基于柑橘叶片功能性氮含量无损监测模型的调控施氮方法

    Adjusted nitrogen application using non-destructive monitoring model of citrus leaf functional nitrogen content

    • 摘要: 为实现柑橘氮素管理的定量化,该研究以5年生'春见'橘橙为试材,设置不同对照施氮处理N0、N1、N2、N3(施氮量为0、50、100、200 g/株)和调控施氮处理Nr1、Nr2、Nr3(分别根据N1、N2、N3进行调控),在试验开展的第1年利用高光谱技术,分别建立柑橘果实膨大期和转色期的叶片功能性氮含量无损监测模型;第2年利用叶片功能性氮含量无损监测模型与追氮量公式计算调控施氮处理的实际追氮量,比较分析对照施氮和调控施氮对柑橘果实产量、品质及氮肥利用率的影响。结果表明,利用反向传播神经网络构建的叶片功能性氮含量模型精度较高,R2为0.78(果实膨大期)和0.74(果实转色期)。调控施氮处理Nr1和Nr3比对照施氮N1和N3分别增产5.49和4.43 kg/株(增幅为48%和40%);相比于N1,调控施氮处理Nr1的单果质量和可溶性固形物含量显著增加,果实横纵径、果形指数增幅不显著。相比于N3,调控施氮处理Nr3的氮肥偏生产力升高了103%;Nr1和Nr3的氮肥农学效率分别提高了290%和364%。Nr2和N2的产量、品质和氮肥利用率无显著差异。基于柑橘叶片功能性氮含量无损监测模型的调控施氮方法,能在一定程度上减少施氮不足或过量对柑橘产量、品质的影响,提高氮肥偏生产力和农学效率。

       

      Abstract: The concentration and distribution of functional nitrogen (N) in citrus leaves can be significant indicators for the formation and transportation of fruit assimilation. A non-destructive monitoring model can be used for the functional nitrogen concentration in the leaves. The N application can also be adjusted to quantify the citrus nitrogen using hyperspectral technology. The five-year 'Chunjian' orange was taken as the experimental material in the Changshou District of Chongqing in China. The control treatments of nitrogen application with the different gradients were set: N0, N1, N2, and N3 (Nitrogen application qualities were 0, 50, 100, and 200 g/plant, respectively). The adjusted nitrogen treatments were named Nr1, Nr2, and Nr3, according to the non-destructive monitoring model for the functional nitrogen concentration in the citrus leaf. In the first year of the experiment, the leaves of the spring shoot (the second to fourth leaves from the top to the bottom) were collected at the fruit expansion and color-changed period, respectively. Sixteen leaves were randomly selected from each tree, according to the four directions of "south, east, north, west", where the spectral values were determined simultaneously. A non-destructive monitoring model was then established for the functional nitrogen concentration in the citrus fruit leaves at the fruit expansion and color-changed period by the hyperspectral technique. In the second year, the leaf functional nitrogen concentration (LFNC) model and topdressing formula were used to calculate the actual nitrogen application ratio. The fertilizer of the actual nitrogen application ratio was applied in the adjusted N application treatments at the fruit expansion and color-changed period. A comparison was made to clarify the effects of control and adjusted nitrogen application on the yield, fruit quality, and nitrogen use efficiency. The results show that the LFNC model performed the higher accuracy using the back propagation neural network, where the R2 were 0.78 (fruit expansion period) and 0.74 (fruit color-changed period). The Nr1 and Nr3 treatments increased the yield by 5.49, and 4.43 kg/ plant with the rate of increments of 48% and 40%, respectively, compared with the N1 and N3. Compared with the N1, the single fruit weight and soluble solid content of the citrus increased significantly by the adjusted N treatment Nr1. The single fruit weight of adjusted N treatment Nr1 increased by 54.05 g, where the soluble solid content increased by 0.77%, compared with the N1. However, there was no change in the transverse and longitudinal diameter of the citrus fruits and fruit shape index between the control and adjusted N treatments. The partial factor productivity of applied (PFP-N) of adjusted N application treatments with the Nr1 was 10% lower than that of the control with the N1. There was only a little change in the fruit shape index and soluble solids of Nr3. Specifically, the single fruit weight increased by 24.45 g, compared with the N3. The PFP-N increased by 123% in the Nr3, compared with the N3. The agronomic efficiency of the Nr2 and Nr3 increased by 290% and 364%, compared with the N1 and N3, respectively. There was no significant difference in the yield, quality, and nitrogen use efficiency between the Nr2 and N2. In conclusion, the adjusted nitrogen application using the non-destructive monitoring model of the citrus leaf functional nitrogen concentration can be expected to reduce the effects of insufficient or excessive nitrogen application on the citrus yield and quality, in order to improve the nitrogen partial productivity and agronomic efficiency. The finding can provide the theoretical basis and technical support to realize the non-destructive monitoring of functional nitrogen concentration in the citrus leaves and adjusted nitrogen application.

       

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