Register      Login
Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Climate change effects on pasture-based dairy systems in south-eastern Australia

K. G. Pembleton https://orcid.org/0000-0002-1896-4516 A E , B. R. Cullen B , R. P. Rawnsley https://orcid.org/0000-0001-5381-0208 C and T. Ramilan D
+ Author Affiliations
- Author Affiliations

A Centre for Sustainable Agricultural Systems and School of Sciences, University of Southern Queensland, Toowoomba, Qld 4350, Australia.

B Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Vic. 3010, Australia.

C Tasmanian Institute of Agriculture, University of Tasmania, Private Bag 3523, Burnie, Tas. 7320, Australia.

D School of Agriculture and Environment, Massey University, Private Bag 11 222, Palmerston North 4417, New Zealand.

E Corresponding author. Email: Keith.Pembleton@usq.edu.au

Crop and Pasture Science - https://doi.org/10.1071/CP20108
Submitted: 6 April 2020  Accepted: 20 August 2020   Published online: 21 September 2020

Abstract

Increases in temperature, along with possible decreases in rainfall, will influence the production of forage on Australian dairy farms. A biophysical simulation study was undertaken to compare the performance of perennial pastures and annual forage cropping systems under a historical scenario and two possible future climate scenarios for three key dairy locations of south-eastern Australia. Pastures and forage-cropping systems were simulated with the biophysical models DairyMod and APSIM, respectively, for a location with a heavy reliance on irrigation (Dookie, Victoria), a location with a partial reliance on irrigation (Elliott, Tasmania), and a dryland location (Terang, Victoria). The historical climate scenario (baseline scenario) had no augmentation to climate data and an atmospheric CO2 concentration of 380 ppm, whereas the two future climate scenarios had either a 1°C increase in temperatures (with an atmospheric CO2 concentration of 435 ppm) and a concurrent 10% decrease in rainfall, or a 2°C increase in temperatures (with an atmospheric CO2 concentration of 535 ppm) and a concurrent 20% decrease in rainfall. At Dookie, mean annual dry matter yields of the forage-cropping options and the pasture systems increased under both future climate scenarios but more irrigation was required. At Terang, the yield of forage-cropping systems increased whereas the yield of the pasture systems decreased under the future climate scenarios. At Elliott, yields of irrigated pastures and cropping systems increased but there was minimal or a negative impact on yields of dryland pastures and cropping systems under the future climate scenarios. At all three locations, forage production increased in the colder months of the year with a decrease in production during the warmer months. This study indicates that double-cropping and irrigated-pasture systems at all three locations appear resilient to projected changes in climate; however, for irrigated systems this assumes a reliable supply of irrigation water. The systems implications of how a shift in the seasonality of forage supply within these options impacts on the farm system as a whole warrants further investigation.

Keywords: biophysical modeling, climate adaptation, pasture based dairy systems.


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 |

APSIM Initiative (2009) APSoil database, ver. 6.0. Agricultural Production Systems Research Unit, Toowoomba, Qld.

Barlow R (2008) National feedbase stocktake report. Dairy Australia, Melbourne.

Chapman DF, Jacobs JL, Ward GN, O’Brien GB, Kenny SN, Beca D, McKenzie FR (2006) Forage supply systems for dryland dairy farms in southern Australia. Proceedings of the New Zealand Grassland Association 68, 255–260.
Forage supply systems for dryland dairy farms in southern Australia.Crossref | GoogleScholarGoogle Scholar |

Chapman DF, Kenny SN, Beca D, Johnson IR (2008) Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 1. Physical production and economic performance. Agricultural Systems 97, 108–125.
Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 1. Physical production and economic performance.Crossref | GoogleScholarGoogle Scholar |

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 |

Chapman DF, Hill J, Tharmaraj J, Beca D, Kenny SN, Jacobs JL (2014) Increasing home-grown forage consumption and profit in non-irrigated dairy systems. 1. Rationale, systems design and management. Animal Production Science 54, 221–233.
Increasing home-grown forage consumption and profit in non-irrigated dairy systems. 1. Rationale, systems design and management.Crossref | GoogleScholarGoogle Scholar |

Chen L, Kim EJ, Merry RJ, Dewhurst RJ (2011) Nitrogen partitioning and isotopic fractionation in dairy cows consuming diets based on a range of contrasting forages. Journal of Dairy Science 94, 2031–2041.
Nitrogen partitioning and isotopic fractionation in dairy cows consuming diets based on a range of contrasting forages.Crossref | GoogleScholarGoogle Scholar |

CSIRO and BOM (2015) Climate change in Australia. Projections for Australia’s NRM regions. Technical Report. CSIRO and Bureau of Meteorology, Canberra, ACT. Available at: https://www.climatechangeinaustralia.gov.au/media/ccia/2.1.6/cms_page_media/168/CCIA_2015_NRM_TechnicalReport_WEB.pdf

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 |

Dillon P, Roche JR, Shalloo L, Horan B (2005) Optimising financial return from grazing in temperate pastures. In ‘Utilisation of grazed grass in temperate animal systems. Proceedings of a satellite workshop of XX International Grassland Congress’. July 2005, Cork, Ireland. (Ed. JJ Murphy) pp. 131–147. (Wageningen Academic Publishing: Wageningen, The Netherlands)

Dolling PJ, Robertson MJ, Asseng S, Ward PR, Latta RA (2005) Simulating lucerne growth and water use on diverse soil types in a Mediterranean-type environment. Australian Journal of Agricultural Research 56, 503–515.
Simulating lucerne growth and water use on diverse soil types in a Mediterranean-type environment.Crossref | GoogleScholarGoogle Scholar |

Fulkerson B, Doyle P (2001) ‘The Australian dairy industry.’ (Victorian Department of Natural Resources and Environment: Melbourne)

García SC, Fulkerson WJ (2005) Opportunities for future Australian dairy systems: a review. Australian Journal of Experimental Agriculture 45, 1041–1055.
Opportunities for future Australian dairy systems: a review.Crossref | GoogleScholarGoogle Scholar |

Garcia SC, Fulkerson WJ, Brookes SU (2008) Dry matter production, nutritive value and efficiency of nutrient utilization of a complementary forage rotation compared to a grass pasture system. Grass and Forage Science 63, 284–300.
Dry matter production, nutritive value and efficiency of nutrient utilization of a complementary forage rotation compared to a grass pasture system.Crossref | GoogleScholarGoogle Scholar |

Harle KJ, Howden SM, Hunt LP, Dunlop M (2007) The potential impact of climate change on the Australian wool industry by 2030. Agricultural Systems 93, 61–89.
The potential impact of climate change on the Australian wool industry by 2030.Crossref | GoogleScholarGoogle Scholar |

Holzworth DP, Huth NI, deVoil PG, Zurcher EJ, Herrmann NI, McLean G, Chenu K, van Oosterom EJ, Snow V, Murphy C, Chenu K, van Oosterom EJ, Snow V, Murphy C, et al (2014) APSIM—evolution towards a new generation of agricultural systems simulation. Environmental Modelling & Software 62, 327–350.
APSIM—evolution towards a new generation of agricultural systems simulation.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 |

Isbell RF (2002) ‘The Australian Soil Classification.’ (CSIRO Publishing: Melbourne)

Jacobs JL, McKenzie FR, Rigby SE, Kearney G (1998) Effect of nitrogen fertiliser application and length of lock up on dairy pasture dry matter yield and quality for silage in south-western Victoria. Australian Journal of Experimental Agriculture 38, 219–226.
Effect of nitrogen fertiliser application and length of lock up on dairy pasture dry matter yield and quality for silage in south-western Victoria.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, 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 |

Johnson IR, Chapman DF, Snow VO, Eckard RJ, Parsons AJ, Lambert MG, Cullen BR (2008) DairyMod and EcoMod: biophysical pasture-simulation models for Australia and New Zealand. Australian Journal of Experimental Agriculture 48, 621–631.
DairyMod and EcoMod: biophysical pasture-simulation models for Australia and New Zealand.Crossref | GoogleScholarGoogle Scholar |

Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ, Holzworth D, Huth NI, Hargreaves JNG, Meinke H, Hochman Z, McLean G, Verburg K, Snow V, Dimes JP, Silburn M, Wang E, Brown S, Bristow KL, Asseng S, Chapman S, McCown RL, Freebairn DM, Smith CJ (2003) An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy 18, 267–288.
An overview of APSIM, a model designed for farming systems simulation.Crossref | GoogleScholarGoogle Scholar |

Kimball BA, Kobayashi K, Bindi M (2002) Responses of agricultural crops to free-air CO2 enrichment. Advances in Agronomy 77, 293–368.
Responses of agricultural crops to free-air CO2 enrichment.Crossref | GoogleScholarGoogle Scholar |

Lee JM, Matthew C, Thom ER, Chapman DF (2012) Perennial ryegrass breeding in New Zealand: a dairy industry perspective. Crop & Pasture Science 63, 107–127.
Perennial ryegrass breeding in New Zealand: a dairy industry perspective.Crossref | GoogleScholarGoogle Scholar |

Li FY, Snow VO, Holzworth DP (2011) Modelling the seasonal and geographical pattern of pasture production in New Zealand. New Zealand Journal of Agricultural Research 54, 331–352.
Modelling the seasonal and geographical pattern of pasture production in New Zealand.Crossref | GoogleScholarGoogle Scholar |

Malcolm BJ, Cameron KC, Di HJ, Edwards GR, Moir JL (2014) The effect of four different pasture species compositions on nitrate leaching losses under high N loading. Soil Use and Management 30, 58–68.
The effect of four different pasture species compositions on nitrate leaching losses under high N loading.Crossref | GoogleScholarGoogle Scholar |

McKeon GM, Stone GS, Syktus JI, Carter JO, Flood NR, Ahrens DG, Bruget DN, Chilcott CR, Cobon DH, Cowley RA, Crimp SJ, Fraser GW, Howden SM, Johnston PW, Ryan JG, Stokes CJ, Day KA (2009) Climate change impacts on northern Australian rangeland livestock carrying capacity: a review of issues. The Rangeland Journal 31, 1–29.
Climate change impacts on northern Australian rangeland livestock carrying capacity: a review of issues.Crossref | GoogleScholarGoogle Scholar |

McLeod AR, Long SP (1999) Free-air carbon dioxide enrichment (FACE) in global change research: a review. Advances in Ecological Research 28, 1–56.
Free-air carbon dioxide enrichment (FACE) in global change research: a review.Crossref | GoogleScholarGoogle Scholar |

Pembleton KG, Donaghy DJ, Volenec JJ, Smith RS, Rawnsley RP (2010a) Yield, yield components and shoot morphology of four contrasting lucerne (Medicago sativa) cultivars grown in three cool temperate environments. Crop & Pasture Science 61, 503–511.
Yield, yield components and shoot morphology of four contrasting lucerne (Medicago sativa) cultivars grown in three cool temperate environments.Crossref | GoogleScholarGoogle Scholar |

Pembleton KG, Smith RS, Rawnsley RP, Donaghy DJ, Humphries AW (2010b) Genotype by environment interactions of lucerne (Medicago sativa L.) in a cool temperate climate. Crop & Pasture Science 61, 493–502.
Genotype by environment interactions of lucerne (Medicago sativa L.) in a cool temperate climate.Crossref | GoogleScholarGoogle Scholar |

Pembleton KG, Rawnsley RP, Donaghy DJ (2011) Yield and water-use efficiency of contrasting lucerne genotypes grown in a cool temperate environment. Crop & Pasture Science 62, 610–623.
Yield and water-use efficiency of contrasting lucerne genotypes grown in a cool temperate environment.Crossref | GoogleScholarGoogle Scholar |

Pembleton KG, Rawnsley RP, Jacobs JL, Mickan FJ, O’Brien GN, Cullen BR, Ramilan T (2013) Evaluating the accuracy of the Agricultural Production Systems Simulator (APSIM) simulating growth, development and herbage nutritive characteristics of forage crops grown in the south-eastern dairy regions of Australia. Crop & Pasture Science 64, 147–164.
Evaluating the accuracy of the Agricultural Production Systems Simulator (APSIM) simulating growth, development and herbage nutritive characteristics of forage crops grown in the south-eastern dairy regions of Australia.Crossref | GoogleScholarGoogle Scholar |

Pembleton KG, Rawnsley RP, Cullen BR, Harrison MT (2016) Modelling the resilience of forage crop production to future climate change in the dairy regions of south eastern Australia using APSIM. The Journal of Agricultural Science 154, 1131–1152.
Modelling the resilience of forage crop production to future climate change in the dairy regions of south eastern Australia using APSIM.Crossref | GoogleScholarGoogle Scholar |

Potter NJ, Chiew FHS, Frost AJ (2010) An assessment of the severity of recent reductions in rainfall and runoff in the Murray–Darling Basin. Journal of Hydrology 381, 52–64.
An assessment of the severity of recent reductions in rainfall and runoff in the Murray–Darling Basin.Crossref | GoogleScholarGoogle Scholar |

Rawnsley RP, Donaghy DJ, Stevens DR (2007) What is limiting production and consumption of perennial ryegrass in temperate dairy regions of Australia and New Zealand? In ‘Dairy science 2007. Meeting the challenges for pasture-based dairying. Proceedings 3rd Dairy Science Symposium’. (Eds DF Chapman, DA Clark, KL Macmillan, DP Nation) pp. 256–276. (The University of Melbourne: Melbourne, Vic.)

Rawnsley RP, Chapman DF, Jacobs JL, Garcia SC, Callow MN, Edwards GR, Pembleton KG (2013) Complementary forages—integration at a whole farm level. Animal Production Science 53, 976–987.
Complementary forages—integration at a whole farm level.Crossref | GoogleScholarGoogle Scholar |

Reilly J, Tubiello F, McCarl B, Abler D, Darwin R, Fuglie K, Hollinger S, Izaurralde C, Jagtap S, Jones J, Mearns L, Ojima D, Paul E, Paustian K, Riha S, Rosenberg N, Rosenzweig C (2003) U.S. agriculture and climate change: new results. Climatic Change 57, 43–67.
U.S. agriculture and climate change: new results.Crossref | GoogleScholarGoogle Scholar |

Reyenga PJ, Howden SM, Meinke H, McKeon GM (1999) Modelling global change impacts on wheat cropping in south-east Queensland, Australia. Environmental Modelling & Software 14, 297–306.
Modelling global change impacts on wheat cropping in south-east Queensland, Australia.Crossref | GoogleScholarGoogle Scholar |

Reyenga PJ, Howden SM, Meinke H, Hall WB (2001) Global change impacts on wheat production along an environmental gradient in south Australia. Environment International 27, 195–200.
Global change impacts on wheat production along an environmental gradient in south Australia.Crossref | GoogleScholarGoogle Scholar | 11697669PubMed |

Robertson MJ, Carberry PS, Huth NI, Turpin JE, Probert ME, Poulton PL, Bell M, Wright GC, Yeates SJ, Brinsmead RB (2002) Simulation of growth and development of diverse legume species in APSIM. Australian Journal of Agricultural Research 53, 429–446.
Simulation of growth and development of diverse legume species in APSIM.Crossref | GoogleScholarGoogle Scholar |

Roche JR, Turner LR, Lee JM, Edmeades DC, Donaghy DJ, Macdonald KA, Penno JW, Berry DP (2009) Weather, herbage quality and milk production in pastoral systems. 3. Inter-relationships and associations between weather variables and herbage growth rate, quality and mineral concentration. Animal Production Science 49, 211–221.
Weather, herbage quality and milk production in pastoral systems. 3. Inter-relationships and associations between weather variables and herbage growth rate, quality and mineral concentration.Crossref | GoogleScholarGoogle Scholar |

Rogers M-J, Lawson A, Kelly K (2017) Forage options for dairy farms with reduced water availability in the southern Murray Darling basin of Australia. Sustainability 9, 2369
Forage options for dairy farms with reduced water availability in the southern Murray Darling basin of Australia.Crossref | GoogleScholarGoogle Scholar |

Stockdale CR (2010) Wastage of conserved fodder when feeding livestock. Animal Production Science 50, 400–404.
Wastage of conserved fodder when feeding livestock.Crossref | GoogleScholarGoogle Scholar |

Tharmaraj J, Chapman DF, Hill J, Jacobs JL, Cullen BR (2014) Increasing home-grown forage consumption and profit in non-irrigated dairy systems. 2. Forage harvested. Animal Production Science 54, 234–246.
Increasing home-grown forage consumption and profit in non-irrigated dairy systems. 2. Forage harvested.Crossref | GoogleScholarGoogle Scholar |

Thomson AM, Izaurralde RC, Rosenberg NJ, He XX (2006) Climate change impacts on agriculture and soil carbon sequestration potential in the Huang-Hai Plain of China. Agriculture, Ecosystems & Environment 114, 195–209.
Climate change impacts on agriculture and soil carbon sequestration potential in the Huang-Hai Plain of China.Crossref | GoogleScholarGoogle Scholar |

Wales WJ, Kolver ES (2017) Challenges of feeding dairy cows in Australia and New Zealand. Animal Production Science 57, 1366–1383.
Challenges of feeding dairy cows in Australia and New Zealand.Crossref | GoogleScholarGoogle Scholar |

Wullschleger SD, Tschaplinski TJ, Norby RJ (2002) Plant water relations at elevated CO2—implications for water-limited environments. Plant, Cell & Environment 25, 319–331.
Plant water relations at elevated CO2—implications for water-limited environments.Crossref | GoogleScholarGoogle Scholar |

Zadoks JC, Chang TT, Konzak CF (1974) A decimal code for the growth stages of cereals. Weed Research 14, 415–421.
A decimal code for the growth stages of cereals.Crossref | GoogleScholarGoogle Scholar |

Zahid MS, Bellotti W, McNeill A, Robertson M (2003) Performance of APSIM-Lucerne in South Australia. In ‘Solutions for a better environment. Proceedings 11th Australian Agronomy Conference’. 2–6 February 2003, Geelong, Vic. (Eds M Unkovich, G O’Leary) (Australian Society of Agronomy) Available at: http://www.agronomyaustraliaproceedings.org/images/sampledata/2003/c/10/bellotti.pdf