Adequate Food Supply Research Articles

Metabolic Flux Analysis to Increase Oil in Seeds.

Ensuring an adequate food supply and enough energy to sustainably support future global populations will require enhanced productivity from plants. Oilseeds can help address these needs; but the fatty acid composition of seed oils is not always optimal, and higher yields are required to meet growing demands. Quantitative approaches including metabolic flux analysis can provide insights on unexpected metabolism (i.e., when metabolism is different than in a textbook) and can be used to guide engineering efforts; however, as metabolism is context-specific, it changes with tissue type, local environment, and development. This review describes recent insights from metabolic flux analysis in oilseeds and indicates engineering opportunities based on emerging topics and developing technologies that will aid quantitative understanding of metabolism and enable efforts to produce more oil. We also suggest that investigating the key regulators of fatty acid biosynthesis, such as transcription factors, and exploring metabolic signals like phytohormones in greater depth through flux analysis, could open new pathways for advancing genetic engineering and breeding strategies to enhance oil crop production.

Health-related quality of life among refugees from Nagorno Karabagh resided in Kotayk, Armenia

Abstract Background In September 2023, more than 100,000 ethnic Armenians were displaced from Nagorno Karabakh (NK). This study assessed the health-related quality of life (HRQoL) and associated factors among NK refugees who settled in Kotayk province of Armenia. Methods We surveyed 197 refugees using a structured interviewer-administered questionnaire, which collected information about socio-demographics, chronic diseases, smoking status, HRQoL, utilization of healthcare services, living conditions and food access. The SF-36 Health Survey assessed HRQoL. Ophthalmic examination was conducted. Eyeglasses and medications were provided at no cost to those requiring them. Results The participants’ mean age was 64.8 years and 59.4% were retired. The most commonly reported chronic diseases were bone/joint diseases (67.5%), hypertension (55.3%) and heart diseases (24.9%). Around 48.7% of participants experienced sleeping disorders often/ very often. The mean total SF-36 score was 57.42±23.12; the mean physical (PHC) and mental health component (MHC) scores were 63.57±26.28 and 59.37±20.04, respectively. Only 28% of the participants utilized healthcare services after displacement. Most participants had consistent access to an adequate food supply. In the adjusted analysis age (B/PHC=-0.94, p < 0.001; B/MHC=-0.61, p < 0.001), sleeping disorder (B/PHC=-21.86, p = 0.011; B/MHC=-17.44, p = 0.001), use of medical service (B/PHC=-8.63, p = 0.022; B/MHC=-6.95; p = 0.015) and having more than one chronic disease (B/PHC=-17.35, p < 0.001; B/MHC=-10.90, p = 0.001) were associated with both PHC and MHC. Conclusions This study marks the first assessment of HRQoL among NK refugees. Governmental support and interventions targeting individuals with ophthalmic, sleeping, and chronic diseases might be beneficial. Follow-up assessments should track changes in both physical and mental health scores in this population, as they may fluctuate over time in response to displacement challenges. Key messages • Age, sleeping disorder, use of medical service, and the number of chronic diseases were significantly associated with decreased PHC and MHC of HRQoL • Interventions targeting individuals with restricted access to healthcare services, as well as those affected by eye diseases and chronic health issues might be beneficial.

Effects of Rainfall Variability on Maize Production in Migori County, Kenya

Maize is the main staple food crop in Kenya and is of vital concern to agricultural policy decisions, food security, and the overall development of the sector and the economy. It is also the dominant staple food crop in Migori-County. However, there has been a declining trend in maize production among farmers in the study area threatening household food security. This study was conducted in Migori County using cross sectional survey research design. A sample size of 384 households was selected through stratified and systematic sampling techniques though just 310 households accepted to be interviewed. Data was collected using a structured questionnaire. Validated secondary weather data for the period 2011-2023 was obtained from the Migori Meteorological Station. The collected data was entered into SPSS software, version 20, and analysed using both descriptive and inferential statistical methods. The results indicated that 60% of households have an adequate food supply, while 40% face food shortages. Further, there was a strong positive and significant relationship between maize production (yield) and annual weather conditions from 2018 to 2023 (r = 0.845, p = 0.05). This indicates that changes in weather patterns, such as rainfall and temperature, had a significant influence on maize yields during the study period. Hence, farmers should be encouraged to use income from cash crops to purchase food stocks and engage in non-farm activities as alternative income sources to mitigate the effects of rainfall variability and climate change on food security.

Importance-Performance Analysis of Factors Affecting the Sustainability and Development of Poultry Farms (Evidence from Broiler Farms in Baghlan Province, Afghanistan)

Ensuring adequate food supplies has become a critical issue with a rapidly growing global population and increasing demand for protein-rich foods. In Baghlan province, Afghanistan, many poultry farms have been forced to cease operations due to insufficient infrastructure and resources, leaving a significant gap in meeting the region's growing demand for poultry products. This study aims to identify the key factors affecting the sustainability and development of broiler farms in Baghlan province as perceived by farm owners. The primary research tool was a researcher-developed questionnaire, whose validity and reliability were confirmed. The study population comprised all broiler farm owners in Baghlan Province, from which a sample of 91 was selected using the Morgan table and complete enumeration sampling method. The findings revealed that approximately 54% of respondents expressed moderate satisfaction with their farms. Importance-Performance Analysis (IPA) was conducted to assess the relative importance and performance of various factors affecting the development and sustainability of the farms. The results indicated that having a qualified expert, the farmer's educational level, the poultry house ventilation system, and being a local resident were considered highly important factors for farm success but were underperforming. Based on limited existing research in the region, these findings provide valuable insights for enhancing poultry farm development and food security in Baghlan province and throughout Afghanistan. The study offers specific recommendations for addressing the identified challenges and improving the sustainability of poultry farming in the region.

An integrated food management framework: A preventive measure for food scarcity during the Prabowo Subianto administration

The Food and Agriculture Organization (FAO) reported in 2024 that Indonesia is at risk of facing a future food crisis if adequate food supply is not ensured. A critical aspect of food management in Indonesia lies in its management systems. Thus, this study aims to review the extent to which food management under the Joko Widodo administration has been integrated to address food shortages. Further, this study will develop an integrated food management system as an alternative to prevent food scarcity during the Prabowo Subianto administration. The methodology involves a literature review and in-depth interviews with stakeholders involved in managing the national food reserve. Findings indicate that food management in Indonesia remains fragmented and lacks integration between central and local governments, hindering effective food management during periods of scarcity. Based on an online website, the proposed integrated food management framework aims to simplify national food management and prevent food shortages.

A step toward the modern and sustainable agriculture: Evaluating the impact of information and communication technology on cereal production in China

AbstractAchieving food security has become a critical concern for many nations. China has also made significant efforts to ensure domestic food security. In order to provide an adequate food supply in the future, this research explores the effects of information and communication technology (ICT) on grain production. Pool Mean Group (PMG) method is used to estimate a panel dataset for 31 Chinese province administrative regions from 2005 to 2021. To ensure that the panel dataset is suitable for use with the PMG model, cross‐sectional independence tests, unit root tests, and co‐integration tests are performed. The empirical analysis shows that ICT boosts cereal crops yields over time. In particular, a 1% increase in fixed broadband users and cell phones boosts cereal production by 0.03% and 0.06%, respectively, in the long run. As a result, in order to increase yields, China must expand its use of ICT in agricultural production.

The effect of socioeconomic factors on malnutrition in Syrian children aged 0–6 years living in Turkey: a cross-sectional study

BackgroundThis study was conducted to examine the prevalence of malnutrition in Syrian immigrant children living in Turkey.MethodsThe study was carried out in the city of Mardin, which is one of the cities with a high Syrian immigrant population in Turkey. Height, body weight and BMI values were recorded to determine the malnutrition status of the children. Z-scores of children were calculated using the malnutrition assessment WHOAntro program.ResultsThe data show that 30.5% of Syrian children between the ages of 0 and 6 months are male, making up 55.8% of the total, and that 55.3% do not follow a regular breakfast schedule. The percentages of body weight for height, height for age, and BMI for age of Syrian children with a score between − 2 and + 2 SD Number were (89.3%), (74.3%), and (79.3%), respectively. Girls are more likely than boys to experience stunting and low body weight in the context of Syrian children (Stunting OR: 0.855(0.761–1.403), Underweight OR: 0.705(0.609-1,208)). Additionally, there is a link between levels of stunting and underweight and elements like the mother’s educational level and the family’s income. Contrary to the situation of adequate nutrition, it was discovered that the likelihood of stunting and low body weight in children increased by 0.809 and 1.039 times, respectively, when access to an adequate food supply was not available within the family (p < 0.05).Conclusions According to the results of the study, gender, family income, mother’s education level and access to food affected the severity of malnutrition in children. Migration is an imporatnt factor affecting children’s health. In this study malnutrition was found high im immigrant children. Programs should be developed to monitor the growth and development of disadvantaged children and to support their nutrition.

Optimal resource reallocation can achieve water conservation, emissions reduction, and improve irrigated agricultural systems

CONTEXTCrop production consumes large volumes of fresh water and is a key contributor to anthropogenic greenhouse gas (GHG) emissions. Increasing crop output to ensure adequate food supplies under water and land scarcity relies excessively on intensive agricultural inputs (e.g., fertilizers, pesticides, and agricultural films), leading to irreparable environmental consequences (water scarcity and degradation and GHG emissions). Therefore, research on a nexus approach and resource optimization model were carried out. OBJECTIVETo fill the gap of objectives priority and optimal allocation of water resources at irrigation area scale, this study constructed a model to achieve optimal water conservation, GHG emissions reduction, and economic benefit improvement, covering the cumulative environmental burden of agricultural inputs, production processes, trade and consumption related to agricultural activities. METHODSBased on a resource-environmental-economic framework, we took the blue water footprint (WFblue) as a decision variable and developed an integrated water resource optimization model, which was solved by the non-dominated Sorting Genetic Algorithm-II in Matlab. Minimizing crop water footprint (WFcrop), minimizing crop carbon emissions (CEcrop) and maximizing crop economic benefits (EBcrop) were the objectives of the model, and blue water resource, food security, electric energy consumption and land security were the constraint conditions. In addition, three scenarios were tested based on the priority of the objective functions. RESULTS AND CONCLUSIONSAnnually, WFcrop was 1234.29 × 106 m3 and CEcrop was 522.45 Gg CO2 eq for food production in Lianshui Irrigation District from 2005 to 2019. Grain crops exhibited a greater WFcrop and contributed significantly more to CEcrop than oilseed crops. Virtual water and carbon flows increased with food transfer. By adjusting the WFblue of crops compared to the baseline scenario (BS), the average WFcrop decreased by 10.0 %, CEcrop decreased by 4.0 %, and EBcrop increased by 6.4 % under Scenario 2 (minimizing WFcrop and maximizing EBcrop), respectively. Similarly, there were average reductions of 9.2 % in WFcrop, 6.2 % in CEcrop, and EBcrop increased by 5.6 % under Scenario 3 (minimizing CEcrop and maximizing EBcrop) compared to the BS. Therefore, the integrated model achieved the optimization objectives. SIGNIFICANCEThis research not only broadens the scope of traditional environmental impact assessments in agricultural production, but also underscores the positive impact of scientifically and rationally redistributing resources for water conservation, GHG emissions reduction, and economic benefit improvement.

Research on food security issues considering changes in rainfall

Ensuring food security is not only vital to the adequate supply of food in the world, but also the key to the economic development and social stability of various countries. Based on the panel data of 29 provinces in China from 2016 to 2020, this paper selects the number of foodborne diseases patients and iodine deficiency disease patients as reference objects, uses stunting rate of children under 5 years old, malnutrition rate of children under 5 years old, obesity rate of children under 5 years old, and newborn visit rate to measure improving nutrition, proposes Meta Entropy Two-Stage Dynamic Direction Distance Function (DDF) Under an exogenous Data Envelopment Analysis (DEA) model to measure the efficiency of hunger eradication, food security, and improving nutrition under the influence of exogenous variable rainfall. The research results indicate that the sustainability of China’s agricultural economy is insufficient, and the focus of attention should be different in different stages. In addition, the average efficiency of the three regions generally shows a decreasing level in the eastern, western, and central regions. In order to improve China's ability to guarantee food security, we must continue to strengthen the construction of agricultural infrastructure, increase policy support for green agricultural production, promote the diversification of agricultural production, and enrich people’s agricultural product consumption varieties.

IoT-Based Smart Vertical Hydroponic System for Chili Plant

Agriculture serves as the primary source of food for the global population, playing a critical role in meeting the nutritional needs of people worldwide. With the projected population reaching 9.7 billion by 2050, ensuring an adequate and sustainable food supply becomes increasingly challenging. Hydroponics, a technique that cultivates plants without soil by delivering mineral nutrients through water, offers a potential solution. Hydroponics requires only 10% of the space and 90% less water compared to conventional farming, enabling year-round production of nearly organic food. Vertical hydroponic systems, which arrange plants in stacked or suspended layers, optimize the use of vertical space and are particularly suitable for indoor and urban agriculture where land is limited. However, these systems require regular maintenance and monitoring, including managing nutrient solution balance, pH levels, water quality, and lighting conditions. This complexity can pose challenges for growers lacking time, resources, or technical expertise. To address these issues and ensure sustainability, an automated monitoring method is proposed for vertical hydroponic farming. This project aims to develop a system that automates the checking and maintenance of nutrient levels in the vertical farming process, monitoring factors such as Electrical Conductivity (EC), pH, liquid level, and water temperature. The integration of automation technologies in vertical hydroponics enhances precision, efficiency, and productivity by reducing labour requirements, optimizing resource utilization, and granting growers greater control over the growing environment. These advancements result in healthier plants, higher yields, and more sustainable agricultural practices.

Regulatory mechanism and molecular genetic dissection of rice (Oryza sativa L.) grain size

With the sharp increase of the global population, adequate food supply is a great challenge. Grain size is an essential determinant of rice yield and quality. It is a typical quantitative trait controlled by multiple genes. In this paper, we summarized the quantitative trait loci (QTL) that have been molecularly characterized and provided a comprehensive summary of the regulation mechanism and genetic pathways of rice grain size. These pathways include the ubiquitin-proteasome system, G-protein, mitogen-activated protein kinase, phytohormone, transcriptional factors, abiotic stress. In addition, we discuss the possible application of advanced molecular biology methods and reasonable breeding strategies, and prospective on the development of high-yielding and high-quality rice varieties using molecular biology techniques.

Catastrophic and noncatastrophic population crashes in a bitrophic system with dynamic additional food provision to cooperative predators.

In this article we contemplate the dynamics of an additional food-provided prey-predator system. We assume that the behavior of cooperative predators induces fear in prey, which radically affects the prey's birth and death rates. We observe that the structural instability imposed by strong cooperative hunting among predators goes away with higher intensities of fear levels affecting the prey's reproductive output and mortality. High levels of prey refuge are not conducive to the survival of predators. In such a situation, adequate supply of high-quality additional food is favorable regarding the persistence and stability of the system. Interestingly, the system potentially exhibits two stable configurations under identical ecological conditions by allowing different bifurcation scenarios, including saddle-node and backward bifurcations, and associated hysteresis effects with prey refuge along with additional food quantity and quality. In the stochastic environment, the system experiences critical transitions through bifurcation-induced tipping events with time-varying additional food for predators. Enhanced disturbance events promote noise-induced switching and tipping events. Finally, our investigation explores whether impending population crashes resulting from the variability of additional food quantity and quality can reliably be predicted using early warning signals in the context of redshifted noise. Overall, our results may provide insights for finding control strategies in the context of community ecology.

FOOD SECURITY AND RAJASTHAN

This research paper explores the nuanced understanding of "food security," tracing its evolution from a mere "availability at all times of adequate world food supply" in the 1970s to Amartya Sen's comprehensive perspective on entitlements in the 1980s. Sen's emphasis on entitlements, beyond mere food availability, distinguishes his approach from traditional notions of effective demand. While Keynes' effective demand related to monetary income in a capitalist economy, Sen's analysis extends to a "mixed economy" with multiple classes.&#x0D; In the context of Rajasthan, this study reveals the intricate dynamics of food security, considering diverse demographics, geographical variations, and vulnerability indicators. Urbanization trends, examined through three distinct phases, present potential implications for food distribution and accessibility across regions. Recognizing the heterogeneity of regions in Rajasthan, the paper stresses the importance of tailored policies that account for climatic variations, regional interests, and health demands.&#x0D; A thorough investigation into the nutritional status of the population highlights concerning trends, particularly the prevalence of anemia and malnutrition among women and children. Despite advancements in education and awareness, persistent nutritional challenges demand a holistic approach addressing both immediate and underlying causes.&#x0D; In conclusion, this research underscores the multi-faceted nature of food security challenges in Rajasthan. It advocates for targeted interventions incorporating sustainable agriculture, improved infrastructure, and inclusive policies. By addressing the root causes of food insecurity and malnutrition, the paper provides valuable insights for policymakers, researchers, and practitioners striving to enhance food security in the region.Top of Form

ЯК ВПЛИНЕ ВІЙНА В УКРАЇНІ НА ЕПІДЕМІЧНУ СИТУАЦІЮ З ТУБЕРКУЛЬОЗОМ: МІРКУВАННЯ ФАХІВЦІВ

To determine the leading trends regarding the impact of the war in Ukraine on the situation with tuberculosis (TB) in real time, professional sources of information were analyzed. Publications regarding the impact of the war in Ukraine on the epidemic situation with TB are mainly of an overview nature. An increase in morbidity, mortality and worsening of other epidemiological indicators are predicted. Possible spread of multidrug-resistant tuberculosis (MDR-TB) and TB/HIV confections is of special concern, as even before the war Ukraine ranked second in Europe for the burden of HIV infection, fourth for the spread of TB and fifth in the world for MDRTB. The impact of war on the health of the population and the medical care system is determined by many factors, including damage to the country's infrastructure, overcrowding, deterioration of sanitary conditions, forced displacement of the population, insufficient availability of medical care, lack of adequate supply of water and food, mental overload, financial difficulties etc. The war affects patient care and the effectiveness of the health care system, which means poor TB detection rates, coverage of preventive examinations, and limited access to health care in general. This problem requires an immediate and comprehensive research and develop a set of measures to restore the full provision of medical care for this disease. Establishing the determinants of TB risk caused by the war will allow offering practical health care measures that should reduce the negative impact of the war on the epidemic situation with TB in Ukraine. Key words: tuberculosis, epidemic situation, war.

Marcadores externos para estimativa de consumo por vacas leiteiras em confinamento

Abstract The accurate determination of individual dry matter intake (DMI) is an important parameter for evaluating the nutritional value of a diet and allows for an adequate supply of food according to the nutritional requirements of each animal. When it is not possible to measure this parameter using a direct method, the DMI can be estimated based on faecal production markers and the in vitro digestibility of dry matter (IVDMD) of the diet. The objective of this study was to evaluate the effects of the external marker titanium dioxide (TiO2) and enriched and modified hydroxyphenylpropane (LIPE®) on DMI. Four multiparous Holstein × Gyr cows with an average of 60 days in milk and 488 kg of body weight were used. The animals were housed in a free stall barn and fed diets based on sugarcane silage supplemented with concentrate composed of ground corn, cottonseed meal and 0%, 5%, 10% and 15% whole cottonseed on a dry matter (DM) basis. A 4 x 4 Latin square design was adopted. The DMI was determined by the ratio between the faecal production estimated by the markers and the IVDMD of the diet, with faeces collected by rectal grabbing twice a day for a period of seven days. There was no difference (P&gt;0.05) in the DMI estimated by the external markers TiO2 and LIPE® (10.3 vs. 12.1; 11.1 vs. 12.5; 10.2 vs. 12.9; and 12.7 vs. 10.9 kg/cow/day in relation to the measured DMI for diets with 0%, 5%, 10% and 15% inclusion of whole cottonseed, respectively). The external markers LIPE® and TiO2 proved to be suitable for estimating cow DMI. Regardless of the diet offered, both external markers can be used to replace the external marker chromic oxide, as the DMI estimated by them did not differ from the DMI measured in the trough.

Reinforcement Learning versus Model Predictive Control on greenhouse climate control

The greenhouse system plays a crucial role to ensure an adequate supply of fresh food for the growing global population. However, maintaining an optimal growing climate within a greenhouse requires resources and operational costs. To achieve economical and sustainable crop growth, efficient climate control in greenhouse production is paramount. Model Predictive Control (MPC) and Reinforcement Learning (RL) are the two approaches representing model-based and learning-based control, respectively. Each one has its own way to formulate control problems, define control objectives, and seek for optimal control actions that provide sustainable crop growth. Although certain forms of MPC and RL have been applied to greenhouse climate control, limited research has comprehensively analyzed the connections, differences, advantages, and disadvantages between these two approaches, both mathematically and in terms of performance. Therefore, this paper aims to address this gap by: (1) introducing a novel RL approach that utilizes Deep Deterministic Policy Gradient (DDPG) for large and continuous state–action space environments; (2) formulating the MPC and RL approaches for greenhouse climate control within a unified framework; (3) exploring the mathematical connections and differences between MPC and RL; (4) conducting a simulation study to analyze and compare the performance of MPC and RL; (5) presenting and interpreting the comparative results to provide valuable insights for the application of these control approaches in different scenarios. By undertaking these objectives, this paper seeks to contribute to the understanding and advancement of both MPC and RL methods in greenhouse climate control, fostering more informed decision-making regarding their selection and implementation based on specific requirements and constraints.

The hidden indirect environmental effect undercuts the contribution of crop nitrogen fertilizer application to the net ecosystem economic benefit

The current environmental and economic challenges of the application of nitrogen (N) fertilizer on crops are not only to provide an adequate food supply but also to reduce the resulting environmental pollution. A comprehensive understanding of the multiple effects of N fertilizer application on crops will help to more accurately guide the application of N fertilizer to meet current challenges, and to promote sustainable crop production. It is widely known that excessive N fertilizer applied to crops can lead to N-related direct environmental effects, including reactive N (Nr) losses, greenhouse gas emissions, and high environmental costs. However, few studies have revealed the hidden indirect environmental effect of crop N fertilizer application and its impact on the net ecosystem economic benefit (NEEB), which may be triggered by a N-crop-pest cascade pathway. In this study, we conducted three-year wheat field experiments at five N fertilizer application rates (0, 70, 140, 210, and 280 kg ha−1) in a city on the North China Plain. Excluding wheat yield and direct N-related environmental effects, the indirect effects of N fertilizer application, including the occurrence of cereal aphids (the most important wheat insect pests), the use of chemical pesticides for pest control, the impacts on the environmental and human health damage costs and NEEB were studied. Our results showed that the abundances of cereal aphids positively correlated with the N fertilizer application rates. At each N fertilizer application rate (70, 140, 210, 280 kg ha−1), 0.447 kg of active ingredients of chemical pesticides (0.222 kg insecticides and 0.225 g fungicides) per hectare per season were used to control insect pests and pathogens, while no pesticides were used at 0 kg ha−1(i.e., no N fertilizer was applied). The environmental and human health damage costs of pesticides for pest control increased $8 per hectare for wheat at four N fertilizer application rates and then reduced NEEB by the same amount. Our work extends previous studies and reveals the indirect negative environmental effect of N fertilizer application on crops triggered by a N-crop-pest cascade pathway. This effect undercuts the contribution of crop N fertilizer application on NEEB.

Linking Satellite, Land Capability, and Socio-Economic Data for Local-Level Climate-Change-Adaptive Capacity Assessments and Decision Support

Climate change is now one of the most formidable threats to the livelihoods of resource-poor communities in low-income developing countries world-wide. Addressing this challenge continues to be undermined by the conspicuous absence of actionable adaptation strategies that are potentially capable of enhancing our capacities to realize the Millennial Sustainable Development Goals that seek to securitize access to adequate food supplies for everybody. This paper attempts to address this limitation by providing an improvised geostatistical methodology that integrates multi-source data to map the adaptive capacities of vulnerable communities in a selected South African local municipality, whose livelihoods are largely dependent on rain-fed agriculture. The development of this methodology was based on the use scripts that were compiled in Python and used to test-try its usefulness through a case-study-based assessment of the climate-change-adaptive capacities of local communities in Raymond Mhlaba Local Municipality (RMLM), Eastern Cape Province, South Africa. A Bayesian maximum entropy framework-based technique was used to overcome the lack of missing soil moisture data, which we included because of its reliable usefulness as a surrogate indicator of climate-change-driven variations in this variable on the sustainability of rain-fed agriculture. Analysis of the results from a sampling universe of 124 communities revealed that 65 and 56 of them had high and medium adaptive capacities, respectively, with the remaining 3 having low adaptive capacities. This finding indicates that more than half of the communities in the municipality’s communities have limited capabilities to cope with climate change’s impacts on their livelihoods. Although our proposed methodology is premised on findings from a case-study-based investigation, it is still extremely useful because it demonstratively shows that there is tremendous scope for the scientific community to provide objectively informed insights that can be used to enhance the adaptive capacities of those in need of the badly needed but difficult-to-access information. Added to this is the fact that our proposed methodology is not only applicable for use under different environmental settings but also capable of allowing us to cost-effectively tap into the rich, wide-ranging, freely accessible datasets at our disposal. The aim of this submission is to show that although we have the information, we need to address these persevering challenges by exploring innovative approaches to translate the knowledge we have into actionable climate-change-adaptation strategies.

Legal Implications of Free-Range System of Rearing Cattle in Nigeria: a Review

Open grazing in Nigeria has been an age-long practice associated with the people of the Sahel. Evidence abounds of the peaceful co-existence between cattle herders and their host communities in nearly all parts of the country; what obtains today is far from peaceful. There have been incessant reports of violence ranging from the destruction of farmlands to the deaths of farmers and herdsmen through deliberate, unprovoked, violent attacks and reprisal attacks. Government efforts at resolving these issues have brought about suggestions to have grazing reserves or ranching, which have been resisted by some states. There have been calls by some state governments for the ban of open grazing due to the problems associated with it while some states have enacted laws banning open grazing. Meanwhile, there is a paucity of information on the legality of open grazing or otherwise, since there is yet to be a federal law in support of or condemnation, hence this investigation. This paper adopts legal and agropastoral methodologies to review these issues as they affect animal-human welfare. It further investigates how grazing is done in other climes to suggest possible solutions that will be mutually beneficial to farmers and herders. It found that in other climes, the methods of grazing were permitted to depend on the peculiarity of each state, particularly the availability of land. Findings further revealed the possible consequences of the free-range system if left unchecked, one of which could gradually affect the country’s adequate food supply. Farmlands are gradually abandoned for fear of possible attacks. Some states particularly known for farming are now plagued with hunger and poverty among farmers in rural areas. The consequence of unregulated open grazing could impair the possibility of attaining sustainable development goals of zero hunger and eradication of poverty. It recommends that the government urgently finds a lasting solution to open grazing that will be welcomed and acceptable to all states, bearing in mind their different peculiarities. Failure to attain these amounts to a gross violation of the rights of the various stakeholders.

A Perspective of Food Security, Marketing and the Role of the Government

Food security is attained when individuals possess both the physical means and financial resources to consistently obtain an adequate supply of food that fulfils their nutritional needs, so enabling them to maintain optimal health and productivity. The four fundamental dimensions of food security that are widely acknowledged are availability, accessibility, stability, and utilisation. The concept of food security is difficult to define and grasp. Nevertheless, the consumption of an adequate quantity of food on a consistent basis is a fundamental physiological requirement for individuals, which is expected to influence household behaviour in both the public and private sectors. The available evidence indicates that governmental policy measures aimed at addressing concerns related to food security have exerted a substantial influence on the economies of countries where a considerable proportion of the population experiences undernourishment, both at the individual family level and within the broader context of national markets. The provision of food security by the public sector has transformed from being a crucial economic stimulant in many prosperous emerging countries to becoming a political reaction to the challenges posed by swift structural transformations. The correlation between economic growth and food security often transitions from a positive association to a negative one. Given the projected increase of three billion individuals by the year 2050, the following concepts aim to tackle the urgent challenges pertaining to supply and demand. Food insecurity is a highly challenging global concern. Nevertheless, the concept of food security encompasses a supplementary and less precise dimension. This article examines the perspective of food security, marketing, and the role of the government in addressing food-related concerns.