Extensive in situ monitoring in a young commercial apple orchard demonstrated that current management practices resulted in leaching of 56 to 84 kg ha^–1 yr^–1 of nitrate below the topsoil. The Hydrus 2D/3D suite of models was used to determine the effect of current management practices on nitrate leaching and explore options for reducing irrigation and nitrate loss. The models were parameterized using measured soil water retention data and calibrated using field data collected over a 596-d period. The orchard was found to be profoundly ‘leaky’ with between 15 and 33% of the average annual rainfall being lost via runoff and deep drainage under rainfed conditions. Simulations estimated that the current management of the young trees resulted in loss of 38.1 kg N ha^–1 yr^–1 or 46% of the applied nitrate, and 34.6 cm yr^–1 of rainfall and irrigation as drainage below 2.0 m depth. For mature trees, our model scenarios predicted that converting from sprayers to drippers, would reduce the required irrigation by 44%, reduce nitrate requirement by 21%, and reduce deep drainage and nitrate leaching by 37%. Deficit-based irrigation and fertigation scheduling had minimal effect on the amount of deep drainage and nitrate leaching. In mature trees, excluding green fowl manure from the fertilizer regime was predicted to reduce the amount of nitrate leached below the soil profile by 12.9 kg N ha^–1 yr^–1 or by 73%. However rates of NPK and fertigation needed to be increased to meet tree nitrogen demand.

Item Type:	Refereed Article
Keywords:	Hydrus, nitrate, apple modelling, leaf area index, one dimensional, two dimensional, 1D, 2D, LAI
Research Division:	Environmental Sciences
Research Group:	Soil Sciences
Research Field:	Soil Physics
Objective Division:	Environment
Objective Group:	Land and Water Management
Objective Field:	Farmland, Arable Cropland and Permanent Cropland Land Management
UTAS Author:	Hardie, M (Mr Marcus Hardie)
ID Code:	121750
Year Published:	2017
Deposited By:	Tasmanian Institute of Agriculture
Deposited On:	2017-10-13
Last Modified:	2018-05-24
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