Alberta Biodiversity Monitoring Institute , Moose (Alces alces), 2019. ABMI Website: 〈abmi.ca/home/data-analytics/biobrowser-home/species-profile?tsn=180703〉, Accessed August 25, 2020.
Alberta Environment and Parks, Hunter Harest Report: moose. Estimated resident harvest for moose, 2012–2019. 〈https://mywildalberta.ca/hunting/hunters-harvest.aspx〉. Accessed August 25, 2020.
Balding D.J. Nichols R.A.DNA profile match probability calculation: how to allow for population stratification, relatedness, database selection and single bands.
Forensic Sci. Int. 1994; 64: 125-140Bishop M.D. Kappes S.M. Keele J.W. Stone R.T. Sunden S.L. Hawkins G.A. Toldo S.S. Fries R. Grosz M.D. Yoo J.A genetic linkage map for cattle.
Genetics. 1994; 136: 619-639Bregu J. Conklin D. Coronado E. Terrill M. Cotton R. Grgicak C.M.Analytical thresholds and sensitivity: establishing RFU thresholds for forensic DNA analysis.
J. Forensic Sci. 2013; 58: 120-129Buchanan F.C. Crawford A.M.Ovine microsatellites at the OarFCB11, OarFCB128, OarFCB193, OarFCB266 and OarFCB304 loci.
Anim. Genet. 1993; 24: 145Sample size requirements for addressing the population genetic issues of forensic use of DNA typing.
Hum. Biol. 1992; 64: 141-159Evanno G. Regnaut S. Goudet J.Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.
Mol. Ecol. 2005; 14: 2611-2620Falush D. Stephens M. Pritchard J.K.Inference of population structure using multilocus genotype data: Linked loci and correlated allele frequencies.
Genetics. 2003; 164: 1567-1587Moose.
in: Schmidt J.L. Gilbert D.L. Big Game of North America. 1st edition.,. Stackpole Books, Harrisburg1978: 67-81Fstat version 1.2: a computer program to calculate Fstatistics.
J. Hered. 1995; 86: 485-486Freiser H. Nancollas G.H. Compendium of Analytical Nomenclature (definitive rules 1987). second ed. Blackwell Science, 1987Jobin R.M. Patterson D. Zhang Y.DNA typing in populations of mule deer for forensic use in the Province of Alberta.
Forensic Sci. Int.: Genet. 2008; 2: 190-197Hoffman J.D. Genoways H.H. Choate J.R.Long-distance dispersal and population trends of moose in the central United States.
Alces. 2006; 42: 115-131Hundertmark K.J. Bowyer R.T. Shields G.F. Schwartz C.C.Mitochondrial Phylogeography of Moose (Alces alces) in North America.
J. Mammal. 2003; 84: 718-728Kopelman N.M. Mayzel J. Jakobsson M. Rosenberg N. Mayrose I.CLUMPAK: a program for identifying clustering modes and packaging population structure inferences across K.
Mol. Ecol. Resour. 2015; 15: 1179-1191StructureSelector: a web-based software to select and visualize the optimal number of clusters using multiple methods.
Mol. Ecol. Resour. 2018; 18: 176-177The trouble with isolation by distance.
Mol. Ecol. 2012; 21: 2839-2846Humans are animals, too: critical commonalities and differences between human and wildlife forensic genetics.
J. Forensic Sci. 2019; 64: 1603-1621Oosterhout C.V. Hutchinson W.F. Wills D.P.M. Shipley P.MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data.
Mol. Ecol. Notes. 2004; 4: 535-538Paetkau D. Slade R. Burden M. Estoup A.Genetic assignment methods for the direct, real-time estimation of migration rate using assignment methods: a simulation-based exploration of accuracy and power.
Mol. Ecol. 2004; 13: 55-65Park SDE , Trypanotolerance in West African cattle and the population genetic effects of selection. Ph.D. thesis. [online]. University of Dublin, Dublin, Ireland, 2001. Available from: 〈http://animalgenomics.ucd.ie/sdepark/ms-toolkit/〉.
GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research-an update.
Bioinformatics. 2012; 28: 2537-2539Review of the living representatives of the genus Alces.
Contributions of the Royal Ontario Museum of Zoology and Palaeontology. University of Toronto Press, Toronto, ON, Canada1952Moose of North America.
University of Toronto Press, Toronto, ON, Canada1955Pritchard J.K. Stephens M. Donnelly P.Inference of population structure using multilocus genotype data.
Genetics. 2000; 155: 945-959The program structure does not reliably recover the correct population structure when sampling is uneven: subsampling and new estimators alleviate the problem.
Mol. Ecol. Resour. 2016; 16: 608-627GENEPOP’007: a complete re-implementation of the GENEPOP software for Windows and Linux.
Mol. Ecol. Resour. 2008; 8: 103-106Schmidt J. Hundertmark K. Bowyer T. McCracken K.Population structure and genetic diversity of moose in Alaska.
J. Hered. 2009; 100: 170-180Schwatz M.K. McKelvey K.S.Why sampling scheme matters: the effect of sampling scheme on landscape genetic results.
Conserv. Genet. 2009; 10: 441-452Stelfox J.B. Stelfox J.G.Population dynamics and reproduction.
in: Stelfox J.B. Hoofed Mammals of Alberta. Lone Pine Publishing, Edmonton and Vancouver1993: 63-68Timmermann H.R. Rodgers A.R.The status and management of moose in North America – Circa 1995.
Alces. 2017; 53: 1-22Wilson G.A. Strobeck C. Wu L. Coffin J.W.Characterization of microsatellite loci in caribou Rangifer tarandus, and their use in other artiodactyls.
Mol. Ecol. 1997; 6: 697-699Wilson P.J. Grewal S. Rodgers A. Rempel R. Saquet J. Hristienko H. Burrows F. Peterson R. White B.N.Genetic variation and population structure of moose (Alces alces) at neutral and functional DNA loci.
Can. J. Zool. 2003; 81: 670-683Yamauchi K. Hamasaki S.-I. Miyazaki K. Kikusui T. Takeuchi Y. Mori Y.Sex determination based on fecal DNA analysis of the amelogenin gene in sika deer (Cervus nippon).
J. Vet. Med. Sci. 2000; 62: 669-671
Comments (0)