运用主成分分析和聚类分析确定AA肉鸡生产力的评价指标  

Establishment of a productivity evaluation model of AA broiler based on principal component analysis

作　　者：马发顺[1,2] 邢安琪 赵梦雪 葛玉杰 王莫含 宋玉伟 梁秀丽[1,2] MA Fashun;XING Anqi;ZHAO Mengxue;GE Yujie;WANG Mohan;SONG Yuwei;LIANG Xiuli(School of Biotechnology and Food Science,Anyang Institute of Technology,Anyang 455000,China;Henan Joint International Research Laboratory of Veterinary Biologies Research and Application,Anyang Institute of Technology,Anyang 455000,China)

机构地区：[1]安阳工学院生物与食品工程学院,河南安阳455000 [2]河南省兽用生物制品研发与应用国际联合实验室,河南安阳455000

出　　处：《畜牧与兽医》2021年第2期13-17,共5页Animal Husbandry & Veterinary Medicine

基　　金：国家重点研发计划项目(2017YFD0501000);第四届全国大学生生命科学竞赛项目(35417)。

摘　　要：为了对规模化肉鸡饲养场AA肉鸡的生产力进行综合评价,试验以滑县某肉鸡场124 789只AA肉鸡为材料,按鸡舍和周龄对其生产性能进行调查测定,测定项目有存栏数(x_(1))、成活率(x_(2))、周耗料量(x_(3))、累计只耗料量(x_(4))、只日耗料量(x_(5))、体重(x_(6))、周增重(x_(7))、周效率(x_(8))、累计效率(x_(9))等9项指标,采用主成分分析和聚类分析法确定了生产力综合评价中的重要指标,建立了AA肉鸡生产力综合评价模型。结果显示:9个指标间均存在着极显著的相关性(P<0.01);提取的3个主成分Y1、Y2、Y3方差贡献率分别为92.25%、4.71%、1.84%,累计贡献率为98.79%;9项指标可聚为4类,其中存栏数(x_(1))、周耗料量(x_(3))、体重(x_(6))、周效率(x_(8))是影响生产力水平的重要指标。此研究结果可作为AA肉鸡场生产管理的科学依据。In order to evaluate the productivity of AA Broilers in a large-scale broiler farm, 124 789 AA broilers were used as the subjects of study. The production performance was investigated and measured based on the housing and age of the chickens. The items of the present evaluation were: the number of stocks(x_(1)), survival rate(x_(2)), weekly consumption(x_(3)), cumulative consumption(x_(4)), daily consumption(x_(5)), body weight(x_(6)), weekly weight gain(x_(7)), weekly efficiency(x_(8)), and cumulative efficiency(x_(9)). Principal component analysis and cluster analysis were used, the important indexes of productivity comprehensive evaluation were determined, and the model of AA broiler productivity comprehensive evaluation was established. The results showed that there were significant correlations among the nine indexes(P<0.01). The variance contribution rates of Y1, Y2 and Y3 were 92.25%, 4.71% and 1.84%, respectively, and the cumulative contribution rate was 98.79%. The 9 indexes could be grouped into 4 categories. The number of stocks(x_(1)), weekly consumption(x_(3)), body weight(x_(6)) and weekly efficiency(x_(8)) were the important indexes affecting the productivity level. The results of this study might be used as a scientific basis for the production management of AA broiler farms.

关 键 词：AA肉鸡 生产指标 生产力评价 相关分析 主成分分析法 聚类分析 

分 类 号：S831.4[农业科学—畜牧学]