Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Robin S Waples

Evolutionary applications

Showing results (1-10 of 13) with videos related to

Pageof 2
Sort By:
Evolutionary Applications|May 9, 2024
The <i>N</i>/<i>N</i> ratio in applied conservationRobin S Waples
Evolutionary Applications|January 9, 2015
Linkage disequilibrium estimates of contemporary N e using highly variable genetic markers: a largely untapped resource for applied conservation and evolutionRobin S Waples, Chi Do
Evolutionary Applications|January 9, 2015
Special Issue: Evolutionary perspectives on salmonid conservation and managementRobin S Waples, Andrew P Hendry
Evolutionary Applications|October 23, 2018
Genomics and conservation units: The genetic basis of adult migration timing in Pacific salmonidsRobin S Waples, Steven T Lindley
Evolutionary Applications|January 9, 2015
Evolutionary history of Pacific salmon in dynamic environmentsRobin S Waples, George R Pess, Tim Beechie
Evolutionary Applications|June 2, 2016
Harvest-induced evolution and effective population sizeAnna Kuparinen, Jeffrey A Hutchings, Robin S Waples
Evolutionary Applications|November 5, 2013
Assessing strategies to minimize unintended fitness consequences of aquaculture on wild populationsMarissa L Baskett, Scott C Burgess, Robin S Waples
Evolutionary Applications|January 9, 2015
Potential for anthropogenic disturbances to influence evolutionary change in the life history of a threatened salmonidJohn G Williams, Richard W Zabel, Robin S Waples, et al.
Evolutionary Applications|July 21, 2018
Disentangling genetic structure for genetic monitoring of complex populationsBrook G Milligan, Frederick I Archer, Anne-Laure Ferchaud, et al.
Evolutionary Applications|March 27, 2023
Effective population size in a partially clonal plant is not predicted by the number of genetic individualsRoberta Gargiulo, Robin S Waples, Adri K Grow, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Evolutionary Applications|May 9, 2024
The <i>N</i>/<i>N</i> ratio in applied conservationRobin S Waples
Evolutionary Applications|January 9, 2015
Linkage disequilibrium estimates of contemporary N e using highly variable genetic markers: a largely untapped resource for applied conservation and evolutionRobin S Waples, Chi Do
Evolutionary Applications|January 9, 2015
Special Issue: Evolutionary perspectives on salmonid conservation and managementRobin S Waples, Andrew P Hendry
Evolutionary Applications|October 23, 2018
Genomics and conservation units: The genetic basis of adult migration timing in Pacific salmonidsRobin S Waples, Steven T Lindley
Evolutionary Applications|January 9, 2015
Evolutionary history of Pacific salmon in dynamic environmentsRobin S Waples, George R Pess, Tim Beechie
Evolutionary Applications|June 2, 2016
Harvest-induced evolution and effective population sizeAnna Kuparinen, Jeffrey A Hutchings, Robin S Waples
Evolutionary Applications|November 5, 2013
Assessing strategies to minimize unintended fitness consequences of aquaculture on wild populationsMarissa L Baskett, Scott C Burgess, Robin S Waples
Evolutionary Applications|January 9, 2015
Potential for anthropogenic disturbances to influence evolutionary change in the life history of a threatened salmonidJohn G Williams, Richard W Zabel, Robin S Waples, et al.
Evolutionary Applications|July 21, 2018
Disentangling genetic structure for genetic monitoring of complex populationsBrook G Milligan, Frederick I Archer, Anne-Laure Ferchaud, et al.
Evolutionary Applications|March 27, 2023
Effective population size in a partially clonal plant is not predicted by the number of genetic individualsRoberta Gargiulo, Robin S Waples, Adri K Grow, et al.
Pageof 2