Marco Schiavon

Dr. Marco Schiavon

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 August 2017 in Frontiers in Plant Science
Verified
Journal Article
Open access
JPJérôme Pouzoulet
Jérôme Pouzoulet
ESElia Scudiero
Elia Scudiero
MSMarco Schiavon
Marco Schiavon
PRPhilippe Rolshausen
Philippe Rolshausen
Fungal wilt diseases are a threat to global food safety. Previous studies in perennials crops showed that xylem vessel diameter affects disease susceptibility. We tested the hypothesis that xylem vessel diameter impacts occlusion processes and pathogen compartmentalization in Vitis vinifera L. We studied the interaction between four grape commercial cultivars with the vascular wilt pathogen Phaeomoniella chlamydospora. We used qPCR and wood necrotic lesion length to measure fungal colonization coupled with histological studies to assess differences in xylem morphology, pathogen compartmentalization, and fungal colonization strategy. We provided evidence that grape cultivar with wide xylem vessel diameter showed increased susceptibility to P. chlamydospora. The host response to pathogen included vessel occlusion with tyloses and gels, deposition of non-structural phenolic compounds and suberin in vessel walls and depletion of starch in parenchyma cells. Pathogen compartmentalization was less efficient in wide xylem vessels than in narrow diameter vessels. Large vessels displayed higher number of tyloses and gel pockets, which provided substrate for P. chlamydospora growth and routes to escape occluded vessels. We discuss in which capacity xylem vessel diameter is a key determinant of the compartmentalization process and in turn grape cultivar resistance to disease caused by P. chlamydospora.

1 September 2014 in Agronomy Journal
Verified
Journal Article
Open access
BLBernd Leinauer
Bernd Leinauer
DVDawn M. VanLeeuwen
Dawn M. VanLeeuwen
MSMatteo Serena
Matteo Serena
MSMarco Schiavon
Marco Schiavon
ESElena Sevostianova
Elena Sevostianova
The limitations of the conventional visual rating system used to assess turfgrass quality include its subjective nature and the need for properly trained observers who can discern differences among treatments or turfgrass varieties. The objective of our study was to investigate if digital image analysis (DIA) and spectral reflectance [normalized difference vegetative index (NDVI)] can be used to evaluate turfgrass varieties. Trials were established at New Mexico State University and visual quality ratings, digital images, and NDVI were collected monthly on three warm‐season and three cool‐season variety trials and on one cool‐season and one warm‐season mixed species trial. Correlations among quality, NDVI, dark green color index (DGCI) and percent green cover (PCov) were computed. Multiple regression was used to determine if combining NDVI and DIA improved the association between visual turfgrass quality and other variables. Quality was most strongly associated with NDVI (R2 ranging from 0.37 to 0.65) for most datasets. Additionally, multiple linear regressions identified NDVI as the variable affecting a higher change in R2 when entered to the model than either DGCI or PCov. Visual quality had a weaker association with sampling date than did NDVI or DGCI, which indicates that NDVI may track quality changes more reliably over time. However, a stronger association between variety and visual quality than between variety and NDVI or DGCI indicates that a visual assessment detects varietal differences better. Therefore, it is questionable whether visual assessments can be replaced by NDVI or DIA to characterize the aesthetic appeal of turfgrasses accurately.

1 November 2014 in Crop Science
Verified
Journal Article
Open access
MSMarco Schiavon
Marco Schiavon
BLBernd Leinauer
Bernd Leinauer
MSMatteo Serena
Matteo Serena
BMBernd Maier
Bernd Maier
RSRossana Sallenave
Rossana Sallenave

1 May 2012 in Agronomy Journal
Verified
Journal Article
Closed access
PDF file
MSMarco Schiavon
Marco Schiavon
BLBernd Leinauer
Bernd Leinauer
MSMatteo Serena
Matteo Serena
RSRossana Sallenave
Rossana Sallenave
BMBernd Maier
Bernd Maier

17 May 2019 in Tree Physiology
Verified
Journal Article
Closed access
JPJérôme Pouzoulet
Jérôme Pouzoulet
ESElia Scudiero
Elia Scudiero
MSMarco Schiavon
Marco Schiavon
LSLouis S Santiago
Louis S Santiago
PRPhilippe E Rolshausen
Philippe E Rolshausen
Morphological traits of the plant vascular system such as xylem vessel diameter have been implicated in many physiological processes including resistance to drought-induced xylem cavitation and vessel occlusion during infection with vascular wilt diseases. In both events, xylem vessels lose function because they become filled with air or tyloses and gels. Xylem cavitation has been well studied, whereas vessel occlusion remains purely descriptive even though it is a critical response to wounding injuries and compartmentalization of vascular pathogens. The timing of vessel occlusion is a key determinant to a successful compartmentalization of pathogens within the plant vascular system and we hypothesized that xylem vessel diameter is the driving variable. Using a dye injection method coupled with automated image analysis, we parameterized a model to investigate how xylem vessel diameter affects the speed of vessel occlusion in Vitis vinifera L. cv. Cabernet Sauvignon in response to wounding. Our dataset contains observations from 6,646 vessels at five kinetic points following stem pruning, over a time course of 1 week. Using this approach we provide evidence that the diameter of vessels is a key determinant of the timing of their occlusion. We discuss how these findings impact resistance to vascular wilt diseases in perennial woody hosts.

1 August 2017 in Plant Disease
Verified
Journal Article
Open access
JPJérôme Pouzoulet
Jérôme Pouzoulet
PRPhilippe E. Rolshausen
Philippe E. Rolshausen
MSMarco Schiavon
Marco Schiavon
SBSebastiaan Bol
Sebastiaan Bol
RTRenaud Travadon
Renaud Travadon
AJAlban Jacques
Alban Jacques
Trunk diseases are factors that limit sustainability of vineyards worldwide. Botryosphaeria and Eutypa diebacks are caused by several fungi belonging to the Botryosphaeriaceae and Diatrypaceae, respectively, with Diplodia seriata and Eutypa lata being two of the most common species. Previous information indicated that the traditional isolation method used to detect these pathogens from plant samples could underestimate their incidence levels. In the present study, we designed two sets of primers that target the β-tubulin gene and that are amenable for quantitative real-time PCR (qPCR) Sybr-Green assays for the detection and quantification of D. seriata-complex (DseCQF/R) and E. lata (ElQF/R) DNA. The design of a species-specific assay was achieved for E. lata. For D. seriata, a species-specific assay could not be designed. The low interspecific diversity across β-tubulin genes resulted in an assay that could not discriminate D. seriata from some closely related species either not yet reported or presenting a low prevalence on grapevine, such as D. intermedia. We validated our technique on grapevine spur samples naturally and artificially infected with D. seriata and E. lata during the dormant season. Experimental grapevines were located in two counties of northern California where the incidence of both pathogens was previously reported. The qPCR assays revealed that a high frequency of pruning wound infections (65%) was achieved naturally by E. lata, while low infection frequency (less than 5%) was observed using the reisolation method. For D. seriata-complex, low (5%) to no natural infection frequencies were observed by the qPCR and the reisolation method, respectively. These results also provided evidence that our qPCR detection methods were more sensitive to assess the incidence of E. lata and D. seriata-complex in plant samples, than traditional isolation techniques. Benefits of molecular methods for the detection of canker pathogens in the field under natural conditions are discussed.