基于快速叶绿素荧光技术的油菜冠层生化参数垂直异质性分析

doi:10.12133/j.smartag.2021.3.1.202103-SA005

Smart Agriculture ›› 2021, Vol. 3 ›› Issue (1): 40-50.doi: 10.12133/j.smartag.2021.3.1.202103-SA005

• 专题--作物表型前沿技术与应用 • 上一篇下一篇

基于快速叶绿素荧光技术的油菜冠层生化参数垂直异质性分析

张佳菲^1,²(), 万亮^1,², 何勇^1,^2,³, 岑海燕^1,^2,³()

^1.浙江大学生物系统工程与食品科学学院，浙江杭州 310058
^2.农业农村部光谱检测重点实验室，浙江杭州 310058
^3.浙江大学现代光学仪器国家重点实验室，浙江杭州 310027

收稿日期:2021-03-11 修回日期:2021-03-28 出版日期:2021-03-30
基金项目:
国家自然科学基金(31801256);浙江省重点研究计划(2020C02002)
作者简介:张佳菲（1995－），女，硕士研究生，研究方向为高通量植物表型技术。E-mail：joycezhang@zju.edu.cn。
通信作者: 岑海燕（1982－），女，博士，研究员，研究方向为农作物光学成像与智能传感技术及装备、高通量植物表型技术、无人机低空遥感。电话：0571-88982527。E-mail：hycen@zju.edu.cn

Vertical Heterogeneity Analysis of Biochemical Parameters in Oilseed Rape Canopy Based on Fast Chlorophyll Fluorescence Technology

ZHANG Jiafei^1,²(), WAN Liang^1,², HE Yong^1,^2,³, CEN Haiyan^1,^2,³()

^1.College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
^2.Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, China
^3.State Key Laboratory of Modern Spectroscopic Instruments, Zhejiang University, Hangzhou 310027, China

Received:2021-03-11 Revised:2021-03-28 Online:2021-03-30
Foundation items:National Natural Science Foundation of China(31801256);Key Research Program of Zhejiang Province (2020C02002)
About author:ZHANG Jiafei, E-mail：joycezhang@zju.edu.cn
Corresponding author:CEN Haiyan, E-mail：hycen@zju.edu.cn

摘要/Abstract

摘要：

准确获取作物冠层生化信息对监测作物生长和指导精准施肥具有重要意义。现有的作物生化参数的垂直分布研究以高光谱遥感反演为主，缺乏与光合生理的联系。本研究主要探究了不同氮素处理水平下油菜苗期冠层内的叶绿素、类胡萝卜素、干物质和水分等生化参数的垂直分布变化特性，同时利用快速叶绿素荧光技术测定了叶片的光合性能，并通过线性回归分析和主成分分析进一步剖析了荧光响应与生化参数的内在联系。试验结果表明：（1）苗期中期油菜冠层的叶绿素含量、类胡萝卜素含量、干物质和水分含量均呈抛物线型的非均匀垂直分布，而叶绿素与类胡萝卜素的比值具有与其他生化参数不同的垂直分布模式，其随着叶位升高和施氮量的增加逐渐下降，与推动力DF_Total、电子链末端量子产额φ_Ro等荧光参数的垂直分布模式相同；（2）荧光参数，特别是DF_Total，对油菜叶片叶绿素与类胡萝卜的比值、叶绿素和干物质含量具有较强的评估能力；（3）缺氮会降低苗期油菜叶片的光系统I和II（PSI和PSII）性能，通过最大光化学效率φ_Po等荧光参数可对氮素胁迫进行诊断；而不同叶位叶片在PSI性能即电子末端传递效率上具有显著差异，通过DF_Total可有效表征冠层生化参数的垂直异质性。上述结果表明，应用快速叶绿素荧光技术对作物进行生化信息的垂直异质性监测具有可行性，可为指导精准施肥和提高优质优产提供新思路和技术支撑。

关键词: 快速叶绿素荧光, JIP-测定, 垂直异质性, 叶绿素, 类胡萝卜素, 氮素

Abstract:

Accurate acquisition of crop canopy biochemical information is of great significance for monitoring crop growth and guiding precise fertilization. Previous vertical distribution researches of crop biochemical information were mainly based on hyperspectral inversion, which was lack of the association of plant photosynthesis physiology. This study mainly investigated the vertical distribution characteristics of biochemical parameters such as chlorophyll, carotenoid, dry matter, and water content in the oilseed rape canopy under different nitrogen treatments at the mid-seedling stage. The photosynthetic performance of leaves was measured by using fast chlorophyll fluorescence technology, and linear regression and principal component analysis were further implemented to explore the internal relationship between fluorescence response and biochemical parameters. The results showed that: (1) The chlorophyll content, carotenoid content, dry matter and water content of the rape canopy at the mid-seedling stage all showed a parabolic vertical distribution, while the ratio of chlorophyll to carotenoids content gradually decreases with the leaf position and nitrogen treatments, which was the same as the vertical distribution pattern of fluorescence parameters such as driving force comprehensive performance (DF_Total) and end electron chain quantum yield (φ_Ro) and other fluorescence parameters could be used to diagnose nitrogen stress; (2) JIP-test parameters, especially DF_Total, had a good performance to evaluate the chlorophyll/carotenoids, chlorophyll and dry matter content of oilseed rape leaves; (3) Nitrogen deficiency would weaken the PSII and PSI performance of oilseed rape leaves at the mid-seedling stage, and the maximum photochemical efficiency (φ_Po) could be used to diagnose nitrogen stress. There was a significant difference in the PSI performance, namely electron transfer efficiency at the end acceptors of leaves in the different leaf position, hence the comprehensive performance parameter DF_Total could be an effective characterization of the vertical heterogeneity of canopy biochemical parameters. These findings indicated the feasibility of applying the rapid chlorophyll fluorescence technology to crop biochemical information heterogeneity monitoring and provided new ideas and technical support for guiding precise fertilization and achieving high-quality and high-yield.

Key words: fast chlorophyll fluorescence transient, JIP-test, vertical heterogeneity, chlorophyll, carotenoid, nitrogen

中图分类号:

S363

张佳菲, 万亮, 何勇, 岑海燕. 基于快速叶绿素荧光技术的油菜冠层生化参数垂直异质性分析[J]. 智慧农业(中英文), 2021, 3(1): 40-50.

ZHANG Jiafei, WAN Liang, HE Yong, CEN Haiyan. Vertical Heterogeneity Analysis of Biochemical Parameters in Oilseed Rape Canopy Based on Fast Chlorophyll Fluorescence Technology[J]. Smart Agriculture, 2021, 3(1): 40-50.

参考文献

1	ABDALLAH M, DUBOUSSET L, MEURIOT F, et al. Effect of mineral sulphur availability on nitrogen and sulphur uptake and remobilization during the vegetative growth of Brassica napus L[J]. Journal of Experimental Botany, 2010, 61(10): 2635-2646.
2	PAO Y, CHEN T, MOUALEU-NGANGUE D, et al. Environmental triggers for photosynthetic protein turnover determine the optimal nitrogen distribution and partitioning in the canopy[J]. Journal of Experimental Botany, 2019, 70(9): 2419-2434.
3	HIKOSAKA K. Optimality of nitrogen distribution among leaves in plant canopies[J]. Journal of Plant Research, 2016, 129(3): 299-311.
4	ADACHI S, YOSHIKAWA K, YAMANOUCHI U, et al. Fine mapping of carbon assimilation rate 8, a quantitative trait locus for flag leaf nitrogen content, stomatal conductance and photosynthesis in rice[J]. Frontiers in Plant Science, 2017, 8: ID 60.
5	王纪华, 王之杰, 黄文江, 等. 冬小麦冠层氮素的垂直分布及光谱响应[J]. 遥感学报, 2004, 8(4): 309-316.
5	WANG J, WANG Z, HUANG W, et al. The vertical distribution characteristic and spectral response of canopy nitrogen in different layer of winter wheat[J]. Journal of Remote Sensing, 2004, 8(4): 309-316.
6	叶晓青, 邹勇, 余志虹, 等. 烤烟冠层光谱参数与氮素垂直分布相关性研究[J]. 农业机械学报, 2013, 44(5): 219-225.
6	YE X, ZOU Y, YU Z, et al. Correlation between nitrogen vertical distribution and spectral characteristics of flue-cured tobacco[J]. Transactions of the CSAM, 2013, 44(5): 219-225.
7	FENG W, GUO B, WANG Z, et al. Measuring leaf nitrogen concentration in winter wheat using double-peak spectral reflection remote sensing data[J]. Field Crops Research, 2014, 159: 43-52.
8	LI F, MISTELE B, HU Y, et al. Remotely estimating aerial N status of phenologically differing winter wheat cultivars grown in contrasting climatic and geographic zones in China and Germany[J]. Field Crops Research, 2012, 138: 21-32.
9	STAGAKIS S, MARKOS N, SYKIOTI O, et al. Tracking seasonal changes of leaf and canopy light use efficiency in a Phlomis fruticosa Mediterranean ecosystem using field measurements and multi-angular satellite hyperspectral imagery[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 97: 138-151.
10	ZHANG Q, CHEN J M, JU W, et al. Improving the ability of the photochemical reflectance index to track canopy light use efficiency through differentiating sunlit and shaded leaves[J]. Remote Sensing of Environment, 2017, 194:1-15.
11	STIRBET A, LAZáR D, GUO Y, et al. Photosynthesis: Basics, history and modelling[J]. Annals of Botany, 2020, 126(4): 511-537.
12	GUO Y, TAN J. Recent advances in the application of chlorophyll a fluorescence from photosystem II[J]. Photochemistry and Photobiology, 2015, 91(1): 1-14.
13	GUANTER L, ZHANG Y, JUNG M, et al. Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence[J]. Proceedings of the National Academy of Sciences, 2014, 111(14): 1327-1333.
14	PAPAGEORGIOU G. Chlorophyll a fluorescence: A signature of photosynthesis[M]. Dordrecht: Springer, 2004.
15	MAGYAR M, SIPKA G, KOVáCS L, et al. Rate-limiting steps in the dark-to-light transition of Photosystem II-revealed by chlorophyll-a fluorescence induction[J]. Scientific Reports, 2018, 8(1): 1-9.
16	SHRESTHA S, BRUECK H and ASCH F. Chlorophyll index, photochemical reflectance index and chlorophyll fluorescence measurements of rice leaves supplied with different N levels[J]. Journal of Photochemistry and Photobiology B: Biology, 2012, 113: 7-13.
17	LIU R, WANG Y, CHEN B, et al. Effects of nitrogen levels on photosynthesis and chlorophyll fluorescence characteristics under drought stress in cotton flowering and boll-forming stage[J]. Acta Agronomica Sinica, 2008, 34(4): 675-683.
18	FENG W, HE L, ZHANG H-Y, et al. Assessment of plant nitrogen status using chlorophyll fluorescence parameters of the upper leaves in winter wheat[J]. European Journal of Agronomy, 2015, 64: 78-87.
19	LARBI A, VáZQUEZ S, EL-JENDOUBI H, et al. Canopy light heterogeneity drives leaf anatomical, eco-physiological, and photosynthetic changes in olive trees grown in a high-density plantation[J]. Photosynthesis Research, 2015, 123(2): 141-155.
20	KAUTSKY H, HIRSCH A. Neue versuche zur kohlens?ureassimilation[J]. Naturwissenschaften, 1931, 19(48): 964-964.
21	STRASSER R J, TSIMILLI-MICHAEL M, SRIVASTAVA A. Analysis of the chlorophyll a fluorescence transient[M]. Dordrecht: Springer, 2004.
22	STIRBET A. On the relation between the Kautsky effect (chlorophyll a fluorescence induction) and photosystem II: Basics and applications of the OJIP fluorescence transient[J]. Journal of Photochemistry and Photobiology B: Biology, 2011, 104(1-2): 236-257.
23	TSIMILLI-MICHAEL M, EGGENBERG P, BIRO B, et al. Synergistic and antagonistic effects of arbuscular mycorrhizal fungi and Azospirillum and Rhizobium nitrogen-fixers on the photosynthetic activity of alfalfa, probed by the polyphasic chlorophyll a fluorescence transient OJIP[J]. Applied Soil Ecology, 2000, 15(2): 169-182.
24	ABDI H, WILLIAMS L J. Principal component analysis[J]. Wiley Interdisciplinary Reviews: Computational Statistics, 2010, 2(4): 433-459.
25	HUANG W, YANG Q, PU R, et al. Estimation of nitrogen vertical distribution by bi-directional canopy reflectance in winter wheat[J]. Sensors, 2014, 14(11): 20347-20359.
26	MERZLYAK M N, GITELSON A A, CHIVKUNOVA O B, et al. Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening[J]. Physiologia Plantarum, 1999, 106(1): 135-141.
27	ZHOU X, HUANG W, ZHANG J, et al. A novel combined spectral index for estimating the ratio of carotenoid to chlorophyll content to monitor crop physiological and phenological status[J]. International Journal of Applied Earth Observation and Geoinformation, 2019, 76: 128-142.
28	DIN? E, CEPPI M G, TóTH S Z, et al. The chl a fluorescence intensity is remarkably insensitive to changes in the chlorophyll content of the leaf as long as the chl a/b ratio remains unaffected[J]. Biochimica et Biophysica Acta (BBA)-Bioenergetics, 2012, 1817(5): 770-779.

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基于快速叶绿素荧光技术的油菜冠层生化参数垂直异质性分析

Vertical Heterogeneity Analysis of Biochemical Parameters in Oilseed Rape Canopy Based on Fast Chlorophyll Fluorescence Technology

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