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基于南疆滴灌棉临界氮浓度的氮素营养诊断与籽棉产量估算

Nitrogen nutrition diagnosis and estimation of seed cotton yield based on critical nitrogen concentration for drip irrigation cotton in Southern Xinjiang, China.

机构信息

Cotton Institute, Xinjiang Academy of Agricultural and Reclamation Sciences/Northwest Inland Region Key Laboratory of Cotton Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Shihezi 832000, Xinjiang, China.

Analysis and Test Center, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, Xinjiang, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2023 Mar;34(3):688-698. doi: 10.13287/j.1001-9332.202303.010.

Abstract

The stability and adaptability of the critical nitrogen concentration in drip-irrigated cotton fields in Southern Xinjiang were investigated by measuring the nitrogen uptake (), nitrogen nutrition index (NNI), and accumulated nitrogen deficit (). A two-year field study was conducted using five nitrogen levels (0, 75, 150, 300, and 450 kg·hm), with cotton cultivars 'Xinluzhong55' and 'Xinluzhong78' as the test materials. We analyzed the effects of nitrogen addition on plant dry matter (PDM) and critical nitrogen concentration dilution curves (PNC). The , NNI, and models as well as a model of the relationships between NNI, and the relative seed cotton yield (RY) were established based on the PNC for both cultivars. The results showed that the PNC, maximum nitrogen concentration (PNC), and minimum nitrogen concentration (PNC) dilution models in drip-irrigated cotton showed power function relationships with plant dry matter (PDM), with determination coefficients () of 0.905 and 0.960, 0.919 and 0.950, 0.934 and 0.969 for Xinluzhong55 and Xinluzhong78, respectively. Model validation with independent experimental data showed that the critical nitrogen concentrations in cotton grown under drip-irrigated conditions were simulated satisfactorily. The Xinluzhong55 and Xinluzhong78 1:1 line , root mean square error (RMSE) and relative estimation error (RE) of the simulated and observed critical nitrogen concentrations were 0.987, 0.051 g·kg, 1.95% and 0.984, 0.044 g·kg, 1.91%, respectively, showing good stability and adaptability between the two years. According to the , NNI, and model, we concluded that 300 kg·hm was the optimum level of nitrogen application in drip-irrigated cotton in Southern Xinjiang. Based on the fitting results of nitrogen level and seed cotton yield, the theoretical appropriate nitrogen applications for Xinluzhong55 and Xinluzhong78 were 322.7 and 336.4 kg·hm, respectively. The of NNI, and RY in different growth stages were greater than 0.900, the NNI, and RY estimation model of seed cotton yield based on 1:1 lines of , RMSE, and RE were 0.899-0.989, 0.05-0.13, and 4.1%-9.9% and 0.902-0.981, 0.04-0.12, and 5.1%-9.5%, all of which were highly significant. These results could provide new directions for the evaluation and diagnosis of optimum nitrogen application levels and nitrogen status, as well as the estimation of seed cotton yield in drip-irrigated cotton in Southern Xinjiang.

摘要

本研究通过测定氮吸收量()、氮营养指数(NNI)和累积氮亏缺(),研究了南疆滴灌棉田关键氮浓度的稳定性和适应性。采用 5 个氮水平(0、75、150、300 和 450 kg·hm),以棉花品种‘新陆中 55’和‘新陆中 78’为试验材料,进行了为期两年的田间试验。我们分析了氮添加对植株干物质(PDM)和关键氮浓度稀释曲线(PNC)的影响。基于两个品种的 PNC,建立了、NNI 和 模型以及 NNI、和相对皮棉产量(RY)之间关系的模型。结果表明,滴灌棉花的 PNC、最大氮浓度(PNC)和最小氮浓度(PNC)稀释模型与植株干物质(PDM)呈幂函数关系,相关系数()分别为 0.905 和 0.960、0.919 和 0.950、0.934 和 0.969,分别用于新陆中 55 和新陆中 78。用独立实验数据验证模型表明,滴灌条件下棉花的关键氮浓度得到了较好的模拟。新陆中 55 和新陆中 78 的 1:1 线、模拟和观测的关键氮浓度的根均方误差(RMSE)和相对估计误差(RE)分别为 0.987、0.051 g·kg、1.95%和 0.984、0.044 g·kg、1.91%,表现出较好的稳定性和两年间的适应性。根据、NNI 和 模型,我们得出结论,300 kg·hm 是南疆滴灌棉花的最佳施氮水平。根据氮水平和皮棉产量的拟合结果,新陆中 55 和新陆中 78 的理论适宜施氮量分别为 322.7 和 336.4 kg·hm。不同生育期 NNI、和 RY 的 均大于 0.900,基于 1:1 线的 NNI、和 RY 的皮棉产量估计模型的 分别为 0.899-0.989、0.05-0.13 和 4.1%-9.9%和 0.902-0.981、0.04-0.12 和 5.1%-9.5%,均高度显著。这些结果可为南疆滴灌棉最佳施氮水平和氮素状况的评价和诊断以及皮棉产量的估计提供新的方向。

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