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. (Dataset). https://doi.org/10.5285/de5b4f33-f679-4798-8daf-51a314e78204
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This dataset is available under the terms of the Open Government Licence
Fruit yield of the raspberry (Rubus idaeus) under different pollination treatments, Reading, England, 2019-2021
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
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.
Correspondence/contact details
Authors
Other contacts
- Rights holder
-
University of East Anglia
- Custodian
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NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
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NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
Additional metadata
- Topic categories
- farming
- INSPIRE theme
- Agricultural and Aquaculture Facilities
- Keywords
- Apis mellifera , ecosystem services , ecosystem services , exclusion , fruit , fruit set , pollination , pollination deficit , raspberry , Rubus idaeus
- Funding
- Natural Environment Research Council Award: NE/N014472/1
Natural Environment Research Council Award: NE/R007845/1 - Last updated
- 08 February 2024 17:24
Get the data
By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
This dataset is available under the terms of the Open Government Licence
CITE 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