed extracted from the TerraClimate remote sensing database. Pernambuco state presented THI values ranging from 66 to 79, with the hair breeds having a high potential for exploitation in almost all territories, including the main meat-producing breeds. The East Friesian breed, a high milk producer, would be well suited to the Agreste mesoregion, a territory that, like the Pajeú and Moxotó microregions, also proved favorable for the introduction of three wool breeds (Suffolk, Poll Dorset, and Texel) known as major meat producers. The kriging maps of the THI values successfully allowed the identification of strategic development regions of Pernambuco state with high potential for sheep breeding. MDPI 2023-03-22 /pmc/articles/PMC10044458/ /pubmed/36978664 http://dx.doi.org/10.3390/ani13061124 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Marinho, Gabriel Thales Barboza
Pandorfi, Héliton
da Silva, Marcos Vinícius
Montenegro, Abelardo Antônio de Assunção
de Sousa, Lizandra de Barros
Desenzi, Raquel
da Silva, Jhon Lennon Bezerra
de Oliveira-Júnior, José Francisco
Mesquita, Márcio
de Almeida, Gledson Luiz Pontes
Guiselini, Cristiane
da Rosa Ferraz Jardim, Alexandre Maniçoba
da Silva, Thieres George Freire
Bioclimatic Zoning for Sheep Farming through Geostatistical Modeling in the State of Pernambuco, Brazil
title Bioclimatic Zoning for Sheep Farming through Geostatistical Modeling in the State of Pernambuco, Brazil
title_full Bioclimatic Zoning for Sheep Farming through Geostatistical Modeling in the State of Pernambuco, Brazil
title_fullStr Bioclimatic Zoning for Sheep Farming through Geostatistical Modeling in the State of Pernambuco, Brazil
title_full_unstemmed Bioclimatic Zoning for Sheep Farming through Geostatistical Modeling in the State of Pernambuco, Brazil
title_short Bioclimatic Zoning for Sheep Farming through Geostatistical Modeling in the State of Pernambuco, Brazil
title_sort bioclimatic zoning for sheep farming through geostatistical modeling in the state of pernambuco, brazil
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10044458/
https://www.ncbi.nlm.nih.gov/pubmed/36978664
http://dx.doi.org/10.3390/ani13061124
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