Zacytuj

Asroush F., Mirhoseini S. Z., Badbarin N., Seidavi A., Tufarelli V., Laudadio V., Dario C., Selvaggi M. (2018). Genetic characterization of Markhoz goat breed using microsatellite markers. Archives animal breeding, 61(4): 469–473. https://doi.org/10.5194/aab-61-469-2018.706538832175455 Search in Google Scholar

Cañon J., Garcia D., Garcia-Atance M.A., Obexer -Ruff G., Lenstra J.A., Ajmone-Marsan P., Dunner S. and Econogene Consortium (2006). Geographical partitioning of goat diversity in Europe and the Middle East. Anim. Genet., 37: 327–334.10.1111/j.1365-2052.2006.01461.x Search in Google Scholar

Ceccobelli S., Lasagna E., Demir E., Rovelli G., Albertini E., Veronesi F., Sarti F. M., Rosellini D. (2020). Molecular Identification of the “Facciuta Della Valnerina” Local Goat Population Reared in the Umbria Region, Italy. Animals: an open access journal from MDPI, 10: 601. https://doi.org/10.3390/ani10040601722281732244771 Search in Google Scholar

Cornale P., Renna M., Lussiana C., Bigi D., Chessa S., Mimosi A. (2014). The Grey Goat of Lanzo Valleys (Fiurinà): breed characteristics, genetic diversity, and quantitative-qualitative milk traits. Small Ruminant Research 116: 1–13. doi:10.1016/j.smallrumres.2013.10.006. Open DOISearch in Google Scholar

Da Silva E. C., McManus C. M., de Paiva Guimarães M. P., Gouveia A. M., Facó O., Pimentel D. M., Caetano A. R., Paiva S. R. (2014). Validation of a microsatellite panel for parentage testing of locally adapted and commercial goats in Brazil. Genetics and molecular biology, 37(1): 54–60. https://doi.org/10.1590/s1415-47572014000100010.395832624688291 Search in Google Scholar

Di R., Vahidi S.M., Ma Y.H., He X.H., Zhao Q.J., Han J.L., Guan W.J., Chu M.X., Sun W., Pu Y.P. (2011). Microsatellite analysis revealed genetic diversity and population structure among Chinese cashmere goats. Anim. Genet., 42(4): 428-31. doi: 10.1111/j.1365-2052.2010.02072.x.20497158 Open DOISearch in Google Scholar

Earl D.A., Von Holdt B.M. (2012). STRUCTURE HARVESTER: A website and program for visualizing STRUCTURE output and implementing the Evanno method. Conserv. Genet. Resour, 4: 359–361. https://doi.org/10.1007/s12686-011-9548-7. Search in Google Scholar

Ernie Muneerah M.A., Md Tamrin N.A., Salisi M.S., Zulkifly S., Ghazali S.S.M., Temuli J.J., Rosali M.H., Nazari S., Wan Nik W.M.K., Mamat-Hamidi K. (2021). MicrosatelliteBased Genetic Characterization of the Indigenous Katjang Goat in Peninsular Malaysia. Animals, 11: 1328. https://doi.org/10.3390/ani11051328.814860134066910 Search in Google Scholar

Evanno G., Regnaut S., Goudet J. (2005). Detecting the number of clusters of individuals using the software STRUCTURE: A simulation study. Mol. Ecol. 14: 2611–2620. https://doi.org/10.1111/j.1365-294X.2005.02553.x.15969739 Search in Google Scholar

FAO (2004). Secondary guidelines for development of national farm animal genetic resources management plans for global management of cattle genetic resources using reference Microsatellites global projects for the maintenance of domestic animal genetic diversity (MoDaD); available at: https://www.fao.org/dad-is/html. Search in Google Scholar

FAO (2019). STATUS AND TRENDS OF ANIMAL GENETIC RESOURCES – 2018. CGRFA/WG-AnGR-10/18/Inf.3.https://www.fao.org/animal-genetics/breed-database/dad-is/. Search in Google Scholar

Garcia-Vallvé S., Palau J., Romeu A. (1999). Horizontal gene transfer in glycosyl hydrolases inferred from codon usage in Escherichia coli and Bacillus subtilis. Mol. Biol. Evol. 16, 1125–1134. https://doi.org/10.1093/OXFORDJOURNALS.MOLBEV.A026203.10486968 Search in Google Scholar

Hoda A.1, Hyka G., Dunner S., Obexer-Ruff G. and Econogene Consortium (2011). Genetic diversity of Albanian goat breeds based on microsatellite markers. Arch. Zootec. 60 (231): 607-615. 2011.10.4321/S0004-05922011000300049 Search in Google Scholar

Hossam Mahmoud A., Abul Farah M., Rady A., Mashai Alanazi K., Mohammed O., Amor N., Mohammed Alarjani K. (2020). Molecular characterization of goats from Saudi Arabia using microsatellite markers. Journal of King Saud University - Science, 32: 1681–1686, doi:10.1016/j.jksus.2020.01.001. Open DOISearch in Google Scholar

International Society for Animal Genetics; https://www.isag.us/Docs/SmallRumGenGenom2019.pdf (date of access: 2022-01-07). Search in Google Scholar

Laoun A., Harkat S., Lafri M., Gaouar S., Belabdi I., Ciani E., De Groot M., Blanquet V., Leroy G., Rognon X., Da Silva A. (2020). Inference of Breed Structure in Farm Animals: Empirical Comparison between SNP and Microsatellite Performance. Genes, 11(1): 57. https://doi.org/10.3390/genes11010057.701656431947936 Search in Google Scholar

Letunic I., Bork P., 2021. Interactive tree of life (iTOL) v5: An online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 49: 293–296. https://doi.org/10.1093/nar/gkab301.826515733885785 Search in Google Scholar

Kalinowski S.T., Taper M.L., Marshall T.C. (2007). Revising how the computer program cervus accommodates genotyping error increases success in paternity assignment. Mol. Ecol. 16: 1099–1106. https://doi.org/10.1111/j.1365-294X.2007.03089.x.17305863 Search in Google Scholar

Kawęcka A., Pasternak M., Sikora J., Miksza-Cybulska A. (2021). The state of breeding and the characteristics of selected parameters of milk performance of goats in Poland in 2009–2018. Rocz. Nauk. Zoot., 48 (1): 55–66. (in Polish). Search in Google Scholar

Kopelman N.M., Mayzel J., Jakobsson M., Rosenberg N.A., Mayrose I. (2015). Clumpak: A program for identifying clustering modes and packaging population structure inferences across K. Mol. Ecol. Resour. 15: 1179–1191. https://doi.org/10.1111/1755-0998.12387.453433525684545 Search in Google Scholar

Mastrangelo S., Tolone M., Sardina M.T., Di Gerlando R., Portolano B. (2013). Genetic characterization of the Mascaruna goat, a Sicilian autochthonous population, using molecular markers. African Journal of Biotechnology Vol. 12(24), pp. 3758-3767, 12 June, 2013 DOI: 10.5897/AJB2013.12401. Open DOISearch in Google Scholar

Mekuriaw G., Gizaw S., Dessie T., Mwai O.A., Djikeng A., Tesfaye K. (2016). Review on Current Knowledge of Genetic Diversity of Domestic Goats (Capra hircus) Identified by Microsatellite Loci: How those Efforts are Strong to Support the Breeding Programs? J. Life Sci. Biomed. 6(2): 22–32. Search in Google Scholar

Peakall R., Smouse P.E. (2006). Genalex 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol. Ecol. Notes 6, 288–295. https://doi.org/10.1111/j.1471-8286.2005.01155.x. Search in Google Scholar

Peakall R., Smouse P.E. (2012). GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research - an update. Bioinformatics 28, 2537–2539. https://doi.org/10.1093/bioinformatics/bts460346324522820204 Search in Google Scholar

Pritchard J.K., Stephens M., Donnelly P. (2000). Inference of population structure using multilocus genotype data. Genetics 155, 945–959.10.1093/genetics/155.2.945146109610835412 Search in Google Scholar

Saitbekova N., Gaillard C., Obexer-Ruff G., Dolf G. (1999). Genetic diversity in Swiss goat breeds based on microsatellite analysis. Animal Genetics 30, 36–41.10.1046/j.1365-2052.1999.00429.x10050281 Search in Google Scholar

Seilsuth S., Seo J., Kong H., Jeon G. (2016). Microsatellite Analysis of the Genetic Diversity and Population Structure in Dairy Goats in Thailand Anim Biosci. 29(3): 327-332. DOI: https://doi.org/10.5713/ajas.15.0270.481178226950862 Search in Google Scholar

Serrano M., Calvo J.H., Martínez M. et al. (2009). Microsatellite based genetic diversity and population structure of the endangered Spanish Guadarrama goat breed. BMC Genet 10, 61. https://doi.org/10.1186/1471-2156-10-61.276194219785776 Search in Google Scholar

Sikora J., Kawęcka A. (2017). Characterization of the current state of breeding and selected performance traits of Carpathian goats. Wiad. Zoot., 2: 77–82 (in Polish). Search in Google Scholar

Sikora J., Kawęcka A., Puchała M. (2020). Restitution forgotten goat breeds as an example of enriching farm animal biodiversity International Congress on Sheep and Goats–Farmers and Scientists create Future –15-16 October 2020, WCCB Bonn, Germany, www.genresj.org ISSN: 2708-3764. p.80. Search in Google Scholar

Siwek M., Knol E.F. (2010). Parental reconstruction in rural goat population with microsatellite markers. Italian Journal of Animal Science, 9: 3, DOI: 10.4081/ijas.2010.e50. Open DOISearch in Google Scholar

eISSN:
2300-8733
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Life Sciences, Biotechnology, Zoology, Medicine, Veterinary Medicine