THE MOLECULAR TOOLBOX: GENETIC TECHNIQUES IN WILDLIFE ECOLOGY AND MANAGEMENT

By R. Deyoung, R. Honeycutt. 2005

190 citations recorded by the source corpus.

Subfields: Ecology, Genetics

View Paper: https://www.semanticscholar.org/paper/916989a3e11593a948ca45b474973189c005807c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Loren J. Hauser
2. F. Allendorf
3. J. Seeb

In Genetics

1. Loren J. Hauser
2. P. Palsbøll
3. J. Bovenschen
4. M. Pérez-Haro
5. M. C. Boerwinkel
6. F. Allendorf
7. F. Niewold
8. M. Bérubé

Citations in the corpus

• Identification of management units using population genetic data. (2007, background): “Refs [3, 4 ]) as well as in the assessment of the performance of the statistics used to define MUs (e.g.”
• The reintroduction of the Eurasian otter (Lutra lutra) into the Netherlands: hidden life revealed by noninvasive genetic monitoring (2010, background): “Genetic data is invaluable for ecologists and wildlife managers, especially when it is combined with behavioural, demographic, or spatial information (DeYoung and Honeycutt 2005).”
• Advances in molecular technology and their impact on fisheries genetics (2008, background): “Despite the multitude of different assays used in molecular genetics (Loxdale and Lushai 1998; de Bruin et al. 2003; DeYoung and Honeycutt 2005), fisheries genetics and stock structure analysis has been dominated by four marker systems: allozymes, mitochondrial DNA (mtDNA) assays, microsatellites (P”