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Developing a Critical Nitrogen Concentration Dilution Model and Diagnosing Nitrogen Nutrition of Wheat

文献类型： 外文期刊

作者： Song, Xiao 1 ; Xu, Duanyang 2 ; Zhang, Keke 1 ; Huang, Shaomin 1 ; Guo, Tengfei 1 ; Huang, Chenchen 1 ; Guo, Doudou 1 ; Yue, Ke 1 ; Zhang, Shuiqing 1 ; Zhang, Zhibiao 3 ;

作者机构： 1.Henan Acad Agr Sci, Inst Plant Nutrient & Environm Resources, Zhengzhou 450002, Henan, Peoples R China

2.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China

3.Soil & Fertilizer Workstn Xiayi Cty, Shangqiu 476100, Henan, Peoples R China

关键词： Wheat; Nitrogen conditions; Critical nitrogen concentration; Nitrogen nutrition index; Nitrogen diagnosis

期刊名称：JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION （ 影响因子：3.61； 五年影响因子：3.581 ）

ISSN： 0718-9508

年卷期：

页码：

收录情况： SCI

摘要： The objective of this study was to verify the applicability of the critical nitrogen concentration dilution curve of wheat under different nitrogen application rates in the field and discuss the feasibility of using the nitrogen nutrition index (NNI) to optimize nitrogen fertilizer application. Experiments with different wheat varieties were carried out in Xinxiang (Henan Province, China) for two consecutive years, using four nitrogen application rates: 0, 165, 247.5, and 288.75 kg ha(-1). Values of aboveground dry matter (t ha(-1)) and nitrogen concentration (%) were measured at each sampling date to develop the critical nitrogen concentration (N-c) equation. The relationship between N-c and aboveground dry matter (DM) was respectively described by a power function for 2018 and 2019 (N-c = 5.25DM (-0.47), R-2 = 0.931; and N-c = 5.30 DM (-0.47), R-2 = 0.924). Differences in dilution model parameters between years indicated that the nitrogen accumulation capacity in 2019 was slightly higher than that in 2018 and the slope of the N-c dilution curve was the same under the same aboveground biomass. Based on the N-c dilution model, the NNI model was established, which can be used to objectively and quantitatively diagnose nitrogen status. The results of nitrogen fertilizer regulation based on N-c and NNI were consistent with results of the nitrogen application rate based on yield indicators. The best nitrogen level was the 247.5 kg ha(-1). Since N-c has reasonable biological significance, the model was accurate, simple, and with clear biological significance. It can be directly used in assessing nitrogen demand of crops and also in complex models of crop nitrogen dynamics. This will provide new ideas for timely and accurate fertilization.

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