Evaluates diet and economics affecting greenhouse gas emissions in U.S. dairy farming, suggesting regional strategies for sustainability.
Complete reproducibility package for a study linking regionally resolved, diet-based greenhouse gas emission metrics with regional U.S. dairy farm economic indicators. Includes: Python source code reproducing all correlation analyses, sensitivity analyses, tables, and figures for nine matched U.S. dairy production regions (2020); The final merged regional analytical dataset and the state-to-region crosswalk used to construct it; Full documentation (codebook, data description with variable-level provenance, reproducibility checklist, and a step-by-step replication guide). The study evaluates associations between regional dry matter intake, dietary fiber (neutral detergent fiber, acid detergent fiber, and derived hemicellulose) concentration, and greenhouse gas emission intensity on one hand, and regional farm economic indicators (feed cost, operating cost, herd scale, and per-cow production value) on the other, using nonparametric rank correlation, bootstrap confidence intervals, and leave-one-out sensitivity analysis. This package is organized around the study itself rather than any single journal submission, so that it remains valid regardless of the eventual publication venue or manuscript title.
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Tosun et al. (2026) studied this question.
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