| Vaccine_vol |
2.0 |
— |
(2,1,1,1,1,na) Volume of individual vaccine (ml)
|
| oat_yield |
100.0 |
— |
(1,1,1,1,1,na) Yield of grazing oats
|
| F_Murrumbidgee_NSW |
0.0000104 |
— |
Fraction of Murrumbidgee, NSW, AU catchment in livestock region.
|
| ID_tagbad |
25.0 |
— |
(2,1,1,1,1,na) Was listed as Total drinking water intake (L/year)
|
| BioC_CurrentAll_CulledBreeders |
1321.4852776715588 |
(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.
|
| 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).
|
| Soil_C_loss |
— |
— |
(2,1,1,1,1,na) Change in Soil Orgnic Carbon t C/ha/year in 0-30cm layer
|
| Vaccine |
383.694 |
(Cows+Calves_weaned)*Vaccine_vol |
(2,1,1,1,1,na) 1.07 Uncertainty. Vaccine administered for clostridial and reproductive diseases (ml).
|
| BioC_CurrentAll_Weaners |
3239.518980640872 |
(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_Hay |
0.4 |
— |
(2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
|
| AF_Molasses |
— |
— |
(2,2,2,2,1,na) - Acid factor for molasses (kMol/kg) based on (Baldock et al. 2009).
|
| Oats_graz |
— |
— |
(2,1,1,1,1,na) Total area of forage oats grazed (ha)
|
| 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_CurrentAll_PrimeCattle |
306.56479159143925 |
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.
|
| 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
|
| MAN_CH4 |
698.157 |
— |
(2,1,1,1,1,na) kg Methane from manure. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| Cattle |
213.983 |
— |
(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).
|
| KM_Copra |
600.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for copra (km)
|
| 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).
|
| KG_Weaners |
16397.046 |
— |
(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).
|
| BioC_Actual_CulledBreeders |
1733.6076561210004 |
kg_Culledbreeders*DM_Livecattle*CC_Livecattle |
The actual amount of biogenic carbon which should be allocated culled breeders in kg C.
|
| All_PrimeCattle |
6.344078844525454 |
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. (%)
|
| BioC_all__corr_Weaners |
-409.733179006872 |
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.
|
| ATMOS_N2O |
4.794 |
— |
(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)
|
| PUR_Bulls_NO |
0.818 |
— |
(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).
|
| Hay |
3217.435 |
— |
(2,1,1,1,1,na) Total hay fed (kg)
|
| KM_Cottonseed |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for cottonseed (km)
|
| All_CulledBreeders_En |
35.875429786998794 |
En_CulledBreeders/Tot_En*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to CulledBreeders based on energy content (%)
|
| Evap_water_loss |
— |
— |
(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.
|
| DM_Copra |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of copra
|
| BioC_all__corr_CulledBreeders |
412.1223784494416 |
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.
|
| HA_GRAZING |
342.925 |
— |
(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).
|
| DAM_CH4 |
730.43025 |
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)
|
| NAAR_Inputs |
-2.227046896 |
(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)
|
| KM_Lick |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for dry and wet season lick (km)
|
| EN_CulledBreeders |
31140426.900000002 |
En_lwt*1000*KG_CulledBreeders |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of VulledBreeders.
|
| 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
|
| DM_Wet_mix |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of wet season mix
|
| Tot_En |
86801543.8 |
En_CulledBreeders+En_PrimeCattle+En_Weaners |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of co-products.
|
| Pro_PrimeCattle |
124.65224 |
KG_PrimeCattle*PC_Lwt*EFF_P_Lwt |
(2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirement to produce PrimeCattle (kg)
|
| Wet_mix |
— |
— |
(2,1,1,1,1,na) Total wet season lick (kg)
|
| KM_Molasses |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for molasses (km)
|
| TRANS_cattle |
79.18239999999999 |
PUR_Bulls/1000*KM_Cattle |
(2,1,1,1,1,na) 2 Uncertainty. Livestock transport for purchased cattle (t.km).
|
| DU_N2O |
45.657 |
— |
(2,1,1,1,1,na) kg N2O from dung and urine. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| Fuel_use |
64.54832 |
Fuel*Cows |
(1,1,1,1,1,na) 1.05 Uncertainty. Whole farm fuel use (L)
|
| DAM_CH4_HA |
2.13 |
— |
(2,1,1,1,1,na) Methane emissions form farm dams (kg CH4 ha/yr), calcuted using the temperature based approach descibed by NIR 2023 (DCCEEW 2025). Dam density described by NIR 2023 (DCCEEW 2025).
|
| AF_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).
|
| F_South_East_Coast_NSW_VIC_and_SA |
1.0 |
— |
Fraction of South East Coast, NSW, VIC and SA, AU catchment in livestock region.
|
| CC_Protein_Pellets |
0.405 |
— |
(2,3,1,1,1,na) Carbon content of 0.5 as DM
|
| Copra |
— |
— |
(2,1,1,1,1,na) Total copra meal fed (kg)
|
| 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
|
| 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.
|
| BioC_Actual_Weaners |
2829.785801634 |
kg_Weaners*DM_Livecattle*CC_Livecattle |
The actual amount of biogenic carbon which should be allocated weaners in kg C.
|
| 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).
|
| N_LeachGW |
1512.9761560000002 |
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).
|
| DeterminingProd |
16397.046 |
KG_Weaners |
(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.
|
| CC_Cottonseed |
0.45 |
— |
(2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
|
| BioC_Pasture_nett |
13199.905994482 |
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.
|
| All_Weaners_En |
58.5598370428983 |
En_Weaners/Tot_En*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Weaners based on energy content (%)
|
| CC_Wet_mix |
— |
— |
(2,3,1,1,1,na) Carbon content 0.0 of wet season mix
|
| TotalTkmRoad |
1862.44647664 |
(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.
|
| DM_Hay |
0.88 |
— |
(2,3,3,1,1,na) - Dry matter fraction of hay
|
| All_Weaners_Mass |
58.5598370428983 |
kg_Weaners/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Weaner cattle (%)
|
| PUR_Bulls_WT |
880.0 |
— |
(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).
|
| Elec_use |
191.14696 |
Elec*Cows |
(1,1,1,1,1,na) 1.05 Uncertainty. Whole farm electricity use (kWh)
|
| Anthelmintics |
383.694 |
(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
|
| DM_Cottonseed |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of cottonseed
|
| Evap_water_loss_T |
— |
Evap_water_loss*HA_GRAZING |
(1,1,1,1,1,na) 1.05 Uncertainty. Total evaporative water loss from farm dams (ML/year)
|
| BioC_Actual_Primecattle |
268.904486587 |
kg_Primecattle*DM_Livecattle*CC_Livecattle |
The actual amount of biogenic carbon which should be allocated Prime cattle in kg C.
|
| ProductTotal |
28000.498 |
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)
|
| AF_Cottonseed |
— |
— |
(2,2,2,2,1,na) - Acid factor for cottonseed (kMol/kg) based on (Baldock et al. 2009).
|
| 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
|
| ID_tags |
2298.175 |
Calves_weaned*ID_tag |
(2,1,1,1,1,na) 1.07 Uncertainty. Weight of ID tags total (g)
|
| P_Weaners |
4.145 |
— |
(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.
|
| ENT_CH4 |
11403.912 |
— |
(2,1,1,1,1,na) kg Methane from enteric fermentation. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| 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. -
|
| ID_tag |
25.0 |
— |
(2,1,1,1,1,na) Weight of plastic ID tag individual (g)
|
| CC_Dry_mix |
— |
— |
(2,3,1,1,1,na) Carbon content 0.0 of dry season mix
|
| Tot_P_fert |
3429.25 |
P_fert*HA_Grazing*PR_fert |
(2,1,1,1,1,na) 1.07 Uncertainty. Total fertiliser applied as single superphosphate (kg)
|
| Pro_Weaners |
1311.76368 |
KG_Weaners*PC_Lwt*EFF_P_Lwt |
(2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirement to produce Weaners (kg)
|
| All_CulledBreeders_Mass |
35.875429786998794 |
kg_CulledBreeders/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Culled cattle (%)
|
| All_Pro_CulledBreeders |
35.87542978699879 |
Pro_CulledBreeders/Pro_Total*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Culled Breeders based on protein requirement (%)
|
| 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
|
| Pro_Total |
2240.0398400000004 |
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)
|
| Cottonseed |
— |
— |
(2,1,1,1,1,na) Total cottonseed fed (kg)
|
| DM_Molasses |
0.825 |
— |
(2,3,3,1,1,na) - Dry matter fraction of molasses
|
| CC_Copra |
0.45 |
— |
(2,3,1,1,1,na) Carbon content of 0.5 as DM
|
| P_PrimeCattle |
4.16 |
— |
(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_Hay |
-0.7 |
— |
(2,2,2,2,1,na) - Acid factor for hay (kMol/kg) based on (Slatery et al.).
|
| KG_CulledBreeders |
10045.299 |
— |
(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).
|
| DMI |
550913.632 |
— |
(2,1,1,1,1,na) kg Dry matter intake. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| 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).
|
| 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
|
| KG_PrimeCattle |
1558.153 |
— |
(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).
|
| PUR_Bulls |
719.8399999999999 |
PUR_Bulls_WT*PUR_Bulls_NO |
(2,1,1,1,1,na) 1.07 Uncertainty. Total liveweight of replacement bulls purchased each year (kg)
|
| AF_Copra |
— |
— |
(2,2,2,2,1,na) - Acid factor for copra (kMol/kg) based on web search unspecifed sources.
|
| KM_Protein_pellets |
600.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for protein_pellets (km)
|
| Calves_weaned |
91.927 |
— |
(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).
|
| Allocation |
1.0 |
— |
Allocation switch, 1 = Economic alocation (default for AusLCI), 2 = Energy allocation, 3 = Mass allocation, 4 = Protein Allocation.
|
| BioC_inputs |
1256.76638736 |
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
|
| All_Pro_Weaners |
58.5598370428983 |
Pro_Weaners/Pro_Total*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Weaners based on protein requirement (%)
|
| EN_PrimeCattle |
4830274.3 |
EN_lwt*1000*KG_PrimeCattle |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of PrimeCattle.
|
| BioC_all_Corr_Primecattle |
37.66030500443924 |
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.
|
| DM_Dry_mix |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of dry season mix
|
| 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.
|
| KM_fert |
200.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for fertiliser to farm (km)
|
| All_PrimeCattle_En |
5.564733170102904 |
En_PrimeCattle/Tot_En*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to PrimeCattle based on energy content (%)
|
| Water |
1650556.869 |
— |
(2,1,1,1,1,na) Total drinking water intake (L/year)
|
| 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).
|
| Protein_Pellets |
— |
— |
(2,1,1,1,1,na) Total protein pellets 20% CP fed (kg)
|
| KM_Hay |
100.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for hay (km)
|
| DM_Livecattle |
0.319 |
— |
(2,3,3,1,1,na) - Dry matter fraction of cattle
|
| All_PrimeCattle_Mass |
5.564733170102904 |
kg_PrimeCattle/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Prime cattle (%)
|
| Dry_mix |
2096.467 |
— |
(2,1,1,1,1,na) Total dry season lick (kg)
|
| BioC_as_CH4_emissions |
9624.374437499999 |
(Ent_CH4+Man_CH4+Dam_Ch4)*12/16 |
kg biogenic carbon emitted as methane from various sources.
|
| All_PrimeCattle_Eco |
6.344078844525454 |
(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 (%)
|
| PR_fert |
1.0 |
— |
(1,1,1,1,1,na) - Proportion of grazed area fertilsed with single superphosphate
|
| KM_fuel |
300.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for fuel to farm (km)
|
| TotN_LeachGW |
1529.804 |
— |
(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)
|
| EFN_Leach |
0.011 |
— |
(2,1,1,1,1,na) Emissions factor for proportion of N leached released as N2O.
|
| All_Weaners |
66.5204672150038 |
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. (%)
|
| CC_Molasses |
0.347 |
— |
(2,3,1,1,1,na) Carbon content of 0.42 as DM
|
| Cows |
99.92 |
— |
(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).
|
| DM_Protein_Pellets |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of protein pellets
|
| Pro_CulledBreeders |
803.6239200000001 |
KG_CulledBreeders*PC_Lwt*EFF_P_Lwt |
(2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirement to produce Culled Breeders (kg)
|
| All_Weaners_Eco |
66.5204672150038 |
(KG_Weaners*P_Weaners)/(P_PrimeCattle*KG_PrimeCattle+P_CulledBreeders*KG_CulledBreeders+KG_Weaners*P_weaners)*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Economic allocation fraction for Weaned cattle - default for AusLCI (%)
|
| All_CulledBreeders_Eco |
27.135453940470743 |
(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
|
| All_Pro_PrimeCattle |
5.564733170102903 |
Pro_PrimeCattle/Pro_Total*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Prime Cattle based on protein requirement (%)
|
| BioC_Products |
4832.297944342001 |
Producttotal*DM_Livecattle*CC_Livecattle |
kg biogenic carbon in outputs of all products in the inventory before applying allocation
|
| EN_Weaners |
50830842.599999994 |
EN_lwt*1000*KG_Weaners |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of Weaners.
|
| All_CulledBreeders |
27.135453940470743 |
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. (%)
|
| 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).
|
| N_Mineralised |
— |
Soil_C_loss*soil_NC_frac |
[Kg N] The amount of N released from SOC mineralisation - Calculated
|
| LEACH_N2O |
26.444 |
— |
(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.
|
| EFN_mineral |
0.004 |
— |
(1,3,2,1,1,na) - [kgN2O-N/kgN] emission factor for N emissions from mineralisations - NIR 2023 (DCCEEW, 2025).
|
| Sorghum_graz |
— |
— |
(2,1,1,1,1,na) Total area of forage sorghum grazed (ha)
|
| AF_Protein_Pellets |
— |
— |
(2,2,2,2,1,na) - Acid factor for protein pellets (kMol/kg) based on (Baldock et al. 2009).
|
| NAAR_Cattle |
9.52016932 |
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
|
| 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).
|
| Molasses |
— |
— |
(2,1,1,1,1,na) Total molasses fed (kg)
|
| AF_Cattle |
0.34 |
— |
(2,2,2,2,1,na) - Acid factor for red meat (kMol/kg) based on (Slattery et al.).
|