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The potential impact of breeding strategies to reduce methane output from beef cattle
- Source :
- Animal Production Science. 59:1598
- Publication Year :
- 2019
- Publisher :
- CSIRO Publishing, 2019.
-
Abstract
- The present paper provides an indication (using selection index theory) of the contribution of genetics to a reduction in methane emissions through the current selection for productivity traits (defined as the inherent rate). This is then compared with potential new approaches that incorporate measurements or estimates of methane production as selection criteria. The predicted value of the inherent reduction in methane at a price (all costs and prices are in Australian dollars) of $25/t carbon dioxide equivalent (CO2-e; methane × 25) is $0.38/cow mated per year. The direct value of the estimated annual genetic gain in productivity (about $3/cow mated) is about eight times the value of the savings in methane. The value of the carbon savings doubles to ~$0.75 if methane yield (methane per unit feed intake) is included in the index. This is due to a reduction in methane emissions of 0.78% of the mean (1.20 kg methane/cow mated per year at a carbon cost of $25/t CO2-e) which increases to 1.0% at $50/t CO2-e. If selection is on methane alone, the annual response is ~1.45%, which is valued at $1.39 at a price of $25/t CO2-e. However, adoption is less than 100% at the breeder level, so that realised gains will be less than predicted here.
- Subjects :
- 0303 health sciences
Index (economics)
0402 animal and dairy science
chemistry.chemical_element
Carbon dioxide equivalent
04 agricultural and veterinary sciences
Beef cattle
040201 dairy & animal science
Methane
03 medical and health sciences
chemistry.chemical_compound
Animal science
chemistry
Genetic gain
Value (economics)
Environmental science
Animal Science and Zoology
Productivity
Carbon
030304 developmental biology
Food Science
Subjects
Details
- ISSN :
- 18360939
- Volume :
- 59
- Database :
- OpenAIRE
- Journal :
- Animal Production Science
- Accession number :
- edsair.doi...........c49707cddcbee90d31012bdee36bea7d
- Full Text :
- https://doi.org/10.1071/an18186