Mapping QTLs for PHS resistance and development of a deep learning model to measure PHS rate in japonica rice
Abstract Rice (Oryza sativa L.) is a staple food for more than half of the global population. Preharvest sprouting (PHS), which reduces yield and grain quality, presents a major challenge for rice production. The development of PHS‐resistant varieties is a major goal in japonica rice breeding. A dee...
| Published in: | The Plant Genome |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-09-01
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| Online Access: | https://doi.org/10.1002/tpg2.70109 |
