Mensuration of Effective Energy Value of Corn in Diets of Laying Hens and Its Net Energy Prediction Model Construction
In this experiment,the effective energy value of Hy-Line brown laying hens to different sources of corns was determined by indirect calorimetry combined with substitution method,and a net energy(NE)pre-diction equation of corn based on physical and chemical indicators was established.A total of 72 Hy-line brown laying hens aged 54 weeks with body weight of(1 898.32±114.12)g and laying rate of(90.74±1.31)％were randomly divided into 6 groups(1 corn-soybean meal basal diet group and 5 experimental diet groups with 30％corn replacement ratio)with 6 replicates per group and 2 hens per replicate.The test hens were caged in the house,the pre-test period was 10 days,and the trial period was 12 days.The trial period was di-vided into 3 periods,each period was 4 days(1 day for adaptation,and 3 days for breath calorimetry).In each period of test,four hens were selected from each group,put them into 12 metabolic chambers(2 hens in each chamber)of the respiratory calorimetry device after weighing,each 2 metabolic chambers correspond to 1 kind of diet.Indirect calorimetry and digestion and metabolism tests were performed at the same time.The re-sults were follows:1)the apparent metabolizable energy(AME)of the five corns were 15.09,14.18,14.67,14.33 and 14.28 MJ/kg DM,respectively;the NE were 10.90,10.33,10.82,10.47 and 10.44 MJ/kg DM,respectively;the NE/AME were 72.17％,72.84％,73.71％,72.99％and 73.11％,re-spectively.2)The NE prediction equation of corn is NE=-0.001+0.57xAME+0.606xether extract(EE)+0.088×crude fiber(CF)(R2=0.987,P＜0.01).Cross-validation showed that the NE prediction model of corn for laying hens obtained in this experiment is more accurate,and the NE of corn can be predicted by using this model according to the AME and the contents of EE and CF.[Chinese Journal of Animal Nutrition,2024,36(4):2344-2355]
laying hensnet energyindirect calorimetryprediction model
万方数据
维普
