Evidence map›Paper›PMID 42701897›Full record

ArticleGM crops & food2026

Genetically modified (GM) crop use 1996-2024: farm income and production impacts.

Graham Brookes

Abstract read
In one paragraph

Article in GM crops & food, 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

1 author.

Graham BrookesPG Economics Ltd., Dorchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper updates previous estimates of the global value of using genetically modified (GM) crop technology in agriculture at the farm level. It examined impacts on yields, key variable costs, direct farm income and impacts on production of the main crops where the technology is used. The economic benefits have been significant with farm incomes for those using the technology having increased by $384.9 billion US dollars (1996-2024). This equates to an average farm income gain of $106/hectare. The farm income gains are divided 52% to farmers in developing countries and 48% to farmers in developed countries. Sixty-eight per cent of the gains have derived from yield and production gains with 32% coming from cost savings. These yield and production gains have made important contributions to increasing global production levels of the four main crops, having, for example, added 459 million tonnes and 817 million tonnes respectively to the global production of soybeans and maize since 1996. In 2024, the extra global production of the crops in which GM technology has been used (99 million tonnes), would have, if conventional production systems been used, required an additional 25.5 million ha of land to be planted to these crops. In terms of investment, for each extra dollar invested in GM crop seeds (relative to the cost of conventional seed), farmers gained an average US $4.17 in extra income. In developing countries, the average return was $5.31, and in developed countries the average return was $3.47.

Indexed as

AgricultureCrops, AgriculturalFarmsPlants, Genetically ModifiedDeveloping CountriesIncomeZea maysCostgenetically modified cropsincomeproductionyield

Identifiers

PMID42701897
PMCPMC13556975

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.