Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Oct 28;56(8):360.
doi: 10.1007/s11250-024-04186-6.

Genetic spatialization in Montana cattle breed

Affiliations

Genetic spatialization in Montana cattle breed

Nathalia da Silva Costa et al. Trop Anim Health Prod. .

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.

Keywords: Composed breed; Genetic landscape shape; Georeference; Mantel; Spatial correlation.

PubMed Disclaimer

References

    1. ABIEC (2023) Brazilian Association of Meat Exporting Industries. Beef report 2023 | perfil da pecuária no Brasil. https://www.abiec.com.br/publicacoes/beef-report-2023/ . Accessed 10 Nov 2021
    1. Almeida RA, Pinto DBF, Primo DF, Sena FL, Santos DM (2018) Análise espacial e temporal das chuvas médias mensais e anuais na bacia hidrográfica do Rio Mucuri. Revista Engenharia na Agricultura 26:370–382. https://doi.org/10.13083/reveng.v26i4.941 - DOI
    1. Antunes LA, Stege AL (2023) Análise espacial da convergência absoluta da produtividade agrícola parcial da terra para as regiões brasileiras (1990–2020). Estudo Debate 30:62–86 - DOI
    1. Baiardi A, Ribeiro MCM (2021) Performance econômica em diferentes biomas: o caso de municípios típicos da mata atlântica, do cerrado e da caatinga, Anais do 59º Congresso da Sociedade Brasileira de Economia, Administração e Sociologia Rural, Brasília, 2021. https://doi.org/10.29327/soberebpc2021.340572
    1. Britto FP, Barletta R, Mendonça M (2006) Regionalização sazonal e mensal da precipitação pluvial máxima no estado do Rio Grande do sul. Revista Brasileira De Climatologia 2:83–99

LinkOut - more resources