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| The Use of Near-Infrared Reflectance Spectroscopy to Identify Pork from Diannan Small-Eared Pigs and DLY Commercial Pigs |
| HUANG Wei1, YANG Xiujuan1,2, ZHANG Xi1,2, CAO Zhiyong3, DENG Junming1,2, GAN Wenbin4, GAO Yinghong, TAO Linli1,2,* |
| 1.College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China;2. Yunnan Key Laboratory of Animal Nutrition and Feed, Kunming 650201, China; 3. College of Basis and Information, Yunnan Agricultural University, Kunming 650201, China; 4. Yunnan Veterinary Medicine and Forage Inspection Institution, Kunming 650201, China; 5. Kunming Yunling-Grand Breeder Poultry Feed Co. Ltd., Kunming 650215, China |
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Abstract Intact, ground, oven-dried and freeze-dried pork samples from Diannan small-eared pigs and DLY commercial pigs were analyzed for breed discrimination using spectral modeling by near infrared reflection spectroscopy (NIRS). In order to select the optimal spectral modeling method, the spectra of intact, ground, oven-dried and freeze-dried samples of longissimus dorsi from 53 Diannan small-eared pigs and 58 DLY commercial pigs in the range of 4 300–11 000 cm-1 were acquired, and the original spectra were preprocessed by first derivative, second derivative, standardization of variables, and multiple scattering correction, respectively. The models for breed discrimination were established using soft independent modeling of class analogy (SIMCA). Eight of the 111 samples were selected as calibration set, while the remaining 31 were included in validation set. Results showed that the recognition rate and rejection rate for DLY commercial pig in the validation set by the model of intact pork were 100% and 0, and those for Diannan small-eared pig in the validation set were 100% and 50%, respectively, which were unsatisfactory. Similarly, unsatisfactory recognition rate and rejection rate for both pig breeds in the validation set were obtained using the model of ground pork, which were 100% and 0, respectively. However, the models of oven-dried and freeze-dried pork exhibited good recognition performance, using which the recognition rate and rejection rate for the validation set were both 100%. To sum up, NIRS is useful to discriminate between Diannan small-eared pigs and DLY commercial pigs.
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