Comparison of Proximal Remote Sensing Devices of Vegetable Crops to Determine the Role of Grafting in Plant Resistance to Meloidogyne incognita

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 flavonoids content and the CSI index were robust indicators of root-knot nematode impacts across multiple crop types.

[1]  P. Loza-Álvarez,et al.  Tomato and Melon Meloidogyne Resistant Rootstocks Improve Crop Yield but Melon Fruit Quality Is Influenced by the Cropping Season , 2020, Frontiers in Plant Science.

[2]  M. Abd-Elgawad.  Biological control agents in the integrated nematode management of potato in Egypt , 2020 .

[3]  Shi-rong Guo,et al.  Bitter Melon (Momordica charantia L.) Rootstock Improves the Heat Tolerance of Cucumber by Regulating Photosynthetic and Antioxidant Defense Pathways , 2020, Plants.

[4]  Miguel Izam.  United Nations Economic Commission for Europe (UNECE) , 2020, Agreement on the International Carriage of Perishable Foodstuffs and on the Special Equipment to be Used for such Carriage (ATP).

[5]  Ming-Der Yang,et al.  Semantic Segmentation Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images , 2020, Remote. Sens..

[6]  Yong He,et al.  Hyperspectral imaging combined with machine learning as a tool to obtain high-throughput plant salt-stress phenotyping. , 2019, The Plant journal : for cell and molecular biology.

[7]  N. Escudero,et al.  Cucumis metuliferus reduces Meloidogyne incognita virulence against the Mi1.2 resistance gene in a tomato-melon rotation sequence. , 2019, Pest management science.

[8]  Jose Armando Fernandez-Gallego,et al.  UAV and Ground Image-Based Phenotyping: A Proof of Concept with Durum Wheat , 2019, Remote. Sens..

[9]  Comparison of Proximal Remote Sensing Devices for Estimating Physiological Responses of Eggplants to Root-Knot Nematodes , 2019, Proceedings.

[10]  J. Araus,et al.  Breeding to adapt agriculture to climate change: affordable phenotyping solutions. , 2018, Current opinion in plant biology.

[11]  B. Picó,et al.  Cucumis metuliferus is resistant to root‐knot nematode Mi1.2 gene (a)virulent isolates and a promising melon rootstock , 2018 .

[12]  J. Araus,et al.  Wheat ear counting in-field conditions: high throughput and low-cost approach using RGB images , 2018, Plant Methods.

[13]  L. Serrano,et al.  Population dynamics of Meloidogyne incognita on cucumber grafted onto the Cucurbita hybrid RS841 or ungrafted and yield losses under protected cultivation , 2017, European Journal of Plant Pathology.

[14]  P. Zarco-Tejada,et al.  A Novel Remote Sensing Approach for Prediction of Maize Yield Under Different Conditions of Nitrogen Fertilization , 2016, Front. Plant Sci..

[15]  P. Zarco-Tejada,et al.  Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize , 2015, Plant Methods.

[16]  Sébastien Debuisson,et al.  Nondestructive diagnostic test for nitrogen nutrition of grapevine (Vitis vinifera L.) based on dualex leaf-clip measurements in the field. , 2015, Journal of agricultural and food chemistry.

[17]  G. Smant,et al.  The activation and suppression of plant innate immunity by parasitic nematodes. , 2014, Annual review of phytopathology.

[18]  D. W. Dickson,et al.  Root-knot Nematode Resistance, Yield, and Fruit Quality of Specialty Melons Grafted onto Cucumis metulifer , 2014 .

[19]  J. Araus,et al.  Field high-throughput phenotyping: the new crop breeding frontier. , 2014, Trends in plant science.

[20]  S. Yousfi,et al.  Comparative response of δ13C, δ18O and δ15N in durum wheat exposed to salinity at the vegetative and reproductive stages. , 2013, Plant, cell & environment.

[21]  Craig S. T. Daughtry,et al.  A visible band index for remote sensing leaf chlorophyll content at the canopy scale , 2013, Int. J. Appl. Earth Obs. Geoinformation.

[22]  T. Sinclair,et al.  Nitrogen and water resources commonly limit crop yield increases, not necessarily plant genetics , 2012 .

[23]  S. Munné-Bosch,et al.  The Impact of Global Change Factors on Redox Signaling Underpinning Stress Tolerance1[W] , 2012, Plant Physiology.

[24]  Gwendal Latouche,et al.  A new optical leaf-clip meter for simultaneous non-destructive assessment of leaf chlorophyll and epidermal flavonoids , 2012, Physiologia plantarum.

[25]  C. Djian-Caporalino.  Root‐knot nematodes (Meloidogyne spp.), a growing problem in French vegetable crops , 2012 .

[26]  Paul C. Doraiswamy,et al.  Changes of crop rotation in Iowa determined from the United States Department of Agriculture, National Agricultural Statistics Service cropland data layer product , 2012 .

[27]  C. Daughtry,et al.  Remote Sensing Leaf Chlorophyll Content Using a Visible Band Index , 2011 .

[28]  J. Araus,et al.  Dual Δ¹³C/δ¹⁸O response to water and nitrogen availability and its relationship with yield in field-grown durum wheat. , 2011, Plant, cell & environment.

[29]  Patrick Hostert,et al.  Hyperspectral Algorithms: Report in the frame of EnMAP preparation activities , 2010 .

[30]  C. Rivard,et al.  Grafting to Manage Soilborne Diseases in Heirloom Tomato Production , 2008 .

[31]  John T Jones,et al.  Parasitism genes and host range disparities in biotrophic nematodes: the conundrum of polyphagy versus specialisation , 2008, BioEssays : news and reviews in molecular, cellular and developmental biology.

[32]  B. Tabashnik,et al.  Synergism between entomopathogenic nematodes and Bacillus thuringiensis crops: integrating biological control and resistance management , 2007 .

[33]  J. L. Araus,et al.  Using vegetation indices derived from conventional digital cameras as selection criteria for wheat breeding in water-limited environments , 2007 .

[34]  Nisha,et al.  Bio-Management of Meloidogyne incognita on Coleus, Solenostemon rotundifolius by Integrating Solarization, Paecilomyces lilacinus, Bacillus macerans and Neemcake , 2006 .

[35]  A. Ploeg,et al.  Use of Cucumis metuliferus as a Rootstock for Melon to Manage Meloidogyne incognita. , 2005, Journal of nematology.

[36]  C. Daughtry,et al.  Evaluation of Digital Photography from Model Aircraft for Remote Sensing of Crop Biomass and Nitrogen Status , 2005, Precision Agriculture.

[37]  L. Rossato,et al.  Dynamics of nitrogen uptake and mobilization in field-grown winter oilseed rape (Brassica napus) from stem extension to harvest: I. Global N flows between vegetative and reproductive tissues in relation to leaf fall and their residual N. , 2005, Annals of botany.

[38]  F. Bletsos.  Use of Grafting and Calcium Cyanamide as Alternatives to Methyl Bromide Soil Fumigation and their Effects on Growth, Yield, Quality and Fusarium Wilt Control in Melon , 2005 .

[39]  A. Haverkort,et al.  The influence of cyst nematodes and drought on potato growth , 1994, European Journal of Plant Pathology.

[40]  A. Haverkort,et al.  The influence of cyst nematodes and drought on potato growth. 3. Effects on carbon isotope fractionation , 2005, Netherlands Journal of Plant Pathology.

[41]  R. Gates,et al.  Measuring Relative Humidity in Agricultural Environments , 2005 .

[42]  V. Cebolla,et al.  The grafting of triploid watermelon is an advantageous alternative to soil fumigation by methyl bromide for control of Fusarium wilt , 2004 .

[43]  A. Condon,et al.  Breeding for high water-use efficiency. , 2004, Journal of experimental botany.

[44]  H. Ssali,et al.  Spatial distribution of roots, nematode populations and root necrosis in highland banana in Uganda , 2004 .

[45]  F. Sorribas,et al.  Effectiveness and profitability of the Mi-resistant tomatoes to control root-knot nematodes , 2004, European Journal of Plant Pathology.

[46]  L. Rossato,et al.  Nitrogen storage and remobilization in Brassica napus L. during the growth cycle: effects of methyl jasmonate on nitrate uptake, senescence, growth, and VSP accumulation. , 2002, Journal of experimental botany.

[47]  R. D. Evans,et al.  Physiological mechanisms influencing plant nitrogen isotope composition. , 2001, Trends in plant science.

[48]  J. O. Becker,et al.  Survey of crop losses in response to phytoparasitic nematodes in the United States for 1994. , 1999, Journal of nematology.

[49]  B. Peterson,et al.  STABLE ISOTOPES IN ECOSYSTEM STUDIES , 1987 .