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Dataset . 2025
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dataset . 2024
Data sources: ZENODO
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Dataset . 2025
Data sources: Datacite
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Dataset . 2024
Data sources: Datacite
ZENODO
Dataset . 2025
Data sources: Datacite
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2022 Hyper Yielding Crops Data

Authors: Field Applied Research Australia; Warren, Darcy; BrillAg; Poole, Nick; Brill, Rohan;

2022 Hyper Yielding Crops Data

Abstract

The GRDC Hyper Yielding Crops (HYC) project aims to push the boundaries of crop productivity and profitability in high-yielding regions across southern Australia. The 2022 dataset captures raw trial data from five states—Western Australia, South Australia, Victoria, New South Wales, and Tasmania—covering wheat, barley, and canola, depending on the location. Data are organised by site, crop type, and trial ID, and are presented in Excel spreadsheets containing original measurements and derived calculations (e.g., plant density), with each sheet including a key to units, codes, and abbreviations. The dataset is accompanied by a PDF report detailing experimental design, treatments, and environmental conditions such as soil and climate. Trial assessments were conducted using GDM ARM software, and metadata such as crop growth stage, assessment descriptions, and notes are provided within the spreadsheets. This research was made possible through the support of GRDC and contributions from growers and research partners, including FAR Australia, CSIRO, DPIRD, SFS, CeRDI, and several regional farming groups.

Related Organizations
Keywords

Barley, Fungicide, Germplasm, Wheat, PGR, Hyper Yielding Crops, Canola

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average