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Determination And Prediction Of Corn Metabolizable Energy Value For High Quality Broiler

Posted on:2015-08-26Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhaoFull Text:PDF
GTID:2283330482976136Subject:Animal Nutrition and Feed Science
Abstract/Summary:PDF Full Text Request
The study was conducted to compare the metabolizable energy (ME) of 3030 kinds of corns from different areas in China for Cyan-shank partridge broiler and Daheng broiler (Daheng 699 synthetic line broiler). And also the ME predictive models of corn for the two kinds of broilers were setted up by using the near infrared spectroscopy technology. A completely randomized design was used and each sample of the 30 corns was regard as a treatment, with 8 replicates per treatment and 1 broiler per replicate. Cyan-shank partridge broilers were 30-wk-old of 4.030± 0.392kg. Daheng broilers were 18-wk-old of similar weight (3.858±0.286kg). Sibbald’s empty-force-feeding method was used to investigate the metabolizable energy, including feed withdrawal for 48 h before feeding test samples and then 2% of body weight of corn for force feeding, and 48 h period of excreta collection; the group for endogenous collection were continued to fast and collect the excreta for 48 h. Meanwhile the spectra were obtained for each sample by using NIRS, and the corn ME prediction NIRS model was established on the basis of ME of 30 corns. Then, the calibration and validation were performed. The results showed as follows:1) The values of DM, CP, GE, NDF, ADF, CF of 30 kinds of corns were 86.76%± 0.56%(85.55%~87.79%),7.99%±0.43%(7.35%~9.05%),16.239±0.123MJ/kg (16.000~16.481MJ/kg),11.27%±1.89%(8.68%~16.09%),2.80%±0.39%(2.06%~ 3.75%),1.98%±0.23%(1.65%~2.40%), repectively.2) The values of AME, AMEn, TME, TMEn of 30 kinds of corns in Cyan-shank partridge broiler were 14.627±0.655MJ/kg (11.727~16.225MJ/kg),14.672± 0,641MJ/kg (11.793~16.248MJ/kg),16.248±0.619MJ/kg (13.333~17.727MJ/kg), 16.293±0.605MJ/kg (13.398~17.750MJ/kg), respectively.3) The values of AME, AMEn, TME, TMEn of 30 kinds of corns in Daheng broiler were 14.624±0.469MJ/kg (12.880~15.991MJ/kg)s 14.646±0.462MJ/kg (12.938~15.989MJ/kg),16.062±0.488MJ/kg (14.243~17.359MJ/kg),16.083± 0.481 MJ/kg (14.301~17.357MJ/kg), respectively.4) For AME and AMEn, there were five corns with higher values (P<0.05) in Cyan-shank partridge broiler than in Daheng broiler, two corns with lower values were (P<0.05) in Cyan-shank partridge broiler than in Daheng broiler, while the values of the remaining 23 kinds of corns were not significant difference between them. For the TME and TMEn, ten corns values were higher (JP<0.05) for Cyan-shank partridge broiler than for Daheng broiler, the values of the remaining 20 kinds of corns were not significant difference.5) For the prediction modles of AME, AMEn, TME, TMEn established with near infrared reflectance spectroscopy for Cyan-shank partridge broiler, the coefficients of determination of calibration (R2cai), the standard deviation of calibration (RMSEE) and relative standard deviation (RSD) of AME, AMEn, TME, TMEn were 0.99,0.035,0.24; 0.99,0.029,0.20; 0.99,0.031,0.19; 0.99,0.030,0.18, respectively.While the coeffecients of determination of internal cross validation (R2cv), the standard deviation of internal cross validation (RMSECV) and relative standard deviation (RSD) were 0.92,0.117,0.80; 0.93,0.106,0.73; 0.90,0.113,0.70; 0.91,0.108,0.66, respectively.6) For the prediction modles of AME, AMEn, TME, TMEn established with near infrared reflectance spectroscopy for Daheng broiler, the coefficients of determination of calibration (R2cal), the standard deviation of calibration (RMSEE) and relative standard deviation (RSD) of AME, AMEn, TME, TMEn were 0.99,0.023,0.16; 0.99, 0.011,0.07; 0.99,0.014,0.08; 0.99,0.013,0.08, respectively. While the coeffecients of determination of internal cross validation (R2cv), the standard deviation of internal cross validation (RMSECV) and relative standard deviation (RSD) were 0.93,0.057,0.39; 0.95,0.048,0.33; 0.94,0.056,0.35; 0.95,0.055,0.34, respectively.These results indicate that:1) The AME, AMEn, TME and TMEn of corns for Cyan-shank partridge and Daheng broiler, it is better to evlvuate the ME value by using respective broilers.2) The prediction model of AME, AMEn, TME and TMEn of corns by using NIRS could be built for both Cyan-shank partridge and Daheng broiler with high accuracy.
Keywords/Search Tags:Cyan-shank partridge broiler, Daheng broiler, Corn, ME, NIRS
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