02793naa a2200433 a 450000100080000000500110000800800410001902400590006010000160011924500840013526000090021952015790022865000110180765000250181865000270184365000130187065000100188365000170189365000350191065300270194565300280197265300110200070000170201170000190202870000170204770000220206470000270208670000170211370000230213070000210215370000230217470000130219770000180221070000190222870000210224770000230226870000160229177300520230721344312021-09-15       2020    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1016/j.smallrumres.2020.1062392DOI1 aMcMANUS, C.  aLandscape genetics of sheep in Brazil using SNP markers.h[electronic resource]  c2020  aAbstract: The aim of this study was to explore spatial patterns of genetic structure in sheep breeds sampled in Brazil using Single Nucleotide Polymorphisms (SNPs) in order to evaluate whether or not the genetic and geographic dis-tances are interrelated in this species. Samples genotyped using the 50KSheepSNPChip (Illumina) included 215 animals from eight different sheep breeds. All collection sites were georeferenced and data analyzed to determine geographic patterns from genetic data. To evaluate the correlation between genetic and geographic distances Mantel tests, Allelic Aggregation Index Analyses (AAIA), and spatial autocorrelation were performed. Genetic Landscape Shape procedure and Monmonier?s Algorithm were used to generate graphical visualization of the genetic distances across the landscape. The observed correlation observed between genetic and geographical distances was 0.552 (P &lt0.00099). Observed AAIA results (Rave =0.16, P &lt0.001) indicated a non-random distribution of genotypes across the landscape. High genetic differentiation was observed in the Southern re-gions of Brazil, separating wool and hair sheep. Low genetic distances were observed between flocks and breeds from north and center-west regions, and may be the result of unrecorded introgressions resulting from past unknown crossbreeding events. Observed Spatial Autocorrelation Analyses results indicate a minimum distance of 400 km should be used between collection sites to maximize genetic variability in future germplasm samplings for conservation of genetic resources.  aBrazil  aGenetic polymorphism  aGermplasm conservation  aSampling  aSheep  aSheep breeds  aSingle nucleotide polymorphism  aDelaunay triangulation  aGenetic landscape shape  aMantel1 aPAIVA, S. R.1 aCAETANO, A. R.1 aHERMUCHE, P.1 aGUIMARÃES, R. F.1 aCARVALHO JUNIOR, O. A.1 aBRAGA, R. M.1 aCARNEIRO, P. L. S.1 aMORAES, J. C. F.1 aSOUZA, C. J. H. de1 aFACO, O.1 aSANTOS, S. A.1 aAZEVEDO, H. C.1 aARAUJO, A. M. de1 aFAÇANHA, D. A. E.1 aIANELLA, P.  tSmall Ruminant Researchgv. 192, e106239, 2020.