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Effect of dietary net energy concentrations on growth performance and net energy intake of growing gilts

Overview of attention for article published in Animal Bioscience, May 2017
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Title
Effect of dietary net energy concentrations on growth performance and net energy intake of growing gilts
Published in
Animal Bioscience, May 2017
DOI 10.5713/ajas.17.0206
Pubmed ID
Authors

Gang Il Lee, Jong Hyuk Kim, Gi Ppeum Han, Do Yoon Koo, Hyeon Seok Choi, Dong Yong Kil

Abstract

This experiment investigated the effect of dietary net energy (NE) concentrations on growth performance and NE intake of growing gilts. Five diets were formulated to contain 9.6, 10.1, 10.6, 11.1, and 11.6 MJ NE/kg, respectively. A metabolism trial with 10 growing pigs (average body weight [BW] = 15.9 ± 0.24 kg) was conducted to determine NE concentrations of 5 diets based on French and Dutch NE systems in a 5 × 5 replicated Latin square design. A growth trial also was performed with five dietary treatments and 12 replicates per treatment using 60 growing gilts (average BW = 15.9 ± 0.55 kg) for 28 days. The regression analysis was performed to predict daily NE intake from the BW of growing gilts. Increasing NE concentrations of diets did not influence average daily gain (ADG) and average daily feed intake (ADFI) of growing gilts. There was a quadratic relationship (p = 0.01) between dietary NE concentrations and feed efficiency (G:F), although the difference in G:F among treatment means was relatively small. Regression analysis revealed that daily NE intake was linearly associated with the BW of growing gilts. The prediction equations for NE intake with the BW of growing gilts were: NE intake (MJ/d) = 1.442 + (0.562 × BW, kg), R2 = 0.796 when French NE system was used, whereas NE intake (MJ/d) = 1.533 + (0.614 × BW, kg), R2 = 0.810 when Dutch NE system was used. Increasing NE concentrations of diets from 9.6 to 11.6 MJ NE/kg have little impacts on growth performance of growing gilts. Daily NE intake can be predicted from the BW between 15 and 40 kg in growing gilts.

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The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Student > Doctoral Student 1 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 60%
Computer Science 1 20%
Unknown 1 20%