首页> 外文会议>International Conference on Engineering and Applied Science >Cluster analysis of lombok island local buffalo (Bubalus bubalis) based on Principle Component Analysis (PCA)
【24h】

Cluster analysis of lombok island local buffalo (Bubalus bubalis) based on Principle Component Analysis (PCA)

机译:基于原理成分分析(PCA)的Lombok Island Local Buffalo(Bubalus Bubalis)的集群分析

获取原文

摘要

The Preservation of buffalo cattle in North Lombok and Central Lombok regencies can be done through inventory activities and identification of cattle performance through analysis of morphological characters in order to determine the kinship relationships of buffalo. This study examines the grouping of local buffalo in Central Lombok and North Lombok based on morphological characters. The sample of this study consisted of 16 male and female buffaloes taken from both regions. One way anova analysis results on eight morphological characters of buffalo which include (1) body length, (2) shoulder height, (3) hip height, (4) chest circumference, (5) chest width, (6) head length, (7) head height, and (8) head width shows no difference in mean values of each character in the two observation areas. The results of PCA analysis revealed a map of buffalo morphology distribution which was divided into two groups, i.e. group 1 representing North Lombok buffalo located in quadrant III, while group 2 represented morphological mixtures of North Lombok and Central Lombok buffalo located in quadrant I, II, and IV. The results of the cluster analysis show that some buffalos from North Lombok has similarities with Central Lombok buffalo based on the eight morphological characters.
机译:通过分析形态特征来通过库存活动和鉴定牛绩效来完成北龙木病和中央龙木床的水牛牛的保存,以确定水牛的亲属关系。本研究探讨了基于形态特征的龙目岛和北龙木蟾中局部水牛的分组。本研究的样本由来自两个地区的16名男性和雌性水牛组成。一种方式ANOVA分析结果对水牛的八种形态特征,包括(1)体长,(2)肩部高度,(3)臀部高度,(4)胸围,(5)胸宽,(6)头长度( 7)头高度,(8)头宽度显示两个观察区域中每个角色的平均值没有差异。 PCA分析结果揭示了水牛形态分布的地图,分为两组,即代表北龙木岛水牛的第1组位于象限III,而第2组代表北龙木病和中央龙族水牛的形态混合物位于象限I,II,II和iv。群集分析结果表明,北龙木酷的一些水牛基于八个形态特征,有与龙族岛水牛的相似之处。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号