Evidence map›Paper›PMID 41971403›Full record

ArticleFood chemistry: X2026

Multi-year field evidence for minimum nighttime temperature thresholds in rice fatty acid composition during grain filling.

Wenjie Yu, Qiuning Wang, Qifang Sun, Qiming Zhu, Tao Liu, Shengxiang Yi, Gaowei Zhang, Jie Zhu, Jingze Cao, Jinwang Li and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Food chemistry: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Wenjie YuKey Laboratory of Geriatric Nutrition and Health (School of Food and Health, Beijing Technology and Business University), Ministry of Education, Beijing 100048, China.
Qiuning WangKey Laboratory of Geriatric Nutrition and Health (School of Food and Health, Beijing Technology and Business University), Ministry of Education, Beijing 100048, China.
Qifang SunSchool of Life Sciences, Nanchang University, Nanchang 330031, China.
Qiming ZhuKey Laboratory of Geriatric Nutrition and Health (School of Food and Health, Beijing Technology and Business University), Ministry of Education, Beijing 100048, China.
Tao LiuKey Laboratory of Geriatric Nutrition and Health (School of Food and Health, Beijing Technology and Business University), Ministry of Education, Beijing 100048, China.
Shengxiang YiSchool of Life Sciences, Nanchang University, Nanchang 330031, China.
Gaowei ZhangSchool of Life Sciences, Nanchang University, Nanchang 330031, China.
Jie ZhuKey Laboratory of Geriatric Nutrition and Health (School of Food and Health, Beijing Technology and Business University), Ministry of Education, Beijing 100048, China.
Jingze CaoKey Laboratory of Geriatric Nutrition and Health (School of Food and Health, Beijing Technology and Business University), Ministry of Education, Beijing 100048, China.
Jinwang LiKey Laboratory of Geriatric Nutrition and Health (School of Food and Health, Beijing Technology and Business University), Ministry of Education, Beijing 100048, China.
Yan LiPublic Meteorological Service Center, China Meteorological Administration, Beijing 100081, China.
Xiaoqing FanPublic Meteorological Service Center, China Meteorological Administration, Beijing 100081, China.
Xiali GuoSchool of Life Sciences, Nanchang University, Nanchang 330031, China.
Yanling SongChina Academy of Meteorological Sciences, State Key Laboratory of Severe Weather, Beijing 100081, China.
Liping LuoKey Laboratory of Geriatric Nutrition and Health (School of Food and Health, Beijing Technology and Business University), Ministry of Education, Beijing 100048, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fat content shapes rice eating and nutritional quality, yet its climate response remains unclear. In this study, we combined six years of multisite field observations across nine provinces in southern China with an interpretable random forest model to identify drivers of rice fat. The model showed that the minimum nighttime temperature during grain filling (TMIN) was identified as the primary factor. Fat content increased with TMIN, whereas the unsaturated fatty acid index (IUFA) exhibited three distinct accumulation patterns and generally declined at higher TMIN. This pattern indicates a physiological tradeoff potentially linked to changes in energy metabolism and membrane stability of rice. Patterns were independently validated in 2024 field trials at 11 sites. Furthermore, projections indicate higher fat under warming but declining IUFA, especially in early- and mid-season rice. These results support climate-resilient cultivation, sustainability, and quality management of rice.

Indexed as

Climate changeFatFatty acidsMinimum temperatureRice

Identifiers

PMID41971403
PMCPMC13068580

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.