Investigation of a LOCAL Calibration Procedure for near Infrared Instruments

Shenk, J. S.; Westerhaus, M. O.; Berzaghi, Paolo

doi:10.1255/jnirs.115

Cited by 171 publications

(192 citation statements)

References 6 publications

(5 reference statements)

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“…This resulted in a nonlinear response and a tendency to underestimate the highest contents. The use of LOCAL regression algorithm based on large database has circumvented this restriction [83].…”

Section: Evolution and Improvements Of Quantifying Protocols For Caromentioning

confidence: 99%

Carotenoids in Cassava Roots

Ceballos¹,

Davrieux²,

Talsma³

et al. 2017

Carotenoids

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Vitamin A deficiency (VAD) is a preventable tragedy that affects millions of people, particularly in sub-Saharan Africa. A large proportion of these people rely on diets based on cassava as a source of calories. During the last two decades, significant efforts have been made to identify sources of germplasm with high pro-vitamin A carotenoids (pVAC) and then use them to develop cultivars with a nutritional goal of 15 μg g −1 of β-carotene (fresh weight basis) and good agronomic performance. The protocols for sampling roots and quantifying carotenoids have been improved. Recently, NIR predictions began to be used. Retention of carotenoids after different root processing methods has been measured. Bioavailability studies suggest high conversion rates. Genetic modification has also been achieved with mixed results. Carotenogenesis genes have been characterized and their activity in roots measured.

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Section: Evolution and Improvements Of Quantifying Protocols For Caromentioning

confidence: 99%

Carotenoids in Cassava Roots

Ceballos¹,

Davrieux²,

Talsma³

et al. 2017

Carotenoids

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“…Similar samples are selected using the correlation between the spectrum of the unknown and the spectrum of each of the database samples. Different PLS regression models were thus obtained for each sample according to different options in order to find the optimal models (Shenk et al, 1997). The options included: number of samples used; 40 to 200 steps of 40, number of PLS factors used; 10 to 40 step 5 and number of PLS factors removed 1 to 10 step 1.…”

Section: Nirs Prediction Of Feed Value Of Temperate Forages 1003mentioning

confidence: 99%

NIRS prediction of the feed value of temperate forages: efficacy of four calibration strategies

Andueza

Picard

Jestin

et al. 2011

Animal

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Near infrared reflectance spectroscopy (NIRS) of 924 fresh temperate forages were used to develop calibration models for chemical composition -crude ash (CA) and crude protein (CP) -organic matter digestibility (OMD) and voluntary intake (VI). We used 110 samples to assess the models. Four calibration strategies for determining forage quality were compared: (i) speciesspecific calibration, (ii) family-specific calibration, (iii) a global procedure and (iv) a local approach. Forage calibration data sets displayed CA values ranging from 52 to 205 g/kg of dry matter (DM), CP values from 50 to 280 g/kg DM, OMD values from 0.48 to 0.85 g/g and VI values from 22.5 to 115.2 g DM/kg metabolic body weight (BW 0.75 ). The calibration models performed well for all the variables except for VI. For CA, local procedure showed lower standard error of prediction (SEP) than species-specific, family-specific or global models. For CP, the calibration models all showed similar SEP values (11.13, 11.08, 11.38 and 11.34 g/kg DM for species-specific, family-specific, global and local approaches). For OMD, the local procedure gave a similar SEP (0.024 g/g) to specific species and global procedures (0.027 g/g) and a lower SEP than the family-specific approach (0.028 g/g). For VI, the local approach and species-specific calibration showed lower SEP (7.08 and 7.16 g/kg BW 0.75 ) than the broad-based calibrations (8.09 and 8.34 g/kg BW 0.75 for family-specific model and global procedure, respectively). Local calibration may thus offer a practical way to develop robust universal equations for animal response determinations.Keywords: chemical composition, in vivo organic matter digestibility, voluntary intake, near infrared reflectance spectroscopy ImplicationsThis study evaluates the utility of different near infrared reflectance spectroscopy (NIRS) calibration methods for predicting the feed value of fresh forages. We compare an alternative local approach with the more classical global approach. The local approach conserves all the advantages of NIRS technology (rapidity, non-contaminant technology and precision) and takes into account the number of samples and their diversity when large database are available. It overcomes the main limitation of NIRS, which is that the samples for prediction have to be close to those of the calibration population. The local approach could improve prediction of the nutritional value of feeds, and thus have important economic and environmental implications for animal nutrition. IntroductionRuminant performance is closely related to the digestibility and intake of feedstuffs. In most countries, knowledge of the feed value of forages is based on in vivo measurements made in castrated male sheep (Demarquilly et al., 1995 for a review). However, the large-scale application of in vivo digestibility trials for evaluating forage feed value is an expensive and time-consuming process that requires large amounts of feeds. As knowing these values is essential for controlled animal feeding, several methods have been d...

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“…This model is based on a small number of spectra from the calibration population selected on the basis of similarity to the unknown sample (based on a regression of the scores of the unknown sample against those of all members of a sample library) (Shenk and Westerhaus 1997). This procedure results in a model Table 1) (data not shown).…”

Section: Chemometricsmentioning

confidence: 99%

NIR model development and robustness in prediction of melon fruit total soluble solids

Guthrie

Liebenberg

Walsh

2006

Aust. J. Agric. Res.

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Abstract. Near infrared spectroscopy (NIRS) can be used for the on-line, non-invasive assessment of fruit for eating quality attributes such as total soluble solids (TSS). The robustness of multivariate calibration models, based on NIRS in a partial transmittance optical geometry, for the assessment of TSS of intact rockmelons (Cucumis melo) was assessed. The mesocarp TSS was highest around the fruit equator and increased towards the seed cavity. Inner mesocarp TSS levels decreased towards both the proximal and distal ends of the fruit, but more so towards the proximal end. The equatorial region of the fruit was chosen as representative of the fruit for near infrared assessment of TSS. The spectral window for model development was optimised at 695-1045 nm, and the data pre-treatment procedure was optimised to second-derivative absorbance without scatter correction. The 'global' modified partial least squares (MPLS) regression modelling procedure of WINISI (ver. 1.04) was found to be superior with respect to root mean squared error of prediction (RMSEP) and bias for model predictions of TSS across seasons, compared with the 'local' MPLS regression procedure. Updating of the model with samples selected randomly from the independent validation population demonstrated improvement in both RMSEP and bias with addition of approximately 15 samples.

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Investigation of a LOCAL Calibration Procedure for near Infrared Instruments

Cited by 171 publications

References 6 publications

Carotenoids in Cassava Roots

Carotenoids in Cassava Roots

NIRS prediction of the feed value of temperate forages: efficacy of four calibration strategies

NIR model development and robustness in prediction of melon fruit total soluble solids

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