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Application of remote sensing techniques for the identification of biotic stress in plum trees caused by the Plum pox virus


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Atanasoff D., 1932. Plum pox. A new virus disease. Yearb. Sof. Univ., Faculty of Agriculture and Silviculture 11: 49-69.Search in Google Scholar

Atanasoff D., 1933. Sharka – a new viral disease on plums in Bulgaria. Yearb. Sof. Univ., Faculty of Agronomy 11: 49-70.Search in Google Scholar

Atanasoff D., 1935. Mosaic of stone fruits. Phytopathol. 8: 259-284.Search in Google Scholar

Bock C.H., Poole G.H., Parker P.E., Gottwald T.R., 2010. Plant disease severity estimated visually by digital photography and image analysis, and by hyperspectral imaging. Crit. Rev. Plant Sci. 29: 59-107.10.1080/07352681003617285Search in Google Scholar

Bravo C., Moshou D., West J., McCartney A., Ramon H., 2003. Early disease detection in wheat fields using spectral reflectance. Biosys. Eng. 84(2): 137-145.10.1016/S1537-5110(02)00269-6Search in Google Scholar

Campbell P.K.E., Middleton E.M., Mcmurtrey J.E., Corp L.A., Chappelle E.W., 2007. Assessment of vegetation stress using reflectance or fluorescence measurements. J. Environ. Qual. 36: 832-845.10.2134/jeq2005.039617485715Search in Google Scholar

Clark M., Adams A., 1977. Characteristics of the microplate method of enzyme linked immunosorbent assay (ELISA) for the detection of plant viruses. J. Gen. Virol. 34: 475-483.10.1099/0022-1317-34-3-475323416Search in Google Scholar

Dunez J., Sutic D., 1988. Plum pox virus. In: European Handbook of Plant Diseases. I.M. Smith, J. Dunez, R.A. Eliot, D.H. Phillips and S.A. Arches (eds), Blackwell, Oxford, UK: 44-46.Search in Google Scholar

Krezhova D., 2011. Spectral remote sensing of the responses of soybean plants to environmental stresses, In: Soybean – Genetics and Novel Techniques for Yield Enhancement, Chapter 11. D. Krezhova (ed), Tech Publisher: 215-256.10.5772/24741Search in Google Scholar

Krezhova D.D., Petrov N.M., Maneva S.N., 2012. Hyperspectral remote sensing applications for monitoring and stress detection in cultural plants: viral infections in tobacco plants, Proc. of Remote Sensing for Agriculture, Ecosystems, and Hydrology Conf. September, Edinburgh, UK, XIV, 8531: 24-27.10.1117/12.974722Search in Google Scholar

Mahlein A-K., Oerke E.C., Steiner U., Dehne H-W., 2012. Hyperspectral imaging for small-scale analysis of symptoms caused by different sugar beet diseases. Plant Methods 8(3): 1-13. Available online at http://www.plantmethods.com/content/8/1/3.10.1186/1746-4811-8-3327448322273513Search in Google Scholar

Maxwell K., Johnson G., 2000. Chlorophyll fluorescence – a practical guide. J. Exper. Botany, 51(345): 659-668.10.1093/jexbot/51.345.659Search in Google Scholar

Moshou D., Bravo C., Oberti R., West J., Bodria L., McCartney A., Ramon H., 2005. Plant disease detection based on data fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps. J. Real-Time Image Processing 11(2): 75-83.10.1016/j.rti.2005.03.003Search in Google Scholar

Nemeth M., 1994. History and importance of plum pox in stone-fruit production. Bulletin OEPP/EPPO Bulletin 24: 525-536.10.1111/j.1365-2338.1994.tb01065.xSearch in Google Scholar

OEPP/EPPO, 2004, Bulletin OEPP/EPPO Bulletin 34: 155-157.10.1111/j.1365-2338.2004.00713.xSearch in Google Scholar

Pinter P.J., Hatfield J.L., Schepers J.S., Barnes E.M., Moran M.S., Daughtry C.S.T., Upchurch D.R., 2003. Remote sensing for crop management. Photogramm. Eng. Remote Sens. 69: 647-664.10.14358/PERS.69.6.647Search in Google Scholar

Schreiber U., 2004. Chlorophyll a Fluorescence: A Signature of Photosynthesis. G.C. Papageorgiou, and Govindjee (eds), Springer, Dordrecht, 279.Search in Google Scholar

Sims D.A., Gamon J.A., 2002. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sens. Environ. 81: 337-354.10.1016/S0034-4257(02)00010-XSearch in Google Scholar

Smith R.B., 2001. Introduction to remote sensing of the environment. www.microimages.comSearch in Google Scholar

Trifonov D., 1972. Viral diseases on the fruit trees. Zemizdat, Sofia: 130-132.Search in Google Scholar

Usha K., Bhupinder S., 2013. Potential applications of remote sensing in horticulture-A review. Sci. Horticul. 153: 71-83.10.1016/j.scienta.2013.01.008Search in Google Scholar

Ustin S.L., Gamon J, A., 2010. Remote sensing of plant functional types. New Phytol. 186: 795-816.10.1111/j.1469-8137.2010.03284.x20569415Search in Google Scholar

Vulić T., Nikolić D., Oparnica Č., Đorđević B., Kuzmanović S., Starović M., Đinović I., Nikolić N., Tosić M., 2011. Sectorial resistance of plums against sharka disease (Plum pox virus). Zastita bilja, Beograd, 62(1) 275: 5-15.Search in Google Scholar

West J.S., Bravo C., Oberit R., Lemaire D., Moshou D., McCartney H.A., 2003. The potential of optical canopy measurement for targeted control of field crop diseases. Annu. Rev. Phytopathol. 41: 593-614.10.1146/annurev.phyto.41.121702.10372612730386Search in Google Scholar

Yang Z., Rao M.N., Elliott N.C., Kindler S.D., Popham T.W., 2009. Differentiating stress induced by greenbugs and Russian wheat aphids in wheat using remote sensing. Comput. Electron. Agric. 67(1-2): 64-70.10.1016/j.compag.2009.03.003Search in Google Scholar

eISSN:
2083-5965
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Life Sciences, Plant Science, Zoology, Ecology, other