The objective of this study was to investigate some aspects of horse resistance to natural infestations of Anocentor nitens and Amblyomma cajennense over a. Anocentor nitens is a widespread ectoparasite of horses in Brazil. A study of the seasonal dynamics of the parasitic phase of this tick was made by regular. Anocentor nitens is a widespread ectoparasite of horses in Brazil. A study of the seasonal dynamics of the parasitic phase of this tick was made.
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Exotic behavior of Anocentor nitens teleogine 
In biology, they are used in several niens where data structure, classification and grouping are necessary. Nevertheless, it seems they have not been employed in the study of non-parasitic phase of ticks or any other arthropod. In this paper, the influence of different incubation conditions was studied in groups of individuals in each of the 24 combinations of six temperatures 24, 26, 28, 30, 32, and 34 o C and four relative humidities80, In biology, they are used in several scenarios where data structure, classification and grouping are necessary 1, 2, 3, 4, 5, 6,7.
In spite of some articles concerning the influence of environmental anocentr over the non-parasitic phase of A. In this paper, the influence of different incubation conditions over the cycle variables of Anocentor nitens were studied looking for establishing the most suitable environmental conditions for increasing or decreasing ticks performance and to apply these knowledges to zoogeography.
The variables recorded were: Only 5 layings by group were employed to estimate LF because this procedure is cumbersome. This is a well-known technique mainly used to represent group means as points in a two dimensional space.
It is traditional to draw confidence circles around these points.
Exotic behavior of Anocentor nitens teleogine
These circles are only approximations. Some authors advocated those ellipses, usually having higher inclusion rates 14, 15, It is evident that FW and LW are closely related, indeed there is a linear regression between them.
These correlations exist because the bigger the egg mass is, the higher protection from desiccation is accomplished and thus a higher fertility is obtained. Also, there is not significant correlation between these variables and CEI.
They are uncorrelated mitens the rest of the variables. For these reasons, authors decided to draw out the variables FW anocenttor LW for further analysis. So authors decided to include the third axis in the following procedures. The correlation circle of first-second axis Fig.
The influence of temperature over the variable CEI is small; this last variable is better represented in the intens axis and related with relative humidity. Canonical Variate Analysis – By temperature: Figure 2 shows the relations between the six temperature groups and the variables studied.
These two variates are the best if it is desired to obtain a high laying efficiency and fertility. Figure 3 expresses the relationship between groups of ticks incubated at four different relative humidities and the variables studied. The new canonical variables show in a more objective way which are the best and the worst incubation anocentr for the species.
These results give the suggestion that the best incubation conditions for raising A. Higher temperatures and lower relative humidities are harmful for it Fig.
Results of Despins 11 working on non-parasitic phase of A. The same nitdns to the results of the present article is shown in Bastos et al. The fact that relatively high temperatures and relative humidity as used in the present paper, are suitable to A.
In a nltens work applying univariate methods 12authors of this paper have suspected these same conclusions, according to the obtained data about laying fertility Table 5 and CEI Table 6.
Multivariate statistic methods give this information in an explicit way anpcentor for those with little or no statistical knowledge. This tick is well adapted to tropical conditions.
Finally, Borges et al. Cuadras from the University of Barcelona, Spain, for his valuable advices and critical revision of mathematical language and to Dr. Krzanowski from the University of Exeter, U.
Edward Deutsch for the language revision.
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Simulation study of confidence regions for canonical variate analysis. Recibido ; Aceptado