Centre for Sustainable Livelihoods - Doctoral Theses
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Item Mitigation of greenhouse gas emissions from dairy systems(University College Cork, 2025-12-08) Cantillon, Marion; Hennessey, Thia; Bradfield, Tracy; Tarim, Armagan; O’Brien, Donal; TeagascOne of the most significant challenges facing modern society is feeding the world's population while minimising agriculture's contribution to climate change. This challenge is particularly pronounced in dairy production, where products' carbon footprints and mitigation costs are high relative to those of other food products. The dairy sector is under growing pressure to lower greenhouse gas emissions while remaining economically viable. This thesis uses a farm-level optimisation model designed to assist farm managers in making strategic decisions regarding mitigation measures. Several mitigation measures are evaluated both individually and as groups of measures. The optimisation model is developed as part of a broader integrated internal modelling framework consisting of two existing Teagasc models: the Moorepark dairy systems model and the Dairy Life Cycle Assessment model. The framework is applied to data from Ireland through the National Farm Survey, split into top, middle and bottom representative farms from a profitability perspective. The mitigation measures modelled included animal productivity, grass production and utilisation, better reproductive performance, early compact calving, reduced crude protein, decreased fertiliser N, protected urea, white clover, slurry tank cover and low emission slurry spreading (LESS). Throughout the thesis, four scenarios are evaluated: the baseline scenario, a scenario with an emission ceiling, a scenario with an individual mitigation measure, and a scenario with two grouped mitigation measures (grassland grouped, animal productivity grouped). The results show that grassland management achieved the most significant emissions reduction while maintaining a net margin close to the baseline. Animal productivity achieved more modest emission reductions. Across all groups, both emission ceilings (10% and 25%) reduced net margin on the farm and were the least desirable measures when modelled. This thesis shows that mitigation measures can lower emissions while maintaining economic viability, offering a practical way to steer Ireland towards a more sustainable dairy sector.Item Integrating small/medium-scale producers into the cassava food value chain in Nigeria(University College Cork, 2018) Donkor, Emmanuel; Onakuse, Stephen; Bogue, Joseph; de los Ríos Carmenado, Ignacio; Erasmus+The issues of food insecurity, poverty and high-income inequality in developing countries pose a threat to global economic development. In developing countries, smallholder producers account for the highest proportion of food supply. However, the producers are the most vulnerable actors in the agrifood value chain, especially in the cassava food value chain in Nigeria. The cassava food value chain provides different business opportunities for the different actors: producers, processors and traders of processed cassava products. Nonetheless, smallholder producers are not effectively integrated into the cassava food value chain. The problem of integration limits producers' ability to benefit from premium prices emerging from the high-value market in the agri-food industry in Nigeria. The main objective of the study was to analyse the determinants of effective integration of small- and medium-scale producers into the cassava food value chain to improve their incomes in Nigeria. A mixed methods research approach that comprised quantitative and qualitative methods was used to generate primary datasets to achieve the set research objectives. The datasets were collected using structured questionnaires, focus group interviews and semi-structured interviews. The study sampled 621 value chain actors, which consisted of 400 cassava producers, 120 gari processors, 100 traders and 1 extension officer. Econometric approaches such as the Gini Coefficient, a Multinomial Logit Model, a Multivariate Linear Regression, a Probit Model and a Tobit Model were used to analyse the quantitative datasets whereas the qualitative datasets were analysed with the thematic analysis. The finding showed that there was high-income inequality among the actors in the cassava food value chain, especially with traders. This high inequality tended to be minimised by increasing cassava producers’ incomes in the food value chain. The selection of better marketing channels and participation in value-adding activities were the key determinants of integrating the producers into the food value chain. Producers’ choices of marketing channels were mainly influenced by a varying set of factors such as human capital, location, institutional and transactional factors. In addition, human capital, institutional and transactional factors were the key determinants of producers' participation in value-adding activities. The study concludes that besides raising producers’ income and narrowing the income gap, the effective integration of cassava producers into the agri-food value chain could contribute to reducing poverty, enhancing food security and strengthening the rural economy.
