Applied Agricultural Research Portfolio
Quantitative analysis, modeling, and scenario assessment in agriculture, climate risk, and production systems.
This portfolio showcases preliminary research investigations into agricultural systems, climate risk, and production efficiency. Each project is structured around a research question, an analytical methodology, and insights that could inform deeper academic inquiry or policy evaluation. The intent is to demonstrate rigorous data interpretation and analysis, quantitative modeling, and evidence synthesis.
This study analyzes Zambia’s soya bean export performance, comparing export destinations, prices, and local market returns to assess feasibility and profitability for farmers and agribusinesses.
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This study evaluates how rainfall variability influences maize yield across ten provinces of Zambia. The analysis tests whether total seasonal rainfall explains yield variation, or whether provincial differences and rainfall patterns provide stronger explanatory value.
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This project examines how key production factors (feed costs, mortality, weight gain) influence profitability in broiler systems within the Zambian context.
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This study identifies which agricultural mitigation strategies are most implementable within Article 6 frameworks, accounting for data, monitoring, cost, and institutional constraints in Zambia.
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This research assesses how herd health factors (disease incidence, somatic cell counts, culling) affect milk yield and economic performance in commercial dairy systems.
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This project evaluates the relationship between environmental efficiency measures (CO₂ footprint, nitrogen use efficiency, feed conversion) and financial performance in Western European dairy and beef systems.
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Assesses financial and operational risks in vertically integrated agribusiness.
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Analyzes equipment utilization and cost per tonne for large-scale grain farms.
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Evaluates water use efficiency and marginal yield on irrigated fruit and vegetable farms.
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Assesses feed conversion and optimal slaughter timing for commercial beef operations.
View FindingsFor inquiries about methodology, findings, or potential collaboration:
📞 +260961743210
📧 shimangam@yahoo.co.uk