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

Effects of no-tillage, mulching, drip irrigation, and nitrogen fertilization on greenhouse gas emissions, soil carbon sequestration, and crop yields in dryland agroecosystems: A meta-analysis

Rahmatullah Hashimi, Girisha Ganjegunte, Saurav Kumar, Santosh S. Palmate, Jhaman Das Suthar

Agriculture Ecosystems & Environment · 2026

Read source ↗ All evidence

Summary

This meta-analysis synthesises evidence from field trials in dryland agroecosystems to quantify how four conservation agriculture practices—no-tillage, mulching, drip irrigation, and nitrogen management—affect greenhouse gas emissions, soil carbon storage, and crop yields. By integrating heterogeneous studies, the authors characterise trade-offs and synergies between climate mitigation and productivity. The findings are intended to inform climate-smart agriculture design for water-limited regions, though specific effect magnitudes and their robustness require access to the full text.

UK applicability

The findings from dryland agroecosystems may have limited direct applicability to UK rainfall patterns and temperate soils, though conservation agriculture principles (especially no-tillage and mulching) are increasingly adopted in UK farming. The emphasis on water-efficient irrigation and nitrogen management may be most relevant to drought-prone regions of southern England and lowland areas facing water stress.

Key measures

Greenhouse gas emissions (CO₂, CH₄, N₂O), soil carbon sequestration rates, crop yields, effect sizes across heterogeneous field trials

Outcomes reported

The meta-analysis quantified the effects of no-tillage, mulching, drip irrigation, and nitrogen fertilization on greenhouse gas emissions, soil carbon sequestration, and crop yields across dryland agroecosystems. The study characterised trade-offs and synergies between climate mitigation and productivity outcomes.

Theme
Climate & resilience
Subject
Climate & greenhouse gas mitigation
Study type
Meta-analysis
Study design
Meta-analysis
Source type
Peer-reviewed study
Status
Published
Geography
Global
System type
Mixed farming
DOI
10.1016/j.agee.2026.110242
Catalogue ID
SNmov0fia4-i0yd0c

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.