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

Albanell, Elena; Plaixats, J.; Más, Margarita Taladriz

doi:10.22358/jafs/69567/1997

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…The wide range of values shown by the population of samples (Table 1) could explain this circumstance. 30 These results are similar to those reported for maize stover, 45 Cajanus cajan 46 and different grasses, 47 and our prediction of NDF content from NIR spectra seemed to be slightly better than those previously outlined for herbage pastures. 14,48 The calibration and validation statistics for the estimation of the acid detergent fibre (ADF) content (R 2 adj = 0.957, SEP = 13.62 g kg −1 DM, RPD = 3.94, ρ = 0.97) and acid detergent lignin (ADL) content (R 2 adj = 0.655, SEP = 7.18 g kg −1 DM, RPD = 1.84, ρ = 0.83) were poorer than those observed for the NDF fraction.…”

Section: Cell Wall Analysis Prediction Of Ndf Adf and Adl Contents Bsupporting

confidence: 90%

“…43 Most of the wavelengths selected for the estimation of the NDF, ADF and ADL contents were similar to those described previously by other authors. 13,14,35,37,40,45,51 In vitro digestibility Prediction of DMD TT , OMD TT and DMD GV As shown in Table 2, all the in vitro digestibility parameters (DMD TT , OMD TT and DMD GV ) could be successfully predicted by NIRS technology. Nevertheless, the R 2 adj and SEC were poorer for the model estimating DMD TT (R 2 adj = 0.819, SEP = 2.395% DM) than for that corresponding to DMD GV (R 2 adj = 0.891, SEP = 2.208% DM).…”

Section: Cell Wall Analysis Prediction Of Ndf Adf and Adl Contents Bmentioning

confidence: 94%

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Nutritive evaluation of herbage from permanent meadows by near‐infrared reflectance spectroscopy: 1. Prediction of chemical composition and in vitro digestibility

et al. 2005

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This study was implemented to evaluate the potential of near-infrared reflectance spectroscopy (NIRS) technology to estimate the chemical composition and in vitro digestibility of botanically complex herbage mixtures characterised, moreover, by a noteworthy variation among samples in the maturity of the forage plants. A total of 107 herbage samples harvested from permanent meadows located in the uplands of León (northwestern Spain) were analysed to determine their chemical composition. In addition, the in vitro digestibility of each herbage sample was measured by two different in vitro procedures using buffered rumen fluid. A Bran + Luebbe InfraAlyzer 500 spectrophotometer was used to obtain the near-infrared spectra corresponding to each herbage sample. Prediction equations developed for the estimation of the chemical components showed that NIRS technology could predict these parameters accurately, especially the crude protein and neutral detergent fibre contents (R 2 adj > 0.95 in both cases). In vitro digestibility parameters could also be predicted with an acceptable degree of accuracy using NIRS technology, particularly the in vitro Tilley and Terry organic matter digestibility (R 2 adj = 0.925, standard error of prediction (SEP) = 2.165% organic matter) and the in vitro dry matter true digestibility measured according to the Goering and Van Soest procedure (R 2 adj = 0.891, SEP = 2.208% dry matter).

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Section: Cell Wall Analysis Prediction Of Ndf Adf and Adl Contents Bsupporting

confidence: 90%

Section: Cell Wall Analysis Prediction Of Ndf Adf and Adl Contents Bmentioning

confidence: 94%

Nutritive evaluation of herbage from permanent meadows by near‐infrared reflectance spectroscopy: 1. Prediction of chemical composition and in vitro digestibility

et al. 2005

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Direct and indirect means of predicting forage quality through near infrared reflectance spectroscopy

Stuth

Jama

Tolleson

2003

Field Crops Research

130

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Prediction of neutral detergent fiber content in corn stover using near-infrared spectroscopy technique

Pan

Sun

et al. 2020

International Journal of Food Engineering

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Neutral detergent fiber (NDF) content was the critical indicator of fiber in corn stover. This study aimed to develop a prediction model to precisely measure NDF content in corn stover using near-infrared spectroscopy (NIRS) technique. Here, spectral data ranging from 400 to 2500 nm were obtained by scanning 530 samples, and Monte Carlo Cross Validation and the pretreatment were used to preprocess the original spectra. Moreover, the interval partial least square (iPLS) was employed to extract feature wavebands to reduce data computation. The PLSR model was built using two spectral regions, and it was evaluated with the coefficient of determination (R2) and root mean square error of cross validation (RMSECV) obtaining 0.97 and 0.65%, respectively. The overall results proved that the developed prediction model coupled with spectral data analysis provides a set of theoretical foundations for NIRS techniques application on measuring fiber content in corn stover.

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

Cited by 4 publications

References 14 publications

Nutritive evaluation of herbage from permanent meadows by near‐infrared reflectance spectroscopy: 1. Prediction of chemical composition and in vitro digestibility

Nutritive evaluation of herbage from permanent meadows by near‐infrared reflectance spectroscopy: 1. Prediction of chemical composition and in vitro digestibility

Direct and indirect means of predicting forage quality through near infrared reflectance spectroscopy

Prediction of neutral detergent fiber content in corn stover using near-infrared spectroscopy technique

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