Calibration of a Near-infrared Transmission Grain Analyser for Extractable Starch in Maize

Paulsen, Marvin R; Singh, Mukti

doi:10.1016/j.biosystemseng.2004.05.009

Cited by 29 publications

(17 citation statements)

References 1 publication

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“…The grain was analyzed by a Near Infrared (NIR) spectrometer using the Infrared Foss 1241 Grain Analyzer (Eden Prairie, MN). The calibration used was that already established in previous work (18,19,31). Considering the moisture content during the analysis, the starch content reported in this paper was normalized to 15% moisture.…”

Section: Methodsmentioning

confidence: 99%

Impact of Nitrogen Fertilization on Nutrient Removal by Corn Grain

2011

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Nitrogen fertilization and nutrient removal are some of the greatest challenges associated with the production of bioethanol from corn grain in the United States. The project was conducted in Missouri from 2008 to 2009 in a silt loam soil to determine the effect of N fertilization on the nutrient removal by corn grain. Corn grain removed 31 to 201 kg N/ha, 10 to 102 kg K/ha, 3 to 20 kg P/ha, 0.6 to 11 kg Ca/ha, 0.7 to 2.7 kg Fe/ha, 0.045 kg Mn/ha, and 0.003 kg Cu/ha, depending on the N rate. Our results suggest that as farmers add N to their soil to improve the grain or starch yield, they will also be increasing the nutrient removal, therefore affecting the fertility of their fields if the nutrient removal is not offset.

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Section: Methodsmentioning

confidence: 99%

Impact of Nitrogen Fertilization on Nutrient Removal by Corn Grain

2011

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“…Grain moisture was adjusted to 150 g kg -1 prior to analysis. Grain samples were collected and ten subsamples analyzed for oil, protein, starch, and extractable starch with a Foss 1241 (Eden Prairie, MN) near infrared spectrometer using previously established calibrations (Paulsen, Pordesimo, Singh, Mbuvi, & Ye, 2003;Paulsen & Singh, 2004;Singh, Paulsen, Tian, & Yao, 2005).…”

Section: Introductionmentioning

confidence: 99%

Utility of Dried Distillers Grain as a Fertilizer Source for Corn

Nelson¹,

Motavalli²,

Smoot³

2009

JAS

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Increased ethanol production may result in excessive dried distillers grains (DDGs) that could be utilized as a fertilizer source for corn (Zea mays L.). Research was conducted to evaluate the effects of 1) DDG rates on weed suppression, changes in soil properties, and differences in grain yield and quality and 2) DDGs, polymer-coated urea (PCU), and anhydrous ammonia (AA) fertilizer sources on grain yield and quality. DDGs had a total N-P-K composition of 38.2-6.9-11.5 g kg -1 , respectively. There was no corn injury, common cocklebur or jimsonweed control with DDG rates up to 3600 kg ha -1 . Corn grain yield increased 1.41 and 1.56 kg ha -1 for every kg ha -1 of DDGs applied in medium and high yield environments, respectively. Grain yield was ranked non-treated control < DDGs < AA = PCU when fertilizers were applied at N equivalent rate of 140 kg ha -1 in medium and high yield environments.

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“…In pure water, hydrogen molecules that attached with O-H groups are considered as free hydrogen, i.e., it does not attach with any other foreign molecules. This kind of free hydrogen O-H groups give more intensive absorption peaks at lower wavelengths such as for pure water at 975 nm [26] [27] (Marvin and Singh, 2004;Inoue et al, 1984). But the O-H groups with hydrogen molecules that are bonded with carbon, nitrogen or some other molecules as in cellulose, hemicellulose and lignin contents give the water absorption peaks at higher wavelengths.…”

Section: Resultsmentioning

confidence: 99%

Application of NIR Reflectance Spectroscopy on Rapid Determination of Moisture Content of Wood Pellets

Sundaram¹,

Mani²,

Kandala³

et al. 2015

AJAC

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NIR spectroscopy was used to measure the moisture concentration of wood pellets. Pellets were conditioned to various moisture levels between 0.63% and 14.16% (wet basis) and the moisture concentration was verified using a standard oven method. Samples from various moisture levels were separated into two groups, as calibration and validation sets. NIR absorption spectral data from 400 nm to 2500 nm with 0.5 nm intervals were collected using pellets within the calibration and validation sample sets. Spectral wavelength ranges were taken as independent variables and the MC of the pellets as the dependent variable for the analysis. Measurements were obtained on 30 replicates within each moisture level. Partial Least Square (PLS) analysis was performed on both raw and preprocessed spectral data of calibration set to determine the best calibration model based on Standard Error of Calibration (SEC) and coefficient of multiple determinations (R 2 ). The PLS model that yielded the best fit was used to predict the moisture concentration of validation group pellets. Relative Percent Deviation (RPD) and Standard Error of Prediction (SEP) were calculated to validate goodness of fit of the prediction model. Baseline and Multiple Scatter Corrected (MSC) reflectance spectra with 1 st derivative model gave the highest RPD value of 4.46 and R 2 of 0.95. Also it's SEP (0.670) and RMSEP (0.782) were less than the other models those had RPD value more than 3.0 with less number of factors. Therefore, this model was selected as the best model for moisture content prediction of wood pellets.

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Calibration of a Near-infrared Transmission Grain Analyser for Extractable Starch in Maize

Cited by 29 publications

References 1 publication

Impact of Nitrogen Fertilization on Nutrient Removal by Corn Grain

Impact of Nitrogen Fertilization on Nutrient Removal by Corn Grain

Utility of Dried Distillers Grain as a Fertilizer Source for Corn

Application of NIR Reflectance Spectroscopy on Rapid Determination of Moisture Content of Wood Pellets

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