Hostname: page-component-7479d7b7d-767nl Total loading time: 0 Render date: 2024-07-13T23:21:00.453Z Has data issue: false hasContentIssue false
  • English
  • Français

Genetic parameters for medullated fiber and its relationship with other productive traits in alpacas

Published online by Cambridge University Press:  20 December 2018

A. Cruz ,
R. Morante ,
J. P. Gutiérrez Open the ORCID record for J. P. Gutiérrez [Opens in a new window] ,
R. Torres ,
A. Burgos  and
I. Cervantes
A. Cruz
Affiliation:
Fundo Pacomarca – INCA TOPS S.A., Avda. Miguel Forga 348, P.O. BOX 94, Arequipa, Peru
R. Morante
Affiliation:
Fundo Pacomarca – INCA TOPS S.A., Avda. Miguel Forga 348, P.O. BOX 94, Arequipa, Peru
J. P. Gutiérrez*
Affiliation:
Departamento de Producción Animal, Universidad Complutense de Madrid, Avda. Puerta de Hierro s-n, E-28040 Madrid, Spain
R. Torres
Affiliation:
Fundo Pacomarca – INCA TOPS S.A., Avda. Miguel Forga 348, P.O. BOX 94, Arequipa, Peru
A. Burgos
Affiliation:
Fundo Pacomarca – INCA TOPS S.A., Avda. Miguel Forga 348, P.O. BOX 94, Arequipa, Peru
I. Cervantes
Affiliation:
Departamento de Producción Animal, Universidad Complutense de Madrid, Avda. Puerta de Hierro s-n, E-28040 Madrid, Spain
*
†E-mail: gutgar@vet.ucm.es
Get access

Abstract

The alpaca fiber diameter (FD) varies from 18 to 36 μm, being the finer fiber categories highly appreciated. However, the alpaca fiber presents some limitations in the textile industry due to the high incidence of fiber medullation and diameter variability, both reduces the comfort feeling of the garments. Decreasing or even removing medullation could be a possible selection objective in alpaca breeding programs for increasing economic value of the alpaca fiber. Therefore, the present work aimed to estimate genetic parameters regarding medullation traits, as well as the genetic correlations with other economical important traits, to be able to select the appropriate criteria to reduce or remove medullation on alpaca fiber and help to reduce the prickle factor in the garments. The data was collected from 2000 to 2017 and belonged to the Pacomarca experimental farm. There were 3698 medullation records corresponding to 1869 Huacaya and 414 Suri genetic types. The fiber samples were taken from the mid side, and were analyzed in an OFDA 100® device. The traits analyzed were percentage of medullation (PM), medullated fiber diameter (MFD), FD, standard deviation of FD, greasy fleece weight as fiber traits; density, crimp in Huacaya and lock structure in Suri, head conformation, leg coverage as morphological traits; weaning weight and age at first calving as secondary and functional traits. Genetic parameters were estimated via a multitrait restricted maximum likelihood. The heritabilities for PM and MFD were 0.225 and 0.237 in Huacaya genetic type and 0.664 and 0.237 in Suri genetic type, respectively; heritabilities for other traits were moderate for productive and morphological traits, and low to moderate for secondary and functional traits. The genetic correlations PM–FD and MFD–FD were high and favorable in both genetic types, between 0.531 and 0.975; the genetic correlation PM–MFD was 0.121 in Huacaya and 0.427 in Suri. The rest of genetic correlations with other traits were in general moderate and favorable. The repeatabilities were 0.556 and 0.668 for PM, and 0.322 and 0.293 for MFD in Huacaya and Suri genetic types, respectively. As a conclusion, PM was identified to be a good selection criterion, probably combined in an index with FD to reduce prickling factor.

Keywords

comfortgenetic correlationheritabilityprickle factortextile
Type
Research Article
Information
animal , Volume 13 , Issue 7 , July 2019 , pp. 1358 - 1364
Copyright
© The Animal Consortium 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Allain, D and Roguet, J 2006. Genetic and non-genetic variability of OFDA-medullated fibre contents and other fleece traits in the French Angora goats. Small Ruminant Research 65, 217–222.Google Scholar
Antonini, M, Gonzales, M and Valbonesi, A 2004. Relationship between age and postnatal skin follicular development in three types of South American domestic camelids. Livestock Production Science 90, 241–246.Google Scholar
Aylan-Parker, J and McGregor, BA 2002. Optimising sampling techniques and estimating sampling variance of fleece quality attributes in alpacas. Small Ruminant Research 44, 53–64.Google Scholar
Cervantes, I, Pérez-Cabal, MA, Morante, R, Burgos, A, Salgado, C, Nieto, B, Goyache, F and Gutiérrez, JP 2010. Genetic parameters and relationships between fibre and type traits in two breeds of Peruvian alpacas. Small Ruminant Research 88, 6–11.Google Scholar
Cilek, S 2015. Determination of fleece qualities of Malya Sheep (11/16 Akkaraman × 5/16 Deutsches Merinofleischschaf) and effect of age and sex on these qualities. Pakistan Journal of Agricultural Sciences 52, 545–552.Google Scholar
Cruz, A, Cervantes, I, Burgos, A, Morante, R and Gutiérrez, JP 2015. Estimation of genetic parameters for reproductive traits in alpacas. Animal Reproduction Science 163, 48–55.Google Scholar
Cruz, A, Cervantes, I, Burgos, A, Morante, R and Gutiérrez, JP 2017. Genetic parameters estimation for preweaning traits and their relationship with reproductive, productive and morphological traits in alpaca. Animal 11, 746–754.Google Scholar
Frank, EN 2008. Camélidos sudamericanos. Producción de fibra, bases físicas y genéticas. Revista Argentina de Producción Animal 28, 119–122.Google Scholar
Frank, EN, Hick, MVH, Lamas, HE, Gauna, CD and Molina, G 2006. Effects of age-class, shearing interval, fleece and color types on fiber quality and production in Argentine Llamas. Small Ruminant Research 61, 141–152.Google Scholar
Frank, EN, Hick, MVH, Molina, G and Caruso, LM 2011. Genetic parameters for fleece weight and fibre attributes in Argentinean Llamas reared outside the Altiplano. Small Ruminant Research 99, 54–60.Google Scholar
Gutiérrez, JP, Cervantes, I, Pérez-Cabal, MA, Burgos, A and Morante, R 2014. Weighting and morphological traits in a genetic index for an alpaca breeding programme. Animal 8, 360–369.Google Scholar
Gutiérrez, JP, Goyache, F, Burgos, A and Cervantes, I 2009. Genetic analysis of six production traits in Peruvian alpacas. Livestock Science 123, 193–197.Google Scholar
Gutiérrez, JP, Varona, L, Pun, A, Morante, R, Burgos, A, Cervantes, I and Pérez-Cabal, MA 2011. Genetic parameters for growth of fiber diameter in alpacas. Journal of Animal Science 89, 2310–2315.Google Scholar
Hansford, KA 2003. Managing the risk of dark and/or medullated fibre contamination (Australian Wool Innovation Project EC573) (Federation of Australian Wool Organizations, Australia.Google Scholar
Lupton, CJ and Pfeiffer, FA 1998. Measurement of medullation in wool and mohair using an optical fiber diameter analyser. Journal of Animal Science 76, 1261–1266.Google Scholar
Martinez, Z, Iñiguez, LC and Rodríguez, T 1997. Influence of effects on quality traits and relationships between traits of the llama fleece. Small Ruminant Research 24, 203–212.Google Scholar
McGregor, BA 1997. The quality of fibre grown by Australian alpacas. In Seminar of Shaping the Future: Proceedings of the International Alpaca Industry 1997, July 1997, Melbourne, Australia, pp. 43–48.Google Scholar
McGregor, BA 2014. Variation in the softness and fibre curvature of cashmere, alpaca, mohair and other rare animal fibres. The Journal of the Textile Institute 105, 597–608.Google Scholar
McGregor, BA, Butler, KL and Ferguson, MB 2013. The relationship between the incidence of medullated fibres in mohair and live weight over the lifetime of Angora goats. Small Ruminant Research 113, 90–97.Google Scholar
Moore, KE, Maloney, SK and Blache, D 2015. High follicle density does not decreases weat gland density in Huacaya alpacas. Journal of Thermal Biology 47, 1–6.Google Scholar
Naylor, GRS 1992. The role of coarse fibres in fabric prickle using blended acrylic fibres of different diameters. Wool Technology and Sheep Breeding 40, 14–18.Google Scholar
Naylor, GRS and Hansford, KA 1999. Fibre end diameter properties in processed top relative to the staple for wool grown in a Mediterranean climate and shorn different seasons. Wool Technology and Sheep Breeding 47, 107–117.Google Scholar
Neumaier, A and Groeneveld, E 1998. Restricted maximum likelihood estimation of covariances in sparse linear models. Genetics Selection Evolution 30, 3–26.Google Scholar
Pérez-Cabal, MA, Cervantes, I, Morante, R, Burgos, A, Goyache, F and Gutiérrez, JP 2010. Analysis of the existence of major genes affecting alpaca fiber traits. Journal of Animal Science 88, 3783–3788.Google Scholar
Pinares, R, Gutiérrez, GA, Cruz, A, Morante, R, Cervantes, I, Burgos, A and Gutiérrez, JP 2018. Heritability of individual fiber medullation in Peruvian alpacas. Small Ruminant Research 165, 93–100.Google Scholar
Quispe, EC, Poma, A and Purroy, A 2013. Características productivas y textiles de la fibra de alpacas de raza Huacaya. Revista Complutense de Ciencias Veterinarias 7, 1–29.Google Scholar
Sánchez, AL, Urioste, JI, Peñagaricano, F, Neimaur, K, Sienra, I, Naya, H and Kremer, R 2016. Genetic parameters of objectionable fibers and of their association with fleece traits in Corriedale sheep. Journal of Animal Science 94, 13–20.Google Scholar
Scobie, DR, Grosvenor, AJ, Bray, AR, Tandon, SK, Meade, WJ and Cooper, AMB 2015. A review of wool fibre variation across the body of sheep and the effects on wool processing. Small Ruminant Research 133, 43–53.Google Scholar
Taddeo, HR, Duga, L, Almeida, D, Willems, P and Somlo, R 2000. Variation of mohair quality over the body in Angora goats. Small Ruminant Research 36, 285–291.Google Scholar
Wang, X, Wang, L and Liu, X 2003. The quality and processing performance of alpaca fibres (RIRDC Project No UD-2A). Australian Government, Rural Industries Research and Development Corporation, Australia.Google Scholar