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A MULTIVARIATE ANALYSIS OF Boophilus microplus (ACARI: IXODIDAE): NON-PARASITIC PHASE

机译:微小菌(ACARI:IXODIDAE)的多重分析:非寄生虫阶段

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Multivariate statistical methods are relatively new tools for data analysis. They have a lot of applications in biological researches: nevertheless, for several reasons, they have not been widely employed in this subject yet. Recently, present authors published a paper applying multivariate statistics on non-parasitic phase of Anocentor nitens. In the present article Boophilus microplus has received a very similar statistic treatment. In this paper, the influence of different incubation conditions was studied in groups of 12-15 individuals in each of the 24 combinations of six temperatures 24, 27, 30, 32, 34 and 36oC and four relative humidity values, 100, 80, 75.5 and 70% over the cycle variables of B. microplus. According to the results, the best conditions are 30ºC and 100% relative humidity and the worse ones were higher temperatures together with lower relative humidity. It was remarked that this ixodid is better adapted to warm humid conditions in tropic than A. nitens is. Some other issues have been discussed in this new approach, like the possibility of its applications in prognosing geographical distribution of ixodids.
机译:多元统计方法是用于数据分析的相对较新的工具。它们在生物学研究中有很多应用:尽管如此,由于多种原因,它们尚未在该学科中得到广泛应用。近来,目前的作者发表了一篇文章,将多变量统计应用于无寄生念珠菌的非寄生相。在本文中,Boophilus microplus接受了非常相似的统计处理。在本文中,研究了不同孵化条件的影响,以12至15个人为一组,分别在六个温度24、27、30、32、34和36oC和四个相对湿度值100、80、75.5的24种组合中的每一种和超过B. microplus循环变量的70%。根据结果​​,最佳条件是30ºC和100%相对湿度,而最差的条件是较高的温度和较低的相对湿度。有人指出,该ixodid比A. nitens更适合热带地区的温暖潮湿条件。在这种新方法中,还讨论了其他一些问题,例如其在预测ixodids地理分布中的可能性。

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