The use of walk over weigh to predict calving date in extensively managed beef herds
| Autor: | Fergus R. Job, Michael N. Aldridge, Julian Taylor, Wayne S. Pitchford, Greg I. Popplewell, S. J. Lee |
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| Rok vydání: | 2017 |
| Předmět: |
Alternative methods
Pregnancy test 0402 animal and dairy science Ice calving 04 agricultural and veterinary sciences Biology Beef cattle 040201 dairy & animal science Animal science Agronomy Northern australia Grazing 040103 agronomy & agriculture Environmental management system Herd 0401 agriculture forestry and fisheries Animal Science and Zoology Food Science |
| Zdroj: | Animal Production Science. 57:583 |
| ISSN: | 1836-0939 |
| DOI: | 10.1071/an15172 |
| Popis: | Beef cattle reproductive rate in northern Australia is low and substantial effort is underway to make improvements. Collection of calf birth date to inform female reproductive rate data is often not practical. Therefore, there is a need to find alternative methods for collecting birth date data. The aim of the project was to trial an automated animal weighing technology (walk over weigh) to estimate calving date for cows in a northern breeding herd grazing in an extensive pasture system. Two-hundred and thirty-two Wagyu cows from a herd of 1195 with confirmed pregnancy tests were stocked in a paddock with a walk over weigh unit at the entry point of the water yard. Each calf born in the paddock was weighed, ear-tagged and a DNA sample collected. After processing, cleaning and smoothing the data, weight profiles of the 232 cows over a 119-day period were analysed. From the weight profiles and confirmed DNA parentage, 96 out of a possible 162 (59%) cows that calved had a correct calving date prediction. It is proposed that improvements in calving date prediction could be increased through engineering changes designed to slow cow movement over the walk over weigh unit. The trial demonstrated with the proposed changes that walk over weigh could be used to estimate calving date in extensive beef herds, with the expectation that this information could be used in genetic evaluation to improve reproductive rate in northern Australia. |
| Databáze: | OpenAIRE |
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