Spatial relationships between soil amino sugar nitrogen, soil properties and landscape attributes

In: Precision Agriculture ‘05
Authors:
J.D. Williams 1North Carolina State University, Soil Science Department, Box 7619, Raleigh, NC, USA
jdwilli3@unity.ncsu.edu

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C.R. Crozier 2North Carolina State University, Soil Science Department, 207 Research Station Rd., Plymouth, NC, USA

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D.A. Crouse 1North Carolina State University, Soil Science Department, Box 7619, Raleigh, NC, USA

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J.G. White 2North Carolina State University, Soil Science Department, 207 Research Station Rd., Plymouth, NC, USA

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J. Bang 2North Carolina State University, Soil Science Department, 207 Research Station Rd., Plymouth, NC, USA

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M. Duffera 2North Carolina State University, Soil Science Department, 207 Research Station Rd., Plymouth, NC, USA

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Type:
Chapter
Pages:
303–309
DOI:
https://doi.org/10.3920/978-90-8686-549-9_038

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The soil amino sugar nitrogen (ASN) test has been developed to predict corn (Zea mays L.) nitrogen (N) need, but ASN varies widely within fields. This study examined the spatial relationships of ASN with soil and landscape properties to develop a better N management strategy. The study was conducted on a loamy sand field in North Carolina, USA. Amino sugar N was correlated with humic matter (HM; r2 = 0.61) and soil texture (r2 = 0.55 - 0.63). These correlations confirm that ASN can be used to create a variable rate N application, because it is spatial sensitive to soil properties that influence N availability. Amino sugar N soil sampling zones can be created from maps of HM, soil texture, and soil type to reduce sampling costs and time.

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Cover Precision Agriculture ‘05
E-Book ISBN:
9789086865499
Publisher:
Wageningen Academic
Print Publication Date:
24 Oct 2005
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