Calf birth weight predicted remotely using automated in-paddock weighing technology.pdf (1.11 MB)
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Calf birth weight predicted remotely using automated in-paddock weighing technology

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journal contribution
posted on 09.05.2022, 02:55 by Anita ChangAnita Chang, Jose A Imaz, Luciano A González
4 l n l-Abstract: The present study aimed to develop predictive models of calf birth weight (CBW) from liveweight (LW) data collected remotely and individually using an automated in-paddock walk-over-weighing scale (WOW). Twenty-eight multiparous Charolais cows were mated with two Brahman bulls. The WOW was installed at the only watering point to capture LW over five months. Calf birth date and weight were manually recorded, and the liveweight change experienced by a dam at calving (∆LWC) was calculated as pre-LW minus post-LW calving. Cow non-foetal weight loss at calving (NFW) was calculated as ∆LWC minus CBW. Pearson’s correlational analysis and simple linear regressions were used to identify associations between all variables measured. No correlations were found between ∆LWC and pre-LW (p = 0.52), or post-LW (p = 0.14). However, positive associations were observed between ∆LWC and CBW (p < 0.001, R2 = 0.56) and NFW (p < 0.001, R2 = 0.90). Thus, the results suggest that 56% of the variation in ∆LWC is attributed to the calf weight, and consequently could be used as an indicator of CBW. Remote, in-paddock weighing systems have the potential to provide timely and accurate LW data of breeding cows to improve calving management and productivity.

Funding

Category 3 - Industry and Other Research Income

History

Volume

11

Issue

5

Start Page

1

End Page

9

Number of Pages

9

eISSN

2076-2615

Publisher

MDPI

Additional Rights

CC BY 4.0

Language

en

Peer Reviewed

Yes

Open Access

Yes

Acceptance Date

22/04/2021

External Author Affiliations

The University of Sydney

Author Research Institute

Institute for Future Farming Systems

Era Eligible

Yes

Journal

Animals

Article Number

1254

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