IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i15p6605-d1448317.html
   My bibliography  Save this article

Sustainable Corn Stubble Management Is Site Specific: A Study in Northeastern China

Author

Listed:
  • Gang Wang

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

  • Xiaomei Gao

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

  • Minggang Fu

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

  • Zihao Zhou

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

  • Kexin Song

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

  • Jie Li

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

Abstract

Sustainable agriculture has garnered increasing attention in recent times, with corn stalk retention constituting a pivotal component of sustainable agricultural practices. Presently, whole corn stalk retention (CCR), three-year rotation corn stalk retention (TYR), and standing corn stalk retention (SCR) are prevalent corn stalk management techniques in northeast China. However, the question of which corn stalk management technique is best suited to specific local climates within northeast China remained unanswered. Therefore, this manuscript investigates the impact of these corn stalk management practices on nitrogen (N), phosphorus (P), potassium (K), and soil organic amendments by analyzing long-term practical data. To gather data for analysis, three locations with varying latitudes were selected. The results indicate that local climate has a significant influence ( p < 0.05) on the decomposition process and level of retained corn stalks. In locations with sufficient annual accumulated temperature and precipitation, a larger amount of corn stalk retention is acceptable. For instance, CCR is deemed suitable for Liaoning Province in China. Conversely, in locations lacking sufficient annual accumulated temperature or precipitation, an excessive amount of corn stalk retention cannot decay completely within a given period. Consequently, farmlands cannot adsorb adequate soil nutrients or organic matter derived from decomposed corn stalks. Thus, TYR or SCR is more appropriate for Heilongjiang Province in China. The findings of this research can guide farmers in optimizing corn stalk management practices according to specific local climates.

Suggested Citation

  • Gang Wang & Xiaomei Gao & Minggang Fu & Zihao Zhou & Kexin Song & Jie Li, 2024. "Sustainable Corn Stubble Management Is Site Specific: A Study in Northeastern China," Sustainability, MDPI, vol. 16(15), pages 1-15, August.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6605-:d:1448317
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/15/6605/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/15/6605/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shen, Zhiyang & Wang, Songkai & Boussemart, Jean-Philippe & Hao, Yu, 2022. "Digital transition and green growth in Chinese agriculture," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mengjie Tian & Mingyong Hong & Ji Wang, 2023. "Land resources, market-oriented reform and high-quality agricultural development," Economic Change and Restructuring, Springer, vol. 56(6), pages 4165-4197, December.
    2. Wei Yu & Huiqin Huang & Xinyan Kong & Keying Zhu, 2023. "Can Digital Inclusive Finance Improve the Financial Performance of SMEs?," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    3. Zi Tang & Xiaopeng Si & Yan Liang, 2024. "Research on the measurement of high-quality development of tourism: a case study of Heilongjiang Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 25027-25047, October.
    4. Qiangyi Li & Xiaohui Zhang, 2024. "Effects of Agricultural Trade on Reducing Carbon Emissions under the “Dual Carbon” Target: Evidence from China," Agriculture, MDPI, vol. 14(8), pages 1-25, August.
    5. Kaiwen Ji & Qiaoyun Hou & Yi Yu & Dan Pan, 2023. "Rural E-Commerce and Agricultural Carbon Emission Reduction: A Quasi-Natural Experiment from China’s Rural E-Commerce Demonstration County Program Based on 355 Cities in Ten Years," Agriculture, MDPI, vol. 14(1), pages 1-16, December.
    6. Lingui Qin & Yan Zhang & Yige Wang & Xinning Pan & Zhe Xu, 2024. "Research on the Impact of Digital Green Finance on Agricultural Green Total Factor Productivity: Evidence from China," Agriculture, MDPI, vol. 14(7), pages 1-23, July.
    7. Sui, Jianli & Lv, Wenqiang & Xie, Huailing & Xu, Xiaodong, 2024. "Towards Low-Carbon Agricultural Production: Evidence from China's Main Grain-Producing Areas," Finance Research Letters, Elsevier, vol. 60(C).
    8. Xiyang Yin & Wanyi Li & Shuyu Tang & Yanjiao Li & Jianhua Zhao & Pengpeng Tian, 2025. "Pathways Through Which Digital Technology Use Facilitates Farmers’ Adoption of Green Agricultural Technologies: A Comprehensive Study Based on Grounded Theory and Empirical Testing," Sustainability, MDPI, vol. 17(20), pages 1-23, October.
    9. Sun, Li & Li, Xiangyu & Wang, Yiting, 2024. "Digital trade growth and mineral resources In developing countries: Implications for green recovery," Resources Policy, Elsevier, vol. 88(C).
    10. Shunyu Yao & Zitian Fu, 2025. "Can digital transformation promote the improvement of regional food security? Empirical findings from China," Agribusiness, John Wiley & Sons, Ltd., vol. 41(1), pages 184-216, January.
    11. Zhan Shuai & Wan Zhilan, 2025. "A study on benefit distribution of agricultural product quality governance under the perspective of digital supply chain," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 71(7), pages 357-377.
    12. Pang, Dezhi & Jin, Xin & Zheng, Kengcheng & Tien, Nguyen Hoang, 2024. "A road toward green growth: Optimizing the role of mineral resources, fintech innovation and effective governance in G-20 economies," Resources Policy, Elsevier, vol. 92(C).
    13. He Xu & Shuai Liu & Qinghai Guo, 2025. "From 'separation' to 'reconstruction': An analytical framework and empirical test for the adjustment of the relationship between agriculture and animal husbandry of farm households," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 71(3), pages 142-159.
    14. Luwen Cui & Weiwei Wang, 2023. "Factors Affecting the Adoption of Digital Technology by Farmers in China: A Systematic Literature Review," Sustainability, MDPI, vol. 15(20), pages 1-14, October.
    15. Lee, Chien-Chiang & Zeng, Mingli & Luo, Kang, 2023. "Food security and digital economy in China: A pathway towards sustainable development," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1106-1125.
    16. Rongrong Li & Qiang Wang & Ting Yang, 2025. "Digital economy and carbon efficiency: the roles of population aging and human capital," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-16, December.
    17. Ying Meng & Dong Li, 2025. "Digital Pathways to Sustainable Agriculture: Examining the Role of Agricultural Digitalization in Green Development in China," Sustainability, MDPI, vol. 17(8), pages 1-31, April.
    18. Luo, Yuke & Liu, Shiyuan & Zhang, Yang & Zeng, Miao & Zhao, Dandi, 2025. "Digital pathways to resilience: Assessing the impact of digitalization on agricultural production resilience in China," China Economic Review, Elsevier, vol. 90(C).
    19. Zhanhui Zhao & Congzhi Zhang & Qiang Yang & Songfeng Gao & Chunyang Lu & Jiabao Zhang, 2022. "Spatial-Temporal Variability of Soil Organic Carbon Density and Its Related Factors in Fengqiu County of Yellow River Basin, China: A Model and GIS Technique Approach," Agriculture, MDPI, vol. 12(8), pages 1-11, July.
    20. Yangyang Zheng & Jianhong Lou & Linfeng Mei & Yushuang Lin, 2023. "Research on Digital Credit Behavior of Farmers’ Cooperatives—A Grounded Theory Analysis Based on the “6C” Family Model," Agriculture, MDPI, vol. 13(8), pages 1-19, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6605-:d:1448317. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.