Abstract
Near-infrared spectroscopy was evaluated as a means to quantify the nitrogen content in fresh cotton leaves (Gossypium hirsutum L. var. Delta Pine 90) subjected to a factorial design experiment of varying nitrogen and water applications. Absorbance spectra were collected in the 10 000-4000 cm-1 (1000-2500 nm) region from fresh cotton leaves over a two month portion of the growing season. Total nitrogen content was quantified by a wet chemistry Kjeldahl method for validation purposes. Partial least-squares regression analysis, using an automated grid search method, selected the spectral region 6041 to 5651 cm-1 (1650-1770 nm) for analysis based on having the lowest standard error of prediction of total nitrogen content. This region includes protein spectral features. Nitrogen predictions resulted in a correlation coefficient of 0.83, and a standard error of prediction of 0.29% for nitrogen levels ranging from 3.1 to 5.2% total nitrogen. This approach has promise for providing rapid plant chemical analyses for cotton crop fertilization management purposes.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1484-1489 |
| Number of pages | 6 |
| Journal | Applied Spectroscopy |
| Volume | 56 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 1 2002 |
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Keywords
- Leaf spectroscopy
- Near-infrared spectroscopy
- Nitrogen determination
- Partial least-squares regression
ASJC Scopus subject areas
- Spectroscopy
- Instrumentation
Cite this
FT-NIR spectroscopic analysis of nitrogen in cotton leaves. / Riley, Mark; Cánaves, Loreto C.
In: Applied Spectroscopy, Vol. 56, No. 11, 01.11.2002, p. 1484-1489.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - FT-NIR spectroscopic analysis of nitrogen in cotton leaves
AU - Riley, Mark
AU - Cánaves, Loreto C.
PY - 2002/11/1
Y1 - 2002/11/1
N2 - Near-infrared spectroscopy was evaluated as a means to quantify the nitrogen content in fresh cotton leaves (Gossypium hirsutum L. var. Delta Pine 90) subjected to a factorial design experiment of varying nitrogen and water applications. Absorbance spectra were collected in the 10 000-4000 cm-1 (1000-2500 nm) region from fresh cotton leaves over a two month portion of the growing season. Total nitrogen content was quantified by a wet chemistry Kjeldahl method for validation purposes. Partial least-squares regression analysis, using an automated grid search method, selected the spectral region 6041 to 5651 cm-1 (1650-1770 nm) for analysis based on having the lowest standard error of prediction of total nitrogen content. This region includes protein spectral features. Nitrogen predictions resulted in a correlation coefficient of 0.83, and a standard error of prediction of 0.29% for nitrogen levels ranging from 3.1 to 5.2% total nitrogen. This approach has promise for providing rapid plant chemical analyses for cotton crop fertilization management purposes.
AB - Near-infrared spectroscopy was evaluated as a means to quantify the nitrogen content in fresh cotton leaves (Gossypium hirsutum L. var. Delta Pine 90) subjected to a factorial design experiment of varying nitrogen and water applications. Absorbance spectra were collected in the 10 000-4000 cm-1 (1000-2500 nm) region from fresh cotton leaves over a two month portion of the growing season. Total nitrogen content was quantified by a wet chemistry Kjeldahl method for validation purposes. Partial least-squares regression analysis, using an automated grid search method, selected the spectral region 6041 to 5651 cm-1 (1650-1770 nm) for analysis based on having the lowest standard error of prediction of total nitrogen content. This region includes protein spectral features. Nitrogen predictions resulted in a correlation coefficient of 0.83, and a standard error of prediction of 0.29% for nitrogen levels ranging from 3.1 to 5.2% total nitrogen. This approach has promise for providing rapid plant chemical analyses for cotton crop fertilization management purposes.
KW - Leaf spectroscopy
KW - Near-infrared spectroscopy
KW - Nitrogen determination
KW - Partial least-squares regression
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U2 - 10.1366/00037020260377805
DO - 10.1366/00037020260377805
M3 - Article
VL - 56
SP - 1484
EP - 1489
JO - Applied Spectroscopy
JF - Applied Spectroscopy
SN - 0003-7028
IS - 11
ER -