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

Author

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  • 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
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    References listed on IDEAS

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    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.
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