Body mass | Conversion (%) | Conversion (%) | Protein | |
---|---|---|---|---|
Product | LW1 | LW- CW (HSCW)2 | CW-heCW3 | Kg/LW |
Beef | 600 | 55 | 20 | 66 |
Pigs | 120 | 75 | 25 | 22.5 |
Poultry | 3 | 70 | 25 | 0.525 |
Feedstuff | Production | Dry Matter | Crude Protein | heFCE1 | Index | ||
---|---|---|---|---|---|---|---|
t/ha | % | g/kg DM | Kg/ha | CP % | Kg/ha | heFCE/ production | |
Barley | 6 | 8 | 125 | 750 | 80 | 600 | 0.10 |
Maize | 12 | 8 | 106 | 1272 | 80 | 1017.6 | 0.08 |
Wheat | 6 | 8 | 138 | 828 | 80 | 662.4 | 0.11 |
Soybeans | 4.5 | 90 | 404 | 1818 | 80 | 1454.4 | 0.32 |
Rapeseed meal | 2.8 | 8 | 406 | 1136.8 | 20 | 227.36 | 0.08 |
Soybeans meal | 1.8 | 90 | 513 | 923.4 | 80 | 738.72 | 0.41 |
Maize silage | 60 | 35 | 86 | 5160 | 0 | 0 | 0.00 |
Sunflower meal | 2.5 | 8 | 410 | 1025 | 80 | 820 | 033 |
Food | Conversion Ratio1 | Grain2 | Forage2 | Emission Kg CO2 | Energy Kcal | Water use m3 | Land use m2 |
---|---|---|---|---|---|---|---|
1 liter of milk or Kg | 14 | 3 | 0.83 | 2.4 | 420 | 1.02 | 40 |
poultry 1 kg of meat | 4 | 2.3 | - | 3-5 | 2390 | 4.525 | 70 |
1 kg meat of pig | 14 | 5.9 | - | 5-8 | 2690 | 5.99 | 110 |
1 kg meat of beef | 40 | 13 | 30 | 28-32 | 2500 | 17 | 1640 |
1 kg of maize | 3500 | 1.22 |
Year | |||||||||
---|---|---|---|---|---|---|---|---|---|
Item | 2010 | 2020 | 2030 | 2050 | CAGR1 | ||||
% | % | % | % | ||||||
Human population | 6.90 | 7.67 | 8.31 | 9.15 | 0.71 | 0.71 | |||
Meat consumption: | |||||||||
Pig | 102.30 | 38.07 | 115.30 | 36.11 | 129.90 | 34.11 | 140.70 | 30.34 | 0.80 |
Poultry | 85.90 | 31.97 | 111.00 | 34.76 | 143.50 | 37.68 | 193.30 | 41.68 | 2.05 |
Bovine | 67.30 | 25.05 | 77.30 | 24.21 | 88.90 | 23.35 | 106.30 | 22.92 | 1.15 |
Sheep/Goat | 13.20 | 4.91 | 15.70 | 4.92 | 18.50 | 4.86 | 23.50 | 5.07 | 1.45 |
Total meat | 268.70 | 100 | 319.30 | 100 | 380.80 | 100 | 473.80 | 100 | 1.37 |
Impact categories | Environmental indicators |
---|---|
Consumption of non-renewable resources | Fossil fuels |
Fertilizers-NPK | |
Greenhouse effect | CO2, CH4, N2O |
Fertility and soil function | Accumulation of heavy metals |
NH3, NOx, SO2 | |
Water quality (ground and surface water) | N-fertilizers, nutrient balance, nitrate leaching |
Fertilizer, P budget, P drainage | |
Human and environmental toxicity | Herbicides and antibiotics, nitrates |
NH3, PM10, PM2.5 | |
Biodiversity | Number of species, breeds and varieties |
Landscape | Pastoral activities, variety of environments |
Animal welfare | Structures, reproduction, health care |
Others | Smells, noises, ozone layer, etc. |
Average (g/Kg edible product) | Range (g/Kg edible product) | |
---|---|---|
Milk (cows) | 34 | 33.3 -34 |
Beef | 200 | 185-209 |
Pigs | 182 | 150-220 |
Poultry | 201 | 190-212 |
Eggs | 125 | 120-130 |
- weather information systems |
- recording systems and microclimate control, animal housing, air quality, water quality - lighting and photoperiod control systems |
- bioacoustics |
- automatic forage analysis systems: in the field, at harvesting or during the storage (including biomass temperature detection systems, e.g. |
- integrated systems for intelligent feed preparation and distribution (e.g. corrections based on NIR analysis) - automated forage transfer systems |
- feeding / nursing robots |
- physical-chemical quality control systems for distributed feeds |
- control systems / estimation of food intake |
- food digestibility estimation systems |
- control of emissions |
- activity detection meters (pedometers, activometers, collars, earphones) |
- biomarkers in milk (somatic cell count, conductivity, lactate dehydrogenase) - calving alert detectors (vaginal temperature) |
- rumen function (rumen bolus (temperature, pH, drinking) - position location (GPS) |
-Boby condition score (BCS) (using 3D imaging) |
- individual/quarter production detection (including milk flow registration) - diagnostic breast detection (color, conductivity, enzymes, California Mastitis Test (CMT), somatic cells (UV fluorescence), thermography) |
- macro-component detection (fat, protein, lactose) (Near Infrared, NIR) |
- nutritional diagnostic detection (urea, ketone bodies) |
- reproductive diagnostics (progesterone) |
- milking robot |
- manure cleaning robot |
- manure analysis systems |
- emission recordings |
- energy consumption control systems |
- work organization and company operational time recording |
- integrated warehouse management systems |
-integration with transformation phases |
- integration of company information with other operators in the supply chain |
- big data management, statistical processing and analysis, information generation within decision support systems (DSS) |
- use of information for monitoring, management or genetic improvement of production animals |
Species | Body Weight | Performance | Dry Matter intake | Forage/ concentrate | Edible fraction | Edible Protein (EP) | Protein Edible Yield (EPY) | HEPY |
---|---|---|---|---|---|---|---|---|
kg | Kg/d | Kg/d | %DM | %BW | g/kg | g/d | BW/g/kg d | |
1 | 2 | 3 | 4 | 5=4*CP% | 6=1*5*+95 | 7=6/1 | ||
Dairy cow | 600 | 30 | 29 | 2/7 | 95 | 34 | 969 | 1.615 |
Fattening veal | 250 | 1.2 | 7.4 | 4.65/2.76 | 50 | 328 | 196.8 | 0.7872 |
Pig | 120 | 0.6 | 0.37 | 65 | 120 | 36 | 0.3 | |
Broiler | 3 | 0.067 | 0.096 | 60 | 150 | 5.025 | 1.675 |