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

Meta-Analysis of the Factors Influencing Straw Return Effects on Maize Yield in China

Yu-Xing Hong; Yu-Quan Huang; Jun-Hui Cheng; Wei-Jun Yang; Yu-Tong Hu; Hong-Mei Zhao

Agronomy · 2026

Read source ↗ All evidence

Summary

This meta-analysis of published data demonstrates that straw return significantly increases maize yield in China by approximately 27%, with effects modulated by nitrogen fertilisation, climatic zone, and soil nutrient status. Structural equation modelling revealed that management practices and cropping systems are the primary positive drivers, whilst soil factors exert a negative direct effect (though mediated indirectly through climatic influences). The findings confirm straw return as a sustainable soil improvement practice, most effective in arid and semi-humid regions and in low-to-moderate nutrient soils.

Regional applicability

This study is specific to Chinese agro-ecological conditions and maize systems. Transferability to United Kingdom conditions is limited, as UK arable systems, soil types, climate zones, and nitrogen management practices differ substantially; however, the general principle that straw incorporation improves soil fertility and that its effectiveness depends on baseline soil nutrient status and concurrent management may be applicable to UK cereal production systems.

Key measures

Log response ratio of maize yield with versus without straw return; path coefficients from partial least squares structural equation modelling for cropping systems, management practices, soil factors, and climatic factors

Outcomes reported

The study quantified the overall effect of straw return on maize yield (26.75% increase) and identified major driving factors including nitrogen application, climatic conditions, soil nutrient status, cropping systems, and management practices using structural equation modelling.

Theme
Farming systems, soils & land use
Subject
Soil fertility & nutrient management
Study type
Meta-analysis
Study design
Meta-analysis
Source type
Peer-reviewed study
Status
Published
Geography
China
System type
Arable cereals
DOI
10.3390/agronomy16181834
Catalogue ID
NRmupdc5m3-0cp

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Ask about this record, its theme or its relevance to UK farming and policy. Pulse AI uses selected catalogue evidence and cites the sources it draws on.