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dc.contributor.author
Cordon, Gabriela Beatriz
dc.contributor.author
Andrade, Carolina
dc.contributor.author
Barbara, Lucía
dc.contributor.author
Romero, Ana María
dc.date.available
2022-09-13T13:27:44Z
dc.date.issued
2021-07
dc.identifier.citation
Cordon, Gabriela Beatriz; Andrade, Carolina; Barbara, Lucía; Romero, Ana María; Early detection of tomato bacterial canker by reflectance indices; China Agricultural University; Information Processing in Agriculture; 9; 2; 7-2021; 184-194
dc.identifier.issn
2214-3173
dc.identifier.uri
http://hdl.handle.net/11336/168493
dc.description.abstract
Early detection of infected asymptomatic plants could prevent the dissemination of tomato bacterial canker throughout the crop and, thus, reduce associated economic losses. Reflectance spectroscopy has been proposed for the detection of diseases in plants, mainly caused by foliar fungal pathogens. In contrast, bacterial canker is a vascular disease that does not produce visible foliar symptoms until it is too late to avoid contagion to other plants. The effects of the disease on the conductivity of the xylem have an impact on the water content of the leaves; initially, a subtle effect that cannot be assessed with the naked eye but can be evaluated by reflectance spectroscopy. The objective of this work was to identify indices, based on the reflectance spectral signature of the plants, for the detection of tomato plants affected by bacterial canker prior to the appearance of symptoms. To verify that the proposed methodology is applicable to a broad range of tomato genotypes, two experiments were carried out with different tomato cultivars grown in pots and another on the ground in a greenhouse. Plants were inoculated with the pathogenic bacteria and the reflectance spectrum of the apical leaflet of two leaves per plant were obtained before symptoms expression; several spectral indices were calculated from the reflectance spectra. Three indices, of the shortwave-infrared zone, allowed the detection of bacterial canker inoculated plants in a fast and non-destructive way, up to one week before symptoms were visible: Normalized Difference Water Index (NDWI), Simple Ratio of Water Index (SRWI) and Water Index 1 180 (WI1180). Our research demonstrates, for the first time, the usefulness of spectral indices sensitive to water content for the identification of diseased plants. These indices arise as a promising tool for the early detection of vascular plant diseases, that could be integrated into sustainable management plans.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
China Agricultural University
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
BACTERIAL WILT
dc.subject
CLAVIBACTER MICHIGANENSIS SUBSP. MICHIGANENSIS
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REFLECTANCE INDICES
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SOLANUM LYCOPERSICUM L
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Otras Ciencias Agrícolas
dc.subject.classification
Otras Ciencias Agrícolas
dc.subject.classification
CIENCIAS AGRÍCOLAS
dc.title
Early detection of tomato bacterial canker by reflectance indices
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-08-23T20:51:51Z
dc.journal.volume
9
dc.journal.number
2
dc.journal.pagination
184-194
dc.journal.pais
China
dc.description.fil
Fil: Cordon, Gabriela Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina
dc.description.fil
Fil: Andrade, Carolina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina
dc.description.fil
Fil: Barbara, Lucía. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Fitopatología; Argentina
dc.description.fil
Fil: Romero, Ana María. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Fitopatología; Argentina
dc.journal.title
Information Processing in Agriculture
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.inpa.2021.06.004
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2214317321000536
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