A climate impact attribution of historical rice yields in Sri Lanka using three crop models.

Sci Rep · 2025 · PMC12048595 · PMID 40316584

Europe PMC DOI

hedged sentence

0.0890

closest p · 1.8× alpha

0.0890

boldest claim

The sentences

marginally significantp = 0.089so close (0.05 < p ≤ 0.1)

marginally insignificantp = 0.113not close (p > 0.1)

For the Maha season, it was estimated that the yield reduction in 2017 had worsen due to climate change in two models, relative to the yield in 2017 without climate change, although these estimates were marginally significant for APSIM (–0.19% and p = 0.089) and marginally insignificant for DSSAT (–0.19% and p = 0.113) (Fig. 5 c).

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