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Diagnosis of interspecific hybrids between Acacia mangium and A. auriculiformis using single nucleotide polymorphism (SNP) markers

flanking regions of Zea mays sequence tagged simple sequence repeats. Molecular Breeding 11 : 111–120. B autista , R., R. C respillo , F. M. C anovas and M. G. C laros (2002): Identification of olive-tree cultivars with SCAR markers. Euphytica 129 : 33–41. B ekkaoui , F., B. M ann and B. S chroeder (2003): Application of DNA markers for the identification and management of hybrid poplar accessions. Agroforestry Systems 59 : 53–59. B randstatter , A., T. J. P arsons and W. P arson (2003): Rapid screening of mtDNA coding region SNPs for the

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Clonal selection of Eucalyptus grandis x Eucalyptus globulus for productivity, adaptability, and stability, using SNP markers

pattern information combinations for clonal discrimination in Eucalyptus camaldulensis Dehnh. using microsatellite markers. Indian Journal of Biotechnology 13:75–80. Silva-Junior OB, Faria DA, Grattapaglia D (2015) A flexible multi-species genome-wide 60K SNP chip developed from pooled resequencing of 240 Eucalyptus tree genomes across 12 species. New Phytologist 206(4):1527–1540. Available at http://doi:10.1111/nph.13322 Torres-Dini D, Bennadji Z, Cabrera M, et al (2011) Use of SSR-Tools for clone certification in Uruguayan Eucalyptus grandis and

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Application of selected molecular markers in studies on forest trees

characterization of SNPs useful for ID control and parentage testing in major European dairy breeds. Animal Genetics, 35, 44-49. DOI: 10.1046/j.1365-2052.2003.01071.x. Williams C., Williamson R., Coutelle C., Loeffler F., Smith J., Ivinson A. 1988. Same-day, first-trimester antenatal diagnosis for cystic fibrosis by gene amplification. Lancet, 2 (8602), 102-103. Williams J.G.K., Kubelik A.R., Livak K.J., Rafalski J.A., Tingey S.V. 1990. DNA polymorphisms amplified by arbitrary primers are useful as genetic markers. Nucleic Acids Research, 18 (22

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SSR and SNP Markers for the Identification of Clones, Hybrids and Species Within the Genus Populus

hybridization between cultivated poplars and their wild relatives: evidence and consequences for native poplar populations. Ann For Sci 62: 601-613. XING, C., F. R. SCHUMACHER, G. XING, Q. Lu, T. WANG and R. C. ELSTON (2005): Comparison of microsatellites, single- nucleotide polymorphisms (SNPs) and composite markers derived from SNPs in linkage analysis. BMC Genetics 6 (suppl. 1): S29. ZHANG, D. Q. and Z. Y. ZHANG (2005): Single nucleotide polymorphisms (SNPs) discovery and linkage disequilibrium (LD) in forest tress. For Stud China 7: 1

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Low-density genotype panel for both parentage verification and discovery in a multi-breed sheep population

useful to advance genetic gain through traditional quantitative genetic approaches. A balance must, however, be achieved between the cost of procuring a genotype and the accuracy of parentage assignment; both are likely affected by the number of genomic markers and how these markers are selected. Several studies have developed panels of SNPs for parentage verification and discovery in sheep (Clarke et al ., 2014; Heaton et al ., 2014). Clarke et al . (2014) documented the ability of a specifically chosen 84-SNP panel to assign a ram to 99% of the progeny in

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Genomic descriptors of biodiversity – A review

pedigrees is that they neither exist nor are accurate for many of the livestock breeds, which negates or seriously hampers any effort to assess genetic diversity. With the availability of molecular markers such as microsatellites, and more recently single nucleotide polymorphisms (SNP) and whole genome sequence data, it is possible to analyze diversity on a genomic level. The dense marker genotypes negate the necessity to have historical records, and thus, all problems associated with pedigrees. It allows a more precise assessment of relatedness accounting for Mendelian

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Genetic structure of Hucul and Anglo-Arabian horses at the Tert locus

via the EM algorithm. J. Roy. Stat.. Soc. B Met., 39 (1): 1-38. Excoffier L. (2010). Arlequin suite ver 3.5: A new series of programs to perform population genetics analyses under Linux and Windows. Mol. Ecol. Resour., 10: 564-567. Excoffier L., Slatkin M. (1995). Maximum-likelihood estimation of molecular haplotype frequencies inadiploid population. Mol. Biol. Evol., 12: 921-927. Grzybowski G., Prusak B. (2004). Genetic variation in nine European cattle breeds as determined on the basis of microsatellite markers. III

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Application of CAPS markers for diversity assessment in grass pea (Lathyrus sativus L.)

., U jino -I hara T., K ado T., I wata H. & U chida K. 2007. Genetic diversity and the genetic structure of natural populations of Chamaecyparis obtusa : implications for management and conservation. Heredity 99: 161-172. V arshney R.K., C habane K., H endre P. S., A ggarwal R. K. & G raner A. 2007. Comparative assessment of EST-SSR, EST-SNP and AFLP markers for evaluation of genetic diversity and conservation of genetic resources using wild, cultivated and elite barleys. Plant Sci 173: 638-649. V az P atto M. C., S kiba B., P ang E. C. K

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Genetic Differentiation of Common Fox Vulpes Vulpes (Linnaeus, 1758) on the Basis of the Insulin-Like Growth Factor 1 (Igf1), Myosin-Xv (Myo15a) and Paired Box Homeotic 3 (Pax3) Genes Fragments Polymorphism

References AquadroC.F., Bauer Du MontV., Reed F.A. (2001). Genome-wide variation in the human and fruitfly: a comparison. Curr. Opin. Genet. Dev., 11: 627-634. Aubry K.B., StathamM.J., Sacks B.N., PerrineJ.D., Wisely S.M. (2009). Phylogeography of the North American red fox: vicariance in Pleistocene forest refugia. Mol. Ecol., 18: 2668-2686. Brookes A.J. (1999). The essence of SNPs. Gene, 234: 177-186. Bugno - Poniewierska M., Sojecka A., Pawlina K., Jakubczak A., Jezewska - Witkowska G. (2012

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The Use of SNP Microarrays for Biodiversity Studies of Sheep – A Review

Guidelines for Development of National Animal Genetic Resources Management Plans. Measurement of Domestic Animal Diversity (Mo DAD): Recommended Microsatellite Markers. FAO, Rome. FAO (2007). The state of the world’s animal genetic resources for food and agriculture. Rome, Italy, www.fao.org/docrep/010/a1250e/a1250e00.html. Fariello M.I., Servin B., Tosser - Klopp G., Rupp R., Moreno C., International Sheep Genomics Consortium, San Cristobal M., Boitard S. (2014). Selection Signatures in Worldwide Sheep Populations. PLo S ONE 9(8): e103813

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