1 Citation
The data set was collected in Uppsala Sweden between 2019 and 2021. Hives were established using varroa resistant queens from Oslo, Norway (n = 3), Gotland Sweden, (n = 5), and Avignon, France (n = 4), with a varroa susceptible population from Uppsala, Sweden (n = 5) as control. All hives were located at the SLU Lövsta research station (GPS Coordinates: 59° 50’ 2.544”N, 17° 48’ 47.447”E). Varroa destructor mite reproductive success was measured on frames with adult honeybee workers exposed to, and excluded from access to honeybee larvae. Excluders were added directly after brood capping, and frames were dissected nine days later. Cell caps were removed using a scalpel with the pupae and mite families carefully removed from the cell using forceps and a fine paint brush. Mite reproductive success calculated by counting successful reproduction attempts, which was defined as a mite that successfully produced one male, and at least one female offspring. If a mite did not meet this requirement, it was considered a failed reproduction attempt and the reason for failure was documented. All data was analyzed in R version 4.0.1 using R Studio 1.3.959. A linear mixed-effect model was used with mite reproductive success as the response variable, population origin and excluder treatment as independent variables, with colony and year as random effect variables to compare treatments within each population as well as fecundity. Least-square means of the model were used to compare treatments between individual populations.
Scaramella_et_al_2023_Data.tsv - Data set consists of 34 rows and 21 columns. Colony demographics, and designated treatment are listed. All data collected are count data and are explained in more detail in read me file.
R script used in analysis is attached. It is split into two sections, with the first being used for statistical analysis, and the second used for plot creations used in the paper. Sections defined by title SECTION 1 - ANALYSIS and SECTION 2 - PLOTs
The output Scaramella_et_al_2023_Analysis_Code_log.txt and plot file Rplots.pdf can, provided that the script is in the same directory as the data files and needed R packages are installed (see sessionInfo.txt), be reproduced by running:
Rscript Scaramella_et_al_2023_Analysis_Code.R > \
Scaramella_et_al_2023_Analysis_Code_log.txt
Scaramella_et_al_2023_Bar_Graph_Data.tsv - Data set consisting of 8 rows & 5 columns. Colony demographics, and designated treatment are listed. All data ...