Data

AgriYieldz_v2

Commonwealth Scientific and Industrial Research Organisation
Lawes, Roger ; Herrmann, Chris
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/vpp3-wy19&rft.title=AgriYieldz_v2&rft.identifier=https://doi.org/10.25919/vpp3-wy19&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=AgriYieldz: The Wheat Crop Production Estimator AgriYieldz provides information about the historical yield potential of a paddock for every year from 1990 to 2023 (33) years. To estimate potential yield, it uses best available soil information, real rainfall data, and assumes the paddock was sown to wheat, every year. It also assumes no other constraints such as suffering from a lack of nitrogen, or impacts of weeds, disease or frostLineage: AgriYieldz is generated on an 11km2 climate grid, for each soil in the grid. A simulation is performed for each combination of soil and climate. Wheat yields are calculated using soil types from the ASRIS national soil grid of Australia. Historical climate data is provided by the Bureau of Meteorology. Yields from six different cultivars are simulated. Cultivars represent the variations in phenology and cultivar options include Bolac, Braewood, H45, Illabo, Ouyen, Scepter and Sunstate. The simulation assumes wheat was grown every year, for the last 30 years. With the APSIM crop model, management was set so that the crop was grown with unlimited nitrogen and was free from weeds and disease. Two yields are provided, one where frost and heat damage are calculated, and another where these were excluded from the estimate of yield potential.&rft.creator=Lawes, Roger &rft.creator=Herrmann, Chris &rft.date=2025&rft.edition=v1&rft.coverage=westlimit=109.11019999999999; southlimit=-40.1056; eastlimit=155.811; northlimit=-9.6412; projection=WGS84&rft_rights=Creative Commons Attribution-Noncommercial 4.0 Licence https://creativecommons.org/licenses/by-nc/4.0/&rft_rights=Access to the data is restricted&rft_rights=All Rights (including copyright) CSIRO 2025.&rft_subject=Agriyieldz&rft_subject=APSIM&rft_subject=Continental&rft_subject=Wheat&rft_subject=Agricultural spatial analysis and modelling&rft_subject=Agriculture, land and farm management&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution-Noncommercial 4.0 Licence
https://creativecommons.org/licenses/by-nc/4.0/

Access to the data is restricted

All Rights (including copyright) CSIRO 2025.

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Full description

AgriYieldz: The Wheat Crop Production Estimator AgriYieldz provides information about the historical yield potential of a paddock for every year from 1990 to 2023 (33) years. To estimate potential yield, it uses best available soil information, real rainfall data, and assumes the paddock was sown to wheat, every year. It also assumes no other constraints such as suffering from a lack of nitrogen, or impacts of weeds, disease or frost
Lineage: AgriYieldz is generated on an 11km2 climate grid, for each soil in the grid. A simulation is performed for each combination of soil and climate. Wheat yields are calculated using soil types from the ASRIS national soil grid of Australia. Historical climate data is provided by the Bureau of Meteorology. Yields from six different cultivars are simulated. Cultivars represent the variations in phenology and cultivar options include Bolac, Braewood, H45, Illabo, Ouyen, Scepter and Sunstate. The simulation assumes wheat was grown every year, for the last 30 years. With the APSIM crop model, management was set so that the crop was grown with unlimited nitrogen and was free from weeds and disease. Two yields are provided, one where frost and heat damage are calculated, and another where these were excluded from the estimate of yield potential.

Available: 2025-07-08

Data time period: 1990-01-01 to 2024-03-31

This dataset is part of a larger collection

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155.811,-9.6412 155.811,-40.1056 109.1102,-40.1056 109.1102,-9.6412 155.811,-9.6412

132.4606,-24.8734

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ACN 633 798 857