Optimizing Genomic Selection in Strawberry with Dr. Joshua Sleper

"Within-family genomic selection in strawberry: optimization of marker density, trial design, and training set composition" with Dr. Joshua Sleper 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. This episode, Joshua join me to discuss his work using quantitative genetics to help give strawberry breeders a hand. Tune in to learn: · How some plants have "sticky cards" in their genetics · What challenges strawberry breeders face · How many clones are really enough · What lies on the horizon for strawberry breeding If you would like more information about this topic, this episode's paper is available here: This paper is always freely available. Contact us at podcast@sciencesocieties.org or on Twitter @FieldLabEarth if you have comments, questions, or suggestions for show topics, and if you want more content like this don't forget to

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Optimizing Genomic Selection in Strawberry with Dr. Joshua Sleper is an episode from Field, Lab, Earth by ASA, CSSA, SSSA.

This episode is 39:41 long.

This episode was published on Dec 19, 2025.

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