Estimates of genetic and phenotypic parameters for production, haematological and gastrointestinal nematode-associated traits in Australian Angora goats
S. Bolormaa A B D , M. Olayemi A , J. H. J. van der Werf A , N. Baillie A , F. Le Jambre C , A. Ruvinsky A and S. W. Walkden-Brown AA School of Rural and Environmental Science, University of New England, Armidale, NSW 2351, Australia.
B Department of Primary Industries, VABC Building, 1 Park Drive, Bundoora, Vic. 3083, Australia.
C FD McMaster Laboratory, Division of Livestock Industries, CSIRO, Armidale, NSW 2350, Australia.
D Corresponding author. Email: bolormaa.sunduimijid@dpi.vic.gov.au
Animal Production Science 50(1) 25-36 https://doi.org/10.1071/AN09035
Submitted: 2 March 2009 Accepted: 12 August 2009 Published: 17 December 2009
Abstract
Genetic parameters for liveweight (LWT), greasy fleece weight (GFW), mean fibre diameter (MFD), standard deviation of MFD (MFD-s.d.), mean fibre curvature (CURVE) percentage of medullated (%MED) and kemp (%KEMP) fibres, faecal worm egg count (WEC), packed cell volume (PCV), mean corpuscular volume (MCV) mean corpuscular haemoglobin content (MCHC), circulating anti-nematode IgG (IgG) and counts of circulating eosinophils (EOS), lymphocytes (LYM), neutrophils (NEU), basophils (BASO) and monocytes (MONO) up to 18 months of age were estimated in Australian Angora goats (608 animals, 14 sires 3 years of birth). Measurements were made during a period of natural parasite challenge up to 5 months of age, or following artificial challenge with 10 000 infective larvae of Trichostrongylus colubriformis at 5.25 months of age. Year of birth had a significant impact on production and parasite-associated traits at all ages studied. Sex had a marked effect on production and erythrocyte traits. Birth type had no effect on any traits in animals older than 6 months. Maternal effects were not significant except for LWT at 3, 5 and 6 months and for IgG at 3 months. Most production traits were highly (LWT, GFW, MFD, %MED) or moderately (CURVE, MFD-s.d.) heritable (range 0.17–0.59) with only %KEMP having a low heritability (0.02–0.14). The heritability estimates (±s.e.) for CURVE are novel for goats and ranged from 0.18 ± 0.09 at first shearing to 0.44 ± 0.14 at third shearing. Heritability estimates were low for WEC (0.02–0.16) and for specific IgG during natural infection (0.14–0.15) but higher for IgG following artificial challenge with T. colubriformis (0.42 ± 0.13). Of the haematological variables NEU and all red cell traits were highly heritable (0.45–0.71), LYM and MONO were moderately to highly heritable (0.31–0.55), and EOS was weakly to moderately heritable (0.06–0.28).
Strong phenotypic correlations existed between production traits. MFD was positively correlated with GFW and negatively correlated with CURVE, indicating that finer fibres have a higher crimp or wave count. WEC had consistent negative phenotypic correlations with PCV, LYM and EOS, and positive correlations with NEU. Correlations with IgG were positive up to 5 months and negative thereafter. Phenotypic correlations between WEC and LWT as well as with GFW and MFD were negative. Heritability estimates for production traits were generally consistent with other studies. Haematological and fibre curvature findings are completely novel for Angora goats. Estimates of heritability for WEC fell in mid range of published findings for other goat breeds, and these results suggest that there is some scope for breeding for worm resistance in Angoras but the response is likely to be slow.
Additional keywords: eosinophils, faecal worm egg counts, fibre curvature, greasy fleece weight, heritability and correlations, mean fibre diameter, specific antibody IgG.
Acknowledgements
We acknowledge funding from the Rural Industries Research and Development Corporation in Australia (Project UNE 69A) and from the Australian Centre for International Agricultural Research (Project 97133). Also, we would like to thank Margaret and Jim Harris for access to their herd and their unstinting support of this project. We are grateful for the excellent technical support of Dominic Niemeyer (CSIRO).
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