Variation in carbon footprint of milk due to management differences between Swedish dairy farms

被引:61
|
作者
Henriksson, M. [1 ]
Flysjo, A. [2 ,3 ]
Cederberg, C. [4 ]
Swensson, C. [1 ,5 ]
机构
[1] Swedish Univ Agr Sci, Dept Rural Bldg & Anim Husb, SE-23053 Alnarp, Sweden
[2] Arla Foods Amba, DK-8260 Vibj J, Denmark
[3] Aarhus Univ, Dept Agroecol & Environm, DK-8830 Tjele, Denmark
[4] SIK Swedish Inst Food & Biotechnol, SE-40229 Gothenburg, Sweden
[5] Swedish Dairy Assoc, SE-22363 Lund, Sweden
关键词
Monte Carlo analysis; life-cycle assessment; greenhouse gases; feed efficiency; production parameters; GREENHOUSE-GAS EMISSIONS; ENVIRONMENTAL-IMPACT; CLIMATE-CHANGE; UNCERTAINTY; EFFICIENCY; METHANE;
D O I
10.1017/S1751731111000437
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
To identify mitigation options to reduce greenhouse gas (GHG) emissions from milk production (i.e. the carbon footprint (CF) of milk), this study examined the variation in GHG emissions among dairy farms using data from previous CF studies on Swedish milk. Variations between farms in these production data, which were found to have a strong influence on milk CF, were obtained from existing databases of 1051 dairy farms in Sweden in 2005. Monte Carlo (MC) analysis was used to analyse the impact of variations in seven important parameters on milk CF concerning milk yield (energy-corrected milk (ECM) produced and delivered), feed dry matter intake (DMI), enteric CH4 emissions, N content in feed DMI, N-fertiliser rate and diesel used on farm. The largest between-farm variations among the analysed production data were N-fertiliser rate (kg/ha) and diesel used (l/ha) on farm (CV=31% to 38%). For the parameters concerning milk yield and feed DMI, the CV was approximately 11% and 8%, respectively. The smallest variation in production data was found for N content in feed DMI. According to the MC analysis, these variations in production data led to a variation in milk CF of between 0.94 and 1.33 kg CO2 equivalents (CO(2)e)/kg ECM, with an average value of 1.13 kg CO(2)e/kg ECM. We consider that this variation of +/-17%, which was found to be based on the used farm data, would be even greater if all Swedish dairy farms were included, as the sample of farms in this study was not totally unbiased. The variation identified in milk CF indicates that a potential exists to reduce GHG emissions from milk production on both the national and farm levels through changes in management. As milk yield and feed DMI are two of the most influential parameters for milk CF, feed conversion efficiency (i.e. units ECM produced/unit DMI) can be used as a rough key performance indicator for predicting CF reductions. However, it must be borne in mind that feeds have different CF due to where and how they are produced.
引用
收藏
页码:1474 / 1484
页数:11
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