基于荧光参数的棉花盛铃期水分状况高光谱监测

doi:10.6048/j.issn.1001-4330.2018.07.001

摘要/Abstract

摘要： 【目的】研究棉花盛铃期反射光谱、荧光参数Fv/Fm(PSⅡ最大光化学量子产量)的变化特征,确立叶绿素荧光参数与棉花冠层高光谱植被指数的相关关系。为高光谱遥感监测棉花的水分状况提供理论依据。【方法】选用棉花品种新陆早45号和新陆早62号,采用美国ASD地物高光谱仪测定田间试验条件下,设置4个不同灌水量处理,研究2个棉花品种盛铃期的冠层反射光谱,同期利用PAM-2100叶绿素荧光仪测定棉花叶片的Fv/Fm,并用相关软件对棉花的反射光谱数据及Fv/Fm进行处理并作相关分析,建立相关回归模型。【结果】不同水分处理条件下,棉花冠层反射光谱的变化趋势相似;棉花新陆早62号盛铃期的单叶荧光参数Fv/Fm与棉花冠层高光谱反射率在350~514 nm、612~692 nm和1 945~2 076 nm波段范围内呈极显著正相关,而在708~1 361 nm和1 621~1 740 nm波段范围内呈极显著负相关;采用敏感波段构建植被指数NDVI(归一化植被指数)和RVI(比值植被指数),RVI与Fv/Fm的相关性较高(r_RVI-Fv/Fm=-0.721 5^**,n=20,P<0.01);建立Fv/Fm与RVI的估算模型方程,Fv/Fm估测值与实测值呈极显著线性正相关(r_{估测Fv/Fm-实测 Fv/Fm}=0.723 0^**,n=20,RMSE=1.186×10^-2)。【结论】利用荧光参数Fv/Fm与植被指数RVI的相关关系,可以监测棉花盛铃期的水分胁迫状况。

关键词: 棉花; 高光谱; 荧光参数; 水分胁迫; 监测

Abstract: 【Objective】 By setting of a field experiment with two cotton cultivars and four level of irrigating water treatments, the paper aims to study the characteristics of the reflectance and the fluorescence parameter Fv/Fm (PSⅡ maximum photochemical quantum yield) in cotton full-boll stage, and establish the correlation relationship between the chlorophyll fluorescence parameters and the hyperspectral vegetation index in the hope of providing a theory for monitoring the water stresses status over cotton canopy by using hyperspectral remote sensing.【Method】The reflectance of cotton canopy was measured by Field Spec Analytical Spectral Device in full-boll stage; At the same time, the leaf FV/Fm of cotton was measured by PAM-2100 chlorophyll fluorescence instrument, and the reflection spectrum data and FV/FM of cotton were processed and analyzed by correlation software, and the correlation regression model was established.【Result】The variation trend of cotton canopy reflectance spectra under different water treatment conditions was similar. During the full-boll stage, the Fv/Fm of single leaf of Xinluzao NO. 62 was positively correlated with canopy reflectance with the bands of 350-514 nm, 612-692 nm and 1,945-2,076 nm; but it was negatively correlated with the bands of 708~1,361 nm and 1,621-1,740 nm. The vegetation index NDVI (normalized difference vegetation index) and RVI (ratio vegetation index), were constructed by using sensitive bands, and there was a higher correlation between RVI and Fv/Fm (r_RVI-Fv/Fm=-0.721,5^**, n=20, P<0.01). The equation of estimating Fv/FM and RVI was established and the estimated value of FV/FM was positively correlated with the measured value (r_{restimated Fv/Fm-measured Fv/Fm}=0.723,0^**, n=20, RMSE=1.186 × 10^-2).【Conclusion】It showed that based on the correlation between the fluorescence parameter FV/FM and the vegetation index (RVI), the water stress status of cotton in boll stage can be monitored.

Key words: cotton; hyper-spectral; fluorescence parameters; water stress; monitor

中图分类号:

S502

刘馨月, 王登伟, 黄春燕, 黄凯杰, 王永胜, 来瑞欣, 马如海, 韩勇超, 王露霞. 基于荧光参数的棉花盛铃期水分状况高光谱监测[J]. 新疆农业科学, 2018, 55(7): 1177-1185.

LIU Xin-yue, WANG Deng-wei, HUANG Chun-yan, HUANG Kai-jie, WANG Yong-sheng, LAI Rui-xin, MA Ru-hai, HAN Yong-chao, WANG Lu-xia. Study on Hyperspectral Monitoring of Water Status in Cotton Full-Boll Stage Based on Fluorescence Parameters[J]. Xinjiang Agricultural Sciences, 2018, 55(7): 1177-1185.

参考文献

[1] Prasad, A. K., Chai, L., Singh, R. P., & Kafatos, M. (2006). Crop yield estimation model for iowa using remote sensing and surface parameters. International Journal of Applied Earth Observations & Geoinformation,8(1): 26-33.
[2] 浦瑞良,宫鹏.高光谱遥感及其应用[M].北京:高等教育出版社, 2000:185-228.
   PU Rui-liang, GONG Peng. (2000). Hyperspectral remote sensing and its application [M]. Beijing: Higher Education Press: 185-228. (in Chinese)
[3] 郑兰芬,王晋年.成像光谱遥感技术及其图像光谱信息提取的分析研究[J].遥感学报,1992,7(1):49-58.
   ZHENG Lan-fen, WANG Jin-nian. (1992). Analysis and research of image spectrum remote sensing technology and image spectrum information extraction [J]. Journal of Remote Sensing, 7(1): 49-58. (in Chinese)
[4] Genty, B., Briantais, J. M., & Baker, N. R. (1989). The relationship between the quantum yield of photosynthetic electron transport and quenching of chlorophyll fluorescence. BBA - General Subjects, 990(1): 87-92.
[5] Maxwell K, & Johnson GN. (2000). Chlorophyll fluorescence--a practical guide. Journal of Experimental Botany, 51(345): 659-668.
[6] Johnson, L. F. (2001). Nitrogen influence on fresh-leaf nir spectra. Remote Sensing of Environment, 78(3): 314-320.
[7] Bowman, W. D. (1989). The relationship between leaf water status, gas exchange, and spectral reflectance in cotton leaves. Remote Sensing of Environment, 30(3): 249-255.
[8] PeUelas, J., Filella, I., Biel, C., Serrano, L., & Sav R. (2007). The reflectance at the 95070 nm region as an indicator of plant water status. International Journal of Remote Sensing, 14(10): 1,887-1,905.
[9] Demmig, B., Winter, K., Krüger, A., & Czygan, F. C. (1987). Photoinhibition and zeaxanthin formation in intact leaves : a possible role of the xanthophyll cycle in the dissipation of excess light energy. Plant Physiology, 84(2): 218-224.
[10] 刘瑞显,王友华,陈兵林,等.花铃期干旱胁迫下氮素水平对棉花光合作用与叶绿素荧光特性的影响[J].作物学报,2008,(4):675-683.
   LIU Rui-xian, WANG You-hua, CHEN Bing-lin, et al. (2008). Effects of nitrogen level on Photosynthesis and chlorophyll fluorescence characteristics of cotton under drought stress at flowering and boll stage [J]. Acta Agronomica Sinica, (4): 675-683. (in Chinese)
[11] 卢广超,许建新,薛立, 等.干旱胁迫下4种常用植物幼苗的光合和荧光特性综合评价[J]. 生态学报,2013,33(24):7 872-7 881.
   LU Guang-chao, XU Jian-xin, XUE Li, et al. (2013). Comprehensive evaluation of photosynthesis and fluorescence characteristics of four common plant seedlings under drought stress [J]. Acta Ecologica Sinica, 33(24): 7,872-7,881. (in Chinese)
[12] 郝敬虹,易旸,尚庆茂, 等.干旱胁迫下外源水杨酸对黄瓜幼苗膜脂过氧化和光合特性的影响[J].应用生态学报,2012,23(3):717-723.
   HAO Jing-hong, YI Yang, SHANG Qing-mao, et al. (2000). Effects of exogenous salicylic acid on membrane lipid peroxidation and photosynthetic characteristics of Cucumber Seedlings under drought stress [J]. Chinese Journal of Applied Ecology, 23(3): 717-723. (in Chinese)
[13] 宋家壮,李萍萍,付为国.水分胁迫及复水对虉草生理生化特性的影响[J].草业学报,2012,21(2):62-69.
   SONG Jia-zhuang, LI Ping-ping, FU Wei-guo. (2012).Effects of water stress and rewatering on physiological and biochemical characteristics of arundinacea [J]. Acta Prataculturae Sinica, 21(2): 62-69. (in Chinese)
[14] 王锐,杨峰,张勇, 等. 套作大豆后期叶片叶绿素荧光特性及光谱特征分析[J].核农学报,2015,29(6):1 182-1 189.
   WANG Rui, YANG Feng, ZHANG Yong, et al. (2015). Analysis of chlorophyll fluorescence characteristics and spectral characteristics of late soybean intercropping leaves [J]. Acta Agriculturae Nucleare Sinica, 29(6): 1,182-1,189. (in Chinese)
[15] 罗俊,张木清,林彦铨, 等.甘蔗苗期叶绿素荧光参数与抗旱性关系研究[J].中国农业科学, 2004, (11): 1 718-1 721.
   LUO Jun, ZHANG Mu-qing, LIN Yan-quan, et al. (2000). Relationship between chlorophyll fluorescence parameters and drought resistance in Sugarcane Seedling Stage [J]. Scientia Agricultura Sinica, (11): 1,718-1,721. (in Chinese)
[16] 薛惠云,张永江,刘连涛, 等. 干旱胁迫与复水对棉花叶片光谱、光合和荧光参数的影响[J]. 中国农业科学,2013,46(11):2 386-2 393.
   XUE Hui-yun, ZHANG Yong-jiang, LIU Lian-tao, et al, (2013). Effects of drought stress and rewatering on spectral, photosynthetic and fluorescence parameters of cotton leaves [J]. Scientia Agricultura Sinica, 46(11): 2,386-2,393. (in Chinese)
[17] 朱艳,田永超,马吉锋, 等.小麦叶片叶绿素荧光参数与反射光谱特征的关系[J].作物学报, 2007,(8):1 286-1 292.
   ZHU Yan, TIAN Yong-chao, MA Ji-feng, et al. (2007). Relationship between chlorophyll fluorescence parameters and reflectance spectra of wheat leaves [J]. Acta Agronomica Sinica, (8): 1,286-1,292. (in Chinese)
[18] 王玉珏,付秋实,郑禾.干旱胁迫对黄瓜幼苗生长、光合生理及气孔特征的影响[J].中国农业大学学报,2010,15(5):12-18.
   WANG Yu-jue, FU Qiu-shi, ZHENG He. (2010). Effects of drought stress on growth, photosynthetic physiology and stomatal characteristics of Cucumber Seedlings [J]. Journal of China Agricultural University, 15(5): 12-18. (in Chinese)
[19] 孟浩峰,韩吉梅,张玉洁, 等.不同光环境下棉花叶片色素含量和荧光参数与光谱参数的相关性[J].新疆农业科学,2017,54(6):1 014-1 020.
   MENG Hao-feng, HAN Ji-mei, ZHANG Yu-jie, et al. (2017). Correlation between pigment content and fluorescence parameters and spectral parameters of cotton leaves under different light conditions [J]. Xinjiang Agricultural Sciences, 54(6): 1,014-1,020. (in Chinese)
[20] 仇亚红,杨峰,赵刚成,等.玉米穗位叶主要光合荧光参数与高光谱数据的相关分析[J].中国农学通报,2015,31(24):71-77.
   CHOU Ya-hong, YANG Feng, ZHAO Gang-cheng, et al. (2015). Correlation analysis between main photosynthetic fluorescence parameters and hyperspectral data of ear leaf in Maize [J]. Chinese Agricultural Science Bulletin, 31(24): 71-77. (in Chinese)
[21] Kalaji, H. M., Gert, S., Ladle, R. J., Vasilij, G., Karolina, B., & Allakhverdiev, S. I., et al. (2014). Frequently asked questions about in vivo chlorophyll fluorescence: practical issues. Photosynthesis Research,122(2): 121-158.
[22] 张守仁. 叶绿素荧光动力学参数的意义及讨论[J]. 植物学通报, 1999, (4): 444-448.
   ZHANG Shou-ren. (1999). The significance and discussion of chlorophyll fluorescence kinetic parameters [J]. Chinese Bulletin of Botany, (4): 444-448. (in Chinese)
[23] Demetriades-Shah, T. H., Steven, M. D., & Clark, J. A. (1990). High resolution derivative spectra in remote sensing. Remote Sensing of Environment, 33(1): 55-64.
[24] Horler, D. N. H., Dockray, M., & Barber, J. (1983). The red edge of plant leaf reflectance. International Journal of Remote Sensing, 4(2): 273-288.
[25] F. Boochs, G. Kupfer, K. Dockter, & W. Kühbauch. (1990). Shape of the red edge as vitality indicator for plants. International Journal of Remote Sensing, 11(10): 1,741-1,753.
[26] (英)库姆斯(Coombs,J.)等主编;邱国雄译. 生物生产力和光合作用测定技术[M]. 北京:科学出版社, 1986,9.
   Coombs, J. (1986). Measurement of biological productivity and photosynthesis translated by QIU Guo-xiong. [M]. Beijing: Science Press, 9. (in Chinese)
[27] Eitel, J. U. H., Vierling, L. A., Litvak, M. E., Long, D. S., Schulthess, U., & Ager, A. A., et al. (2011). Broadband, red-edge information from satellites improves early stress detection in a new mexico conifer woodland. Remote Sensing of Environment, 115(12): 3,640-3,646.
[28] O.H. Sayed. (2003). Chlorophyll fluorescence as a tool in cereal crop research. Photosynthetica, 41(3): 321-330.
[29] Cure, W. W., Flagler, R. B., & Heagle, A. S. (1989). Correlations between canopy reflectance and leaf temperature in irrigated and droughted soybeans ☆. Remote Sensing of Environment, 29(3): 273-280.
[30] 唐延林,黄敬峰,王秀珍, 等. 水稻、玉米、棉花的高光谱及其红边特征比较[J].中国农业科学,2004,(1):29-35.
   TANG Yan-lin, HUANG Jing-feng, WANG Xiu-zhen, et al. (2004) . Comparison of hyperspectral and red edge characteristics of rice, maize and cotton [J]. Scientia Agricultura Sinica, (1): 29-35.(in Chinese)
[31] 孙山,张立涛,高辉远, 等.晴天条件下光、温变化对苹果绿色果皮原初光化学反应的影响[J].应用生态学报,2009,20(10):2 431-2 436.
   SUN Shan, ZHANG Li-tao, GAO Hui-yuan, et al. (2009). Effects of light and temperature on the original photochemical reaction of apple green peel under clear weather conditions [J]. Chinese Journal of Applied Ecology, 20(10): 2,431-2,436. (in Chinese)