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

Soil Nutrient Stoichiometry Improved Soil Carbon Storage and Crop Productivity Under Legume‐Based Strip Intercropping System

Muhammad Nadeem Ashraf; Muhammad Shahzaib Tariq; Zia Ur Rahman Farooqi; Sana ur Rehman; Muhammad Farooq; Aqeela Shaheen

Soil Use and Management · 2026

Read source ↗ All evidence

Summary

This field-based study examines the influence of legume-based strip intercropping systems — including sesame–guar combinations — on soil nutrient stoichiometry, organic carbon accrual, and crop productivity. Results indicate that intercropping consistently increased SOC and total nitrogen relative to monocropping, with land equivalent ratios between 1.29 and 1.36 suggesting a meaningful yield advantage. The study contributes evidence that crop diversification through strategic intercropping can support both soil carbon sequestration and productive efficiency, with implications for climate-resilient agricultural management.

UK applicability

The study was likely conducted in a semi-arid South Asian context using crops such as sesame and guar that are not typical of UK farming systems; however, the underpinning principles regarding legume intercropping, C:N:P stoichiometry, and soil carbon management are broadly applicable to UK arable diversification strategies and policy frameworks promoting soil health under the Environmental Land Management scheme.

Key measures

Soil organic carbon (SOC); total nitrogen (TN); SOC and TN stocks; carbon management index (CMI); C:N:P stoichiometric ratios; land equivalent ratio (LER)

Outcomes reported

The study measured soil organic carbon, total nitrogen stocks, carbon management indices, and C:N:P stoichiometry under various strip intercropping systems compared to monocropping. Crop productivity was assessed via land equivalent ratio, with intercropping systems showing yield advantages over sole crops.

Theme
Farming systems, soils & land use
Subject
Soil carbon & nutrient cycling
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
Pakistan
System type
Arable mixed cropping
DOI
10.1111/sum.70176
Catalogue ID
NRmo3f02hq-0ec

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.