*By: Christos Palaiokostas, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden * The ability to predict disease resistance using genomic information in aquaculture species has attracted considerable research efforts. In the current study, various Machine Learning (ML) models were evaluated in terms of their efficiency […]
Archivos diarios: 07/20/2021
By: Linnea K. Andersen, Jason Abernathy, David L. Berlinsky, Greg Bolton, Matthew M. Booker, Russell J. Borski, Travis Brown, David Cerino, Michael Ciaramella, Robert W. Clark, Michael O. Frinsko, S. Adam Fuller, Steve Gabel, Bartholomew W. Green, Eric Herbst, Ronald G. Hodson, Michael Hopper, Linas W. Kenter, Frank Lopez, Andrew […]
By: David F . Willer, Samuel F urse & David C . Aldridge * The use of live algae is driving excessive and unsustainable energy and resource use in bivalve production. Since the 1990s, the bivalve aquaculture industry has been seeking non-live alternative feeds to reduce its need for antibiotics. […]
By: Richard S. Cottrell, Marc Metian, Halley E. Froehlich, Julia L. Blanchard, Nis Sand Jacobsen, Peter B. McIntyre, Kirsty L. Nash, David R. Williams, Lex Bouwman, Jessica A. Gephart, Caitlin D. Kuempel, Daniel D. Moran, Max Troell and Benjamin S. Halpern * In this review article developed by a group of […]