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

被引:0
作者
Xiao Song
Duanyang Xu
Keke Zhang
Shaomin Huang
Tengfei Guo
Chenchen Huang
Doudou Guo
Ke Yue
Shuiqing Zhang
Zhibiao Zhang
机构
[1] Henan Academy of Agricultural Science,Institute of Plant Nutrient and Environmental Resources
[2] Institute of Geographic Sciences and Natural Resources Research,Key Laboratory of Land Surface Pattern and Simulation
[3] CAS,undefined
[4] Soil and Fertilizer Workstation of Xiayi County,undefined
来源
Journal of Soil Science and Plant Nutrition | 2022年 / 22卷
关键词
Wheat; Nitrogen conditions; Critical nitrogen concentration; Nitrogen nutrition index; Nitrogen diagnosis;
D O I
暂无
中图分类号
学科分类号
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 (Nc) equation. The relationship between Nc and aboveground dry matter (DM) was respectively described by a power function for 2018 and 2019 (Nc = 5.25DM −0.47, R2 = 0.931; and Nc = 5.30 DM −0.47, R2 = 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 Nc dilution curve was the same under the same aboveground biomass. Based on the Nc 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 Nc 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 Nc 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.
引用
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页码:4972 / 4982
页数:10
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