| 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
|
| 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
|
| MAN_CH4 |
6662.299 |
— |
(2,1,1,1,1,na) kg Methane from manure. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| ProductTotal |
167913.871 |
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)
|
| EFN_Leach |
0.011 |
— |
(2,1,1,1,1,na) Emissions factor for proportion of N leached released as N2O.
|
| KM_Molasses |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for molasses (km)
|
| AF_Copra |
— |
— |
(2,2,2,2,1,na) - Acid factor for copra (kMol/kg) based on web search unspecifed sources.
|
| oat_yield |
100.0 |
— |
(1,1,1,1,1,na) Yield of grazing oats
|
| TotN_LeachGW |
577.202 |
— |
(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)
|
| DM_Wet_mix |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of wet season mix
|
| DMI |
4621835.569 |
— |
(2,1,1,1,1,na) kg Dry matter intake. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| Soil_C_loss |
— |
— |
(2,1,1,1,1,na) Change in Soil Orgnic Carbon t C/ha/year in 0-30cm layer
|
| AF_Cottonseed |
— |
— |
(2,2,2,2,1,na) - Acid factor for cottonseed (kMol/kg) based on (Baldock et al. 2009).
|
| 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).
|
| Dry_mix |
3141.191 |
— |
(2,1,1,1,1,na) Total dry season lick (kg)
|
| BioC_Pasture_nett |
99070.537058909 |
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.
|
| KG_PrimeCattle |
133823.396 |
— |
(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_CulledBreeders_Eco |
12.958117249758994 |
(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
|
| HA_GRAZING |
157685.293 |
— |
(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).
|
| ID_tags |
16442.675 |
Calves_weaned*ID_tag |
(2,1,1,1,1,na) 1.07 Uncertainty. Weight of ID tags total (g)
|
| F_Moore_Hill_rivers_WA |
0.188 |
— |
Fraction of Moore Hill rivers, WA, AU catchment in livestock region.
|
| DM_Hay |
0.88 |
— |
(2,3,3,1,1,na) - Dry matter fraction of hay
|
| Pro_PrimeCattle |
10705.871680000002 |
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 |
-8.594709907999999 |
(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)
|
| BioC_all_Corr_Primecattle |
1707.5728168501955 |
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.
|
| ID_tag |
25.0 |
— |
(2,1,1,1,1,na) Weight of plastic ID tag individual (g)
|
| ENT_CH4 |
95671.996 |
— |
(2,1,1,1,1,na) kg Methane from enteric fermentation. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| Vaccine |
3315.816 |
(Cows+Calves_weaned)*Vaccine_vol |
(2,1,1,1,1,na) 1.07 Uncertainty. Vaccine administered for clostridial and reproductive diseases (ml).
|
| PUR_Bulls_NO |
8.461 |
— |
(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).
|
| Evap_water_loss_T |
17976.123402 |
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 |
1.4516711566429819 |
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. (%)
|
| PUR_Bulls_WT |
600.0 |
— |
(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).
|
| PUR_Bulls |
5076.6 |
PUR_Bulls_WT*PUR_Bulls_NO |
(2,1,1,1,1,na) 1.07 Uncertainty. Total liveweight of replacement bulls purchased each year (kg)
|
| All_PrimeCattle_Mass |
79.6976421322572 |
kg_PrimeCattle/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Prime cattle (%)
|
| DAM_CH4_HA |
0.002 |
— |
(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).
|
| All_PrimeCattle_En |
79.6976421322572 |
En_PrimeCattle/Tot_En*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to PrimeCattle based on energy content (%)
|
| BioC_all__corr_Weaners |
-21.28209478224602 |
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.
|
| 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
|
| KM_Lick |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for dry and wet season lick (km)
|
| 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).
|
| All_Weaners_En |
1.463770673239973 |
En_Weaners/Tot_En*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Weaners based on energy content (%)
|
| 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_Products |
28978.40794330901 |
Producttotal*DM_Livecattle*CC_Livecattle |
kg biogenic carbon in outputs of all products in the inventory before applying allocation
|
| EFN_mineral |
0.004 |
— |
(1,3,2,1,1,na) - [kgN2O-N/kgN] emission factor for N emissions from mineralisations - NIR 2023 (DCCEEW, 2025).
|
| F_North_Western_Plateau_WA_and_NT |
0.224 |
— |
Fraction of North Western Plateau, WA and NT, AU catchment in livestock region.
|
| BioC_Actual_Primecattle |
23095.107858284002 |
kg_Primecattle*DM_Livecattle*CC_Livecattle |
The actual amount of biogenic carbon which should be allocated Prime cattle in kg C.
|
| KM_Cattle |
110.0 |
— |
(1,1,1,1,1,na) Estimate of transport distance for purchased bulls (km). See Durr et al. 2010 at https://www.researchgate.net/publication/287990558_GIS_mapping_of_cattle_market_service_areas_using_the_National_Livestock_Identification_System_NLIS_-_Final_report
|
| AF_Protein_Pellets |
— |
— |
(2,2,2,2,1,na) - Acid factor for protein pellets (kMol/kg) based on (Baldock et al. 2009).
|
| Evap_water_loss |
0.114 |
— |
(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.
|
| 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
|
| DM_Copra |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of copra
|
| Fuel_use |
645.129645 |
Fuel*Cows |
(1,1,1,1,1,na) 1.05 Uncertainty. Whole farm fuel use (L)
|
| Oats_graz |
— |
— |
(2,1,1,1,1,na) Total area of forage oats grazed (ha)
|
| TotalTkmRoad |
5414.61907054 |
(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.
|
| BioC_CurrentAll_Weaners |
445.459531828246 |
(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.
|
| KM_Cottonseed |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for cottonseed (km)
|
| DM_Molasses |
0.825 |
— |
(2,3,3,1,1,na) - Dry matter fraction of molasses
|
| P_CulledBreeders |
2.594 |
— |
(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.
|
| Pro_CulledBreeders |
2530.60808 |
KG_CulledBreeders*PC_Lwt*EFF_P_Lwt |
(2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirement to produce Culled Breeders (kg)
|
| Pro_Weaners |
196.62992 |
KG_Weaners*PC_Lwt*EFF_P_Lwt |
(2,1,1,1,1,na) 1.07 Uncertainty. Total protein requirement to produce Weaners (kg)
|
| Calves_weaned |
657.707 |
— |
(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.)
|
| 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).
|
| Anthelmintics |
3315.816 |
(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
|
| All_PrimeCattle_Eco |
85.59021159359803 |
(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 (%)
|
| DM_Protein_Pellets |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of protein pellets
|
| 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
|
| KG_CulledBreeders |
31632.601 |
— |
(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_Mineralised |
— |
Soil_C_loss*soil_NC_frac |
[Kg N] The amount of N released from SOC mineralisation - Calculated
|
| Sorghum_graz |
— |
— |
(2,1,1,1,1,na) Total area of forage sorghum grazed (ha)
|
| LEACH_N2O |
9.977 |
— |
(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.
|
| PR_fert |
1.0 |
— |
(1,1,1,1,1,na) - Proportion of grazed area fertilsed with single superphosphate
|
| All_PrimeCattle |
85.59021159359803 |
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. (%)
|
| 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_Pro_Weaners |
1.463770673239973 |
Pro_Weaners/Pro_Total*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Weaners based on protein requirement (%)
|
| N_LeachGW |
570.852778 |
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).
|
| ATMOS_N2O |
34.949 |
— |
(2,1,1,1,1,na) kg N2O from N deposited from atmosphere. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| EN_PrimeCattle |
414852527.6 |
EN_lwt*1000*KG_PrimeCattle |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of PrimeCattle.
|
| DM_Livecattle |
0.319 |
— |
(2,3,3,1,1,na) - Dry matter fraction of cattle
|
| Cattle |
1654.476 |
— |
(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).
|
| Elec |
2.031 |
— |
(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).
|
| Vaccine_vol |
2.0 |
— |
(2,1,1,1,1,na) Volume of individual vaccine (ml)
|
| KM_Copra |
600.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for copra (km)
|
| F_South_Western_Plateau_WA |
0.269 |
— |
Fraction of South Western Plateau, WA, AU catchment in livestock region.
|
| CC_Wet_mix |
— |
— |
(2,3,1,1,1,na) Carbon content 0.0 of wet season mix
|
| BioC_CurrentAll_CulledBreeders |
3976.325366139916 |
(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.
|
| All_CulledBreeders_Mass |
18.838587194502825 |
kg_CulledBreeders/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Culled cattle (%)
|
| Allocation |
1.0 |
— |
Allocation switch, 1 = Economic alocation (default for AusLCI), 2 = Energy allocation, 3 = Mass allocation, 4 = Protein Allocation.
|
| Elec_use |
2031.4082310000001 |
Elec*Cows |
(1,1,1,1,1,na) 1.05 Uncertainty. Whole farm electricity use (kWh)
|
| Copra |
— |
— |
(2,1,1,1,1,na) Total copra meal fed (kg)
|
| P_fert |
— |
— |
(2,1,1,1,1,na) Fertiliser applied as single superphosphate 8.8% P (kg/ha/year). Breedcow Beef CRC templates (Holmes et al. 2011), Gross Margin publications ( New South Wales Department of Primary Industries 2023; Ag Excellence Alliance 2024).
|
| BioC_as_CH4_emissions |
76987.2491895 |
(Ent_CH4+Man_CH4+Dam_Ch4)*12/16 |
kg biogenic carbon emitted as methane from various sources.
|
| KM_fert |
200.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for fertiliser to farm (km)
|
| 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).
|
| AF_Cattle |
0.34 |
— |
(2,2,2,2,1,na) - Acid factor for red meat (kMol/kg) based on (Slattery et al.).
|
| CC_Dry_mix |
— |
— |
(2,3,1,1,1,na) Carbon content 0.0 of dry season mix
|
| BioC_all__corr_CulledBreeders |
1482.7972818390845 |
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.
|
| F_Timor_Sea_NT_and_WA |
0.113 |
— |
Fraction of Timor Sea, NT and WA, AU catchment in livestock region.
|
| Cottonseed |
— |
— |
(2,1,1,1,1,na) Total cottonseed fed (kg)
|
| AF_Molasses |
— |
— |
(2,2,2,2,1,na) - Acid factor for molasses (kMol/kg) based on (Baldock et al. 2009).
|
| EN_CulledBreeders |
98061063.1 |
En_lwt*1000*KG_CulledBreeders |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of VulledBreeders.
|
| 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. -
|
| Fuel |
0.645 |
— |
(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).
|
| CC_Hay |
0.4 |
— |
(2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
|
| All_CulledBreeders_En |
18.838587194502825 |
En_CulledBreeders/Tot_En*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to CulledBreeders based on energy content (%)
|
| EN_lwt |
3.1 |
— |
(1,1,2,1,2,na) - Calorific value (kcal/g) of live cattle at 54% dressing %. Sharma et al. 1972 and Navaja et al. 2010.
|
| All_Weaners_Mass |
1.463770673239973 |
kg_Weaners/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Weaner cattle (%)
|
| Tot_En |
520533000.1 |
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 |
18.838587194502825 |
Pro_CulledBreeders/Pro_Total*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Culled Breeders based on protein requirement (%)
|
| Hay |
12332.006 |
— |
(2,1,1,1,1,na) Total hay fed (kg)
|
| DeterminingProd |
133823.396 |
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.
|
| Protein_Pellets |
4603.949 |
— |
(2,1,1,1,1,na) Total protein pellets 20% CP fed (kg)
|
| BioC_inputs |
6895.1200739 |
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
|
| DU_N2O |
332.847 |
— |
(2,1,1,1,1,na) kg N2O from dung and urine. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| CC_Cottonseed |
0.45 |
— |
(2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
|
| TRANS_cattle |
558.426 |
PUR_Bulls/1000*KM_Cattle |
(2,1,1,1,1,na) 2 Uncertainty. Livestock transport for purchased cattle (t.km).
|
| 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).
|
| BioC_CurrentAll_PrimeCattle |
24802.680675134197 |
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.
|
| All_Pro_PrimeCattle |
79.6976421322572 |
Pro_PrimeCattle/Pro_Total*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to Prime Cattle based on protein requirement (%)
|
| KM_Protein_pellets |
600.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for protein_pellets (km)
|
| All_CulledBreeders |
12.958117249758994 |
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. (%)
|
| AF_Hay |
-0.7 |
— |
(2,2,2,2,1,na) - Acid factor for hay (kMol/kg) based on (Slatery et al.).
|
| Cows |
1000.201 |
— |
(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).
|
| P_PrimeCattle |
4.05 |
— |
(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_Weaners_Eco |
1.4516711566429819 |
(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 (%)
|
| DAM_CH4 |
315.370586 |
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)
|
| Pro_Total |
13433.109680000001 |
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)
|
| DM_Cottonseed |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of cottonseed
|
| F_Indian_Ocean_WA |
0.207 |
— |
Fraction of Indian Ocean, WA, AU catchment in livestock region.
|
| ID_tagbad |
25.0 |
— |
(2,1,1,1,1,na) Was listed as Total drinking water intake (L/year)
|
| KM_fuel |
300.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for fuel to farm (km)
|
| KG_Weaners |
2457.874 |
— |
(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).
|
| Molasses |
— |
— |
(2,1,1,1,1,na) Total molasses fed (kg)
|
| NAAR_Cattle |
57.09071614000001 |
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 |
5459.122647979 |
kg_Culledbreeders*DM_Livecattle*CC_Livecattle |
The actual amount of biogenic carbon which should be allocated culled breeders in kg C.
|
| CC_Molasses |
0.347 |
— |
(2,3,1,1,1,na) Carbon content of 0.42 as DM
|
| Water |
26605681.97 |
— |
(2,1,1,1,1,na) Total drinking water intake (L/year)
|
| Wet_mix |
— |
— |
(2,1,1,1,1,na) Total wet season lick (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_Dry_mix |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of dry season mix
|
| BioC_Actual_Weaners |
424.17743704599997 |
kg_Weaners*DM_Livecattle*CC_Livecattle |
The actual amount of biogenic carbon which should be allocated weaners in kg C.
|
| EN_Weaners |
7619409.399999999 |
EN_lwt*1000*KG_Weaners |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of Weaners.
|
| KM_Hay |
100.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for hay (km)
|