| 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)
|
| 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.
|
| AF_Cottonseed |
— |
— |
(2,2,2,2,1,na) - Acid factor for cottonseed (kMol/kg) based on (Baldock et al. 2009).
|
| 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.
|
| MAN_CH4 |
517.09 |
— |
(2,1,1,1,1,na) kg Methane from manure. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| Cottonseed |
— |
— |
(2,1,1,1,1,na) Total cottonseed fed (kg)
|
| 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
|
| 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.
|
| 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)
|
| 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 (%)
|
| 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 (%)
|
| EN_Weaners |
14090123.1 |
EN_lwt*1000*KG_Weaners |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of Weaners.
|
| 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)
|
| F_Murray_NSW_VIC_and_SA |
0.244 |
— |
Fraction of Murray, NSW, VIC and SA, AU catchment in livestock region.
|
| 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)
|
| 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).
|
| EFN_mineral |
0.004 |
— |
(1,3,2,1,1,na) - [kgN2O-N/kgN] emission factor for N emissions from mineralisations - NIR 2023 (DCCEEW, 2025).
|
| 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).
|
| TotalTkmRoad |
1769.674569664 |
(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.
|
| CC_Dry_mix |
— |
— |
(2,3,1,1,1,na) Carbon content 0.0 of dry season mix
|
| F_Goulburn_Broken_VIC |
0.191 |
— |
Fraction of Goulburn-Broken, VIC, AU catchment in livestock region.
|
| Allocation |
1.0 |
— |
Allocation switch, 1 = Economic alocation (default for AusLCI), 2 = Energy allocation, 3 = Mass allocation, 4 = Protein Allocation.
|
| 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).
|
| 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 (%)
|
| CC_Wet_mix |
— |
— |
(2,3,1,1,1,na) Carbon content 0.0 of wet season mix
|
| Evap_water_loss_T |
5.671072000000001 |
Evap_water_loss*HA_GRAZING |
(1,1,1,1,1,na) 1.05 Uncertainty. Total evaporative water loss from farm dams (ML/year)
|
| DM_Protein_Pellets |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of protein pellets
|
| 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 (%)
|
| KM_Hay |
100.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for hay (km)
|
| Elec_use |
179.816182 |
Elec*Cows |
(1,1,1,1,1,na) 1.05 Uncertainty. Whole farm electricity use (kWh)
|
| 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).
|
| F_Ovens_VIC |
0.049 |
— |
Fraction of Ovens, VIC, AU catchment in livestock region.
|
| All_PrimeCattle_Mass |
62.76412570931097 |
kg_PrimeCattle/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Prime cattle (%)
|
| 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.
|
| 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).
|
| CC_Protein_Pellets |
0.405 |
— |
(2,3,1,1,1,na) Carbon content of 0.5 as DM
|
| KM_Molasses |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for molasses (km)
|
| 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 (%)
|
| F_MiddaMidda_VIC |
— |
— |
Fraction of Midda Midda, Vic, AU catchment in livestock region.
|
| 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)
|
| 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
|
| 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.
|
| 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.
|
| 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 (%)
|
| 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_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.
|
| AF_Cattle |
0.34 |
— |
(2,2,2,2,1,na) - Acid factor for red meat (kMol/kg) based on (Slattery et al.).
|
| ENT_CH4 |
11286.045 |
— |
(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).
|
| Sorghum_graz |
— |
— |
(2,1,1,1,1,na) Total area of forage sorghum grazed (ha)
|
| Oats_graz |
— |
— |
(2,1,1,1,1,na) Total area of forage oats grazed (ha)
|
| Fuel |
0.648 |
— |
(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).
|
| BioC_as_CH4_emissions |
8980.34911725 |
(Ent_CH4+Man_CH4+Dam_Ch4)*12/16 |
kg biogenic carbon emitted as methane from various sources.
|
| CC_Hay |
0.4 |
— |
(2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
|
| Protein_Pellets |
— |
— |
(2,1,1,1,1,na) Total protein pellets 20% CP fed (kg)
|
| KM_Cottonseed |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for cottonseed (km)
|
| 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
|
| 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. (%)
|
| TotN_LeachGW |
936.531 |
— |
(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)
|
| 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).
|
| 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 (%)
|
| Hay |
3010.267 |
— |
(2,1,1,1,1,na) Total hay fed (kg)
|
| 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
|
| Wet_mix |
— |
— |
(2,1,1,1,1,na) Total wet season lick (kg)
|
| HA_GRAZING |
177.221 |
— |
(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).
|
| CC_Cottonseed |
0.45 |
— |
(2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
|
| DM_Molasses |
0.825 |
— |
(2,3,3,1,1,na) - Dry matter fraction of molasses
|
| CC_Molasses |
0.347 |
— |
(2,3,1,1,1,na) Carbon content of 0.42 as DM
|
| 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.
|
| KM_Copra |
600.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for copra (km)
|
| 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.
|
| 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).
|
| KM_fuel |
300.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for fuel to farm (km)
|
| AF_Protein_Pellets |
— |
— |
(2,2,2,2,1,na) - Acid factor for protein pellets (kMol/kg) based on (Baldock et al. 2009).
|
| Fuel_use |
64.805832 |
Fuel*Cows |
(1,1,1,1,1,na) 1.05 Uncertainty. Whole farm fuel use (L)
|
| F_Loddon_Avoca_VIC |
0.211 |
— |
Fraction of Loddon-Avoca, VIC, AU catchment in livestock region.
|
| 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)
|
| Elec |
1.798 |
— |
(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).
|
| AF_Molasses |
— |
— |
(2,2,2,2,1,na) - Acid factor for molasses (kMol/kg) based on (Baldock et al. 2009).
|
| TRANS_cattle |
81.08099999999999 |
PUR_Bulls/1000*KM_Cattle |
(2,1,1,1,1,na) 2 Uncertainty. Livestock transport for purchased cattle (t.km).
|
| Vaccine_vol |
2.0 |
— |
(2,1,1,1,1,na) Volume of individual vaccine (ml)
|
| 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
|
| ID_tagbad |
25.0 |
— |
(2,1,1,1,1,na) Was listed as Total drinking water intake (L/year)
|
| F_Wimmera_VIC |
0.215 |
— |
Fraction of Wimmera, VIC, AU catchment in livestock region.
|
| 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
|
| 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).
|
| N_LeachGW |
926.229159 |
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).
|
| DM_Cottonseed |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of cottonseed
|
| oat_yield |
100.0 |
— |
(1,1,1,1,1,na) Yield of grazing oats
|
| DM_Hay |
0.88 |
— |
(2,3,3,1,1,na) - Dry matter fraction of hay
|
| ID_tag |
25.0 |
— |
(2,1,1,1,1,na) Weight of plastic ID tag individual (g)
|
| EN_PrimeCattle |
64839944.1 |
EN_lwt*1000*KG_PrimeCattle |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of PrimeCattle.
|
| Copra |
— |
— |
(2,1,1,1,1,na) Total copra meal fed (kg)
|
| 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.
|
| DM_Copra |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of copra
|
| N_Mineralised |
— |
Soil_C_loss*soil_NC_frac |
[Kg N] The amount of N released from SOC mineralisation - Calculated
|
| All_CulledBreeders_Mass |
23.59683943673907 |
kg_CulledBreeders/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Culled cattle (%)
|
| Molasses |
— |
— |
(2,1,1,1,1,na) Total molasses fed (kg)
|
| 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 (%)
|
| 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_Products |
5751.185855734001 |
Producttotal*DM_Livecattle*CC_Livecattle |
kg biogenic carbon in outputs of all products in the inventory before applying allocation
|
| Evap_water_loss |
0.032 |
— |
(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.
|
| AF_Copra |
— |
— |
(2,2,2,2,1,na) - Acid factor for copra (kMol/kg) based on web search unspecifed sources.
|
| DU_N2O |
84.084 |
— |
(2,1,1,1,1,na) kg N2O from dung and urine. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| DM_Dry_mix |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of dry season mix
|
| BioC_Pasture_nett |
13544.713008084002 |
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.
|
| EFN_Leach |
0.011 |
— |
(2,1,1,1,1,na) Emissions factor for proportion of N leached released as N2O.
|
| AF_Hay |
-0.7 |
— |
(2,2,2,2,1,na) - Acid factor for hay (kMol/kg) based on (Slatery et al.).
|
| DAM_CH4_HA |
0.963 |
— |
(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).
|
| Water |
1492641.44 |
— |
(2,1,1,1,1,na) Total drinking water intake (L/year)
|
| Dry_mix |
2744.687 |
— |
(2,1,1,1,1,na) Total dry season lick (kg)
|
| KM_Lick |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for dry and wet season lick (km)
|
| KM_Protein_pellets |
600.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for protein_pellets (km)
|
| 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.
|
| LEACH_N2O |
16.189 |
— |
(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.
|
| 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).
|
| 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.
|
| P_fert |
10.0 |
— |
(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).
|
| F_Murrumbidgee_NSW |
0.00000447 |
— |
Fraction of Murrumbidgee, NSW, AU catchment in livestock region.
|
| Tot_P_fert |
1772.21 |
P_fert*HA_Grazing*PR_fert |
(2,1,1,1,1,na) 1.07 Uncertainty. Total fertiliser applied as single superphosphate (kg)
|
| 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. (%)
|
| 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).
|
| 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
|
| 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).
|
| 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. -
|
| Soil_C_loss |
— |
— |
(2,1,1,1,1,na) Change in Soil Orgnic Carbon t C/ha/year in 0-30cm layer
|
| KM_fert |
200.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for fertiliser to farm (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.
|
| ATMOS_N2O |
8.829 |
— |
(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)
|
| 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)
|
| F_Campaspe_VIC |
0.034 |
— |
Fraction of Campaspe, VIC, AU catchment in livestock region.
|
| 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.
|
| 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.
|
| All_Weaners_Mass |
13.63903485394995 |
kg_Weaners/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Weaner cattle (%)
|
| 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
|
| 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_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_Copra |
0.45 |
— |
(2,3,1,1,1,na) Carbon content of 0.5 as DM
|
| DM_Livecattle |
0.319 |
— |
(2,3,3,1,1,na) - Dry matter fraction of cattle
|
| 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.
|
| 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).
|
| DMI |
545219.586 |
— |
(2,1,1,1,1,na) kg Dry matter intake. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| 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. (%)
|
| DAM_CH4 |
170.663823 |
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)
|
| F_South_East_Coast_NSW_VIC_and_SA |
0.056 |
— |
Fraction of South East Coast, NSW, VIC and SA, AU catchment in livestock region.
|
| PR_fert |
1.0 |
— |
(1,1,1,1,1,na) - Proportion of grazed area fertilsed with single superphosphate
|
| DM_Wet_mix |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of wet season mix
|