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Winter Wheat GPC Estimation with Fluorescence-based Sensor Measurements of Canopy

机译:冬季小麦GPC估计随着荧光的传感器测量冠层

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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:本研究专注于基于由手持仪器获得的小麦冠覆叶绿素参数的小麦籽粒蛋白质含量(GPC)估计,在本研究中使用了来自多路复用传感器的九个荧光光谱索引。小麦GPC估计实验是在2012年在北京昌平区精密农业的国家实验站进行的2012年进行。选择一个面积1.1公顷的正方形,在本研究中划分为110个小绘图10×10m。在每个曲线中,选择分布在正方形中的四个1-M2区域用于冠层荧光光谱测量,生理学和生物化学分析。在小麦升高,接头,标题阶段,挤奶和成熟阶段分别进行测量五次。然后在测量后收集每种曲线的小麦植物样品,并送到Lab N浓度(LNC)和冠层氮密度(CND)的实验室。在收获的季节手动收集每个图的GPC采样。然后,进行统计分析以检测每个生长阶段以及GPC的荧光光谱索引和小麦CND之间的相关性。结果表明,两种氮平衡指数,Nbi_g和Nbi_R比挤奶阶段和成熟阶段的其他荧光光谱索引更敏感。然后建立了不同冬小麦生长阶段的GPC和荧光指标的五种线性回归模型。 GPC估计模型的R〜2在成熟阶段在升高至0.686时增加了0.312。该研究表明,种子级荧光光谱参数是小麦基团活性的更好指标,可以证明是冬小麦GPC估计的良好指标。

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