Prediction of Forage Quality Using Near Infrared Reflectance Spectroscopy on Esophageal Fistula Samples from Cattle on Mountain Range

Holechek, Jerry L.; Shenk, J. S.; Vávra, Martin; Arthun, Dave

doi:10.2527/jas1982.554971x

Cited by 27 publications

(9 citation statements)

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“…For all calibrations, SEP values were comparable with SEC or slightly higher, because SEP includes both the error associated with chemical analysis and the error associated with the NIRS equipment (Holechek et al, 1982). The accuracy of the calibration can be evaluated based on the RPD and the RER statistics, and this confirms the high precision of the equations developed, with values larger than the minimum recommended for prediction uses (RER over 10 and RPD over 3) according to Williams and Sobering (1996).…”

Section: Developed Nirmentioning

confidence: 70%

Detection of low-level gluten content in flour and batter by near infrared reflectance spectroscopy (NIRS)

Albanell

Miñarro

Carrasco³

2012

Journal of Cereal Science

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Section: Developed Nirmentioning

confidence: 70%

Detection of low-level gluten content in flour and batter by near infrared reflectance spectroscopy (NIRS)

Albanell

Miñarro

Carrasco³

2012

Journal of Cereal Science

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“…The standard error of prediction (SEP) was comparable to SEC or even smaller. This may be explained by the fact that the SEP includes, as well as the error associated with wet chemical analysis, the error associated with the NIRS (Holechek et al, 1982). However the SEP did not exceed the SEC by 33% as suggested by Shenk et al (1981).…”

Section: Nirs Analysismentioning

confidence: 93%

A note on prediction of maize stover quality by near-infrared reflectance spectroscopy (NIRS) technique

Albanell

Plaixats²,

Más³

1997

J. Anim. Feed Sci.

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Near-infrared reflectance spectroscopy (NIRS) technique was investigated as a means of predicting quality parameters in semi-exotic maize stover. These parameters included neutral detergent fibre (NDF) and in vitro dry matter (DM) digestibility. Samples of semi-exotic maize stover were formed by crossing the exotic material Across 8443 La Posta with inbred Mo 17.An InfraAlyzer 450 (Bran + Luebbe) was used for the study. Calibration equations were obtained by multiple linear regression from 162 samples and verified with 18 additional samples. The coeffcients of multiple correlation obtained were 0.92 for NDF and 0.93 for DM digestibility and the standard errors of calibration were 1.30 and 2.56, respectively. The study showed sufficient accuracy in the prediction of NDF and digestible DM content in semi-exotic maize stover for use in the plant breeding programme.

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“…This analytical technique has been used in the last decade in ecological studies to predict the C and N concentration in soils (Dalal and Henry 1986;Morra et al 1991), the nitrogen and carbon fraction (lignin and cellulose) concentration in forest foliage (Card et al 1988;Wessman et al 1988;McLellan et al 1991b;Meuret et al 1993; Lacaze and Jore 1994;Martin and Aber 1994;Bolster et al 1996), and in decaying litter (McLellan et al 1991a;Jore et al 1992). NIRS can also be used to predict certain functional properties of plant material, such as digestibility (Holechek et al 1982;Duncan et al 1987;Meuret et al 1993), the calori®c value (Gillon et al 1997), litter decomposability (according to Gillon et al 1999), or the stage of litter decomposition (Gillon et al 1993). Physicochemical properties of soils, such as percent clay and cation exchange capacity (Ben-Dor and Banin 1995), and biological properties (Nilsson et al 1992;Fritze et al 1994) can also be predicted by NIRS.…”

Section: Introductionmentioning

confidence: 99%

Using near-infrared reflectance spectroscopy to predict carbon, nitrogen and phosphorus content in heterogeneous plant material

1999

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The aim of this study was to produce calibration equations between near-infrared reflectance (NIR) spectra and the concentrations of carbon, nitrogen, and phosphorus in heterogeneous material: from living needles to litter in Pinus halepensis stands subjected to prescribed burnings. The aim was to determine whether calibrations should be conducted within each stage in the transformation of needles (local calibrations), giving relationships that were accurate but valid only for each particular stage, or whether it was possible to integrate the various forms of variation in needles (global calibrations) while retaining an acceptable accuracy. A principal component analysis calculated from the sample spectral data was used to distinguish three different sets, each sharing spectral characteristics and corresponding to three categories of needle: needles collected on the pines (N), falling needles (F), and litter (L), and each containing samples collected from the burnt sites and a control site. Samples representative of all the forms of variation in spectral properties were selected from within each category and their carbon, nitrogen, and phosphorus concentrations were measured using standard wet chemistry methods; these constituted the calibration sets n, f, and l. Calibrations were produced between the nutrient concentrations and the NIR spectra of the calibration sets n, f, and l and the grouped sets (n+f, f+l, n+f+l). The results of local calibrations made from each individual category showed that the carbon, nitrogen, and phosphorus concentrations were accurately predictable by NIR spectra. The global calibrations made by lumping together several categories were valid for a wider range of concentrations and for spectrally heterogeneous materials and in most cases were just as accurate as the local calibrations produced from each individual category.

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Prediction of Forage Quality Using Near Infrared Reflectance Spectroscopy on Esophageal Fistula Samples from Cattle on Mountain Range

Cited by 27 publications

References 0 publications

Detection of low-level gluten content in flour and batter by near infrared reflectance spectroscopy (NIRS)

Detection of low-level gluten content in flour and batter by near infrared reflectance spectroscopy (NIRS)

A note on prediction of maize stover quality by near-infrared reflectance spectroscopy (NIRS) technique

Using near-infrared reflectance spectroscopy to predict carbon, nitrogen and phosphorus content in heterogeneous plant material

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