Final published version
Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution to Journal/Magazine › Review article › peer-review
| <mark>Journal publication date</mark> | 2/02/2024 |
|---|---|
| <mark>Journal</mark> | Journal of Experimental Botany |
| Issue number | 3 |
| Volume | 75 |
| Number of pages | 4 |
| Pages (from-to) | 659-662 |
| Publication Status | Published |
| <mark>Original language</mark> | English |
For crop improvement, identifying natural genetic variants that impact photosynthesis and demonstrating their utility for breeding programmes has been a missing link (Theeuwen et al., 2022). Keller et al. (2024) show how higher throughput tools can break down these barriers, with the promise that photosynthetic phenotypes and their underpinning genetics can increasingly be made accessible for crop breeding programmes.