Evidence map›Paper›PMID 42699654›Full record

ArticlePlant phenomics (Washington, D.C.)2026

Early detection and genetic insights into salt tolerance in rice by linking physiology and spectral reflectance during seed germination.

Lei Zhou, Sheng Xiang, Hongzhi Xu, Xintong Zhang, Yu Wang, Kaihao Cheng, Chengqiang Ding, Yanfeng Ding, Shichao Jin

Abstract read
In one paragraph

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

9 authors.

Lei ZhouCollege of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Collaborative Innovation Centre for Modern Crop Production Co-sponsored by Province and Ministry, Engineering Research Center of Plant Phenotyping, Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing, 211800, China.
Sheng XiangCollege of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Collaborative Innovation Centre for Modern Crop Production Co-sponsored by Province and Ministry, Engineering Research Center of Plant Phenotyping, Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing, 211800, China.
Hongzhi XuCollege of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Collaborative Innovation Centre for Modern Crop Production Co-sponsored by Province and Ministry, Engineering Research Center of Plant Phenotyping, Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing, 211800, China.
Xintong ZhangCollege of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Collaborative Innovation Centre for Modern Crop Production Co-sponsored by Province and Ministry, Engineering Research Center of Plant Phenotyping, Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing, 211800, China.
Yu WangCollege of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Collaborative Innovation Centre for Modern Crop Production Co-sponsored by Province and Ministry, Engineering Research Center of Plant Phenotyping, Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing, 211800, China.
Kaihao ChengSchool of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
Chengqiang DingCollege of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Collaborative Innovation Centre for Modern Crop Production Co-sponsored by Province and Ministry, Engineering Research Center of Plant Phenotyping, Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing, 211800, China.
Yanfeng DingCollege of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Collaborative Innovation Centre for Modern Crop Production Co-sponsored by Province and Ministry, Engineering Research Center of Plant Phenotyping, Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing, 211800, China.
Shichao JinCollege of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Collaborative Innovation Centre for Modern Crop Production Co-sponsored by Province and Ministry, Engineering Research Center of Plant Phenotyping, Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing, 211800, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil salinization threatens global agriculture, and seed germination is especially salt-sensitive. Although seed imbibition is a critical early phase, salt responses during this stage remain poorly understood. Reliance on final morphological traits limits nondestructive early phenotyping, thereby hindering efficient screening and mechanistic insight. To overcome this limitation, we integrated continuous physiological measurements with hyperspectral data to model dynamic responses of key indicators and further leveraged hyperspectral-derived traits for early prediction and genetic dissection of salt tolerance. The results showed that: (1) Salt stress induced a distinct temporal cascade of physiological changes during seed imbibition. Proline accumulation was the earliest response, initiating at 6 h, followed by marked increases in abscisic acid (ABA) and malondialdehyde (MDA) by 12 h, while gibberellin (GA) levels and α-amylase activity were strongly suppressed by 24 h. (2) Integrating hyperspectral reflectance with PLSR and principal component analysis (PCA) enabled high-throughput, real-time physiological monitoring and nondestructive early salt-tolerance classification. PLSR simultaneously estimated five physiological traits (R

Indexed as

Early predictionHyperspectral reflectanceRiceSalt stressSeed germinationTemporal genetic architecture

Identifiers

PMID42699654
PMCPMC13544091

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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.