Local response to nitrogen inputs: advancing SSCM within Local response to nitrogen inputs: advancing SSCM within

B.M. Whelan; J.A. Taylor

Local response to nitrogen inputs: advancing SSCM within Local response to nitrogen inputs: advancing SSCM within

In: Precision Agriculture â05

Authors:

B.M. Whelan

B.M. Whelan Australian Centre for Precision Agriculture, McMillan Building, A05, University of Sydney, NSW 2006, Australia

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J.A. Taylor

J.A. Taylor Australian Centre for Precision Agriculture, McMillan Building, A05, University of Sydney, NSW 2006, Australia

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Type:: Chapter

Pages:: 865â872

DOI:: https://doi.org/10.3920/978-90-8686-549-9_106

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From a number of fields studied over two seasons, it is emerging that site-specific responses to inputs is indeed a plausible outcome under Australian conditions. Empirical response function data from two fields are used here to provide initial financial estimates of the potential economic and environmental implications under some Australian conditions. Not unexpectedly, the potential benefits are site-specific. A simple approach is used to partition between potential financial and environmental benefits which suggests that for a particular field, both may be of a similar order of magnitude. However, the variability in seasonal conditions (particularly quantity and timing of rainfall in relation to evapotranspiration processes) makes the assessment of site-specific crop management (SSCM) in Australia problematic. It appears that the construction of useful decision support systems (DSS) for the variable-rate application of nitrogen will require information on seasonal changes in the soil moisture regime and more complete tracking of the fate of applied and indigenous nitrogen. On-harvester protein sensing systems should play a vital role in nitrogen DSS for Australia.

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Precision Agriculture â05

E-Book ISBN:: 9789086865499

Publisher:: Wageningen Academic

Print Publication Date:: 24 Oct 2005

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Local response to nitrogen inputs: advancing SSCM within Local response to nitrogen inputs: advancing SSCM within

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