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首页> 外文会议>Conference on remote sensing for agriculture, ecosystems, and hydrology >Winter Wheat GPC Estimation with Fluorescence-based Sensor Measurements of Canopy
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Winter Wheat GPC Estimation with Fluorescence-based Sensor Measurements of Canopy

机译：基于基于冠层的荧光传感器测量的冬小麦GPC估计

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This study focused on the wheat grain protein content (GPC) estimation based on wheat canopy chlorophyll parameters which acquired by hand-held instrument, Multiplex 3. Nine fluorescence spectral indices from Multiplex sensor were used in this study. The wheat GPC estimation experiment was conducted in 2012 at the National Experiment Station for Precision Agriculture in Changping district, Beijing. A square with area of 1.1 ha was selected and divided to 110 small plots by 10×10m in this study. In each plot, four 1-m2 area distributed in the square were selected for canopy fluorescence spectral measurements, physiological and biochemical analyses. Measurements were performed five times at wheat raising, jointing, heading stage, milking and ripening stage, respectively. The wheat plant samples for each plot were then collected after the measurement and sent to Lab for leaf N concentration (LNC) and canopy nitrogen density (CND) analyzed. GPC sampling for each plot was collected manually during the harvested season. Then, statistical analysis were performed to detect the correlation between fluorescence spectral indices and wheat CND for each growth stage, as well as GPC. The results indicate that two Nitrogen Balance Indices, NBI_G and NBI_R were more sensitive to wheat GPC than other fluorescence spectral indices at milking stage and ripening stage. Five linear regression models with GPC and fluorescence indices at different winter wheat growth stages were then established. The R~2 of GPC estimated model increased form 0.312 at raising stage to 0.686 at ripening stage. The study reveals that canopy-level fluorescence spectral parameters were better indicators for the wheat group activity and could be demonstrated to be good indicators for winter wheat GPC estimation.
机译：本研究着重于通过手持仪器Multiplex 3获取的基于小麦冠层叶绿素参数的小麦籽粒蛋白质含量（GPC）估算，本研究使用了来自Multiplex传感器的九种荧光光谱指数。小麦GPC估算实验于2012年在北京昌平区国家精准农业实验站进行。在本研究中，选择一个面积为1.1公顷的正方形并将其划分为110个小样地，尺寸为10×10m。在每个图中，选择四个分布在正方形中的1-m2区域用于冠层荧光光谱测量，生理和生化分析。在小麦生长，拔节，抽穗阶段，挤奶和成熟阶段分别进行了五次测量。然后，在测量后收集每个样区的小麦植物样品，并送至实验室进行叶氮浓度（LNC）和冠层氮密度（CND）的分析。每个地块的GPC采样是在收获季节手动收集的。然后，进行统计分析以检测每个生长阶段以及GPC的荧光光谱指数与小麦CND之间的相关性。结果表明，在挤奶阶段和成熟阶段，两个氮平衡指数NBI_G和NBI_R比其他荧光光谱指数对小麦GPC更敏感。然后建立了在不同冬小麦生长阶段具有GPC和荧光指数的五个线性回归模型。 GPC估计模型的R〜2在上升阶段从0.312增加到成熟阶段的0.686。研究表明，冠层水平的荧光光谱参数是衡量小麦群体活动的较好指标，并且可以证明是估算冬小麦GPC的良好指标。

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