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RESEARCH ARTICLE (Open Access)

Reproductive performance of northern Australia beef herds. 5. Factors influencing risk of non-pregnancy

K. D. McCosker https://orcid.org/0000-0001-9442-0222 A E * , N. R. Perkins B F , G. Fordyce https://orcid.org/0000-0001-5792-0711 C , P. K. O’Rourke D and M. R. McGowan B
+ Author Affiliations
- Author Affiliations

A Department of Industry, Tourism and Trade, PO Box 1346, Katherine, NT 0851, Australia.

B AusVet Animal Health Services, PO Box 1278, Toowoomba, Qld 4350, Australia.

C The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, Carmody Road, St Lucia, Qld 4072, Australia.

D Queensland Institute of Medical Research, 300 Herston Road, Herston, Qld 4006, Australia.

E Present address: The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, Warrego Highway, Gatton, Qld 4343, Australia.

F Present address: The University of Queensland, School of Veterinary Science, Warrego Highway, Gatton, Qld 4343, Australia.

* Correspondence to: kieren.mccosker@bigpond.com

Handling Editor: Di Mayberry

Animal Production Science - https://doi.org/10.1071/AN17503
Submitted: 24 July 2017  Accepted: 25 January 2022   Published online: 22 March 2022

© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context: Sound reproductive efficiency is a key determinant for the overall productivity and profitability of a beef breeding business. Failure of a cow to conceive results in either culling or the cost of carrying non-pregnant animals.

Aims: This study aimed to determine and quantify the major factors associated with non-pregnancy in commercial beef breeding herds of northern Australia.

Methods: A prospective population-based epidemiological study of the likelihood of non-pregnancy in cows after an annual mating in northern Australian beef breeding cows used data from 73 herds from four broad country types and 62 323 animal years; approximately 80 property-, management-group- and cow-level risk factors were considered. A multivariable model building process was employed to scrutinise the resulting dataset, so as to identify what herd management practices, nutritional, environmental, and individual cow factors were associated with non-pregnancy and estimate their magnitude of effect.

Key results: Non-pregnancy was disproportionately high in the Northern Forest (32.1%), compared with the Northern Downs, Central Forest and Southern Forest where it was 17.1%, 16.0% and 13.2% respectively. Time of expected calving had the largest impact on occurrence of non-pregnancy. Parity also had a significant influence, with first-lactation cows typically having 5–12% higher non-pregnancy than did mature cows. Non-pregnancy decreased with an increasing body condition score at the branding/weaning muster for lactating cows. The difference in non-pregnancy when comparing availability of wet-season pasture phosphorus content and digestibility of pasture during the dry season was 13.2 and 10.2 percentage points respectively.

Conclusions: This study demonstrated the substantial impact environment, herd management practices, nutrition and disease factors can have on the reproductive performance of females.

Implications: To optimise the efficiency of females (through reducing the occurrence of non-pregnancy) under commercial conditions in northern Australia, production systems should support beef herds calving early in the production year, being in at least moderate body condition and having access to more digestible pastures that address the nutritional requirements for both protein and phosphorus. This indicates focus for management, especially in the Northern Forest where the likelihood of non-pregnancy was highest.

Keywords: agriculture, beef cattle, conception, fertility, north Australia, pregnancy, reproduction, tropics.


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