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Genetic parameters for Nematodirus spp. egg counts in Romney lambs in New Zealand

Published online by Cambridge University Press:  18 August 2016

C. A. Morris*
Affiliation:
AgResearch, Ruakura Research Centre, PB 3123, Hamilton, New Zealand
A. Bisset
Affiliation:
AgResearch, Wallaceville Animal Research Centre, PO Box 40063, Upper Hutt, New Zealand
A. Vlassoff
Affiliation:
AgResearch, Wallaceville Animal Research Centre, PO Box 40063, Upper Hutt, New Zealand
C. J. West
Affiliation:
AgResearch, Wallaceville Animal Research Centre, PO Box 40063, Upper Hutt, New Zealand
M. Wheeler
Affiliation:
AgResearch, Ruakura Research Centre, PB 3123, Hamilton, New Zealand
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Abstract

Genetic analyses were carried out on Nematodirus spp. egg counts (NEM) of lambs from a set of Romney breeding lines. The lines had been under selection for 22 seasons (1979 to 2000) for divergence in resistance to infection by strongyle nematodes other than NEM, using faecal egg count (FEC) as the selection criterion. Heritabilities and genetic correlations for NEM were estimated using residual maximum likelihood procedures. Correlated responses in NEM were also determined. Heritability estimates for loge(NEM + 100) in lambs at 4 months of age (NEM1) or 6 months of age (NEM2) were 0·15 (s.e. 0·03) and 0·26 (s.e. 0·04) respectively (c.f. 0·28 (s.e. 0·02) and 0·35 (s.e. 0·02) for loge(FEC + 100)). The genetic correlation between loge(NEM1 + 100) and loge(NEM2 + 100) was 0·85 (s.e. 0·08), while the genetic correlations between measurements of loge(NEM + 100) and loge(FEC + 100) on both sampling occasions had a weighted average of 0·43, with estimates ranging from 0·30 (s.e. 0·08) to 0·52 (s.e. 0·07). Divergence in loge(NEM + 100) between the high and low FEC lines, estimated over both sampling times combined, was 1·07 phenotypic standard deviations, compared with 3·6 phenotypic standard deviations for loge(FEC + 100). Expressed in terms of back-transformed eggs per g, the high and low FEC lines differed by factors of 7·6 and 32·2 for NEM and FEC, respectively. The results support earlier parasitological data indicating that the genetic mechanisms in sheep which are responsible for resistance to other strongyle nematodes probably also influence resistance to Nematodirus infection.

Type
Breeding genetics
Copyright
Copyright © British Society of Animal Science 2004

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References

Bishop, S. C., Jackson, F., Coop, R. L. and Stear, M. J. 2004. Genetic parameters for resistance to nematode infections in Texel lambs and their utility in breeding programmes. Animal Science 78: 185194.Google Scholar
Bisset, S. A., Vlassoff, A., Douch, P. G. C., Jonas, W. E., West, C. J. and Green, R. S. 1996. Nematode burdens and immunological responses following natural challenge in Romney lambs selectively bred for low or high faecal worm egg count. Veterinary Parasitology 61: 249263.Google Scholar
Bisset, S. A., Vlassoff, A., Morris, C. A., Southey, B. R., Baker, R. L. and Parker, A. G. H. 1992. Heritability of and genetic correlations among faecal egg counts and productivity traits in Romney sheep. New Zealand Journal of Agricultural Research 35: 5158.Google Scholar
Brunsdon, R. V. 1967. The significance of Nematodirus in New Zealand. New Zealand Veterinary Journal 16: 105108.CrossRefGoogle Scholar
Gilmour, A. R. 1997. ASREML for testing fixed effects and estimating multiple trait variance components. Proceedings of the Association for the Advancement of Animal Breeding and Genetics 12: 386390.Google Scholar
McEwan, J. C., Mason, P., Baker, R. L., Clarke, J. N., Hickey, S. M. and Turner, K. 1992. Proceedings of the New Zealand Society of Animal Production 52: 5356.Google Scholar
Morris, C. A., Vlassoff, A., Bisset, S. A., Baker, R. L., Watson, T. G., West, C. J. and Wheeler, M. 2000. Continued selection of Romney sheep for resistance or susceptibility to nematode infection: estimates of direct and correlated responses. Animal Science 70: 1727.Google Scholar
Morris, C. A., Vlassoff, A., Bisset, S. A., Baker, R. L., West, C. J. and Hurford, A. P. 1997. Responses of Romney sheep to selection for resistance or susceptibility to nematode infection. Animal Science 64: 319329.Google Scholar
Shaw, R. J., Morris, C. A., Green, R. S., Wheeler, M., Bisset, S. A., Vlassoff, A. and Douch, P. G. C. 1999. Genetic and phenotypic relationships among Trichostrongylus colubriformis-specific immunoglobulin E, anti-Trichostrongylus colubriformis antibody, immunoglobulin G1, faecal egg count and body weight traits in grazing Romney lambs. International Journal for Parasitology 58: 2532.Google Scholar
Statistical Analysis Systems Institute. 1995. JMP version 3. SAS Institute, Cary, NC.Google Scholar
Watson, T. G., Baker, R. L. and Harvey, T. G. 1986. Genetic variation in resistance or tolerance to internal nematode parasites in strains of sheep at Rotomahana. Proceedings of the New Zealand Society of Animal Production 46: 2326.Google Scholar
Woolaston, R. R. and Piper, L. R. 1996. Selection of Merino sheep for resistance to Haemonchus contortus: genetic variation. Animal Science 62: 451460.Google Scholar
Woolaston, R. R. and Windon, R. G. 2001. Selection of sheep for response to Trichostrongylus colubriformis larvae: genetic parameters. Animal Science 73: 4148.Google Scholar