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Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE

Genetic analysis of milk production and composition in crossbred ewes from different maternal genotypes

R. A. Afolayan A , N. M. Fogarty A E , J. E. Morgan B , G. M. Gaunt C , L. J. Cummins D , A. R. Gilmour A and S. Nielsen A
+ Author Affiliations
- Author Affiliations

A The Cooperative Research Centre for Sheep Industry Innovation, NSW Department of Primary Industries, Orange Agricultural Institute, Orange, NSW 2800, Australia.

B NSW Department of Primary Industries, Centre for Sheep Meat Development, Cowra, NSW 2794, Australia.

C Department of Primary Industries, Primary Industries Research, Rutherglen, Vic. 3685, Australia.

D Department of Primary Industries, Primary Industries Research, Hamilton, Vic. 3300, Australia.

E Corresponding author. Email: neal.fogarty@dpi.nsw.gov.au

Animal Production Science 49(1) 24-31 https://doi.org/10.1071/EA08157
Submitted: 5 May 2008  Accepted: 4 August 2008   Published: 5 January 2009

Abstract

Milk production and milk composition were measured in 1056 crossbred ewes managed under pasture grazing in a lamb production system. Most ewes were milked on three occasions at ~3, 4 and 12 weeks of lactation. The ewes were the progeny of mainly Merino dams and 91 sires from several maternal crossing breeds including Border Leicester, East Friesian, Finnsheep and Coopworth. The ewes were born over 3 years and run at three sites where they were joined naturally to meat rams. Most of the ewes were first parity (autumn-joined at 7 months of age and spring-joined at 14–17 months of age), with the remainder second or third parity. The cohorts of ewes and sites were linked genetically by three common maternal sires. The 4-h oxytocin-induced milking procedure was used to estimate daily milk production and milk samples were analysed for composition (fat%, protein% and lactose%). Daily milk yield and milk composition traits were analysed using restricted maximum likelihood mixed models procedures. The sire breed of crossbred ewes was significant for milk yield (P < 0.01), fat% (P < 0.01) and lactose% (P < 0.05). There was a significant (P < 0.01) interaction of sire breed × days of lactation, mainly due to the relatively higher milk yield of the East Friesian and White Suffolk cross ewes compared with the other crosses, at the end of the lactation. The East Friesian cross ewes had lower milk fat% than the other cross ewes. Ewes suckling multiple lambs had 29% higher peak milk yield than those bearing and suckling single lambs (P < 0.001). There was an increase in peak milk yield of the ewes from first to second parity, and third parity ewes had a greater decline to the end of lactation causing a significant interaction (P < 0.001). The overall decline in milk yield from peak to late lactation was –21.2 ± 0.7 g/day. Separate analysis showed a significant increase in milk yield with ewe pre-joining weight (regression 6.1 ± 1.8 g/day.kg). The estimate of heritability for daily milk yield was 0.24 ± 0.04 at 90 days of lactation and 0.10 ± 0.02 at 21 days of lactation. The estimates of heritability for the milk composition traits were generally moderate. Estimates of genetic correlations between measurements early and late in the lactation for milk yield and most composition traits were high. The within ewe by stage variance component estimates of repeatability were moderate to high for milk yield, fat% and protein%, with lactose% being low.


Acknowledgements

The assistance of many staff members from the NSW Department of Primary Industries at Cowra and Department of Primary Industries Vic. at Hamilton and Rutherglen over several years of the study is greatly appreciated. In particular we thank those who assisted with the milkings including: Kelly Lees, David Stanley, Phil Goodacre, Tony Markham, Darryl Hughes, Rob Urquhart, Ashley Radburn, Ken Masters, Taffy Phillips, Greg Seymour, Paul Curran, Peter Heazlewood, Kerry Groves, Murray Arnold and Brian Hurley. Dr Peter Holst and Dr Geoff Hinch are thanked for advice and support. Meat and Livestock Australia provided financial support for the progeny testing project and the Cooperative Research Centre for Sheep Industry Innovation provided financial support for the analysis.


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