Monitoring and Risk Prediction of Low-Temperature Stress in Strawberries through Fusion of Multisource Phenotypic Spatial Variability Features.

Nan Jiang, Zaiqiang Yang, Hanqi Zhang, Chengjing Zhang, Canyue Wang, Na Wang, Chao Xu

Abstract read

In one paragraph

Article in Plant phenomics (Washington, D.C.), 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.

Molecular Mechanisms of Cold Stress Response in Strawberry and Breeding Strategies.Current issues in molecular biology · 2025
Review

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

7 authors.

Nan JiangSchool of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, PR China.

Zaiqiang YangSchool of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, PR China.

Hanqi ZhangSchool of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, PR China.

Chengjing ZhangSchool of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, PR China.

Canyue WangSchool of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, PR China.

Na WangSchool of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, PR China.

Chao XuInstitute of Horticulture, Jiangxi Academy of Agricultural Sciences, Nanchang, 330299, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Capturing crop physiological information by phenotyping is a key trend in smart agriculture. However, current studies underutilize spatial structural information in phenotypic imaging. To evaluate the feasibility of crop cold stress monitoring based on phenotypic spatial variability, we conducted controlled experiments on 'Toyonoka' strawberry plants under four dynamic cooling gradients and three stress durations and analyzed the dependence of their photosynthetic physiology and phenotypic traits on temperature-time interactions. The results revealed that NPQ/1D-Parallel/TENT, Y(NO)/2D-Region/INEM, and qP/1D-Parallel/TENT presented the highest mutual information, with the maximum net photosynthetic rate (P

Indexed as

Cold stress monitoring and early warningExplainable machine learningFragaria × ananassa Duch.Phenotypic spatial variability featuresPhotosynthetic physiology

Identifiers

PMID41415181

DOI10.1016/j.plaphe.2025.100041

PMCPMC12710058

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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.