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Prediction and Evaluation of Urine and Urinary Nitrogen and Mineral Excretion from Dairy Cattle

T. D. Nennich^*,1, J. H. Harrison^*,2, L. M. VanWieringen^*, N. R. St-Pierre, R. L. Kincaid, M. A. Wattiaux, D. L. Davidson^* and E. Block^||

^* Puyallup Research and Extension Center, Washington State University, Puyallup 98371
Department of Animal Sciences, The Ohio State University, Columbus 43210
Department of Animal Sciences, Washington State University, Pullman 99163
Department of Dairy Science, University of Wisconsin, Madison 53706
^|| Church & Dwight Co. Inc., Princeton, NJ 08543

² Corresponding author: jhharrison{at}wsu.edu

Urine excretion is a substantial factor in the amount of manure that needs to be managed, and urinary N can contribute to ammonia volatilization. Development and validation of prediction equations focusing on dietary factors to decrease urine and urinary nutrient excretion will provide information for managing urine and feces separately or for other future technologies. The objective of this study was to develop equations for prediction of urine excretion and excretion of urinary N, Na, and K and to evaluate both new and previously published prediction equations for estimation of urine and urinary nutrient excretion from lactating dairy cows. Data sets from metabolism studies conducted at Washington State University were compiled and evaluated for excretion of minerals. Urine excretion averaged 24.1 kg/d and urinary nitrogen excretion ranged from 63 to 499 g/d in the calibration data set. Regression equations were developed to predict urine excretion, urinary N excretion, and urinary Na and K excretion. Predictors used in the regression equations included milk yield, body weight, dietary crude protein percentage, milk urea nitrogen, and nutrient intakes. Previously published prediction equations were evaluated using data sets from Washington State University and the University of Wisconsin. Mean and linear biases were evaluated by determining the regression of residuals on predicted values. Evaluation and validation of prediction equations are important to develop equations that will more accurately estimate urine and urinary nitrogen excretion from lactating dairy cows.

Key Words: urine • urinary nitrogen • sodium • potassium

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