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Genetic spatialization in Montana cattle breed.

Nathalia da Silva Costa1, Renato Fontes Guimarães1, José Bento Sterman Ferraz2

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Geographic distance impacts Montana cattle genetic diversity in Brazil. This study links SNP genetic data with farm locations, crucial for optimizing beef production.

Keywords:
Composed breedGenetic landscape shapeGeoreferenceMantelSpatial correlation

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Area of Science:

  • Agricultural Science
  • Genetics
  • Animal Breeding

Background:

  • Brazil is a leading global beef producer and exporter.
  • The Montana cattle breed is favored for its meat quality and tropical adaptability, distinguishing it from Zebu and Taurine breeds.

Purpose of the Study:

  • To investigate the relationship between Single Nucleotide Polymorphism (SNP) genetic data and the geographical location of Montana cattle farms in Brazil.
  • To understand how geographical distance influences genetic diversity within this breed.

Main Methods:

  • Mapping sixteen farms across five Brazilian states using Geographic Information System (GIS) and ArcGIS 10.3.
  • Georeferencing farm data with a WGS 84 datum and geographic coordinate system.
  • Analyzing SNP genetic data against animal collection locations using Alleles in Space (AIS) software, employing Mantel correlation, genetic barrier identification, and spatial autocorrelation.

Main Results:

  • A significant correlation was found between genetic and geographical distances among Montana cattle populations.
  • Geographical distance was identified as a factor influencing genetic diversity within the studied herds.
  • Spatial autocorrelation analysis revealed patterns in genetic variation across the landscape.

Conclusions:

  • Geographical factors play a role in shaping the genetic structure of Montana cattle populations in Brazil.
  • Understanding these spatial genetic patterns is essential for effective conservation and breeding strategies.
  • The findings provide critical insights for optimizing Brazilian beef agricultural production through informed genetic management.