4.4 Article

Determination and prediction of the digestible and metabolizable energy contents of corn germ meal in growing pigs

Journal

ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES
Volume 32, Issue 3, Pages 405-412

Publisher

ASIAN-AUSTRALASIAN ASSOC ANIMAL PRODUCTION SOC
DOI: 10.5713/ajas.17.0891

Keywords

Corn Germ Meal; Digestible Energy; Metabolizable Energy; Pig; Prediction Equation

Funding

  1. 111 project [B 16044]
  2. key science research program of Henan Department of Education [16A230014]

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Objective: This experiment was conducted to determine the chemical composition, digestible energy (DE) and metabolizable energy (ME) contents of corn germ meals (CGM) and to develop equations to predict the corresponding energy contents based on the chemical characteristics of individual CGM. Methods: Sixty-six barrows (initial body weight = 51.3 +/- 4.6 kg) were allotted to 11 diets including a basal diet and 10 CGM test diets in a completely randomized design. In the test diets, CGM was included in replacement of 30% of the energy-providing ingredients in the basal diet, resulting in a final inclusion rate of 29.1%. Each diet was fed to 6 barrows housed in individual metabolism crates for a 7-d acclimation period followed by a 5-d total but separate collection of feces and urine. Results: Considerable variation was observed in acid-hydrolyzed ether extract, ether extract, ash, calcium (Ca) and total phosphorus contents among the CGM samples. On dry matter (DM) basis, the DE and ME contents of the CGM ranged from 10.22 to 15.83 MJ/kg and from 9.94 to 15.43 MJ/kg, respectively. The acid detergent fiber (ADF) contents were negatively correlated with the DE and ME contents of CGM samples. The best-fit prediction equations for the DE and ME values (MJ/kg DM) of the 10 CGM were: DE = 26.85-0.28 insoluble dietary fiber (%)-17.79 Ca (%); ME = 21.05-0.43 ADF (%)-11.40 Ca (%). Conclusion: The chemical compositions of CGM vary depending on sources, particularly in ether extract and Ca. The DE and ME values of CGM can be predicted based on their chemical composition in growing pigs.

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