Design and Analysis of 36 Novel Technical Models for Straw Return in Rice–Wheat Systems Based on Spatial and Temporal Variability
Straw return is essential for improving soil fertility, recycling organic matter, and sustaining productivity in rice–wheat systems. This study focuses on the conceptual design and systematic analysis of the spatial and temporal variability of straw return methods and their classification. We proposed and analyzed 36 technical models for straw return by integrating spatial distribution (depth and horizontal placement) with temporal variability (decomposition period managed through mulching or decomposers). The models of straw return were categorized into five classes: mixed burial, even spreading, strip mulching, deep burial, and ditch burial. Field experiments were conducted in Babaiqiao Town, Nanjing, China, using clay loam soils typical of intensive rice–wheat rotation. Soil properties (bulk density, porosity, and moisture content) and straw characteristics (length and density) were evaluated to determine their influence on decomposition efficiency and nutrient release. Results showed that shallow incorporation (0–5 cm) accelerated straw breakdown and microbial activity, while deeper incorporation (15–20 cm) enhanced long-term organic matter accumulation. Temporal control using mulching films and decomposer agents further improved moisture retention, aeration, and nutrient availability. For the rice–wheat system study area, four typical straw return modes were selected based on spatial distribution and soil physical parameters: straw even spreading, rotary plowing, conventional tillage with mulching, and straw plowing with burying. This study added to the growing body of literature on straw return by providing a systematic analysis of the parameters influencing straw decomposition and the incorporation. The results have significant implications for sustainable agricultural practices, offering practical recommendations for optimizing straw return strategies to improve soil health.
Authors
- Qishuo Ding (ORCID: https://orcid.org/0000-0002-9871-9587)
- Yinian Li (ORCID: https://orcid.org/0000-0003-2945-2388)
- Ruiyin He (ORCID: https://orcid.org/0000-0003-3030-6214)
- Xiaoyuan Yan
- Sagni B. Miressa (ORCID: https://orcid.org/0009-0008-8219-5708)
- Aayush Niroula
Institutions
- Nanjing Agricultural University (CN)
- Chinese Academy of Sciences (CN)
- Ambo University (ET)
- Institute of Soil Science (CN)
Publication Details
- Journal
- Agronomy
- Published
- 2025-09-27
- DOI
- https://doi.org/10.3390/agronomy15102288
- Primary Topic
- Rice Cultivation and Yield Improvement
- Type
- article
- Field-Weighted Citation Impact
- 0.00