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吉林省杂交猪胴体等级评定方法

Grading Method for Carcass of Crossbred Jilin Swine

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【作者】 胡铁军孙永海张学强郭建王占博

【Author】 HU Tie-jun~1, SUN Yong-hai~2, ZHANG Xue-qiang~2, GUO Jian~3, WANG Zhan-bo~3 (1. Department of Quartermaster Engineering, The Quartermaster University of PLA, Changchun 130062, China; 2. College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China; 3.Department of Technology, Jilin Huazheng Farming Development Co. Ltd., Changchun 136100, China)

【机构】 解放军军需大学军需工程系吉林大学生物与农业工程学院吉林省华正农牧业开发股份有限公司技术部吉林省华正农牧业开发股份有限公司技术部 长春130062长春130022公主岭136100公主岭136100

【摘要】 以吉林省瘦肉型优质猪为研究样本,讨论了胴体等级评定方法和评定体系,设计了胴体等级预报模型。胴体等级预报采用了多元线性回归和人工神经网络2种方法。多元线性回归方程的准确率为80%,神经网络方法的准确率为90%。猪胴体级别模糊描述考虑了肉质方面的因素,使猪胴体等级的最终评定体系更科学、更合理。该方法适合二元、三元杂交等"杂交猪"胴体等级的评定。

【Abstract】 <Abstrcat>  In the paper, appraising methods of pork carcass grade were investigated. Appraisement models for pork carcass grade were devised. The appraisement was done by multiplex linear regression and artificial neural network. The accuracy of multiplex linear regression is 80% and that of the artificial neural network is 90%. The study showed that artificial neural network method was more effective and accurate. The factors of meat quality were calculated in fuzzy appraisement for pork grade, which made the appraisement method more scientific and reasonable. The grading method for carcass of crossbred Jilin swine was suitable to grade the dyadic or triadic crossbred swine.

【关键词】 胴体等级评定吉林省
【Key words】 swinecarcassgrade appraisementJilin province
【基金】 吉林省科技厅科技发展计划重大项目(20020212)
  • 【文献出处】 吉林农业大学学报 ,Journal of Jilin Agricultural University , 编辑部邮箱 ,2005年02期
  • 【分类号】TS251.7
  • 【下载频次】110
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