Evidence map›Paper›PMID 41947461›Full record

ReviewPlant communications2026

Beyond Data: Artificial intelligence, knowledge graphs, and the next revolution in wheat breeding.

Xiaoming Xie, Peng Zhao, Yuqi Zhang, Wenxi Wang, Zihao Wang, Zhaoxing Yu, Zhe Chen, Baoyue Zhang, Mingming Xin, Zhongfu Ni and 2 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Plant communications, 2026. 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. 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.

Xiaoming XieFrontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, China Agricultural University, Beijing 100193, China.
Peng ZhaoFrontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, China Agricultural University, Beijing 100193, China.
Yuqi ZhangFrontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, China Agricultural University, Beijing 100193, China.
Wenxi WangFrontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, China Agricultural University, Beijing 100193, China.
Zihao WangFrontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, China Agricultural University, Beijing 100193, China; Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Zhaoxing YuFrontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, China Agricultural University, Beijing 100193, China.
Zhe ChenFrontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, China Agricultural University, Beijing 100193, China.
Baoyue ZhangFrontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, China Agricultural University, Beijing 100193, China.
Mingming XinFrontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, China Agricultural University, Beijing 100193, China.
Zhongfu NiFrontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, China Agricultural University, Beijing 100193, China.
Qixin SunFrontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, China Agricultural University, Beijing 100193, China.
Weilong GuoFrontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, China Agricultural University, Beijing 100193, China. Electronic address: guoweilong@cau.edu.cn.

Funding

Non-US Government Research Support type
6 · The paper itself

Abstract

As a cornerstone of global food security, wheat (Triticum aestivum) faces unprecedented pressure from a growing population and a changing climate. However, traditional breeding approaches are increasingly insufficient to address the genetic complexity required to achieve substantial gains in yield and resilience. This review highlights key advances in the generation of large-scale, standardized datasets through the integration of high-throughput genotyping and multidimensional phenotyping. We explore how multi-omics integration and knowledge graph-based frameworks transform heterogeneous data into actionable breeding knowledge. In addition, we examine the pivotal role of artificial intelligence (AI) and machine learning in enhancing predictive modeling, refining genomic selection, and enabling intelligent decision-making. These advances underpin the emerging paradigm of Breeding 5.0, which leverages data-driven innovation and closed-loop iterative cycles. Looking ahead, multimodal AI and personalized breeding strategies will be critical for developing sustainable systems capable of ensuring global food security under climate change.

Indexed as

Artificial IntelligencePlant BreedingTriticumGenomicsMachine LearningBreeding 5.0data-driven agricultureknowledge graphssmart breedingwheat

Identifiers

PMID41947461
PMCPMC13174247

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.