GENERAL INFORMATION ........................... 1. Dataset title: Dataset_Evaluation_Treatments_Botryosphaeria-Dieback. 2. Authors: Lucía Guirado-Manzano, José Francisco Santamaría Ortega, David Sarmiento, Emilio Guirado, Marina Pulido Ruiz, Antonio de Vicente, Dolores Fernández-Ortuño, Francisco M. Cazorla, Eva Arrebola 3. Author contact information: Eva Arrebola (ead@uma.es) METHODOLOGICAL INFORMATION ................................. 1. Description of the methods for collection/generation of data: - Avocado (Persea americana Mill.) is a crop of increasing economic importance, particularly in Mediterranean regions such as southern Spain. However, in recent years, avocado production has been severely affected by dieback caused by Botryosphaeriaceae species, a problem intensified under drought conditions. Traditional chemical control has shown limited effectiveness due to restricted fungicide availability and the difficulty of reaching fungi located in lignified tissues. Therefore, the objective of this study was to evaluate eco-friendly alternatives compatible with organic farming and compare their performance with conventional fungicides. Additionally, complementary cultural practices were assessed to support integrated disease management strategies. Results revealed that varietal tolerance influenced symptom expression and yield, with younger trees (1-2 years old) being more susceptible. Among the evaluated treatments, potassium silicate (K-Link) showed the most consistent efficacy. Other products, such as the biostimulant Brotolom (BTL) and the organic disinfectant Huwa San, also decreased symptoms, although their performance varied depending on the cultivar and season. Cultural practices such as autumn pruning reduced symptoms and increased yield; however, they are costly and labor-intensive. Application of gibberellic acid (GA₃) emerged as an efficient alternative, reducing flowering intensity, promoting canopy balance, lowering dieback incidence, and increasing yield. In conclusion, eco-friendly products, especially potassium silicate, combined with strategic cultural practices and GA₃ application offer viable tools to mitigate avocado dieback under Mediterranean conditions. These integrated strategies represent a sustainable approach that reduces dependence on chemical fungicides and supports resilient avocado production under increasing climatic stress. - Bibliographic citation of the article from which these research data have been generated: -Antony, S., Steel, C.C., Stodart, B.J., Billones-Baaijens, R., Savocchia, S. 2024a. Evaluation of fungicides for management of Botryosphaeriaceae associated with dieback in Australian walnut orchards. Phytopathologia Mediterranea 63(1), 119-135. https://doi.org/10.36253/phyto-14957 -Arjona-Girona, I., Ruano-Rosa, D., López-Herrera, C.J. 2019. Identification, pathogenicity and distribution of the causal agent of dieback in avocado orchards in Spain. Spanish journal of Agricultural Research 17:e1003. https://doi.org/10.5424/sjar/2019171-13561 -Crespo, M., Guirado-Manzano, L., Sarmiento, D., Guirado, E., de Vicente, A., Fernández-Ortuño, D., Cazorla, F.M., Arrebola, E. 2025. Fungal species of Botryosphaeriaceae associated with avocado dieback in southern Spain. Plant Pathology 1-16 https://doi.org/10.1111/ppa.70079 - Michailides, T., Morgan, D.P., Felts, D.G., Luo, Y., Puckett, R., Hasey J., Lampinen, B., Symmes, E., Coates, W., Buchner, R., Lightle, D., Fichtner, E., Rodriguez, D., Cunningham, C. 2016. Epidemiology and management of Botryosphaeria/Phomopsis canker and blight and Anthracnose blight of walnut in California. Walnut Research Reports, California Walnut Board. https://fruitsandnuts.ucdavis.edu/collaborators/california-walnut-board/reports/2016/2016-epidemiology-and-management 2. Data processing methods - Dieback control disease under semi-monitored parameters The experimental microplot platform used in the study was described in Tienda et al. (2020). Briefly, 102 commercial Hass avocado plants, 1-2 years old, with Duke7 rootstock, were maintained in mesocosms of 35 liters distributed in 6 lines of 17 plants each. The plants were irrigated once for 7 min. in winter, and twice for 10 min. in summer, by drip irrigation. The weather station at the experimental station provided us with humidity and temperature data during the tests. - Dieback control disease in field conditions The orchards selected for field treatments were Molino de las Monjas and Petit. Both farms had a prior incidence of dieback, providing natural inoculation of the trees included in the treatment tests. Each product was applied five times between March and May at 15-day intervals, with 80 to 120 plants assigned to each treatment at Molino de las Monjas farm and 25 to 30 at Petit farm. The treatments were generally applied aerially using a sprayer. There were some exceptions, such as the application of Brotolom Soilforce (BTL), which was also applied by irrigation in the last two crop seasons (2023-2024 and 2024-2025), either alone or combined with Aminolom TGV and Brotolom N-Dux. In addition to the application of commercial compounds, several crop management options were also evaluated. Molino de las Monjas included additional bud pruning in October (108 trees), the installation of extra drippers between irrigation lines (32 trees), the removal of polyfibril cover (27 trees), and the replacement of polyfibril with straw cover (44 trees). At Petit farm, which was divided into two groups, one group was subjected to additional pruning in October, and the other group, with standard management, was subjected as a control. These measures were evaluated during two crop seasons (2021-2022 and 2022-2023). 3. Software or instruments needed to interpret the data: - Statistical analysis The data analyses were performed with GraphPad Prism 5.0 (GraphPad Software, Inc., La Jolla, CA, USA). 4. Standards and calibration information, if appropriate: Not applicable 5. Environmental or experimental conditions: - Dieback control disease under semi-monitored parameters and field conditions The effectiveness of the treatments was evaluated based on both the incidence and severity of dieback symptoms, as well as the avocado yield from the treated trees. The severity was classified: Category 0, no symptoms; Category 1, up to 15 % of the plant with symptoms; Category 2, between 15 and 50 % of the plant with symptoms; Category 3, more than 50 % of the plant with symptoms. The number of plants belonging to each category was used to obtain the disease index (DI) by applying the formula described in Cazorla et al. (2006). For yield evaluation, the following categories were established: category 0, more than 50 fruits; category 1, between 11 and 49 fruits; category 2, between 1 and 10 fruits; and category 3, 0 fruits. The DI was calculated for both dieback symptoms and avocado yield FILE OVERVIEW ---------------------- The dataset is distributed in five files in .pdf and .xlsx formats. This provides information on: - Chambao disease index (.xlsx) - Chambao-field results (.xlsx) - Disease index-Field (.xlsx) DATA-SPECIFIC INFORMATION: ------------------------------------------- 1. Name File: Chambao disease index 1.1. Variables list: Variable name: Preliminary assay (Ensayo 1) Description: Classification into categories from 0 to 3 of the trees treated with the products specified in the document. Calculation of the disease index of three groups to take the average. Variable name: Mock (Testigo) Description: Classification of untreated trees into categories from 0 to 3. Calculation of the disease index of three groups to obtain the average. Variable name: Silicate (Silicato) Description: Classification into categories from 0 to 3 of the trees treated with potassium silicate. Calculation of the disease index of three groups to take the average Variable name: Vitaseve Description: Classification of treated trees into categories from 0 to 3 of the trees treated with Vitaseve. Calculation of the disease index of three groups to obtain the average. Variable name: UMAF 6639 (Bacillus velezesis) Description: Classification of treated trees into categories from 0 to 3 of the trees treated with the strain UMAF 6639. Calculation of the disease index of three groups to obtain the average. Variable name: Serenade Description: Classification of treated trees into categories from 0 to 3 of the trees treated with Serenade. Calculation of the disease index of three groups to obtain the average. Variable name: Brotolom (Aplicaciones) Description: Classification of treated trees into categories from 0 to 3 of the trees treated with Brotolom (BTL). Calculation of the disease index of three groups to obtain the average. Variable name: Normalization (Normalización) Description: The values ​​were referenced to 1 as the maximum, corresponding to the control. Disease index values ​​were calculated with respect to the untreated control. 1.2. Codes or symbols: Code or symbol: No specific codes have been used 1.3. Special formats or abbreviations used: Not applicable 2. Name File: Chambao-field results 2.1. Variables list: Variable name: Fungal detection (Detección hongo) Description: Number of samples processed and of these the number of isolates identified as Botryosphaeriaceae Variable name: Chambao Symptoms (Sint-Chambao) Description: Classification and number of trees into categories from 0 to 3 of the trees treated with he products specified in the document. Experiment performed in mesocosm. Variable name: Field Symptoms (Sint-Campo) Description: Classification and number of trees into categories from 0 to 3 of the trees treated with he products specified in the document. Experiment performed in avocado orchards Variable name: Harvest (Cosecha) Description: Classification and number of trees into fruit-yield categories from 0 to 3 of the trees treated with he products specified in the document. Experiment performed in avocado orchards Variable name: Management (Manejo) Description: Classification and number of trees into categories from 0 to 3 of the trees subjected to different handling specified in the document. Experiment performed in avocado orchards 2.2. Codes or symbols: No specific codes have been used 2.3. Special formats or abbreviations used: Not applicable 3.1. Variables list: Disease index-Field Variable name: Sarmiento symptoms (Sarmiento-Snt) Description:Classification and number of trees into categories from 0 to 3 of the trees treated with he products specified in the document. Experiment performed in avocado orchards Molino de las Monjas Variable name: Sarmiento harvest (Sarmiento Frt) Description: Classification and number of trees into fruit-yield categories from 0 to 3 of the trees treated with he products specified in the document. Experiment performed in avocado orchards Molino de las Monjas Variable name: Petit Symptoms (Petit-Snt) Description: Classification and number of trees into categories from 0 to 3 of the trees treated with he products specified in the document. Experiment performed in avocado orchards Petit Variable name: Petit harvest (Petit-Frt) Description: Classification and number of trees into fruit-yield categories from 0 to 3 of the trees treated with he products specified in the document. Experiment performed in avocado orchards Petit Variable name: Management (Manejo) Description: Classification and number of trees into categories from 0 to 3 of the trees subjected to different handling specified in the document. Experiment performed in avocado orchards 3.2. Codes or symbols: No specific codes have been used 3.3. Special formats or abbreviations used: No applicable MORE INFORMATION ------------------- [Include any other information about the dataset that is not reflected in this template and that you consider relevant. Incluya cualquier otra información sobre el conjunto de datos que no haya quedado reflejada en esta plantilla y que considere relevante]