Volta

Meta‐Analysis Constrained by Data: Recommendations to Improve Relevance of Nutrient Management Research

Unknown authors · 2017
hash_id: 47c6e7c95c345ff10e0e28a07dbe90ce30332c0de1e8f76d966b9dbd7d85ff85 · DOI: 10.2134/agronj2017.04.0215

Core Ideas Data and reporting deficiencies reduce the effectiveness of agri‐environmental meta‐analysis. Standardization and consistency across studies will enhance data synthesis and meta‐analysis. Reporting standard sets of data and meta‐data will extend the value of agricultural field research. Five research teams identified parallel obstacles when concurrently attempting to conduct meta‐analyses on the air and water quality impacts of on‐farm 4R nutrient management practices. Across projects, system complexity and the lack of relevant data from cultivated and grassland agriculture field trials impeded the application of standard meta‐analytical procedures. Because challenges were comparable across projects, the 4R Research Fund technical leadership tasked the researchers with recommending improvements in field research design, data collection, and reporting to enhance future agri‐environmental data syntheses and …

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