This readme file was generated on [2025-03-24] by [Peter Innes]


GENERAL INFORMATION

Title of Dataset: A study of the vernalisation requirements of mountain rye
(Secale strictum syn. S. montanum) may help explain low
grain yields of perennial cereals compared to wheat

Author/Principal Investigator Information
Name: Peter Innes
ORCID:0000-0003-1472-925X
Institution: University of Southern Queensland
Address: Toowoomba Queensland Australia
Email: peter.innes@usq.edu.au

Author/Associate or Co-investigator Information
Name: Keith Pembleton
ORCID:
Institution: University of Southern Queensland
Address: Toowoomba Queensland Australia
Email: Keith.Pembleton@unisq.edu.au
 

Date of data collection: 1st May 2023 - 1st May 2024 

Geographic location of data collection: Cowra, NSW, Australia

Information about funding sources that supported the collection of the data: Australian Government Research Training Program Scholarship


SHARING/ACCESS INFORMATION

Licenses/restrictions placed on the data: CC BY-NC 4.0

Links to publications that cite or use the data: https://doi.org/10.1093/aobpla/plaf015

Links to other publicly accessible locations of the data: na

Links/relationships to ancillary data sets: na

Was data derived from another source? no

Recommended citation for this dataset: 
Innes, Peter. 2024. A study of the vernalisation requirements of mountain rye (Secale strictum syn. S. montanum) may help explain low grain yields of perennial cereals compared to wheat. University of Southern Queensland. https://doi.org/10.26192/zwv51

DATA & FILE OVERVIEW

File List: TillerRatiosByDate.xlsx, YieldsVernalisationExperiment.xlsx, ZadoksByDate.xlsx

Additional related data collected that was not included in the current data package: 
 no
Are there multiple versions of the dataset? no


METHODOLOGICAL INFORMATION

Description of methods used for collection/generation of data: Data were collected from growth chamber and glasshouse experiments using the methods described in the associated publication DOI: 10.1093/aobpla/plaf015

Methods for processing the data: 

Instrument- or software-specific information needed to interpret the data: Microsoft Office 365

Environmental/experimental conditions: Controlled environments growth chamber and glasshouse

Describe any quality-assurance procedures performed on the data: checks for outliers

People involved with sample collection, processing, analysis and/or submission: Peter Innes