Application of fecal near-infrared reflectance spectroscopy profiling for the prediction of diet nutritional characteristics and voluntary intake in beef cattle

J. R. Johnson, G. E. Carstens, S. D. Prince, K. H. Ominski, K. M. Wittenberg, M. Undi, T. D.A. Forbes, A. N. Hafla, D. R. Tolleson, J. A. Basarab

Research output: Research - peer-reviewArticle

Abstract

The objective of this study was to evaluate the use of fecal near-infrared reflectance spectroscopy (NIRS) profiling to predict diet nutritional characteristics and voluntary DMI in beef cattle. Fecal samples were collected for growing cattle across 11 experiments in which individual animal performance and DMI was measured. Dried and ground fecal composite samples collected from each animal were subjected to fecal NIRS analysis by a Foss NIRS 6500 scanning monochromator (Foss, Eden Prairie, MN) at the Grazingland Animal Nutrition Laboratory (Temple, TX). Fecal spectra were then used to develop equations to predict diet composition (trials 1 to 11; = 408), digestibility (trials 1 to 5; = 155), and DMI (trials 1 to 11; = 408). Coefficients of determination for calibration () and cross-validation () for prediction of diet nutritional characteristics were lower for NDF ( = 0.85; = 0.82) than for CP ( = 0.90; = 0.88). For the prediction of DMI, and ranged from 0.69 and 0.67 for the prediction of trial-average DMI to 0.76 and 0.73 for the prediction of fecal-collection-period DMI. While the and obtained for the prediction of DMI were lower than those obtained for the prediction of diet composition or digestibility, fecal NIRS prediction equations for DMI were successful in predicting the mean DMI of groups, as no differences were found for the prediction of fecal-collection-period DMI (Diff. = 1.10; = 0.72) or trial DMI (Diff. = -0.47; = 0.86).

LanguageEnglish (US)
Pages447-454
Number of pages8
JournalJournal of animal science
Volume95
Issue number1
DOIs
StatePublished - Jan 1 2017

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voluntary intake
near-infrared spectroscopy
beef cattle
nutritive value
prediction
diet
Near-Infrared Spectroscopy
Diet
digestibility
sampling
Laboratory Animals
Calibration
Grassland
8-methylpentadecanoic acid
grazing lands
animal nutrition
animal performance
prairies
calibration
cattle

ASJC Scopus subject areas

  • Food Science
  • Medicine(all)
  • Animal Science and Zoology
  • Genetics

Cite this

Johnson, J. R., Carstens, G. E., Prince, S. D., Ominski, K. H., Wittenberg, K. M., Undi, M., ... Basarab, J. A. (2017). Application of fecal near-infrared reflectance spectroscopy profiling for the prediction of diet nutritional characteristics and voluntary intake in beef cattle. Journal of animal science, 95(1), 447-454. DOI: 10.2527/jas.2016.0845

Application of fecal near-infrared reflectance spectroscopy profiling for the prediction of diet nutritional characteristics and voluntary intake in beef cattle. / Johnson, J. R.; Carstens, G. E.; Prince, S. D.; Ominski, K. H.; Wittenberg, K. M.; Undi, M.; Forbes, T. D.A.; Hafla, A. N.; Tolleson, D. R.; Basarab, J. A.

In: Journal of animal science, Vol. 95, No. 1, 01.01.2017, p. 447-454.

Research output: Research - peer-reviewArticle

Johnson, JR, Carstens, GE, Prince, SD, Ominski, KH, Wittenberg, KM, Undi, M, Forbes, TDA, Hafla, AN, Tolleson, DR & Basarab, JA 2017, 'Application of fecal near-infrared reflectance spectroscopy profiling for the prediction of diet nutritional characteristics and voluntary intake in beef cattle' Journal of animal science, vol 95, no. 1, pp. 447-454. DOI: 10.2527/jas.2016.0845
Johnson, J. R. ; Carstens, G. E. ; Prince, S. D. ; Ominski, K. H. ; Wittenberg, K. M. ; Undi, M. ; Forbes, T. D.A. ; Hafla, A. N. ; Tolleson, D. R. ; Basarab, J. A./ Application of fecal near-infrared reflectance spectroscopy profiling for the prediction of diet nutritional characteristics and voluntary intake in beef cattle. In: Journal of animal science. 2017 ; Vol. 95, No. 1. pp. 447-454
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