| 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).
|
| ID_tag |
25.0 |
— |
(2,1,1,1,1,na) Weight of plastic ID tag individual (g)
|
| MAN_CH4 |
698.189 |
— |
(2,1,1,1,1,na) kg Methane from manure. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| 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.
|
| CC_Protein_Pellets |
0.405 |
— |
(2,3,1,1,1,na) Carbon content of 0.5 as DM
|
| AF_Protein_Pellets |
— |
— |
(2,2,2,2,1,na) - Acid factor for protein pellets (kMol/kg) based on (Baldock et al. 2009).
|
| AF_Cattle |
0.34 |
— |
(2,2,2,2,1,na) - Acid factor for red meat (kMol/kg) based on (Slattery et al.).
|
| DM_Molasses |
0.825 |
— |
(2,3,3,1,1,na) - Dry matter fraction of molasses
|
| 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).
|
| ID_tagbad |
25.0 |
— |
(2,1,1,1,1,na) Was listed as Total drinking water intake (L/year)
|
| DU_N2O |
45.653 |
— |
(2,1,1,1,1,na) kg N2O from dung and urine. Calculated using GAFF Beef and Sheep based on 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.).
|
| Hay |
3217.435 |
— |
(2,1,1,1,1,na) Total hay fed (kg)
|
| CC_Hay |
0.4 |
— |
(2,3,1,1,1,na) Carbon content of 0.4 as DM, NIR 2023 (DCCEEW 2025)
|
| 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)
|
| DM_Livecattle |
0.319 |
— |
(2,3,3,1,1,na) - Dry matter fraction of cattle
|
| TotN_LeachGW |
1726.485 |
— |
(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)
|
| 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).
|
| 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.
|
| 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. (%)
|
| 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).
|
| DM_Hay |
0.88 |
— |
(2,3,3,1,1,na) - Dry matter fraction of hay
|
| 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
|
| KM_Cottonseed |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for cottonseed (km)
|
| 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.
|
| 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).
|
| 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.
|
| DM_Cottonseed |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of cottonseed
|
| 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. (%)
|
| All_PrimeCattle_Mass |
5.564733170102904 |
kg_PrimeCattle/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Prime cattle (%)
|
| N_LeachGW |
1707.493665 |
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_Copra |
600.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for copra (km)
|
| 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 (%)
|
| KM_Lick |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for dry and wet season lick (km)
|
| 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)
|
| 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
|
| 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
|
| KM_Molasses |
400.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for molasses (km)
|
| 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 (%)
|
| DAM_CH4_HA |
1.674 |
— |
(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).
|
| 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
|
| EN_PrimeCattle |
4830274.3 |
EN_lwt*1000*KG_PrimeCattle |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of PrimeCattle.
|
| Tot_P_fert |
4400.389999999999 |
P_fert*HA_Grazing*PR_fert |
(2,1,1,1,1,na) 1.07 Uncertainty. Total fertiliser applied as single superphosphate (kg)
|
| 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.
|
| 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).
|
| 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)
|
| Elec_use |
191.14696 |
Elec*Cows |
(1,1,1,1,1,na) 1.05 Uncertainty. Whole farm electricity use (kWh)
|
| 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).
|
| BioC_Pasture_nett |
13204.597271482002 |
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.
|
| DAM_CH4 |
736.625286 |
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_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
|
| 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.
|
| Evap_water_loss |
0.125 |
— |
(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.
|
| EN_Weaners |
50830842.599999994 |
EN_lwt*1000*KG_Weaners |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of Weaners.
|
| Allocation |
1.0 |
— |
Allocation switch, 1 = Economic alocation (default for AusLCI), 2 = Energy allocation, 3 = Mass allocation, 4 = Protein Allocation.
|
| Vaccine_vol |
2.0 |
— |
(2,1,1,1,1,na) Volume of individual vaccine (ml)
|
| 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_loss |
— |
— |
(2,1,1,1,1,na) Change in Soil Orgnic Carbon t C/ha/year in 0-30cm layer
|
| Sorghum_graz |
— |
— |
(2,1,1,1,1,na) Total area of forage sorghum grazed (ha)
|
| EN_CulledBreeders |
31140426.900000002 |
En_lwt*1000*KG_CulledBreeders |
(2,1,1,1,1,na) 1.07 Uncertainty. Total calorific value (kcal) of VulledBreeders.
|
| Wet_mix |
— |
— |
(2,1,1,1,1,na) Total wet season lick (kg)
|
| P_PrimeCattle |
4.16 |
— |
(1,1,1,1,1,na) Average price for Young Cattle Indicator (Eastern and Western) and National Feeder Steer ($/kg live weight sold) from MLA https://www.mla.com/prices-markets/statistics/ for 5 year period 2019 - 2024.
|
| N_Mineralised |
— |
Soil_C_loss*soil_NC_frac |
[Kg N] The amount of N released from SOC mineralisation - Calculated
|
| Cottonseed |
— |
— |
(2,1,1,1,1,na) Total cottonseed fed (kg)
|
| P_CulledBreeders |
2.76 |
— |
(1,1,1,1,1,na) Average price for National Processor Cow Indicator ($/kg live weight sold) from MLA https://www.mla.com/prices-markets/statistics/ for 5 year period 2019 - 2024.
|
| DMI |
550914.991 |
— |
(2,1,1,1,1,na) kg Dry matter intake. Calculated using GAFF Beef and Sheep based on NIR 2023 (DCCEEW 2025)
|
| KM_Protein_pellets |
600.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for protein_pellets (km)
|
| Water |
1867306.714 |
— |
(2,1,1,1,1,na) Total drinking water intake (L/year)
|
| 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).
|
| 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).
|
| DM_Dry_mix |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of dry season mix
|
| 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_En |
5.564733170102904 |
En_PrimeCattle/Tot_En*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Allocation to PrimeCattle based on energy content (%)
|
| KM_fuel |
300.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for fuel to farm (km)
|
| 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).
|
| 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. -
|
| oat_yield |
100.0 |
— |
(1,1,1,1,1,na) Yield of grazing oats
|
| 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).
|
| Evap_water_loss_T |
55.004875 |
Evap_water_loss*HA_GRAZING |
(1,1,1,1,1,na) 1.05 Uncertainty. Total evaporative water loss from farm dams (ML/year)
|
| ENT_CH4 |
11403.94 |
— |
(2,1,1,1,1,na) kg Methane from enteric fermentation. 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.
|
| AF_Copra |
— |
— |
(2,2,2,2,1,na) - Acid factor for copra (kMol/kg) based on web search unspecifed sources.
|
| DM_Copra |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of copra
|
| KM_Hay |
100.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for hay (km)
|
| BioC_Products |
4832.297944342001 |
Producttotal*DM_Livecattle*CC_Livecattle |
kg biogenic carbon in outputs of all products in the inventory before applying allocation
|
| CC_Dry_mix |
— |
— |
(2,3,1,1,1,na) Carbon content 0.0 of dry 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.
|
| Fuel_use |
64.54832 |
Fuel*Cows |
(1,1,1,1,1,na) 1.05 Uncertainty. Whole farm fuel use (L)
|
| Oats_graz |
20.0 |
— |
(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.)
|
| F_NE_Coast_other_than_Burd_Fitz_QLD |
— |
— |
Fraction of NE Coast other than Burd., Fitz.,..., QLD, AU catchment in livestock region.
|
| 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
|
| 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)
|
| AF_Cottonseed |
— |
— |
(2,2,2,2,1,na) - Acid factor for cottonseed (kMol/kg) based on (Baldock et al. 2009).
|
| 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).
|
| 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 |
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. (%)
|
| TotalTkmRoad |
2056.6744766399997 |
(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.
|
| 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 (%)
|
| CC_Copra |
0.45 |
— |
(2,3,1,1,1,na) Carbon content of 0.5 as DM
|
| TRANS_cattle |
79.18239999999999 |
PUR_Bulls/1000*KM_Cattle |
(2,1,1,1,1,na) 2 Uncertainty. Livestock transport for purchased cattle (t.km).
|
| HA_GRAZING |
440.039 |
— |
(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).
|
| 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
|
| CC_Molasses |
0.347 |
— |
(2,3,1,1,1,na) Carbon content of 0.42 as DM
|
| 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.
|
| DM_Protein_Pellets |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of protein pellets
|
| AF_Molasses |
— |
— |
(2,2,2,2,1,na) - Acid factor for molasses (kMol/kg) based on (Baldock et al. 2009).
|
| 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).
|
| 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
|
| Molasses |
— |
— |
(2,1,1,1,1,na) Total molasses fed (kg)
|
| ID_tags |
2298.175 |
Calves_weaned*ID_tag |
(2,1,1,1,1,na) 1.07 Uncertainty. Weight of ID tags total (g)
|
| All_CulledBreeders_Mass |
35.875429786998794 |
kg_CulledBreeders/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Culled cattle (%)
|
| 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_as_CH4_emissions |
9629.0657145 |
(Ent_CH4+Man_CH4+Dam_Ch4)*12/16 |
kg biogenic carbon emitted as methane from various sources.
|
| 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.
|
| 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.
|
| CC_Wet_mix |
— |
— |
(2,3,1,1,1,na) Carbon content 0.0 of wet season mix
|
| Protein_Pellets |
— |
— |
(2,1,1,1,1,na) Total protein pellets 20% CP fed (kg)
|
| DM_Wet_mix |
0.9 |
— |
(2,3,3,1,1,na) - Dry matter fraction of wet season mix
|
| All_Weaners_Mass |
58.5598370428983 |
kg_Weaners/ProductTotal*100 |
(2,1,1,1,1,na) 1.07 Uncertainty. Mass allocation fraction for Weaner cattle (%)
|
| 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 (%)
|
| 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.
|
| 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 (%)
|
| 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)
|
| 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 (%)
|
| LEACH_N2O |
29.844 |
— |
(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.
|
| 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)
|
| F_South_East_Coast_NSW_VIC_and_SA |
1.0 |
— |
Fraction of South East Coast, NSW, VIC and SA, AU catchment in livestock region.
|
| 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.
|
| 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).
|
| KM_fert |
200.0 |
— |
(3,1,1,1,1,na) Estimate of transport distance for fertiliser to farm (km)
|
| Copra |
— |
— |
(2,1,1,1,1,na) Total copra meal fed (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 (%)
|
| 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).
|
| Dry_mix |
2096.467 |
— |
(2,1,1,1,1,na) Total dry season lick (kg)
|
| 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).
|
| EFN_mineral |
0.004 |
— |
(1,3,2,1,1,na) - [kgN2O-N/kgN] emission factor for N emissions from mineralisations - 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)
|
| PR_fert |
1.0 |
— |
(1,1,1,1,1,na) - Proportion of grazed area fertilsed with single superphosphate
|
| 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).
|
| 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)
|