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Kansas State University Libraries

1999

1999; Kansas Agricultural Experiment Station contribution; no. 00-103-S; Report of progress (Kansas State University. Agricultural Experiment Station and Cooperative Extension Service); 841; Swine; Real-time ultrasound; Lipid accretion; Protein accretion; Lysine:calorie ratio; Fat; Lysine; Finishing pigs

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Full-Text Articles in Life Sciences

Predicting Lysine Requirements Using Protein And Lipid Accretion Curves For Growing-Finishing Barrows (1999), M De La Llata, Michael D. Tokach, Robert D. Goodband, Jim L. Nelssen, Steven S. Dritz Jan 1999

Predicting Lysine Requirements Using Protein And Lipid Accretion Curves For Growing-Finishing Barrows (1999), M De La Llata, Michael D. Tokach, Robert D. Goodband, Jim L. Nelssen, Steven S. Dritz

Kansas Agricultural Experiment Station Research Reports

A total of240 growing-finishing barrows (75 to 260 lb) were used to model accretion rates and the lysine:calorie ratio requirement based on lipid and protein content data obtained with a real-time ultrasound. Barrows were fed eight different diets consisting of four increasing lysine:calorie ratios and two levels of fat (0 and 6%). The modeled accretion rates effectively predicted the differences between treatments in agreement with the actual data. The modeled lysine:calorie ratio requirement accurately predicted the lysine:calorie ratios that maximized growth, evaluated by either the predicted or the actual data. Lipid and protein deposition rates were used to effectively model …


Predicting Lysine Requirements Using Protein And Lipid Accretion Curves For Growing-Finishing Gilts (1999), M De La Llata, Michael D. Tokach, Robert D. Goodband, Jim L. Nelssen, Steven S. Dritz Jan 1999

Predicting Lysine Requirements Using Protein And Lipid Accretion Curves For Growing-Finishing Gilts (1999), M De La Llata, Michael D. Tokach, Robert D. Goodband, Jim L. Nelssen, Steven S. Dritz

Kansas Agricultural Experiment Station Research Reports

A total of240 growing-finishing gilts (60 to 260 lb) was used to model accretion rates and the lysine:calorie ratio requirement based on lipid and protein growth. Real-time ultrasound measurements were used to estimate lipid and protein contents. These estimates then were translated into feed intake and lysine requirements. Gilts were fed one of eight different diet regimens, consisting of four increasing lysine:calorie ratios and two levels of fat (0 and 6%). Lipid and protein deposition rates could effectively model feed intake when pigs were fed lysine:calorie ratios close to their requirement. The modeled accretion rates effectively predicted the differences between …