• BGS Hosted Metadata
  •   Search
  •   Map
  •  Sign in

Fruit yield of the raspberry (Rubus idaeus) under different pollination treatments, Reading, England, 2019-2021

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. Full details about this dataset can be found at https://doi.org/10.5285/de5b4f33-f679-4798-8daf-51a314e78204

Simple

Date (Publication)
2022-09-20
Citation identifier
https://catalogue.ceh.ac.uk/id/de5b4f33-f679-4798-8daf-51a314e78204
Citation identifier
doi: / 10.5285/de5b4f33-f679-4798-8daf-51a314e78204
Other citation details

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 10.5285/de5b4f33-f679-4798-8daf-51a314e78204

Point of contact
Organisation name Individual name Electronic mail address Role
University of East Anglia Ryan, I.

I.Ryan@uea.ac.uk

Author
Cambridge University Dicks, L.V.

lvd22@cam.ac.uk

Author
University of East Anglia Ryan, I.

I.Ryan@uea.ac.uk

Point of contact
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Custodian
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Publisher
University of East Anglia

I.Ryan@uea.ac.uk

Owner

GEMET - INSPIRE themes, version 1.0

  • Agricultural and Aquaculture Facilities

Wikidata

  • Apis mellifera
  • Rubus idaeus

GEMET - Concepts, version 4.1.3

  • ecosystem services
  • fruit
Keywords
  • Agriculture
  • exclusion

  • fruit set

  • pollination

  • raspberry

  • ecosystem services

  • pollination deficit

Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
Other restrictions
Other constraints

If you reuse this data, you should cite: 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

Spatial representation type
Text, table
Language
English
Character set
UTF8
Topic category
  • Farming
Begin date
2019-01-01
End date
2021-12-31
N
S
E
W
thumbnail




Unique resource identifier
OSGB 1936 / British National Grid
Distribution format
Name Version

Comma-separated values (CSV)

Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/data/de5b4f33-f679-4798-8daf-51a314e78204

Download the data

OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/sd/de5b4f33-f679-4798-8daf-51a314e78204.zip

Supporting information

Hierarchy level
Dataset
Other

dataset

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Statement

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.

Metadata

File identifier
de5b4f33-f679-4798-8daf-51a314e78204 XML
Metadata language
English
Character set
8859 Part 1
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2025-11-13T16:26:49
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

GEMET - INSPIRE themes, version 1.0

Agricultural and Aquaculture Facilities


Provided by

logo

Share on social sites

Access to the catalogue
Read here the full details and access to the data.




  •   About
  •   Github
  •