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Exploring management strategies to improve yield and mitigate nitrate leaching in a typical radish field in northern China

文献类型： 外文期刊

作者： Zhang, Jiajia 1 ; He, Wentian 1 ; Smith, Ward N. 3 ; Grant, Brian B. 3 ; Ding, Wencheng 2 ; Jiang, Rong 2 ; Zou, Guoyu 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Plant Nutr & Resources, Beijing 100097, Peoples R China

2.Chinese Acad Agr Sci CAAS, Minist Agr & Rural Affairs, Key Lab Plant Nutr & Fertilizer, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China

3.Agr & Agri Food Canada, Ottawa Res & Dev Ctr, 960 Carling Ave, Ottawa, ON K1A 0C6, Canada

关键词： DNDC model; Radish yield; Nitrate leaching; Drainage; Sensitivity analysis; Optimized management practice

期刊名称：JOURNAL OF ENVIRONMENTAL MANAGEMENT （ 影响因子：6.789； 五年影响因子：6.914 ）

ISSN： 0301-4797

年卷期： 2021 年 290 卷

页码：

收录情况： SCI

摘要： It is currently uncertain whether process-based models are capable of assessing crop yield and nitrogen (N) losses while helping to investigate best management practices from vegetable cropping systems. The objectives of this study were to (1) calibrate and evaluate the Denitrification-Decomposition (DNDC) model in simulating crop growth and nitrate leaching in a typical field radish system; (2) optimize management practices to improve radish yield and mitigate nitrate leaching under 20-year climate variability. A five-season in-situ field experiment of spring and autumn radish in northern China was established in the autumn of 2017 and measurements of radish yield, N uptake, soil temperature, soil moisture, drainage, and nitrate leaching were obtained under different N usage. DNDC overall demonstrated "good" to "excellent" performance in simulating radish yield, total biomass, N uptake, and soil temperature across all treatments (6.4% < normalized root mean square error (nRMSE) < 15.5%; 0.12 < Nash-Sutcliffe efficiency (NSE) < 0.88; 0.80 < index of agreement (d) < 0.97). DNDC generally exhibited "fair" performance in estimating soil moisture and drainage (10.9% < nRMSE < 27.2%; -0.18 < NSE < 0.37; 0.69 < d < 0.82) and "good" performance when predicting nitrate leaching (12.4% < nRMSE < 26.7%; -0.59 < NSE < 0.51; 0.68 < d < 0.90). Sensitivity analyses demonstrated that optimized management practices (planting dates, irrigation amount, fertilization rate and timing) could substantially reduce N usage by 40%-50%, irrigation amount by 33%-50%, and nitrate leaching by 86%-95% compared to farmers' practice in radish planting system. This study indicated that a modelling method is helpful for evaluating the biogeochemical effects of management alternatives and identifying optimal management practices in radish production systems of China.

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