Chang Liying, Xiong Xin, Hameed Muhammad Khalid, Huang Danfeng, Niu Qingliang
School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Front Plant Sci. 2023 Feb 15;14:1111216. doi: 10.3389/fpls.2023.1111216. eCollection 2023.
In precision agriculture, the diagnosis of the nitrogen (N) nutrition status based on the plant phenotype, combined effects of soil types, various agricultural practices, and environmental factors which are essential for plant N accumulation. It helps to assess the N supply for plants at the right time and optimal amount to ensure high N use efficiency thereby reducing the N fertilizer applications to minimize environmental pollution. For this purpose, three different experiments were performed.
A critical N content (Nc) model was constructed based on cumulative photothermal effect (LTF), Napplications, and cultivation systems on yield and N uptake in pakchoi.
According to the model, aboveground dry biomass (DW) accumulation was found equal or below to 1.5 t/ha, and the Nc value was observed at a constant of 4.78%. However, when DW accumulation exceeded 1.5 t/ha, Nc declined with the increase in DW accumulation, and the relationship between Nc and DW accumulation developed with the function Nc %=4.78 x DW-0.33. An N demand model was established based on the multi-information fusion method, which integrated multiple factors, including Nc, phenotypical indexes, temperature during the growth period, photosynthetically active radiation, and N applications. Furthermore, the model's accuracy was verified, and the predicted N contents were found consistent with the measured values (R2 = 0.948 and RMSE = 1.96 mg/plant). At the same time, an N demand model based on N use efficiency was proposed.
This study can provide theoretical and technical support for precise N management in pakchoi production.
在精准农业中,基于植物表型诊断氮(N)营养状况,同时考虑土壤类型、各种农业实践以及对植物氮素积累至关重要的环境因素的综合影响。这有助于在合适的时间以最佳用量评估植物的氮供应,以确保高氮利用效率,从而减少氮肥施用以最大限度地减少环境污染。为此,进行了三项不同的实验。
基于累积光热效应(LTF)、施氮量和栽培系统对小白菜产量和氮吸收的影响,构建了临界氮含量(Nc)模型。
根据该模型,地上部干生物量(DW)积累量等于或低于1.5吨/公顷时,Nc值恒定为4.78%。然而,当DW积累量超过1.5吨/公顷时,Nc随DW积累量的增加而下降,且Nc与DW积累量之间的关系符合函数Nc %=4.78×DW - 0.33。基于多信息融合方法建立了氮需求模型,该模型整合了多个因素,包括Nc、表型指标、生育期温度、光合有效辐射和施氮量。此外,对该模型的准确性进行了验证,发现预测的氮含量与实测值一致(R2 = 0.948,RMSE = 1.96毫克/株)。同时,提出了基于氮利用效率的氮需求模型。
本研究可为小白菜生产中的精准氮管理提供理论和技术支持。