Loading…
Welcome to the interactive web schedule for the 2018 Midwest Fish & Wildlife Conference! For tips on how to navigate this site, visit the "Helpful Info" section. To return to the main Conference website, go to: www.midwestfw.org.
Back To Schedule
Tuesday, January 30 • 6:00pm - 9:00pm
Poster Display. Developing a High-throughput SNP Panel for Walleye in Wisconsin and Minnesota

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

AUTHORS: Matthew Bootsma, Keith Turnquist - Wisconsin Cooperative Fishery Research Unit, College of Natural Resources, University of Wisconsin-Stevens Point; Greg Sass, Wisconsin Department of Natural Resources; Wes Larson, U.S. Geological Survey, Wisconsin Cooperative Fishery Research Unit, College of Natural Resources, University of Wisconsin-Stevens Point

ABSTRACT: Historically, stocking and management practices for walleye (Sander vitreus) have been based on estimates of spawning and recruitment success, which are typically informed by survey catch data. These management strategies are aimed at increasing the success of future recruitment by selectively protecting individuals belonging to life stages thought to play critical roles in reproductive success. Recruitment is more than a factor of just population size; it can be heavily influenced by genetic interactions within and among populations, with fitness being influenced by factors such as gene flow, genetic erosion, and outbreeding and inbreeding depression. Our research objective is to use restriction-site-associated DNA sequencing to genotype ~5,000 genetic markers in 20 populations of walleye from Wisconsin and Minnesota, from which, a panel of ~200 high quality SNP markers will be defined. Our SNP panel will allow for more cost and time effective stock evaluation and large-scale pedigree analysis, which will lead to more informed decision making and improved long-term management of inland walleye fisheries.

Tuesday January 30, 2018 6:00pm - 9:00pm CST
Ballroom C & Foyer

Attendees (5)