Redefining the accumulated temperature index for accurate prediction of rice flowering time in diverse environments.

ABSTRACT: Accurate prediction of flowering time across diverse environments is crucial for effective crop management and breeding. While the accumulated temperature index (ATI) is widely used as an indicator for estimating flowering time, its traditional definition lacks systematic evaluation and genetic basis understanding. Here, using data from 422 rice hybrids across 47 locations, we identified the optimal ATI calculation window as 1 day after sowing to 26 days before flowering. Based on this redefined ATI, we developed a single-parameter model that outperforms the state-of-the-art reaction norm index model in both accuracy and stability, especially with limited training data. We identified 10 loci significantly associated with ATI variation, including two near known flowering time genes and four

SUBMITTER: Xu X 

PROVIDER: S-EPMC11672749 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature