Identifying the pedoclimatic conditions most critical in the susceptibility of cultivar Gamaret to Esca disease Sourced from the research article: “Identifying the pedoclimatic conditions most critical in the susceptibility of a grapevine cultivar to Esca disease” (OENO One, 2025). Original language of the article: English.
To understand the highly variable susceptibility of the Gamaret cultivar to Esca disease, we carried out a four-year study to identify the environmental factors (climate, plant physiology, and soil) that most strongly influence disease expression. Soil water-holding capacity was found to have the strongest impact on Esca incidence, with higher rainfall in early summer also responsible for an increase in foliar symptoms. This research provides a valuable model for identifying environmental drivers of Esca symptom expression in other grapevine cultivars.
Materials and Methods
The study was carried out across 19 vineyards in four regions of western Switzerland (Figure 1A). To minimise confounding factors related to cultivar variability, vine age, and pruning method, all vineyard plots were uniformly planted in 2003 with Vitis vinifera L. cv Gamaret (a cross between Gamay x Reichensteiner) grafted on 3309C rootstock. All plants were grafted in the same nursery using homogeneous material and trained using the simple Guyot pruning system.
Cumulated plant mortality data gathered before the experiment (2003-2017) appeared highly variable (Figure 1B), ranging from 0 % to 48 % depending on the vineyard plots. Based on this variability, the Gamaret cultivar was selected as an ideal model for investigating the influence of biotic and abiotic factors on Esca incidence. Over four consecutive years (2018-2021), when Esca symptoms were most visible (late August to early September), about 300 vines per vineyard plot were examined for the presence of Esca symptoms, totalling 5,700 plants across the entire vineyard network. Symptom severity was classified into five categories: 1) asymptomatic plants (no discernible symptoms), 2) weak foliar symptoms (a single symptomatic shoot), 3) medium foliar symptoms (> one symptomatic shoot), 4) severe foliar symptoms (shoots all displaying symptoms), and 5) apoplexy. The proportion of affected plants per plot was determined annually, based on the number of vines originally planted in 2003 and still present during the year of observation.
Climatic data (rainfall and temperature) were obtained for sites representative of each of the four wine-growing regions under study from https://www.meteoswiss.admin.ch/. Data from previous years (1990-2017) were also collected to establish a climate norm for comparative analysis.
To estimate the soil water holding capacity (SWHC) of each plot, a hole was dug between vine rows. In most plots (n=15), the hole measured 1.5 m deep x 1 m wide, while in plots where vine roots extended more deeply (n=4), holes were excavated to 2 m depth without reaching bedrock. SWHC was calculated for each plot following the method described by Letessier and Fermond
Additional physiological and agronomical data were collected, including vine water status, carbon isotope composition in berries at harvest, foliar nutrient content (nitrogen, potassium, phosphorous, calcium and magnesium), berry weight, and cover cropping practices.
![Figure 1. A Map of the Gamaret vineyards monitored across western Switzerland. B Cumulative replacement rate [ % of plants] from vineyard plantation in 2003 through 2017 across the study plot network.](https://ives-technicalreviews.eu/article/download/9748/version/13360/50156/154779/image1.jpeg)
Figure 1. A Map of the Gamaret vineyards monitored across western Switzerland. B Cumulative replacement rate [ % of plants] from vineyard plantation in 2003 through 2017 across the study plot network.
Results
This publication is an abridged version of an article published in OENO One
Sites | Region | Soil types | % Cover cropping | SWHC (mm) | SWHC category |
Founex | Lake of Geneva | Gravelly moraines | 70 | 155 | Medium |
Changins | Lake of Geneva | Bottom moraines | 70 | 110 | Medium |
Begnins | Lake of Geneva | Bottom moraines | 70 | 130 | Medium |
Perroy | Lake of Geneva | Bottom moraines | 70 | 155 | High |
Morges | Lake of Geneva | Bottom moraines | 70 | 240 | High |
Echichens A | Lake of Geneva | Bottom moraines | 70 | 230 | High |
Echichens B | Lake of Geneva | Bottom moraines | 70 | 230 | High |
Villette | Lake of Geneva | Marly sandstones | 70 | 250 | High |
Blonay | Lake of Geneva | Marly sandstones | 70 | 200 | High |
Onnens | Lake of Neuchâtel | Jurassic sandy stones | 70 | 120 | Medium |
Champagne | Lake of Neuchâtel | Jurassic sandy stones | 60 | 95 | Low |
Concise | Lake of Neuchâtel | Jurassic sandy stones | 70 | 180 | High |
Villeneuve | Chablais | Gravelly moraines | 70 | 90 | Low |
Yvorne | Chablais | Gravelly moraines | 50 | 100 | Low |
Aigle | Chablais | Gravelly moraines | 50 | 80 | Low |
Produit | Valais | Clay schists | 0 | 160 | High |
Leytron | Valais | Stony moraines | 0 | 100 | Low |
Nax1 | Valais | Stony moraines | 0 | 90 | Low |
Nax2 | Valais | Colluvial/stony moraines | 0 | 140 | Medium |
Our PCA results (not shown here; see Monod et al., 2025
Additionally, we computed the Pearson and ξ-correlation (package available in R

Figure 2. Linear regression between total mortality rate by vineyard plot (from 2003-2021) and soil water holding capacity (SWHC) index for each plot.

Figure 3. Correlation coefficient matrix with variables most correlated with the Esca incidence indices: number of plants with foliar symptoms (FS_sum), number of plants with apoplectic symptoms (apoplexy), number of plants affected by Esca (FS_sum + apoplexy). The size of the dot reflects the strength of the correlation. A. Variables with the highest correlation rate with the Esca incidence indices according to Pearson correlation coefficient. B. Variables most correlated with the Esca incidence indices according to ξ-correlation coefficient.
Discussion
Our main objective was to investigate associations between a range of pedoclimatic factors and the prevalence of Esca disease across different viticultural regions, to identify those that might explain Gamaret's highly variable susceptibility to Esca disease. To achieve this, we carried out Esca annual epidemiological measurements, closely monitored various physiological indicators across all vineyard plots, and gathered soil characteristics and climatic conditions.
Over four years of monitoring, we observed annual variations in Esca incidence between and within bio-climatic regions. This variability in disease expression within a single grapevine cultivar suggests that specific abiotic factors may influence disease incidence, as has previously been proposed
Our principal component analysis (2) showed an association between Esca incidence and SWHC. To further investigate this relationship, we performed a linear regression analysis across the entire vineyard network, using mortality data collected for each plot over an 18-year period (Figure 2). This analysis showed that Chablais, in which the studied vineyard plots all had low SWHC, also had the lowest plant mortality rate (Table 1; Figures 1 and 2), while in the Lake Geneva region, where vineyard plots were planted in soils with medium to high SWHC, the mortality rate was highest. Furthermore, in the Valais and Lake Neuchâtel regions, where vineyard plots were planted in soils with heterogeneous SWHC, the highest mortality rates were observed for plots planted in soils with the highest SWHC. Our results confirm an association between SWHC and plant mortality, both between and within regions, which is in line with recent studies
Acknowledgments: We thank Josep Massana-Codina, Regula Woltz Gysi and Florian Freimoser for the translations of the paper in Spanish, Italian and German respectively.

Notes
- 1. Letessier I & Fermond C (2004). Étude des terroirs viticoles vaudois (Suisse), Géo-pédologie. Zone pilote de La Côte : Appellations Bursinel, Vinzel, Luins et Begnins. Rapports SIGALES. https://www.vd.ch/fileadmin/user_upload/themes/environnement/sol/fichiers_pdf/Cartographie_des_sols_viticoles_-_article_Agroscope.pdf
- 2. Monod, V., Zufferey, V., Wilhelm, M., Viret, O., Gindro, K., Croll, D., & Hofstetter, V. (2025). Identifying the pedoclimatic conditions most critical in the susceptibility of a grapevine cultivar to Esca disease. OENO One, 59(1). https://doi.org/10.20870/oeno-one.2025.59.1.7659
- 3. Monod, V., Zufferey, V., Wilhelm, M., Viret, O., Gindro, K., Croll, D., & Hofstetter, V. (2025). Identifying the pedoclimatic conditions most critical in the susceptibility of a grapevine cultivar to Esca disease. OENO One, 59(1). https://doi.org/10.20870/oeno-one.2025.59.1.7659
- 4. Chatterjee, S. (2021). New Coefficient of Correlation. Journal of the American Statistical Association, 116(536), 2009–2022. https://doi.org/10.1080/01621459.2020.1758115
- 5. Fischer, M., & Peighami-Ashnaei, S. (2019). Grapevine, Esca complex, and environment: the disease triangle. Phytopathologia Mediterranea, 58(1), 17–37. https://doi.org/10.14601/Phytopathol_Mediterr-25086
- 6. Calvo-Garrido, C., Songy, A., Marmol, A., Roda, R., Clément, C., & Fontaine, F. (2021). Description of the relationship between trunk disease expression and meteorological conditions, irrigation and physiological response in Chardonnay grapevines. OENO One, 55(2), 97–113. https://doi.org/10.20870/oeno-one.2021.55.2.4548
- 7. Calzarano, Francesco, Di Marco, S., D’agostino, V., Schiff, S., & Mugnai, L. (2014). Grapevine leaf stripe disease symptoms (Esca complex) are reduced by a nutrients and seaweed mixture. Phytopathologia Mediterranea, 53(3), 543–558. https://doi.org/10.14601/Phytopathol_Mediterr-15253
- 8. Calzarano, Francesco, Di Marco, S., D’agostino, V., Schiff, S., & Mugnai, L. (2014). Grapevine leaf stripe disease symptoms (Esca complex) are reduced by a nutrients and seaweed mixture. Phytopathologia Mediterranea, 53(3), 543–558. https://doi.org/10.14601/Phytopathol_Mediterr-15253
- 9. Monod, V., Zufferey, V., Wilhelm, M., Viret, O., Gindro, K., Croll, D., & Hofstetter, V. (2025). Identifying the pedoclimatic conditions most critical in the susceptibility of a grapevine cultivar to Esca disease. OENO One, 59(1). https://doi.org/10.20870/oeno-one.2025.59.1.7659
- 10. Fischer, M., & Peighami-Ashnaei, S. (2019). Grapevine, Esca complex, and environment: the disease triangle. Phytopathologia Mediterranea, 58(1), 17–37. https://doi.org/10.14601/Phytopathol_Mediterr-25086
- 11. Bortolami, G., Gambetta, G. A., Cassan, C., Dayer, S., Farolfi, E., Ferrer, N., Gibon, Y., Jolivet, J., Lecomte, P., & Delmas, C. E. L. (2021). Grapevines under drought do not express Esca leaf symptoms. Proceedings of the National Academy of Sciences of the United States of America, 118(43). https://doi.org/10.1073/pnas.2112825118
References
- Letessier I & Fermond C (2004). Étude des terroirs viticoles vaudois (Suisse), Géo-pédologie. Zone pilote de La Côte : Appellations Bursinel, Vinzel, Luins et Begnins. Rapports SIGALES. https://www.vd.ch/fileadmin/user_upload/themes/environnement/sol/fichiers_pdf/Cartographie_des_sols_viticoles_-_article_Agroscope.pdf
- Monod, V., Zufferey, V., Wilhelm, M., Viret, O., Gindro, K., Croll, D., & Hofstetter, V. (2025). Identifying the pedoclimatic conditions most critical in the susceptibility of a grapevine cultivar to Esca disease. OENO One, 59(1). https://doi.org/10.20870/oeno-one.2025.59.1.7659
- Chatterjee, S. (2021). New Coefficient of Correlation. Journal of the American Statistical Association, 116(536), 2009–2022. https://doi.org/10.1080/01621459.2020.1758115
- Fischer, M., & Peighami-Ashnaei, S. (2019). Grapevine, Esca complex, and environment: the disease triangle. Phytopathologia Mediterranea, 58(1), 17–37. https://doi.org/10.14601/Phytopathol_Mediterr-25086
- Calvo-Garrido, C., Songy, A., Marmol, A., Roda, R., Clément, C., & Fontaine, F. (2021). Description of the relationship between trunk disease expression and meteorological conditions, irrigation and physiological response in Chardonnay grapevines. OENO One, 55(2), 97–113. https://doi.org/10.20870/oeno-one.2021.55.2.4548
- Calzarano, Francesco, Di Marco, S., D’agostino, V., Schiff, S., & Mugnai, L. (2014). Grapevine leaf stripe disease symptoms (Esca complex) are reduced by a nutrients and seaweed mixture. Phytopathologia Mediterranea, 53(3), 543–558. https://doi.org/10.14601/Phytopathol_Mediterr-15253
- Bortolami, G., Gambetta, G. A., Cassan, C., Dayer, S., Farolfi, E., Ferrer, N., Gibon, Y., Jolivet, J., Lecomte, P., & Delmas, C. E. L. (2021). Grapevines under drought do not express Esca leaf symptoms. Proceedings of the National Academy of Sciences of the United States of America, 118(43). https://doi.org/10.1073/pnas.2112825118
Article statistics
Views: 3076
Downloads
XML: 155
