Cost-effectiveness analysis of a strawberry breeding program incorporating dna-informed technology

Seth D. Wannemuehler, Chengyan Yue, Wendy K. Hoashi-Erhardt, R. Karina Gallardo, Vicki McCracken

Research output: Contribution to journalArticle

Abstract

DNA-informed breeding techniques allow breeders to examine individual plants before costly field trials. Previous studies with tree fruits such as apple (Malus ·domestica) and peach (Prunus persica) have identified cost-effective implementation of DNA-informed techniques. However, it is unclear whether breeding programs for herbaceous perennials with 1-to 2-year juvenile phases benefit economically from these techniques. In this study, a cost-benefit analysis examining marker-assisted selection (MAS) in a Pacific northwest U.S. strawberry (Fragaria ·ananassa) breeding program was conducted to elucidate the effectiveness of DNA-informed breeding in perennial crops and explore the capabilities of a decision support tool. Procedures and associated costs were identified to create simulations of the breeding program. Simulations compared a conventional breeding program to a breeding program using MAS with low (12.5%), medium (25%), and high (50%) removal rates, and examined different scenarios where MAS had diminishing power to remove individuals as selections reenter the breeding cycle as parent material. We found that MAS application under current costs was not cost-effective in the modeled strawberry program when applied at the greenhouse stage, but cost-effectiveness was observed when MAS was applied at the end of the seedling trials before clonal trials with a removal rate of 12.5%.

Original languageEnglish (US)
Pages (from-to)365-371
Number of pages7
JournalHortTechnology
Volume30
Issue number3
DOIs
StatePublished - 2020

Keywords

  • Calculator
  • Fragaria ·ananassa
  • Rosaceous fruit
  • Spreadsheet
  • Strawberry

Fingerprint Dive into the research topics of 'Cost-effectiveness analysis of a strawberry breeding program incorporating dna-informed technology'. Together they form a unique fingerprint.

  • Cite this

    Wannemuehler, S. D., Yue, C., Hoashi-Erhardt, W. K., Karina Gallardo, R., & McCracken, V. (2020). Cost-effectiveness analysis of a strawberry breeding program incorporating dna-informed technology. HortTechnology, 30(3), 365-371. https://doi.org/10.21273/HORTTECH04519-19