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

文献类型： 外文期刊

第一作者： Song Xiaoyu

作者： Song Xiaoyu;Gu Xiaohe;Xu Xingang;Song Xiaoyu;Wang Jihua;Gu Xiaohe;Xu Xingang;Wang Jihua

作者机构：

关键词： Winter wheat;leaf nitrogen content (LNC);canopy nitrogen density (CND);grain protein content (GPC);Fluorescence Spectral parameters;multiplex 3

期刊名称：REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XVII

ISSN： 0277-786X

年卷期： 2015 年 9637 卷

页码：

收录情况： SCI

摘要： 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 10x10m 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.

分类号：

  • 相关文献

[1]Winter Wheat GPC Estimation Based on Leaf and Canopy Chlorophyll Parameters. Song Xiao-yu,Yang Gui-jun,Chang Hong,Song Xiao-yu,Wang Ji-hua,Yang Gui-jun,Chang Hong,Wang Ji-hua,Cui Bei. 2014

[2]Spatial Variability Analysis of Within-Field Winter Wheat Nitrogen and Grain Quality Using Canopy Fluorescence Sensor Measurements. Song, Xiaoyu,Yang, Guijun,Song, Xiaoyu,Yang, Guijun,Song, Xiaoyu,Yang, Chenghai,Wang, Jihua,Cui, Bei. 2017

[3]WINTER WHEAT CROPLAND GRAIN PROTEIN CONTENT EVALUATION THROUGH REMOTE SENSING. Song, Xiaoyu,Yang, Guijun,Feng, Haikuan,Wang, Jihua. 2014

[4]Morphological and yield responses of winter wheat (Triticum aestivum L.) to raised bed planting in Northern China. Wang, Fahong,Kong, Ling'an,Li, Shengdong,Si, Jisheng,Feng, Bo,Zhang, Bin,Wang, Fahong,Sayre, Ken. 2011

[5]Estimating Winter Wheat Leaf Area Index From Ground and Hyperspectral Observations Using Vegetation Indices. Xie, Qiaoyun,Huang, Wenjiang,Zhang, Bing,Dong, Yingying,Xie, Qiaoyun,Chen, Pengfei,Song, Xiaoyu,Pascucci, Simone,Pignatti, Stefano,Laneve, Giovanni. 2016

[6]Winter wheat biomass estimation based on canopy spectra. Zheng Ling,Zhu Dazhou,Zhang Baohua,Wang Cheng,Zhao Chunjiang,Zheng Ling,Liang Dong. 2015

[7]MONITORING WINTER WHEAT MATURITY BY HYPERSPECTRAL VEGETATION INDICES. Wang, Qian,Huang, Yuanfang,Wang, Qian,Li, Cunjun,Wang, Jihua,Song, Xiaoyu,Huang, Wenjiang. 2012

[8]Yield loss compensation effect and water use efficiency of winter wheat under double-blank row mulching and limited irrigation in northern China. Yan, Qiuyan,Yang, Feng,Dong, Fei,Lu, Jinxiu,Li, Feng,Zhang, Jiancheng,Yan, Qiuyan,Duan, Zengqiang,Lou, Ge. 2018

[9]Discrimination of yellow rust and powdery mildew in wheat at leaf level using spectral signatures. Yuan, Lin,Zhang, Jingcheng,Zhao, Jinling,Du, Shizhou,Huang, Wenjiang,Wang, Jihua. 2012

[10]SELECTION OF SPECTRAL CHANNELS FOR SATELLITE SENSORS IN MONITORING YELLOW RUST DISEASE OF WINTER WHEAT. Yuan, Lin,Wang, Jihua,Yuan, Lin,Zhang, Jingcheng,Nie, Chenwei,Wei, Liguang,Yang, Guijun,Wang, Jihua,Yuan, Lin,Zhang, Jingcheng,Nie, Chenwei,Wei, Liguang,Yang, Guijun,Wang, Jihua. 2013

[11]Effect of brackish water irrigation and straw mulching on soil salinity and crop yields under monsoonal climatic conditions. Pang, Huan-Cheng,Li, Yu-Yi,Liang, Ye-Sen,Yang, Jin-Song. 2010

[12]Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image. Yuan, Lin,Zhang, Jingcheng,Nie, Chenwei,Wei, Liguang,Wang, Jihua,Zhang, Jingcheng,Wang, Jihua,Zhang, Jingcheng,Wang, Jihua,Yuan, Lin,Zhang, Jingcheng,Wang, Jihua,Shi, Yeyin. 2014

[13]Optimization of sampling basic unit size on spatial sampling for estimating winter wheat sown acreage. Wang Di,Zhou Qingbo,Chen Zhongxin,Liu Jia. 2012

[14]Evaluating Multispectral and Hyperspectral Satellite Remote Sensing Data for Estimating Winter Wheat Growth Parameters at Regional Scale in the North China Plain. Koppe, Wolfgang,Gnyp, Martin L.,Bareth, Georg,Koppe, Wolfgang,Chen, Xinping,Zhang, Fusuo,Li, Fei,Miao, Yuxin,Miao, Yuxin. 2010

[15]Monitoring and Forecasting Winter Wheat Freeze Injury and Yield from Multi-Temporal Remotely Sensed Data. Wang, Huifang,Huo, Zhiguo,Zhou, Guangsheng,Wu, Li,Wang, Huifang,Feng, Haikuan. 2016

[16]Hyperspectral Estimation of Leaf Water Content for Winter Wheat Based on Grey Relational Analysis(GRA). Jin Xiu-liang,Wang Yan,Tan Chang-wei,Zhu Xin-kai,Guo Wen-shan,Xu Xin-gang,Wang Ji-hua,Li Xin-chuan. 2012

[17]Using new hyperspectral index to estimate leaf chlorophyll content in winter wheat. Xu, Xingang,Song, Xiaoyu,Li, Cunjun,Wang, Jihua. 2012

[18]Estimation of Winter Wheat Biomass Using Visible Spectral and BP Based Artificial Neural Networks. Cui Ri-xian,Liu Ya-dong,Fu Jin-dong. 2015

[19]Remote-Sensing Based Winter Wheat Growth Dynamic Changes and the Spatial-Temporal Relationship with Meteorological Factor. Huang Qing,Zhou Qingbo,Wu Wenbin,Li Dandan. 2014

[20]Evaluation of CropSyst model embedded in BioMa platform in simulating the yield of winter wheat in North China. Huang Qing,Liu Hang,Wu Wenbin,Chen Zhongxin. 2016

作者其他论文 更多>>

微信小程序