Ryan, I.; Dicks, L.V.
Fruit yield of the raspberry (Rubus idaeus) under different pollination treatments, Reading, England, 2019-2021
Cite this dataset as:
Ryan, I.; Dicks, L.V. (2022). Fruit yield of the raspberry (Rubus idaeus) under different pollination treatments, Reading, England, 2019-2021. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/de5b4f33-f679-4798-8daf-51a314e78204
Download/Access
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This dataset is available under the terms of the Open Government Licence
https://doi.org/10.5285/de5b4f33-f679-4798-8daf-51a314e78204
This data is the fruit set and marketable fruit set (percentage and success: failure) of commercial raspberry plants under four different pollination treatments. The data also includes fruit measurements (weight in grams and length and width in mms) of these fruit and the number of seeds per fruit for a subset of the collected fruits.
Publication date: 2022-09-20
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
OSGB 1936 / British National Grid
Temporal information
Temporal extent
2019-01-01 to 2021-12-31
Provenance & quality
Mesh bags and paintbrushes were used to exclude pollinators and deliver hand pollen supplementation to create the four pollination treatments. Scales and callipers were used to take fruit measurements and Image J software was used on photographs of a single fruits’ seeds spread on paper towels to count the number of seeds per fruit. Fruit set is presented as both success and failure and a percentage. Fruit weight is in grams to 3 decimal places and fruit length and width is in mm to 2 decimal places. Seed number is the number of seeds extracted from each fruit.
The data is across three csv files entitled Fruit_set.csv, Fruit_measurements.csv, Seed_no.csv. The data was collected on a single commercial soft fruit farm near Reading England (51°29′32″N, 000°52′28″W). The plants that fruits were collected from were from 6 different fields on the farm and were randomly selected within each field. The data was collected across 2019-2021 between June-September in each year. Crop plants were randomly selected across each field in each year; 19 in 2019 (Diamond Jubilee: n=9, Sapphire: n=10), 30 in 2020 (Diamond Jubilee: n=10, Sapphire: n=20) and 36 in 2021 (Diamond Jubilee: n=16, Sapphire: n=20). Sample size was increased in later years to provide contingency, since some inflorescences were lost from the experiment in 2019 and 2020, due to accidental picking or disease. For each plant three lateral branches with ≥9 flower buds were selected and randomly assigned to one of three treatments; insect pollination (IP), insect exclusion (IE) and insect exclusion with pollen supplementation (IES), for 2020 and 2021 this was exactly 10 buds per treatment on each plant. Any open flowers were removed at the start of the study. An insect pollination with pollen supplementation (IPS) treatment was included in 2020 and 2021 to give a maximum potential fruit production value, as this wasn’t provided in 2019 by the IES treatment. For how the data was collected see Lineage. The data was collected for the purpose of determining the pollinator dependence of raspberry to determine how important pollinators are in this system. Imogen Ryan (PhD) was responsible for the collection and interpretation of the data. Fruits that were damaged by humans or on damaged branches were excluded from the dataset as well as those infected with fungal diseases. Scales were calibrated using a 100g weight (included with the scales) before each weighing session and at regular intervals throughout.
The scale used was the Ohaus Scout STX Balances P/N 30296522 B. The callipers were Digital Vernier Caliper, Preciva Electronic Caliper 150mm with Extraordinary LCD Screen.
The data is across three csv files entitled Fruit_set.csv, Fruit_measurements.csv, Seed_no.csv. The data was collected on a single commercial soft fruit farm near Reading England (51°29′32″N, 000°52′28″W). The plants that fruits were collected from were from 6 different fields on the farm and were randomly selected within each field. The data was collected across 2019-2021 between June-September in each year. Crop plants were randomly selected across each field in each year; 19 in 2019 (Diamond Jubilee: n=9, Sapphire: n=10), 30 in 2020 (Diamond Jubilee: n=10, Sapphire: n=20) and 36 in 2021 (Diamond Jubilee: n=16, Sapphire: n=20). Sample size was increased in later years to provide contingency, since some inflorescences were lost from the experiment in 2019 and 2020, due to accidental picking or disease. For each plant three lateral branches with ≥9 flower buds were selected and randomly assigned to one of three treatments; insect pollination (IP), insect exclusion (IE) and insect exclusion with pollen supplementation (IES), for 2020 and 2021 this was exactly 10 buds per treatment on each plant. Any open flowers were removed at the start of the study. An insect pollination with pollen supplementation (IPS) treatment was included in 2020 and 2021 to give a maximum potential fruit production value, as this wasn’t provided in 2019 by the IES treatment. For how the data was collected see Lineage. The data was collected for the purpose of determining the pollinator dependence of raspberry to determine how important pollinators are in this system. Imogen Ryan (PhD) was responsible for the collection and interpretation of the data. Fruits that were damaged by humans or on damaged branches were excluded from the dataset as well as those infected with fungal diseases. Scales were calibrated using a 100g weight (included with the scales) before each weighing session and at regular intervals throughout.
The scale used was the Ohaus Scout STX Balances P/N 30296522 B. The callipers were Digital Vernier Caliper, Preciva Electronic Caliper 150mm with Extraordinary LCD Screen.
Licensing and constraints
This dataset is available under the terms of the Open Government Licence
Cite this dataset as:
Ryan, I.; Dicks, L.V. (2022). Fruit yield of the raspberry (Rubus idaeus) under different pollination treatments, Reading, England, 2019-2021. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/de5b4f33-f679-4798-8daf-51a314e78204
Correspondence/contact details
Authors
Other contacts
Rights holder
University of East Anglia
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Additional metadata
Keywords
Funding
Natural Environment Research Council Award: NE/N014472/1
Natural Environment Research Council Award: NE/R007845/1
Natural Environment Research Council Award: NE/R007845/1
Last updated
08 February 2024 17:24