Data

Screening wheat genotypes in alkaline sodic subsoil

Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia
Department of Primary Industries NSW ; Armstrong, David ; Aslam, Naveed ; Hildebrand, Shane ; Jia, Yan ; Oates, Albert ; Orgill, Susan ; Pitt, Wayne ; Sandral, Graeme ; Tavakkoli, Ehsan
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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/32626&rft.title=Screening wheat genotypes in alkaline sodic subsoil&rft.identifier=https://www.farmtrials.com.au/trial/32626&rft.publisher=Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia&rft.description=This paper presents results from a genotype screening experiment conducted in 2019 at Grogan in southern NSW for identifying wheatgenotypes and traits linked to sodicity tolerance under field conditions with subsoil sodicity.&rft.creator=Department of Primary Industries NSW &rft.creator=Armstrong, David &rft.creator=Aslam, Naveed &rft.creator=Hildebrand, Shane &rft.creator=Jia, Yan &rft.creator=Oates, Albert &rft.creator=Orgill, Susan &rft.creator=Pitt, Wayne &rft.creator=Sandral, Graeme &rft.creator=Tavakkoli, Ehsan &rft.date=2023&rft.coverage=northlimit=-34.352365; southlimit=-34.352365; westlimit=147.712636; eastlimit=147.712636; 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_subject=Crop Type&rft.type=dataset&rft.language=English Access the data

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Full description

This paper presents results from a genotype screening experiment conducted in 2019 at Grogan in southern NSW for identifying wheat
genotypes and traits linked to sodicity tolerance under field conditions with subsoil sodicity.

Created: 2019

Issued: 08 06 2023

Data time period: 2019 to 2019

This dataset is part of a larger collection

147.71264,-34.35237

147.712636,-34.352365

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