Acknowledgement
The authors thank Phyllis Dieter, Donna Wyatt, Tessa Grohnke, and Logan Pope (Lab of Dairy Nutrition and Management, The Ohio State University, Wooster, OH, USA) for assisting with sampling and lab analysis, and the staff of the Krauss Dairy Krauss Dairy Research Center (The Ohio State University, Wooster, OH, USA) for animal management.
References
- Huhtanen P, Kaustell K, Jaakkola S. The use of internal markers to predict total digestibility and duodenal flow of nutrients in cattle given six different diets. Anim Feed Sci Technol 1994;48:211-27. https://doi.org/10.1016/0377-8401(94)90173-2
- Owens FN, Hanson CF. External and internal markers for appraising site and extent of digestion in ruminants. J Dairy Sci 1992;75:2605-17. https://doi.org/10.3168/jds.S0022-0302(92)78023-0
- Thonney ML, Palhof BA, DeCarlo MR, et al. Sources of variation of dry matter digestibility measured by the acid insoluble ash marker. J Dairy Sci 1985;68:661-8. https://doi.org/10.3168/jds.S0022-0302(85)80872-9
- Lee C, Hristov AN. Short communication: evaluation of acid insoluble ash and indigestible neutral detergent fiber as total tract digestibility markers in dairy cows fed corn silage-based diets. J Dairy Sci 2013;96:5295-9. https://doi.org/10.3168/jds.2012-6442
- Morris DL, Rebelo LR, Dieter PA, Lee C. Validating intrinsic markers and optimizing spot sampling frequency to estimate fecal outputs. J Dairy Sci 2018;101:7980-9. https://doi.org/10.3168/jds.2018-14717
- van Soest PJ, Robertson JB, Lewis BA. Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. J Dairy Sci 1991;74:3583-97. https://doi.org/10.3168/jds.S0022-0302(91)78551-2
- Kanani J, Philipp D, Coffey KP, et al. Comparison of acid detergent lignin, alkaline-peroxide lignin, and acid-detergent insoluble ash as internal markers for predicting fecal output and digestibility by cattle offered bermudagrass hays of varying nutrient composition. J Anim Sci Biotechnol 2014;5:1-8. https://doi.org/10.1186/2049-1891-5-7
- Kanani J, Philipp D, Coffey KP, et al. Diurnal variation in fecal concentrations of acid-detergent insoluble ash and alkaline-peroxide lignin from cattle fed bermudagrass hays of varying nutrient content. J Anim Sci Biotechnol 2015;6:1-6. https://doi.org/10.1186/s40104-015-0024-1
- Beck MR, Proctor PJA, Smith JK, et al. Assessing different sampling regimens for estimating dietary characteristics using internal markers. Appl Anim Sci 2023;39:411-22. https://doi.org/10.15232/aas.2023-02452
- St-Pierre NR. Invited review: integrating quantitative findings from multiple studies using mixed model methodology. J Dairy Sci 2001;84:741-55. https://doi.org/10.3168/jds.S0022-0302(01)74530-4
- Bibby J, Toutenburg H. Improved estimation and prediction. Z Angew Math Mech 1978;58:45-9. https://doi.org/10.1515/ 9783112549407
- Lawrence I, Lin K. A concordance correlation coefficient to evaluate reproducibility. Biometrics 1989;45:255-68. https://doi.org/10.2307/2532051
- Olson KC, Cochran RC, Titgemeyer EC, Mathis CP, Jones TJ, Heldt JS. Prediction of the energy content of tallgrass prairie hay. J Anim Sci 2008;86:1372-81. https://doi.org/10.2527/jas.2007-0564
- Stafford SD, Cochran RC, Vanzant ES, Fritz JO. Evaluation of the potential of supplements to substitute for low-quality, tallgrass-prairie forage. J Anim Sci 1996;74:639-47. https://doi.org/10.2527/1996.743639x
- Undersander DJ, Cole NA, Naylor CH. Digestibility by lambs of water-stressed alfalfa as determined by total collection or internal markers. J Dairy Sci 1987;70:1719-23. https://doi.org/10.3168/jds.S0022-0302(87)80201-1
- Goff JP. Invited review: mineral absorption mechanisms, mineral interactions that affect acid–base and antioxidant status, and diet considerations to improve mineral status. J Dairy Sci 2018;101:2763-813. https://doi.org/10.3168/jds.2017-13112