Canonical trend surface analysis of morphometric variation in Africanized honey bees from Brazil

被引:7
|
作者
Diniz, JAF [1 ]
机构
[1] Univ Fed Goias, Inst Ciencias Biol, Dept Biol Geral, BR-74001970 Goiania, Go, Brazil
关键词
Africanized honey bees; Apis mellifera; geographical variation; biogeography; multivariate analysis; morphometrics; spatial analysis; canonical; trend surface analysis; principal component analysis; migration; clines; evolution; Brazil;
D O I
10.1080/00218839.1995.11100889
中图分类号
Q96 [昆虫学];
学科分类号
摘要
Canonical trend surface analysis (CTSA) is a powerful multivariate statistical method that finds linear combinations of morphological data which have maximum correlation with geographic space. In this paper, CTSA was applied to morphometric variation among 42 Africanized honey bee populations from Brazil. Results were compared with principal component analysis (PCA) and matrix comparison between D-2 Mahalanobis and geographic distances, using the Mantel test. CTSA can be more effective than other multivariate techniques in describing multivariate spatial patterns and, consequently, in suggesting evolutionary explanations for their origin.
引用
收藏
页码:65 / 72
页数:8
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