Effect of warming on the productivity of perennial ryegrass and kikuyu pastures in south-eastern Australia
Matthew J. Bell A , Richard J. Eckard A , Matthew T. Harrison B , James S. Neal C and Brendan R. Cullen A D
+ Author Affiliations
- Author Affiliations
A Melbourne School of Land and Environment, University of Melbourne, Vic. 3010, Australia.
B INRA, UMR 0759, Laboratoire d’Ecophysiologie des Plantes sous Stress Environnementaux, IBIP – Bât. 7, 2 Place Viala, F-34060 Montpellier, France.
C Oxley Island Dairies, 40 Neals Lane, Oxley Island, Taree, NSW 2430, Australia.
D Corresponding author. Email: bcullen@unimelb.edu.au
Crop and Pasture Science 64(1) 61-70 https://doi.org/10.1071/CP12358
Submitted: 19 October 2012 Accepted: 2 April 2013 Published: 3 May 2013
Abstract
Grazed pastures in south-eastern Australia are typically based on temperate (C3) species, such as perennial ryegrass (Lolium perenne). With predictions of warming to occur in this region, there has been growing interest in the performance of more heat-tolerant and deep-rooted subtropical (C4) pasture grasses, such as kikuyu (Pennisetum clandestinum). This study used an existing pasture model to estimate the production of kikuyu compared with the commonly used perennial ryegrass at seven sites in south-eastern Australia, using an historical baseline climate scenario between 1971 and 2010, and the daily temperature of the baseline scenario adjusted by +1, +2, and +3°C to represent potential warming in the future. The seven sites were chosen to represent the range of climatic zones and soil types in the region. First, the model predictions of monthly kikuyu dry matter (DM) production were validated with measured data at Taree, Camden, and Bega, with results showing good agreement. Second, pasture production (t DM/ha), metabolisable energy (ME, MJ/kg DM) content, and ME yield (GJ/ha) were predicted using the baseline and warmer climate scenarios. The study was based on 56 simulations of the factorial arrangement of seven sites × four temperature scenarios × two pastures. The month and annual ME yield of a kikuyu–subterranean clover (Trifolium subterraneum) pasture and a perennial ryegrass–subterranean clover pasture were compared. This study showed that in summer-dominant rainfall locations, where the average maximum temperature is >23°C, kikuyu was a more productive pasture species than perennial ryegrass. In winter-dominant rainfall locations during the warmer months of December–March, kikuyu can provide a useful source of ME when perennial ryegrass is less productive. With warming of up to 3°C at the winter-dominant rainfall sites, the average ME yield per year of kikuyu was predicted to surpass that of perennial ryegrass, but inter-annual variation in kikuyu production was higher. The nutritive value, seasonal distribution of growth, total annual production, and its variability are all important considerations for producers when selecting pasture species.
Additional keywords: C3 grass, C4 grass, metabolisable energy, pasture production, SGS model.
References
Alexander LV, Arblaster JM (2009) Assessing trends in observed and modelled climate extremes over Australia in relation to future projections. International Journal of Climatology 29, 417–435.| Assessing trends in observed and modelled climate extremes over Australia in relation to future projections.Crossref | GoogleScholarGoogle Scholar |
Campbell GS, Norman JM (1998) ‘An introduction to environmental biophysics.’ 2nd edn (Springer: New York)
Chapman DF, Cullen BR, Johnson IR, Beca D (2009) Interannual variation in pasture growth rate in Australian and New Zealand dairy regions and its consequences for system management. Animal Production Science 49, 1071–1079.
| Interannual variation in pasture growth rate in Australian and New Zealand dairy regions and its consequences for system management.Crossref | GoogleScholarGoogle Scholar |
CSIRO and BoM (2007) ‘Climate change in Australia.’ Technical Report 2007. (Eds KB Pearce, PN Holper, M Hopkins, WJ Bouma, PH Whetton, KJ Hensessy, SB Power) (CSIRO Marine and Atmospheric Research: Aspendale, Vic.) Available at: www.climatechangeinaustralia.gov.au/
Cullen BR, Eckard RJ, Callow MN, Johnson IR, Chapman DF, Rawnsley RP, Garcia SC, White T, Snow VO (2008) Simulating pasture growth rates in Australian and New Zealand grazing systems. Australian Journal of Agricultural Research 59, 761–768.
| Simulating pasture growth rates in Australian and New Zealand grazing systems.Crossref | GoogleScholarGoogle Scholar |
Cullen BR, Johnson IR, Eckard RJ, Lodge GM, Walker RG, Rawnsley RP, McCaskill MR (2009) Climate change effects on pasture systems in south-eastern Australia. Crop & Pasture Science 60, 933–942.
| Climate change effects on pasture systems in south-eastern Australia.Crossref | GoogleScholarGoogle Scholar |
Cullen BR, Eckard RJ, Rawnsley RP (2012) Resistance of pasture production to projected climate changes in south-eastern Australia. Crop & Pasture Science 63, 77–86.
| Resistance of pasture production to projected climate changes in south-eastern Australia.Crossref | GoogleScholarGoogle Scholar |
Fulkerson WJ, Doyle PT (2001) ‘The Australian dairy industry.’ (Department of Natural Resources and Environment: Kyabram, Vic.)
Fulkerson WF, Slack K, Hennessy DW, Hough GM (1998) Nutrients in ryegrass (Lolium spp.), white clover (Trifolium repens) and kikuyu (Pennisetum clandestinum) pastures in relation to season and stage of regrowth in a subtropical environment. Australian Journal of Experimental Agriculture 38, 227–240.
| Nutrients in ryegrass (Lolium spp.), white clover (Trifolium repens) and kikuyu (Pennisetum clandestinum) pastures in relation to season and stage of regrowth in a subtropical environment.Crossref | GoogleScholarGoogle Scholar |
Herrero M, Fawcett RH, Silveira V, Busqué J, Bernués A, Dent JB (2000a) Modelling the growth and utilisation of kikuyu grass (Pennisetum clandestinum) under grazing. 1. Model definition and parameterisation. Agricultural Systems 65, 73–97.
| Modelling the growth and utilisation of kikuyu grass (Pennisetum clandestinum) under grazing. 1. Model definition and parameterisation.Crossref | GoogleScholarGoogle Scholar |
Herrero M, Fawcett RH, Dent JB (2000b) Modelling the growth and utilisation of kikuyu grass (Pennisetum clandestinum) under grazing. 2. Model validation and analysis of management practices. Agricultural Systems 65, 99–111.
| Modelling the growth and utilisation of kikuyu grass (Pennisetum clandestinum) under grazing. 2. Model validation and analysis of management practices.Crossref | GoogleScholarGoogle Scholar |
Howden SM, Crimp SJ, Stokes CJ (2008) Climate change and Australian livestock systems: impacts, research and policy issues. Australian Journal of Experimental Agriculture 48, 780–788.
| Climate change and Australian livestock systems: impacts, research and policy issues.Crossref | GoogleScholarGoogle Scholar |
IPCC (2007) ‘Climate Change 2007 Series.’ (Cambridge University Press: New York)
Isbell RF (1996) ‘Australian soil and land survey handbook: the Australian Soil Classification.’ (CSIRO Publishing: Melbourne)
Ivory DA, Whiteman PC (1978) Effect of temperature on growth of five subtropical grasses. I. Effect of day and night temperature on growth and morphological development. Australian Journal of Plant Physiology 5, 131–148.
| Effect of temperature on growth of five subtropical grasses. I. Effect of day and night temperature on growth and morphological development.Crossref | GoogleScholarGoogle Scholar |
Jeffrey SJ, Carter JO, Moodie KM, Beswick AR (2001) Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environmental Modelling & Software 16, 309–330.
| Using spatial interpolation to construct a comprehensive archive of Australian climate data.Crossref | GoogleScholarGoogle Scholar |
Johnson IR (2012) Biophysical pasture model documentation: model documentation for DairyMod, EcoMod and the SGS Pasture Model. IMJ Consultants, Fitzroy, Vic. Available at: www.imj.com.au.
Johnson IR, Lodge GM, White RE (2003) The Sustainable Grazing Systems Pasture Model: description, philosophy and application to the SGS National Experiment. Australian Journal of Experimental Agriculture 43, 711–728.
| The Sustainable Grazing Systems Pasture Model: description, philosophy and application to the SGS National Experiment.Crossref | GoogleScholarGoogle Scholar |
Kemp (1975) The growth of three tropical pasture grasses on the mid-north coast of New South Wales. Australian Journal of Experimental Agriculture and Animal Husbandry 15, 637–644.
| The growth of three tropical pasture grasses on the mid-north coast of New South Wales.Crossref | GoogleScholarGoogle Scholar |
Kerley MS, Lardy GP (2007) Grazing animal nutrition. In ‘Forages, Volume II: The science of grassland agriculture’. 6th edn (Eds RF Barnes, CJ Nelson, KJ Moore, M Collins) pp. 660–673. (Iowa State Press: Ames, IA)
Lawes Agricultural Trust (2011) ‘Genstat 12, Version 12.1 Reference Manual.’ (Clarendon Press: London)
Lodge GM, Johnson IR (2008) Agricultural drought analyses for temperate Australia using a biophysical pasture model. 1. Identifying and characterising drought periods. Australian Journal of Agricultural Research 59, 1049–1060.
| Agricultural drought analyses for temperate Australia using a biophysical pasture model. 1. Identifying and characterising drought periods.Crossref | GoogleScholarGoogle Scholar |
Lodge GM, Johnson IR, Cullen BR (2009) Effects of climate scenarios on simulated intake of sheep grazing native pastures in northern New South Wales, Australia. Animal Production Science 49, 1015–1022.
| Effects of climate scenarios on simulated intake of sheep grazing native pastures in northern New South Wales, Australia.Crossref | GoogleScholarGoogle Scholar |
Lowe KF, Bowlder KM, Casey ND, Moss RJ (1999) Performance of temperate perennial pastures in the Australian subtropics. 1. Yield, persistence and pasture quality. Australian Journal of Experimental Agriculture 39, 663–676.
| Performance of temperate perennial pastures in the Australian subtropics. 1. Yield, persistence and pasture quality.Crossref | GoogleScholarGoogle Scholar |
Marais JP (2001) Factors affecting the nutritive value of kikuyu grass (Pennisetum clandestinum) – a review. Tropical Grasslands 35, 65–84.
McCaskill MR, Ridley AM, Okom A, White RE, Andrew MH, Michalk DL, Melland A, Johnston WH, Murphy SR (2003) SGS Nutrient Theme: environmental assessment of nutrient application to extensive pastures in the high rainfall zone of southern Australia. Australian Journal of Experimental Agriculture 43, 927–944.
| SGS Nutrient Theme: environmental assessment of nutrient application to extensive pastures in the high rainfall zone of southern Australia.Crossref | GoogleScholarGoogle Scholar |
McDowall MM, Hall DJM, Johnson DA, Bowyer J, Spicer P (2003) Kikuyu and annual pasture: a characterization of a productive and sustainable beef production system on the South Coast of Western Australia. Australian Journal of Experimental Agriculture 43, 769–783.
| Kikuyu and annual pasture: a characterization of a productive and sustainable beef production system on the South Coast of Western Australia.Crossref | GoogleScholarGoogle Scholar |
Minson DJ (1990) ‘Forage in ruminant nutrition.’ (Academic Press: San Diego, CA)
Moir KW, Dougherty HG, Goodwin PJ, Humphreys FJ, Martin PR (1979) An assessment of whether energy was the first factor limiting production of dairy cows grazing kikuyu grass pasture. Australian Journal of Experimental Agriculture 19, 530–534.
| An assessment of whether energy was the first factor limiting production of dairy cows grazing kikuyu grass pasture.Crossref | GoogleScholarGoogle Scholar |
Morgan JA, LeCain DR, Pendall E, Blumenthal DM, Kimball BA, Carrillo Y, Williams DG, Heisler-White J, Dijkstra FA, West M (2011) C4 grasses prosper as carbon dioxide eliminates desiccation in warmed semi-arid grassland. Nature 476, 202–205.
| C4 grasses prosper as carbon dioxide eliminates desiccation in warmed semi-arid grassland.Crossref | GoogleScholarGoogle Scholar | 21814202PubMed |
Neal JS, Fulkerson WJ, Lawrie R, Barchia IM (2009) Difference in yield and persistence among perennial forages used by the dairy industry under optimum and deficit irrigation. Crop & Pasture Science 60, 1071–1087.
| Difference in yield and persistence among perennial forages used by the dairy industry under optimum and deficit irrigation.Crossref | GoogleScholarGoogle Scholar |
Neal JS, Murphy SR, Harden S, Fulkerson WJ (2012) Differences in soil water content between perennial and annual forages and crops grown under deficit irrigation and used by the dairy industry. Field Crops Research 137, 148–162.
| Differences in soil water content between perennial and annual forages and crops grown under deficit irrigation and used by the dairy industry.Crossref | GoogleScholarGoogle Scholar |
Pearson CJ, Kemp H, Kirby AC, Launders TE, Mikled C (1985) Responsiveness to seasonal temperature and nitrogen among genotypes of kikuyu, paspalum and bermuda grass pastures of coastal New South Wales. Australian Journal of Experimental Agriculture 25, 109–116.
| Responsiveness to seasonal temperature and nitrogen among genotypes of kikuyu, paspalum and bermuda grass pastures of coastal New South Wales.Crossref | GoogleScholarGoogle Scholar |
Reeves M, Fulkerson WJ, Kellaway RC (1996) Forage quality of kikuyu (Pennisetum clandestinum): the effect of time of defoliation and nitrogen fertiliser application and in comparison with perennial ryegrass. Australian Journal of Agricultural Research 47, 1349–1359.
| Forage quality of kikuyu (Pennisetum clandestinum): the effect of time of defoliation and nitrogen fertiliser application and in comparison with perennial ryegrass.Crossref | GoogleScholarGoogle Scholar |
Sanford P, Wang X, Greathead KD, Gladman JH, Speijers J (2003) Impact of Tasmanian blue gum belts and kikuyu-based pasture on sheep production and groundwater recharge in south-western Western Australia. Australian Journal of Experimental Agriculture 43, 755–767.
| Impact of Tasmanian blue gum belts and kikuyu-based pasture on sheep production and groundwater recharge in south-western Western Australia.Crossref | GoogleScholarGoogle Scholar |
Thornley JHM (1998) ‘Grassland dynamics: an ecosystem simulation model.’ (CAB International: Wallingford, UK)
Thornton PK, van de Steeg J, Notenbaert A, Herrero M (2009) The impact of climate change on livestock and livestock systems in developing countries: A review of what we know and what we need to know. Agricultural Systems 101, 113–127.
| The impact of climate change on livestock and livestock systems in developing countries: A review of what we know and what we need to know.Crossref | GoogleScholarGoogle Scholar |
White RE, Christy BP, Ridley AM, Okom AE, Murphy SR, Johnston WH, Michalk DL, Sanford P, McCaskill MR, Johnson IR, Garden DL, Hall DJM, Andrew MH (2003) SGS Water Theme: influence of soil, pasture type and management on water use in grazing systems across the high rainfall zone of southern Australia. Australian Journal of Experimental Agriculture 43, 907–992.
| SGS Water Theme: influence of soil, pasture type and management on water use in grazing systems across the high rainfall zone of southern Australia.Crossref | GoogleScholarGoogle Scholar |
