Kelly, R.M. and Strong, W.M. and Jensen, T.A. and Butler, D. (2004) Application of probability analysis to assess nitrogen supply to grain crops in northern Australia. Precision Agriculture: An International Journal on Advances in Precision Agriculture, 5 (2). pp. 95-110.
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Article Link(s): http://dx.doi.org/10.1023/B:PRAG.0000022356.01537....
Publisher URL: http://www.springerlink.com
Grain yield and protein of cereal crops in northern Australia provides a useful indicator of the supply of available nitrogen (N) to the crop. Our intention was to utilize these principles on a site-specific basis through an associated probabilistic framework to identify the likelihood that grain yield was limited by N supply. Yield and protein data were taken at harvest from sorghum, wheat and barley crops near Dalby, southern Queensland, in 1999. Considerable variation was found in grain yield for the 3 crops, but less so for grain protein. Frequency-response relationships, derived from historical multiple N field experiments, were applied to identify areas where grain yield was limited by N supply. This approach indicated that there was a 60% or higher likelihood that plant-available N was yield-limiting for 17, 23, and 26% of the area sown to sorghum, wheat and barley, respectively. These areas were not necessarily those where crop yield was relatively low. Calculation of N removal and N supply, using N transfer efficiency relationships, verified that those areas with a high likelihood of response to N had considerably lower supplies of N compared to other areas. The application of probability analysis offers a unique strategy to identify within-field areas where N supply could be yield-limiting, and provides a rationale for predicting the spatial variation and likely range of N supplies for successive seasons.
|Corporate Creators:||Department of Employment, Economic Development and Innovation (DEEDI), Agri-Science, Crop and Food Science, Plant Science|
|Business groups:||Agri-Science, Crop and Food Science|
|Additional Information:||© Springer.|
|Keywords:||Precision agriculture; grain protein; geographical information systems; site specific nitrogen management; grain protein variation; likelihood mapping; grain nitrogen; nitrogen supply; yield mapping.|
|Subjects:||Plant culture > Field crops > Grain. Cereals|
Agriculture > Agriculture (General) > Fertilisers
|Deposited On:||22 Jan 2009 05:35|
|Last Modified:||25 Oct 2011 04:44|
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