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Cattle, prime beef, live weight, Burke {AU-QLD}| AusLCI, U

Unit process v00.00.000

This dataset represents the production of cattle for beef. The reference flow is 1000 Documentation for this dataset can be found in the 'LCAgMetrics Methodology for developing Life Cycle Inventory' report, available at https://agrifutures.com.au/. (Hume, I., Renouf, M.A., Eady, S.J., Grant, T., 2025). It was developed as part of the LCAgMetrics project, a partnership between Agrifutures Australia and Lifecycles, funded by the Australian Government's Sustainability Reporting Uplift Grant as part of the National Agriculture Traceability Grants Program. Production Volume: 159635.121 kg Activities included: The inventory begins with the breeding, growing and maintenance of cattle in the State, Region, and Production System detailed. Activities included are: Pasture, feed inputs, supplements and energy use on farm. Direct field emissions are included. The system boundary ends at the farm gate with the production of cattle for sale in three classes - culled cattle (Cast For Age cows and bulls), prime cattle (heifers, feeder steers and finished steers) and weaner cattle (female and male). Energy values: 13.0 MJ/kg. Nutritional values: Protein: 14.1%. Carbohydrate: 0.8%. Fat: 14.6%. Geography: Burke, Queensland, Australia. Technology level: Represents current practices as per gross margins reports (NSW DPI 2023 Rural Solutions SA 2022). Time period: 2017-2021. Version: 1.2 Record: Data entry by: Sandra Eady Tel: ; email: office@lifecycles.com.au; company:Lifecycles; Country: AU Generator: Generator/publicator: Sandra Eady Tel: ; email: office@lifecycles.com.au; company:Lifecycles; Country: AU

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Material
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Last updated
26 Aug 2024
Reference ID
6c3672a8-4bb9-3888-92cc-eea8c213e747

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Documentation

Quantitative reference
Cattle, prime beef, live weight, Burke {AU-QLD}| AusLCI, U
Sampling procedure
Herd structure and product turn-off from Breedcow Beef CRC templates (Holmes et al. 2011), Gross Margin publications (New South Wales Department of Primary Industries 2023; Ag Excellence Alliance 2024).
Creation date
26 Aug 2024
Is copyright protected
No
Is infrastructure process
No
Tags
material
Sources
National Inventory Report (NIR) 2023/2025/DCCEEW
Ash alkalinity/1991/Slattery et al.
Building a foundation for soil condition assessment/2009/Baldock et al.
Environmental performance of large ruminant supply chains/2016/FAO
A Greenhouse Accounting Framework for Beef and Sheep/2020/Ekonomou A.
Agricultural Commodities, Australia, 2018-2022/2023/ABS
Assessing beef carcass tissue weights\2010\Navajas et al.
Beef Cattle Gross Margin Budget/2023/NSW DPI /2023
Efficiency of absorbed protein/2018/Mariz, L.D.S. et al
Farm Gross Margin 2015/2015/Rural Solutions SA PIRSA
Land use of Australia 2010-11 to 2020-21/2024/ABARES
Protein content of liveweight/2022/Honig, A.C. et al
Representative Herds Templates for Northern Australia V1.00/2011/Holmes et al.
The heat of combustion values of the protein and fat in pigs\1972\Sharma et al.

Product outputs

Flow AmountUnitComment
Cattle, manufacturing beef, live weight, Burke , biogenic C not balanced {AU-QLD}| AusLCI, U 57676.008 kg (2,1,1,1,1,na) Uncertainty 1.07. Quantity of Culled cattle sold (kg live weight) e.g. mature bulls and cows. Carbon content, fossil: 0.0 kg C/kg dry mass. Carbon content, non-fossil: 0.51 kg C/kg dry mass. Dry mass: 0.32 kg/kg wet mass. Wet mass: 1 kg/kg wet mass.
Cattle, prime beef, live weight, Burke {AU-QLD}| AusLCI, U 159635.121 kg (2,1,1,1,1,na) Uncertainty 1.07. Quantity of Prime Cattle sold as Steers or Heifers (kg live weight). Carbon content, fossil: 0.0 kg C/kg dry mass. Carbon content, non-fossil: 0.51 kg C/kg dry mass. Dry mass: 0.32 kg/kg wet mass. Wet mass: 1 kg/kg wet mass.

Technical inputs

Flow AmountUnitComment
Carbon correction factor {AU}| | AusLCI, U 1907.8100184854047 kg (2,3,1,1,1,na) - Biogenic carbon correction for prime cattle. Note other products are not balanced for biogenic carbon in this process, but are balanced in a subsequent linked process. All other flows other than biogenic carbon are allocated correction from this inventory.
Cattle, internal parasite control {AU}| | AusLCI, U 3338.612 Item(s) (2,1,1,1,1,na) 1.07 Uncertainty. Internal parasite treatments for the herd.
Cattle, prime beef, live weight, Burke {AU-QLD}| AusLCI, U 5879.9 kg (2,1,1,1,1,na) 1.07 Uncertainty. Total liveweight of replacement bulls purchased each year (kg)
Cereal hay {AU}| market for cereal hay | AusLCI, U 14057.4 kg (2,1,1,1,1,na) Uncertainty 1.07. Total hay for herd from matching geographical region/state.
Chemical, organic {GLO}| market for chemical, organic | Cut-off, U 3338.612 g (2,1,1,1,1,na) 1.07 Uncertainty. Vaccine administered for clostridial and reproductive diseases (ml).
Coconut, dehusked {GLO}| market for coconut, dehusked | Cut-off, U 0.0 kg (2,1,1,1,1,na) Uncertainty 1.07. Coconut used as proxy for copra.
Cottonseed meal, at oil mill {AU}| | AusLCI, U 0.0 kg (2,1,1,1,1,na) Uncertainty 1.07. Total cottonseed meal for herd from matching geographical region/state.
Cottonseed meal, at oil mill {AU}| | AusLCI, U 0.0 kg (2,1,1,1,1,na) Uncertainty 1.07. Total protein pellets 20% CP for herd.
Dry season mix, 30% urea, 5.5% P, at production {AU}| | AusLCI, U 39826.088 kg (2,1,1,1,1,na) Uncertainty 1.07. Total dry season mineral supplement for herd.
Electricity, low voltage {AU-NT}| market for electricity, low voltage | AusLCI, U 2112.8013779999997 kWh (1,1,1,1,1,na) Electricity calculated from economic data reported in farm survey data from ABARES for 2018-2022 (https://www.agriculture.gov.au/abares/data/farm-data-portal).
Fertilizing, broadacre crop, pre & post-emergence, conventional {AU}| | AusLCI, U 28748.299 ha (2,1,1,1,1,na) 1.5 Uncertainty. Application of fertiliser to pasture.
Forage sorghum, irrigated, Darling Downs QLD {AU}| | AusLCI, U 0.0 kg (2,1,1,1,1,na) Uncertainty 1.07. Total hay for herd from matching geographical region/state.
Molasses, C-grade, at mill gate, {AU-QLD}| sugarcane milling | AusLCI, U 0.0 kg (2,1,1,1,1,na) Uncertainty 1.07. Total hay for herd from matching geographical region/state.
Oat grain {AU}| market for oat grain | AusLCI, U 0.0 kg (2,1,1,1,1,na) Uncertainty 1.07. Total area oats grazed by herd from matching geographical region/state.
Polyurethane, flexible foam {GLO}| market for | Cut-off, U 16735.0 g (2,1,1,1,1,na) 1.07 Uncertainty. Total weight of ID tags for flock.
Single superphosphate {AU}| market for single superphosphate | AusLCI, U 0.0 kg (2,1,1,1,1,na) Uncertainty 1.07. Single superphosphate for pasture improvement.
Tractor engine operation, on farm, per litre of diesel consumed {AU}| | AusLCI, U 646.939182 l (1,1,1,1,1,na) 1.05 Uncertainty. Fuel calculated from economic data reported in farm survey data from ABARES for 2018-2022 (https://www.agriculture.gov.au/abares/data/farm-data-portal).
Transport, truck, 28t, fleet average {AU}| | AusLCI, U 17499.203873864004 t*km (3,1,1,1,1,na) 2.1 Uncertainty. Total transport for inputs to the system in tkm. All assumed to be transported by articulated trucks.
Transport, truck, 60t load {AU}| | AusLCI, U 646.7889999999999 t*km (2,1,1,1,1,na) 2 Uncertainty. Livestock transport for purchased bulls.
Wet season mix, 0% N 21% P, at production {AU}| | AusLCI, U 0.0 kg (2,1,1,1,1,na) Uncertainty 1.07. Total wet season mineral supplement without N for herd.

Elementary flow inputs

Flow Sub-compartment AmountUnitComment
Carbon dioxide unspecified 419779.3308998337 kg Nett additinal biogenic carbon absorbed by pasture and transferred to liveweight of the aminal after accounting for external biogenic carbon inputs such as feed.
Occupation, grassland, natural, for livestock grazing land 28748.299 ha*a (2,1,1,1,1,na) Uncertainty 1.5. Intersection of livestock region (based on SA2 units) and 2021 Land Use Map (Australian Bureau of Agricultural and Resource Economics and Sciences 2024) for natural and sown pastures combined with Agricultural Commodities, Australia (2018-2022) for livestock numbers.
Transformation, from grassland, natural, for livestock grazing land 28748.299 ha No net land transformation assumed. Any net land transformations due to direct land use change (dLUC) to be added when more clarity regarding LUC estimation method, and consistent with carbon fluxes from dLUC
Transformation, to grassland, natural, for livestock grazing land 28748.299 ha No net land transformation assumed. Any net land transformations due to direct land use change (dLUC) to be added when more clarity regarding LUC estimation method, and consistent with carbon fluxes from dLUC
Water, unspecified natural origin, Gulf of Carpentaria, NT and QLD, AU — 31517048.13 l (2,1,1,1,1,na) Total water use is calculated from cattle drinking water requirements taking account water content of feed and mean ambient temperature occuring in Gulf of Carpentaria, NT and QLD, AU catchment.
Water, unspecified natural origin, Gulf of Carpentaria, NT and QLD, AU — 344.979588 ML (2,1,1,1,1,na) Evaporative water loss from farm dam occuring in Gulf of Carpentaria, NT and QLD, AU catchment.

Elementary flow outputs

Flow CompartmentSub-compartment AmountUnitComment
Ammonia Emission to airunspecified 7091.124727272727 kg (2,1,1,1,1,na) Uncertainty 1.4. NH3 emission
Area grazed Non material emissions— 28748.299 ha —
Carbon dioxide, from soil or biomass stock Emission to airlow population density 0.0 kg This flow intentionally set to zero. Carbon fluxes from direct land use change (dLUC) to be added when more clarity regarding LUC estimation method
Dinitrogen monoxide Emission to airunspecified 351.412 kg (2,1,1,1,1,na) Uncertainty 1.4. N2O Dung and Urine
Dinitrogen monoxide Emission to airunspecified 36.898 kg (2,1,1,1,1,na) Uncertainty 1.4. N2O atmospheric deposition
Dinitrogen monoxide Emission to airlow population density 0.0 kg (1,3,2,1,1,na) - 1.4 Uncertainty.Nitrous oxide production from mineralisation due to loss of soil carbon, NIR 2022 Source: NIR 2023 (DCCEEW, 2025).
Dinitrogen monoxide Emission to airunspecified 121.925 kg (2,1,1,1,1,na) Uncertainty 1.4. N2O leaching and runoff
Enteric methane Non material emissions— 103487.088 kg —
Evaporative water loss Non material emissions— 344979.588 m3 —
Livestock N2O all sources Non material emissions— 473337036.898 kg —
Methane, non-fossil Emission to airunspecified 229.986392 kg (2,1,1,1,1,na) Uncertainty 1.21. Farm dam Methane
Methane, non-fossil Emission to airunspecified 6876.108 kg (2,1,1,1,1,na) Uncertainty 1.21. Manure Methane
Methane, non-fossil Emission to airunspecified 103487.088 kg (2,1,1,1,1,na) Uncertainty 1.21. Enteric Methane
Nitrogen Emission to waterground water 6975.926335 kg (2,1,1,1,1,na) Uncertainty 1.5. N leached from Dung and Urine
Water intake of livestock Non material emissions— 31517.04813 m3 —
hydrogen ions Emissions to soil— 64.523516916 kg (2,1,1,1,1,na) 1.07 Uncertainty. Net change in H ions due to imports (feriliser, feeds) to and exports (cattle liveweight) from the farm

Parameters

NameValueFormulaDescription
DM_Livecattle 0.319 — (2,3,3,1,1,na) - Dry matter fraction of cattle
P_CulledBreeders 2.655 — (1,1,1,1,1,na) Average price for National Processor Cow Indicator ($/kg live weight sold) from MLA https://www.mla.com/prices-markets/statistics/ for 5 year period 2019 - 2024.
BioC_inputs 5962.9520621 Hay*DM_hay*CC_Hay+Copra*DM_Copra*CC_Copra+Molasses*DM_Molasses*CC_Molasses+Cottonseed*DM_Cottonseed*CC_Cottonseed+Protein_Pellets*DM_Protein_Pellets*CC_Protein_Pellets+PUR_Bulls*DM_Livecattle*CC_Livecattle kg biogenic carbon inputs from feeds
NAAR_Cattle 73.88578386 producttotal*af_cattle/1000 (2,1,1,1,1,na) 1.07 Uncertainty. Change in soil acidity (H ion eq/t) from export of cattle product
oat_yield 100.0 — (1,1,1,1,1,na) Yield of grazing oats
DM_Dry_mix 0.9 — (2,3,3,1,1,na) - Dry matter fraction of dry season mix
DU_N2O 351.412 — (2,1,1,1,1,na) kg N2O from dung and urine. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
KG_Weaners — — (2,1,1,1,1,na) Quantity of Weaners sold (kg live weight) - both sexes < 1 year old, calculated using herd structure from Breedcow Beef CRC templates (Holmes et al. 2011), Gross Margin publications ( New South Wales Department of Primary Industries 2023; Ag Excellence Alliance 2024).
NAAR_Inputs -9.362266944 (Dry_mix*AF_Dry_mix+Wet_mix*AF_Wet_mix+Hay*AF_Hay+Copra*AF_Copra+Molasses*AF_Molasses+Cottonseed*AF_Cottonseed+Protein_Pellets*AF_Protein_Pellets)/1000 (2,1,1,1,1,na) 1.07 Uncertainty. Net change in soil acidity (H ion eq) from imported products (feeds, fertilizer)
EFN_mineral 0.004 — (1,3,2,1,1,na) - [kgN2O-N/kgN] emission factor for N emissions from mineralisations - NIR 2023 (DCCEEW, 2025).
KM_fuel 300.0 — (3,1,1,1,1,na) Estimate of transport distance for fuel to farm (km)
P_PrimeCattle 3.512 — (1,1,1,1,1,na) Average price for Young Cattle Indicator (Eastern and Western) and National Feeder Steer ($/kg live weight sold) from MLA https://www.mla.com/prices-markets/statistics/ for 5 year period 2019 - 2024.
DAM_CH4 229.986392 DAM_CH4_ha*HA_GRAZING (2,1,1,1,1,na) 1.07 Uncertainty. Total methane emissions form darm dams (kg) (excluding manure fraction which is counted elsewhere)
N_Mineralised — Soil_C_loss*soil_NC_frac [Kg N] The amount of N released from SOC mineralisation - Calculated
All_Weaners_Mass — kg_Weaners/ProductTotal*100 (2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Weaner cattle (%)
PR_fert 1.0 — (1,1,1,1,1,na) - Proportion of grazed area fertilsed with single superphosphate
DLUC_switch — — By default the switch is set to 0 to not include direct land use change. To include the value for direct land use change set the switch to 1. Direct land use change calculation approach is still uncertain
TotN_LeachGW 7053.515 — (2,1,1,1,1,na) total N leached to ground water (kg). Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
BioC_Products 37503.337331691 Producttotal*DM_Livecattle*CC_Livecattle kg biogenic carbon in outputs of all products in the inventory before applying allocation
All_CulledBreeders_En 26.54075208453774 En_CulledBreeders/Tot_En*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to CulledBreeders based on energy content (%)
BioC_CurrentAll_Weaners — (BioC_Products+BioC_all_Corr_Primecattle)*All_Weaners/100 Due to the allocation approach this is how much biogenic CO2 is being directed to the weaner product. in kg C. This is likely not the correct amount.
Cows 999.906 — (2,1,1,1,1,na) Number of cows and heifers mated using herd structure from from Breedcow Beef CRC templates (Holmes et al. 2011) and farm gross margins (New South Wales Department of Primary Industries 2023; Ag Excellence Alliance 2024).
All_PrimeCattle_Mass 73.45924791546226 kg_PrimeCattle/ProductTotal*100 (2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Prime cattle (%)
CC_Dry_mix — — (2,3,1,1,1,na) Carbon content 0.0 of dry season mix
Evap_water_loss 0.012 — (1,1,1,1,1,na) Evaporative water loss from farm dams (ML/ha/year). Dam density described by NIR 2023 (DCCEEW 2025) with evaporation rate from Bureau of Metorology 1990-2020.
All_Weaners — iff(Allocation=1;All_Weaners_Eco;iff(Allocation=2; All_Weaners_EN; iff(Allocation =3; All_Weaners_Mass; All_Pro_Weaners))) (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to weaners. (%)
Dry_mix 39826.088 — (2,1,1,1,1,na) Total dry season lick (kg)
F_Gulf_of_Carpentaria_NT_and_QLD 1.0 — Fraction of Gulf of Carpentaria, NT and QLD, AU catchment in livestock region.
EN_CulledBreeders 178795624.8 En_lwt*1000*KG_CulledBreeders (2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of VulledBreeders.
ATMOS_N2O 36.898 — (2,1,1,1,1,na) kg N2O from N deposited from atmosphere. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
BioC_all__corr_CulledBreeders 1498.5139625690153 BioC_Actual_CulledBreeders-BioC_CurrentAll_CulledBreeders This is the correction to the biogenic carbon required to balance the biogenic carbon for culled breeders in kg C.
Water 31517048.13 — (2,1,1,1,1,na) Total drinking water intake (L/year)
LEACH_N2O 121.925 — (2,1,1,1,1,na) kg N2O from leached N. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025) Frac_WET estimated independently for each livestock region.
Fuel 0.647 — (1,1,1,1,1,na) Fuel (L diesel/Cow mated) calculated from economic data reported in farm survey data from ABARES for 2018-2022 (https://www.agriculture.gov.au/abares/data/farm-data-portal).
Allocation 1.0 — Allocation switch, 1 = Economic alocation (default for AusLCI), 2 = Energy allocation, 3 = Mass allocation, 4 = Protein Allocation.
KG_CulledBreeders 57676.008 — (2,1,1,1,1,na) Quantity of Culled cattle sold (kg live weight) e.g. mature bulls, cows and spay cows >3 years old, calculated using herd structure from Breedcow Beef CRC templates (Holmes et al. 2011), Gross Margin publications ( New South Wales Department of Primary Industries 2023; Ag Excellence Alliance 2024).
Tot_En 673664499.9000001 En_CulledBreeders+En_PrimeCattle+En_Weaners (2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of co-products.
BioC_Actual_CulledBreeders 9953.667784632002 kg_Culledbreeders*DM_Livecattle*CC_Livecattle The actual amount of biogenic carbon which should be allocated culled breeders in kg C.
CC_Protein_Pellets 0.405 — (2,3,1,1,1,na) Carbon content of 0.5 as DM
Evap_water_loss_T 344.979588 Evap_water_loss*HA_GRAZING (1,1,1,1,1,na) 1.05 Uncertainty. Total evaporative water loss from farm dams (ML/year)
DM_Molasses 0.825 — (2,3,3,1,1,na) - Dry matter fraction of molasses
KM_Lick 400.0 — (3,1,1,1,1,na) Estimate of transport distance for dry and wet season lick (km)
Oats_graz — — (2,1,1,1,1,na) Total area of forage oats grazed (ha)
Tot_P_fert — P_fert*HA_Grazing*PR_fert (2,1,1,1,1,na) 1.07 Uncertainty. Total fertiliser applied as single superphosphate (kg)
CC_Copra 0.45 — (2,3,1,1,1,na) Carbon content of 0.5 as DM
Anthelmintics 3338.612 (Cows*IntParasites_cows)+(Calves_weaned*IntParasites_weaners) (2,1,1,1,1,na) 1.07 Uncertainty. Number of doses of anthelmintic adimistered for internal parasites
Soil_C_Change_Switch — — By default the switch is set to 0 to not soil carbon change. To include the value for soil carbon change set the switch to 1. The results still contain significant uncertainty and should be used with extreme care. -
Cottonseed — — (2,1,1,1,1,na) Total cottonseed fed (kg)
All_Pro_Weaners — Pro_Weaners/Pro_Total*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Weaners based on protein requirement (%)
KM_fert 200.0 — (3,1,1,1,1,na) Estimate of transport distance for fertiliser to farm (km)
DM_Protein_Pellets 0.9 — (2,3,3,1,1,na) - Dry matter fraction of protein pellets
DM_Hay 0.88 — (2,3,3,1,1,na) - Dry matter fraction of hay
IntParasites_weaners 2.0 — (2,1,1,1,1,na) -Number of internal parasite treatments for weaners (New South Wales Department of Primary Industries 2023; Ag Excellence Alliance 2024).
CC_livecattle 0.541 — (2,3,1,1,1,na) Carbon content 0.541 of animal as DM. (Average carbon content of 0.175 C/kg liveweight assuming dressing of 63%, carcase composition of 70% meat, 20% fat and 10% bone; dry matter content of 15% by-product (blood, rumen, heads and hooves), 25% meat, 85% fat and 74% bone; and carbon content of 53% by-product, 53% meat, 76% fat and 7.5% bone.)
Molasses — — (2,1,1,1,1,na) Total molasses fed (kg)
Cattle 1764.966 — (2,1,1,1,1,na) Total number of cattle (Adult Equivalents) carried for the year using herd structure from from Breedcow Beef CRC templates (Holmes et al. 2011) and farm gross margins (New South Wales Department of Primary Industries 2023; Ag Excellence Alliance 2024).
All_Pro_CulledBreeders 26.54075208453774 Pro_CulledBreeders/Pro_Total*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Culled Breeders based on protein requirement (%)
KM_Protein_pellets 600.0 — (3,1,1,1,1,na) Estimate of transport distance for protein_pellets (km)
All_Weaners_Eco — (KG_Weaners*P_Weaners)/(P_PrimeCattle*KG_PrimeCattle+P_CulledBreeders*KG_CulledBreeders+KG_Weaners*P_weaners)*100 (2,1,1,1,1,na) 1.07 Uncertainty. Economic allocation fraction for Weaned cattle - default for AusLCI (%)
All_CulledBreeders_Eco 21.453711425696774 (KG_CulledBreeders*P_CulledBreeders)/(P_PrimeCattle*KG_PrimeCattle+P_CulledBreeders*KG_CulledBreeders+KG_Weaners*P_weaners)*100 (2,1,1,1,1,na) 1.07 Uncertainty. Economic allocation fraction for Culled cattle (%) - default for AusLCI
KM_Cottonseed 400.0 — (3,1,1,1,1,na) Estimate of transport distance for cottonseed (km)
BioC_Pasture_nett 114485.27206359101 BioC_Products+BioC_as_CH4_emissions-BioC_inputs kg biogenic carbon added to cattle by pasture after accounting incoming feed, respiration, losses as methane and other losses from system.
ENT_CH4 103487.088 — (2,1,1,1,1,na) kg Methane from enteric fermentation. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
PUR_Bulls_NO 9.046 — (2,1,1,1,1,na) Number of replacement bulls purchased per year. Breedcow Beef CRC templates (Holmes et al. 2011) and Gross Margin publications (New South Wales Department of Primary Industries 2023; Ag Excellence Alliance 2024).
IntParasites_cows 2.0 — (2,1,1,1,1,na) -Number of internal parasite treatments for cows (New South Wales Department of Primary Industries 2023; Ag Excellence Alliance 2024).
Elec_use 2112.8013779999997 Elec*Cows (1,1,1,1,1,na) 1.05 Uncertainty. Whole farm electricity use (kWh)
All_PrimeCattle_Eco 78.54628857430323 (P_PrimeCattle*KG_PrimeCattle)/(P_PrimeCattle*KG_PrimeCattle+P_CulledBreeders*KG_CulledBreeders+KG_Weaners*P_weaners)*100 (2,1,1,1,1,na) 1.07 Uncertainty. Economic allocation fraction for Prime cattle - default for AusLCI (%)
Pro_CulledBreeders 4614.08064 KG_CulledBreeders*PC_Lwt*EFF_P_Lwt (2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirement to produce Culled Breeders (kg)
TRANS_cattle 646.7889999999999 PUR_Bulls/1000*KM_Cattle (2,1,1,1,1,na) 2 Uncertainty. Livestock transport for purchased cattle (t.km).
DAM_CH4_HA 0.008 — (2,1,1,1,1,na) Methane emissions form farm dams (kg CH4 ha/yr), calcuted using the temperature based approach descibed by NIR 2023 (DCCEEW 2025). Dam density described by NIR 2023 (DCCEEW 2025).
AF_Protein_Pellets — — (2,2,2,2,1,na) - Acid factor for protein pellets (kMol/kg) based on (Baldock et al. 2009).
All_Weaners_En — En_Weaners/Tot_En*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Weaners based on energy content (%)
CC_Cottonseed 0.45 — (2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
BioC_all_Corr_Primecattle 1907.8100184854047 BioC_CurrentAll_PrimeCattle-BioC_Actual_Primecattle This is the correction to the biogenic carbon required to balance the biogenic carbon for prime cattle in kg C.
DeterminingProd 159635.121 KG_PrimeCattle (2,1,1,1,1,na) 1.07 Uncertainty. Determining product will change with production system: = KG_Weaners when KG_Weaners > KG_PrimeCattle, otherwise KG_PrimeCattle.
KM_Hay 100.0 — (3,1,1,1,1,na) Estimate of transport distance for hay (km)
DM_Wet_mix 0.9 — (2,3,3,1,1,na) - Dry matter fraction of wet season mix
DM_Cottonseed 0.9 — (2,3,3,1,1,na) - Dry matter fraction of cottonseed
BiogenicCO2 — Soil_C_loss*3.667*HA_GRAZING*0 (2,1,1,1,1,na) 1.5 Uncertainty. Total SOC change in units of CO2-eq
Copra — — (2,1,1,1,1,na) Total copra meal fed (kg)
HA_GRAZING 28748.299 — (2,1,1,1,1,na) Hectares grazing land by Livestock Region based on based on SA2 Level data from Agricultural Commodities data for five years from 2017/18-2021/22 (Australian Bureau of Statistics 2023) and Land Use of Australia (ABARES 2025).
KM_Cattle 110.0 — (1,1,1,1,1,na) Estimate of transport distance for purchased bulls (km). See Durr et al. 2010 at https://www.researchgate.net/publication/287990558_GIS_mapping_of_cattle_market_service_areas_using_the_National_Livestock_Identification_System_NLIS_-_Final_report
Calves_weaned 669.4 — (2,1,1,1,1,na) Number of calves weaned using herd structure from from Breedcow Beef CRC templates (Holmes et al. 2011) and farm gross margins (New South Wales Department of Primary Industries 2023; Ag Excellence Alliance 2024).
CC_Molasses 0.347 — (2,3,1,1,1,na) Carbon content of 0.42 as DM
All_CulledBreeders_Mass 26.54075208453774 kg_CulledBreeders/ProductTotal*100 (2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Culled cattle (%)
AF_Cottonseed — — (2,2,2,2,1,na) - Acid factor for cottonseed (kMol/kg) based on (Baldock et al. 2009).
N_LeachGW 6975.926335 TotN_LeachGW-(TotN_LeachGW*EFN_Leach) (2,1,1,1,1,na) 1.4 Uncertainty. N leached to ground water adjusted for N loss from N2O (kg).
MAN_CH4 6876.108 — (2,1,1,1,1,na) kg Methane from manure. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
PUR_Bulls 5879.9 PUR_Bulls_WT*PUR_Bulls_NO (2,1,1,1,1,na) 1.07 Uncertainty. Total liveweight of replacement bulls purchased each year (kg)
ID_tags 16735.0 Calves_weaned*ID_tag (2,1,1,1,1,na) 1.07 Uncertainty. Weight of ID tags total (g)
KM_Molasses 400.0 — (3,1,1,1,1,na) Estimate of transport distance for molasses (km)
Pro_Total 17384.890320000002 Pro_CulledBreeders+Pro_PrimeCattle+Pro_Weaners (2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirment for all coproducts leaving the farm (kg)
BioC_as_CH4_emissions 82944.886794 (Ent_CH4+Man_CH4+Dam_Ch4)*12/16 kg biogenic carbon emitted as methane from various sources.
BioC_all__corr_Weaners — BioC_Actual_Weaners-BioC_CurrentAll_Weaners This is the correction to the biogenic carbon required to balance the biogenic carbon for weaners in kg C.
AF_Copra — — (2,2,2,2,1,na) - Acid factor for copra (kMol/kg) based on web search unspecifed sources.
P_fert — — (2,1,1,1,1,na) Fertiliser applied as single superphosphate 8.8% P (kg/ha/year). Breedcow Beef CRC templates (Holmes et al. 2011), Gross Margin publications ( New South Wales Department of Primary Industries 2023; Ag Excellence Alliance 2024).
All_PrimeCattle_En 73.45924791546226 En_PrimeCattle/Tot_En*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to PrimeCattle based on energy content (%)
EFN_Leach 0.011 — (2,1,1,1,1,na) Emissions factor for proportion of N leached released as N2O.
EN_Weaners — EN_lwt*1000*KG_Weaners (2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of Weaners.
All_Pro_PrimeCattle 73.45924791546227 Pro_PrimeCattle/Pro_Total*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Prime Cattle based on protein requirement (%)
P_Weaners 3.74 — (1,1,1,1,1,na) Average price for Restocker Yearlings (Heifers and Steers) ($/kg live weight sold) from MLA https://www.mla.com/prices-markets/statistics/ for 5 year period 2019 - 2024.
Sorghum_graz — — (2,1,1,1,1,na) Total area of forage sorghum grazed (ha)
Fuel_use 646.939182 Fuel*Cows (1,1,1,1,1,na) 1.05 Uncertainty. Whole farm fuel use (L)
BioC_Actual_Weaners — kg_Weaners*DM_Livecattle*CC_Livecattle The actual amount of biogenic carbon which should be allocated weaners in kg C.
Hay 14057.4 — (2,1,1,1,1,na) Total hay fed (kg)
AF_Hay -0.7 — (2,2,2,2,1,na) - Acid factor for hay (kMol/kg) based on (Slatery et al.).
ProductTotal 217311.12900000002 KG_PrimeCattle+KG_CulledBreeders+kg_Weaners (2,1,1,1,1,na) 1.07 Uncertainty. Total production of cattle from this process (kg live weight)
BioC_CurrentAll_PrimeCattle 29457.479565544407 BioC_Products*All_PrimeCattle/100 Due to the allocation approach this is how much biogenic CO2 is being directed to the prime cattle product. in kg C. This is likely not the correct amount.
Wet_mix — — (2,1,1,1,1,na) Total wet season lick (kg)
ID_tagbad 25.0 — (2,1,1,1,1,na) Was listed as Total drinking water intake (L/year)
PUR_Bulls_WT 650.0 — (2,1,1,1,1,na) Liveweight (kg) of replacement bulls purchased each year. Breedcow Beef CRC templates (Holmes et al. 2011) and Gross Margin publications ( New South Wales Department of Primary Industries 2023; Ag Excellence Alliance 2024).
ID_tag 25.0 — (2,1,1,1,1,na) Weight of plastic ID tag individual (g)
AF_Wet_mix — — (2,2,2,2,1,na) - Acid factor for urea (kMol/kg) assuming 30% urea in wet season mix, based on (Baldock et al. 2009).
TotalTkmRoad 17499.203873864004 (Dry_mix*KM_Lick+Wet_mix*KM_LICK+Hay*KM_Hay+Copra*KM_Copra+Molasses*KM_Molasses+Cottonseed*KM_Cottonseed+Protein_Pellets*KM_Protein_Pellets+Tot_P_fert*KM_fert+Fuel_use*0.84*KM_fuel)/1000 (3,1,1,1,1,na) 2.1 Uncertainty. Total transport for inputs to the system in tkm. All assumed to be transported by articulated trucks.
Pro_Weaners — KG_Weaners*PC_Lwt*EFF_P_Lwt (2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirement to produce Weaners (kg)
All_PrimeCattle 78.54628857430323 iff(Allocation=1;All_PrimeCattle_Eco;iff(Allocation=2; All_PrimeCattle_EN; iff(Allocation =3; All_PrimeCattle_Mass; All_Pro_PrimeCattle))) (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to prime cattle. (%)
Elec 2.113 — (1,1,1,1,1,na) Electricity (kWh/Cow mated) calculated from economic data reported in farm survey data from ABARES for 2018-2022 (https://www.agriculture.gov.au/abares/data/farm-data-portal).
CC_Wet_mix — — (2,3,1,1,1,na) Carbon content 0.0 of wet season mix
DM_Copra 0.9 — (2,3,3,1,1,na) - Dry matter fraction of copra
BioC_CurrentAll_CulledBreeders 8455.153822062986 (BioC_Products+BioC_all_Corr_Primecattle)*All_Culledbreeders/100 Due to the allocation approach this is how much biogenic CO2 is being directed to the culled breeders product. in kg C. This is likely not the correct amount.
CC_Hay 0.4 — (2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
AF_Molasses — — (2,2,2,2,1,na) - Acid factor for molasses (kMol/kg) based on (Baldock et al. 2009).
AF_Cattle 0.34 — (2,2,2,2,1,na) - Acid factor for red meat (kMol/kg) based on (Slattery et al.).
KM_Copra 600.0 — (3,1,1,1,1,na) Estimate of transport distance for copra (km)
Protein_Pellets — — (2,1,1,1,1,na) Total protein pellets 20% CP fed (kg)
Soil_C_loss — — (2,1,1,1,1,na) Change in Soil Orgnic Carbon t C/ha/year in 0-30cm layer
Vaccine 3338.612 (Cows+Calves_weaned)*Vaccine_vol (2,1,1,1,1,na) 1.07 Uncertainty. Vaccine administered for clostridial and reproductive diseases (ml).
Pro_PrimeCattle 12770.809680000002 KG_PrimeCattle*PC_Lwt*EFF_P_Lwt (2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirement to produce PrimeCattle (kg)
PC_Lwt 0.2 — (1,1,2,1,2,na) - Protein content of liveweight. Honig, A.C. et al. 2022 Meat Science 184 doi: 10.1016/j.meatsci.2021.108685
BioC_Actual_Primecattle 27549.669547059002 kg_Primecattle*DM_Livecattle*CC_Livecattle The actual amount of biogenic carbon which should be allocated Prime cattle in kg C.
EN_PrimeCattle 494868875.1 EN_lwt*1000*KG_PrimeCattle (2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of PrimeCattle.
KG_PrimeCattle 159635.121 — (2,1,1,1,1,na) Quantity of Prime cattle sold (kg live weight) e.g. steers/bullocks, heifers (2 and 3 year old), calculated using herd structure from Breedcow Beef CRC templates (Holmes et al. 2011), Gross Margin publications ( New South Wales Department of Primary Industries 2023; Ag Excellence Alliance 2024).
DMI 4999376.233 — (2,1,1,1,1,na) kg Dry matter intake. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
DLUC_value — — [tCO2eq/ha/year] Annual direct CO2 emissions from land use change. This flow intentionally set to zero. Carbon fluxes from direct land use change (dLUC) to be added when more clarity regarding LUC estimation method
EN_lwt 3.1 — (1,1,2,1,2,na) - Calorific value (kcal/g) of live cattle at 54% dressing %. Sharma et al. 1972 and Navaja et al. 2010.
All_CulledBreeders 21.453711425696774 iff(Allocation=1;All_CulledBreeders_Eco;iff(Allocation=2; All_Culledbreeders_EN; iff(Allocation =3; All_Culledbreeders_Mass; All_Pro_Culledbreeders))) (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to culled breeders. (%)
AF_Dry_mix 0.012 — (2,2,2,2,1,na) - Acid factor for urea (kMol/kg) assuming 30% urea in dry season mix, based on (Baldock et al. 2009).
Vaccine_vol 2.0 — (2,1,1,1,1,na) Volume of individual vaccine (ml)
EFF_P_Lwt 0.4 — (1,1,2,1,2,na) - Efficiency of use of absorbed protein partitioned to liveweight. Mariz, L.D.S. 2018 J. Anim Sci 96: 670-683 doi: 10.1093/jas/sky018
soil_NC_frac 0.09090909090909091 1/(10+1) Fraction of N to C in soil, based on a CN ratio of 1:10 - NIR 2023 (DCCEEW, 2025).