Background: Adolescent girls living in disaster-prone coastal regions of Bangladesh face heightened nutritional vulnerability due to limited food access, poor dietary diversity, and environmental stressors. Despite growing concerns about adolescent malnutrition, few studies have examined the combined influence of food security, dietary diversity, and age on nutritional outcomes in these settings. Objectives: This study aimed to assess the association between dietary diversity, food security, and age with the nutritional status of adolescent girls in coastal Bangladesh. Methods: A cross-sectional survey was conducted among 345 adolescent girls aged 10–19 in Chattogram and Cox’s Bazar. Data on dietary intake were collected using a 24-hour dietary recall and a food frequency questionnaire. Household food security was assessed using a validated scale. Nutritional status was determined using BMI-for-age classifications. Bivariate and multivariate analyses explored associations between dietary diversity, food security, age, and nutritional status. Results: Among participants, 10.14% were underweight, and 29.85% were either overweight or obese. While 17.39% demonstrated high dietary diversity (≥7 food groups), the majority had moderate diversity (5 or 6 food groups) (59.42%). Food-insecure households were significantly more likely to have overweight or obese adolescents (p < 0.05). Although dietary diversity was associated with BMI in bivariate analysis, it was not a significant predictor in the multivariate model. Age showed a significant relationship with both dietary diversity and nutritional status. Conclusion: The findings emphasize the importance of addressing household food security and age-related nutritional vulnerabilities in coastal areas. Interventions should prioritize age-sensitive, culturally appropriate strategies to improve dietary quality and prevent the double burden of malnutrition among adolescent girls.

Background: Food security and dietary diversity are essential determinants of maternal health, particularly among pregnant women in refugee populations who face heightened vulnerabilities due to displacement and inadequate living conditions. This study examines the impact of food security on dietary diversity and nutritional intake among pregnant Rohingya women residing in the makeshift camps of Ukhiya, Cox’s Bazar. Methods: A descriptive cross-sectional study was conducted among 96 pregnant Rohingya women from June to September 2022. Data were collected using structured questionnaires assessing socio-demographic characteristics, food security, and dietary diversity. Food security was evaluated using the Household Food Insecurity Access Scale (HFIAS), while dietary diversity was assessed through a 24-hour dietary recall and a 7-day food frequency questionnaire. Data were analyzed using SPSS (Version 26) and Stata (Version 13), employing descriptive statistics and chi-square tests to examine associations. Results: Most participants (57.3%) were food secure, and 85.4% demonstrated high dietary diversity, consuming seven or more food groups. However, 21.9% of households experienced severe food insecurity, highlighting ongoing challenges in food access. The highest consumption was observed for starch, flesh foods, dark green leafy vegetables, and vitamin A-rich fruits and vegetables (99.0%), while dairy products (69.8%) and organ meat (34.4%) were consumed less frequently. Despite high dietary diversity, severe food insecurity persists, indicating gaps in food assistance programs. Conclusions: While food support programs appear to contribute to high dietary diversity among pregnant Rohingya women, severe food insecurity remains a significant concern. Strengthening food security interventions, improving access to diverse nutrient-rich foods, and integrating sustainable food assistance models are essential to addressing these challenges. Future research should explore long-term strategies to enhance food security and assess the impact of targeted nutritional interventions on maternal health outcomes in refugee settings.

The price of grains like maize and sorghum is subject to significant fluctuations, which can have a significant impact on a country's economy and food security. The aim of the study is to model sorghum and maize price volatility in Nigeria. The data utilized in the study was extracted from World Bank Commodity Price Data (WBCPD), 2022. The data consists of monthly prices in nominal US dollars for maize and sorghum from January 1960 – August 2022. The Autoregressive Conditional Heteroskedasticity (ARCH) and Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models were utilized for capturing the two-grain price volatility. Two types of conditional heteroscedastic models exist, the first group uses exact functions to control the evolution of , while the second group describes with stochastic equations. It is inferred from the result that inherent uncertainties and fluctuations existed in the prices of maize and sorghum in Nigeria which implies that the price volatility is positive and statistically significant suggesting that historical information and past shocks play a crucial role in determining the volatility observed in the grains. It is recommended that the ARCH, GARCH, EGARCH, TGARCH, PARCH, CGARCH, and IGARCH models should be employed for modeling and managing the volatility of maize and sorghum prices in Nigeria. These models have shown effectiveness in capturing different aspects of volatility, including the impact of past shocks, conditional volatility, asymmetry, and other relevant factors.

Smallholder farmers play a pivotal role in global food security; however, they remain exceptionally vulnerable to the impacts of climate change due to their reliance on natural resources and limited adaptive capacities. This narrative review synthesizes a wide range of global sources to explore the intersection of smallholder agriculture and climate adaptation strategies. The review examines adaptation practices, agroecological methods, and the adoption of climate-resilient crop varieties. It reveals that the implementation of these strategies is frequently hindered by systemic barriers such as financial constraints, limited technological access, and institutional inefficiencies. Recognizing that previous studies have addressed isolated aspects of adaptation or relied on secondary data, this review highlights research gaps and offers a comprehensive synthesis of relevant literature. This review uses a narrative synthesis model suitable for integrating evidence from agronomy, economics, and social science to capture the complex challenges faced by smallholder farmers. The review emphasizes the importance of policy frameworks and participatory approaches that empower smallholder communities. This review synthesizes current evidence to inform potential directions for targeted interventions and future field-based studies, while recognizing the limitations of relying on secondary data. These recommendations aim to facilitate integrated policy reforms and drive research initiatives, ultimately strengthening the resilience and adaptability of smallholder agriculture in the face of ongoing climate change.

The study aimed to assess the impact of off-season vegetable farming on farmers in the Savelugu Municipality in the Northern Region. The study population consisted of all respondents to off-season vegetable farming in the Savelugu Municipality in the five selected communities in the Northern Region. A purposive sampling technique was used for a sample size of fifty (50) off-season farmers in the selected communities. An interview guide and questionnaire were used to solicit data to conclude the findings. The data derived from the questionnaire were analysed in a step-by-step thematic analysis that included reading the transcriptions several times, coding, generating codes, and reviewing and naming themes. Afterwards, the questionnaire and interview guide responses were transferred into Microsoft Excel under assigned variable names. Descriptive statistics, namely frequency, means, and percentages, were used to analyse the data. Off-season vegetable production technology can be gained by using different agro-climatic regions, maintaining or adjusting planting time, selecting varieties, and creating artificial and controlled environments through tunnels, polytene houses, glass houses, hotbeds, etc. Moreover, Off-Season vegetables helped earn income and ranked highest with an overall mean score of 1. Nearly all the trained farmers said their primary constraint was the high incidence of pests and diseases. It is evident that off-season cultivation is profitable and significantly impacts the farmers' consumption expenditure and food security status. Therefore, providing improved and modern agricultural inputs to off-season farmers is essential for rural agricultural development.

There is an ongoing debate regarding how to feed Sub-Saharan Africa's fast rising population in the long run, as well as the implications for food security. To maintain food security, various strategies have been recommended, including a focus on the significance of diversifying and improving people's diets. Proposals have been tabled elsewhere with a primary focus on enhancing agricultural inputs and technology adoption in order to increase agricultural production and productivity, hence strengthening food security. The current opinion piece attempts to contribute to this debate by examining smallholder agriculture and its role to African food security. This discussion proposes a future paradigm shift toward a gendered climate-smart smallholder agriculture and food production and security conceptual framework based on the promotion and development of smallholder agriculture and food production and security. Therefore, it's predicated that the micro-livestock-centered approach can remodel smallholder agrarian households and communities toward a gender-inclusive global climate change adaptive smallholder agriculture to strengthen production, supply, and food security in Sub-Saharan Africa. For Africa, today’s predicament is to ensure food security for the anticipated rapid population expansion, while on the other hand handling an overall net adverse effect of worldwide global climate change, and increased socio-economic ills associated with gender inequality in smallholder agriculture and ensuring long-term agriculture sustainable development. The failure to address gender inequality in smallholder agriculture and food production and pontificate of global climate change effect has thrown Sub-Saharan Africa into a state of perpetual food scarcity and insecurity because of low agricultural productivity and food supply, and by force of circumstances exposing the agricultural communities and its people to extreme poverty and nutrition and food insecurity. Therefore, it's predicated that the micro-livestock-centered approach can remodel smallholder agrarian households and communities toward a gender-inclusive global climate change adaptive smallholder agriculture to strengthen production, supply, and food security in Sub-Saharan Africa. For this purpose, this discussion proposes a future paradigm shift towards a gendered climate-smart smallholder agriculture and food production and security conceptual framework hinged on the promotion and development of the micro-livestock and/or unconventional animal species sub-sector to strengthen food security on the continent. Overall, the discussion emphasizes the importance of taking immediate action to alleviate the negative effects of climate change and address gender inequality through promotion of micro livestock to assist in the development of long-term adaptation measures to maintain smallholder agricultural productivity.

The study aimed at determination of the effect of intercropping maize and beans on the maize yields Isingiro Town Council, Isingiro District, South Western Uganda. The study used a randomized complete block (RCBD) experiment in which 8 treatments in 4 replicas of each to make a total of 32 sub-plots. Two rows of maize spaced at 4.5cm within rows and 90cm between rows were intercropped with two rows of velvet beans spaced at 30cm with rows and 90cm between rows. Two rows of NABE16 spaced at 4.5cm within rows and 75cm between rows were intercropped with maize a pacing of 5.5cm within rows and 75cm between rows. Rows of beans were separated from those of maize by 75cm in a 10m by 8m sub-plot. The experiment was conducted in two seasons (March to May 2020 and August to November 2021). Standard agronomical practices were followed from planting to harvesting, after which dry maize grain weight was taken and recorded. Data analysis was done using ONE WAY ANOVA in STATA version 13. Results show that the significant statistical difference in season one (p = 0.0000)** was higher than that in season two (p = 0.0211)*. The study concluded that unpredictable (too much or too little) rainfall negatively affects maize productivity. Early planting and application of organic fertilizers were recommended to improve maize productivity.

One of the current issues facing humanity is ensuring sustained global food security in the face of devastating effects of climate change; this challenge is particularly pressing on the African continent. Here, I present an opinion piece identifying local animal genetic resources as "African leverage point" that provide the highest chances to cushion rural fork to climate change, enhance environmental sustainability and food security in Africa. When it comes to boosting food production, coping with climate change, or bolstering the delivery of a wide range of ecosystem services, I believe that African animal genetic resources are essential alternatives for the sustainable growth of the livestock industry and its contribution to food security. Africa needs to address the support and development of indigenous animal genetic resources in order to meet the basic food needs of more than 1 billion people, address numerous environmental issues with continental implications, and focus on more effective and resilient food systems with the greatest impact on food security. The indigenous animal resources diversity and support actions to this unique group could provide a boost in protein that is lacking to constitute healthy diets in Africa. The priorities of nonprofit organizations, foundations, governments, citizens' groups, and companies can be influenced by this leverage point in the African food system. Due to continuous food insecurity, which appears to be becoming worse with climate change and makes it even harder to accomplish the SDGs on the continent, Africa has paid a hefty price for being misled about the worth of its own animal genetic resources. To the contrary, it is highly improbable that a strategy to improve food security and rural livelihoods that undermines the utilization of indigenous animal genetic resources will be viable in long-term. If Africa makes an effort, is committed, and fully commits resources to putting indigenous animal genetic resources at the forefront of combating food insecurity and accelerating the achievement of SDGs, it can achieve more under the adverse prevailing climate change induce environmental conditions. Our personal opinion is that we would not have had the ongoing food problems, even in the face of climate change, if Africa had over the years implemented the necessary mechanisms to develop and promote local animal genetic resources. What lies ahead in terms of climate change effect on food security in Africa is anyone's guess – but whatever it is, promoting continental adapted indigenous animal genetic resources portfolio is ready to handle it. Development and promotion of African animal genetic resources should be part of a continental strategy to transform smallholder animal production by 2050, in line with the goals of achieving the SGDs, to improve rural household food security, and bringing rural economy prosperity, resilience, sustainability, and all other desired animal related food outcomes for rural healthy diets. African animal genetic resources are the most important but underutilized resource to address the issue of ongoing food insecurity. The responsible use of local animal genetic resources through climate smart animal husbandry practices also contributes to food security, rural development and increased employment opportunities. African genetic improvement programs involving indigenous animal genetic resources must be considered as regards to local agriculture and livestock development aspirations, appropriateness to local reality and livelihood security, as well as environmental friendliness. Animal agriculture will fill in the enormous gaps in the continent's food supply if this animal group receives adequate attention and is used integrated properly in crop and livestock systems which characterize smallholder farming sector in Africa. Because they have evolved over time to accommodate the various climatic conditions and environmental pressures on the continent, Africa's native animal genetic resources are particularly resilient. Indirectly, the impact of climate change offers a chance to use native animal genetics from Africa. The use of local animal genetic diversity has the potential to substantially improve Africa's food security landscape hence should be given special consideration for sociocultural, environmental, and economic aspects, and with regard for smallholder farmer-specific factors of interest. African animal genetic resources have contributed significantly to the food and nutrition security aspects of the millions of people in their communities of origin and custody in Africa. The purpose of the perception piece is to educate the reader about the fundamental mechanisms that control the use of continental animal genetic resources and how the outlook for these mechanisms can be manipulated in the future for the benefit of improving food security in Africa. The discussion provides in-depth insight into the pertinent literature in understanding the significance of local animal genetic resources in terms of their contribution to food security in Africa.

Water is essential for food security and animal agricultural productivity, but it is becoming more scarce due to climate change. The interaction between climate change and livestock water resources has received little attention from researchers, despite the significance of small-scale animal husbandry for the rural poor in Africa and the size of the changes that are anticipated to have an impact on smallholder livestock systems. Threats to livestock water are undoubtedly one of the most significant environmental issues that have impacted food security on the continent, given their links to small-scale animal husbandry and the detrimental impacts on productivity. In order to balance the negative effects of climate change scenarios for sustainable animal productivity and contribute to food security through small-scale animal agriculture, the most climate-smart and resilient agricultural water practices and technologies must be used. Changes in rainfall and a decline in the biomass available for grazing and rangelands as a result of water stress brought on by the climate would have the most severe effects. This is due to the rain-fed nature of small-scale livestock farming. The local animal genetic resources are essential for animal productivity and food security in Africa, particularly in areas where livestock water is becoming scarce owing to climate change. Research and development goals on the effects of climate change on livestock water, animal productivity, and food security may need to be reviewed if demands of vulnerable small-scale animal producers are to be successfully addressed in the future decades. It is best to use an interdisciplinary approach to comprehend the relationships between small-scale animal husbandry, food security, and climate change. By navigating the complexities of climate adaptation, small-scale livestock farmers can manage livestock water scarcity by taking adaptation measures that are in line with evolving climate impacts and associated means of implementation based on pertinent and useful knowledge that takes into account a blend of traditional and modern water science. In this paper, an effort is made to close some significant information gaps and shed light on how water-induced stress impacts small-scale animal production, which has an effect on food security.

Estimation of crop water requirements is of paramount importance towards the management of agricultural water resources, which is a major mitigating strategy against the effects of climate change on food security. South Africa water shortage poses a threat on agricultural efficiency. Since irrigation uses about 60% of the fresh water available, it therefore becomes important to optimise the use of irrigation water in order to maximize crop yield at the farm level in order to avoid wastage. In this study, combined application of an artificial neural network (ANN) and a crop – growth simulation model for the estimation of crop irrigation water requirements and the irrigation scheduling of potatoes at Winterton irrigation scheme, South Africa was investigated. The crop-water demand from planting to harvest date, when to irrigate, the optimum stage in the drying cycle when to apply water and the amount of irrigation water to be applied per time, were estimated in this study. Five feed –forward backward propagation artificial neural network predictive models were developed with varied number of neurons and hidden layers and evaluated. The optimal ANN model, which has 5 inputs, 5 neurons, 1 hidden layer and 1 output was used to predict monthly reference evapotranspiration (ETo) in the Winterton area. The optimal ANN model produced a root-mean-square error (RMSE) of 0.67, Pearson correlation coefficient (r) of 0.97 and coefficient of determination (R²) of 0.94. The validation of the model between the measured and predicted ET_o shows a r value of 0.9048. The predicted ETo was one of the input variables into a crop growth simulation model, called CROPWAT. The results indicated that the total crop water requirement was 1259.2 mm/decade and net irrigation water requirement was 1276.9 mm/decade, spread over a 5-day irrigation time during the entire 140 days of cropping season for potatoes. A combination of the artificial neural networks and the crop growth simulation models have proved to be a robust technique for estimating crop irrigation water requirements in the face of limited or no daily meteorological datasets.

The study aimed at examining farmers’ perceptions on the impacts of climate change on food crops and the farming practices that contribute to climate change (CC) in Bibiani – Ahwiaso – Bekwai municipality of Western North Region of Ghana. Qualitative and quantitative methods were used for this study. The population of the study consisted of the number of households in six communities (Hwenampori, Wenchi, Tanoso, Awaso-Asempanaye, Kunkumso, and Sefwi Bekwai), officials from MoFA, GMA, and heads of households who are food crop farmers from the study area. Simple random and purposive sampling techniques were used to select respondents for the study. 231 respondents were selected and contacted for information to aid them in the study. The main instruments for data collection were the administration of questionnaires to farmers, organization of focus group discussions with key informants, the use of structured interview guides on MoFA directorates and direct observation of some farms. The primary and secondary data were sourced mainly from household heads from the study communities who are in the production of maize, cassava, and plantain. Pearson Chi-Square and Cross-tabulation of the IBM SPSS Version 20 were also used in performing descriptive statistical analysis. The study revealed that the output of maize, cassava, and plantain have all proved to be negatively impacted by changes in rainfall and temperature patterns with a more significant impact observed from maize responses to temperature. The study also indicated that the impact of climate change may affect the crops at any stage of the production process right from the land preparation to the maturity stage of crops but the more profound effect is observed at fruit development and maturation stages. The study indicated that changes in temperature affect crop yield, especially during the fruit/seed development stage. The study revealed that most farmers (about 92.2%) have observed climate change in the study area and indicated events like unpredictable rainfall patterns, excessively high temperatures and strong winds. It is recommended that capacity building and awareness creation should be enhanced by GMA and MoFA through the media to ensure that communication about climate change and food security is meaningful. This means that education on diversification of farming methods has not been enough if there is any at all in the area. Awareness creation, therefore, allows people to make informed and responsible decisions toward sustainable farming practices which will lead to food security and also environmental sustainability.