Predictor weights of the Partial Least Squares regression (PLSr) model explaining the effects of presence of antibodies elicited by porcine circovirus type 2 (PCV2), Aujeszky's disease virus (ADV), swine influenza virus (SIV), Mycoplasma hyopneumoniae and co-infection by Metastrongylus<... (original) (raw)

2014

Abstract

<p>Predictor weights represent the contribution of each pathogen infection to the PLSr's × axis. Predictor weights explaining more than 10% of the total variance in each response variable are shown in bold type. The exposure to porcine reproductive and respiratory syndrome virus (PRRSV), <i>Haemophilus parasuis</i>, and <i>Actinobacillus pleuropneumoniae</i> were excluded from this analysis since their prevalence in studied wild boar population was lower than 5% (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0110123#pone-0110123-t002" target="_blank">table 2</a>).</p><p>Predictor weights of the Partial Least Squares regression (PLSr) model explaining the effects of presence of antibodies elicited by porcine circovirus type 2 (PCV2), Aujeszky's disease virus (ADV), swine influenza virus (SIV), <i>Mycoplasma hyopneumoniae</i> and co-infection by <i>Metastrongylus</i> lung nematodes on bTB severity.</p

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