This trial was to study the feasibility of establishing prediction models for the net energy (NE) values using Fourier near infrared spectroscopy (NIRS) and chemical composition on the basis of 25 cottonseed meal NE values measured by comparative slaughter experiment, and to compare the predictive results of them. 1) NE was calculated as NE for maintenance (NEm) plus NE for deposition (NEp). The NEm was measured by regression method with 5 feeding levels including ad libitum feeding and restricted feeding by 20%, 40%, 60% and 80%, respectively. NEp was measured by the method of substitution. A total of 382 Kangdaer fasting yellow-feathered broilers at 7 days of age with average body weight of （62.20±0.64） g were randomly allotted into every level of cottonseed meal sample with 6 replicates each and 2 chickens in each replicate. The experiment lasted for 7 days. 2) NIRS calibration models (M1 and M2) of NE were established under the natural condition and a larger moisture background, respectively. 3) Predictive equations for apparent metabolizable energy (AME), crude protein (CP), ether extract (EE), crude fiber (CF), neutral detergent fiber (NDF), acid detergent fiber (ADF), and ash with NE were derived from the methods of one-dimensional and multivariate linear regressions. The results showed as follows: 1) the R2cal and root mean square error of calibration (RMSEE) of 2 models (M1/M2) were 0.999/0.985 and 0.033/0.084 MJ/kg DM, the R2cv and root mean square error of cross validation (RMSECV) were 0.966/0.967 and 0.120/0.117 MJ/kg DM, the R2val and root mean square error of prediction (RMSEP) were 0.843/0.957 and 0.260/0.136 MJ/kg DM, respectively, and the results of paired-samples t test of NIRS predictive values and determined values were not significantly different (P>0.05). 2) The R2 and the RSD of the optimum regression equations from chemical composition combined with AME were 0.985 and 0.093 MJ/kg DM, respectively. These results indicate as follows: 1) the two methods above can both establish NE predictive models of cottonseed meal with reliable results; 2) the predictive accuracy of M2 is similar to the optimum equation from chemical composition combined with AME. ［Chinese Journal of Animal Nutrition, 2011, 23（9）：1499 -1504］
CHEN Yujuan，JIA Gang，WU Xiuqun，WANG Kangning
. Prediction Models for Net Energy Value of Cottonseed Meal for Yellow-feathered Broilers Aged from 1 to 21 Days Using Fourier Near Infrared Spectroscopy and Chemical Composition[J]. Chinese Journal of Animal Nutrition, 2011
, 23(09)
: 1499
-1504
.
DOI: 10.3969/j.issn.1006-267x.2011.09.007
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