Milk carbon footprint of silvopastoral dairy systems in the Northern Peruvian Amazon

The objective of this study was to estimate the carbon footprint (CF) of milk production (in kg of CO 2 equivalents (CO 2 e) per kg of fat and protein corrected milk (FPCM)) in dairy farms of the San Martín region, in the Peruvian Amazon. A cradle-to-farm gate characterization and analysis were carr...

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Veröffentlicht in:Tropical animal health and production 2022-08, Vol.54 (4), p.227-227, Article 227
Hauptverfasser: Ruiz-Llontop, Deysi, Velarde-Guillén, José, Fuentes, Eduardo, Prudencio, Melisa, Gómez, Carlos
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Sprache:eng
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Zusammenfassung:The objective of this study was to estimate the carbon footprint (CF) of milk production (in kg of CO 2 equivalents (CO 2 e) per kg of fat and protein corrected milk (FPCM)) in dairy farms of the San Martín region, in the Peruvian Amazon. A cradle-to-farm gate characterization and analysis were carried out on eight representative dairy farms. Greenhouse gas (GHG) emissions were estimated using equations, following the 2019 refinement of the 2006 IPCC Guidelines. The results showed an average milk production of 9.7 ± 0.82 L milk/cow/day, Gyr x Holstein crosses as the predominant breed, use of cultivated grasses such as Brachiaria brizantha , living fences ( Guazuma ulmifolia Lam) as the predominant silvopastoral arrangement, and low level of external inputs such as feed or grain additives. In relation to CF, an average value of 2.26 ± 0.49 kg CO 2 e/kg FPCM was obtained, with enteric fermentation being the most important source (1.81 ± 0.51 kg CO 2 e/kg FPCM), followed by manure management, land use, and energy/transport (0.26 ± 0.06, 0.14 ± 0.04, and 0.05 ± 0.04 kg CO 2 e/kg FPCM, respectively). Differences were found between farmers, obtaining lower CF values (1.76 vs 3.09 kg CO 2 e/kg FPCM) on farms with better feed quality, higher production levels, and a higher percentage of lactating animals compared to dry cows. It is concluded that dairy farms in the Peruvian Amazon region can reduce their emissions if they improve their current feeding practices.
ISSN:0049-4747
1573-7438
DOI:10.1007/s11250-022-03224-5