CONTEXT Livestock systems, particularly dairy cow systems, are increasingly required to achieve high levels of environmental sustainability and animal welfare simultaneously, driven by evolving consumer demand and policymaker actions. OBJECTIVE This study aimed to evaluate the association between main environmental impact categories, based on Life Cycle Assessment (LCA) approach, and scores of animal welfare (AW) parameters, based on the official Italian protocol of welfare assessment. METHODS Data originated from 231 farms enrolled in the Parmigiano Reggiano Consortium. Each farm was visited to collect data for LCA and scores of AW parameters involving management (MAN), structure and equipment (SAE), and animal-based measures (ABM), combined to produce 0 to 100 scores. Impact categories were global warming (with – GWP, and without – GWPLUC, land use change), acidification (AP) and eutrophication (EP) potentials, cumulative energy demand (CED) and land occupation (LO). One kg of fat- and protein-corrected milk and 1 m 2 of land area were used as functional units (FU). The aforementioned impact values were analysed with a linear model to test the fixed effects of MAN, SAE and ABM residues (3 classes, 85th percentiles), obtained from a preliminary analysis intended to remove the influence of collinearity between and within farm characteristics and FUs. RESULTS AND CONCLUSIONS For 1 kg FPCM, impacts averaged 1. 57 kg CO 2 -eq (GWP), 1. 69 kg CO 2 -eq (GWPLUC), 29 g SO 2 -eq (AP), 12 g PO 4 -eq (EP), 7. 6 MJ (CED) and 1. 8 m 2 /y (LO), whereas per 1 m 2 of land area resulted in 0. 87 kg CO 2 -eq (GWP), 0. 94 kg CO 2 -eq (GWPLUC), 15. 9 g SO 2 -eq (AP), 6. 3 g PO 4 -eq (EP), 4. 2 MJ (CED). The animal welfare parameters averaged 78 (MAN and ABM) and 70 (SAE). The GWP, AP, EP and LO per kg milk showed decreasing values moving from worst to the best class of MAN, whereas GWPLUC tenderly increased. The SAE parameter affected only the on-farm AP and EP per m 2, with lowest values at intermediate class. A similar pattern was shown by GWP, EP and CED per kg milk with respect to ABM parameter. SIGNIFICANCE: Results suggest exploitable synergies between impacts and animal welfare score parameters, in particular related to management area, useful to help farmers, advisors and policymakers to increase the global sustainability of the dairy supply chains. • Relationships between LCA-based impacts and scores of animal welfare (AW) were studied. • Five impact categories considered with milk- and area-based functional units (FU). • Analyses accounted for collinearity between and within farm characteristics and FU. • Few associations, mostly with mitigating direction, found between LCA and AW values. • Improving both welfare and environmental sustainability seems feasible.
Berton et al. (Thu,) studied this question.