Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Improving soil health indicators in row crop systems through cover cropping, no‐till management, and crop rotation

Heather L. Tyler; Partson Mubvumba; Martin A. Locke; Krishna N. Reddy

Agronomy Journal · 2025

Read source ↗ All evidence

Summary

This four-year field trial evaluated the effects of combining no-till, winter cover cropping (winter pea), and crop rotation on soil health indicators and yield in a silty Mississippi Delta soil. The study assessed all factorial combinations of these conservation practices to identify which combinations most consistently improved soil health metrics. The findings contribute evidence on the trade-offs between conservation practice adoption costs and measurable soil health benefits in intensive row crop systems.

UK applicability

The study is specific to a Mississippi Delta silty soil under cotton-based systems, which differs substantially from UK arable contexts. However, the broader findings on the relative contributions of no-till, cover cropping, and rotation to soil health improvement are relevant to UK arable farm policy and practice, particularly under the Sustainable Farming Incentive and soil health monitoring frameworks.

Key measures

Soil health indicators (likely including organic matter, microbial activity, aggregate stability, bulk density); crop yield (cotton and rotation crops)

Outcomes reported

The study measured soil health indicators and crop yield after four years of conservation management combinations including tillage regime, winter cover cropping, and crop rotation in a silty Mississippi Delta soil.

Theme
Farming systems, soils & land use
Subject
Soil health & conservation management
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
United States (Mississippi Delta)
System type
Arable row crops
DOI
10.1002/agj2.70185
Catalogue ID
NRmo3f02hq-0er

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.