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,

G. Ibelli

Papers

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