Evidence map›Paper›PMID 40941948›Full record

ReviewPlants (Basel, Switzerland)2025

Integrating Artificial Intelligence and Biotechnology to Enhance Cold Stress Resilience in Legumes.

Kai Wang, Lei Xia, Xuetong Yang, Chang Du, Tong Tang, Zheng Yang, Shijie Ma, Xinjian Wan, Feng Guan, Bo Shi and 2 more

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

12 authors.

Kai WangInstitute of Vegetables and Flowers, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China.
Lei XiaInstitute of Vegetables and Flowers, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China.
Xuetong YangInstitute of Vegetables and Flowers, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China.ORCID 0009-0002-2603-3321
Chang DuGuangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Science, South China Normal University, Guangzhou 510631, China.ORCID 0009-0002-4230-1648
Tong TangDepartment of Computer Science and Information Technologies, Elviña Campus, University of A Coruña, 15001 A Coruña, Spain.ORCID 0000-0003-1657-612X
Zheng YangZhengzhou Research Base, State Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China.ORCID 0009-0003-4654-7634
Shijie MaCrop Research Institute, Anhui Academy of Agricultural Sciences, Hefei 230031, China.
Xinjian WanInstitute of Vegetables and Flowers, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China.
Feng GuanInstitute of Vegetables and Flowers, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China.ORCID 0000-0001-9645-2965
Bo ShiInstitute of Vegetables and Flowers, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China.
Yuanyuan XieInstitute of Vegetables and Flowers, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China.
Jingyun ZhangInstitute of Vegetables and Flowers, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China.

Funding

Jiangxi Academy of Agricultural Sciences JXSNKYJCRC202435
6 · The paper itself

Abstract

Cold stress severely limits legume productivity, threatening global food security, particularly in climate-vulnerable regions. This review synthesizes advances in understanding and enhancing cold tolerance in key legumes (chickpea, soybean, lentil, and cowpea), addressing three core questions: (1) molecular/physiological foundations of cold tolerance; (2) how emerging technologies accelerate stress dissection and breeding; and (3) integration strategies and deployment challenges. Legume cold tolerance involves conserved pathways (e.g.,

Indexed as

advanced sensor technologiesartificial intelligencecold stresslegumemachine learning

Identifiers

PMID40941948
PMCPMC12430715

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.