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Model to Predict Absorbed Amino Acid Supply at the Proximal Duodenum in Growing Beef Cattle |
Xianghua Yan, Zirong Xu, Wen-ju Zhang, Jiaqi Wang |
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Abstract |
Five crossbred beef cattle (Simmental횞yellow cattle, Shantung Province) fitted with permanent cannulae in the rumen and T-type cannulae at the proximal duodenum and terminal ileum, were fed five different diets containing corn, cotton meal or soybean meal and ammoniated straw to determine the dry matter, crude protein and amino acid flows in duodenal and ileum digesta, and to calculate the regression equations between theoretical and experimental concentration of AA in duodenal digesta. The results showed that there was a strong correlation between experimental (g/d, y) and theoretical CP flows (g/d, x) at the proximal duodenum, the R2-value regression equation of crude protein is very high (0.9636). The R2-value regression equation of the limiting amino acid (such as Met or Lys) is high (0.7573 or 0.9252 respectively). This results indicated that we can formulate better diets fed to beef cattle according to the theoretical amino acid concentration. A mathematical model has been successfully constructed for predicting the supply of absorbed amino acids at the proximal duodenum in growing beef cattle. |
Keywords:
Growing Beef Cattle; Absorbed Amino Acid; Supply; Predictive Model |
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