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In sub-humid regions, declining maize (Zea mays L.) yield is majorly attributed to unreliable rainfall and high evapotranspiration demand during critical growth stages. However, there are limited farm technologies for conserving soil water and increasing water use efficiency (WUE) in rainfed production systems amidst a changing climate. This study aimed at assessing the performance of different climate smart agriculture (CSA) practices, such as mulching and permanent planting basins (PPB), on maize growth, yield, water use efficiency and soil moisture storage. Field experiments involving mulches of 2 cm (M_2 cm), 4 cm (M_4 cm) and 6 cm (M_6 cm) thickness, permanent planting basins of 20 cm (PPB_20 cm) and 30 cm (PPB_30 cm) depths and the control/or conventional treatments were conducted for three maize growing seasons in the sub-humid climate of Western Uganda. Results indicate that maize biomass significantly increased under the tested CSA practices in the study area. Use of permanent planting basins relatively increased maize grain yield (11–66%) and water use efficiency (33–94%) compared to the conventional practice. Additionally, plots treated with mulch achieved an increase in grain yield (18–65%) and WUE (28–85%) relative to the control. Soil amendment with M_4 cm and M_6 cm significantly increased soil moisture storage compared to permanent planting basins and the conventional practice. Overall, the results highlight the positive impact of CSA practices on improving maize yield and water use efficiency in rainfed agriculture production systems which dominate the sub-humid regions.

Climate Smart Agriculture (CSA) practices play a crucial role in enhancing agricultural resilience. However, there is a need for a more comprehensive exploration of their specific impact on maize productivity under future climate change scenarios. While previous studies focused mainly on CSA effects on crop yield, a broader investigation is needed encompassing factors like water use efficiency, soil water content, and crop evapotranspiration. This study addresses this gap, aiming to assess the effects of diverse CSA practices on maize productivity in mid-western Uganda under Representative Concentration Pathways (RCPs) 4.5 and 8.5 for mid-century (2040–2069) and end-century (2070–2099) climate change scenarios. Seven CSA treatments, including conventional practice, half-moon pits, permanent planting basins of 20 cm and 30 cm depth, mulches of 2 cm, 4 cm, and 6 cm thicknesses, were assessed using the AquaCrop model and field experiments. The results reveal substantial increases in maize grain yield (25–228%) and water use efficiency (1–53%) due to future CSA practices under projected climate change conditions, highlighting the potential for long-term sustainability. Also, specific CSA treatments exhibited notable effects on maize productivity under varying climate change scenarios, addressing critical knowledge gaps and guiding the optimal utilization of CSA practices for improved maize productivity. This research offers valuable insights for policymakers and practitioners, emphasizing the importance of prioritizing and tailoring CSA interventions for sustainable maize production in the face of progressive climate change.

Crop models are crucial in assessing the reliability and sustainability of soil water conservation practices. The AquaCrop model was tested and validated for maize productivity under the selected climate smart agriculture (CSA) practices in the rainfed production systems. The model was validated using final biomass (B) and grain yield (GY) data from field experiments involving seven CSA practices (halfmoon pits, 2 cm thick mulch, 4 cm thick mulch, 6 cm thick mulch, 20 cm deep permanent planting basins (PPB), and 30 cm deep) and the control (conventional practice) where no CSA was applied. Statistics for coefficient of determination (R2), Percent bias (Pbias), and Nash–Sutcliffe (E) for B and GY indicate that the AquaCrop model was robust to predict crop yield and biomass as illustrated by the value of R2 > 0.80, Pbias −1.52–1.25% and E > 0.68 for all the CSA practices studied. The relative changes between the actual and simulated water use efficiency (WUE) of grain yield was observed in most of the CSA practices. However, measured WUE was seemingly better in the 2 cm thick mulch, indicating a potential for water saving and yield improvement. Therefore, the AquaCrop model is recommended as a reliable tool for assessing the effectiveness of the selected CSA practices for sustainable and improved maize production; although, the limitations in severely low soil moisture conditions and water stressed environments should be further investigated considering variations in agroecological zones.

Climate change is a serious threat to the livelihoods of rural communities, particularly in mountainous areas because they are very sensitive to such changes. In this study, we assessed the household determinants to climate change adaptation drawing from a case study of agricultural adaptation in the Mount Rwenzori area of South Western Uganda. The study identified the major adaptation practices that are adopted by farmers to cope with the impacts of climate change and using available on-farm technologies. A total of 143 smallholder farmers were sampled and interviewed using field based questionnaires, field observations, and key informant interviews. Data was cleaned, entered and analysed using SPSS and Stata software for descriptive statistics. Thereafter, a Multinomial logistic regression model was used to assess the drivers of farmers’ choice for adaptation practices, factors influencing the choice of adaptation, and barriers. The major adaptation practices that were identified included; use of different crop varieties, tree planting, soil and water conservation, early and late planting, and furrow irrigation. Discrete choice model results indicated the age of the household head, experience in farming, household size, climate change shocks, land size, use of agricultural inputs, landscape position (location), and crop yield varied significantly (p > 0.05), which influenced farmers’ choice of climate change adaptation practices. The main barriers to adaptation included inadequate information on adaptation methods and financial constraints, leading us to conclude that contextual adaptation practices are more desirable for adoption to farmers. Adapting to climate change needs support from government and other stakeholders, however the implementation is more successful when appropriate and suitable choices are employed.

Background Improved understanding of the influence of climate variability on eating habits is required to manage health outcomes that could be produced. Agriculture production is the main source of income to people in Rufiji district, where communities produce food for household and also for income. Effects of climate variability and weather extremes include occurrence of floods and prolonged dry seasons, which are recently reported to be very frequent in Africa continent, affecting food production. Prolonged dry seasons as well as frequent floods have been reported to destroy cultivated food crops in Rufiji district. However, there is little evidence on climate variability effects on household food security and their eating habits in Tanzania. Therefore, this study assessed the influence of climate variability impacts such as prolonged dry seasons and floods on the eating habits of Tanzanian rural households. Results Study findings showed that respondents recognized changes in seasonal trends such as rainfall pattern and increase in temperature in the area. Drought and floods reduce food production and cause shortages in households. Low and poor harvest of food crops is the major contributing factor in their farms of rice and maize, the main staple food crops grown amidst prolonged dry seasons. They reported existence of household food shortage which was not there 10 years ago. Participants developed adaptation mechanisms that included reducing food quantity, eating of new meals which were not eaten before as a main meal such as cooked unripe mangoes and stiff porridge. Household members decided to change eating habits as an adaptation strategy to the situation of food shortage. Some discussants acknowledged reducing number of meals, eating two meals a day instead of three or four as it was 10 years ago. Conclusion Climate variability has led to reduced amount of annual rainfall, thus affecting food productivity and consequently food shortages and changes in dietary habits among the people in Rufiji. Additional research is warranted to assess the impacts of climate variability on nutritional quality of meals.