https://researchdata.se/en/catalogue Search results en Pest and plant assessments were performed on a total of five field experiments in 2024 (n=2) and 2025 (n=3) in Scania southernmost Sweden. Each experiment had five treatments: sugar beet intercropped with spring Barley, sugar beet intercropped with Persian clover, sugar beet intercropped with white mustard and two controls: sugar beet sole cropping with band spraying of herbicide and sugar beet sole cropping with broad spraying of herbicide. We focused on inspect pest assessments on leaves and stems. Pest assessments on leaves consisted of counting the number of beet leafminer eggs, aphids and leaf injuries by thrips, flea beetles, pygmy mangold beetles or vertebrates in four randomly selected groups of five plants in each plot. In 2024, surveys were conducted between the 8th and the 30th of May, at three-four day intervals, while in 2025 they were conducted between the 15th of April and the 15th of May, at five-nine day intervals. Pest assessments on stems consisted of counting the number of injuries per plant, in 10 randomly selected plants, twice between the 13th and the 24th of May in 2024. Whereas in 2025, these were evaluated as the proportion of the stem injured in each plant, in 15 randomly selected plants, once between the 23rd and 28th of April. All leaf and stem pest assessments were performed while the crop was between BBCH growth stages 9 and 16, because, with the exception of aphids, this period corresponds to when pests inflict the most economically important crop injury. Plant assessments were performed at crop stage BBCH 15-16 (based on the standardized BBCH scale for plant phenological development). We measured sugar beet plant density and the aboveground biomass of service crops, weeds and sugar beet (the latter was measured only in 2025). These assessments were done in four 1 by 1 m quadrats in each plot. In 2025 however, a proportion of the assessments of biomass of service crop and weeds were only done in 50% or 25% of the quadrat. All data were aggregated across samples (plants) and survey rounds for each site and treatment for analysis. For further information, see methods in the manuscript "Service crops for protection against multiple insect pests in sugar beet during crop establishment" by Neus Rodriguez-Gasol, Göran Bergkvist & Ola Lundin. Mon, 14 Sep 2026 11:17:00 GMT https://researchdata.se/en/catalogue/dataset/2026-194 https://researchdata.se/en/catalogue/dataset/2026-194 Swedish University of Agricultural Sciences Neus Rodriguez-Gasol Göran Bergkvist Ola Lundin We studied the effects of different landscape parameters on three spatial scales on the densities of pest flea beetles and crop damage at the cotyledon stage in 56 spring oilseed rape fields across five years. The landscape parameters investigated include the cover of non-crop habitats (forests and pastures) as potential overwintering sites, the distance to winter oilseed rape fields in the same year, the distance to spring oilseed rape fields in the preceding year, the landscape level crop diversity in the previous year and the edge-density in the surrounding landscapes. Flea beetles (Coleoptera, Alticinae) were collected with four pitfall traps in one observation plot established in each field and counts represent total catches for all four traps and sampling intervals combined. Crop damage was assessed in 10 or 16 (depending on the year) 0.5 m x 0.5 m squares per observation plot following the crop damage categories in Ekbom & Kuusk (2005), https://res.slu.se/id/publ/7184, at the end of cotyledon stage (~ BBCH 14). Values represent the average crop damage per observation plot. Landscape parameters were extracted from the official land-use maps provided by Lantmäteriet (Terrängkartan) at three radii (500 m, 1000 m and 2000 m) around the centre of the observation plots. For further information on the detailed methodology, see methods in the publication Boetzl et al. (2023) Spatiotemporal isolation of oilseed rape fields reduces insect pest pressure and crop damage. Journal of Applied Ecology. The data in the 'combined_dataset.csv' file have information on flea beetles and crop damages recorded in 56 fields ('site_ID') and landscape parameters in the landscapes surrounding these fields at three spatial scales. 169 rows. The landscape parameters investigated include the cover of non-crop habitats (forests and pastures) as potential overwintering sites, the distance to winter oilseed rape fields in the same year, the distance to spring oilseed rape fields in the preceding year, the landscape level crop diversity in the previous year and the edge-density in the surrounding landscapes. Flea beetles (Coleoptera, Alticinae) were collected with four pitfall traps in each plot in each field and counts represent total catches for all four traps and sampling intervals combined. Fri, 21 Apr 2023 14:31:56 GMT https://researchdata.se/en/catalogue/dataset/2023-77-1 https://researchdata.se/en/catalogue/dataset/2023-77-1 Swedish University of Agricultural Sciences Fabian Bötzl Ola Lundin The data contain information on the number of cabbage stem flea beetle (Psylliodes chrysocephala) larva in winter oilseed rape plants in southern Sweden 1968-2018. A monitoring program for cabbage stem flea beetles in southern Sweden winter oilseed rape fields started in 1969. These data were collected over a 50-year period from commercial winter oilseed rape fields across Scania, the southernmost county in Sweden, by the Swedish University of Agricultural Sciences and its predecessors as well as the Swedish Board of Agriculture. The sampling region of Scania, Sweden was divided into five subregions: (1) southeast, (2) southwest, (3) west, (4) northeast, and (5) northwest. For each subregion we also include data on daily maximum and minimum temperature data in Celsius from 1968-2018. The total area planted to winter oilseed rape in Scania, the mean regional number of cold days and the North Atlantic Oscillation index are reported. Lastly, P. chrysocephala density in winter oilseed rape across five subregions in the UK from 2001-2020 are extracted from a plot in a public report and reported. The data in the CSFB_Scania_NAs2010-11.csv file have information on crop planting date, the total number of P. chrysocephala larvae detected, number of plants sampled, the density of larva (total larvae/plants examined), sampling date, year, subregion, whether a seed coating or spray pesticide was used in the field and whether the sample was from a commercial field or from an experiment. 3118 rows. Five files have daily maximum and minimum temperatures for each subregion 1968-2018 (NorthwestInsectYear.csv, NortheastInsectYear.csv, SoutheastInsectYear.csv, SouthwestInsectYear.csv, WestInsectYear.csv). All weather data comes from Swedish weather data website https://www.smhi.se/data. 18,566 rows in the NorthwestInsectYear.csv, 18,606 rows in the NortheastInsectYear.csv, 18,574 rows in the SoutheastInsectYear.csv, 18,574 rows in the SouthwestInsectYear.csv, 18,574 rows in the WestInsectYear.csv. The file WOSRareaSkane1968-present.csv pulls data from the Swedish Board of Agriculture on the number of hectares planted to winter oilseed rape, turnip rape and the combined total in the Scania region in Sweden from 1968 (matching with harvest year 1969) to 2019. 53 rows. The file NAO_coldDays.csv gives the annual Hurrell PC-Based North Atlantic Oscillation Index value from https://climatedataguide.ucar.edu/climate-data/hurrell-north-atlantic-oscillation-nao-index-pc-based as well as the raw and log-transformed regional mean number of cold days (below -10C) per year for Scania. 51 rows. Finally, the data in the CSFBinUK2001-2020.csv is the data extracted from “historical comparisons” figure from the Crop Monitor report last accessed 7 November, 2022 at https://www.cropmonitor.co.uk/wosr/surveys/wosrPestAssLab.cfm?year=2006/2007&season=Autumn. These data include the regions in the UK that data was collected from, the harvest year and the mean number of cabbage stem flea beetle larvae counted per plant in each region and year. 101 rows. Thu, 08 Dec 2022 07:00:32 GMT https://researchdata.se/en/catalogue/dataset/2022-215-1 https://researchdata.se/en/catalogue/dataset/2022-215-1 Swedish University of Agricultural Sciences Sara Emery Ola Lundin