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Identification and evaluation of the main risk periods of Botrytis cinerea infection on grapevine based on phenology, weather conditions and airborne conidia

Published online by Cambridge University Press:  08 May 2020

E. González-Fernández ,
A. Piña-Rey ,
M. Fernández-González Open the ORCID record for M. Fernández-González [Opens in a new window] ,
M. J. Aira  and
F. J. Rodríguez-Rajo
E. González-Fernández
Affiliation:
Department of Plant Biology and Soil Sciences, University of Vigo, Vigo, Spain CITACA, Agri-Food Research and Transfer Cluster, Campus da Auga, University of Vigo, 32004-Ourense, Spain
A. Piña-Rey
Affiliation:
Department of Plant Biology and Soil Sciences, University of Vigo, Vigo, Spain CITACA, Agri-Food Research and Transfer Cluster, Campus da Auga, University of Vigo, 32004-Ourense, Spain
M. Fernández-González*
Affiliation:
Department of Plant Biology and Soil Sciences, University of Vigo, Vigo, Spain CITACA, Agri-Food Research and Transfer Cluster, Campus da Auga, University of Vigo, 32004-Ourense, Spain Earth Sciences Institute (ICT), Pole of the Faculty of Sciences University of Porto, Porto, Portugal
M. J. Aira
Affiliation:
Department of Biology, University of Santiago de Compostela, Santiago de Compostela, Spain
F. J. Rodríguez-Rajo
Affiliation:
Department of Plant Biology and Soil Sciences, University of Vigo, Vigo, Spain CITACA, Agri-Food Research and Transfer Cluster, Campus da Auga, University of Vigo, 32004-Ourense, Spain
*
Author for correspondence: M. Fernández-González, E-mail: [email protected]
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Abstract

In the present study, a new method for a decision-support system for fungicide administration against the pathogen Botrytis cinerea in vineyards was developed based on Integrated Pest Management principles which identified an infection risk before the appearance of disease symptoms. The proposed method is based on the combination of (i) the phenological observations of the main susceptible stages to infection, (ii) the airborne spores monitoring, (iii) the forecasting of the suitable meteorological conditions for B. cinerea spore germination during the subsequent 4–6 days after the spore detection. Aerobiological, phenological and meteorological analyses were carried out using data from 2008 to 2015 in a vineyard of Northwestern Spain. Aerobiological spore data were obtained using a Lanzoni VPPS-2000 pollen-spore trap. Phenological observations were conducted on 22 plants of Treixadura cultivar following the BBCH (Biologische Bundesanstalt für Land und Forstwirtschaft, Bundessortenamt und CHemische Industrie) scale. The Magarey generic fungal model was applied for the identification of the main meteorological suitable periods for infection within the susceptible phenological stages of flowering and ripening of berries. Our results showed that climatic conditions favoured fungal development during flowering, although a higher incidence of B. cinerea infection risk-periods occurred during the prior-to-harvest stage of ripening of berries, the most susceptible phenological stage to B. cinerea infection obtained by the proposed methodology. This approach enables more precise targeting in pesticide spraying and reduction in pesticide application from 4–5 to 2–3 times per year at our commercial study. It also illustrates the real-world benefits of integrated disease risk modelling.

Keywords

Botrytis cinereafungicide reductionIntegrated Pest Managementspore thresholdrisk periodsVitis vinifera
Type
Crops and Soils Research Paper
Information
The Journal of Agricultural Science , Volume 158 , Issue 1-2 , March 2020 , pp. 88 - 98
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Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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References

Agrios, GN (2005) Plant Pathology, 5th Edn.San Diego, CA, USA: Elsevier-Academic Press.Google Scholar
Barzman, M, Bàrberi, P, Birch, ANE, Boonekamp, P, Dachbrodt-Saaydeh, S, Graf, B, Hommel, B, Jensen, JE, Kiss, J, Kudsk, P, Lamichhane, JR, Messéan, A, Moonen, AC, Ratnadass, A, Ricci, P, Sarah, JL and Sattin, M (2015) Eight principles of integrated pest management. Agronomy for Sustainable Development 35, 1199–1215.CrossRefGoogle Scholar
Blanco-Ward, D, Garcia, JM and Jones, GV (2007) Spatial climate variability and viticulture in the Miño River Valley of Spain. Vitis 46, 63–70.Google Scholar
Bregaglio, S, Donatelli, M and Confalonieri, R (2013) Fungal infections of rice, wheat, and grape in Europe in 2030–2050. Agronomy for Sustainable Development 33, 767–776.CrossRefGoogle Scholar
Broome, JC, English, JT, Marois, JJ, Latorre, BA and Aviles, JC (1995) Development of an infection model for Botrytis bunch rot of grape based on wetness duration and temperature. Phytopathology 85, 97–102.CrossRefGoogle 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.CrossRefGoogle Scholar
Bulit, J and Dubos, B (1988) Botrytis bunch rot and blight. In Pearson, RC and Goheen, AC (eds), Compendium of Grapes Diseases. The American Phytopathological Society, St. Paul, Minnesota, USA: APS Press, pp. 13–15.Google Scholar
Carisse, O and Van der Heyden, H (2015) Relationship of airborne Botrytis cinerea Conidium concentration to tomato flower and stem infections: a threshold for de-leafing operations. Plant Disease 99, 137–142.CrossRefGoogle ScholarPubMed
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.CrossRefGoogle ScholarPubMed
Carmichael, PC, Siyoum, N, Jongman, M and Korsten, L (2018) Prevalence of Botrytis cinerea at different phenological stages of table grapes grown in the northern region of South Africa. Scientia Horticulturae 239, 57–63.CrossRefGoogle Scholar
Ciliberti, N, Fermaud, M, Languasco, L and Rossi, V (2015) Influence of fungal strain, temperature, and wetness duration on infection of grapevine inflorescences and young berry clusters by Botrytis cinerea. Phytopathology 105, 325–333.CrossRefGoogle Scholar
Ciliberti, N, Fermaud, M, Roudet, J, Languasco, L and Rossi, V (2016) Environmental effects on the production of Botrytis cinerea Conidia on different media, grape bunch trash, and mature berries. Australian Journal of Grape and Wine Research 22, 262–270.CrossRefGoogle 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 148, 657–666.CrossRefGoogle Scholar
De Wolf, E and Isard, A (2007) Disease cycle approach to plant disease prediction. Annual Review of Phytopathology 45, 203–220.CrossRefGoogle ScholarPubMed
English, JT, Thomas, CS, Marois, JJ and Gubler, WD (1989) Microclimates of grapevine canopies associated with leaf removal and control of Botrytis bunch rot. Phytopathology 79, 395–401.CrossRefGoogle Scholar
Esterio, M, Auger, J, Droguett, A and Arroyo, A (1996) Effectiveness of biological integrated and traditional control programs of Botrytis cinerea in table grape in the Central Valley of Chile. Proceedings of the XIth International Botrytis Symposium, 23–28 June 1996. Wageningen, The Netherlands. p. 73.Google Scholar
Esterio, M, Muñoz, G, Ramos, C, Cofré, G, Estévez, R, Salinas, A and Auger, J (2011) Characterization of Botrytis cinerea isolates present in Thompson Seedless table grapes in the Central Valley of Chile. Plant Disease 95, 683–690.CrossRefGoogle 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, Rodríguez-Rajo, FJ, Jato, V, Aira, MJ, Ribeiro, H, Oliveira, M and Abreu, I (2012) Forecasting ARIMA models for atmospheric vineyard pathogens in Galicia and Northern Portugal: Botrytis cinerea spores. Annals of Agricultural and Environmental Medicine 19, 255–262.Google ScholarPubMed
Frenguelli, G (2001) Interactions between climatic changes and allergenic plants. In Moscato, G (ed.), Environment and Allergy. Proceedings of the Gemma Gherson Symposium; 5–6 October 2001; Pavia, Italy. Pavia: IRCCS CLR Fondazione Salvatore Maugeri, pp. 141–143. Monaldi Archives for Chest Disease, 57.Google Scholar
Galán, C, Cariñanos, P, Alcázar, P and Domínguez, E (2007) Spanish Aerobiology Network (REA): Management and Quality Manual. Córdoba, Spain: University of Córdoba Publication Service.Google Scholar
Galán, C, Ariatti, A, Bonini, M, Clot, B, Crouzy, B, Dahl, A, Fernandez-González, D, Frenguelli, G, Gehrig, R, Isard, S, Levetin, E, Li, DW, Mandrioli, P, Rogers, C, Thibaudon, M, Sauliene, I, Skjoth, C, Smith, M and Sofiev, M (2017) Recommended terminology for aerobiological studies. Aerobiologia 33, 293–295.CrossRefGoogle Scholar
Hatmi, S, Villaume, S, Trotel-Aziz, P, Barka, EA, Clément, C and Aziz, A (2018) Osmotic stress and ABA affect immune response and susceptibility of grapevine berries to gray mold by priming polyamine accumulation. Frontiers in Plant Science 9, 1010, 10.3389/fpls.2018.01010.CrossRefGoogle ScholarPubMed
Hirst, JM (1952) An automatic volumetric spore-trap. Annals of Applied Biology 36, 257–265.CrossRefGoogle Scholar
Holz, G, Coertze, S and Basson, EJ (1997) Latent infection of Botrytis cinerea in grape pedicels leads to postharvest decay. Phytopathology 87(suppl.), S43.Google Scholar
Holz, G, Coertze, S and Williamson, B (2007) The ecology of Botrytis on plant surfaces. In Elad, Y, Williamson, B, Tudzynski, P and Delen, N (eds), Botrytis: Biology, Pathology and Control. Dordrecht, The Netherlands: Springer, pp. 9–28.CrossRefGoogle 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.CrossRefGoogle Scholar
Kretschmer, M, Kassemeyer, H and Hahn, M (1994) Age-dependent grey mould susceptibility and tissue-specific deference gene activation of grape vine berry skins after infection by Botrytis cinerea. American Journal of Enology and Viticulture 45, 133–140.Google Scholar
Lamichhane, JR, Barzman, M, Booij, K, Boonekamp, P, Desneux, N, Huber, L, Kudsk, P, Langrell, SRH, Ratnadass, A, Ricci, P, Sarah, JL and Messéan, A (2015) Robust cropping systems to tackle pests under climate change. A review. Agronomy for Sustainable Development 35, 443–459.CrossRefGoogle Scholar
Latorre, BA (1986) Manejo de Botrytis cinerea En uva de mesa. Revista Frutícola 7, 75–88.Google Scholar
Lorenz, DH, Eichhorn, KW, Blei-holder, H, Klose, R, Meier, U and Weber, E (1994) Phanologische Entwicklungsstadien der Weinrebe (Vitis vinifera L. ssp. vinifera). Viticulture and Enology Science 49, 66–70.Google Scholar
Madden, LV, Ellis, MA, Lalancette, N, Hughes, G and Wilson, LL (2000) Evaluation of a disease warning system for downy mildew of grapes. Plant Disease 84, 549–554.CrossRefGoogle Scholar
Magarey, RD, Sutton, TB and Thayer, CL (2005) A simple generic infection model for foliar fungal plant pathogens. Phytopathology 95, 92–100.CrossRefGoogle ScholarPubMed
Manter, DK, Reeser, PW and Stone, JK (2005) A climate-based model for predicting geographic variation in Swiss needle cast severity in the Oregon Coast Range. Phytopathology 95, 1256–1265.CrossRefGoogle ScholarPubMed
Martínez-Bracero, M, Alcázar, P, Velasco-Jiménez, MJ and Galán, C (2018) Fungal spores affecting vineyards in Montilla-Moriles Southern Spain. European Journal of Plant Pathology 153, 1–13. doi: 10.1007/s10658-018-1532-6.CrossRefGoogle Scholar
McClellan, WD and Hewitt, WB (1973) Early Botrytis rot of grapes: time of infection and latency of Botrytis cinerea Pers. in Vitis vinifera L. Phytopathology 63, 1151–1157.CrossRefGoogle Scholar
Meier, U (2001) Growth Stages of Mono and Dicotyledonous Plants. The extended BBCH-scale. BBCH Monograph. 2nd Edn.Germany: Federal Biological Research Centre for Agriculture and Forestry.Google Scholar
MeteoGalicia (2018) Galician Institute for Meteorology and Oceanography, Santiago de Compostela, Spain. Environment, Territory and Infrastructure Department of Galician Regional Government. Available at http://www.meteogalicia.gal/web/index.action.Google Scholar
Moreno-Grau, S, Aira, MJ, Elvira-Rendueles, B, Fernández-González, M, Fernández-González, D, García-Sánchez, A, Martínez-García, MJ, Moreno, JM, Negral, L, Vara, A and Rodríguez-Rajo, FJ (2016) Assessment of Olea pollen and its major allergen Ole e 1 concentrations in the bioaerosol of two biogeographical areas. Atmospheric Environment 145, 264–271.CrossRefGoogle Scholar
Nair, NG and Allen, RN (1993) Infection of grape flowers and berries by Botrytis cinerea as a function of time and temperature. Mycological Research 97, 1012–1014.CrossRefGoogle Scholar
Oliveira, M, Guerner-Moreira, J, Mesquita, MM and Abreu, I (2009) Important phytopathogenic airborne fungal spores in a rural area: incidence of Botrytis cinerea and Oidium spp. Annals of Agricultural and Environmental Medicine 16, 197–204.Google Scholar
Paul, PA and Munkvold, GP (2005) Regression and artificial neural network modeling for the prediction of gray leaf spot of maize. Phytopathology 95, 388–396.CrossRefGoogle ScholarPubMed
Rodríguez-Rajo, FJ, Jato, V, Fernández-González, M and Aira, MJ (2010) The use of aerobiological methods for forecasting Botrytis spore concentrations in a vineyard. Grana 49, 56–65.CrossRefGoogle 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.CrossRefGoogle Scholar
Rossi, V and Giosuè, S (2003) A dynamic simulation model for powdery mildew epidemics on winter wheat. European and Mediterranean Plant Protection Organization Bulletin 33, 389–396.Google Scholar
Rossi, V, Giosuè, S, Pattori, E, Spanna, F and Del Vecchio, A (2003) A model estimating the risk of Fusarium head blight on wheat. European and Mediterranean Plant Protection Organization Bulletin 33, 421–425.Google Scholar
SIXPAC (2018) Sistema de Información Geográfica de Parcelas Agrícolas. Official reference database for agriculture area identification, of Agriculture, Fishing and Feeding Ministry. Spanish Government. Available at https://www.mapa.gob.es/es/agricultura/temas/sistema-de-informacion-geografica-de-parcelas-agricolas-sigpac-/default.aspx.Google Scholar
Stevens, RB (1960) Cultural practices in disease control. In Horsfall JG and Dimond AE (eds), Plant pathology: an advanced treatise, Volume 3. NY, USA: Academic Press, pp. 357–429.CrossRefGoogle Scholar
Twengström, E, Sigvald, R, Svensson, C and Yuen, J (1998) Forecasting Sclerotinia stem rot in spring sown oilseed rape. Crop Protection 17, 405–411.CrossRefGoogle Scholar
Wolf, TK, Baudin, ABAM and Martínez-Ochoa, N (1997) Effect of floral debris removal from fruit clusters on Botrytis bunch rot of Chardonnay grapes. Vitis 36, 27–33.Google Scholar