Register      Login
Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE (Open Access)

Comparative enteric-methane emissions of dairy farms in northern Victoria, Australia

Sineka Munidasa https://orcid.org/0000-0002-9510-4640 A , Brendan Cullen https://orcid.org/0000-0003-2327-0946 A , Richard Eckard https://orcid.org/0000-0002-4817-1517 A , Saranika Talukder https://orcid.org/0000-0002-0453-3678 A , Lachlan Barnes B and Long Cheng https://orcid.org/0000-0002-8483-0495 A *
+ Author Affiliations
- Author Affiliations

A Faculty of Science, The University of Melbourne, Melbourne, Vic., Australia.

B Murray Dairy, 255 Ferguson Road, Tatura, Vic. 3616, Australia.

* Correspondence to: long.cheng@unimelb.edu.au

Handling Editor: Callum Eastwood

Animal Production Science 64, AN22330 https://doi.org/10.1071/AN22330
Submitted: 31 August 2022  Accepted: 8 March 2023  Published: 31 March 2023

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context

Enteric methane (CH4) is a source of greenhouse gas (GHG) in agriculture, which needs to be reduced. A variety of feeding systems for dairy production is being used in south-eastern Australia, but there are few studies that compare CH4 emissions and emission intensity (EI) of milk production across these systems.

Aims

The objective was to estimate the lactating cows’ enteric-CH4 emissions, EI and their seasonal changes, across different feeding systems in northern Victoria, Australia.

Methods

A Tier 2 inventory methodology was used to estimate the enteric-CH4 emissions and EI. Four case-study farms were selected to represent a range of feeding systems, Farms A, B, C and D were categorised as System 4–5 (hybrid–total mixed ration system), System 4 (hybrid system), System 2 (moderate–high bail system) and System 2 respectively. Monthly feed, animal and production data were sourced from June 2019 to May 2020.

Key results

Average enteric-CH4 emissions of Farms A and B (13.1 and 12.9 kg CO2e/head.day respectively) were greater than those of Farms C and D (11.7 and 11.6 kg CO2e/head.day respectively). Furthermore, CH4 EI was greater in Farms C and D (0.49 and 0.48 CO2-e kg/kg fat- and protein-corrected milk (FPCM) respectively) and it was lower in both Farms A and B (0.46 CO2-e kg/kg FPCM). Overall, Farms A and B using Feeding-system 4–5 with greater-producing cows produced more CH4 but with less CH4 EI than did the Farms C and D, which are mainly pasture-based.

Conclusions

These findings suggest that to reduce CH4 EI requires a move towards Feeding-system 4–5. However, on the basis of the results of the current study, pasture-based systems have an advantage over hybrid/total mixed ration feeding systems, as these farms have lower absolute CH4 emissions, which helps address climate change.

Implications

Estimation of CH4 emissions, EI and seasonal changes in them gives farmers the opportunity to identify the mitigation strategies and plan specific strategies that fit the particular feeding system and season. However, more research needs to be conducted to check the feasibility of doing this.

Keywords: Australia, bovine, climate change, emissions, evaluation, greenhouse gas, lactating cattle, sustainability.

References

Agriculture Victoria (2021) Victorian dairy industry fast facts. Available at https://agriculture.vic.gov.au/__data/assets/pdf_file/0011/698771/Dairy_Fast-Facts_June-2021_Final_v2.pdf [verified 7 March 2023]

Allen MR, Babiker M, Chen Y, de Coninck H, Connors S, van Diemen R, Dube OP, Ebi KL, Engelbrecht F, Ferrat M, et al. (2018) Summary for policymakers. In ‘Global Warming of 1.5°C: an IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty’. (Eds V Masson-Delmotte, P Zhai, H-O Pörtner, D Roberts, J Skea, PR Shukla, A Pirani, W Moufouma-Okia, C Péan, R Pidcock, S Connors, JBR Matthews, Y Chen, X Zhou, MI Gomis, E Lonnoy, T Maycock, M Tignor, T Waterfield). (IPCC)

Australian Government Department of Industry, Science, Energy and Resources (2021) Quarterly update of Australia’s national greenhouse gas inventory: December 2021. Available at https://www.dcceew.gov.au/sites/default/files/documents/nggi-quarterly-update-december-2021.pdf [verified 15 August 2022]

Charmley E, Williams SRO, Moate PJ, Hegarty RS, Herd RM, Oddy VH, Reyenga P, Staunton KM, Anderson A, Hannah MC (2016) A universal equation to predict methane production of forage-fed cattle in Australia. Animal Production Science 56, 169-180.
| Crossref | Google Scholar |

Christie KM, Gourley CJP, Rawnsley RP, Eckard RJ, Awty IM (2012) Whole-farm systems analysis of Australian dairy farm greenhouse gas emissions. Animal Production Science 52, 998-1011.
| Crossref | Google Scholar |

Christie KM, Rawnsley RP, Phelps C, Eckard RJ (2016) Revised greenhouse-gas emissions from Australian dairy farms following application of updated methodology. Animal Production Science 58, 937-942.
| Crossref | Google Scholar |

Dairy Australia (2022) Annual Report. Available at https://www.dairyaustralia.com.au/about/strategy-and-performance/annual-report#.Y_f0oHZBw2x [verified 24 February 2023]

Department of Agriculture and Water Resources ABARES (2020) About my region – Victoria – agricultural sector. Available at https://www.agriculture.gov.au/abares/research-topics/aboutmyregion/vic#agricultural-sector [verified 5 November 2020]

Department of Environment and Energy (2017) National inventory report. Available at https://www.industry.gov.au/sites/default/files/2020-07/national-inventory-report-2017-volume-1.pdf [verified 23 August 2020]

Dijkstra J, Van Zijderveld SM, Apajalahti JA, Bannink A, Gerrits WJJ, Newbold JR, Perdok HB, Berends H (2011) Relationships between methane production and milk fatty acid profiles in dairy cattle. Animal Feed Science and Technology 166–167, 590-595.
| Crossref | Google Scholar |

Eckard RJ, Grainger C, de Klein CAM (2010) Options for the abatement of methane and nitrous oxide from ruminant production: a review. Livestock Science 130, 47-56.
| Crossref | Google Scholar |

Gollnow S, Lundie S, Moore AD, McLaren J, van Buuren N, Stahle P, Christie K, Thylmann D, Rehl T (2014) Carbon footprint of milk production from dairy cows in Australia. International Dairy Journal 37, 31-38.
| Crossref | Google Scholar |

Hristov AN, Oh J, Lee C, Meinen R, Montes F, Ott T, Firkins J, Rotz A, Dell C, Adesogan A, Ang WZ, Tricarico J, Kebreab E, Waghorn GC, Dijkstra J, Oosting S (2013) ‘Mitigation of greenhouse gas emissions in livestock production: a review of technical options for non-CO2 emissions.’ FAO Animal Production and Health. Paper no. 177. (Eds P Gerber, B Henderson, H Makkar) (FAO: Rome, Italy)

International Dairy Federation (2015) A common carbon footprint approach for the dairy sector. International Dairy Federation. Available at https://www.fil-idf.org/wp-content/uploads/2016/09/Bulletin479-2015_A-common-carbon-footprint-approach-for-the-dairy-sector.CAT.pdf [verified 23 September 2020]

Johnson KA, Johnson DE (1995) Methane emissions from cattle. Journal of Animal Science 73, 2483-2492.
| Crossref | Google Scholar |

Miller GD, Auestad N (2013) Towards a sustainable dairy sector: leadership in sustainable nutrition. International Journal of Dairy Technology 66, 307-316.
| Crossref | Google Scholar |

Minson DJ, McDonald CK (1987) Estimating forage intake from the growth of beef cattle. Tropical Grasslands 21, 116-122.
| Google Scholar |

Moate PJ, Deighton MH, Williams SRO, Pryce JE, Hayes BJ, Jacobs JL, Eckard RJ, Hannah MC, Wales WJ (2016) Reducing the carbon footprint of Australian milk production by mitigation of enteric methane emissions. Animal Production Science 56, 1017-1034.
| Crossref | Google Scholar |

Murray Dairy (2019) ‘Future focus.’ (Murray Dairy: Tatura, Vic., Australia)

O’Neill BF, Deighton MH, O’Loughlin BM, Mulligan FJ, Boland TM, O’Donovan M, Lewis E (2011) Effects of a perennial ryegrass diet or total mixed ration diet offered to spring-calving Holstein-Friesian dairy cows on methane emissions, dry matter intake, and milk production. Journal of Dairy Science 94, 1941-1951.
| Crossref | Google Scholar |

Orcasberro MS, Loza C, Gere J, Soca P, Picasso V, Astigarraga L (2021) Seasonal effect on feed intake and methane emissions of cow–calf systems on native grassland with variable herbage allowance. Animals 11, 882.
| Crossref | Google Scholar |

Standing Committee on Agriculture (1990) ‘Feeding standards for Australian livestock. Ruminants.’ (CSIRO: Canberra, ACT, Australia)

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

Wood M, Wang QJ, Bethune M (2007) An economic analysis of conversion from border-check to centre pivot irrigation on dairy farms in the Murray Dairy Region, Australia. Irrigation Science 26, 9-20.
| Crossref | Google Scholar |

Wu H, Zhang P, Zhang F, Shishir MSR, Chauhan SS, Rugoho I, Suleria H, Zhao G, Cullen B, Cheng L (2022) Effect of grape marc added diet on live weight gain, blood parameters, nitrogen excretion, and behaviour of sheep. Animals 12, 225.
| Crossref | Google Scholar |