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

Optimizing cover cropping application for sustainable crop production

Qinsi He, Chaoqun Lü, Annette Cowie, Shuaixiang Zhao, De Li Liu, Bo Yi, Lijie Shi, Shengwei Zhang, Tianyi Qiu, Yu Shi, Alfredo Huete, Kadambot H. M. Siddique, Qiang Yu, Lin Li

npj Sustainable Agriculture · 2025

Read source ↗ All evidence

Summary

This global meta-analysis of 3160 observations synthesised evidence on cover crop performance across 271 studies, demonstrating that legume cover crops increased soil organic carbon by 5.9% and crop yield by 16.0%, though with a trade-off of 36.2% higher nitrous oxide emissions. The authors identify context-dependent effectiveness, showing greatest benefits in low-input cereal systems with low initial soil carbon under humid warm climates, and propose mitigation strategies including no-tillage, deficit irrigation, and diversified rotations to address emission concerns whilst capturing soil and yield co-benefits.

UK applicability

The UK's cooler, temperate climate differs from the humid warm conditions identified as optimal for legume cover crops, potentially limiting yield benefits. However, findings on integrating cover crops with conservation tillage and diverse rotations may inform UK sustainable intensification strategies, particularly for improving soil carbon in intensive cereal-dominated arable systems.

Key measures

Soil organic carbon (% change), crop yield (% change), nitrous oxide emissions (% change)

Outcomes reported

The study quantified the effects of legume and non-legume cover crops on soil organic carbon accumulation, crop yield, and nitrous oxide emissions across multiple farming contexts. Results were stratified by farming system characteristics including nitrogen fertiliser use, crop diversity, initial soil carbon status, and climate.

Theme
Farming systems, soils & land use
Subject
Soil carbon & organic matter
Study type
Meta-analysis
Study design
Meta-analysis
Source type
Peer-reviewed study
Status
Published
Geography
Global
System type
Arable cereals
DOI
10.1038/s44264-025-00050-8
Catalogue ID
SNmoqqrz5j-jpg9kh

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.