IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i3p612-d1085868.html
   My bibliography  Save this article

Predicting the Nitrogen Quota Application Rate in a Double Rice Cropping System Based on Rice–Soil Nitrogen Balance and 15 N Labelling Analysis

Author

Listed:
  • Xiaochuang Cao

    (State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China
    These authors contributed equally to this work.)

  • Birong Qin

    (State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China
    These authors contributed equally to this work.)

  • Qingxu Ma

    (Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Lianfeng Zhu

    (State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China)

  • Chunquan Zhu

    (State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China)

  • Yali Kong

    (State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China)

  • Wenhao Tian

    (State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China)

  • Qianyu Jin

    (State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China)

  • Junhua Zhang

    (State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China)

  • Yijun Yu

    (Zhejiang Cultivated Land Quality and Fertilizer Administration Station, Hangzhou 310020, China)

Abstract

Excessive nitrogen (N) fertilization, low use efficiency, and heavy pollution are the dominant issues that exist in intensively cultivated double rice cropping systems in China. Two-year field and 15 N microregion experiments were conducted to evaluate the N fate in a soil-rice system under a series of different N rate treatments from 2020 to 2021. The economic N application rate that simultaneously improved rice yield and N use efficiency in the rotation system was also investigated. Results demonstrated that soil residues and mineralized N accounted for more than 58.0% and 53.2% of the total N input in the early and late rice seasons, respectively. Similarly, most of the total N input was absorbed by rice, ranging from 43.7% to 55.6% in early rice and from 36.8% to 54.7% in late rice. Rice N use efficiency significantly decreased with increasing N application, while rice grain yield and its N uptake increased when the N application rate was below 150 kg ha −1 in early rice and 200 kg ha −1 in late rice. Exceeding this point limited rice N uptake and yield formation. The apparent N recovery rate, N residual rate, and N loss rate were 23.5–34.4%, 17.0–47.1%, and 26.0–47.8% for the early rice, and 32.8–37.3%, 74.2–87.0%, and 71.5–92.1% for the late rice. The linear plateau analysis further indicated that the recommended N application rate (118.5–152.8 kg ha −1 for early rice and 169.9–186.2 kg ha −1 for late rice) can not only maintain a relatively higher rice yield and N utilization but also significantly reduce soil N residue. Our results provide theoretical guidance for improving N management in double-cropping rice fields in southern China.

Suggested Citation

  • Xiaochuang Cao & Birong Qin & Qingxu Ma & Lianfeng Zhu & Chunquan Zhu & Yali Kong & Wenhao Tian & Qianyu Jin & Junhua Zhang & Yijun Yu, 2023. "Predicting the Nitrogen Quota Application Rate in a Double Rice Cropping System Based on Rice–Soil Nitrogen Balance and 15 N Labelling Analysis," Agriculture, MDPI, vol. 13(3), pages 1-17, March.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:3:p:612-:d:1085868
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/3/612/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/3/612/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pan, Junfeng & Liu, Yanzhuo & Zhong, Xuhua & Lampayan, Rubenito M. & Singleton, Grant R. & Huang, Nongrong & Liang, Kaiming & Peng, Bilin & Tian, Ka, 2017. "Grain yield, water productivity and nitrogen use efficiency of rice under different water management and fertilizer-N inputs in South China," Agricultural Water Management, Elsevier, vol. 184(C), pages 191-200.
    2. Nathaniel D. Mueller & James S. Gerber & Matt Johnston & Deepak K. Ray & Navin Ramankutty & Jonathan A. Foley, 2012. "Closing yield gaps through nutrient and water management," Nature, Nature, vol. 490(7419), pages 254-257, October.
    3. Xinping Chen & Zhenling Cui & Mingsheng Fan & Peter Vitousek & Ming Zhao & Wenqi Ma & Zhenlin Wang & Weijian Zhang & Xiaoyuan Yan & Jianchang Yang & Xiping Deng & Qiang Gao & Qiang Zhang & Shiwei Guo , 2014. "Producing more grain with lower environmental costs," Nature, Nature, vol. 514(7523), pages 486-489, October.
    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. Zhang, Bangbang & Li, Xian & Chen, Haibin & Niu, Wenhao & Kong, Xiangbin & Yu, Qiang & Zhao, Minjuan & Xia, Xianli, 2022. "Identifying opportunities to close yield gaps in China by use of certificated cultivars to estimate potential productivity," Land Use Policy, Elsevier, vol. 117(C).
    2. Liu, Jianliang & Huang, Xinya & Jiang, Haibo & Chen, Huai, 2021. "Sustaining yield and mitigating methane emissions from rice production with plastic film mulching technique," Agricultural Water Management, Elsevier, vol. 245(C).
    3. Shilei Cui & Yajuan Li & Xiaoqiang Jiao & Dong Zhang, 2022. "Hierarchical Linkage between the Basic Characteristics of Smallholders and Technology Awareness Determines Small-Holders’ Willingness to Adopt Green Production Technology," Agriculture, MDPI, vol. 12(8), pages 1-17, August.
    4. Qiu, Weihong & Ma, Xiaolong & Cao, Hanbing & Huang, Tingmiao & She, Xu & Huang, Ming & Wang, Zhaohui & Liu, Jinshan, 2022. "Improving wheat yield by optimizing seeding and fertilizer rates based on precipitation in the summer fallow season in drylands of the Loess Plateau," Agricultural Water Management, Elsevier, vol. 264(C).
    5. Yimin Hu & Shuqi Yang & Xin Qian & Zongxin Li & Yuchuan Fan & Kiril Manevski & Yuanquan Chen & Wangsheng Gao, 2023. "Bibliometric Network Analysis of Crop Yield Gap Research over the Past Three Decades," Agriculture, MDPI, vol. 13(11), pages 1-16, November.
    6. Cheng, Qingyue & Li, Liangyu & Liao, Qin & Fu, Hao & Nie, Jiangxia & Luo, Yongheng & Wang, Zhonglin & Yin, Huilai & Shu, Chuanhai & Chen, Zongkui & Sun, Yongjian & Ma, Jun & Li, Na & Yang, Zhiyuan, 2023. "Is scale production more advantageous than smallholders for Chinese rice production?," Energy, Elsevier, vol. 283(C).
    7. Wang, Hongzhang & Ren, Hao & Zhang, Lihua & Zhao, Yali & Liu, Yuee & He, Qijin & Li, Geng & Han, Kun & Zhang, Jiwang & Zhao, Bin & Ren, Baizhao & Liu, Peng, 2023. "A sustainable approach to narrowing the summer maize yield gap experienced by smallholders in the North China Plain," Agricultural Systems, Elsevier, vol. 204(C).
    8. Li, Wenchao & Guo, Shufang & Liu, Hongbin & Zhai, Limei & Wang, Hongyuan & Lei, Qiuliang, 2018. "Comprehensive environmental impacts of fertilizer application vary among different crops: Implications for the adjustment of agricultural structure aimed to reduce fertilizer use," Agricultural Water Management, Elsevier, vol. 210(C), pages 1-10.
    9. Cao, Juan & Zhang, Zhao & Tao, Fulu & Chen, Yi & Luo, Xiangzhong & Xie, Jun, 2023. "Forecasting global crop yields based on El Nino Southern Oscillation early signals," Agricultural Systems, Elsevier, vol. 205(C).
    10. Westhoek, Henk & Ingram, John & van Berkum, Siemen & Hajer, Maarten, 2015. "The European food system and natural resources: Impacts and Options," 148th Seminar, November 30-December 1, 2015, The Hague, The Netherlands 229279, European Association of Agricultural Economists.
    11. Giacomo Falchetta & Nicolò Stevanato & Magda Moner-Girona & Davide Mazzoni & Emanuela Colombo & Manfred Hafner, 2020. "M-LED: Multi-sectoral Latent Electricity Demand Assessment for Energy Access Planning," Working Papers 2020.09, Fondazione Eni Enrico Mattei.
    12. Tang, Jiankai & Yang, Qiliang & Liang, Jiaping & Wang, Haidong & Yue, Xiulu, 2024. "Water management, planting slope indicators, and economic benefit analysis for Panax notoginseng production decision under shaded and rain-shelter cultivation: A three-year sloping fields experiment," Agricultural Water Management, Elsevier, vol. 291(C).
    13. Fu, Yuanhong & Ding, Guijie & Quan, Wenxuan & Zhao, Xizhou & Tao, Qinghong, 2024. "Coupling optimization of water-fertilizer for coordinated development of the environment and growth of Pinus massoniana seedlings," Agricultural Water Management, Elsevier, vol. 300(C).
    14. Kathrin Stenchly & Marc Victor Hansen & Katharina Stein & Andreas Buerkert & Wilhelm Loewenstein, 2018. "Income Vulnerability of West African Farming Households to Losses in Pollination Services: A Case Study from Ouagadougou, Burkina Faso," Sustainability, MDPI, vol. 10(11), pages 1-12, November.
    15. Taotao Yang & Jixiang Zou & Longmei Wu & Xiaozhe Bao & Yu Jiang & Nan Zhang & Bin Zhang, 2024. "Experimental Warming Reduces the Grain Yield and Nitrogen Utilization Efficiency of Double-Cropping indica Rice in South China," Agriculture, MDPI, vol. 14(6), pages 1-12, June.
    16. Qu, Zhaoming & Chen, Qi & Feng, Haojie & Hao, Miao & Niu, Guoliang & Liu, Yanli & Li, Chengliang, 2022. "Interactive effect of irrigation and blend ratio of controlled release potassium chloride and potassium chloride on greenhouse tomato production in the Yellow River Basin of China," Agricultural Water Management, Elsevier, vol. 261(C).
    17. Zhao, Zhanqing & Qin, Wei & Bai, Zhaohai & Ma, Lin, 2019. "Agricultural nitrogen and phosphorus emissions to water and their mitigation options in the Haihe Basin, China," Agricultural Water Management, Elsevier, vol. 212(C), pages 262-272.
    18. Singh, Kuntal & McClean, Colin J. & Büker, Patrick & Hartley, Sue E. & Hill, Jane K., 2017. "Mapping regional risks from climate change for rainfed rice cultivation in India," Agricultural Systems, Elsevier, vol. 156(C), pages 76-84.
    19. Thomas M. Koutsos & Georgios C. Menexes & Andreas P. Mamolos, 2021. "The Use of Crop Yield Autocorrelation Data as a Sustainable Approach to Adjust Agronomic Inputs," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    20. Lu, Jie & Bai, Zhaohai & Velthof, Gerard L. & Wu, Zhiguo & Chadwick, David & Ma, Lin, 2019. "Accumulation and leaching of nitrate in soils in wheat-maize production in China," Agricultural Water Management, Elsevier, vol. 212(C), pages 407-415.

    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:jagris:v:13:y:2023:i:3:p:612-:d:1085868. 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.