Abstract
A survey on 61 dairy farms in the Po Valley was carried out using an LCA approach to identify milk production's carbon footprint (CF) at the farm gate, with 1 kg of fat and protein corrected milk (FPCM) as a functional unit. Data were collected and grouped into five main categories: feed purchase, in farm feed production, energy & resources, enteric fermentation, and livestock manure. The CF calculation was conducted according to IPCC guidelines 2006. Dairy herds were classified into three groups according to quartiles for the number of lactating dairy cows: small (< 87), medium (between 87 and 270), and large herds (> 270). The overall CF was 1.19 kg CO2-eq kg−1 FPCM, and the major contribution was from enteric fermentation (43.3%), feed purchase (29.1%), and manure handling (14.6%). Small farms have shown a higher CF (1.35 kg CO2-eq kg−1 FPCM) than medium and large herds (1.13 kg CO2-eq kg−1 FPCM, on average). A Monte Carlo simulation analysis showed a high contribution to the variance of CF due to feed purchase, mainly from proteic extra EU and cereals. Results could help plan mitigation initiatives in less performing herds.
| Lingua originale | Inglese |
|---|---|
| pagine (da-a) | N/A-N/A |
| Rivista | Environmental Challenges |
| Volume | 2022 |
| DOI | |
| Stato di pubblicazione | Pubblicato - 2022 |
OSS delle Nazioni Unite
Questo processo contribuisce al raggiungimento dei seguenti obiettivi di sviluppo sostenibile
-
SDG 7 Energia pulita e accessibile
-
SDG 12 Consumo e produzione responsabili
-
SDG 13 Lotta contro il cambiamento climatico
Keywords
- Life Cycle Assessment
- Milk
Fingerprint
Entra nei temi di ricerca di 'Carbon footprint of raw milk for direct human consumption produced in Po Valley: Data input uncertainties and effect on output variance'. Insieme formano una fingerprint unica.Cita questo
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver