The study aimed to determine Pearson's and Spearman's Correlation Coefficients, significances and confidence intervals, as well as to define the best procedure to determine the linear association relationship for fibre characters in Huacaya alpacas. A total of 22 543 alpaca fleece samples from the Puno Region, Peru was used. Variables that show physical and textile characteristics were analysed in each sample. Forty-five Pearson Correlation coefficients were determined for pairs of characters and the significance was determined by approximating the Student's t-distribution; confidence intervals were determined by Fisher's Z approximation. For the same data, Spearman's Correlation coefficients were determined, significance was obtained by standardizing Spearman's rs values ​​to a Student's t value, the probability of significance was determined through the Student's t function fo...

The aim of this of the study was to determine relative economic weights for 10 traits related to fibre quality in Huacaya alpacas, through the Reciprocal of the phenotypic standard deviation of the trait and the Regression of the traits on the economic benefit. In total, 22 543 data per character were used, determined in samples of fleece from alpacas from the Puno Region. The economic weights obtained by the first procedure assume different values, which are inversely proportional to the value of the phenotypic standard deviation of the trait and quantify the number of times that the variance contains the relevant phenotypic standard deviation. Those obtained by the regression method also assume different values (positive and negative), which do not necessarily guide the trend, but quantify the change in the slope to a change in an average unit of the phenotype. The economic weight valu...