Evidence map›Paper›PMID 41160385›Full record

ArticleRice (New York, N.Y.)2025

The Higher Average Daily Grain Yield and Its Formation Mechanisms Underlying the Efficient Photo-Assimilate Transport in Rice Ratooning.

Yuebin Xie, Jingnan Zou, Shuying Cao, Chaojie Lan, Bin Qin, Hailong Xu, Jinying Li, Minjie Yao, Hongfei Chen, Wenfang Lin and 1 more

Abstract read
In one paragraph

Article in Rice (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Yuebin XieCollege of Juncao Sciences and Ecology, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, People's Republic of China.
Jingnan ZouCollege of Juncao Sciences and Ecology, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, People's Republic of China.
Shuying CaoCollege of Juncao Sciences and Ecology, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, People's Republic of China.
Chaojie LanCollege of Agriculture, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, People's Republic of China.
Bin QinCollege of Agriculture, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, People's Republic of China.
Hailong XuCollege of Juncao Sciences and Ecology, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, People's Republic of China.
Jinying LiCollege of Life Sciences, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, People's Republic of China.
Minjie YaoCollege of Resources and Environment, Engineering Research Center of Soil Remediation of Fujian Province University, Fujian Agriculture and Forestry University, Fuzhou, 350002, People's Republic of China.
Hongfei ChenCollege of Juncao Sciences and Ecology, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, People's Republic of China.
Wenfang LinCollege of Life Sciences, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, People's Republic of China. linwf@fafu.edu.cn.
Wenxiong LinCollege of Juncao Sciences and Ecology, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, People's Republic of China. lwx@fafu.edu.cn.

Funding

National Key Research and Development Program of China 2018YFD0301105National Key Research and Development Project of China 2017YFE0121800National Natural Science Foundation of China 31871542National Nature Science Foundation of China 32001109Natural Science Foundation of Fujian Province 2022J01593
6 · The paper itself

Abstract

Studying the physioecological mechanisms behind the high daily productivity of ratoon rice is essential for improving farming strategies and maintaining stable yields in intensive cropping systems. This study compared the physiological traits of main crop rice (MR), ratooning season rice (RSR), and single-cropping mid-late rice (LR) with the same genotype and flowering time as RSR, from 2021 to 2022. The results demonstrated that RSR maintained higher leaf SPAD values than both MR and LR at the heading stage. Moreover, the translocation efficiency of stem-stored non-structural carbohydrates (NSC) to grains was significantly greater in RSR compared to MR (24.18–58.1%) and LR (24.59–63.5%). 13C isotope labeling confirmed that RSR exhibited superior assimilate allocation to grain pools, with values 13.7% and 14.74% higher than those of MR and LR, respectively. Anatomical analysis of vascular bundles at panicle-stem nodes showed an increased phloem area proportion in RSR. Furthermore, RSR exhibited elevated expression levels of genes associated with nitrogen uptake and metabolism regulation (AMTs, NRTs, and NRFs), sucrose transport (SUTs, SWEET11, and INVs), and stress tolerance (TPSs and TPPs), particularly within its grain parts, relative to MR and LR. Enzymatic activities of sucrose synthase (SS), sucrose phosphate synthase (SPS), and invertase in RSR grains were also significantly higher than in MR and LR. Further analysis indicated that these advantageous physiological traits in RSR arise from the elevated gene expression and enzyme activities, which are positively modulated by endogenous hormones including zeatin riboside (ZR), abscisic acid (ABA), and indole-3-acetic acid (IAA). These hormones serve as key factors for the efficient coordination of matter production and translocation in rice ratooning. This study provides important theoretical and practical insights into the formation and regulation mechanisms of high and stable yield in ratoon rice.

Indexed as

Dry matter accumulationEnzymatic activityMaterial transportPhytohormoneRatoon riceTranslocation

Identifiers

PMID41160385
PMCPMC12572432

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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.