Evidence map›Paper›PMID 41754345›Full record

ArticlePlants (Basel, Switzerland)2026

Stage-Specific Effects of Climatic Variation on Rice Yield and Nitrogen Use Efficiency for Identifying Adaptive Genotypes Based on Variable Selection Method.

Yingjun Ma, Xianglong Liang, Zhongqi Li, Pulin Kong, Huimin Zhang, Jinxia Xiang, Zhiyao Tian, Mingniang Qi, Ziyang Qu, Xianyang Li and 3 more

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 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

13 authors.

Yingjun MaSanya Institute of Nanjing Agricultural University, Sanya 572024, China.
Xianglong LiangDepartment of Statistics and Data Science, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen 518055, China.ORCID 0000-0002-1751-2665
Zhongqi LiSanya Institute of Nanjing Agricultural University, Sanya 572024, China.
Pulin KongInstitute of Grain and Oil, Meizhou Academy of Agriculture and Forestry Sciences, Meizhou 514000, China.
Huimin ZhangSanya Institute of Nanjing Agricultural University, Sanya 572024, China.
Jinxia XiangSanya Institute of Nanjing Agricultural University, Sanya 572024, China.
Zhiyao TianSanya Institute of Nanjing Agricultural University, Sanya 572024, China.ORCID 0009-0004-9625-4685
Mingniang QiSanya Institute of Nanjing Agricultural University, Sanya 572024, China.
Ziyang QuSanya Institute of Nanjing Agricultural University, Sanya 572024, China.
Xianyang LiSanya Institute of Nanjing Agricultural University, Sanya 572024, China.
Biqi LeiSanya Institute of Nanjing Agricultural University, Sanya 572024, China.
Chanakan Prom-U-ThaiLanna Rice Research Center, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0001-7167-5150
Xiaorong FanSanya Institute of Nanjing Agricultural University, Sanya 572024, China.ORCID 0000-0001-8844-1713

Funding

2024 Sanya Science and Technology "Fanxing" Special Scientific Research Project 2024KJFX032Innovation ability construction plan of Zhongshan biological breeding Laboratory bm2022008-02Key Research and Development Project of Hainan Province in 2024 ZDYF2024KJTPY006the National Natural Science Foundation of China 32573135
6 · The paper itself

Abstract

Extreme weather variability across different climatic regions severely threatens rice yield and nitrogen use efficiency (NUE). To clarify the response of rice traits to climatic factors and optimize adaptive strategies, this study conducted field experiments in Nanjing (subtropical monsoon climate, 2022-2024) and Sanya (tropical marine climate, 2024). Nine rice genotypes covering indica, japonica, and hybrid genetic backgrounds were used, and the least absolute shrinkage and selection operator (LASSO) regression model was applied to identify the key drivers among climatic factors (air temperature, solar radiation, rainfall) and nitrogen application rates. Results showed growth stage-specific responses of rice to climatic stress: high-temperature stress during the flowering stage and low-temperature stress during the filling stage were key yield-limiting factors, while rainfall during the seedling stage and solar radiation during the tillering stage positively promoted yield and NUE. Nitrogen metabolic enzyme activities during the filling stage were the core physiological link connecting environmental stress and yield (R

Indexed as

climatic variationecological adaptabilityLASSO regressionnitrogen metabolic enzymesnitrogen use efficiencyriceyield

Identifiers

PMID41754345
PMCPMC12944175

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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.