| 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).
|
| BioC_all__corr_CulledBreeders |
1373.8221619320502 |
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).
|
| BioC_Actual_CulledBreeders |
18848.626395599 |
kg_Culledbreeders*DM_Livecattle*CC_Livecattle |
The actual amount of biogenic carbon which should be allocated culled breeders in kg C.
|
| Fuel |
0.647 |
— |
(1,1,1,1,1,na) Fuel (L diesel/Cow mated) calculated from economic data reported in farm survey data from ABARES for 2018-2022 (https://www.agriculture.gov.au/abares/data/farm-data-portal).
|
| BioC_inputs |
14221.67188354 |
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 |
44997630.2 |
— |
(2,1,1,1,1,na) Total drinking water intake (L/year)
|
| Pro_CulledBreeders |
8737.39048 |
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 |
— |
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. (%)
|
| KM_Protein_pellets |
600.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for protein_pellets (km)
|
| All_CulledBreeders_Eco |
28.103529220367662 |
(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
|
| 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_CurrentAll_CulledBreeders |
17474.80423366695 |
(BioC_Products+BioC_all_Corr_Primecattle)*All_Culledbreeders/100 |
Due to the allocation approach this is how much biogenic CO2 is being directed to the culled breeders product. in kg C. This is likely not the correct amount.
|
| CC_Dry_mix |
— |
— |
(2,3,1,1,1,na) Carbon content 0.0 of dry season mix
|
| Evap_water_loss_T |
2189.607603 |
Evap_water_loss*HA_GRAZING |
(1,1,1,1,1,na) 1.05 Uncertainty. Total evaporative water loss from farm dams (ML/year)
|
| All_CulledBreeders |
28.103529220367662 |
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. (%)
|
| KG_PrimeCattle |
240009.767 |
— |
(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).
|
| 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.)
|
| Soil_C_loss |
— |
— |
(2,1,1,1,1,na) Change in Soil Orgnic Carbon t C/ha/year in 0-30cm layer
|
| AF_Cattle |
0.34 |
— |
(2,2,2,2,1,na) - Acid factor for red meat (kMol/kg) based on (Slattery et al.).
|
| KM_fuel |
300.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for fuel to farm (km)
|
| Pro_PrimeCattle |
19200.78136 |
KG_PrimeCattle*PC_Lwt*EFF_P_Lwt |
(2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirement to produce PrimeCattle (kg)
|
| CC_Cottonseed |
0.45 |
— |
(2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
|
| DAM_CH4 |
1363.3405830000002 |
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)
|
| 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
|
| DM_Hay |
0.88 |
— |
(2,3,3,1,1,na) - Dry matter fraction of hay
|
| TotN_LeachGW |
2099.848 |
— |
(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)
|
| Sorghum_graz |
— |
— |
(2,1,1,1,1,na) Total area of forage sorghum grazed (ha)
|
| Allocation |
1.0 |
— |
Allocation switch, 1 = Economic alocation (default for AusLCI), 2 = Energy allocation, 3 = Mass allocation, 4 = Protein Allocation.
|
| AF_Dry_mix |
0.012 |
— |
(2,2,2,2,1,na) - Acid factor for urea (kMol/kg) assuming 30% urea in dry season mix, based on (Baldock et al. 2009).
|
| Vaccine_vol |
2.0 |
— |
(2,1,1,1,1,na) Volume of individual vaccine (ml)
|
| All_PrimeCattle |
71.89647077963232 |
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. (%)
|
| 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
|
| LEACH_N2O |
36.297 |
— |
(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.
|
| DM_Protein_Pellets |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of protein pellets
|
| ID_tag |
25.0 |
— |
(2,1,1,1,1,na) Weight of plastic ID tag individual (g)
|
| EFN_mineral |
0.004 |
— |
(1,3,2,1,1,na) - [kgN2O-N/kgN] emission factor for N emissions from mineralisations - NIR 2023 (DCCEEW, 2025).
|
| Oats_graz |
— |
— |
(2,1,1,1,1,na) Total area of forage oats grazed (ha)
|
| P_PrimeCattle |
3.163 |
— |
(1,1,1,1,1,na) Average price for Young Cattle Indicator (Eastern and Western) and National Feeder Steer ($/kg live weight sold) from MLA https://www.mla.com/prices-markets/statistics/ for 5 year period 2019 - 2024.
|
| DM_Molasses |
0.825 |
— |
(2,3,3,1,1,na) - Dry matter fraction of molasses
|
| P_Weaners |
3.74 |
— |
(1,1,1,1,1,na) Average price for Restocker Yearlings (Heifers and Steers) ($/kg live weight sold) from MLA https://www.mla.com/prices-markets/statistics/ for 5 year period 2019 - 2024.
|
| ID_tagbad |
25.0 |
— |
(2,1,1,1,1,na) Was listed as Total drinking water intake (L/year)
|
| ENT_CH4 |
167001.449 |
— |
(2,1,1,1,1,na) kg Methane from enteric fermentation. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| BioC_all_Corr_Primecattle |
1910.8339352885741 |
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.
|
| Vaccine |
3788.976 |
(Cows+Calves_weaned)*Vaccine_vol |
(2,1,1,1,1,na) 1.07 Uncertainty. Vaccine administered for clostridial and reproductive diseases (ml).
|
| KM_Cottonseed |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for cottonseed (km)
|
| 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 |
894.003 |
— |
(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).
|
| TotalTkmRoad |
32329.72637634 |
(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 |
9.778 |
— |
(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).
|
| All_Weaners_En |
— |
En_Weaners/Tot_En*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Weaners based on energy content (%)
|
| 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. -
|
| CC_Hay |
0.4 |
— |
(2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
|
| BioC_Actual_Weaners |
— |
kg_Weaners*DM_Livecattle*CC_Livecattle |
The actual amount of biogenic carbon which should be allocated weaners in kg C.
|
| NAAR_Inputs |
-25.179935352 |
(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)
|
| Dry_mix |
71118.879 |
— |
(2,1,1,1,1,na) Total dry season lick (kg)
|
| KM_fert |
200.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for fertiliser to farm (km)
|
| 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.
|
| EN_CulledBreeders |
338573881.09999996 |
En_lwt*1000*KG_CulledBreeders |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of VulledBreeders.
|
| 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
|
| 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).
|
| ProductTotal |
349227.148 |
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)
|
| KG_CulledBreeders |
109217.381 |
— |
(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).
|
| KM_Copra |
600.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for copra (km)
|
| All_CulledBreeders_Mass |
31.27402369073552 |
kg_CulledBreeders/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Culled cattle (%)
|
| Cottonseed |
— |
— |
(2,1,1,1,1,na) Total cottonseed fed (kg)
|
| Copra |
— |
— |
(2,1,1,1,1,na) Total copra meal fed (kg)
|
| 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)
|
| Protein_Pellets |
— |
— |
(2,1,1,1,1,na) Total protein pellets 20% CP fed (kg)
|
| N_Mineralised |
— |
Soil_C_loss*soil_NC_frac |
[Kg N] The amount of N released from SOC mineralisation - Calculated
|
| BioC_Actual_Primecattle |
41420.645579093 |
kg_Primecattle*DM_Livecattle*CC_Livecattle |
The actual amount of biogenic carbon which should be allocated Prime cattle in kg C.
|
| PUR_Bulls_WT |
670.0 |
— |
(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).
|
| ATMOS_N2O |
65.174 |
— |
(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 |
27938.171840000003 |
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)
|
| AF_Hay |
-0.7 |
— |
(2,2,2,2,1,na) - Acid factor for hay (kMol/kg) based on (Slatery et al.).
|
| All_Pro_CulledBreeders |
31.27402369073552 |
Pro_CulledBreeders/Pro_Total*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Culled Breeders based on protein requirement (%)
|
| All_Weaners_Mass |
— |
kg_Weaners/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Weaner cattle (%)
|
| 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).
|
| 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).
|
| CC_Molasses |
0.347 |
— |
(2,3,1,1,1,na) Carbon content of 0.42 as DM
|
| MAN_CH4 |
11090.597 |
— |
(2,1,1,1,1,na) kg Methane from manure. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| All_Pro_Weaners |
— |
Pro_Weaners/Pro_Total*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Weaners based on protein requirement (%)
|
| oat_yield |
100.0 |
— |
(1,1,1,1,1,na) Yield of grazing oats
|
| NAAR_Cattle |
118.73723032000001 |
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
|
| EN_Weaners |
— |
EN_lwt*1000*KG_Weaners |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of Weaners.
|
| CC_Wet_mix |
— |
— |
(2,3,1,1,1,na) Carbon content 0.0 of wet season mix
|
| P_CulledBreeders |
2.717 |
— |
(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.
|
| All_PrimeCattle_En |
68.72597630926448 |
En_PrimeCattle/Tot_En*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to PrimeCattle based on energy content (%)
|
| PR_fert |
1.0 |
— |
(1,1,1,1,1,na) - Proportion of grazed area fertilsed with single superphosphate
|
| All_PrimeCattle_Eco |
71.89647077963232 |
(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 |
744030277.6999999 |
EN_lwt*1000*KG_PrimeCattle |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of PrimeCattle.
|
| Hay |
37190.517 |
— |
(2,1,1,1,1,na) Total hay fed (kg)
|
| 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.
|
| ID_tags |
22350.075 |
Calves_weaned*ID_tag |
(2,1,1,1,1,na) 1.07 Uncertainty. Weight of ID tags total (g)
|
| Tot_En |
1082604158.8 |
En_CulledBreeders+En_PrimeCattle+En_Weaners |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of co-products.
|
| DeterminingProd |
240009.767 |
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.
|
| DMI |
8067702.862 |
— |
(2,1,1,1,1,na) kg Dry matter intake. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| CC_Protein_Pellets |
0.405 |
— |
(2,3,1,1,1,na) Carbon content of 0.5 as DM
|
| CC_Copra |
0.45 |
— |
(2,3,1,1,1,na) Carbon content of 0.5 as DM
|
| F_Gulf_of_Carpentaria_NT_and_QLD |
0.768 |
— |
Fraction of Gulf of Carpentaria, NT and QLD, AU catchment in livestock region.
|
| F_Lake_Eyre_NSW_QLD_NT_and_SA |
0.226 |
— |
Fraction of Lake Eyre, NSW, QLD, NT and SA, AU catchment in livestock region.
|
| DM_Cottonseed |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of cottonseed
|
| DU_N2O |
620.701 |
— |
(2,1,1,1,1,na) kg N2O from dung and urine. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| BioC_Products |
60269.271974692 |
Producttotal*DM_Livecattle*CC_Livecattle |
kg biogenic carbon in outputs of all products in the inventory before applying allocation
|
| Evap_water_loss |
0.053 |
— |
(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_Cottonseed |
— |
— |
(2,2,2,2,1,na) - Acid factor for cottonseed (kMol/kg) based on (Baldock et al. 2009).
|
| DM_Livecattle |
0.319 |
— |
(2,3,3,1,1,na) - Dry matter fraction of cattle
|
| EFN_Leach |
0.011 |
— |
(2,1,1,1,1,na) Emissions factor for proportion of N leached released as N2O.
|
| Cattle |
3157.847 |
— |
(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).
|
| 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_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 (%)
|
| KM_Molasses |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for molasses (km)
|
| AF_Molasses |
— |
— |
(2,2,2,2,1,na) - Acid factor for molasses (kMol/kg) based on (Baldock et al. 2009).
|
| Elec_use |
2114.024805 |
Elec*Cows |
(1,1,1,1,1,na) 1.05 Uncertainty. Whole farm electricity use (kWh)
|
| DM_Wet_mix |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of wet season mix
|
| All_Pro_PrimeCattle |
68.72597630926448 |
Pro_PrimeCattle/Pro_Total*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Prime Cattle based on protein requirement (%)
|
| Fuel_use |
647.313795 |
Fuel*Cows |
(1,1,1,1,1,na) 1.05 Uncertainty. Whole farm fuel use (L)
|
| N_LeachGW |
2076.749672 |
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).
|
| KM_Hay |
100.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for hay (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
|
| All_PrimeCattle_Mass |
68.72597630926448 |
kg_PrimeCattle/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Prime cattle (%)
|
| AF_Copra |
— |
— |
(2,2,2,2,1,na) - Acid factor for copra (kMol/kg) based on web search unspecifed sources.
|
| 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)
|
| BioC_CurrentAll_PrimeCattle |
43331.47951438157 |
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.
|
| DM_Dry_mix |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of dry season mix
|
| All_CulledBreeders_En |
31.27402369073552 |
En_CulledBreeders/Tot_En*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to CulledBreeders based on energy content (%)
|
| Anthelmintics |
3788.976 |
(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
|
| Cows |
1000.485 |
— |
(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).
|
| HA_GRAZING |
41313.351 |
— |
(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).
|
| TRANS_cattle |
720.6386 |
PUR_Bulls/1000*KM_Cattle |
(2,1,1,1,1,na) 2 Uncertainty. Livestock transport for purchased cattle (t.km).
|
| Wet_mix |
— |
— |
(2,1,1,1,1,na) Total wet season lick (kg)
|
| DAM_CH4_HA |
0.033 |
— |
(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).
|
| Elec |
2.113 |
— |
(1,1,1,1,1,na) Electricity (kWh/Cow mated) calculated from economic data reported in farm survey data from ABARES for 2018-2022 (https://www.agriculture.gov.au/abares/data/farm-data-portal).
|
| PUR_Bulls |
6551.26 |
PUR_Bulls_WT*PUR_Bulls_NO |
(2,1,1,1,1,na) 1.07 Uncertainty. Total liveweight of replacement bulls purchased each year (kg)
|
| DM_Copra |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of copra
|
| F_Burdekin_River_QLD |
0.006 |
— |
Fraction of Burdekin River, QLD, AU catchment in livestock region.
|
| BioC_Pasture_nett |
180639.14002840203 |
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.
|
| 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.
|
| BioC_as_CH4_emissions |
134591.53993725003 |
(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)
|
| 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).
|
| KM_Lick |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for dry and wet season lick (km)
|