1. ABOUT THE DATASET ------------ Title: Weather and grower dataset Creators: Jessica Austin Organisations: University of Reading Rights-holders: This dataset is copyright Jessica Austin. Incorporated weather data (temperature, humidity, wind and precipitation on the given dates) are copyright Visual Crossing Corporation. These data are licensed by the rights-holders under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/. Weather data: Visual Crossing Corporation. (2022). Visual Crossing Weather (2012 - 2017). [data service]. Retrieved from https://www.visualcrossing.com/. Permission by Visual Crossing Corporation to use and distribute under CC BY licence the weather data included in this dataset is gratefully acknowledged. Publication Year: 2023 Description: This dataset supports the PhD thesis 'Epidemiology and community analysis of stem end rot-associated fungal pathogens and their impact on postharvest disease of commercial avocado (Persea americana)'. It contains commercial quality control records indicating periods of high and low stem end rot incidence as recorded by the Greencell avocado distribution centre, matched with historic weather data recorded by Visual Crossing weather data services. Cite as: Austin, J. (2023): Weather and grower dataset. University of Reading. Dataset. https://doi.org.10.17864/1947.000436 Related publication: Austin, J. (2022). Epidemiology and community analysis of stem end rot-associated fungal pathogens and their impact on postharvest disease of commercial avocado (Persea americana) [PhD thesis, University of Reading]. https://doi.org/10.48683/1926.00113324 2. TERMS OF USE ------------ Copyright 2023 Jessica Austin and Visual Crossing Corporation. This dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/. 3. PROJECT AND FUNDING INFORMATION ------------ Title: Epidemiology and community analysis of stem end rot-associated fungal pathogens and their impact on postharvest disease of commercial avocado (Persea americana) Dates: 2017 - 2021 Funding organisations: University of Reading, University of East Anglia, Greencell (Westfalia Fruit UK) 4. CONTENTS ------------ File listing 1 File: Weatherandgrowerdataset.xlsx 19 tabs + ReadMe tab 1. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Columbia01 2. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Columbia10 3. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Columbia15 4. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Columbia180 5. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Chile41 6. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Chile164 7. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Chile184 8. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Chile190 9. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Chile1012 10. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Chile4113 11. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Chile5574 12. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Chile5652 13. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Chile40004 14. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Chile40072 15. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Mexico398383 16. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Mexico398888 17. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower Spain10 18. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower SouthAfricaWat 19. Temperature, Dewpoint, Humidity, Wind, and Precipitation of two harvest periods from grower ZimbabweZ002 5. METHODS ----------- Each tab contains the weather data for two harvest periods (high SER incidence and 0 SER control) for a single grower. These data were compiled from the MuddyBoots Ripening Trial Checks from 2012 – 2017. MuddyBoots is the commercial quality control software used by the Greencell avocado distribution centre to record information about the condition of avocado shipments and which grower is associated with each shipment. SER incidence was measured as the total average of the mean values of SER positive avocados found for all ripening trial checks of a single harvest period. For example, one harvest could have two ripening trial checks associated with it. If one ripening trial check found two avocados positive for SER and another ripening trial check found three SER positive avocados, and the total number of avocados tested were 20 for each, the average for each of these would be 0.10 and 0.15, respectively. The total SER incidence for the growing period would be 0.13. SER incidence for each harvest is recorded in the variable name. For example, "Dew [C] 10.5" in the "Columbia01" tab means the hourly dew point measurements in Celsius for a Columbian grower's nine month harvest period which experienced 10.5 SER incidence as defined by the paragraph above. A 0 in the variable name for the same grower (Dew [C] 0) indicates the comparable zero SER control harvest. When all Ripening Trial Check’s from 2012 – 2017 were compiled, nineteen farmers were identified as having the highest variation in SER incidence. The farms were selected from the original MuddyBoots data if they experienced SER incidence > 0.5 indices for that harvest month. The growers must also have experienced at least one harvest month with no SER incidence, thereby providing a control which affects the fewest possible variables. Historical weather data from Visual Crossing (https://www.visualcrossing.com/) was obtained for the weather station closest to the GPS coordinates associated with each grower. Hourly weather data nine months before each harvest date covered the entire period of avocado development from pollination to harvest. Factors such as temperature (°C), humidity (%), precipitation (mm), and wind speed (m/s) were matched with each growing period.