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Cattle, prime beef, live weight, Alice Springs {AU-NT}| 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: 151413.829 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: Alice Springs, Northern Territory, 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
Contributor
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Last updated
26 Aug 2024
Reference ID
489cefca-f939-3827-8ffc-497134cb284b

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Documentation

Quantitative reference
Cattle, prime beef, live weight, Alice Springs {AU-NT}| 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, Alice Springs , biogenic C not balanced {AU-NT}| AusLCI, U 80315.502 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, Alice Springs {AU-NT}| AusLCI, U 151413.829 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 3621.6983045020716 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 3192.9120000000003 Item(s) (2,1,1,1,1,na) 1.07 Uncertainty. Internal parasite treatments for the herd.
Cattle, prime beef, live weight, Alice Springs {AU-NT}| AusLCI, U 6531.7 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 8940.0 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 3192.9120000000003 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 protein pellets 20% CP for herd.
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.
Dry season mix, 30% urea, 5.5% P, at production {AU}| | AusLCI, U 39487.101 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 2304.0501679999998 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 124929.408 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 14900.0 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 590.26904 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 16837.58819808 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 718.487 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 463944.14434261294 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 124929.408 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 124929.408 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 124929.408 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, Lake Eyre, NSW, QLD, NT and SA, AU — 1719.528371712 ML (2,1,1,1,1,na) Evaporative water loss from farm dam occuring in Lake Eyre, NSW, QLD, NT and SA, AU catchment.
Water, unspecified natural origin, Lake Eyre, NSW, QLD, NT and SA, AU — 11793013.70592 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 Lake Eyre, NSW, QLD, NT and SA, AU catchment.
Water, unspecified natural origin, North Western Plateau, WA and NT, AU — 96.8202912 ML (2,1,1,1,1,na) Evaporative water loss from farm dam occuring in North Western Plateau, WA and NT, AU catchment.
Water, unspecified natural origin, North Western Plateau, WA and NT, AU — 664021.042 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 North Western Plateau, WA and NT, AU catchment.
Water, unspecified natural origin, South Western Plateau, WA, AU — 69.71060966399999 ML (2,1,1,1,1,na) Evaporative water loss from farm dam occuring in South Western Plateau, WA, AU catchment.
Water, unspecified natural origin, South Western Plateau, WA, AU — 478095.15023999993 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 Western Plateau, WA, AU catchment.
Water, unspecified natural origin, Timor Sea, NT and WA, AU — 13652272.62352 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 Timor Sea, NT and WA, AU catchment.
Water, unspecified natural origin, Timor Sea, NT and WA, AU — 1990.625187072 ML (2,1,1,1,1,na) Evaporative water loss from farm dam occuring in Timor Sea, NT and WA, AU catchment.

Elementary flow outputs

Flow CompartmentSub-compartment AmountUnitComment
Ammonia Emission to airunspecified 6921.236000000001 kg (2,1,1,1,1,na) Uncertainty 1.4. NH3 emission
Area grazed Non material emissions— 124929.408 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 342.989 kg (2,1,1,1,1,na) Uncertainty 1.4. N2O Dung and Urine
Dinitrogen monoxide Emission to airunspecified 36.014 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 0.038 kg (2,1,1,1,1,na) Uncertainty 1.4. N2O leaching and runoff
Enteric methane Non material emissions— 113499.981 kg —
Evaporative water loss Non material emissions— 3872811.648 m3 —
Livestock N2O all sources Non material emissions— 343027036.014 kg —
Methane, non-fossil Emission to airunspecified 113499.981 kg (2,1,1,1,1,na) Uncertainty 1.21. Enteric Methane
Methane, non-fossil Emission to airunspecified 7083.927 kg (2,1,1,1,1,na) Uncertainty 1.21. Manure Methane
Methane, non-fossil Emission to airunspecified 499.717632 kg (2,1,1,1,1,na) Uncertainty 1.21. Farm dam Methane
Nitrogen Emission to waterground water 2.1490970000000003 kg (2,1,1,1,1,na) Uncertainty 1.5. N leached from Dung and Urine
Water intake of livestock Non material emissions— 26560.84168 m3 —
hydrogen ions Emissions to soil— 73.003817752 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
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 (%)
BioC_Pasture_nett 126530.221184349 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.
Fuel_use 590.26904 Fuel*Cows (1,1,1,1,1,na) 1.05 Uncertainty. Whole farm fuel use (L)
CC_Dry_mix — — (2,3,1,1,1,na) Carbon content 0.0 of dry season mix
BioC_inputs 4274.1142543000005 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
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. -
Cows 1000.456 — (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).
KM_Hay 100.0 — (3,1,1,1,1,na) Estimate of transport distance for hay (km)
ProductTotal 231729.331 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)
CC_Protein_Pellets 0.405 — (2,3,1,1,1,na) Carbon content of 0.5 as DM
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
EN_Weaners — EN_lwt*1000*KG_Weaners (2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of Weaners.
ENT_CH4 113499.981 — (2,1,1,1,1,na) kg Methane from enteric fermentation. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
All_Weaners_Mass — kg_Weaners/ProductTotal*100 (2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Weaner cattle (%)
BioC_CurrentAll_CulledBreeders 11166.335691137905 (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.
DM_Copra 0.9 — (2,3,3,1,1,na) - Dry matter fraction of copra
Allocation 1.0 — Allocation switch, 1 = Economic alocation (default for AusLCI), 2 = Energy allocation, 3 = Mass allocation, 4 = Protein Allocation.
CC_Copra 0.45 — (2,3,1,1,1,na) Carbon content of 0.5 as DM
All_Pro_CulledBreeders 34.65918692873627 Pro_CulledBreeders/Pro_Total*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Culled Breeders based on protein requirement (%)
KM_Copra 600.0 — (3,1,1,1,1,na) Estimate of transport distance for copra (km)
KG_CulledBreeders 80315.502 — (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).
DM_Molasses 0.825 — (2,3,3,1,1,na) - Dry matter fraction of molasses
AF_Copra — — (2,2,2,2,1,na) - Acid factor for copra (kMol/kg) based on web search unspecifed sources.
CC_Molasses 0.347 — (2,3,1,1,1,na) Carbon content of 0.42 as DM
ATMOS_N2O 36.014 — (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)
All_CulledBreeders_En 34.65918692873627 En_CulledBreeders/Tot_En*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to CulledBreeders based on energy content (%)
BioC_as_CH4_emissions 90812.719224 (Ent_CH4+Man_CH4+Dam_Ch4)*12/16 kg biogenic carbon emitted as methane from various sources.
Molasses — — (2,1,1,1,1,na) Total molasses fed (kg)
DM_Protein_Pellets 0.9 — (2,3,3,1,1,na) - Dry matter fraction of protein pellets
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).
All_PrimeCattle_Mass 65.34081307126372 kg_PrimeCattle/ProductTotal*100 (2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Prime cattle (%)
LEACH_N2O 0.038 — (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.
Anthelmintics 3192.9120000000003 (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
BioC_Actual_Primecattle 26130.847194991 kg_Primecattle*DM_Livecattle*CC_Livecattle The actual amount of biogenic carbon which should be allocated Prime cattle in kg C.
F_Timor_Sea_NT_and_WA 0.514 — Fraction of Timor Sea, NT and WA, AU catchment in livestock region.
All_CulledBreeders_Eco 25.603043048321055 (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
Water 26560841.68 — (2,1,1,1,1,na) Total drinking water intake (L/year)
ID_tag 25.0 — (2,1,1,1,1,na) Weight of plastic ID tag individual (g)
Soil_C_loss — — (2,1,1,1,1,na) Change in Soil Orgnic Carbon t C/ha/year in 0-30cm layer
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).
AF_Molasses — — (2,2,2,2,1,na) - Acid factor for molasses (kMol/kg) based on (Baldock et al. 2009).
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)
CC_Cottonseed 0.45 — (2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
AF_Hay -0.7 — (2,2,2,2,1,na) - Acid factor for hay (kMol/kg) based on (Slatery et al.).
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).
All_CulledBreeders_Mass 34.65918692873626 kg_CulledBreeders/ProductTotal*100 (2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Culled cattle (%)
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).
EFN_Leach 0.011 — (2,1,1,1,1,na) Emissions factor for proportion of N leached released as N2O.
DM_Cottonseed 0.9 — (2,3,3,1,1,na) - Dry matter fraction of cottonseed
KM_Lick 400.0 — (3,1,1,1,1,na) Estimate of transport distance for dry and wet season lick (km)
KG_PrimeCattle 151413.829 — (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).
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)
EFN_mineral 0.004 — (1,3,2,1,1,na) - [kgN2O-N/kgN] emission factor for N emissions from mineralisations - NIR 2023 (DCCEEW, 2025).
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
ID_tagbad 25.0 — (2,1,1,1,1,na) Was listed as Total drinking water intake (L/year)
DM_Dry_mix 0.9 — (2,3,3,1,1,na) - Dry matter fraction of dry season mix
Pro_Total 18538.34648 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)
MAN_CH4 7083.927 — (2,1,1,1,1,na) kg Methane from manure. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
Elec 2.303 — (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).
Wet_mix — — (2,1,1,1,1,na) Total wet season lick (kg)
KM_Protein_pellets 600.0 — (3,1,1,1,1,na) Estimate of transport distance for protein_pellets (km)
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
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.
DM_Livecattle 0.319 — (2,3,3,1,1,na) - Dry matter fraction of cattle
BioC_CurrentAll_PrimeCattle 29752.545499493073 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.
CC_Wet_mix — — (2,3,1,1,1,na) Carbon content 0.0 of wet season mix
All_Pro_PrimeCattle 65.34081307126374 Pro_PrimeCattle/Pro_Total*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Prime Cattle based on protein requirement (%)
F_North_Western_Plateau_WA_and_NT 0.025 — Fraction of North Western Plateau, WA and NT, AU catchment in livestock region.
PR_fert 1.0 — (1,1,1,1,1,na) - Proportion of grazed area fertilsed with single superphosphate
Hay 8940.0 — (2,1,1,1,1,na) Total hay fed (kg)
DAM_CH4 499.717632 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)
BioC_Actual_Weaners — kg_Weaners*DM_Livecattle*CC_Livecattle The actual amount of biogenic carbon which should be allocated weaners in kg C.
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).
Oats_graz — — (2,1,1,1,1,na) Total area of forage oats grazed (ha)
N_Mineralised — Soil_C_loss*soil_NC_frac [Kg N] The amount of N released from SOC mineralisation - Calculated
Vaccine_vol 2.0 — (2,1,1,1,1,na) Volume of individual vaccine (ml)
Cattle 1911.448 — (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).
DAM_CH4_HA 0.004 — (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).
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.
PUR_Bulls_WT 700.0 — (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_Cottonseed — — (2,2,2,2,1,na) - Acid factor for cottonseed (kMol/kg) based on (Baldock et al. 2009).
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. (%)
Cottonseed — — (2,1,1,1,1,na) Total cottonseed fed (kg)
N_LeachGW 2.1490970000000003 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).
All_PrimeCattle 74.39695695167894 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. (%)
All_CulledBreeders 25.603043048321055 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. (%)
Dry_mix 39487.101 — (2,1,1,1,1,na) Total dry season lick (kg)
TotN_LeachGW 2.173 — (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)
HA_GRAZING 124929.408 — (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).
BioC_Products 39991.616214649 Producttotal*DM_Livecattle*CC_Livecattle kg biogenic carbon in outputs of all products in the inventory before applying allocation
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
TRANS_cattle 718.487 PUR_Bulls/1000*KM_Cattle (2,1,1,1,1,na) 2 Uncertainty. Livestock transport for purchased cattle (t.km).
Vaccine 3192.9120000000003 (Cows+Calves_weaned)*Vaccine_vol (2,1,1,1,1,na) 1.07 Uncertainty. Vaccine administered for clostridial and reproductive diseases (ml).
Fuel 0.59 — (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).
F_Lake_Eyre_NSW_QLD_NT_and_SA 0.444 — Fraction of Lake Eyre, NSW, QLD, NT and SA, AU catchment in livestock region.
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
TotalTkmRoad 16837.58819808 (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.
PUR_Bulls_NO 9.331 — (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).
CC_Hay 0.4 — (2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
oat_yield 100.0 — (1,1,1,1,1,na) Yield of grazing oats
F_South_Western_Plateau_WA 0.018 — Fraction of South Western Plateau, WA, AU catchment in livestock region.
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.)
BioC_all_Corr_Primecattle 3621.6983045020716 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.
Evap_water_loss_T 3872.811648 Evap_water_loss*HA_GRAZING (1,1,1,1,1,na) 1.05 Uncertainty. Total evaporative water loss from farm dams (ML/year)
All_Weaners_En — En_Weaners/Tot_En*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Weaners based on energy content (%)
AF_Cattle 0.34 — (2,2,2,2,1,na) - Acid factor for red meat (kMol/kg) based on (Slattery et al.).
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).
PUR_Bulls 6531.7 PUR_Bulls_WT*PUR_Bulls_NO (2,1,1,1,1,na) 1.07 Uncertainty. Total liveweight of replacement bulls purchased each year (kg)
Pro_PrimeCattle 12113.10632 KG_PrimeCattle*PC_Lwt*EFF_P_Lwt (2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirement to produce PrimeCattle (kg)
NAAR_Inputs -5.7841547879999995 (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)
All_PrimeCattle_Eco 74.39695695167894 (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 (%)
EN_PrimeCattle 469382869.9 EN_lwt*1000*KG_PrimeCattle (2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of PrimeCattle.
Elec_use 2304.0501679999998 Elec*Cows (1,1,1,1,1,na) 1.05 Uncertainty. Whole farm electricity use (kWh)
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)
Sorghum_graz — — (2,1,1,1,1,na) Total area of forage sorghum grazed (ha)
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
DM_Wet_mix 0.9 — (2,3,3,1,1,na) - Dry matter fraction of wet season mix
KM_fuel 300.0 — (3,1,1,1,1,na) Estimate of transport distance for fuel to farm (km)
NAAR_Cattle 78.78797254 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
BioC_Actual_CulledBreeders 13860.769019658 kg_Culledbreeders*DM_Livecattle*CC_Livecattle The actual amount of biogenic carbon which should be allocated culled breeders in kg C.
EN_CulledBreeders 248978056.2 En_lwt*1000*KG_CulledBreeders (2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of VulledBreeders.
DM_Hay 0.88 — (2,3,3,1,1,na) - Dry matter fraction of hay
P_CulledBreeders 2.649 — (1,1,1,1,1,na) Average price for National Processor Cow Indicator ($/kg live weight sold) from MLA https://www.mla.com/prices-markets/statistics/ for 5 year period 2019 - 2024.
P_Weaners — — (1,1,1,1,1,na) Average price for Restocker Yearlings (Heifers and Steers) ($/kg live weight sold) from MLA https://www.mla.com/prices-markets/statistics/ for 5 year period 2019 - 2024.
Protein_Pellets — — (2,1,1,1,1,na) Total protein pellets 20% CP fed (kg)
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).
KM_Molasses 400.0 — (3,1,1,1,1,na) Estimate of transport distance for molasses (km)
DeterminingProd 151413.829 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_Cottonseed 400.0 — (3,1,1,1,1,na) Estimate of transport distance for cottonseed (km)
DMI 5483090.889 — (2,1,1,1,1,na) kg Dry matter intake. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
ID_tags 14900.0 Calves_weaned*ID_tag (2,1,1,1,1,na) 1.07 Uncertainty. Weight of ID tags total (g)
Pro_CulledBreeders 6425.24016 KG_CulledBreeders*PC_Lwt*EFF_P_Lwt (2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirement to produce Culled Breeders (kg)
Calves_weaned 596.0 — (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).
Copra — — (2,1,1,1,1,na) Total copra meal fed (kg)
Tot_En 718360926.0999999 En_CulledBreeders+En_PrimeCattle+En_Weaners (2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of co-products.
DU_N2O 342.989 — (2,1,1,1,1,na) kg N2O from dung and urine. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
P_PrimeCattle 4.083 — (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.
All_PrimeCattle_En 65.34081307126374 En_PrimeCattle/Tot_En*100 (2,1,1,1,1,na) 1.07 Uncertainty. Allocation to PrimeCattle based on energy content (%)
Evap_water_loss 0.031 — (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.
BioC_all__corr_CulledBreeders 2694.4333285200955 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.
AF_Protein_Pellets — — (2,2,2,2,1,na) - Acid factor for protein pellets (kMol/kg) based on (Baldock et al. 2009).
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.