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Comparison of proximal remote sensing devices of vegetable crops to determine the role of grafting in plant resistance to Meloidogyne incognita

Authors :
Universitat Politècnica de Catalunya. Doctorat en Tecnologia Agroalimentària i Biotecnologia
Universitat Politècnica de Catalunya. Departament d'Enginyeria Agroalimentària i Biotecnologia
Universitat Politècnica de Catalunya. GINEMQUAL - Gestió Integrada de Nematodes Fitoparàsits i dels Efectes sobre el Rendiment i Qualitat de la Collita
Hamdane, Yassine
García Romero, Adrián
Buchaillot, María Luisa
Araus Ortega, José Luís
Sanchez Bragado, Rut
Fullana Pons, Aïda Magdalena
Sorribas Royo, Francisco Javier
Kefauver, Shawn Carlisle
Universitat Politècnica de Catalunya. Doctorat en Tecnologia Agroalimentària i Biotecnologia
Universitat Politècnica de Catalunya. Departament d'Enginyeria Agroalimentària i Biotecnologia
Universitat Politècnica de Catalunya. GINEMQUAL - Gestió Integrada de Nematodes Fitoparàsits i dels Efectes sobre el Rendiment i Qualitat de la Collita
Hamdane, Yassine
García Romero, Adrián
Buchaillot, María Luisa
Araus Ortega, José Luís
Sanchez Bragado, Rut
Fullana Pons, Aïda Magdalena
Sorribas Royo, Francisco Javier
Kefauver, Shawn Carlisle
Publication Year :
2022

Abstract

Proximal remote sensing devices are novel tools that enable the study of plant health status through the measurement of specific characteristics, including the color or spectrum of light reflected or transmitted by the leaves or the canopy. The aim of this study is to compare the RGB and multispectral data collected during five years (2016–2020) of four fruiting vegetables (melon, tomato, eggplant, and peppers) with trial treatments of non-grafted and grafted onto resistant rootstocks cultivated in a Meloidogyne incognita (a root-knot nematode) infested soil in a greenhouse. The proximal remote sensing of plant health status data collected was divided into three levels. Firstly, leaf level pigments were measured using two different handheld sensors (SPAD and Dualex). Secondly, canopy vigor and biomass were assessed using vegetation indices derived from RGB images and the Normalized Difference Vegetation Index (NDVI) measured with a portable spectroradiometer (Greenseeker). Third, we assessed plant level water stress, as a consequence of the root damage by nematodes, using stomatal conductance measured with a porometer and indirectly using plant temperature with an infrared thermometer, and also the stable carbon isotope composition of leaf dry matter.. It was found that the interaction between treatments and crops (ANOVA) was statistically different for only four of seventeen parameters: flavonoid (p < 0.05), NBI (p < 0.05), NDVI (p < 0.05) and the RGB CSI (Crop Senescence Index) (p < 0.05). Concerning the effect of treatments across all crops, differences existed only in two parameters, which were flavonoid (p < 0.05) and CSI (p < 0.001). Grafted plants contained fewer flavonoids (x¯ = 1.37) and showed lower CSI (x¯ = 11.65) than non-grafted plants (x¯ = 1.98 and x¯ = 17.28, respectively, p < 0.05 and p < 0.05) when combining all five years and four crops. We conclude that the grafted plants were less stressed and more protected against nematode attack. Leaf flavon<br />Y.H. acknowledges the support of the Tunisian government from the Ministery of Higher Education and Scientific Research. J.L.A. acknowledges support from the Institució Catalana d’Investigació i Estudis Avançats (ICREA) Academia, Generalitat de Catalunya, Spain. S.C.K. is supported by the Ramon y Cajal RYC-2019-027818-I research fellowship from the Ministerio de Ciencia e Innovación, Spain. Thanks are also given to the Spanish Ministry of Economy and Competitiveness (MINECO) and the European Regional Development Fund (FEDER) for funding the project AGL2013-49040-C2-1-R and to the Ministry of Science and Innovation from the Spanish Government for funding the AGL2017-89785-R, and to the European Regional Development Fund (FEDER) AGL2017-89785-R, and for providing the FPI grant PRE2018-084265 to AMF. This research was also supported by the COST Action CA17134 SENSECO (Optical synergies for spatiotemporal sensing of scalable ecophysiological traits) funded by COST (European Cooperation in Science and Technology, www.cost.eu accessed on 29 April 2022).<br />Postprint (published version)

Details

Database :
OAIster
Notes :
18 p., application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1331653536
Document Type :
Electronic Resource