PSVI-6 - Predicting Fecal Composition Using near Infrared Spectroscopy (NIRS): Expanding the Calibration to Include Grazing Beef Samples

Monday, June 27, 2022

5:15 PM – 6:15 PM CT

Location: Exhibit Hall A

Presenting Author(s)

Jenilee F. Peters, BSc

Quality Manager
Trouw Nutrition / University of Saskatchewan
High River, Alberta, Canada

Author(s)

MS

Mary Lou Swift

Trouw Nutrition
Ponoka, AB, Canada
Gregory B. Penner, Ph.D., M.Sc., B.Sc.

Professor
Department of Animal and Poultry Science, College of Agriculture and Bioresources, University of Saskatchewan, Saskatoon, SK, Canada S7N 5A8
Saskatoon, SK, Canada
BL

Bart Lardner

Professor
University of Saskatchewan
Saskatoon, Saskatchewan, Canada
Timothy A. McAllister, PhD, MSc, BSc

Principal Research Scientist
Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada
Lethbridge, AB, Canada
Gabriel O. Ribeiro, n/a

Assistant Professor
Department of Animal and Poultry Science, College of Agriculture and Bioresources, University of Saskatchewan, Saskatoon, SK, Canada S7N 5A8
Saskatoon, SK, Canada

Abstract: A near-infrared spectroscopy (NIRS) calibration was previously developed to predict fecal composition using samples from beef heifers fed high forage diets ( > 95% forage dry matter basis) during total collection digestibility studies. The objective of the current study was to expand the fecal composition calibration with samples from grazing beef cattle. Fecal samples were collected from beef steers grazing two annual and two perennial forage mixtures over 2 growing seasons. Individual samples (n = 12/paddock) were composited by paddock resulting in 30 samples from year 1, and 24 from year two. Fecal samples were oven dried at 55°C for 48 hours and ground through a 1.0 mm screen prior to scanning on a FOSS DS2500 scanning monochromator (FOSS, Eden Prairie, MN). The grazing fecal spectra (n = 54) was added to the existing library and then mathematically treated for scatter correction. Modified partial least squares (MPLS) regression was performed to develop equations to predict fecal composition [organic matter (OM), nitrogen (N), neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), undigestible NDF (uNDF), calcium (Ca), and phosphorus (P)]. The calibrations for fecal OM, N, NDF, ADF, ADL, uNDF, Ca, P resulted in R²_CV between 0.86 and 0.96 and SECV of 1.73, 0.07, 1.65, 1.20, 0.63, 1.91, 0.21, and 0.07, respectively. This study confirms the potential of NIRS to predict fecal chemical composition of beef cattle fed high forage or grazing forage diets. Future steps include expansion and further validation of the calibration equations to include digestibility and intake predictions by estimating the internal markers lignin and uNDF.