1. ABOUT THE DATASET ------------ Title: The effect of temperature on residue levels in floral matrices Creator(s): Fiona Gierer Organisation(s): University of Reading Rights-holder(s): University of Reading Publication Year: 2022 Description: The aim of the study was to investigate the effect of temperature on pesticde residue levels in pollen and nectar. Therefore, courgette plants were sprayed during flowering with cyprodinil, a systemic active ingredient, and grown at different temperatures ranging from 20 to 30 degree Celsius. Nectar, pollen, anther, flower and leaf samples were taken daily over the course of 1 week. Samples were analysed for residues using LC-MS/MS. Cite as: Gierer (2022): The effect of temperature on residue levels in floral matrices. University of Reading. Dataset. https://doi.org/10.17864/1947.000377. Contact: fiona.gierer@outlook.com 2. TERMS OF USE ----------------- Copyright 2022 University of Reading. 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: Improving our understanding of residues in bee important matrices Dates: September 2017 - November 2021 Funding organisation: University of Reading, Syngenta Ltd (Jeallot's Hill, Bracknell, UK) Grant no.: Not available 4. CONTENTS ------------ File listing ResidueData-Temperature: Residue data of cyprodinil in courgette pollen, nectar, anthers, flowers and leaves following a foliar spray application during flowering collected on 0-7 days after application (DAA) at different temperatures. 8 variables are included in the dataset: Sample (sample name), Repetition (treatment replicate), DAA (days after application sample was taken), Temperature (in degree celsius, at which plants were grown after application) Residues (in mg/kg), Matrix (plant matrix analysed), Type (fresh or freeze-dried) WaterContent: Water content calculated based on difference between fresh and freeze-dried sample. For nectar, the sugar content was measured and water content calculated. 5. METHODS -------------------------- Courgettes (Cucurpita pepo var. cylindrica) were grown in pots in the glasshouse. During flowering the plants were sprayed with cyprodinil (750g ai/ha) using a hand-held pressure sprayer. The pots were moved into three different glasshouse compartments with temperatures of 20, 25 and 30 degree Celsius each. For each temperature treatment (glasshouse compartment), four replicate plots consisting of 15 plants were grown. Furthermore, one control plot with untreated plants was added to each treatment. Samples of pollen, nectar, anthers, flowers and leaves were taken 0 days after application (0 DAA) from each plot, when the spray solution had dried, and on each subsequent day for 7 days. All flowers in one plot were cut and nectar was removed using a pipette and stored in Eppendorf tubes. Pollen was carefully scraped off with a plastic stick into Eppendorf tubes. About 10g of leaves were randomly collected in each plot. All samples were stored at -18 degree Celsius until analysis. Samples were extracted twice with acetonitrile/water (80/20, v/v) on a tissue homogeniser (FastPrep, MP Biomedicals), ultrasonicated and centrifuged. Analysis was performed using LC-MS/MS. Matrix-matched standards were used for calibration. At least one control, one reagent blank and two procedural recoveries at the LOQ (0.01mg/kg) and 10xLOQ were included in each run which were within 70-120% with and RSD<20%. Matrix effects and linearity (R2>0.99) were assessed. Control samples were free from contamination, but are not included in the dataset. Additionally, a sub-sample of each matrix (except nectar) was taken and the water content was assessed. Therefore, the sub-sample was weighted before and after freeze-drying for 24hrs. Freeze-dried samples were analysed in a similar way as the fresh samples. In nectar, the sugar content was measured using a pocket refractometer. -