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巴西伯南布哥州通过地统计模型进行养羊业生物气候分区

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

作者信息

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, Silva Thieres George Freire da

机构信息

Department of Agricultural Engineering, Federal Rural University of Pernambuco, Recife 52171-900, Brazil.

Department of Veterinary Medicine, Federal Rural University of Pernambuco, Recife 52171-900, Brazil.

出版信息

Animals (Basel). 2023 Mar 22;13(6):1124. doi: 10.3390/ani13061124.

DOI:10.3390/ani13061124
PMID:36978664
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10044458/
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.

摘要

政府间气候变化专门委员会(IPCC)指出,发展中国家极易受到气候变化的影响,预计这将对粮食和收入安全产生影响。养羊业是伯南布哥州半干旱地区最脆弱区域家庭的主要畜牧生产之一,该巴西地区以高温、低相对湿度和高太阳净辐射而闻名。因此,本研究的目的是基于温度湿度指数(THI)的非参数统计和克里金地图,确定伯南布哥州可能更适合不同品种绵羊养殖的不同区域。THI值是根据从TerraClimate遥感数据库提取的年平均温度和风速确定的。伯南布哥州的THI值在66至79之间,几乎在所有地区,包括主要的肉类生产品种,毛用品种都具有很高的开发潜力。高产奶量的东弗里生品种非常适合阿格雷斯特中地区,该地区与帕热乌和莫绍托微地区一样,也被证明有利于引进三种作为主要肉类生产品种的毛用品种(萨福克、波德代和特克塞尔)。THI值的克里金地图成功地确定了伯南布哥州具有很高绵羊养殖潜力的战略发展区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdad/10044458/e861dffb7d33/animals-13-01124-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdad/10044458/ffef92394246/animals-13-01124-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdad/10044458/2f1f70104b7e/animals-13-01124-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdad/10044458/a3f847ca6470/animals-13-01124-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdad/10044458/2d8eff0579d0/animals-13-01124-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdad/10044458/e861dffb7d33/animals-13-01124-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdad/10044458/ffef92394246/animals-13-01124-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdad/10044458/2f1f70104b7e/animals-13-01124-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdad/10044458/a3f847ca6470/animals-13-01124-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdad/10044458/2d8eff0579d0/animals-13-01124-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdad/10044458/e861dffb7d33/animals-13-01124-g005.jpg

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