AusLCI — Australian Life Cycle Inventory Database
Home / Material / Cattle, prime beef, live weight, Monaro {AU-NSW}| feeder steers | AusLCI, U

Cattle, prime beef, live weight, Monaro {AU-NSW}| feeder steers | AusLCI, U

Unit process v00.00.000

This dataset represents the production of cattle for beef. The reference flow is 100 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: 20916.111 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: Monaro, New South Wales, 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

Sector
Material
Contributor
—
Last updated
26 Aug 2024
Reference ID
fa296e95-c8d4-3cb4-b993-fa6ea48ce199

Download this dataset Ask a question about this dataset

Downloads require a free account. You'll be asked to register or sign in.

Documentation

Quantitative reference
Cattle, prime beef, live weight, Monaro {AU-NSW}| feeder steers | 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, Monaro , biogenic C not balanced {AU-NSW}| feeder steers | AusLCI, U 7863.634 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, Monaro {AU-NSW}| feeder steers | AusLCI, U 20916.111 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.
Weaned cattle, live weight, Monaro , biogenic C not balanced {AU-NSW}| feeder steers | AusLCI, U 4545.201 kg (2,1,1,1,1,na) Uncertainty 1.07. Quantity of Weaner Cattle sold (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 310.29284867115666 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 372.034 Item(s) (2,1,1,1,1,na) 1.07 Uncertainty. Internal parasite treatments for the herd.
Cattle, prime beef, live weight, Monaro {AU-NSW}| feeder steers | AusLCI, U 737.0999999999999 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 3010.267 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 372.034 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 2744.687 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 191.317217 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 280.462 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 2150.2 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 64.605814 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 1415.1821651280002 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 81.08099999999999 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 49095.473408058 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 280.462 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 280.462 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 280.462 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, Lachlan, NSW, AU — 171001.6845 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 Lachlan, NSW, AU catchment.
Water, unspecified natural origin, Lachlan, NSW, AU — 2.7345045 ML (2,1,1,1,1,na) Evaporative water loss from farm dam occuring in Lachlan, NSW, AU catchment.
Water, unspecified natural origin, Murray, NSW, VIC and SA, AU — 0.0 ML (2,1,1,1,1,na) Evaporative water loss from farm dam occuring in Murray, NSW, VIC and SA, AU catchment.
Water, unspecified natural origin, Murray, NSW, VIC and SA, AU — 0.0 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 Murray, NSW, VIC and SA, AU catchment.
Water, unspecified natural origin, Murrumbidgee, NSW, AU — 6.3987405299999995 ML (2,1,1,1,1,na) Evaporative water loss from farm dam occuring in Murrumbidgee, NSW, AU catchment.
Water, unspecified natural origin, Murrumbidgee, NSW, AU — 400143.94172999996 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 Murrumbidgee, NSW, AU catchment.
Water, unspecified natural origin, South East Coast, NSW, VIC and SA, AU — 508445.00858 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 South East Coast, NSW, VIC and SA, AU catchment.
Water, unspecified natural origin, South East Coast, NSW, VIC and SA, AU — 8.13059338 ML (2,1,1,1,1,na) Evaporative water loss from farm dam occuring in South East Coast, NSW, VIC and SA, AU catchment.

Elementary flow outputs

Flow CompartmentSub-compartment AmountUnitComment
Ammonia Emission to airunspecified 875.7725454545454 kg (2,1,1,1,1,na) Uncertainty 1.4. NH3 emission
Area grazed Non material emissions— 280.462 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 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 4.557 kg (2,1,1,1,1,na) Uncertainty 1.4. N2O atmospheric deposition
Dinitrogen monoxide Emission to airunspecified 16.196 kg (2,1,1,1,1,na) Uncertainty 1.4. N2O leaching and runoff
Dinitrogen monoxide Emission to airunspecified 43.396 kg (2,1,1,1,1,na) Uncertainty 1.4. N2O Dung and Urine
Enteric methane Non material emissions— 10968.102 kg —
Evaporative water loss Non material emissions— 18230.03 m3 —
Livestock N2O all sources Non material emissions— 59592004.557 kg —
Methane, non-fossil Emission to airunspecified 672.771 kg (2,1,1,1,1,na) Uncertainty 1.21. Manure Methane
Methane, non-fossil Emission to airunspecified 10968.102 kg (2,1,1,1,1,na) Uncertainty 1.21. Enteric Methane
Methane, non-fossil Emission to airunspecified 126.2079 kg (2,1,1,1,1,na) Uncertainty 1.21. Farm dam Methane
Nitrogen Emission to waterground water 926.637616 kg (2,1,1,1,1,na) Uncertainty 1.5. N leached from Dung and Urine
Water intake of livestock Non material emissions— 1140.01123 m3 —
hydrogen ions Emissions to soil— 9.256230984000002 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
P_CulledBreeders 2.76 — (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.
DMI 529860.019 — (2,1,1,1,1,na) kg Dry matter intake. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
All_PrimeCattle_En 62.76412570931098 En_PrimeCattle/Tot_En*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to PrimeCattle based on energy content (%)
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
AF_Hay -0.7 — (2,2,2,2,1,na) - Acid factor for hay (kMol/kg) based on (Slatery et al.).
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).
Fuel_use 64.605814 Fuel*Cows (1,1,1,1,1,na) 1.05 Uncertainty. Whole farm fuel use (L)
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).
DM_Hay 0.88 — (2,3,3,1,1,na) - Dry matter fraction of hay
KM_Molasses 400.0 — (3,1,1,1,1,na) Estimate of transport distance for molasses (km)
KG_CulledBreeders 7863.634 — (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).
Elec_use 191.317217 Elec*Cows (1,1,1,1,1,na) 1.05 Uncertainty. Whole farm electricity use (kWh)
PUR_Bulls_NO 0.819 — (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).
ProductTotal 33324.946 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)
All_Weaners_En 13.639034853949953 En_Weaners/Tot_En*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Weaners based on energy content (%)
All_CulledBreeders 17.85551653938017 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. (%)
CC_Cottonseed 0.45 — (2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
EN_PrimeCattle 64839944.1 EN_lwt*1000*KG_PrimeCattle (2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of PrimeCattle.
All_Weaners_Eco 13.985073083855607 (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 (%)
Evap_water_loss 0.065 — (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.
NAAR_Cattle 11.330481640000002 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
ATMOS_N2O 4.557 — (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)
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_PrimeCattle_Eco 68.15941037676423 (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 (%)
BioC_Actual_Weaners 784.4062433790001 kg_Weaners*DM_Livecattle*CC_Livecattle The actual amount of biogenic carbon which should be allocated weaners in kg C.
KM_fuel 300.0 — (3,1,1,1,1,na) Estimate of transport distance for fuel to farm (km)
Copra — — (2,1,1,1,1,na) Total copra meal fed (kg)
BioC_Actual_CulledBreeders 1357.098092086 kg_Culledbreeders*DM_Livecattle*CC_Livecattle The actual amount of biogenic carbon which should be allocated culled breeders in kg C.
N_LeachGW 926.637616 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).
Tot_En 103307332.6 En_CulledBreeders+En_PrimeCattle+En_Weaners (2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of co-products.
BioC_as_CH4_emissions 8825.310675 (Ent_CH4+Man_CH4+Dam_Ch4)*12/16 kg biogenic carbon emitted as methane from various sources.
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
EFN_mineral 0.004 — (1,3,2,1,1,na) - [kgN2O-N/kgN] emission factor for N emissions from mineralisations - NIR 2023 (DCCEEW, 2025).
DM_Dry_mix 0.9 — (2,3,3,1,1,na) - Dry matter fraction of dry season mix
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
All_CulledBreeders_Eco 17.85551653938017 (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
Cattle 201.996 — (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).
Cows 100.009 — (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).
F_Lachlan_NSW 0.15 — Fraction of Lachlan, NSW, AU catchment in livestock region.
KM_Lick 400.0 — (3,1,1,1,1,na) Estimate of transport distance for dry and wet season lick (km)
EN_CulledBreeders 24377265.4 En_lwt*1000*KG_CulledBreeders (2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of VulledBreeders.
Cottonseed — — (2,1,1,1,1,na) Total cottonseed fed (kg)
KM_Copra 600.0 — (3,1,1,1,1,na) Estimate of transport distance for copra (km)
PUR_Bulls_WT 900.0 — (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).
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).
Sorghum_graz — — (2,1,1,1,1,na) Total area of forage sorghum grazed (ha)
LEACH_N2O 16.196 — (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.
Wet_mix — — (2,1,1,1,1,na) Total wet season lick (kg)
All_Pro_CulledBreeders 23.596839436739078 Pro_CulledBreeders/Pro_Total*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Culled Breeders based on protein requirement (%)
Allocation 1.0 — Allocation switch, 1 = Economic alocation (default for AusLCI), 2 = Energy allocation, 3 = Mass allocation, 4 = Protein Allocation.
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)
DAM_CH4 126.2079 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)
CC_Protein_Pellets 0.405 — (2,3,1,1,1,na) Carbon content of 0.5 as DM
BioC_CurrentAll_Weaners 847.7022267734053 (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.
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.)
CC_Molasses 0.347 — (2,3,1,1,1,na) Carbon content of 0.42 as DM
TotalTkmRoad 1415.1821651280002 (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.
Protein_Pellets — — (2,1,1,1,1,na) Total protein pellets 20% CP fed (kg)
Molasses — — (2,1,1,1,1,na) Total molasses fed (kg)
Calves_weaned 86.008 — (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_Dry_mix — — (2,3,1,1,1,na) Carbon content 0.0 of dry season mix
ID_tagbad 25.0 — (2,1,1,1,1,na) Was listed as Total drinking water intake (L/year)
PUR_Bulls 737.0999999999999 PUR_Bulls_WT*PUR_Bulls_NO (2,1,1,1,1,na) 1.07 Uncertainty. Total liveweight of replacement bulls purchased each year (kg)
BioC_all__corr_CulledBreeders 274.78975948993025 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.
TotN_LeachGW 936.944 — (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)
All_PrimeCattle 68.15941037676423 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. (%)
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.
F_South_East_Coast_NSW_VIC_and_SA 0.446 — Fraction of South East Coast, NSW, VIC and SA, AU catchment in livestock region.
DM_Copra 0.9 — (2,3,3,1,1,na) - Dry matter fraction of copra
F_MiddaMidda_VIC 0.054 — Fraction of Midda Midda, Vic, AU catchment in livestock region.
AF_Molasses — — (2,2,2,2,1,na) - Acid factor for molasses (kMol/kg) based on (Baldock et al. 2009).
DM_Livecattle 0.319 — (2,3,3,1,1,na) - Dry matter fraction of cattle
Evap_water_loss_T 18.23003 Evap_water_loss*HA_GRAZING (1,1,1,1,1,na) 1.05 Uncertainty. Total evaporative water loss from farm dams (ML/year)
Dry_mix 2744.687 — (2,1,1,1,1,na) Total dry season lick (kg)
All_CulledBreeders_En 23.596839436739074 En_CulledBreeders/Tot_En*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to CulledBreeders based on energy content (%)
DeterminingProd 20916.111 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.
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
DM_Molasses 0.825 — (2,3,3,1,1,na) - Dry matter fraction of molasses
All_Weaners_Mass 13.63903485394995 kg_Weaners/ProductTotal*100 (2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Weaner cattle (%)
ENT_CH4 10968.102 — (2,1,1,1,1,na) kg Methane from enteric fermentation. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
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).
EN_Weaners 14090123.1 EN_lwt*1000*KG_Weaners (2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of Weaners.
BioC_CurrentAll_CulledBreeders 1082.3083325960697 (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.
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).
Anthelmintics 372.034 (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
CC_Copra 0.45 — (2,3,1,1,1,na) Carbon content of 0.5 as DM
KM_Protein_pellets 600.0 — (3,1,1,1,1,na) Estimate of transport distance for protein_pellets (km)
DM_Cottonseed 0.9 — (2,3,3,1,1,na) - Dry matter fraction of cottonseed
DU_N2O 43.396 — (2,1,1,1,1,na) kg N2O from dung and urine. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
Pro_Total 2665.99568 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)
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).
Pro_CulledBreeders 629.0907200000001 KG_CulledBreeders*PC_Lwt*EFF_P_Lwt (2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirement to produce Culled Breeders (kg)
BioC_all__corr_Weaners -63.2959833944052 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.
All_CulledBreeders_Mass 23.59683943673907 kg_CulledBreeders/ProductTotal*100 (2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Culled cattle (%)
KM_Cottonseed 400.0 — (3,1,1,1,1,na) Estimate of transport distance for cottonseed (km)
Pro_Weaners 363.61608 KG_Weaners*PC_Lwt*EFF_P_Lwt (2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirement to produce Weaners (kg)
AF_Cottonseed — — (2,2,2,2,1,na) - Acid factor for cottonseed (kMol/kg) based on (Baldock et al. 2009).
KM_Hay 100.0 — (3,1,1,1,1,na) Estimate of transport distance for hay (km)
KM_fert 200.0 — (3,1,1,1,1,na) Estimate of transport distance for fertiliser to farm (km)
Fuel 0.646 — (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).
AF_Cattle 0.34 — (2,2,2,2,1,na) - Acid factor for red meat (kMol/kg) based on (Slattery et al.).
All_Weaners 13.985073083855607 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. (%)
TRANS_cattle 81.08099999999999 PUR_Bulls/1000*KM_Cattle (2,1,1,1,1,na) 2 Uncertainty. Livestock transport for purchased cattle (t.km).
F_Murrumbidgee_NSW 0.351 — Fraction of Murrumbidgee, NSW, AU catchment in livestock region.
CC_Wet_mix — — (2,3,1,1,1,na) Carbon content 0.0 of wet season mix
HA_GRAZING 280.462 — (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).
NAAR_Inputs -2.074250656 (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)
Oats_graz — — (2,1,1,1,1,na) Total area of forage oats grazed (ha)
MAN_CH4 672.771 — (2,1,1,1,1,na) kg Methane from manure. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
Hay 3010.267 — (2,1,1,1,1,na) Total hay fed (kg)
N_Mineralised — Soil_C_loss*soil_NC_frac [Kg N] The amount of N released from SOC mineralisation - Calculated
All_Pro_Weaners 13.639034853949953 Pro_Weaners/Pro_Total*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Weaners based on protein requirement (%)
AF_Protein_Pellets — — (2,2,2,2,1,na) - Acid factor for protein pellets (kMol/kg) based on (Baldock et al. 2009).
DAM_CH4_HA 0.45 — (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).
P_PrimeCattle 3.961 — (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.
BioC_Actual_Primecattle 3609.6815202690004 kg_Primecattle*DM_Livecattle*CC_Livecattle The actual amount of biogenic carbon which should be allocated Prime cattle in kg C.
AF_Copra — — (2,2,2,2,1,na) - Acid factor for copra (kMol/kg) based on web search unspecifed sources.
All_Pro_PrimeCattle 62.76412570931098 Pro_PrimeCattle/Pro_Total*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Prime Cattle based on protein requirement (%)
DM_Wet_mix 0.9 — (2,3,3,1,1,na) - Dry matter fraction of wet season mix
DM_Protein_Pellets 0.9 — (2,3,3,1,1,na) - Dry matter fraction of protein pellets
CC_Hay 0.4 — (2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
Elec 1.913 — (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).
BioC_inputs 1186.8219649 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
Water 1140011.23 — (2,1,1,1,1,na) Total drinking water intake (L/year)
Soil_C_loss — — (2,1,1,1,1,na) Change in Soil Orgnic Carbon t C/ha/year in 0-30cm layer
KG_Weaners 4545.201 — (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).
ID_tags 2150.2 Calves_weaned*ID_tag (2,1,1,1,1,na) 1.07 Uncertainty. Weight of ID tags total (g)
BioC_all_Corr_Primecattle 310.29284867115666 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.
BioC_Pasture_nett 13389.674565834002 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.
Vaccine 372.034 (Cows+Calves_weaned)*Vaccine_vol (2,1,1,1,1,na) 1.07 Uncertainty. Vaccine administered for clostridial and reproductive diseases (ml).
BioC_Products 5751.185855734001 Producttotal*DM_Livecattle*CC_Livecattle kg biogenic carbon in outputs of all products in the inventory before applying allocation
PR_fert 1.0 — (1,1,1,1,1,na) - Proportion of grazed area fertilsed with single superphosphate
EFN_Leach 0.011 — (2,1,1,1,1,na) Emissions factor for proportion of N leached released as N2O.
ID_tag 25.0 — (2,1,1,1,1,na) Weight of plastic ID tag individual (g)
Pro_PrimeCattle 1673.28888 KG_PrimeCattle*PC_Lwt*EFF_P_Lwt (2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirement to produce PrimeCattle (kg)
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
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. -
oat_yield 100.0 — (1,1,1,1,1,na) Yield of grazing oats
All_PrimeCattle_Mass 62.76412570931097 kg_PrimeCattle/ProductTotal*100 (2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Prime cattle (%)
KG_PrimeCattle 20916.111 — (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).
Vaccine_vol 2.0 — (2,1,1,1,1,na) Volume of individual vaccine (ml)
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
F_Murray_NSW_VIC_and_SA — — Fraction of Murray, NSW, VIC and SA, AU catchment in livestock region.
BioC_CurrentAll_PrimeCattle 3919.974368940157 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.