advisory tool
Description
This dataset contains information collected during field visits to outdoor dairy farms, using a structured advisory tool specifically designed and evaluated to diagnose and monitor dairy heifer replacement programs. The dataset includes: 1. Process Timing: Detailed records of the time required for each stage of the advisory process, including presentation of the tool, data collection, on-site observation, scoring, and discussion with the farmer. 2. Diagnostic Scores: Individual item scores and total scores for each thematic area of the advisory tool, reflecting the performance and status of replacement practices on each farm. 3. Farmer Perceptions: Responses to a structured questionnaire assessing the clarity, length, and perceived usefulness of the advisory tool. It also captures farmers’ views on the feasibility of implementing suggested changes and their willingness to do so. The data reveal considerable variability in both the diagnostic scores and the time required for implementation across farms, underscoring the importance of tailoring advisory strategies to individual farm contexts. Farmer feedback highlighted the value of the tool in identifying areas for improvement, although perceptions of feasibility and willingness to change varied depending on prior experience and farm conditions. This dataset can be used to analyze patterns in advisory engagement, evaluate the effectiveness of structured tools in promoting management changes, and explore relationships between farm characteristics and responsiveness to advice. Researchers and practitioners can use this data to refine advisory approaches, develop training programs, or conduct comparative studies across regions or production systems. Data were gathered through direct interaction with farmers during scheduled visits. The advisory tool was applied consistently across farms, and all observations and responses were recorded in real time. The questionnaire was administered after the advisory session to capture fresh impressions.
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Funding
National Agricultural Technology Institute
2023-PD-L01-I118