Evidence map›Paper›PMID 42663689›Full record

ReviewPlant cell reports2026

RNAi: the next wave of green agriculture, challenges, and bridging the translational gap.

Zal Khan Abdullah, Lih Ling Kong, Norazrin Ariffin, Mui Yun Wong

Abstract readReview
PubMed Publisher
In one paragraph

Review in Plant cell reports, 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

4 authors.

Zal Khan AbdullahLaboratory of Sustainable Agronomy and Crop Protection, Institute of Plantation Studies, Universiti of Putra Malaysia, 43400, Serdang, Selangor, Malaysia.ORCID http://orcid.org/0009-0005-0659-5521
Lih Ling KongLaboratory of Sustainable Agronomy and Crop Protection, Institute of Plantation Studies, Universiti of Putra Malaysia, 43400, Serdang, Selangor, Malaysia.ORCID http://orcid.org/0000-0001-9085-1834
Norazrin AriffinDepartment of Agriculture Technology, Faculty of Agriculture, Universiti of Putra Malaysia, 43400, Serdang, Selangor Darul Ehsan, Malaysia.ORCID http://orcid.org/0000-0001-8652-8698
Mui Yun WongLaboratory of Sustainable Agronomy and Crop Protection, Institute of Plantation Studies, Universiti of Putra Malaysia, 43400, Serdang, Selangor, Malaysia. muiyun@upm.edu.my.ORCID https://orcid.org/0000-0002-6944-4860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agriculture must achieve substantial yield gains while drastically reducing its environmental footprint to meet the food demands of a growing global population by 2050. Current crop losses to pests and pathogens account for 20-40% of annual production, a challenge predominantly addressed by chemical pesticides, which impose high ecological and health costs. RNA interference (RNAi) has emerged as a transformative, species-specific solution, demonstrating high efficacy (> 90%) against susceptible target pests under controlled laboratory conditions, though responsiveness varies considerably across taxa. However, the transition of RNAi to widespread field application has been slow. The first commercial RNAi-based crop trait targeting corn rootworm, MON 87411, was introduced as part of SmartStax PRO

Indexed as

AgricultureCrops, AgriculturalRNA InterferencePest Control, BiologicalPlants, Genetically ModifiedRNA, Double-StrandedRNA, Double-StrandedBiotechnologydsRNA commercializationGene silencingHIGSRNA interferenceSIGS

Identifiers

PMID42663689

What OpenQuestion holds

Textmetadata
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.