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Use of near infrared reflectance spectroscopy to predict nitrogen uptake by winter wheat within fields with high variability in organic matter

Stenberg, Bo and Jonsson, Anders and Börjesson, Thomas (2005). Use of near infrared reflectance spectroscopy to predict nitrogen uptake by winter wheat within fields with high variability in organic matter. Plant and soil. 269, 251-258
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Official URL: http://dx.doi.org/10.1007/s11104-004-0556-1

Abstract

In this study, the ability to predict N-uptake in winter wheat crops using NIR-spectroscopy on soil samples was evaluated. Soil samples were taken in unfertilized plots in one winter wheat field during three years (1997-1999) and in another winter wheat field nearby in one year (2000). Soil samples were analyzed for organic C content and their NIR-spectra. N-uptake was measured as total N-content in aboveground plant materials at harvest. Models calibrated to predict N-uptake were internally cross validated and validated across years and across fields. Cross-validated calibrations predicted N-uptake with an average error of 12.1 to 15.4 kg N ha-1. The standard deviation divided by this error (RPD) ranged between 1.9 and 2.5. In comparison, the corresponding calibrations based on organic C alone had an error from 11.7 to 28.2 kg N ha-1 and RPDs from 1.3 to 2.5. In three of four annual calibrations within a field, the NIR-based calibrations worked better than the organic C based calibrations. The prediction of N-uptake across years, but within a field, worked slightly better with an organic C based calibration than with a NIR based one, RPD = 1.9 and 1.7 respectively. Across fields, the corresponding difference was large in favour of the NIR-calibration, RPD = 2.5 for the NIR-calibration and 1.5 for the organic C calibration. It was concluded that NIR-spectroscopy integrates information about organic C with other relevant soil components and therefore has a good potential to predict complex functions of soils such as N-mineralization. A relatively good agreement of spectral relationships to parameters related to the N-mineralization of datasets across the world suggests that more general models can be calibrated.

Authors/Creators:Stenberg, Bo and Jonsson, Anders and Börjesson, Thomas
Title:Use of near infrared reflectance spectroscopy to predict nitrogen uptake by winter wheat within fields with high variability in organic matter
Series/Journal:Plant and soil (0032-079X)
Year of publishing :2005
Volume:269
Page range:251-258
Publisher:Springer
Associated Programs and Other Stakeholders:SLU - Research Areas for the Future > Future Agriculture
SLU - Agricultural Sciences for Global Development > Efficiency in farming systems
ISSN:0032-079X
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Accepted version
Full Text Status:Public
Agris subject categories.:P Natural resources > P30 Soil science and management
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Agricultural Science
(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Soil Science
Keywords:NIR, nitrogen mineralization, organic carbon, PLS, precision agriculture, within-field variation
URN:NBN:urn:nbn:se:slu:epsilon-e-907
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-907
ID Code:9484
Department:(NL, NJ) > Dept. of Soil and Environment
(S) > Dept. of Soil and Environment
External funders:Stiftelsen Lantbruksforskning
Deposited By: Dr Bo Stenberg
Deposited On:13 Mar 2013 14:31
Metadata Last Modified:30 Mar 2015 03:00

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