Helmut Hoffmann

TL;DR: The environmental impact (GHG emissions) of increasing milk yield per cow in dairy farming differs, depending upon the considered system boundaries, handling and value of co-products and the assumed ratio of milk to beef demand to be satisfied.

TL;DR: In this article, the authors developed a stochastic model to estimate the robustness of predictions based on input parameters (GHG emission factors and production traits) and their uncertainties and explored how sensitive predictions of GHG emissions are to three factors: (1) system boundaries of the emission model, (2) the uncertainty of input parameters due to quality of data or methodological choices (epistemic uncertainty) and (3) inherent variability in input parameters(variability uncertainty).

TL;DR: In this article, the authors investigated six low-input livestock systems of grassland management with varying degrees of arrangements in different European countries and landscapes, including reindeer husbandry in Northern Sapmi (Fennoscandia), cattle grazing in the Polish Tatra mountains, cattle, sheep, and pig grazing in Southern Portugal, and sedentary sheep grazing in Central Spain.

TL;DR: In this paper, the authors compared greenhouse gas emissions, land use and beef output per kg of fat and protein corrected milk (FPCM) of German dairy farms using a life cycle approach and determined the relative importance of parameters explaining variation of GHG emissions, beef and land use outcomes.

TL;DR: Using the nonparametric method of Data Envelopment Analysis (DEA), this article calculated the economic as well as the environmental efficiencies of farms and examined whether farms are able to succeed in combining environmental and economic efficiency.