HomePublicationsCSA NewsIssuesCSA News: Volume 71, Issue 2Optimizing genomic selection in strawberryListen to the latest podcast episode January 30, 2026 Optimizing Genomic Selection in Strawberry with Dr. Joshua Sleper | Field, Lab, Earth Podcast #137 If plant breeding were a poker game, you’d have to play a lot of hands to beat the house. Quantitative genetics hopes to give players an advantage by recognizing patterns that can point to future success. In strawberry, a genetically complex and labor-intensive plant, this is particularly important. In this episode of the Field, Lab, Earth podcast, Dr. Joshua Sleper discusses his work using quantitative genetics to help give strawberry breeders a hand.Dig deeperThis episode is based on the The Plant Genome article, “Within-Family Genomic Selection in Strawberry: Optimization of Marker Density, Trial Design, and Training Set Composition”: https://doi.org/10.1002/tpg2.20550.Check out the episode show notes.Earn CEU credit here.Contact us. More podcasts Back to issue Back to home Text © . The authors. CC BY-NC-ND 4.0. Except where otherwise noted, images are subject to copyright. Any reuse without express permission from the copyright owner is prohibited.Share this: Related articles Integrating empirical and AI approaches improves sediment load prediction September 11, 2026 Beef—it’s what’s for dinner, thanks to carbon September 10, 2026 Special offer for Organic Specialty certification exam registration September 10, 2026 Recent articles Integrating empirical and AI approaches improves sediment load prediction September 11, 2026 Beef—it’s what’s for dinner, thanks to carbon September 10, 2026 Lead the future of your Society September 9, 2026