Pulse Brain · Growing Health Evidence Index
Tier 1 — Meta-analysis / systematic reviewPeer-reviewed

Diversification practices reduce yield gap

Ponisio, L.C. et al.

2015

Read source ↗ All evidence

Summary

This meta-analysis, published in Proceedings of the Royal Society B, synthesises a large body of comparative yield data to reassess the commonly cited organic yield gap. Ponisio et al. find that the gap between organic and conventional yields is narrower than previously estimated when diversification practices such as multi-cropping and crop rotations are employed. The study argues that the yield penalty of organic agriculture is not fixed and can be meaningfully reduced through appropriate agronomic diversification strategies.

UK applicability

The findings are broadly applicable to UK arable and mixed farming contexts, where policy interest in agro-ecological transitions and diversified cropping systems is growing under post-Brexit agricultural support frameworks such as the Sustainable Farming Incentive. UK practitioners considering organic conversion may find the evidence on yield gap reduction through diversification particularly relevant.

Key measures

Yield ratio (organic vs conventional); percentage yield gap reduction attributable to diversification practices; crop type and management practice as moderating variables

Outcomes reported

The study quantified the yield gap between organic and conventional farming systems and assessed how specific diversification practices — such as multi-cropping, crop rotations, and intercropping — affect that gap. It reported that diversification practices can substantially reduce the organic yield gap relative to conventional monoculture systems.

Theme
Farming systems, soils & land use
Subject
Organic farming & cropping systems
Study type
Meta-analysis
Study design
Meta-analysis
Source type
Peer-reviewed study
Status
Published
Geography
Global
System type
Mixed arable and horticultural
Catalogue ID
XL0876

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.