Nathalia da Silva Costa, Renato Fontes Guimarães, José Bento Sterman Ferraz, Felipe Pimentel, Daniel Pimentel, Tiago do Prado Paim, Luís Telo da Gama, Rafael Núñez-Domínguez, Vanessa Peripolli, Concepta McManus
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引用次数: 0
Abstract
Brazil is among the world's top beef producers and exporters, and the Montana breed of livestock has gained popularity due to its exceptional meat quality and ability to adapt to the tropical climate. This differentiates it from other breeds, such as the Zebu and Taurine. A methodology that mapped sixteen farms across five Brazilian states was adopted to investigate the link between SNP genetic data and animal collection location. The data was georeferenced using the Geographic Information System and the ArcGIS 10.3 software, considering a geographic coordinate system and the WGS 84 datum. The Alleles in Space (AIS) software was used to study the relationship between the SNP genetic data and the animal collection location. Various analyses were conducted, including the Mantel correlation, genetic barrier identification, and spatial autocorrelation. The results suggest that there is a correlation between genetic and geographical distances, supporting the idea that geographical distance can affect genetic diversity. This information is vital to understand the genetic structure of populations concerning geographical space and is crucial for optimizing Brazilian agricultural production.
巴西是世界上最大的牛肉生产国和出口国之一,蒙大拿牲畜品种因其出众的肉质和适应热带气候的能力而广受欢迎。这使它有别于斑马和金牛等其他品种。为了研究 SNP 遗传数据与牲畜采集地点之间的联系,我们采用了一种绘制巴西五个州十六个农场地图的方法。使用地理信息系统和 ArcGIS 10.3 软件对数据进行了地理参照,考虑到了地理坐标系统和 WGS 84 基准。使用 Alleles in Space (AIS) 软件研究 SNP 遗传数据与动物采集地点之间的关系。进行了各种分析,包括曼特尔相关性、遗传障碍识别和空间自相关性。结果表明,遗传距离和地理距离之间存在相关性,支持了地理距离会影响遗传多样性的观点。这些信息对于了解种群在地理空间上的遗传结构至关重要,对于优化巴西农业生产也至关重要。
期刊介绍:
Tropical Animal Health and Production is an international journal publishing the results of original research in any field of animal health, welfare, and production with the aim of improving health and productivity of livestock, and better utilisation of animal resources, including wildlife in tropical, subtropical and similar agro-ecological environments.