Evidence map›Paper›PMID 41735810›Full record

ReviewPlant signaling & behavior2026

Engineered nano-pesticides: a multifaceted strategy for sustainable crop protection and enhanced food security in the era of climate change.

Krishan K Verma, Xiu-Peng Song, Qiang Liang, Lin Xu, Kamlesh K Mishra, Gan-Lin Chen, Hai-Rong Huang, Yang-Rui Li

Abstract readReview
In one paragraph

Review in Plant signaling & behavior, 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

8 authors.

Krishan K VermaSugarcane Research Institute, Guangxi Academy of Agricultural Sciences/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi Key Laboratory of Sugarcane Genetic Improvement, Nanning, Guangxi, China.ORCID 0000-0002-5501-7905
Xiu-Peng SongSugarcane Research Institute, Guangxi Academy of Agricultural Sciences/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi Key Laboratory of Sugarcane Genetic Improvement, Nanning, Guangxi, China.
Qiang LiangSugarcane Research Institute, Guangxi Academy of Agricultural Sciences/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi Key Laboratory of Sugarcane Genetic Improvement, Nanning, Guangxi, China.
Lin XuSugarcane Research Institute, Guangxi Academy of Agricultural Sciences/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi Key Laboratory of Sugarcane Genetic Improvement, Nanning, Guangxi, China.
Kamlesh K MishraDepartment of Botany, University of Lucknow, Lucknow, India.
Gan-Lin ChenGuangxi Subtropical Crops Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, China.
Hai-Rong HuangSugarcane Research Institute, Guangxi Academy of Agricultural Sciences/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi Key Laboratory of Sugarcane Genetic Improvement, Nanning, Guangxi, China.
Yang-Rui LiSugarcane Research Institute, Guangxi Academy of Agricultural Sciences/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi Key Laboratory of Sugarcane Genetic Improvement, Nanning, Guangxi, China.ORCID 0000-0002-7559-9244

Funding

Fundamental Research Fund of Guangxi Academy of Agriculture SciencesFund of Guangxi Academy of Agricultural SciencesGuangxi Characteristic Crop Experimental StationGuangxi Innovation Teams of Modern Agriculture TechnologyGuangxi Key Laboratory of Sugarcane Genetic Improvement ProjectGuangxi Natural Science FoundationKey Research and Development Program of NanningNational Key Research and Development ProjectNational Natural Science Foundation of ChinaScience and Technology Major Project of Guangxi
6 · The paper itself

Abstract

To ensure global food security and sustainable agricultural productivity in the coming years, modern technology is essential. It can boost food production, increase resilience to agroclimatic disruptions, and maintain healthy agroecosystems. Pesticide use is widely considered unsustainable due to inefficient application, high energy and water consumption, and potential harm to agroecosystems. Engineered nanoparticles (ENPs) present a promising alternative to traditional pesticides by enabling targeted delivery and controlled release of active ingredients (AIs), thereby enhancing pesticidal efficacy and efficiency. This review examines how nanopesticides, which enhance crop defense and directly target pathogens much like optimal plant nutrition, can be used to manage agricultural pests and improve yields. Nanopesticides offer several benefits, including improved crop yield and quality, enhanced foliar adhesion, and targeted delivery of active ingredients (AIs) to reduce damage from biotic and abiotic stressors. This article finds that while nanopesticides are more effective and sustainable than traditional pesticides, they may also pose greater ecological risks. Therefore, further research is needed to fully understand these potential detrimental impacts. By boosting crop yields, these benefits promote sustainable agriculture and enhance global food security.

Indexed as

Climate ChangeCrop ProtectionCrops, AgriculturalFood SecurityNanoparticlesPesticidesAgriculturePesticidescrop yielddisease toleranceEngineered nanoparticlesenhanced nutrient uptakepesticidesslow-release

Identifiers

PMID41735810
PMCPMC12940176

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.