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First assessment of Goidanich Index and aerobiological data for Plasmopara viticola infection risk management in north-west Spain

Published online by Cambridge University Press:  29 May 2019

M. Fernández-González ,
A. Piña-Rey ,
E. González-Fernández ,
M. J. Aira  and
F. J. Rodríguez-Rajo
M. Fernández-González
Affiliation:
Department of Plant Biology and Soil Sciences, Faculty of Sciences, University of Vigo, Ourense Campus, E-32004, Ourense, Spain
A. Piña-Rey
Affiliation:
Department of Plant Biology and Soil Sciences, Faculty of Sciences, University of Vigo, Ourense Campus, E-32004, Ourense, Spain
E. González-Fernández
Affiliation:
Department of Plant Biology and Soil Sciences, Faculty of Sciences, University of Vigo, Ourense Campus, E-32004, Ourense, Spain
M. J. Aira
Affiliation:
Department of Botany, Pharmacy Faculty, University of Santiago of Compostela, Santiago of Compostela, E-15782, Spain
F. J. Rodríguez-Rajo*
Affiliation:
Department of Plant Biology and Soil Sciences, Faculty of Sciences, University of Vigo, Ourense Campus, E-32004, Ourense, Spain
*
Author for correspondence: F. J. Rodríguez-Rajo, E-mail: javirajo@uvigo.es
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Abstract

The climate of north-western Spain, with high temperatures and relative humidity during the grapevine vegetative cycle, can especially favour the development of fungal diseases in vineyards. One of the most important diseases is downy mildew, caused by the fungus Plasmopara viticola. The aim of the current study is to propose a system containing phenological data, biological sensors of pathogen indicator and the agrometeorological Goidanich Index in order to optimize the application of downy mildew fungicide treatments. The study was conducted in a vineyard of the ‘Ribeiro’ Designation of Origin region from 2005 to 2016 during the Vitis vegetative period. Aerobiological sampling was performed using a LANZONI VPPS-2000 volumetric trap. The highest number of infection cycles was recorded during the 2009 harvest, with a total of 16 cycles. Years with fewer infection cycles were 2008, 2011 and 2012 (13 cycles). Primary infections were produced during the third fortnight of April and a high amount of secondary infection cycles were detected by the Goidanich algorithm during the fruit development and berry ripening stages. The best estimators of the P. viticola spore concentrations were the fungus spore levels during the previous day, the average temperature 5 days before and rainfall 2 days before. The regression equation obtained accounted for the 95.9% of the spore concentration variation. The combination of the Goidanich index and biological sensors provides a valuable tool to establish an accurate, modern, integrated downy mildew pest-management strategy.

Keywords

Goidanichgrapevineintegrated pest managementmodels
Type
Crops and Soils Research Paper
Information
The Journal of Agricultural Science , Volume 157 , Issue 2 , March 2019 , pp. 129 - 139
Copyright
Copyright © Cambridge University Press 2019 

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References

Baldacci, E (1947) Epifitie di Plasmopara viticola (1941–1946) nell'Oltrepo Pavese e adozione del calendario d'incubazione come strumento di lotta. Atti Istituto Botanico, Laboratorio Crittogamico Universitá Pavia 8, 45–85.Google Scholar
BBCH (Biologische Bundesanstallt für Land-und Forstwirtschaft) (1997) Growth Stages of Mono-and Dicotyledonous Plants: BBCH Monograph. Berlin, Germany: Blackwell Wissenschafts-Verlag.Google Scholar
Blanco-Ward, D, García Queijeiro, JM and Jones, GV (2007) Spatial climate variability and viticulture in the Miño River Valley of Spain. Vitis 46, 63–70.Google Scholar
Blouin, J (2007) Les Parasites de la Vigne: Stratégies de Protection Raisonnée. Paris, France: Éditions Dunod.Google Scholar
Bugiani, R, Govoni, P, Bottazzi, R, Giannico, P, Montini, B and Pozza, M (1995) Monitoring airborne concentrations of sporangia of Phytophthora infestans in relation to tomato late blight in Emilia Romagna, Italy. Aerobiologia 11, 41–46.Google Scholar
Caffi, T, Rossi, V, Giosué, S and Poni, S (2006) Effect of downy mildew infection on grape leaf photosynthesis. Journal of Plant Pathology 88, 141–158.Google Scholar
Caffi, T, Rossi, V, Bugiani, R, Spanna, F, Flamini, L, Cossu, A and Nigro, C (2009) Evaluation of a model predicting primary infections of Plasmopara viticola in different grapevine growing areas of Italy. Journal of Plant Pathology 91, 535–548.Google Scholar
Caffi, T, Gilardi, G, Monchiero, M and Rossi, V (2013) Production and release of asexual sporangia in Plasmopara viticola. Phytopathology 103, 64–73.Google Scholar
Caffi, T, Legler, SE, González-Domínguez, E and Rossi, V (2016) Effect of temperature and wetness duration on infection by Plasmopara viticola and post-inoculation efficacy of copper. European Journal of Plant Pathology 144, 737–750.Google Scholar
Calanca, P, Bolius, D, Weigel, AP and Liniger, MA (2011) Application of long-range weather forecasts to agricultural decision problems in Europe. Journal of Agricultural Science, Cambridge 149, 15–22.Google Scholar
Carisse, O (2016) Development of grape downy mildew (Plasmopara viticola) under northern viticulture conditions: influence of fall disease incidence. European Journal of Plant Pathology 144, 773–783.Google Scholar
Carisse, O, Savary, S and Willocquet, L (2008) Spatiotemporal relationships between disease development and airborne inoculum in unmanaged and managed Botrytis leaf blight epidemics. Phytopathology 98, 38–44.Google Scholar
Dalla Marta, A, Grifoni, D, Mancini, M, Storchi, P, Zipoli, G and Orlandini, S (2010) Analysis of the relationships between climate variability and grapevine phenology in the Nobile di Montepulciano wine production area. Journal of Agricultural Science, Cambridge 148, 657–666.Google Scholar
Díaz, MR (1999) Aplicación de la Aerobiología en la agricultura. Control de enfermedades fúngicas y producción de Vitis vinifera (PhD thesis). University of Vigo, Spain.Google Scholar
Eitzinger, J, Orlandini, S, Stefanski, R and Naylor, REL (2010) Climate change and agriculture: introductory editorial. Journal of Agricultural Science, Cambridge 148, 499–500.Google Scholar
Ellison, P, Ash, G and McDonald, C (1998) An expert system for the management of Botrytis cinerea in Australian vineyards. I. Development. Agricultural Systems 56, 185–207.Google Scholar
Fernández-González, M, Rodríguez-Rajo, FJ, Jato, V and Aira, MJ (2009) Incidence of fungals in a vineyard of the denomination of origin Ribeiro (Ourense-North-Western Spain). Annals of Agricultural and Environmental Medicine 16, 263–271.Google Scholar
Fernández-González, M, Escuredo, O, Rodríguez-Rajo, FJ, Aira, MJ and Jato, V (2011) Prediction of grape production by grapevine cultivar Godello in northwest Spain. Journal of Agricultural Science, Cambridge 149, 725–736.Google Scholar
Fernández-González, M, Rodríguez-Rajo, FJ, Escuredo, O and Aira, MJ (2013) Optimization of integrated pest management for powdery mildew (Unincula necator) control in a vineyard based on a combination of phenological, meteorological and aerobiological data. Journal of Agricultural Science, Cambridge 151, 648–658.Google Scholar
Fernández-González, M, Ramos-Valcárcel, D, Aira, MJ and Rodríguez-Rajo, FJ (2016) Prediction of biological sensors appearance with ARIMA models as a tool for Integrated Pest Management protocols. Annals of Agricultural and Environmental Medicine 23, 129–137.Google Scholar
Galán Soldevilla, C, Cariñanos González, P, Alcázar Teno, P and Domínguez-Vilches, E (2007) Spanish Aerobiology Network (REA): Management and Quality Manual. Córdoba, Spain: University of Córdoba Publication Service.Google Scholar
Gessler, C, Pertot, I and Perazzolli, M (2011) Plasmopara viticola a review of knowledge on downy mildew of grapevine and effective disease management. Phytopathologia Mediterranea 50, 3–44.Google Scholar
Gobbin, D, Pertot, I and Gessler, C (2003) Identification of microsatellite markers for Plasmopara viticola and establishment of high throughput method for SSR analysis. European Journal of Plant Pathology 109, 153–164.Google Scholar
Gobbin, D, Jermini, M, Loskill, B, Pertot, I, Raynal, M and Gessler, C (2005) Importance of secondary inoculum of Plasmopara viticola to epidemics of grapevine downy mildew. Plant Pathology 54, 522–534.Google Scholar
Goidanich, G, Casarini, B and Foschi, S (1957) Lotta antiperonosporica e calendario di incubazione. Giornale di Agricoltura 13, 11–14.Google Scholar
Hewitt, W and Pearson, R (1988) Downy mildew. In Pearson, RC and Goheen, A (eds), Compendium of Grape Diseases. St. Paul, Minnesota, USA: APS, pp. 11–13.Google Scholar
Hill, GK (2000) Simulation of P. viticola oospore-maturation with the model SIMPO. IOBC/WPRS Bulletin 23, 7–8.Google Scholar
Hirst, JM (1952) An automatic volumetric spore-trap. Annals of Applied Biology 39, 257–265.Google Scholar
Jeger, MJ (1984) Relating disease progress to cumulative numbers of trapped spores: Apple powdery mildew and scab epidemics in sprayed and unsprayed orchard plots. Plant Pathology 33, 517–523.Google Scholar
Kennelly, MM, Gadoury, DM, Wilcox, WF, Magarey, PA and Seem, RC (2007) Primary infection, lesion productivity, and survival of sporangia in the grapevine downy mildew pathogen Plasmopara viticola. Phytopathology 97, 512–522.Google Scholar
Kiefer, B, Riemann, M, Buche, C, Kassemeyer, HH and Nick, P (2002) The host guides morphogenesis and stomatal targeting in the grapevine pathogen Plasmopara viticola. Planta 215, 387–393.Google Scholar
Kocmánková, E, Trnka, M, Eitzinger, J, Dubrovský, M, Štepánek, P, Semerádová, D, Balek, J, Skalák, P, Farda, A, Juroch, J and Zalud, Z (2011) Estimating the impact of climate change on the occurrence of selected pests at a high spatial resolution: a novel approach. Journal of Agricultural Science, Cambridge 149, 185–195.Google Scholar
Köppen, W (1931) Grundiss der Klimakunde, 2nd Edn. Berlin, Germany: Walter de Gruyter & Co.Google Scholar
Lalancette, N, Ellis, MA and Madden, LV (1988) Development of an infection efficiency model for Plasmopara viticola on American grape based on temperature and duration of leaf wetness. Phytopathology 78, 794–800.Google Scholar
Laviola, C, Burruano, S and Strazzeri, S (1986) Influenza della temperatura sulla germinazione delle oospore di Plasmopara viticola (Berk. Et Curt.) Berl. et De Toni. Phytopathologia Mediterranea 25, 80–84.Google Scholar
Lorenz, DH, Eichorn, KW, Bleiholder, H, Klose, R, Meier, U and Weber, E (1994) Phänologische Entwicklungsstadien der Weinrebe (Vitis vinifera L. ssp. vinifera) – Codierung und Beschreibung nach der erweiterten BBCH-Skala. Viticultural and Enological Sciences 49, 66–70.Google Scholar
MAGRAMA (Ministerio de Agricultura, Alimentación y Medio Ambiente) (2015) ESYRCE, Encuesta sobre Superficies y Rendimientos de Cultivos: Informe sobre Regadíos en España. Madrid, Spain: MAGRAMA.Google Scholar
Meier, U (2001) Growth Stages of Mono and Dicotyledonous Plants. BBCH Monograph, 2nd Edn. Bonn, Germany: Federal Biological Research Centre for Agriculture and Forestry.Google Scholar
Menesatti, P, Antonucci, F, Costa, C, Mandalà, C, Battaglia, V and la Torre, A (2013) Multivariate forecasting model to optimize management of grape downy mildew control. Vitis 52, 141–148.Google Scholar
OIV (Organisation Internationale de la Vigne et du Vin) (2015) World Vitiviniculture Situation. OIV Statistical Report on World Vitiviniculture. Paris, France: OIV.Google Scholar
Park, EW, Seem, RC, Gadoury, DM and Pearson, RC (1997) DMCAST: a prediction model for grape downy mildew development. Viticulture and Enology Science 52, 182–189.Google Scholar
Pedrazzini, A, Sordi, D, Toffolatti, SL, Venturini, G and Vercesi, A (2011) Model based strategy against Plasmopara viticola in Lombardia. In Šegvić Klarić, M and Jelić, D (eds), Power of Fungi and Mycotoxins in Health and Disease. Zagreb, Croatia: Croatian Microbiological Society, pp. 101–101.Google Scholar
Rosa, M, Gozzini, B, Orlandini, S and Seghi, L (1995) A computer program to improve the control of grapevine downy mildew. Computers and Electronics in Agriculture 12, 311–322.Google Scholar
Rossi, V and Caffi, T (2012) The role of rain in dispersal of the primary inoculum of Plasmopara viticola. Phytopathology 102, 158–165.Google Scholar
Rossi, V, Caffi, T, Bugiani, R, Spanna, F and Della Valle, D (2008a) Estimating the germination dynamics of Plasmopara viticola oospores using hydro-thermal time. Plant Pathology 57, 216–226.Google Scholar
Rossi, V, Caffi, T, Giosuè, S and Bugiani, R (2008b) A mechanistic model simulating primary infections of downy mildew in grapevine. Ecological Modelling 212, 480–491.Google Scholar
Rossi, V, Caffi, T and Gobbin, D (2013) Contribution of molecular studies to botanical epidemiology and disease modelling: grapevine downy mildew as a case-study. European Journal of Plant Pathology 135, 641–654.Google Scholar
Rumbolz, J, Wirtz, S, Kassemeyer, HH, Guggenheim, R, Schäfer, E and Büche, C (2002) Sporulation of Plasmopara viticola: differentiation and light regulation. Plant Biology 4, 413–422.Google Scholar
Rumbou, A and Gessler, C (2004) Genetic dissection of Plasmopara viticola population from a Greek vineyard in two consecutive years. European Journal of Plant Pathology 110, 379–392.Google Scholar
Salinari, F, Giosué, S, Tubiello, FN, Rettori, A, Rossi, A, Spanna, F, Rosenzweig, C and Gullino, ML (2006) Downey mildew (Plasmopara viticola) epidemics on grapevine under climate change. Global Change Biology 12, 1299–1307.Google Scholar
Schwinn, FJ (1981) Chemical control of downy mildews. In Spencer, DM (ed.), The Downy Mildews. London, UK: Academic Press, pp. 305–319.Google Scholar
Seem, RC, Magarey, PA, McCloud, PI and Wachtel, MF (1985) A sampling procedure to detect grapevine downy mildew. Phytopathology 75, 1252–1257.Google Scholar
Unger, S, Büche, C, Boso, S and Kassemeyer, HH (2007) The course of colonization of two different Vitis genotypes by Plasmopara viticola indicates compatible and incompatible host-pathogen interactions. Phytopathology 97, 780–786.Google Scholar
Viret, O and Siegfried, W (1996) Fiche technique sur les maladies de la vigne: mildiou. Revue Suisse de Viticulture Arboriculture Horticulture 28, 373–374.Google Scholar
Walters, DR and Fountaine, JM (2009) Practical application of induced resistance to plant diseases: an appraisal of effectiveness under field conditions. Journal of Agricultural Science, Cambridge 147, 523–535.Google Scholar