Data

HYC Wheat Elite Screen

Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia
Field Applied Research (FAR) Australia ; Davey, Brett ; Poole, Nick ; Warren, Darcy
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://www.farmtrials.com.au/trial/38689&rft.title=HYC Wheat Elite Screen&rft.identifier=https://www.farmtrials.com.au/trial/38689&rft.publisher=Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia&rft.description=To examine nine elite lines under both untreated and HYC High input fungicide management based on a full foliar fungicide program preceded with a SDHI seed treatment (3 foliar fungicides – GS31, GS39, GS59-61 and Systiva seed treatment) and PGR management – split application Moddus 0.1 + Errex 0.65 – GS30 & GS32). 184kg N/ha was applied as a three split of nitrogen fertiliser application&rft.creator=Field Applied Research (FAR) Australia &rft.creator=Davey, Brett &rft.creator=Poole, Nick &rft.creator=Warren, Darcy &rft.date=2024&rft.coverage=northlimit=-41.525912; southlimit=-41.525912; westlimit=146.898457; eastlimit=146.898457; projection=WGS84&rft_rights=Online Farm Trials Terms of Use https://www.farmtrials.com.au/terms-of-use/&rft_rights=Copyright. All rights reserved. https://www.farmtrials.com.au/terms-of-use/&rft_subject=CROP AND PASTURE PRODUCTION&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=Cereal (Grain)&rft_subject=Wheat&rft.type=dataset&rft.language=English Access the data

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Full description

To examine nine elite lines under both untreated and HYC High input fungicide management based on a full foliar fungicide program preceded with a SDHI seed treatment (3 foliar fungicides – GS31, GS39, GS59-61 and Systiva seed treatment) and PGR management – split application Moddus 0.1 + Errex 0.65 – GS30 & GS32). 184kg N/ha was applied as a three split of nitrogen fertiliser application

Created: 2022

Issued: 17 06 2024

Data time period: 2022 to 2022

This dataset is part of a larger collection

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146.89846,-41.52591

146.898457,-41.525912

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ACN 633 798 857