(GFR-O1C) ANALISE paR COMPONENTES PRINCIPAlS, DE MEDIDAS FISIOLOGICAS DE BOVINOS SUBMETIDOS A TESTE DE TOLERANCIA AO CALOR

The objective was to use principal component analysis (PCA) in the evaluation of physiological data related to heat tolerance in 45 beef cattle, being 15 of each genetic group: Nelore (NE) and crossbred Angus x Nelore (TA) and Senepol x Nelore (SN). The experiment was carried out during a heat tolerance test in the summer season. The PCA technique showed to be advantageous in order to reduce the dimension of the original data set, reducing it from a set of 16 variables to only four autovectors, that explained about 60% of the latent original variation of the data. variation,