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RESEARCH ARTICLE

Repeatability and frequency of in-paddock sheep walk-over weights: implications for individual animal management

D. J. Brown A B C D , D. B. Savage A C and G. N. Hinch A C
+ Author Affiliations
- Author Affiliations

A Cooperative Research Centre for Sheep Industry Innovation, Australia.

B Holmes Sackett, 59C Baylis Street, Wagga Wagga, NSW 2650, Australia.

C School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.

D Corresponding author. Email: davidb@holmessackett.com.au

Animal Production Science 54(2) 207-213 https://doi.org/10.1071/AN12311
Submitted: 1 September 2012  Accepted: 19 March 2013   Published: 15 May 2013

Abstract

Sheep liveweight is an indicator of nutritional status, and its measure may be used as an aid to nutritional management. When walk-over weighing (WOW), a remote weighing concept for grazing sheep, is combined with radio frequency identification (RFID), resulting ‘RFID-linked WOW’ data may enable the liveweight of individual sheep to be tracked over time. We investigated whether RFID-linked WOW data is sufficiently repeatable and frequent to generate individual liveweight estimates with 95% confidence intervals (95% CI) of <2 kg (a sufficient level of error to account for fluctuating gut fill) for a flock within timeframes suitable for management (1-day and 5-day timeframes). Four flocks of sheep were used to generate RFID-linked WOW datasets. RFID-linked WOW data were organised into three groups: raw (unfiltered), coarse filtered (remove all sheep-weights outside the flock’s liveweight range), and fine filtered (remove all sheep-weights outside a 25% range of a recent flock average reference liveweight). The repeatability of raw (unfiltered) RFID-linked WOW data was low (0.20), while a coarse (0.46) and fine (0.76) data filter improved repeatability. The 95% CI of raw RFID-linked WOW data was 27 kg, and was decreased by a coarse (11 kg) and fine (6 kg) data filter. Increasing the number of raw, coarse and fine-filtered data points to 190, 30 and 12 sheep-weights, respectively, decreased the 95% CI to <2 kg. The mean cumulative percentage of sheep achieving >11 fine-filtered RFID-linked WOW sheep-weights within a 1-day and 5-day timeframe was 0 and 10%, respectively. The null hypothesis was accepted: RFID-linked WOW data had low repeatability and was unable to generate liveweight estimates with a 95% CI of less than 2 kg within a suitable timeframe. Therefore, at this stage, RFID-linked WOW is not recommended for on-farm decision making of individual sheep.

Additional keywords: RFID, sample size, weighing systems.


References

Brown DJ, Savage DB, Hinch GN, Semple SJ (2012) Mob-based walk-over weights: similar to the average of individual static weights? Animal Production Science 52, 613–618.

Burrin DG, Ferrell CL, Britton RA, Bauer M (1990) Level of nutrition and visceral organ size and metabolic activity in sheep. The British Journal of Nutrition 64, 439–448.
Level of nutrition and visceral organ size and metabolic activity in sheep.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK3M%2FislOjtw%3D%3D&md5=1927069df4fd7b9079bc85f9fa07ed20CAS | 2223745PubMed |

Chapple RS, Wodzicka-Tomaszewska M, Lynch JJ (1987) The learning behaviour of sheep when introduced to wheat. I. Wheat acceptance by sheep and the effect of trough familiarity. Applied Animal Behaviour Science 18, 157–162.
The learning behaviour of sheep when introduced to wheat. I. Wheat acceptance by sheep and the effect of trough familiarity.Crossref | GoogleScholarGoogle Scholar |

Filby DE, Turner MJB, Street MJ (1979) A walk-through weigher for dairy cows. Journal of Agricultural Engineering Research 24, 67–78.
A walk-through weigher for dairy cows.Crossref | GoogleScholarGoogle Scholar |

Geenty KG, Smith AJ, Dyall TR, Lee GJ, Smith D, Brewer H, Uphill GC (2007) Remote drafting technology for management of pregnant Merino ewes. In ‘Proceedings from the Recent Advances in Animal Nutrition in Australia’. (Eds P Cronje, N Richards) pp. 223–228. (University of New England Publishing Unit: Armidale)

Genstat (2011) ‘Genstat for Windows. Release 14.1.’ (VSN International Ltd: Oxford)

Hutson GD (1980) The effect of previous experience on sheep movement through yards. Applied Animal Ethology 6, 233–240.
The effect of previous experience on sheep movement through yards.Crossref | GoogleScholarGoogle Scholar |

Jordan DJ, Hatcher S, Lee GJ, McConnel I, Bowen MK, Della Bosca AJ, Rowe JB (2006) Nutritional management for reproductive efficiency. International Journal of Sheep and Wool Science 54, 35–41.

Kempthorne O (1957) ‘An introduction to genetic statistics.’ (Wiley: Oxford)

Lee GL, Sladek MA, Atkins KD, Semple SJ (2008) Varience components of liveweights of pregnant ewes measured by manual or remote methods, with and without processing by data screening. In ‘Proceedings from the Conference of the Australian Society of Animal Production’. (Eds DG Barber, AR Cowan, AR Anstis) p. 22. (University of Queensland: Brisbane)

Morris JE, Cronin GM, Bush RD (2012) Improving sheep production and welfare in extensive systems through precision sheep management. Animal Production Science 52, 665–670.

Richards JS, Atkins KD, Thompson T, Murray WK (2005) ‘Data retrieval from walk-through-weighing. Sheep updates 2005.’ (Australian Sheep CRC and NSW Department of Primary Industries: Orange)

Richards JS, Atkins KD, Thompson T, Murray WK (2006) Data from walk-over weighing – where are we at? In ‘Proceedings from the Australian Society of Animal Production 26th Biennial Conference’. (Eds NR Adams, KP Croker, DR Lindsay) Short Communication 32. (University of Western Australia: Perth)

Rowe JB (2004) Potential benefits of precision nutrition to increase reproductive efficiency under grazing conditions. Science Access 1, 144–147.

Savage DB, Ferguson DM, Fisher AD, Hinch GN, Mayer DG, Duflou E, Lea JM, Baillie ND, Raue M (2008) Preweaning feed exposure and different feed delivery systems to enhance feed acceptance of sheep. Australian Journal of Experimental Agriculture 48, 1040–1043.
Preweaning feed exposure and different feed delivery systems to enhance feed acceptance of sheep.Crossref | GoogleScholarGoogle Scholar |

Statgraphics (2009) ‘STATGRAPHICS Centurion XVI.’ (StatPoint Technologies: Warrenton, VA)