Using partial records to identify productive older ewes to retain in the breeding flock to increase the flock net reproduction rate
G. J. Lee C , M. A. Sladek A B , S. Hatcher A B D and J. S. Richards A BA CRC for Sheep Industry Innovation, Homestead Building, UNE Armidale, NSW 2351, Australia.
B NSW DPI, Orange Agricultural Institute, Locked Bag 6006, Orange, NSW 2800, Australia.
C Formerly NSW DPI, Orange Agricultural Institute, Locked Bag 6006, Orange, NSW 2800, Australia.
D Corresponding author. Email: sue.hatcher@dpi.nsw.gov.au
Animal Production Science 54(10) 1631-1634 https://doi.org/10.1071/AN14435
Submitted: 24 March 2014 Accepted: 17 June 2014 Published: 19 August 2014
Abstract
The reproductive performance of 7286 ewes from three Merino genetic resource flocks maintained in the central-western region of New South Wales was used to compare the use of fertility and fecundity information and net reproduction information whether recorded early (at 2 and 3 years of age) or later in life (at 4 and 5 years of age) with lifetime performance (at 2–6 years of age) as alternative selection criteria to identify productive older ewes to retain in the breeding flock. While the lifetime net reproduction rate is the best indicator of a ewe’s reproductive performance in later life, producers basing their selection decisions on pregnancy scanning data, which provides information on both fertility and fecundity, can improve the net reproduction rate of their flock by 2% regardless of the base reproduction rate. Despite little difference in likely flock reproduction rates between using early or later life scanning information as the selection criteria, early life performance is the best choice for commercial producers because it provides scope for eliminating twice-dry ewes from the breeding flock early in life, especially when combined with udder examination at marking.
Additional keywords: pregnancy scanning, selection criteria, udder examination.
References
Behrendt R, Curnow CA (2009) ‘Ewe management handbook: optiminsing Merino ewe nutrition to increase farm profit.’ Southern Slopes NSW & North Central Victoria edition. (Western Australian Department of Agriculture and Food: Perth)Corbett JL (1979) Variation in wool growth with physiological state. In ‘Physiological limitations to wool growth’. (Eds JL Black, PJ Reis) pp. 79–98. (The University of New England Publishing Unit: Armidale, NSW)
Fowler DG, Wilkins JF (1984) Diagnosis of pregnancy and number of foetuses in sheep by real-time ultrasonic imaging. I. Effects of number of foetuses, stage of gestation, operator and breed of ewe on accuracy of diagnosis. Livestock Production Science 11, 437–450.
| Diagnosis of pregnancy and number of foetuses in sheep by real-time ultrasonic imaging. I. Effects of number of foetuses, stage of gestation, operator and breed of ewe on accuracy of diagnosis.Crossref | GoogleScholarGoogle Scholar |
Gilmour AR, Gogel BJ, Cullis BR, Thompson R (2009). ‘ASReml user guide release 3.0.’ (VSN International Ltd: Hemel Hempstead, UK)
Hatcher S, Curran G, White A, Casey AE, Refshauge PG (2013) ‘Sheep udder assessment at lamb marking.’ PrimeFact 1289. (NSW Department of Primary Industries: Orange, NSW)
Lee GJ, Atkins KD (1996) Prediction of lifetime reproductive performance of Australian Merino ewes from reproductive performance in early life. Australian Journal of Experimental Agriculture 36, 123–128.
| Prediction of lifetime reproductive performance of Australian Merino ewes from reproductive performance in early life.Crossref | GoogleScholarGoogle Scholar |
Lee GJ, Atkins KD, Sladek MA (2009) Heterogeneity of lifetime reproductive performance, its components and associations with wool production and liveweight of Merino ewes. Animal Production Science 49, 624–629.
| Heterogeneity of lifetime reproductive performance, its components and associations with wool production and liveweight of Merino ewes.Crossref | GoogleScholarGoogle Scholar |
Mortimer SI, Atkins KD (1989) Genetic evaluation of production traits between and within flocks of Merino sheep. I. Hogget fleece weights, body weight and wool quality. Australian Journal of Agricultural Research 40, 433–443.
| Genetic evaluation of production traits between and within flocks of Merino sheep. I. Hogget fleece weights, body weight and wool quality.Crossref | GoogleScholarGoogle Scholar |
Mortimer SI, Atkins KD, Eissen J, van Heelsum A, Burns AM, Issac BR (1994) Effect of changing Merino ram source on average hogget wool production and wool quality levels and between-animal variability. Wool Technology and Sheep Breeding 42, 243–252.
Richards JS, Atkins KD, Mortimer M, Semple SJ (2006) Pedigree assignment by electronic matching of lambs and dams. Animal Production in Australia 26, 31
Rowe JB (2003) Nutritional management of the Australian sheep flock. Recent Advances in Animal Nutrition in Australia 14, 23–31.
Sheep CRC (2013) ‘Software – Smart Merino. Vol. 2013: Cooperative Research Centre for Sheep Industry Innovation.’ Available at http://www.sheepcrc.org.au/resources/software–smart-merino.php. [Verified 10 March 2014]
Taylor PJ, Atkins KD (1997) Genetically improving fleece weight and fibre diameter of the Australian Merino – The Trangie QPLU$ project. Wool Technology and Sheep Breeding 45, 92–107.
Turner HN, Brown G, Ford G (1968) The influence of age structure on total productivity in breeding flocks of Merino sheep. I. Flocks with a fixed number of breeding ewes, producing their own replacements. Australian Journal of Agricultural Research 19, 443–475.
| The influence of age structure on total productivity in breeding flocks of Merino sheep. I. Flocks with a fixed number of breeding ewes, producing their own replacements.Crossref | GoogleScholarGoogle Scholar |
White IR, Russel AJF, Fowler DG (1984) Real-time ultrasonic scanning in the diagnosis of pregnancy and the determination of foetal numbers in sheep. The Veterinary Record 115, 140–143.
| Real-time ultrasonic scanning in the diagnosis of pregnancy and the determination of foetal numbers in sheep.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaL2M%2FhvVWmtg%3D%3D&md5=f01be4be5a4723d4c8a0f08319ecd4aeCAS | 6385455PubMed |