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RESEARCH ARTICLE

Seasonal changes in pasture quality and diet selection and their relationship with liveweight gain of steers grazing tropical grass and grass–legume pastures in northern Australia

J. O. Hill A , D. B. Coates B , A. M. Whitbread C F , R. L. Clem D , M. J. Robertson E and B. C. Pengelly A
+ Author Affiliations
- Author Affiliations

A CSIRO Sustainable Ecosystems, Queensland Bioscience Precinct, 306 Carmody Road, St Lucia, Qld 4067, Australia.

B CSIRO Sustainable Ecosystems, Davies Laboratories, PMB PO, Aitkenvale, Qld 4814, Australia.

C CSIRO Sustainable Ecosystems, PMB2 Glen Osmond, SA 5064, Australia.

D Department of Primary Industries and Fisheries, Cartwright Road, Gympie, Qld 4570, Australia.

E CSIRO Sustainable Ecosystems, PMB5, Post Office Wembley, WA 6913, Australia.

F Corresponding author. Email: anthony.whitbread@csiro.au

Animal Production Science 49(11) 983-993 https://doi.org/10.1071/EA06331
Submitted: 18 February 2007  Accepted: 24 May 2009   Published: 14 October 2009

Abstract

The variation in liveweight gain in grazing beef cattle as influenced by pasture type, season and year effects has important economic implications for mixed crop–livestock systems and the ability to better predict such variation would benefit beef producers by providing a guide for decision making. To identify key determinants of liveweight change of Brahman-cross steers grazing subtropical pastures, measurements of pasture quality and quantity, and diet quality in parallel with liveweight were made over two consecutive grazing seasons (48 and 46 weeks, respectively), on mixed Clitoria ternatea/grass, Stylosanthes seabrana/grass and grass swards (grass being a mixture of Bothriochloa insculpta cv. Bisset, Dichanthium sericeum and Panicum maximum var. trichoglume cv. Petrie). Steers grazing the legume-based pastures had the highest growth rate and gained between 64 and 142 kg more than those grazing the grass pastures in under 12 months. Using an exponential model, green leaf mass, green leaf %, adjusted green leaf % (adjusted for inedible woody legume stems), faecal near infrared reflectance spectroscopy predictions of diet crude protein and diet dry matter digestibility, accounted for 77, 74, 80, 63 and 60%, respectively, of the variation in daily weight gain when data were pooled across pasture types and grazing seasons. The standard error of the regressions indicated that 95% prediction intervals were large (±0.42–0.64 kg/head.day) suggesting that derived regression relationships have limited practical application for accurately estimating growth rate. In this study, animal factors, especially compensatory growth effects, appeared to have a major influence on growth rate in relation to pasture and diet attributes. It was concluded that predictions of growth rate based only on pasture or diet attributes are unlikely to be accurate or reliable. Nevertheless, key pasture attributes such as green leaf mass and green leaf % provide a robust indication of what proportion of the potential growth rate of the grazing animals can be achieved.

Additional keywords: faecal near infrared reflectance spectroscopy, pasture production.


Acknowledgements

We thank staff from the Brian Pastures Research Station, Gayndah, for their technical assistance. We also thank David Eagles and Lachlan Blair for their assistance. Postdoctoral funding for Jacqui Hill to undertake this study was provided by CSIRO Sustainable Ecosystems.


References


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