Principal component 2, which explains 0.12 of total variance, indicates a different arrangement of the response variables (Fig. 4). The following variables were most strongly correlated: respiratory frequency (0.50); left flank (0.34), right flank (0.26), THI (0.25), marker 1 caudal left foreleg (0.12), marker 2 caudal left foreleg (0.09), and forehead (0.07). The correlation results demonstrate complexity among the traits studied. According to Scharf et al. (2008), there are factors that affect the association between the animal's surface temperature and environmental variables, triggering different degrees of vasomotor activity, and thus determine the efficiency of maintaining homeostasis (Silva, 2008). The response variables were therefore collected during a period of the day when these associative factors exerted little influence. Additionally, a large number of measurements were obtained to improve the reliability of the results. The pearson's correlations (Table 3) between skin surface temperatures obtained by IRT were evaluated and were observed moderate to high (0.26–0.91). High correlations were observed between THI and right flank, left flank, caudal left foreleg (markers 1 and 2) and forehead temperatures (0.85, 0.81, 0.74, 0.64 and 0.81, respectively). The correlation between right and left flank temperatures was high (0.91). Left flank temperature was also highly correlated with forehead temperature (0.83). The correlations between forehead temperature
Principal component 2, which explains 0.12 of total variance, indicates a different arrangement of the response variables (Fig. 4). The following variables were most strongly correlated: respiratory frequency (0.50); left flank (0.34), right flank (0.26), THI (0.25), marker 1 caudal left foreleg (0.12), marker 2 caudal left foreleg (0.09), and forehead (0.07). The correlation results demonstrate complexity among the traits studied. According to Scharf et al. (2008), there are factors that affect the association between the animal's surface temperature and environmental variables, triggering different degrees of vasomotor activity, and thus determine the efficiency of maintaining homeostasis (Silva, 2008). The response variables were therefore collected during a period of the day when these associative factors exerted little influence. Additionally, a large number of measurements were obtained to improve the reliability of the results. The pearson's correlations (Table 3) between skin surface temperatures obtained by IRT were evaluated and were observed moderate to high (0.26–0.91). High correlations were observed between THI and right flank, left flank, caudal left foreleg (markers 1 and 2) and forehead temperatures (0.85, 0.81, 0.74, 0.64 and 0.81, respectively). The correlation between right and left flank temperatures was high (0.91). Left flank temperature was also highly correlated with forehead temperature (0.83). The correlations between forehead temperature
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Principal component 2, which explains 0.12 of total variance, indicates a di ff erent arrangement of the response variables (Fig. 4). The following variables were most strongly correlated: respiratory frequency (0.50); left fl ank (0.34), right fl ank (0.26), THI (0.25), marker 1 caudal left foreleg (0.12), marker 2 caudal left foreleg (0.09), and forehead (0.07). The correlation results demonstrate complexity among the traits studied. According to Scharf et al. (2008), there are factors that a ff ect the association between the animal's surface temperature and environmental variables, triggering di ff erent degrees of vasomotor activity, and thus determine the e ffi ciency of maintaining homeostasis (Silva, 2008). The response variables were therefore collected during a period of the day when these associative factors exerted little in fl uence. Additionally, a large number of measurements were obtained to improve the reliability of the results. The pearson's correlations (Table 3) between skin surface temperatures obtained by IRT were evaluated and were observed moderate to high (0.26-0.91). High correlations were observed between THI and right fl ank, left fl ank, caudal left foreleg (markers 1 and 2) and forehead temperatures (0.85, 0.81, 0.74, 0.64 and 0.81, respectively). The correlation between right and left fl ank temperatures was high (0.91). Left fl ank temperature was also highly correlated with forehead temperature (0.83). The correlations between forehead temperature
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Principal, component 2 which explains 0.12 of total variance indicates a, di ff erent arrangement of the response variables. (Fig. 4). The following variables were most strongly correlated: respiratory frequency (0.50); left fl ank (0.34), right fl ank. (0.26), THI (0.25), marker 1 caudal left foreleg (0.12), marker 2 caudal left foreleg (0.09), and forehead (0.07). The correlation. Results demonstrate complexity among the traits studied. According to Scharf et al. (2008), there are factors that a ff ect. The association between the animal 's surface temperature and, environmental variables triggering di ff erent degrees of vasomotor. Activity and thus, determine the e ffi ciency of maintaining, homeostasis (Silva 2008). The response variables were therefore. Collected during a period of the day when these associative factors exerted little in fl uence. Additionally a large, number. Of measurements were obtained to improve the reliability of the results. The Pearson 's correlations (Table 3) between skin. Surface temperatures obtained by IRT were evaluated and were observed moderate to high (0.26 - 0.91). High correlations were. Observed between THI and right fl ank left fl, ank caudal left, foreleg (markers 1 and 2) and forehead temperatures (0.85 0.81 0.74,,,, 0.64 and 0.81 respectively).? The correlation between right and left fl ank temperatures was high (0.91). Left fl ank temperature was also highly correlated. With forehead temperature (0.83). The correlations between forehead temperature.
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