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Kansas State University Libraries
2013; Kansas Agricultural Experiment Station contribution; no. 14-044-S; Report of progress (Kansas State University. Agricultural Experiment Station and Cooperative Extension Service); 1092; Growth performance; Finishing pig; Net energy; Regression
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Full-Text Articles in Life Sciences
Regression Analysis To Predict Growth Performance From Dietary Net Energy In Growing-Finishing Pigs (2013), Sureemas Nitikanchana, Steven S. Dritz, Michael D. Tokach, Joel M. Derouchey, Robert D. Goodband, Bradley J. White, Jim L. Nelssen
Regression Analysis To Predict Growth Performance From Dietary Net Energy In Growing-Finishing Pigs (2013), Sureemas Nitikanchana, Steven S. Dritz, Michael D. Tokach, Joel M. Derouchey, Robert D. Goodband, Bradley J. White, Jim L. Nelssen
Kansas Agricultural Experiment Station Research Reports
Energy concentration in livestock feed is often altered to optimize pig growth performance and feed cost; therefore, an accurate prediction of growth performance as affected by feeding different energy levels is crucial. Data from 41 trials from 17 journal articles, 10 technical memos, and a thesis were used to develop a regression equation to predict ADG or gain to feed (G:F) as influenced by BW and NE content. Linear and quadratic terms of NE, average BW, CP, standardized ileal digestible [SID] lysine, crude fiber, NDF, ADF, fat, and ash, including their interaction terms, were the variables in the regression analysis. …