Hostname: page-component-76fb5796d-wq484 Total loading time: 0 Render date: 2024-04-26T02:34:41.067Z Has data issue: false hasContentIssue false

Survival of Red Maasai, Dorper and crossbred lambs in the sub-humid tropics

Published online by Cambridge University Press:  18 August 2016

R. Nguti
Affiliation:
University of Nairobi, PO Box 30197, Nairobi, Kenya
P. Janssen
Affiliation:
Limburgs Universitair Centrum, B-3590 Diepenbeek, Belgium
G.J. Rowlands
Affiliation:
International Livestock Research Institute (ILRI), PO Box 30709, Nairobi, Kenya
J.O. Audho
Affiliation:
International Livestock Research Institute (ILRI), PO Box 30709, Nairobi, Kenya
R.L. Baker*
Affiliation:
International Livestock Research Institute (ILRI), PO Box 30709, Nairobi, Kenya
*
Email: L.Baker@cgiar.org
Get access

Abstract

The survival rates of Dorper, Red Maasai and crossbred lambs born over a period of 6 years at Diani Estate, Coast Province, Kenya were compared using the Cox mixed proportional hazards model with a random (frailty) term for sire. Of the 1785 lambs born, proportionately 0·44 died before they were 1 year old. Almost half of these deaths occurred before weaning; a third were associated with mis-mothering and a fifth with gastro-intestinal nematode parasite (endoparasite) infections. Half of the deaths post weaning were associated with endoparasite infections, predominantly Haemonchus contortus. The Red Maasai lambs had a lower risk of death than the Dorper lambs with a relative hazard of 0·27 pre-weaning and 0·25 post weaning. Other crosses and back crosses had relative hazards in between these values and 1; there was no evidence of heterosis. Survival rates were different among years and appeared to be associated to some degree with variations in rainfall. There were highly significant effects of both birth weight and weaning weight on survival. Body weight, together with packed red cell volume and faecal egg count, were also introduced into the proportional hazard model as time-varying covariates. All three variables had major influences on survival. The risk of death over the following month in animals individually treated with an anthelmintic drug pre weaning was reduced by 0·61 compared with those not treated. The sire frailty variance estimate was similar to its standard error pre-weaning but larger post weaning. When adjusted for lamb body weight the sire variance post weaning increased to three times its standard error.

Type
Research Article
Copyright
Copyright © British Society of Animal Science 2003

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

Baker, R.L. 1998. A review of genetic resistance to gastrointestinal nematode parasites in sheep and goats in the tropics and evidence for resistance in some sheep and goat breeds in sub-humid coastal Kenya. Animal Genetics Resources Information Bulletin 24: 1330.CrossRefGoogle Scholar
Baker, R.L., Mugambi, J.M., Audho, J.O., Carles, A.B. and Thorpe, W. 2002. Comparison of Red Maasai and Dorper sheep for resistance to gastro-intestinal nematode parasites, productivity and efficiency in a humid and a semi-arid environment in Kenya. Proceedings of the seventh world congress on genetics applied to livestock production, Montpellier, France, vol 31, pp. 639642.Google Scholar
Baker, R.L., Mwamachi, D.M., Audho, J.O., Aduda, E.O. and Thorpe, W. 1999. Genetic resistance to gastro-intestinal nematode parasites in Red Maasai, Dorper and Red Maasai ✕ Dorper ewes in the sub-humid tropics. Animal Science 69: 335344.CrossRefGoogle Scholar
Baker, R.L., Nagda, S., Rodriguez-Zas, S.L, Southey, B.R., Audho, J.O., Aduda, E.O. and Thorpe, W. 2003. Resistance and resilience to gastro-intestinal nematode parasites and relationships with productivity of Red Maasai, Dorper and Red Maasai ✕ Dorper crossbred lambs in the sub-humid tropics. Animal Science 76: 119136.CrossRefGoogle Scholar
Cloete, S.W.P., Snyman, M.A. and Herselman, M.J. 2000. Productive performance of Dorper sheep. Small Ruminant Research 36: 119135.CrossRefGoogle ScholarPubMed
Collett, D. 1994. Modelling survival data in medical research. Chapman and Hall, London.CrossRefGoogle Scholar
Ducrocq, V. 2000. Genetic improvement of laying hens viability using survival analysis. Genetics Selection, Evolution 32: 2340.CrossRefGoogle ScholarPubMed
Ducrocq, V., Quaas, R.L., Pollak, E.J. and Casella, G. 1988. Length of productive life of dairy cows. II. Variance component estimation and sire evaluation. Journal of Dairy Science 71: 30713079.CrossRefGoogle Scholar
Gatenby, R.M. 1986. Sheep production in the tropics and sub-tropics. Tropical Agricultural Series, Longman Group Ltd, Essex.Google Scholar
Gray, G.D., Woolaston, R.R. and Eaton, B.T. 1995. Breeding for resistance to infectious diseases of small ruminants. Australian Centre for International Agricultural Research monograph no. 34. ACIAR, Canberra, Australia.Google Scholar
Henryon, M., Berg, P., Jensen, J. and Andersen, S. 2001. Genetic variation for resistance to clinical and subclinical diseases exists in growing pigs. Animal Science 73: 375387.CrossRefGoogle Scholar
Klein, J.P. and Moeschberger, M.L. 1997. Survival analysis: techniques for censored and truncated data. Springer, New York.CrossRefGoogle Scholar
Lawless, J.F. 1982. Statistical models and methods for lifetime data. Wiley, New York.Google Scholar
McGilchrist, C.A. 1993. REML estimation for survival models with frailty. Biometrics 49: 221225.CrossRefGoogle ScholarPubMed
Mathsoft, . 1999. S-Plus 2000 user’s guide: statistics, 1999 edition. Mathsoft, Seattle, Washington.Google Scholar
Milne, C. 2000. The history of the Dorper sheep. Small Ruminant Research 36: 99102.CrossRefGoogle ScholarPubMed
Mukasa-Mugerwa, E., Lahlou-Kassi, A., Anindo, D., Rege, J.E.O., Tembely, S., Markos, Tibbo and Baker, R.L. 2000. Between and within breed variation in lamb survival and the risk factors associated with major causes of mortality in indigenous Horro and Menz sheep in Ethiopia. Small Ruminant Research 37: 112.CrossRefGoogle Scholar
Muller, H.G. and Wang, J.L. 1994. Hazard rate estimation under random censoring with varying kernels and bandwidths. Biometrics 50: 6176.CrossRefGoogle ScholarPubMed
Over, H.J., Jansen, J., Von Olm, P.W. 1992. Distribution and impact of helminth diseases of livestock in developing countries. Food and Agricultural Organization of the United Nations animal production and health paper no. 96. FAO, Rome.Google Scholar
Rege, J.E.O., Tembely, S., Mukasa-Mugerwa, E., Sovani, S., Anindo, D., Lahlou-Kassi, A., Nagda, S. and Baker, R.L. 2002. The effect of breed and season on production and response to infections with gastro-intestinal nematode parasites in sheep in the highlands of Ethiopia. Livestock Production Science In press.Google Scholar
Southey, B.R., Rodriguez-Zas, S.L. and Leymaster, K.A. 2001. Survival analysis of lamb mortality in a terminal sire composite population. Journal of Animal Science 79: 22982306.CrossRefGoogle Scholar
Therneau, T.M. and Grambsch, P.M. 2000. Modelling survival data. Extending the Cox model. Springer, New York.CrossRefGoogle Scholar
Traore, A., Peacock, C.P., Mack, S. and Agyemang, K. 1985. Mortality of lambs in African traditional livestock production systems. Veterinary Research Communications 9: 295301.Google Scholar
Wallin, L., Strandberg, E., Philipsson, J. and Dalin, G. 2000. Estimates of longevity and causes of culling and death in Swedish warm blood and cold blood horses. Livestock Production Science 63: 275289.CrossRefGoogle Scholar
Wilson, R.T. 1991. Small ruminant production and the small ruminant genetic resource in tropical Africa. Food and Agriculture Organisation animal production and health paper no. 88. FAO, Rome.Google Scholar
Wilson,, R.T., Traore, A. and Mukasa-Mugerwa, E. 1993. Mortality and morbidity of African small ruminants under various management systems. Études et Synthèses de 1’IEMVT 42: 208236.Google Scholar
Yazdi, M.H., Rydhmer, L., Cederberg, E.R., Lundeheim, N. and Johansson, K. 2000. Genetic study of longevity in Swedish Landrace sows. Livestock Production Science 63: 255264.CrossRefGoogle Scholar
Yazdi, M.H., Visscher, P.M., Ducrocq, V. and Thompson, R. 2002. Heritability, reliability of genetic evaluations and response to selection in proportional hazards models. Journal of Dairy Science 85: 15631577.CrossRefGoogle Scholar