Small Farmers Research Articles

Financial Feasibility of Cucumber Cultivation in Polyhouse: A Case Study from Jaipur, Rajasthan, India

Cucumber (Cucumis sativus L.) is one of the popular vegetable crops grown broadly throughout the world. Cucumber crop grows successfully under conditions of high light, high humidity, high soil moisture, temperature, and fertilizers in the greenhouse. Aim of the Study: The present study was carried out to evaluate financial matrix such as payback period or net present value benefit cost ratio and internal rate of return of polyhouse by cucumber cultivation financial metrics evaluated, for 2023-24. Sampling Design: A multistage sampling design were used for the study of Cucumber cultivation in a polyhouse in the Jaipur district of Rajasthan for the 2023-24. Two tehsils were selected purposively based on the highest number of polyhouse from Jaipur district, namely Jhotwara and Jobner. A sample of 60 farmers were selected for the study from these two tehsils. Results: The finding of the study revealed that the payback period of polyhouse by cucumber cultivation, for small farmers was favorable after covering the subsidy i.e. 0.75 years. The net present worth of polyhouse for small farmers was ₹ 14222249.12, for 20-year expected life at a 7.5 percent discount rate. It was ₹ 13406743.12 for large farmers and ₹ 11164102.12 for assumed non-subsidized farmers. The benefit-cost ratio for the subsidized small farmer was 10.41 and it was 6.76 for the subsidized large farmer. The benefit-cost ratio for the assumed non-subsidized farmer was 3.44 for the cucumber cultivation in polyhouse. The Internal Rate of Return was 133 percent, 84 percent, and 36 percent for the small, large, and non-subsidized cucumber-cultivating polyhouse farmers. Thus, result of the study in all three condition shows profitability of polyhouse by cucumber cultivation.

Impact of bulky manures and fermented liquid formulations in enhancing the quality parameters of sweet pepper

Indigenous fermented liquid formulations (Panchagavya, Jeevamrut and Amritpani) are rich sources of beneficial microflora and fauna, vitamins, minerals and growth-promoting hormones. Small and marginal farmers of North-West Himalayan region popularly grow sweet pepper as commercial crop. Poultry manure and vermicompost are two cheap nutrient sources, popular among these growers. So, inorder to investigate the combined effect of these organic inputs, two-year field experiment with seven treatments and three replications; with randomized block design; comprised of 100, 90, 80, 70, 60, 50, 40 per cent recommended dose of nutrients (RDN) which was applied through vermicompost and poultry manure along with Panchagavya (5%), Jeevamrut (5%), Amritpani (5%) and plant growth promoting rhizobacteria which was isolated from experimental location, applied to all treatments, except T1; was carried out to study the response of these inputs on quality parameters of sweet pepper. Results revealed that treatment T2 that comprised of 90% RDN including Panchagavya, Jeevamrut, Amritpani and PGPR led to noticeably improvement in growth and quality parameters viz. chlorophyll-a (0.52 mg g−1), chlorophyll-b (0.73 mg g−1), ascorbic acid (29.47 mg 100 g−1), protein content (28.90%), capsaicin content (0.23 mg g−1), number of primary branches (8.20), average fruit weight (62 g), fruit yield (290.58 quintals ha−1), number of flowers per plant (24.97), leaf area index (4.73) and shelf life (6.03 days). Hence, it is concluded that the combined use of these inputs has the potential to enhance growth and quality characteristics of sweet pepper in achieving sustainable crop productivity.

Automation and AI in Precision Agriculture: Innovations for Enhanced Crop Management and Sustainability

Precision agriculture is one of the ways to achieve food security and sustainability through better resource-use optimization and crop productivity dealing with the challenges posed by the growing population and addressing environmental concerns. The study offers an in-depth look at the most recent developments in artificial intelligence (AI) and automation in precision agriculture (PA), with a particular emphasis on important technologies such as drones, autonomous tractors, AI-driven irrigation systems, and predictive analytics for crop management. The accuracy of crop monitoring and health assessments has increased by 30–50 percent as a result of AI-powered solutions, which have improved resource-based decision-making. Systems for precision irrigation and fertilization have increased crop yields by 5–15 percent when using 25–40 percent less water and 30-40 percent less fertilizer, respectively. Robotic harvesters and sprayers are examples of automation technologies that have reduced labor expenses by 20–40 percent and increased operational efficiency by 35 percent. Additionally, AI-based prediction models have reduced pest damage by 20–25 percent and reached an accuracy of 85–90 percent for crop yield forecasts and pest control. Despite these developments, issues of scalability, affordability for small farms, and data privacy still exist, which can hinder technology adoption among farmers. The evaluation follows by outlining ideas for future research, such as 5G, blockchain, and AI integration with cloud and edge computing. These technologies could improve decision-making and transparency in precision agriculture by enabling real-time data transmission, secure data management, and enhanced traceability, thus addressing current limitations and fostering trust among stakeholders.

Farmers' Perception on the Functioning of FPC-NRMFPCL in the Zaheerabad Region of Sanga Reddy District, Telangana, India

Indian agriculture is predominantly comprised of small and marginal farmers, who face significant challenges in accessing modern resources and markets. To address these issues, the government has promoted Farmer Producer Companies (FPCs) to enhance market access. This study assesses farmers' perceptions of the Narinja Rythu Mithra Farmers Producer Company Limited (NRMFPCL) in Zaheerabad Mandal, Telangana, using systematic random sampling of 80 farmers and a Likert scale for evaluation. Findings indicate high satisfaction with the quality of seeds and market information, reflecting the effectiveness of the services provided. The results underscore the importance of FPCs in improving farmers' livelihoods and accessing vital resources, suggesting a promising future for collective agricultural initiatives in enhancing market participation and overall rural development.

Characterization of Pasture Production Systems in Makueni County of Kenya

Livestock feed is a key factor influencing animal production and productivity as evidenced by the increased demand for animal source foods (ASFs) to feed a growing human population in Kenya. However, there exists untapped potential of pasture commercialization and hence the need to harness the social, economic and environmental benefits in the ASALs for overall rural development. A study was conducted to characterize the existing pasture production systems in Makueni County. A purposive random sampling of 300 respondents drawn from 3 Sub-counties and 12 wards was conducted in Makueni County in January, 2021. The study aimed to characterize existing pasture production systems using a structured questionnaire. Data were analyzed using descriptive and inferential statistics. Multivariate statistical techniques; principal Component Analysis (PCA) and Cluster Analysis (CA) were used to determine whether or not there were significant differences in the pasture production systems in Makueni County. Results of the study showed that majority (97%) of the farmers were small scale farmers (SSFs) who dedicated less than 5 acres of their land to pasture production. The mean age of small- scale farmers was 52 years compared to 55 years for the large-scale farmers (LSFs). Most of the households were male headed (83%). Most of the SSFs household heads had primary level of education level or lower while most of the large-scale household heads had secondary education and above. Majority (35%) of SSFs owned the land under pasture without a title while most of the LSFs had a title. The land under pasture for SSFs was about 2 acres with an average of 102 bales per season while LSFs had about 23 acres under pasture and produced about 1,762 bales per season. Majority (92%) grew local grass varieties and sold their pasture in form of a bale. 58% of SSFs sited NGOs as their main source of grass seeds while LSFs mainly sourced from agrovets Results of PCA revealed that 6 of the 17 components had eigen values greater than 1 and accounted for 58% of the total variance. Based on Euclidian distance, six clusters were determined using the agglomeration schedule. ANOVA analysis of the six profiles were estimated to have p-values of 0.000, suggesting the existence of significance difference between cluster 1 to 6 in relation to the 6 profiles and hence concluding the existence of variations in pasture production systems in Makueni County. Development strategies should focus on knowledge of and improved access to grass seeds to farmers as well as development of standards of the mode of sale of pasture.

Farm Mechanization Innovation Capacity and Rice Productivity: Evidence from Small Scale Rice Farmers in Kwara State, Nigeria

Rice is a staple diet eaten by more than fifty percent of households in the whole world. There is a deficit currently in the demand- supply production of rice when carefully observed and this is traceable to the use of crude implements and traditional methods of farming. It is to this effect that this study addresses farm mechanization innovation and rice productivity using small scale rice farmers in Kwara State, Nigeria. A total of 261 rice farmers were used for this study out of which only 78 rice farmers adopted the farm mechanization innovation while 183 rice farmers did not. The focus group discussion (FGD) employed revealed that majority of the rice farmers do not have capacity for farm mechanization, hence the low adoption of the innovation. The FGD revealed that 65.90percent of the rice farmers had medium innovation capacity, 28.74percent had low innovation capacity and 5.36percent had high innovation capacity. Employing the Propensity Score Matching (PSM) method to evaluate the impact of farm mechanization on the productivity of rice farming households in Kwara State, Nigeria; the rice farmers that adopted the use of farm mechanization have a higher productivity of 12.68 kg/m2 as against the rice farmers who do not adopt the use of farm mechanization in their farming activities with their own productivity standing at 6.31kg/m2 . This outcome implies that farm mechanization has a positive impact on the productivity of the farmers. It is therefore recommended that quality extension services be put in place in the study area on the benefits of adopting farm mechanization. Also, the government should provide machineries for lease to the rice farmers so as to boost their productivity.

Analysis of the state of agricultural entrepreneurial activity – production of Varaždin county

The Varaždin County is experiencing a decrease in arableagricultural land and an increasing withdrawal from agriculturalproduction, despite favorable conditions for engaging in this activity.Most agricultural subjects are small family farms, with persons over 60years old predominating among the holders/managers of production.The fragmentation of agricultural land and the reduced number ofyoung farmers further complicate the situation.Positive initiatives aimed at benefiting existing farmers and motivatingyoung people to engage in agricultural production include the provisionof grants for growth and development, emphasizing investmentsin modernization and increasing production capacities, while alsosignificantly encouraging the production of indigenous products. Thegoal is to stop the decline in the number of agricultural subjects andmodernize their production to enable them to compete in the marketand contribute to achieving self-sufficiency in agricultural production.

Комплексный подход к развитию инфраструктуры сбыта продукции аграрного малого и микро-бизнеса

Small and private subsidiary farms are important members of agricultural community. However, they still lack good infrastructure to market their products because they remain beyond the scope of state interest. The agricultural infrastructure in its present condition neither gives farmers access to co-financing nor allows them to shape the list of services they need. The research featured program documents issued by the Government of the Russian Federation that determine the development of wholesale food markets and aggregators of farm produce. The author generalized the experience of retail chains and agricultural consumer marketing cooperatives, as well as studied the cases of small rural businesses merging into marketing cooperatives in agricultural regions. The bibliographic study covered best foreign practices in shaping infrastructure for small farm produce, which were compared with Russian experience. The author also developed an abstract-logical method of establishing the interaction between stakeholders in a new system of farm produce aggregators. In this research, agricultural regions demonstrated the most acute problems in small business marketing. A good system of agricultural infrastructure supports production in all sectors of small business with growth potential. Today, small businesses are alone in organizing their own sales as wholesale distribution centers are not available to them. These centers work with small suppliers through intermediaries, i.e., aggregators. In the Kemerovo Region, an example of such aggregators is the one created on corporate principles between the Magnit retail chain and the Kalina-Malina agricultural consumer marketing cooperative. The experience demonstrated some advantages and disadvantages. The article introduces conditions for successful financial relations in commodity circulation chains in different distribution systems, including farmers, aggregators, and wholesale distribution centers. This approach reduces prices on consumer markets while increasing the efficiency of small farms.

Economic Analysis of Seed Spice Cultivation in Gujarat, India

The present investigation was carried out to study the cost of cultivation and returns per hectare of major seed spices in Gujarat. The study was conducted at Banaskantha district for cumin and fennel as per the second highest triennium average area of cumin and fennel and at Junagadh district for coriander as it shows the highest triennium average area of coriander respectively during the year of 2023-24. In Gujarat for 2023-24, cumin cultivation incurred significant costs with hired labour as the largest component at 15.80 per cent, followed closely by family labour (15.65%) and rental value of owned land (13.44%). Fennel farms saw average costs of ₹70468.90 per hectare, peaking at ₹71356.01 on large farms and lowest at ₹67208.33 on small farms, with family labour (17.25%), irrigation (16.04%) and land rental (15.64%) as major expenses. Similarly, coriander farms had an average cost of ₹75939.26 per hectare, highest on large farms at ₹76551.63 and lowest on small farms at ₹74160.06, with rental value on owned land (18.95%), hired labour (16.35%), and family labour (11.74%) being significant costs. Costs increased with farm size across all crops. Cumin proved most profitable with an input-output ratio of 1:3.08, compared to fennel (1:1.48) and coriander (1:1.76) in the same period.

Effect of acid and fermented silage hydrolysis time on protein fractionation and digestibility for Nile Tilapia

World aquaculture production currently demands sustainable protein ingredients that can compete with fishmeal regarding nutritional quality and economic feasibility. In this study, the protein fractionation of silages prepared with Nile tilapia processing waste (heads, spine, fins, and viscera) by two processes and three hydrolysis times was evaluated, considering the digestibility coefficients of its crude protein, amino acids, and gross energy of Nile tilapia juveniles. The apparent digestibility coefficients (ADCs) were determined using 360 Nile tilapia juveniles (9.36 ± 0.74 g) distributed in 18 tanks (150 L), following a completely randomized design with six treatments, in a factorial scheme of 2×3, with three replicates. The six test diets were composed of 69.5 % of the reference diet, 0.5 % chromium (III) oxide, and 30 % of either acid or fermented silages produced with three hydrolysis times (24, 96, and 192 hours). The results demonstrated that both the processing type and hydrolysis time influenced the profile and peptide fractions of the silages. The acid silage was faster in relation to the release of free α-amino groups and the degree of hydrolysis (DH), up to 192 hours of hydrolysis. After this period, the fermented silage showed a higher degree and speed of hydrolysis. SDS-PAGE demonstrated that a longer hydrolysis time increased the concentration of the protein band between 150 and 100 kDa, indicating a proliferation of microorganisms using the free amino acids produced during fermentation. Regarding the distribution of peptides, acid silage presented higher values for the concentration of polypeptides, slow degradation and proportion among fractions, with the appearance of di- and tripeptides, as well as free amino acids. For the fermented silage, a higher degradation of polypeptides into oligopeptides was verified, representing the highest fraction, with a small proportion of di- and tripeptides and free amino acids. ADC values were high for all amino acids and proteins, which was not observed for the mean values of energy ADC. The production of silages with 192 hours of hydrolysis proved to be viable, and the fermented processing revealed the highest ADC values in relation to most of the amino acids, thus being the most indicated to be incorporated in fish diets, favoring its utilization by small farmers and reducing the inadequate disposal of biodegradable waste, thereby avoiding environmental pollution.

Optimizing yield and irrigation water productivity of wheat under Sahel conditions in North East Nigeria

Unsustainable irrigation practices are a major threat to the available water resources and food security of the country. This research was conducted to determine the optimal wheat grain yield and water productivity (WP) under limited irrigation practices for the enhanced livelihood of small farmer holdings in the Sahel region of northeast, Nigeria. The research was carried out in randomized complete block design (RCBD) with split plot arrangement and replicated three times. The main plot treatment was 7 (I1), 10 (I2), and 14(I3) days irrigation intervals, while the subplot factor was 100 (V1), 85 (V2), and 70% (V3), of crop water requirement (ETc) replacement. The cropWat model was used to determine the crop water requirement (ETc) of the wheat (var. Norman) used in the research. The findings indicated that a 7-day irrigation interval increased grain yield by 20.18 over a 10-day irrigation interval and by 63.10% over 14-day irrigation intervals. Grain yield was found to decrease by 44.80 and 747.25kgHa-1 respectively for 85 and 70% ETc replacement irrigations from full ETc replacement irrigation. Crop water use efficiency was higher and better (0.74 mm-kg/ha) with I1V2 irrigation treatment for wheat and saved 11.55.50 m3 irrigation water over other irrigation schedules. It is recommended that 7 7-day irrigation interval be maintained, while irrigation depth can be reduced by up to 15% for optimum water productivity.

Small ruminant farmers’ feeding strategies to cope with climate change across five agroecological zones of Benin, West Africa

This study aimed to understand feeding strategies used by small ruminant farmers to cope with climatic change in the five contrasting agroecological zones (AEZ) of the Benin Republic and to identify the determinants of adopting these strategies. A semi-structured questionnaire was used to conduct interviews with 400 smallholder farmers in the rural areas of Benin. Data was collected on production system characteristics, farmers’ perception of climatic changes' impacts on livestock production, and their coping strategies. Cross tabulations with Chi2 statistic and the non-parametric Kruskal Wallis test were used to compare farmers’ perceptions and coping strategies between the five AEZ. Then, the binomial logistic regression was used to identify determinants of using a particular adaptive feeding strategy. The farmers perceived climatic changes as rainfall delays, increasing rainfall, less frequent drought periods during the rainy season, no change in sunshine duration, and no change in temperature. These changes negatively affected grassland biomass production (86.3%, 86.3% and 77.5% of farmers in South Borgou, Plateau, Atacora chain AEZ, respectively) and water availability (100%, 93.7%, and 85% of farmers in Oueme Valley, Plateau and Mekrou-penjari AEZ, respectively). Consequently, farmers mentioned decreased animal growth (58.8% and 45% of farmers in Plateau and South Borgou AEZ, respectively) and increased animal mortalities (43.8% in Plateau AEZ). Farmers' current and future coping strategies varied significantly (p<0.05) among AEZ. These strategies included more diversification of feed resources used, more free wandering of animals, feeding intensification with supplements as current strategies, and new feed resource exploration and forage cultivation as future strategies. Logistic regression results showed that gender, education level, main activity, and the climatic and agroecological zones where the farm is located influenced the strategies used. The study showed that farmers understood climate change and its impact on production systems. In response, the common climate-smart feeding strategies adopted were mainly diversifying feed resources. Feed resources use strategies, and limitations to adopting these strategies, could be assessed in future studies.

Determinants of the factors affecting the governance structure choice of the pineapple value chain: A case study on market-based agroforestry in Bangladesh

This study examines the governance structures selected by pineapple farmers in the agroforestry system of Bangladesh and the determinants that impact their choices for these structures. To evaluate the factors influencing farmers' decisions to participate in spot markets, bilateral agreements, or association transactions, the study utilizes both quantitative and qualitative approaches, including surveys of 200 farmers, 15 focus group discussions (FGDs), and 2 key informant interviews (KIIs). In order to choose individual participants, the study employed a stratified random sampling technique. Utilising a multivariate probit (MVP) model, the study reveals crucial factors like age, education, farming experience, farm size, market certainty, weather influence, market connection, and pre-delivery conditions. Analysis indicates that spot market is the most favored governance structure (GS) among the three options in the agroforestry system, followed by bilateral transactions and association agreements. Evidence suggests that younger and less educated farmers tend to favor associations, whereas more experienced farmers tend to favor bilateral partnerships. Farms of bigger size typically refrain from joining groups, and unfavorable weather circumstances decrease the probability of engaging in spot markets. The study also demonstrates that robust market links exert an impact on the selection of governance frameworks. Considering the results, the study suggests enhancing training programs to facilitate farmers' understanding and involvement in associations, motivating farmer associations to appeal to larger farms and small farmers, and enhancing market information systems to establish robust market connections.

Farmers’ Perception and Financial Profitability of Mustard Production in Bangladesh

The study was undertaken to assess farmers’ perception and explore the factors affecting farmers’ decision to adopt mustard production along with estimate financial profitability and identify potentials and problems of mustard production. Based on stratified random sampling, 120 farmers were interviewed using a structured questionnaire to collect primary data from different villages of Ullahpara upazila under Sirajganj district of Bangladesh. A combination of descriptive statistics, mathematical and statistical technique was used to analyze the data and to achieve the objectives. The study depicts that the highest number of the respondents (35%) belong to the 31-45 age group. Seventy two percent respondents were small farmers having land less than 1.0 hectare and they allocated 34% of their farm area for mustard production. Financial profitability analysis shows that mustard production was profitable on both variable cost and total cost basis and its benefit cost ratio (BCR) was more than one. In case of farmers perception, it was revealed that short duration crop, consumers’ preferences, product price, extension services and sharing of work among household members were the main driving factors for mustard production. Applying dichotomous logistic regression model, four factors namely, farmers’ age, number of family members, experience and farm size were found as significant determinants of adoption of mustard production. Large domestic market, limited use of high-yielding varieties, growing demand for mustard oil and attack of pests and diseases were found as important strength, weakness, opportunities and threats of mustard production, respectively. Finally, the study recommends that there are ample opportunities to enhance mustard production by ensuring access to quality seeds, adopting new technologies, securing fair prices, providing input subsidies, and improving institutional credit facilities with favorable terms and conditions. Bangladesh J. Nuclear Agric, 38(1): 65-80, 2024

Standardization of Various Chemical Seed Priming on Seed Quality Parameters in Black Gram (Vigna mungo)

Black gram is an important pulse crop in India. It is a major source of dietary protein for the poor people and provides nutritional security. It is mostly grown by the small and marginal farmers under resource constraints situation particularly in rainfed and rice fallow conditions. Seed priming is one such effective technology to achieve high growth, vigor, better stand establishment. The current study aimed to study the standardization of various chemical on crop growth in black gram. A laboratory experiment was conducted in Factorial Completely Randomized Design (FCRD) with three replications using various concentrations (1%, 2%, 3% and 4 %) as first factor and different durations (4 and 6 h) of priming as second factor and different chemicals such as ZnSO4, MnCl2, MgSO4, CaCl2, KCl and KNO3 as third factor. Seeds were primed with different chemicals in different concentrations and in different duration evaluated for its quality parameters to find out suitable seed priming technique. Among all treatments seed priming with ZnSO4 1% for 6 hours recorded higher germination (98%), longest root length (22.17 cm), shoot length (19.15 cm), higher seedling dry matter production (0.93 g seedlings-10), fresh weight (8.93 g seedlings-10) and vigor index (4004) than control under laboratory experiment. The results indicate that use of ZnSO4 1% for 6 hours enhances the seed performance regarding seed quality characters.

Integrated farming system for resource recycling, sustainability, and employment generation among the small and marginal farmers in Vidarbha region of Maharashtra

Integrated farming system for resource recycling, sustainability, and employment generation among the small and marginal farmers in Vidarbha region of Maharashtra

Prevalence of bean scab caused by Elsinoë phaseoli and challenges associated with bean cultivation in Kenya.

This study investigated the prevalence of scab caused by Elsinoë phaseoli causing yield losses on beans in Kenya. The research focused on common practices and challenges faced by subsistence farmers with the aim of providing insights into scab prevalence, impact, and potential management challenges. A structured questionnaire was employed in a survey conducted in 2022 and 2023, covering major bean-growing regions using a three-stage sampling design. Data from 128 bean farmers included information on farm size, seed sources, cropping systems, awareness of challenges, and pest/disease management practices. Scab prevalence was determined by scouting for symptoms, with a total of 84 farms surveyed in 2021. The incidence of bean scab was confirmed in all surveyed clusters, indicating its widespread occurrence across various agro-ecological zones. Farmers exhibited common practices such as preference for uniform bean seeds (61%), use of uncertified seeds (83%), intercropping (80%), and limited crop rotation. Challenges included disease and pest infestations, with limited diversity in management options. Confirmation of the presence of bean scab in diverse agro-ecological zones emphasizes its importance and the need for further research on its impact and epidemiology. Challenges with crop rotation were evident due to small farm sizes and subsistence-focused farming. The study recommends further research for a comprehensive understanding of the link between increased scab importance and current bean farming practices such as short rotation periods and the use of susceptible varieties. Training programs are also vital to improve farmers' knowledge on safe agro-chemical use, ensuring sustainable constraint management in common bean cultivation in Kenya.

Drought Adaptation Strategies Among Smallholder Cereal Farmers In Makueni County, Kenya

Increasing frequency and severity of drought increase vulnerability of smallholder cereal farmers globally. Arid and Semi-Arid Lands cover 80% of Kenya and location around the equator are major factors in drought development in the country. Frequent droughts result in fluctuations in cereal yields hence food insecurity in Makueni County. This study evaluated community-based and indigenous knowledge drought adaptations practiced by smallholder cereal farmers in Makueni County, Kenya. This study adopted explanatory sequential mixed methods research design. Household surveys (N=225) and key informant interviews (N=16) were used. Descriptive techniques were used in data analysis. The study found that frequent droughts in Makueni County resulted in adoption of small farm sizes for production of maize, sorghum and finger millet. Majority of the farmers produced between 1 and 10 bags of cereals. Majority (50.2%) of the smallholder cereal farmers who adopted community-based adaptations and indigenous knowledge-based drought adaptations strategies recorded an in increase in cereal yields in Makueni County. Early planting (66.7%), timely weeding (61.4%), manure application (57.0%), improving land tillage (56.1%), seed spacing (55.3%) and planting droughtresilient seeds (44.7%) led to the high annual cereal yields ranging between 1 and 10 bags in Makueni County. The drought adaptation strategies are commendable for upscaling in agro-ecological zones with similar climatic conditions in order to improve food production in the country. Information and data generated by this study is expected to result in improvement in drought adaptation policy formulation and adaptive capacity of smallholder cereal farmers hence, improvement in food production and security.

SUSTAINABLE STRATEGIES FOR INTEGRATED MANAGEMENT OF BREVICORYNE BRASSICAE IN CABBAGE CULTURE: ECOLOGICAL APPROACHES AND IMPACT ON BIOLOGICAL CONTROL IN MOZAMBIQUE

Cabbage (Brassica oleracea) is a vegetable widely cultivated due to its nutritional and economic value, especially for small farmers. However, kale production faces significant challenges, mainly due to attacks by aphids (Brevicoryne brassicae), a pest that causes wilting and deformations in plants and acts as a virus vector. In regions such as Southern Africa, inadequate control of this pest has resulted in considerable losses in production, reaching 40% in Mozambique.The adult stage of Brevicoryne brassicae is the most damaging, especially affecting the cabbage crop during its vegetative phase, when the plants are most vulnerable. Effective management of this pest involves continuous monitoring and the use of Integrated Pest Management (IPM) practices, which include cultural, biological and chemical methods. Applying these techniques in an integrated way, adapted to local conditions, can significantly reduce damage and improve agricultural productivity, promoting food security and sustainability for small Mozambican farmers.

Novel Specifications Regarding Biogas Production from Agriengineering Activities in Romania

This study centers on examining the carbon/nitrogen (C/N) ratio and metal levels in various batches of manure and their potential impact on biogas production through anaerobic fermentation. A novel aspect of this research involves the utilization of nine distinct batches sourced exclusively from livestock manure found in Romanian farms, without mixing with other potential substrates. At present, the farms are not harvesting manure for energy, but they are keen to invest in biogas production in the future as a necessary step towards renewable energy in a circular economy and a bio-waste management model. As a general conclusion that is resulting, it is shown that both the C/N ratio and the content of heavy metals in animal manure must be known when dealing with the animal manure fermentation process, especially when aiming for biogas production. The C/N ratio in the analyzed samples ranges from 6.7 to 30.2. While the ideal ratio is often considered 20–30, good methane production can occur outside this range, as seen in Sample B (small pig farm), with a C/N ratio of 13.8, proving the highest methane output. This shows that the C/N ratio is important but not the only factor influencing biogas generation. The metal content in the manure samples is similar to other studies, with potassium (K) ranging from 1.64% to 8.96%. Calcium (Ca) and K are the main metals found, posing little concern. The variation in values is linked to feed recipes. Monitoring heavy metals is crucial not only for biogas production but also for the safe use of animal manure as fertilizer, as soil contamination limits must be continuously supervised. The results are also valuable for the management of waste used as fertilizer in agricultural fields in accordance with EU law.