Determination of the average diameter and percentage of medullation of representative fibres of alpaca fleeces

Peña E.Q.; Gutiérrez J.A.; Bojorquez J.G.; Mueller J.; Sacchero D.; Saucedo F.M.; Quispe Bonilla M.D. · Revista de Investigaciones Veterinarias del Peru (2024) · DOI: 10.15381/rivep.v35i6.27805

Resumen

The evaluation of the mean fibre diameter (MFD) and the incidence of representative medullation of alpaca fleeces in 10 g samples of fibres from the mid-rib area is usually carried out to identify fine animals in genetic improvement programmes. Subsamples are usually taken from each sample to determine the MFD with some type of measuring instruments; however, due to the great variability of the diameter between staples, between fibres and along the same fibre, there is no consensus on the number of subsamples to use to achieve a representative result for the sample. In the present study, results from a range of subsamples were evaluated against the result of the total subsamples for MFD measurements and for measurements of the following additional variables of interest in alpaca fleeces: total percentage of medullated fibres (PMedT), percentage of fibres with fragmented medulation (PMedFrag), with discontinuous medulation (PMedDisc), with continuous medulation (PMedCont), strongly medullated (PFuertMed), mean diameter of medullated fibres (MDFMed), mean diameter of fibres with fragmented medulation (MDFFrag), mean diameter of fibres with discontinuous medulation (MDFDisc), mean diameter of fibres with continuous medulation (MDFCont) and mean diameter of strongly medullated fibres (MDFFuertMed). Samples of 10 g were taken from the mid-rib area of 62 alpacas. From a group of 30 samples, 17 subsamples were taken, allowing 510 evaluations; and from the second group of 32 samples, 9 subsamples were extracted, allowing 288 evaluations. The subsamples were analysed with the Fiber EC and Fiber Med instruments and the data obtained were statistically analysed using Spearman and Pearson correlations, paired mean tests and variance components estimated with a linear model that includes sample and subsample nested in sample. It is concluded that to achieve a correlation greater than 0.990, at least three to five subsamples are required in the evaluation of MFD, two or three subsamples in the evaluation of PMedT, PMedFrag, PMedDisc and PMedCont with their respective MFD and at least five subsamples in the evaluation of PFuertMed and its MFD. ©Los autores.

Instituciones: Universidad Nacional Agraria La Molina; Universidad Nacional de Huancavelica