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Alex Silva-Sánchez; Julia Buil-Salafranca; Andrea Casadesús Cabral; Naroa Uriz-Ezcaray; Helio Adán García-Mendívil; Francisco Javier Sorribas; José Luis Araus; Adrian Gracia-Romero. Comparison of Proximal Remote Sensing Devices for Estimating Physiological Responses of Eggplants to Root-Knot Nematodes. Proceedings 2019, 18, 9 .

AMA Style

Alex Silva-Sánchez, Julia Buil-Salafranca, Andrea Casadesús Cabral, Naroa Uriz-Ezcaray, Helio Adán García-Mendívil, Francisco Javier Sorribas, José Luis Araus, Adrian Gracia-Romero. Comparison of Proximal Remote Sensing Devices for Estimating Physiological Responses of Eggplants to Root-Knot Nematodes. Proceedings. 2019; 18 (1):9.

Chicago/Turabian Style

Alex Silva-Sánchez; Julia Buil-Salafranca; Andrea Casadesús Cabral; Naroa Uriz-Ezcaray; Helio Adán García-Mendívil; Francisco Javier Sorribas; José Luis Araus; Adrian Gracia-Romero. 2019. "Comparison of Proximal Remote Sensing Devices for Estimating Physiological Responses of Eggplants to Root-Knot Nematodes." Proceedings 18, no. 1: 9.

Comparison of Proximal Remote Sensing Devices for Estimating Physiological Responses of Eggplants to Root-Knot Nematodes

1  New Perspectives in Environmental Agrobiology, Master’s degree in Environmental Agrobiology, Faculty of Biology, University of Barcelona, 08007 Barcelona, Spain
2  Department of Agri-Food Engineering and Biotechnology, Universitat Politècnica de Catalunya, Esteve Terradas 8, 08860 Castelldefels, Barcelona, Spain
3  Integrative Crop Ecophysiology Group, Plant Physiology Section, Faculty of Biology, University of Barcelona, 08007 Barcelona, Spain

Abstract: Proximal remote sensing devices are becoming widely applied in field plant research to estimate biochemical (e.g., pigments or nitrogen) or agronomical (e.g., leaf area, biomass, or yield) parameters as indicators of stress. Non-invasive characterization of plant responses allows for the screening of larger populations faster than conventional procedures which, in addition to requiring more time, either imply the destruction of material or are subjective (e.g., visual ranking). This study explores the comparison of a set of remote sensing devices at single-leaf and whole-canopy levels based on their performance in assessing how the eggplant and its yield responds to grafting as a way to tolerate root-knot nematodes. The results showed that whole-canopy measurements, such as the Green Area (GA) derived from the Red-Green-Blue (RGB) images (r = 0.706 and p-value = 0.001**) or the canopy temperature (r = −0.619 and p-value = 0.005**), outperformed single-leaf measurements, such as the leaf chlorophyll content measured by the Dualex (r = 0.422 and p-value = 0.059) assessing yield. Moreover, other parameters, such as the time required to measure each sample or the cost of the sensors, were taken into account in the discussion. In sum, indices derived from the RGB images demonstrated their robust potential for the assessment of crop status as a low-cost alternative to other more expensive and time-consuming devices.

Keywords: chlorophyll content, leaf temperature, Rgb Images, Proximal Remote Sensing, eggplants, Canopy Measurements, toot-knot nematodes, single-leaf measurements

Published: 23 May 2019 in Proceedings

https://doi.org/10.3390/ecrs-3-06182

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