ReviewPlant communications2025
Integrating genome editing with omics, artificial intelligence, and advanced farming technologies to increase crop productivity.
Review in Plant communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Optimized R2 retroelement complexes for DNA insertion into plant genomes.Nature biotechnology · 2026Article
- Advances in CRISPR/Cas systems for engineering abiotic stress tolerance in plants: mechanisms and future prospects.Planta · 2026Review
- Geminivirus-derived replicons: assessment for transient GFP expression in tobacco and tomato.Frontiers in plant science · 2026Article
- Advancements in photosynthetic efficiency: Pathways, regulation, and biotechnological applications for enhancing crop productivity.Plant signaling & behavior · 2025Review
- Mechanism and Application of Developmental Factors in Plant Genetic Transformation.International journal of molecular sciences · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Celebrated for boosting agricultural productivity and enhancing food security worldwide, the Green Revolution comprised some of the most significant advances in crop production in the 20th century. However, many recent studies have reported crop yield stagnation in certain regions of the world, raising concerns that yield gains are no longer sufficient to feed the exponentially growing global population. Here, we review the current challenges facing global crop production and discuss the potential of genome editing technologies to overcome yield stagnation, along with current legislative barriers that limit their application. We assess strategies for the integration of genome editing with omics, artificial intelligence, robotics, and advanced farming technologies to improve crop performance. To achieve real-world yield improvements, agricultural practices must also evolve. We discuss how precision farming approaches-including satellite technology, AI-driven decision support, and real-time monitoring-can support climate-resilient and sustainable agriculture. Going forward, it will be essential to address issues throughout the agricultural pipeline to fully integrate rapidly developing genome editing methods with other advanced technologies, enabling the industry to keep up with environmental changes and ensure future food security.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.