
Improve Animal Management
System: Beef Cattle
Mainly applicable for: Farms with poor technical results and poor sanitary conditions. More potential on suckler farms with reproduction than in fattening farms.
Description
Improving the health and growth rate of fattening animals, and health and reproduction of the breeding stock, by improving animal feeding, health management (incl. veterinary services), reproductive management, and genetic selection. The improvements in animal management will reduce mortality and morbidity rates, improve growth rate, and improve reproductive performance and longevity of the breeding stock. The optimum age at slaughter for greenhouse gas emission reduction depends on the breed and farm management situation.
Mechanism of effect
Improving health and growth rate, reducing mortality, and optimizing reproductive performance can reduce greenhouse gas emissions per kg meat by avoiding wasting resources and improving production efficiency. Healthier animals show higher growth rates, better fertility and less mortality, leading to more efficient use of resources and lower GHG emissions per kg of meat produced. None-productive animals, such as the breeding overhead and animal that died, contribute to the total emissions from the system through emissions from enteric fermentation, manure, housing, and production of consumed feed resources. Therefore, reducing mortality and improving reproductive performance reduce emissions per kg meat produced, due to less breeding overhead and resource use per finished fattening animal. Earlier slaughter reduces emissions per kg meat due to a shorter lifetime (fewer days emitting) and a better feed conversion rate in earlier growth stages.
Reference situation
Average farm
Legend
| ● – Small effect (<5%) | o – No effect |
| ●● – Medium effect (5-20%) | ● – Unfavourable effect |
| ●●● – Large effect (>20%) | ● – ● – Variable effect (depending on farm characteristics or way/level of implementation) |
Effect on total greenhouse gas (GHG) emissions
| Mean effect and range in kg CO2-equivalents | per kg product | ||
| Mean | Mean | Level of evidence | |
| Reduce mortality | ●● | ● | Medium |
| Reduce slaughter age | ●● | ● | Medium |
| Reduce calving interval (breeding cow) | ●● | ●● | Medium |
| Optimize age at first calving (breeding cow) | ●● | ●● | Low |
Effect per emission source
| Mean effect on emission from | Manure | Animal | Feed and forage production | Barn & farm inputs | |||
| CH4 | N2O | CH4 | CO2 | N2O | LUC | CO2 | |
| Reduce mortality | ● | ● | ● | ● | ● | N/A | ● |
| Reduce slaughter age | ●● | ●● | ●● | ● | ● | N/A | ● |
| Reduce calving interval (breeding cow) | ● | ● | ● | ● | ● | N/A | ● |
| Optimize age at first calving (breeding cow) | ●● | ●● | ●● | ●● | ●● | N/A | ● |
*risk of an adverse effect (see ’cause of variable or unfavourable effect’)
Explanation of variable effect
Reduce mortality
The effect depends on the extend of reduction, hence the mortality rate in the old and new situation.
Reduce slaughter age
The effect depends on the extend of reduction in age of slaughter, and the way it is realized. For example, if realized through changes in the feed ration, the effect depends on the carbon footprint of the feed ration in the old and new situation.
Reduce calving interval (breeding cow)
The effect depends on the extend of reduction in calving interval, and the way it is realized. For example, if realized through changes in the feed ration, the effect depends on the carbon footprint of the feed ration in the old and new situation.
Optimize age at first calving (breeding cow)
The effect depends on the extend of reduction in age at first calving, and the way it is realized. For example, if realized through changes in the feed ration, the effect depends on the carbon footprint of the feed ration in the old and new situation.
| Literature references | Reduce mortality |
|---|---|
| O’Brien et al., 2020 | LIFE BEEF CARBON: a common framework for quantifying grass and corn based beef farms’ carbon footprints |
| Samsonstuen et al., 2020 | Mitigation of greenhouse gas emissions from beef cattle production systems |
| Quinton et al., 2018 | Prediction of effects of beef selection indexes on greenhouse gas emissions |
| Reduce slaughter age | |
|---|---|
| Samsonstuen et al., 2020 | Mitigation of greenhouse gas emissions from beef cattle production systems |
| Sabia et al., 2024 | Effect of slaughter age on environmental efficiency on beef cattle in marginal area including soil carbon sequestration: A case of study in Italian Alpine area |
| Murphy et al., 2017 | An economic and greenhouse gas emissions evaluation of pasture-based dairy calf-to-beef production systems |
| Optimize calving interval (breeding cow) | |
|---|---|
| O’Brien et al., 2020 | LIFE BEEF CARBON: a common framework for quantifying grass and corn based beef farms’ carbon footprints |
| Samsonstuen et al., 2020 | Mitigation of greenhouse gas emissions from beef cattle production systems |
| Quinton et al., 2018 | Prediction of effects of beef selection indexes on greenhouse gas emissions |
| Optimize age at first calving (breeding cow) | |
|---|---|
| O’Brien et al., 2020 | LIFE BEEF CARBON: a common framework for quantifying grass and corn based beef farms’ carbon footprints |
| Nguyen et al., 2013 | Effect of farming practices for greenhouse gas mitigation and subsequent alternative land use on environmental impacts of beef cattle production systems |
| Abreu et al., 2022 | Effect of reduced age at first calving and an increased weaning rate on CO2 equivalent emissions in a cow-calf system |