ORIGINAL ARTICLE
Application of spectral measurements to the assessment of potato plants infection by Phytophthora infestans, the causal agent of potato late blight
 
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1
Institute of Plant Protection, Miczurina 20, 60-318 Poznań, Poland
2
Plant Breeding and Acclimatisation Institute, Research Division Poznań Strzeszyńska 36, 60-479 Poznań, Poland
CORRESPONDING AUTHOR
Andrzej Wójtowicz
Institute of Plant Protection, Miczurina 20, 60-318 Poznań, Poland
 
Journal of Plant Protection Research 2006;46(1):85–95
KEYWORDS
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ABSTRACT
Measurements of spectral reflectance from potato plants were carried out in the years 2000 and 2001 using the field radiometer CE 313 of Cimel Electronique Company. Field experiments permitted to perceive differences in the reflectance of electromagnetic radiation from potato plant cultivars Bekas and Mila as well as differences between the plants treated with fungicides providing the protection against Phytophthora infestans and the untreated plants. A differentiation of the values of vegetative indices between potato cultivars resulted from the unequal development rate of the cultivars and from their different susceptibility to Phytophthora infestans. The assessment of potato plants infection by the studied pathogen using spectral measurements agreed with the results of field inspection
CONFLICT OF INTEREST
The authors have declared that no conflict of interests exist.
 
REFERENCES (15)
1.
Anonymous 1947. The measurement of potato blight. Trans. British Mycol. Soc. 31: 140–141.
 
2.
Asrar G., Fuchs M., Kanemasu E.T., Hatfield J.L. 1984. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agron. J. 76: 300–306.
 
3.
Bausch W.C. 1993. Soil background effects on reflectance-based crop coefficients for corn. Remote Sens. Environ. 46: 213–222.
 
4.
Benedetti R., Rossini P. 1993. On the use of NDVI profiles as a tool for agricultural statistics: The case study of wheat yield estimates and forecast in Emilia Romagna. Remote Sens. Environ. 45: 311–326.
 
5.
Dejong S. M. 1994. Derivation of vegetative variables from a Landsat TM image for modelling soilerosion. Earth Surf. Process. Landforms. 19: 165–178.
 
6.
Dymond J.R., Stephens P.R., Newsome P.F., Wilke R.H. 1992. Percentage vegetation cover of a degrading rangeland from SPOT. Int. J. Remote Sens. 13: 1999–2007.
 
7.
Hickman M.V., Everitt J.H., Escobar D.E., Richardson A.J. 1991. Aerial photography and videography for detecting and mapping dicamba injury patterns. Weed Technol. 5: 700–706.
 
8.
Jörg E., Kleinhenz B. 1999. Proposal for validation of the late blight DSS in field trials. PAV-Special Report No. 5: 30–41.
 
9.
Lamb D., Weedon M. 1998 Evaluating the accuracy of mapping weeds in fallow fields using airborne digital imaging: Panicum effusum in oilseed rape stubble. Weed Research 38: 443–451.
 
10.
Nilsson H. 1985. Remote sensing of 6-row barley infected by barley stripe disease. Vaxtskyddsrapporter Jordbruk 36, 49 pp.
 
11.
Pennypacker S.P., Scharpen A.L., Sharp E.L., Sands D.C. 1982. Spectral classification of wheat infected with barley yellow dwarf and stripe rust. Phytopathology 72, p. 1006.
 
12.
Sharp E.L., Perry C.R., Scharen A.L., Boatwright G.O., Sands D.C., Lautenschlager L.F., Yahyaoui C.M., Ravet F.W. 1985. Monitoring cereal rust development with a spectral radiometer. Phytopathology 75: 936–939.
 
13.
Wanjura D.F., Hatfield J.L. 1987. Sensitivity of spectral vegetation indices to crop biomass. Trans. ASAC 30: 810–816.
 
14.
Wójtowicz A., Piekarczyk J. 2001. Monitoring of Phytophthora infestans development with a luminancemeter. J. Plant Protection Res. 41: 256–265.
 
15.
Wood E.F., Lakshmi V. 1993. Scaling water and energy fluxes in climate systems-3 land atmospheric modeling experiments. J. Climate 6: 839–857.
 
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