The influence of genetic and environmental factors on performance of Brahman heifers grazing pastures in northern Australia
E. Charmley
A
B
† Deceased October 2024. Contributed to investigation through data curation and investigation and met the definition of authorship.
Handling Editor: Kieren McCosker
Abstract
Between animal variation in performance is a determinant of productivity in the northern Australian beef industry. Understanding factors that contribute to this variation is critical for selection of superior genotypes and optimising the pasture animal interface.
To determine factors that influence performance of cattle grazing tropical pastures through co-ordinated grazing and pen studies.
Within a cohort of 56 yearling heifers, 32 were allocated to an 11-month grazing trial, whereas 24 were grazed, then individually fed hay in pens. At the end of the trial, pasture cattle were ranked according to liveweight (LW) gain and the top- and bottom-ranked animals were allocated to high-performance (HP) or low-performance (LP) groups. Residual feed intake (RFI) of heifers in pens was determined and correlations between pasture and pen performance were estimated. Pasture and diets were characterised using the Botanal method (pasture only) and near-infrared reflectance spectroscopy analysis. Activity on pasture was measured using global positioning system (GPS) collars. Pasture data were divided into dry and wet seasons and the grazing trial was analysed as a factorial, with performance group and season as the two factors.
There were seasonal differences in most measured variables of animal production, behaviour and rumen fermentation consistent with changes in diet quality. Diet selection, activity on pasture and rumen fermentation characteristics did not to differ between LP and HP groups. Differences in RFI of hay-fed heifers were attributed to variation in feed intake. There was a correlation (r2 = 0.5) between performance of heifers in pens and on pasture in the wet season.
Seasonal variations in pasture biomass and nutritive value had an overriding effect on LW change in growing beef cattle, but among-animal variation in LW gain was still apparent. This could not be attributed to any of the measured variables on pasture; however, RFI data suggested a genetic influence on intake, which was supported by estimated breeding values.
Several possible reasons for differences in performance of grazing cattle were ruled out by this research. Methods for measuring intake and efficiency of grazing cattle are required to understand and manage the grazing animal.
Keywords: beef cattle, feed efficiency, grazing behaviour, liveweight gain, nutritive value, pasture, residual feed intake, tropical.
References
Arablouei R, Wang L, Currie L, Yates J, Alvarenga FAP, Bishop-Hurley GJ (2023) Animal behavior classification via deep learning on embedded systems. Computers and Electronics in Agriculture 207, 107707.
| Crossref | Google Scholar |
Ash AJ, McIvor JG, Mott JJ, Andrew MH (1997) Building grass castles: integrating ecology and management of Australia’s tropical tallgrass rangelands. The Rangeland Journal 19, 123-14.
| Crossref | Google Scholar |
Bortolussi G, McIvor JG, Hodgkinson JJ, Coffey SG, Holmes CR (2005) The northern Australian beef industry, a snapshot. 3. Annual liveweight gains from pasture based systems. Australian Journal of Experimental Agriculture 45, 1093-1108.
| Crossref | Google Scholar |
Bowen MK, Poppi DP, McLennan SR (2017) Efficiency of rumen microbial protein synthesis in cattle grazing tropical pastures as estimated by a novel technique. Animal Production Science 57, 1702-1712.
| Crossref | Google Scholar |
Cantalapiedra-Hijar G, Ortigues-Marty I, Sepchat B, Agabriel J, Huneau JF, Fouillet H (2015) Diet–animal fractionation of nitrogen stable isotopes reflects the efficiency of nitrogen assimilation in ruminants. British Journal of Nutrition 113, 1158-1169.
| Crossref | Google Scholar | PubMed |
Cantalapiedra-Hijar G, Abo-Ismail M, Carstens GE, Guan LL, Hegarty R, Kenny DA, McGee M, Plastow G, Relling A, Ortigues-Marty I (2018) Review: biological determinants of between-animal variation in feed efficiency of growing beef cattle. Animal 12(S2), s321-s335.
| Crossref | Google Scholar | PubMed |
Carberry CA, Kenny DA, Han S, McCabe MS, Waters SM (2012) Effect of phenotypic residual feed intake and dietary forage content on the rumen microbial community of beef cattle. Applied and Environmental Microbiology 78, 4949-4958.
| Crossref | Google Scholar | PubMed |
Chacon E, Stobbs TH (1976) Influence of progressive defoliation of a grass sward on the eating behaviour of cattle. Australian Journal of Agricultural Research 27, 709-727.
| Crossref | Google Scholar |
Chaney AL, Marbach EP (1962) Modified reagents for determination of urea and ammonia. Clinical Chemistry 8, 130-132.
| Crossref | Google Scholar | PubMed |
Charmley E, Thomas D, Bishop-Hurley GJ (2023) Revisiting tropical pasture intake: what has changed in 50 years? Animal Production Science 63, 1851-1865.
| Crossref | Google Scholar |
Charmley E, Bishop-Hurley GJ, McSweeney CS, Takeuchi R, Martinez-Fernandez G, Denman S (2024) Factors influencing the variability in performance of cattle grazing tropical pasture. Animal Production Science 64, AN24203.
| Crossref | Google Scholar |
Clarke AM, Drennan MJ, McGee M, Kenny DA, Evans RD, Berry DP (2009) Intake, growth and carcass traits in male progeny of sires differing in genetic merit for beef production. Animal 3, 791-801.
| Crossref | Google Scholar | PubMed |
Coates DB (1996) Diet selection by cattle grazing Stylosanthes-grass pastures in the seasonally dry tropics: effect of year, season, stylo species and botanical composition. Australian Journal of Experimental Agriculture 36, 781-789.
| Crossref | Google Scholar |
Coates DB, Dixon RM (2011) Developing robust faecal near infrared spectroscopy calibrations to predict diet dry matter digestibility in cattle consuming tropical forages. Journal of Near Infrared Spectroscopy 19, 507-519.
| Crossref | Google Scholar |
Cressie N (1990) The origins of Kriging. Mathematical Geology 22, 239-252.
| Crossref | Google Scholar |
Durunna ON, Mujibi FDN, Goonewardene L, Okine EK, Basarab JA, Wang Z, Moore SS (2011) Feed efficiency differences and reranking in beef steers fed grower and finisher diets. Journal of Animal Science 89, 158-167.
| Crossref | Google Scholar | PubMed |
Gaden B (2005) Identifying live animal condition scoring systems for the Australian livestock export industry. Final Report, Project LIVE.120. Meat and Livestock Australia, Sydney, NSW, Australia. Available at https://www.mla.com.au/contentassets/c66b3ffdfe0d416f8683daa115518ae1/live.120_final_report.pdf
Gagen EJ, Wang J, Padmanabha J, Liu J, de Carvalho IPC, Liu J, Webb RI, Al Jassim R, Morrison M, Denman SE, McSweeney CS (2014) Investigation of a new acetogen isolated from an enrichment of the tammar wallaby forestomach. BMC Microbiology 14, 314.
| Crossref | Google Scholar |
Greenwood PL, Paull DR, McNally J, Kalinowski T, Ebert D, Little B, Smith DV, Rahman A, Valencia P, Ingham AB, Bishop-Hurley GJ (2017) Use of sensor-determined behaviours to develop algorithms for pasture intake by individual grazing cattle. Crop & Pasture Science 68, 1091-1099.
| Crossref | Google Scholar |
Hunt LP, Petty S, Cowley R, Fisher A, Ash AJ, MacDonald N (2007) Factors affecting the management of cattle grazing distribution in northern Australia: preliminary observations on the effect of paddock size and water points1. The Rangeland Journal 29, 169-179.
| Crossref | Google Scholar |
Kenny DA, Fitzsimons C, Waters SM, McGee M (2018) Invited review: improving feed efficiency of beef cattle – the current state of the art and future challenges. Animal 12, 1815-1826.
| Crossref | Google Scholar | PubMed |
Langlands JP, Sanson J (1976) Factors affecting the nutritive value of the diet and the composition of rumen fluid of grazing sheep and cattle. Australian Journal of Agricultural Research 27, 691-707.
| Crossref | Google Scholar |
Lawrence P, Kenny DA, Earley B, McGee M (2012) Grazed grass herbage intake and performance of beef heifers with predetermined phenotypic residual feed intake classification. Animal 6, 1648-1661.
| Crossref | Google Scholar | PubMed |
Marcus Rowcliffe J, Carbone C, Kays R, Kranstauber B, Jansen PA (2012) Bias in estimating animal travel distance: the effect of sampling frequency. Methods in Ecology and Evolution 3, 653-662.
| Crossref | Google Scholar |
McCann JC, Wiley LM, Forbes TD, Rouquette FM, Tedeschi LO (2014) Relationship between the rumen microbiome and residual feed intake-efficiency of brahman bulls stocked on bermudagrass pastures. PLoS ONE 9, e91864.
| Crossref | Google Scholar |
McGavin SL, Bishop-Hurley GJ, Charmley E, Greenwood PL, Callaghan MJ (2018) Effect of GPS sample interval and paddock size on estimates of distance travelled by grazing cattle in rangeland, Australia. The Rangeland Journal 40, 55-64.
| Crossref | Google Scholar |
McLennan S, McLean I, Paton C (2020) Re-defining the animal unit equivalence (AE) for grazing ruminants and its application for determining forage intake, with particular relevance to the northern Australian grazing industries. Project B.GBP.0036 Final Report. Meat & Livestock Australia, Sydney, NSW, Australia.
Mulliniks JT, Cope ER, McFarlane ZD, Hobbs JD, Waterman RC (2016) Drivers of grazing livestock efficiency: how physiology, metabolism, experience and adaptability influence productivity. Journal of Animal Science 94, 111-119.
| Crossref | Google Scholar |
Mwangi FW, Gardiner CP, Walker G, Hall TJ, Malau-Aduli BS, Kinobe RT, Malau-Aduli AEO (2021) Growth performance and plasma metabolites of grazing beef cattle backgrounded on buffel or buffel-desmanthus mixed pastures. Animals 11, 2355.
| Crossref | Google Scholar |
Myer PR, Smith TPL, Wells JE, Kuehn LA, Freetly HC (2015) Rumen microbiome from steers differing in feed efficiency. PLoS ONE 10, e0129174.
| Crossref | Google Scholar |
Nozière P, Glasser F, Sauvant D (2011) In vivo production and molar percentages of volatile fatty acids in the rumen: a quantitative review by an empirical approach. Animal 5, 403-414.
| Crossref | Google Scholar | PubMed |
Owen-Smith N, Fryxell JM, Merrill EH (2010) Foraging theory upscaled: the behavioural ecology of herbivore movement. Philosophical Transactions of the Royal Society B: Biological Sciences 365, 2267-2278.
| Crossref | Google Scholar |
Poppi DP, McLennan SR (1995) Protein and energy utilization by ruminants at pasture. Journal of Animal Science 73, 278-290.
| Crossref | Google Scholar | PubMed |
Russell ML, Bailey DW, Thomas MG, Witmore BK (2012) Grazing distribution and diet quality of Angus, Brangus, and Brahman cows in the Chihuahuan Desert. Rangeland Ecology & Management 65, 371-381.
| Crossref | Google Scholar |
Satter LD, Slyter LL (1974) Effect of ammonia concentration on rumen microbial protein production in vitro. British Journal of Nutrition 32, 199-208.
| Crossref | Google Scholar | PubMed |
Schlecht E, Hülsebusch C, Mahler F, Becker K (2004) The use of differentially corrected global positioning system to monitor activities of cattle at pasture. Applied Animal Behaviour Science 85, 185-202.
| Crossref | Google Scholar |
Searle KR, Hunt LP, Gordon IJ (2010) Individualistic herds: individual variation in herbivore foraging behavior and application to rangeland management. Applied Animal Behaviour Science 122, 1-12.
| Crossref | Google Scholar |
Silva LFP, Hegarty RS, Meale SJ, Costa DAF, Fletcher MT (2022) Using the natural abundance of nitrogen isotopes to identify cattle with greater efficiency in protein-limiting diets. Animal 16, 100551.
| Crossref | Google Scholar |
Stifkens A, Matthews EM, McSweeney CS, Charmley E (2022) Increasing the proportion of Leucaena leucocephala in hay-fed beef steers reduces methane yield. Animal Production Science 62, 622-632.
| Crossref | Google Scholar |
Thomas DT, Milton JTB, Revell CK, Ewing MA, Dynes RA, Murray K, Lindsay DR (2010) Preference of sheep among annual legumes is more closely related to plant nutritive characteristics as plants mature. Animal Production Science 50, 114-123.
| Crossref | Google Scholar |
Tomkins NW, O’Reagain PJ (2007) Global positioning systems indicate landscape preferences of cattle in the subtropical savannas. Rangeland Journal 29, 217-222.
| Google Scholar |
Topps JH (1969) Nutritional problems of livestock production from semi-arid grasslands in the tropics. Grass and Forage Science 24, 250-257.
| Crossref | Google Scholar |
Tsutsumi M, Takahashi Y, Emoto S, Ito N, Otani I, Matsumoto K (2016) Component-based quantification and prediction of diet selection by cattle grazing on multi-species communities. Grassland Science 62, 12-20.
| Crossref | Google Scholar |
Varva M, Ganskopp D (1998) Grazing behavior in ungulates: current concepts and future challenges. Annals of the Arid Zone 37, 319-335.
| Google Scholar |