Near Infrared Spectroscopic Analysis of Undried Silages as Influenced by Sample Grind, Presentation Method, and Spectral Region

Reeves, James B.; Blosser, T.H.

doi:10.3168/jds.s0022-0302(91)78237-4

Cited by 30 publications

(19 citation statements)

References 5 publications

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“…This indicates that, in the wet state, factors such as subsampling, particle size and residual moisture on the sample surface could affect the calibration performance. 25,26 Variations in particle size can account for up to 90% of the variance in NIR spectra and can in¯uence the predicted values. Optical effects due to moisture on the cover glass also cause some degree of interference.…”

Section: Methodsmentioning

confidence: 99%

Determination of dry matter and crude protein contents of undried forages by near-infrared reflectance spectroscopy

Cozzolino

Labandera²

2002

J. Sci. Food Agric.

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Near-infrared re¯ectance spectroscopy (NIRS) was used to predict the dry matter (DM) and crude protein (CP) contents of untreated forage samples. Four hundred forage samples were analysed in re¯ectance mode. Two mathematical treatments based on the order of derivative of log(1/R), the gap in data points and the numbers of data points used in the ®rst and second smoothings were applied. Predictive equations were developed using modi®ed partial least squares (MPLS) with internal crossvalidation. The coef®cient of determination of calibration R 2 cal and the standard error of crossvalidation (SECV, in parentheses) for DM were 0.92 (12.4), 0.92 (12.6) and 0.93 (11.7) for the two treatments and log(1/R) respectively on a g kg À1 fresh weight basis. For CP the NIRS calibration statistics yielded R 2 cal and SECV (in parentheses) values of 0.85 (19.8), 0.85 (19.5) and 0.87 (18.1) for the two treatments and log(1/R) respectively on a g kg À1 fresh weight basis. It was concluded that NIRS is a suitable method to predict the dry matter and crude protein contents of fresh forage without sample preparation.

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Section: Methodsmentioning

confidence: 99%

Determination of dry matter and crude protein contents of undried forages by near-infrared reflectance spectroscopy

Cozzolino

Labandera²

2002

J. Sci. Food Agric.

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“…Reeves . Reeves Reeves et al 17 described that using fresh samples samples was more convenient, would allow rapid composition determore convenient, would allow rapid composition determination on-site and did not induce composition changes due id not induce composition changes due not induce composition changes due to drying. So NIR analysis of fresh animal manure compost is recommended.…”

Section: Parametermentioning

confidence: 98%

Rapid Estimation of the Composition of Animal Manure Compost by near Infrared Reflectance Spectroscopy

Huang

Han

Liu

2007

Journal of Near Infrared Spectroscopy

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Composting of animal manure is an effective method of managing organic waste in agriculture and reducing environmental and human health risks. Rapid determination of composition of animal manure compost could facilitate the composting process and improve the quality of compost products. This study aimed to explore the feasibility of analysing the composition of animal manure compost based on a dried and fresh weight basis using near infrared (NIR) reflectance spectroscopy. A total of 120 animal manure (NIR) reflectance spectroscopy. A total of 120 animal manure reflectance spectroscopy. A total of 120 animal manure compost samples, collected from 22 provinces in China, were scanned (4000-10,000 cm -1 ) and NIR calibrations were developed by partial least-square regression. Results showed that for dried and milled animal manure compost samples, the NIR method could accurately predict the contents of volatile solid (VS), total organic carbon (TOC) and total nitrogen (TN). The validation coefficient of determination (r 2 ) and the ratio of the standard deviation of the reference data in the validation set to the standard error of prediction (RPD) were 0.85 (2.60), 0.85 (2.56) and 0.97 (6.95), respectively. For fresh animal manure compost samples, the NIR method could provide accurate predictions of moisture, electriconic conductivity, VS, TOC and TN content with r 2 and RPD of 0.98 (7.48), 0.90 (3.10), 0.94 (4.05) 0.91 (3.17), and 0.97 (6.11), respectively. Poorer calibrations were obtained for pH, carbon to nitrogen Poorer calibrations were obtained for pH, carbon to nitrogen ratio and total phosphorus using either dry or fresh samples. Overall, the results indicated that NIR analysis could be very useful for the rapid quality evaluation of animal manure compost.

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“…Although NIRS analysis of fresh samples is less accurate, it is more convenient to use fresh than dried samples, allowing rapid prediction of the composition onsite without drying losses (Reeves and Blosser, 1991). Therefore, the decision depends on the circumstances and the individual needs of the user.…”

Section: Nir Predictionsmentioning

confidence: 99%

“…In order to overcome this problem, Reeves and Blosser (1989) used dry ice or liquid N to grind the silage sample, but there is also very complicated. It was concluded that when not using dry ice, the undried silage samples treated in a wiley grinder gave better calibration results than that treated in a Hobart chopper and intact materails, and even intact silage samples could be used for CP determination (Reeves and Blosser, 1991).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of near-infrared reflectance spectroscopy (NIRS) for predicting chemical composition of straw silage

Liu¹,

Han²

2006

J. Anim. Feed Sci.

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A representative population of 157 straw silages was used as database for studying the possibilities of NIRS to predict chemical composition. NIRS calibrations were developed by means of modified partial least-squares (MPLS) regression. NIRS analysis of dried straw silages provided accurate predictions of dry matter (DM), crude protein (CP), neutral detergent fibre (NDF), acid detergent fibre (ADF), hemicellulose, ash and lactic acid content as well as pH, with correlation coefficients of crossvalidation (R

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Near Infrared Spectroscopic Analysis of Undried Silages as Influenced by Sample Grind, Presentation Method, and Spectral Region

Cited by 30 publications

References 5 publications

Determination of dry matter and crude protein contents of undried forages by near-infrared reflectance spectroscopy

Determination of dry matter and crude protein contents of undried forages by near-infrared reflectance spectroscopy

Rapid Estimation of the Composition of Animal Manure Compost by near Infrared Reflectance Spectroscopy

Evaluation of near-infrared reflectance spectroscopy (NIRS) for predicting chemical composition of straw silage

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