Microsatellite characterisation and sex-typing in two invasive parakeet species, the monk parakeet Myiopsitta monachus and ring-necked parakeet Psittacula krameri

Dawson Pell, F.S.E. orcid.org/0000-0002-4212-7208, Hatchwell, B.J. orcid.org/0000-0002-1039-4782, Ortega-Segalerva, A. et al. (3 more authors) (2020) Microsatellite characterisation and sex-typing in two invasive parakeet species, the monk parakeet Myiopsitta monachus and ring-necked parakeet Psittacula krameri. Molecular Biology Reports, 47 (2). pp. 1543-1550. ISSN 0301-4851

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 The Authors. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Population genetics; Microsatellite loci; Sex markers; Invasive species; Aves; Psittacidae
Dates:
  • Accepted: 28 November 2019
  • Published (online): 11 December 2019
  • Published: February 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Biological Sciences (Sheffield) > Department of Animal and Plant Sciences (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 04 Feb 2020 16:29
Last Modified: 04 Feb 2020 16:29
Status: Published
Publisher: Springer Nature
Refereed: Yes
Identification Number: https://doi.org/10.1007/s11033-019-05215-6
Related URLs:

Share / Export

Statistics