Application of Near Infrared Reflectance Spectroscopy to Predict Fecal Composition and Its Use for Digestibility Estimation

Purnomoadi, Agung; Kurihara, Mitsunori; Nishida, Takehiro; Shibata, Masaki; Abe, Akira; Kameoka, K.

doi:10.2508/chikusan.67.851

Cited by 9 publications

(13 citation statements)

References 10 publications

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“…However, other groups provided precise and accurate calibrations for CF (Purnomoadi et al 1996;1997). The inability of our study to predict CF likely reflects the narrow range of fat (0.3 -2.8%) in fecal samples used to develop calibarations.…”

Section: Nirs Calibrations For Chemical Composition Of Fecesmentioning

confidence: 78%

“…Improvements in SEP were noted due to a greater variety of diets being represented in the full dataset, an observation similar to that of Coates and Dixon (2011) when they combined calibration sets based on fecal samples from cattle grazing pastures, in vivo digestibility trials, and short term pen trials. Our calibration and cross- (Purnomoadi et al 1996)]. Purnomoadi et al (1996) also found that calibrations for CF were not predictive for one group of samples.…”

Section: Nirs Calibrations For Chemical Composition Of Fecesmentioning

confidence: 82%

“…Our calibration and cross- (Purnomoadi et al 1996)]. Purnomoadi et al (1996) also found that calibrations for CF were not predictive for one group of samples.…”

Section: Nirs Calibrations For Chemical Composition Of Fecesmentioning

confidence: 82%

“…This could also reflect the low range in ADL concentration (0.7 -13%), and the occurrence of samples with low ADL concentration (≤ 1.0%). Accurate measurement of ADL using NIRS enabled previous researchers to use ADL as a digestibliity marker (Purnomoadi et al 1996(Purnomoadi et al , 1997Jancewicz et al 2016). In our recent study, ADL analysis was performed by one technician, and the coefficient of variation between replicates was below 2% ensuring excellent precision.…”

Section: Nirs Calibrations For Chemical Composition Of Fecesmentioning

confidence: 99%

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Development of NIRS calibrations to estimate fecal composition and nutrient digestibility in beef cattle.

Jancewicz¹,

Swift²,

Penner³

et al. 2016

Can. J. Anim. Sci.

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Section: Nirs Calibrations For Chemical Composition Of Fecesmentioning

confidence: 78%

Section: Nirs Calibrations For Chemical Composition Of Fecesmentioning

confidence: 82%

“…Our calibration and cross- (Purnomoadi et al 1996)]. Purnomoadi et al (1996) also found that calibrations for CF were not predictive for one group of samples.…”

Section: Nirs Calibrations For Chemical Composition Of Fecesmentioning

confidence: 82%

Section: Nirs Calibrations For Chemical Composition Of Fecesmentioning

confidence: 99%

See 2 more Smart Citations

Development of NIRS calibrations to estimate fecal composition and nutrient digestibility in beef cattle.

Jancewicz¹,

Swift²,

Penner³

et al. 2016

Can. J. Anim. Sci.

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“…It is well known that prediction by NIRS will be optimal if samples within the calibration set encompass a broad range in constituents to be measured and the unknown samples are of high similarity to those used to develop calibrations (Shenk et al 1979). It is also common practice in NIRS studies to use a subset of samples for developing calibration equations to be used to predict remaining samples within the same study (Purnomoadi et al 1996(Purnomoadi et al , 1997. Considering our samples met these criteria, they were suitable for the development of the calibrations for our study and this was evident in the greater R 2 val values for faecal constituents and the absence of outliers in samples with unknown constituents.…”

Section: Populationmentioning

confidence: 99%

Characterization of the variation in the daily excretion of faecal constituents and digestibility predictions in beef cattle fed feedlot diets using near-infrared spectroscopy

Jancewicz

Penner

Swift³

et al. 2016

Can. J. Anim. Sci.

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Six heifers were individually housed and assigned to once (FF1) or twice (FF2) daily feeding regimes over backgrounding and finishing periods. Following adaptation, total faecal collections were conducted at 4-h intervals and at 24-h intervals over 4 d, and near-infrared spectroscopy (NIRS) was used to predict faecal organic matter (OM), starch, nitrogen (N), neutral detergent fibre (NDF), acid detergent fibre (ADF), and acid detergent lignin (ADL). At each interval, NIRS calibrations were used to estimate faecal constituents and ADL to calculate apparent (aTTD) and estimated (eTTD) total tract digestibility. Faecal dry matter (DM) (%), NDF, and ADF varied among 4-h interval samples in the backgrounding period and faecal DM, starch, NDF, ADF, and ADL in the finishing period. Faecal starch was able to predict aTTD during both feeding periods (backgrounding: R2 = 0.96, P < 0.01; finishing: R2 = 0.98, P < 0.01). The NIRS calibrations for predicting aTTD using the 4-h interval samples or the 4-d–24-h composite were least accurate for NDF and ADF. Most 4-h interval samples could be used to predict eTTD of nutrients, and aside from starch in the finishing period, there were no differences in eTTD using faecal samples collected over 4-h intervals versus those collected over 4 d. Spot faecal samples collected at any time point from multiple cattle have the potential to predict digestibility. Timing of sampling after feeding must be standardized to predict starch digestibility during the finishing period, with samples between 0–4 h and 8–16 h generating estimates of both starch concentration and digestibility that were closest to that derived from 4-d–24-h composite samples.

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Predicting fecal composition, intake, and nutrient digestibility in beef cattle consuming high forage diets using near infrared spectroscopy

Peters

Swift²,

Penner

et al. 2023

Translational Animal Science

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The objective of this study was to develop near infrared-spectroscopy (NIRS) calibrations to predict fecal nutrient composition, intake, and diet digestibility from beef cattle fed high forage diets. Heifers were fed 12 different forage-based diets (> 95% forage dry matter basis) in 3 total collection digestibility studies, resulting in individual fecal samples and related spectra (n = 135), corresponding nutrient intake, and apparent total tract digestibility (aTTD) data. Fecal samples were also collected from steers grazing two annual and two perennial forage mixtures over two growing seasons. Samples (n = 13/paddock) were composited by paddock resulting in 30 samples from year one, and 24 from year two. The grazing fecal spectra (n = 54) were added to the existing fecal composition spectral library. Dried and ground fecal samples were scanned using a FOSS DS2500 scanning monochromator (FOSS, Eden Prairie, MN). Spectra were mathematically treated for detrend and scatter correction and modified partial least squares (MPLS) regression was performed. The coefficient of determination for cross validation (R 2cv) and standard error of cross validation (SECV) were used to evaluate the quality of calibrations. Prediction equations were developed for fecal composition [organic matter (OM), nitrogen (N), amylase-treated ash-corrected neutral detergent fiber (aNDFom), acid detergent fiber (ADF), acid detergent lignin (ADL), undigestible NDF after 240 h of in vitro incubation (uNDF), calcium (Ca), and phosphorus (P)], digestibility [DM, OM, NDF, N], and intake [DM, OM, aNDFom, N, uNDF]. The calibrations for fecal OM, N, aNDFom, ADF, ADL, uNDF, Ca, P resulted in R 2cv between 0.86 and 0.97 and SECV of 1.88, 0.07, 1.70, 1.10, 0.61, 2.00, 0.18, and 0.06, respectively. Equations predicting intake of DM, OM, N, aNDFom, ADL and uNDF resulted in R 2cv values between 0.59 and 0.91, SECV values of 1.12, 1.10, 0.02, 0.69, 0.06, 0.24 kg·d -1, respectively, and SECV values between 0.00 and 0.16 when expressed as % body weight (BW). Digestibility calibrations for DM, OM, aNDFom, and N resulted in R 2cv ranging from 0.65 to 0.74 and SECV values from 2.20 to 2.82. We confirm the potential of NIRS to predict fecal chemical composition, digestibility, and intake of cattle fed high forage diets. Future steps include validation of the intake calibration equations for grazing cattle using forage internal marker and modelling energetics of grazing growth performance.

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Application of Near Infrared Reflectance Spectroscopy to Predict Fecal Composition and Its Use for Digestibility Estimation

Abstract: Two

Cited by 9 publications

References 10 publications

Development of NIRS calibrations to estimate fecal composition and nutrient digestibility in beef cattle.

Development of NIRS calibrations to estimate fecal composition and nutrient digestibility in beef cattle.

Characterization of the variation in the daily excretion of faecal constituents and digestibility predictions in beef cattle fed feedlot diets using near-infrared spectroscopy

Predicting fecal composition, intake, and nutrient digestibility in beef cattle consuming high forage diets using near infrared spectroscopy

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