Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Functional Plant Biology Functional Plant Biology Society
Plant function and evolutionary biology
Shopping Cart: ( empty )
You are here: Home > Journals > FP > FP09108
RESEARCH ARTICLE
Contents Vol 36(11)

3D monitoring spatio–temporal effects of herbicide on a whole plant using combined range and chlorophyll a fluorescence imaging

Atsumi Konishi A B , Akira Eguchi A , Fumiki Hosoi A and Kenji Omasa A C
+ Author Affiliations
- Author Affiliations

A Graduate School of Agricultural and Life Sciences, The University of Tokyo, Yayoi 1-1-1, Bunkyo-ku, Tokyo 113-8657, Japan.

B Present address: Marine Farm, Yanmar Co., Ltd, 3286 Itoharu, Musashi-machi, Kunisaki-city, Oita 873-0421, Japan.

C Corresponding author. Email: aomasa@mail.ecc.u-tokyo.ac.jp

This paper originates from a presentation at the 1st International Plant Phenomics Symposium, Canberra, Australia, April 2009.

Functional Plant Biology 36(11) 874-879 https://doi.org/10.1071/FP09108
Submitted: 12 May 2009  Accepted: 24 August 2009   Published: 5 November 2009

Abstract

Spatio–temporal effects of herbicide including 3-(3,4 dichlorophenyl)-1,1-dimethylurea (DCMU) on a whole melon (Cucumis melo L.) plant were three-dimensionally monitored using combined range and chlorophyll a fluorescence imaging. The herbicide was treated to soil in a pot and the changes in chlorophyll a fluorescence images of the plant were captured over time. The time series of chlorophyll fluorescence images were combined with 3D polygon model of the whole plant taken by a high-resolution portable scanning lidar. From the produced 3D chlorophyll fluorescence model, it was observed that the increase of chlorophyll fluorescence appeared along veins of leaves and gradually expanded to mesophylls. In addition, it was found by detailed analysis of the images that the invisible herbicide injury on the mature leaves occurred earlier and more severely than on the young and old leaves. The distance from veins, whole leaf area and leaf inclination influenced the extent of the injury within the leaves. These results indicated difference in uptake of herbicide in the plant from soil depends on structural parameters of leaves and the microenvironments as well as leaf age. The findings showed that 3D monitoring using combined range and chlorophyll a fluorescence imaging can be utilised for understanding spatio-temporal changes of herbicide effects on a whole plant.

Additional keywords: herbicide uptake, spatio-temporal change, three-dimensional imaging.


References


Andersen HJ, Reng L, Kirk K (2005) Geometric plant properties by relaxed stereo vision using simulated annealing. Computers and Electronics in Agriculture 49, 219–232.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Biskup B, Scharr H, Shurr U, Rascher U (2007) A stereo imaging system for measuring structural parameters of plant canopies. Plant, Cell & Environment 30, 1299–1308.
| Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1

Campbell GS , Norman JM (1989) The description and measurement of plant canopy structure. In ‘Plant canopies: their growth, form, and function’. (Eds G Russell, B Marshall, PG Jarvis) pp. 1–19. (Cambridge University Press: Cambridge)

Chaerle L, Hulsen K, Hermans C, Strasser RJ, Valcke R, Höfte M, Van der Straeten D (2003) Robotized time-lapse imaging to assess in planta uptake of phenylurea herbicides and their microbial degradation. Physiologia Plantarum 118, 613–619.
| Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Daley PF, Raschke K, Ball JT, Berry JA (1989) Topography of photosynthetic activity of leaves obtained from video images of chlorophyll fluorescence. Plant Physiology 90, 1233–1238.
| Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Endo R, Omasa K (2007) 3-D cell-level chlorophyll fluorescence imaging of ozone-injured sunflower leaves using a new passive light microscope system. Journal of Experimental Botany 58, 765–772.
| Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Genty B, Meyer S (1995) Quantitative mapping of leaf photosynthesis using chlorophyll fluorescence imaging. Australian Journal of Plant Physiology 22, 277–284.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Govindjee (2004) Chlorophyll a fluorescence: a bit of basics and history. In ‘Chlorophyll a fluorescence – a signature of photosynthesis’. (Eds GC Papageorgiou, Govindjee) pp. 1–42. (Springer: Dordrecht)

Govindjee , Nedbal L (2000) The chlorophyll fluorescence imaging and its application in plant science and technology. Photosynthetica 38, 481–482.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Häder DP (2000) ‘Image analysis: methods and applications.’ 2nd edn. (CRC Press: Boca Raton, FL)

Heckbert PS (1986) Survey of texture mapping. IEEE Computer Graphics and Applications 6, 56–67.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Herbert TJ (1995) Sterophotogrammetry of plant leaf angles. Photogrammetric Engineering and Remote Sensing 61, 89–92. open url image1

Hosoi F, Omasa K (2009) Estimating vertical plant area density profile and growth parameters of a wheat canopy at different growth stages using three-dimensional portable lidar imaging. ISPRS Journal of Photogrammetry and Remote Sensing 64, 151–158.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Ivanov N, Boissard P, Chapron M, Valéry P (1994) Estimation of the height and angles of orientation of the upper leaves in the maize canopy using stereovision. Agronomie 14, 183–194.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Jones HG (1983) ‘Plants and microclimate: a quantitative approach to environmental plant physiology.’ (Cambridge University Press: Cambridge)

Jones HG, Morison J (2007) Imaging stress responses in plants. Journal of Experimental Botany 58, 743–898.
| Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1

Lang ARG (1973) Leaf orientation of a cotton plant. Agricultural Meteorology 11, 37–51.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Omasa K (1990) Image instrumentation methods of plant analysis. In ‘Modern methods of plant analysis’. (Eds HF Linskens, JF Jackson) pp. 203–243. (Springer-Verlag: Berlin)

Omasa K (2000) 3D color video microscopy of intact plants. In ‘Image analysis: methods and applications’. 2nd edn. (Ed. DP Häder) pp. 257–273. (CRC Press: Boca Raton, FL)

Omasa K, Takayama K (2003) Simultaneous measurement of stomatal conductance, non-photochemical quenching, and photochemical yield of photosystem II in intact leaves by thermal and chlorophyll fluorescence imaging. Plant & Cell Physiology 44, 1290–1300.
| Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Omasa K, Shimazaki K, Aiga I, Larcher W, Onoe M (1987) Image analysis of chlorophyll fluorescence transients for diagnosing the photosynthetic system of attached leaves. Plant Physiology 84, 748–752.
| Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Omasa K , Saji H , Youssefian S , Kondo N (Eds) (2002) ‘Air pollution and plant biotechnology.’ (Springer-Verlag: Tokyo)

Omasa K, Hosoi F, Konishi A (2007) 3D lidar imaging for detecting and understanding plant responses and canopy structure. Journal of Experimental Botany 58, 881–898.
| Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Omasa K, Konishi A, Tamura H, Hosoi F (2009) 3D confocal laser scanning microscopy for the analysis of chlorophyll fluorescence parameters of chloroplasts in intact leaf tissues. Plant & Cell Physiology 50, 90–105.
| Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Oxborough K (2004) Imaging of chlorophyll a fluorescence: theoretical and practical aspects of an emerging technique for monitoring of photosynthetic performance. Journal of Experimental Botany 55, 1195–1205.
| Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Oxborough K, Baker NR (1997) An instrument capable of imaging chlorophyll a fluorescence from intact leaves at very low irradiance and at cellular and subcellular levels of organization. Plant, Cell & Environment 20, 1473–1483.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Rolfe SA, Scholes JD (2002) Extended depth-of-focus imaging of chlorophyll fluorescence from intact leaves. Photosynthesis Research 72, 107–115.
| Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Ross J (1981) ‘The radiation regime and architecture of plant stands.’ (Dr. W. Junk Publishers: The Hague)

Schurr U, Wakter A, Rascher U (2006) Functional dynamics of plant growth and photosynthesis – from steady state to dynamics – from homogeneity to heterogeneity. Plant, Cell & Environment 29, 340–352.
| Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Sinoquet H, Thanisawanyangkura S, Mabrouk H, Kasemsap P (1998) Characterization of the light environment in canopies using 3D digitizing image processing. Annals of Botany 82, 203–212.
| Crossref | GoogleScholarGoogle Scholar | open url image1