Genetics of heifer performance in ‘wet’ and ‘dry’ seasons and their relationships with steer performance in two tropical beef genotypes
S. A. Barwick A B G , D. J. Johnston A B , H. M. Burrow A C , R. G. Holroyd A D , G. Fordyce A E , M. L. Wolcott A B , W. D. Sim A C and M. T. Sullivan A FA Cooperative Research Centre for Beef Genetic Technologies, Armidale, NSW 2351, Australia.
B Animal Genetics and Breeding Unit 1 , University of New England, Armidale, NSW 2351, Australia.
C CSIRO Livestock Industries, Rockhampton, Qld 4702, Australia.
D Queensland Department of Primary Industries and Fisheries, Rockhampton, Qld 4702, Australia.
E Queensland Department of Primary Industries and Fisheries, Charters Towers, Qld 4820, Australia.
F Queensland Department of Primary Industries and Fisheries, PO Box 1333, Mount Isa, Qld 4825, Australia.
G Corresponding author. Email: steve.barwick@dpi.nsw.gov.au
Animal Production Science 49(6) 367-382 https://doi.org/10.1071/EA08273
Submitted: 11 November 2008 Accepted: 16 February 2009 Published: 13 May 2009
Abstract
The genetics of heifer performance in tropical ‘wet’ and ‘dry’ seasons, and relationships with steer performance, were studied in Brahman (BRAH) and Tropical Composite (TCOMP) (50% Bos indicus, African Sanga or other tropically adapted Bos taurus; 50% non-tropically adapted Bos taurus) cattle of northern Australia. Data were from 2159 heifers (1027 BRAH, 1132 TCOMP), representing 54 BRAH and 51 TCOMP sires. Heifers were assessed after post-weaning ‘wet’ (ENDWET) and ‘dry’ (ENDDRY) seasons. Steers were assessed post-weaning, at feedlot entry, over a 70-day feed test, and after ∼120-day finishing. Measures studied in both heifers and steers were liveweight (LWT), scanned rump fat, rib fat and M. longissimus area (SEMA), body condition score (CS), hip height (HH), serum insulin-like growth factor-I concentration (IGF-I), and average daily gains (ADG). Additional steer measures were scanned intra-muscular fat %, flight time, and daily (DFI) and residual feed intake (RFI). Uni- and bivariate analyses were conducted for combined genotypes and for individual genotypes. Genotype means were predicted for a subset of data involving 34 BRAH and 26 TCOMP sires. A meta-analysis of genetic correlation estimates examined how these were related to the difference between measurement environments for specific traits.
There were genotype differences at the level of means, variances and genetic correlations. BRAH heifers were significantly (P < 0.05) faster-growing in the ‘wet’ season, slower-growing in the ‘dry’ season, lighter at ENDDRY, and taller and fatter with greater CS and IGF-I at both ENDWET and ENDDRY. Heritabilities were generally in the 20 to 60% range for both genotypes. Phenotypic and genetic variances, and genetic correlations, were commonly lower for BRAH. Differences were often explained by the long period of tropical adaptation of B. indicus. Genetic correlations were high between corresponding measures at ENDWET and ENDDRY, positive between fat and muscle measures in TCOMP but negative in BRAH (mean of 13 estimates 0.50 and –0.19, respectively), and approximately zero between steer feedlot ADG and heifer ADG in BRAH. Numerous genetic correlations between heifers and steers differed substantially from unity, especially in BRAH, suggesting there may be scope to select differently in the sexes where that would aid the differing roles of heifers and steers in production. Genetic correlations declined as measurement environments became more different, the rates of decline (environment sensitivity) sometimes differing with genotype. Similar measures (LWT, HH and ADG; IGF-I at ENDWET in TCOMP) were genetically correlated with steer DFI in heifers as in steers. Heifer SEMA was genetically correlated with steer feedlot RFI in BRAH (0.75 ± 0.27 at ENDWET, 0.66 ± 0.24 at ENDDRY). Selection to reduce steer RFI would reduce SEMA in BRAH heifers but otherwise have only small effects on heifers before their first joining.
Additional keywords: adaptation, Bos indicus, genetic correlation, genotype by environment, residual feed intake, sexual dimorphism.
Acknowledgements
Financial and in-kind support was provided by the Commonwealth Cooperative Research Centre program, NSW Department of Primary Industries, CSIRO, Queensland Department of Primary Industries, University of New England, Northern Pastoral Group, and Meat and Livestock Australia. We gratefully acknowledge the assistance of numerous staff with cattle management, steer feeding, data collection, laboratory analyses and data handling, including the Managers and staff of CSIRO ‘Belmont’, QDPI ‘Toorak’, ‘Brigalow’, ‘Brian Pastures’ and ‘Swans Lagoon’ Research Stations, and especially the contributions of Paul Williams, Nick Corbet, Peggy Olsson, Tracy Longhurst, Trudy Obst, Neil Cooper, Steve O’Connor and Russ Tyler.
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1 Animal Genetics and Breeding Unit is a joint venture of New South Wales Department of Primary Industries and the University of New England.