Skip to content
DraconiticResearch
Search Sources API
197,761 studies31 sourcesUpdated 49 min ago
Peer-reviewedCC BY 4.0Frontiers in Plant Science

Integrating a soil temperature module into AquaCrop improves simulation of crop growth and yield under straw mulching

  1. 1College of Engineering, Shenyang Agricultural University

Abstract

Introduction: Straw mulching is a core practice in conservation agriculture, improving the soil hydrothermal environment, enhancing water-use efficiency, and increasing crop yield, and is widely regarded as an environmentally friendly and sustainable mulching technique. However, most existing crop models simplify or neglect mulch-induced regulation of soil temperature and water processes, thereby limiting their capacity for system-level assessment of crop growth and water dynamics under mulched conditions. This study aims to enhance the adaptability of AquaCrop to mulched environments and to evaluate the interactive effects of straw mulching on soil water–heat processes and crop growth.

Methods: Based on the AquaCrop framework, a soil temperature submodule (ST) incorporating key surface-cover environmental factors was developed to extend the model’s capability to simulate soil temperature dynamics. Early-season crop development was driven by cumulative thermal time in the topsoil rather than air-temperature growing degree days, yielding a coupled model, AquaCrop–ST. A maize conservation-agriculture field experiment was conducted in Northeast China using locally prevalent mulching practices, with four treatments: straw crushing mulch, straw strip mulch, whole-straw mulch, and a no-mulch control. The coupled model was evaluated against observations.

Results and discussion: Straw mulching significantly moderated topsoil temperature dynamics, lowering soil temperature by 1.77–4.46 °C during warm periods and reducing early-season thermal accumulation by 10–24%. The improved model reproduced topsoil temperature dynamics under mulching well, with R ² values of 0.92–0.95, RMSE values of 0.93–1.06 °C, and NSE values of 0.88–0.94, and also captured the seasonal patterns of deeper soil temperature. Compared with the original model, canopy development simulations were substantially improved, with RMSE decreasing from 33.49–33.73% to 3.13–8.13%. The improved model also successfully captured mulch-induced phenological delay and improved the simulation of soil water dynamics and evapotranspiration.

Related

  1. Plastic mulching consistently improves brinjal performance, but drip irrigation benefits are soil dependent: A two-location field study
    Md. Nayan, F. M. Jamil Uddin, Rounak Islam +5
    PLOS OnePeer-reviewedCC BY 4.0Full textGeneral biochemistryPlant biologyPLOSPMC
  2. Integrating causal knowledge with satellite and glider data: a novel framework for marine water quality simulation
    Mohammad Hossein Hashemi, Najmeh Mahjouri, Mohammad Reza Nikoo
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textOceanography & cryosphereCrossref
  3. Thinning and mulching reduce winter drought impacts on dryland forest soil moisture
    Temuulen Tsagaan Sankey, Julia Tatum, Logan Ozment +1
    Scientific ReportsPeer-reviewedCC BY 4.0Full textClimate scienceCrossref
  4. Drought severity determines the effectiveness of straw mulching in alleviating water stress during early maize growth
    Renjie Zhao, Zexin Qi, Lihua Zhang +8
    Frontiers in Plant SciencePeer-reviewedCC BY 4.0Full textHydrology & soilsCrossref
  5. Comprehensive effects of plastic film mulching and combined application of water and nitrogen on photosynthetic characteristics, yield formation, and water-nitrogen use efficiency of citrus
    Hongmei Gu, Ping Li, Mengyuan Deng +3
    Frontiers in Plant SciencePeer-reviewedCC BY 4.0Full textHydrology & soilsCrossrefPMCEurope PMC
BibTeX
@article{song2026integrating,
  title = {{Integrating a soil temperature module into AquaCrop improves simulation of crop growth and yield under straw mulching}},
  author = {Yage Song and Fangyuan Zhang and Ye Wang and Ren Zhang},
  journal = {Frontiers in Plant Science},
  year = {2026},
  month = oct,
  doi = {10.3389/fpls.2026.1968615},
  url = {https://www.frontiersin.org/articles/10.3389/fpls.2026.1968615/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Integrating a soil temperature module into AquaCrop improves simulation of crop growth and yield under straw mulching
AU  - Yage Song
AU  - Fangyuan Zhang
AU  - Ye Wang
AU  - Ren Zhang
PY  - 2026
DA  - 2026/10/28
JO  - Frontiers in Plant Science
DO  - 10.3389/fpls.2026.1968615
UR  - https://www.frontiersin.org/articles/10.3389/fpls.2026.1968615/full
AB  - Introduction: Straw mulching is a core practice in conservation agriculture, improving the soil hydrothermal environment, enhancing water-use efficiency, and increasing crop yield, and is widely regarded as an environmentally friendly and sustainable mulching technique. However, most existing crop models simplify or neglect mulch-induced regulation of soil temperature and water processes, thereby limiting their capacity for system-level assessment of crop growth and water dynamics under mulched conditions. This study aims to enhance the adaptability of AquaCrop to mulched environments and to evaluate the interactive effects of straw mulching on soil water–heat processes and crop growth.  Methods: Based on the AquaCrop framework, a soil temperature submodule (ST) incorporating key surface-cover environmental factors was developed to extend the model’s capability to simulate soil temperature dynamics. Early-season crop development was driven by cumulative thermal time in the topsoil rather than air-temperature growing degree days, yielding a coupled model, AquaCrop–ST. A maize conservation-agriculture field experiment was conducted in Northeast China using locally prevalent mulching practices, with four treatments: straw crushing mulch, straw strip mulch, whole-straw mulch, and a no-mulch control. The coupled model was evaluated against observations.  Results and discussion: Straw mulching significantly moderated topsoil temperature dynamics, lowering soil temperature by 1.77–4.46 °C during warm periods and reducing early-season thermal accumulation by 10–24%. The improved model reproduced topsoil temperature dynamics under mulching well, with R ² values of 0.92–0.95, RMSE values of 0.93–1.06 °C, and NSE values of 0.88–0.94, and also captured the seasonal patterns of deeper soil temperature. Compared with the original model, canopy development simulations were substantially improved, with RMSE decreasing from 33.49–33.73% to 3.13–8.13%. The improved model also successfully captured mulch-induced phenological delay and improved the simulation of soil water dynamics and evapotranspiration.
SN  - 1664-462X
ER  -