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Performance assessment of the cellulose absorption index method for estimating crop residue cover

Permanent URL:
http://handle.nal.usda.gov/10113/57089
File:
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Abstract:
Accurate and quick field estimation of crop residues are important for carbon sequestration and biofuel production programs. Landscape-scale assessment of this vital information has promoted the use of remote sensing technology. The cellulose absorption index (CAI) technique has outperformed other indices for discriminating bare soil and crop residue in the Midwest, but has not been done in the Pacific Northwest and the Central and Northern Great Plains regions of the USA. The objective is to assess the performance of CAI in these regions. Malting barley (Hordeum vulgare L.), spring wheat (Triticum aestivum L.), durum (Triticum turgidum L.) and field pea (Pisum sativum L.), and fallow following spring wheat and proso millet (Panicum miliaceum L.) were used in the assessment. Using a portable ground-based spectroradiometer, transect line and photo-grid methods, crop residue cover was measured after 2009 harvest season. Samples were collected for laboratory analyses. Linear regression analysis showed CAI explained 58-72% of the variation in the residue cover. Field pea and fallow residue cover had better correlation with CAI than did small grain crop residues. Field and laboratory measurement of CAI showed that varying pea residue cover responded significantly different with other crop residues. The performance of CAI was affected by the type of crop rather than by location and soil type in the region. Among other measured parameters, percent crop residue cover, hemicellulose, and residue amount were most correlated with CAI. Results document that CAI can quickly and effectively estimate percent residue cover in the regions.
Author(s):
J. Aguilar , R. Evans , C. S.T. Daughtry
Subject(s):
Hordeum vulgare , Panicum miliaceum subsp. miliaceum , Pisum sativum , Triticum aestivum , Triticum turgidum , absorption , carbon sequestration , cellulose , cover crops , crop residues , durum wheat , fallow , grain crops , hemicellulose , linear models , malting barley , peas , regression analysis , remote sensing , soil types , spring wheat , Great Plains region , Pacific States
Source:
Journal of soil and water conservation 2012 v.67 no.3
Language:
English
Year:
2012
Collection:
Journal Articles, USDA Authors, Peer-Reviewed
Rights:
Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.