Source Of Income For Farmers Research Articles

Response of Yield of Shallot (<i>Allium ascalonium</i> L.) to Nitrogen Fertilizer Rates and Spacing Under Irrigation at Mulo, Ethiopia

The shallot (<i>Allium ascalonium</i> L.) is one of the important alliaceous crops cultivated in many tropical countries. It is an important horticultural crop used to flavor the local stew "wot" and a source of income for farmers in Ethiopia. However, the productivity of shallot is low at study area due to various limiting factors such as low soil fertility, plant population and lack of improved agronomic practices. A field experiment was conducted to investigate the effect of intra-row spacing and nitrogen fertilizer levels on growth, yield and quality of shallot at Mulo District, Oromia Regional state, Ethiopia during 2021/22 off season. The treatments consisted of four intra-row spacing (5, 10, 15 and 20) cm and four levels of nitrogen fertilizer (0, 50, 100 and 150) kgNha<sup>-1</sup> tested in a randomized complete block design with three replications. Data on shallot yield was collected. The interaction effect of intra-row spacing and nitrogen fertilizer influenced the marketable yield, unmarketable yield, bulb weight, bulb fresh weight, bulb dry weight, dry matter and total yield. As a result, the treatment combination of 150kgha<sup>-1</sup> nitrogen and 15cm intra-row spacing yielded the highest net benefit of shallot (Eth-Birr 1,012,274), followed by the treatment combination of 150kgha<sup>-1</sup> nitrogen and 20 cm intra-row spacing. In conclusion, the above findings indicated that the combined application of 150kgNha<sup>-1</sup> with 15 cm spacing can improve shallot growth and productivity in the Mulo district area. However, more research needs to be done in different seasons and locations, taking into account the application rate of nitrogen fertilizer and different intra-row spacing, to generate more reliable information.

Impact of Kinnow Production on the Socio-economic Conditions of Farmers in the Agra Region

The cultivation of Kinnow, a hybrid mandarin fruit, in the Agra region has significantly impacted the socio-economic conditions of local farmers. This study examines the effects of Kinnow production on farmer livelihoods in 10 selected villages within the Agra district. Data collected from 100 Kinnow-growing farmers revealed that the crop contributes substantially to income generation, improving the financial stability of farmers. Factors such as landholding size, access to credit, and market linkages influence the profitability of Kinnow orchards. Despite challenges like market fluctuations and environmental conditions, the introduction of Kinnow has provided an alternative source of income for farmers in a semi-arid region. Additionally, this study outlines the costs involved in establishing and maintaining Kinnow orchards, highlighting the initial high investments required, followed by a significant return as orchards mature. The findings suggest that Kinnow production is a viable and profitable agricultural enterprise that can contribute to both economic growth and social development in the region.

The role of Teff crop in Ethiopian life: consumption and contribution to rural livelihoods

Teff (Eragrostis tef) is believed to be the smallest grain in the world. It is the most important crop in Ethiopia in terms of production and consumption. Smallholder farmers produce Teff, and it is the main source of income for farmers in comparison to other cereal crops. Teff is the daily staple food for over 50 million Ethiopians. There is a need for information on agricultural consumption, disaggregated at district level, to support evidence-based decision-making at local level. The objective of this paper is to understand the consumption of Teff among rural smallholder producers at district level and assess the position of Teff among cereals in the lives of Ethiopian rural farmers. The study employed a multistage sampling technique to select the top Teff producing regions, districts, and kebeles (small administrative units) and collected primary data through focus group discussions (FGDs), key informants, and questionnaire respondents. The survey collected qualitative and quantitative data from 357 households. FGD, key informant interview (KII) participants and survey respondents were drawn from the same areas where the survey was conducted. The quantitative and qualitative data were subjected to statistical and content analysis respectively. The study findings revealed that on average households consume 26.92% of their Teff production per year. Moreover, there is a shift in the consumption of Teff which might be due to improved standards of living among the farmers, a health-conscious community, and improved income from Teff sales. Although Teff is a staple grain in Ethiopia, there is a statistically significant variation in Teff consumption among districts.

Integrated Farming System: A Sustainable Approach towards Modern Agriculture

Integrated farming system (IFS) is an integrated approach towards sustainable agriculture in this modern era. It is the integration of various agricultural enterprises or practices such as crops, livestock, Poultry, fish, agroforestry, horticulture, vermicomposting, Mushroom cultivation and beekeeping, in a single farming system. IFS is considered as the efficient tool for enhancing the profitability of farming systems especially for small and marginal farmers. The purposes or objectives of the IFS are: It enhances the productivity per unit area; Agriculture waste management; Soil health management and soil conservation; Generation of diversified income round the year; less use of chemicals; Increasing the yield of all integrated components and food security. IFS include various components or enterprises. These enterprises not only increase the farmer’s income but also increase employment generation of a family. The juadicious integration of these agricultural enterprises improves the socio-economic status of the farmers. The crop production component of IFS includes the cultivation of various economically important crops such as cereals, pulses, vegetables, fruits, and herbs. To maintain the soil health & fertility and management of Plant diseases and pests, various cultural methods such as intercropping, crop rotation, soil solarisation, organic amendment, Mulching, etc. Mushroom cultivation is also one of the important enterprises in IFS that contribute towards increase in farmer’s income. Another important component of IFS includes the rearing of different types of livsestock such as cows, goats, sheep, Duckery, Piggery, Apiary, and poultry. Livestock provides a source of income and produces manure, which can be used as fertilizer for crops. Biogas is another enterprise which is the use of agricultural and animal waste to produce energy. This Bioenergy helps to reduce the dependence on fossil fuels and provide a source of income for farmers. There are various models that can be used in IFS like Horticulture+ Piggery+ Fisheries+ Plantation crops and Agriculture+ Horticulture+ Poultry+ Fishery+ Mushroom. Hence, Integrated Farming System is a promising approach for increasing productivity, increasing farmer’s income by utilizing the agricultural and animal waste, recycling farm by-products and efficient utilization of available resources.

EFFET COMPARE DES FERTILISATIONS ORGANIQUES ET MINERALES SUR LA PRODUCTION ET LA CONSERVATION DE LA TOMATE FRAICHE (Solanum lycopersicumL.) DANS LA PREFECTURE DE LA KOZAH AU TOGO

The tomato (Solanum lycopersicum) is a crucial vegetable for human nutrition and an important source of income for farmers. In response to increasing demand, producers increasingly use chemical inputs, raising serious health and environmental concerns. As a perishable fruit, the tomato rapidly deteriorates after ripening, making preservation a major challenge. To promote sustainable production and conservation, a study was conducted at the agriculturalexperimental station of the University of Lome, located atTchitchao, in the Kara region of Togo. The study assessed the effects of four types of fertilizers on agronomic parameters and the shelf life of two tomato varieties - ANAYAand MONA. A randomized block design was employed, with five treatments: SR1 GOLD, poultry manure, compost, NPK, and a control. The results indicate that poultry manure significantly enhances the growth, yield, and conservation of tomatoes compared to the other treatments. The application of 20 t/ha of poultry manure increased production by 86.67% for the MONAvariety and 65.11% for the ANAYAvariety compared to the control. Additionally, the manure extended the shelf life by two weeks for MONA and one week for ANAYA, compared to the NPK treatment, under ambient conditions. Under refrigerated storage, tomatoes treated with poultry manure exhibited the lowest rate of spoilage up to the tenth week, suggesting that poultry manure is a viable alternative for improving both the production and preservation of tomatoes.

Agronomic Advances and Challenges of Chia Production in Kenya: A Review

Chia (Salvia hispanica L.) is an annual tropical plant belonging to the Lamiaceae family. In Kenya, Chia has gained significant attention in recent years due to its nutritional benefits and increasing demand in the local and global market. This review aims to explore the potential of chia production in Kenya as a source of income for farmers. The review highlights the agronomic requirements of chia, including soil, water, and climate conditions, as well as practices necessary for successful cultivation. Chia production is becoming a favorite enterprise for most farmers in Kenya due to its ease of management and short growth period. However, a seamless production has been encountered by several challenges, including scarce information regarding its agronomic management practices, poor yielding varieties, emerging pests and diseases, and poor harvesting and post-harvesting techniques. The growing demand for chia globally presents an opportunity for Kenyan farmers to tap into this market and generate income through export. Chia, has the potential to become a new golden crop for Kenyan farmers, contributing to food security, poverty reduction, and sustainable development. However, to realize this potential, there is a need for investment in research, extension services, and market linkages to support chia production, improve agronomic practices, and create a sustainable market for the crop.

Farmers’ perceptions and management of citrus fungal diseases in Benin

Background and aimCitrus production represents an important activity for the national economy and a source of income for farmers in Benin. However, fungal diseases are a major constraint to production intensification. The aim of this study is to assess farmers’ perceptions on citrus fungal diseases in production areas in Benin. MethodsA survey was conducted among 417 farmers between July and December 2021 in four major citrus-producing agro-ecological zones (zones V, VI, VII and VIII) to collect their perceptions, knowledge and management practices of citrus fungal diseases. ResultsFarmers reported that fungal diseases are one of the main constraints to citrus production, including black spot, anthracnose, brown rot, sooty mold and fruit rot. Among them, black spot disease is the most severe, causing damage to production. According to farmers, symptoms appear on fruit after fruit set, with a very remarkable presence and high incidence at maturity. Although farmers are most of times aware of the damage caused by fungal diseases with adverse consequences on their income, they have a poor knowledge of appropriate phytosanitary products to manage these diseases. Indeed, the majority of farmers (>60 %) use chemical insecticides, which they reported to be ineffective against citrus fungal diseases. Although chemical insecticides are their only recourse, almost 40 % use nothing to control these diseases. Farmers stated that climatic variability is a factor favoring the development of diseases, leading to reduced production. ConclusionsAmong the several citrus fungal diseases, black spot is perceived as the most damaging, causing greater yield losses under favorable conditions, coupled with an almost total absence of appropriate control methods. This study contributes to the reorganization of the citrus industry and to decision-making on capacity building for farmers in terms of orchard pest protection, in order to guarantee better production of marketable and exportable fruit.

Analysis of Distribution and Marketing Efficiency of Pineapples from a Sharia Economic Perspective

The agricultural sector plays an important role in long-term economic development and rural economic recovery in Indonesia. The development of agricultural-based businesses and sustainable agricultural systems is needed to improve the quality of human resources and agricultural products. Horticultural commodities, such as fruit, have high economic potential and can be a source of income for farmers. However, there are several obstacles in the agricultural sector, such as competition with other horticultural products, low quality and quantity of local supplies, and a lack of transparent market information. In addition, distribution in Islam has principles that can be applied in the context of the distribution of wealth and economic resources in Islam, such as justice, equality, public benefits, prohibition of exploitation, and social solidarity. This research aims to analyze pineapple marketing distribution and pineapple marketing efficiency from a sharia economic perspective. The research method used is field research using primary and secondary data. The research results show that there are two marketing distribution channels that are used, namely marketing distribution channel I and marketing distribution channel II. Marketing distribution channel I involves farmers selling directly to the city without intermediaries, while marketing distribution channel II involves collectors buying from farmers and selling to the city. Keywords: Distribution, Efficiency, Marketing

Factors Affecting Technical Efficiency in Potato Farming: A Data Envelopment Analysis (DEA) Study in East Java, Indonesia

Potato farming has a crucial role in promoting the agricultural sector of East Java, Indonesia, with significant consequences for regional economic growth and acting as the main source of income for farmers. However, the primary challenge that potato farmers face involves improving production efficiency in order to strengthen the sustainability and competitiveness of the agricultural industry. This study aims to analyze the technical efficiency of potato farming in East Java and identify the factors affecting this efficiency. The study focuses on the areas of Sumberberantas and Wonokerso in East Java, which serve as key centers for growing potatoes. The study includes a group of 82 farmers as respondents, with 40 from Sumberberantas and 42 from Wonokerso. Data Envelopment Analysis (DEA) is a method that systematically examines levels of technical efficiency. It is complimented by Tobit Regression Analysis, which assists in identifying the relevant elements affecting efficiency. The findings indicate that the average technical efficiency score is 0.840, suggesting that farmers have the potential to increase their efficiency by up to 16%. Gender and land area for potato farming are identified as crucial factors affecting technical efficiency, while age, education, and farming experience have no effect.

Adoption of the digital marketing among oil palm farmers: A review of methods, successes and challenges in Nigeria

Palm oil is an important commodity in the Nigerian economy concerning its role as a source of farm income and food requirements. This study reviewed the digital marketing techniques adopted by oil palm farmers in Nigeria. This study examined the evolution of the palm oil industry in Nigeria, highlighting its historical background, current challenges, and the potential solutions offered by digital marketing. It discussed the shift in global palm oil production from West Africa to Asia, particularly Indonesia and Malaysia, and the implications for Nigeria’s palm oil sector. Despite being a significant contributor to the Nigerian economy, the palm oil industry faces challenges such as slow growth, loss of export share, and competition from imports. Digital marketing emerges as a viable solution to these challenges, offering opportunities for reaching target audiences, improving brand loyalty, and overcoming resource constraints. It also examined the benefits and challenges of digital marketing in Nigeria, highlighting the high cost of advertising, infrastructure limitations, and cultural diversity as key obstacles.

Live Stock Shelter Management System using IoT and ML

In India, domestic animals are vital contributors to the country's economy, serving as a significant source of income for farmers and fulfilling various work and service roles. Keeping these animals safe and healthy in their shelters is really important because they mean a lot to farmers. Livestock farming faces big challenges, especially when it's raining, because bad weather can make the animals sick and less productive, causing problems like hoof issues.This project proposes an affordable shelter solution for Indian livestock, integrating IoT and machine learning to monitor environmental conditions. Sensors track temperature, humidity, gas levels, and soil moisture, with data analysed using the Arduino IDE and K means algorithm. Through predictive analysis, the system detects potential abnormalities like high temperatures, excessive humidity, elevated soil moisture, or the presence of harmful gases within the shelter. The predictive analysis also identifies specific stress conditions, such as heat stress from high temperatures, cold stress because, the temperature drops below the lower critical temperature, hoof diseases caused by increased soil moisture, and respiratory issues from harmful gas presence. Timely notifications are sent to user upon identifying such irregularities, enabling prompt interventions to mitigate health risks and improve herd welfare and productivity

Multidimensional poverty of ethnic minority households: A case study in A Luoi district, Thua Thien Hue province

“Poverty” is widely known as a multifaceted concept and could be evaluated using multidimensional measurements. In Vietnam, there is still too little research conducted at the micro level in villages, communes, and households. This study explored multidimensional poverty in ethnic minority communities in the Central region of Vietnam. Based on the result of the survey of 221 ethnic minority farmers in A Luoi district, Thua Thien Hue province, this study applied the Alkire-Foster method to measure the multidimensional poverty of farmers through 11 indicators of 6 aspects of poverty, including income, education, health care, housing, living standard, and information access. The results showed that about 39.82% of households are in multidimensional poverty. The degree of deprivation in the 6 poverty dimensions was not consistent, with a large proportion of shortages related to income (72.64%), housing area (6.04%), and adult education (6%). Using the Binary Logistic Regression model showed that 8 factors affect the multidimensional poverty of ethnic minority households, including family size, farm size, number of livestock, irrigation, diverse farm income sources, diverse non-farm income sources, distance to central markets, and number of adverse external influences. Critical recommendations from the study to reduce multidimensional poverty of ethnic minority households include: diversifying livelihood activities for households, both non-farm and on-farm, with a greater focus on livestock; maintaining and developing good agricultural production land, including investment in irrigation and mechanisation of production; strengthening support for farmers to access the market...

Genome-wide single nucleotide polymorphisms reveal the genetic diversity and population structure of Creole goats from northern Peru

Goat farming constitutes a significant source of income for farmers in northern Peru. There is currently an absence of information about the genetics of Peruvian Creole goats that would enable us to understand their origins and genetic spread. The objective of this study was to estimate the genetic diversity of Creole goats from northern Peru using SNP markers. This study involved the collection of 192 male Creole goats from three key goat production geographical departments in northern Peru. These goat samples were genotyped using the GGPGoat70k SNP panel. To explore the genetic influence of other breeds on Peruvian Creole goats, our dataset was combined with previously published SNP genotypes. External data set includes multiple breeds genotypes sampled from Argentina, Brazil, Spain, and Alpine breed from Italy, France, and Switzerland. After quality control 52,832 autosomal SNPs were used to assess genetic diversity in the Peruvian goats. For the population structure analysis of the merged data 20,513 common SNPs were used. Estimations for expected heterozygosity (He), observed heterozygosity (Ho), and inbreeding coefficient (FIS) were computed for the Peruvian groups. AMOVA, principal component analysis and ADMIXTURE were conducted to evaluate the population structure in the two data sets, Peru and merged. The results revealed a considerable genetic diversity, with Ho values ranging from 0.40 to 0.41 for the Peruvian sampling groups, and inbreeding coefficient was notably low for Peruvian goat. The population structure analysis demonstrated a distinction (p < 0.05) from other breeds. These findings suggest a level of genetic differentiation of the Peruvian goat population among other breeds, although further research is needed considering samples from other Peruvian areas. We expect this study will contribute to define genetic management strategies to prevent the loss of genetic diversity in Peruvian goat populations and for upcoming advancements in this field.

ANALYZING THE COMPARATIVE METHODS OF PREWITT, ROBINSON, KRISCH AND ROBERTS IN DETECTING THE EDGES OF RICE LEAVES

This research explores the vital role of rice in Indonesia as a staple food and primary source of income for farmers. Efforts are being made to increase rice production to meet the growing demand. The study focuses on object edge detection in image analysis, evaluating methods like Prewitt, Robinson, Krisch, and Roberts. Digital imaging plays a crucial part in visually presenting information, and image processing improves image quality for human and machine recognition. Detecting object edges, particularly in rice leaf images, is essential for computer inspection. The experiment on fifteen rice leaf images shows that the Krisch method performs better in edge detection, with a 52% average accuracy and smoothness. Other methods, such as Prewitt (6%), Robinson (11%), and Roberts (14%), have lower accuracy rates. These findings provide a foundation for enhancing edge detection in rice leaf image analysis. The study also emphasizes the need for refining classification models. Overall, this research provides insights into the effectiveness of edge detection methods in rice leaf image analysis.

FARMERS' WIFE INCOME SOURCES AND IT’S CONTRIBUTION TO THE HOUSEHOLD: AN ECONOMIC ANALYSIS

The wife's contribution to the family is unavoidable. In addition to preparing the husband's needs before and after he comes home from work, as well as taking care of all household needs, the wife's responsibility is working to help the husband in meeting the needs of his household. The purpose of this study was to determine the income of farmer households, the source of income of farmer wives, and their contribution to the household. This study was carried out in Manongkoki Village, North Polongbangkeng District, Takalar Regency, in May and June 2023. In this study, 125 farmer's wives who worked outside the home were included. The sample used was 25% of the population so that the number of samples used in this study was 31 people. The sampling technique used is simple random sampling. This research uses a qualitative approach with a case study method. The data collection techniques used were observation and interviews using questionnaires. The data analysis techniques used were income analysis and income contribution analyses. The findings revealed that (1) the average household income was IDR 2,090,412 per month, (2) the sources of income for farmers' wives were farm laborers, traditional cake sellers, and grocery traders, and (3) farmers' wives contributed 34% of home income with a low category. Farming families appreciate this revenue contribution since it allows them to cove.

Does non-farm employment increase rural households’ consumption in western Ethiopia? Empirical evidence from the horo guduru wollega zone

In rural areas where farming is the primary source of income for farmers, engaging in non-farm activities can provide an additional source of income and improve household consumption. However, several social and economic factors present challenges to the involvement of rural households in non-farm activities. This study aimed to examine the impact of non-farm participation on household consumption in rural areas.A multistage sampling method was used to select the sample households from the study area. Heckman's two-step procedure was utilized to analyze survey data obtained from 383 rural household heads. The results indicated that participating in non-farm employment had a positive and significant effect on household consumption levels. The result indicated that households that engage in non-farm activities had higher levels of consumption compared to those who do not participate in such activities. The study also identified several factors that influence household consumption in rural areas. These factors include education, access to credit, distance to market, TLU (Tropical Livestock Unit), membership in “iqub" (a social financial system), health status, non-farm training, and gender. It was found that gender disparities exist, with female-headed households experiencing lower consumption levels than male-headed households. Based on the findings, the research recommended addressing gender disparities and improving rural infrastructure, particularly in relation to enhancing health services, electricity supply, road transport, and education. Efforts should also be made to overcome the challenges related to access to training and credit. The study emphasized the significance of recognizing the impact of supporting existing social financial systems, such as iqub, in improving household consumption in rural areas.

Empowering Crop Selection with Ensemble Learning and K-means Clustering: A Modern Agricultural Perspective

Introduction Agriculture is an intricate blend of scientific principles and practical techniques that facilitate the growth of crops and the cultivation of livestock. It involves the careful cultivation of the land to produce essential food, fibers, and various other agricultural products. Methods Effective agricultural planning fosters self-sufficiency in food production, offers a source of income for farmers, and contributes to government revenue. This research focuses on utilizing ensemble learning techniques and K-means clustering to predict optimal crop types for specific environmental conditions and categorize crops according to their environmental requirements. This approach aims to refine crop selection strategies significantly. Results The study, employing a comprehensive dataset, applies these advanced methods, yielding accurate predictions and deeper insights into the interaction between crops and their growing environments. Conclusion These findings suggest a potential revolution in agricultural decision-making, highlighting the benefits of these methodologies in enhancing crop yield, reducing environmental impact, and promoting sustainable agricultural practices. The outcomes underscore the impact of data-driven approaches in modern agriculture, offering a promising direction for future agricultural development.

Income and Feasibility of Rice Farming (Oryza sativa L.) in Pauh Duo District South Solok Regency

Rice is one of the food crops in the agricultural sector, providing sustenance in the form of rice consumed by the majority of the population. Additionally, it serves as a crucial source of income for farmers. This study aimed to analyze the characteristics of farmers, analyze the income and feasibility of lowland rice farming in Pauh Duo District, South Solok Regency. Proportional random sampling was used to select respondents, with a total of 45 participants drawn from a population of 4032 individuals. Income and feasibility analyses were conducted as the primary tools for examination. The results showed that the average income obtained by rice farmers was Rp13,843750.00/ha/MT, with the average cost was Rp7,270,669.79/ha/MT. Consequently, the average income accrued was Rp8,760,453.65/ha/MT. The R/C analysis demonstrated the feasibility of lowland rice farming in the Pauh Duo District, South Solok Regency, with an obtained R/C value of 1.90. This implied that every Rp1 incurred as a cost by the farmer generated an income of 1.90.

Molecular prevalence, associated risk factors and phylogenetic evaluation of Theileria lestoquardi in the blood samples of small ruminants.

Raising small ruminants is the main source of income for farmers in Pakistan especially in rural areas of Dera Ghazi Khan in Punjab. Despite having large sheep population, the prevalence of intra-erythrocytic protozoa, Theileria (T.) lestoquardi, has never been reported from this area. This study was conducted to fill this knowledge gap and 333 blood samples of apparently healthy small ruminants (168 sheep and 165 goats) along with their epidemiological data were collected from Dera Ghazi Khan district during August till November 2022. The polymerase chain reaction (PCR) analysis amplified a 785 base pair amplicon specific for the Merozoite surface antigen (ms 1-2) gene of T. lestoquardi in 2 out of the 168 (3.3%) sheep blood samples, while no goat blood sample out of 165 was found to be infected with T. lestoquardi. DNA sequencing confirmed the presence of Theileria lestoquardi in both samples and phylogenetic analysis revealed that these amplicon resembled the partial ms 1-2 gene sequences detected in small ruminants from Pakistan, India Iran and Egypt. All the studied epidemiological factors (age, sex, breed, size of herd, dogs with herd, composition of herd, size of herd and Tick burden on sheep) were not found associated with the prevalence of T. lestoquardi. In conclusion, this study reports a low prevalence of T. lestoquardi infection in the Dera Ghazi Khan District of Punjab, Pakistan. The data generated from this work will help pave the way for the prophylactic detection and control of ovine and caprine theileriosis in the region.

A gender-responsive breeding approach to the intensification of sesame (Sesamum indicum L.) production in the Maradi region of Niger.

Climatic variability and a decrease in soil fertility have had a detrimental effect on the productivity of the main rainfed crops in Niger (millet, sorghum, and cowpea) and led to a deterioration of the nutritional status and income of the country's farmers. The spatio-temporal variability in rainfall has led rural populations to diversify their farms by integrating sesame (Sesamum indicum L.) into their cropping systems because of its low water and fertilizer requirements. Sesame is increasingly becoming a significant source of income for farmers, and it contributes to their food and nutritional security. To boost the production of sesame and facilitate its rapid adoption, our breeding program focused on participatory breeding and varietal selection with the inclusion of gender-specific preferences, from the variety design to the evaluation of new lines on farms. This case study shows that, although women have more experience in sesame cultivation than men, they have less access to production factors such as land. This limited access is especially problematic, as recent trends in land tenure mean that the poorest are no longer able to exploit large areas of cultivable land. It also evidenced that the varietal preferences of sesame growers as well as the mastery of production techniques are a function of the livelihoods and the investment capacity of actors in the value chain. Our study found that men mainly prefer production traits, whereas women have fewer trait preferences, and their preferences tend to be related to marketing and processing. This finding highlights the contrasting roles and responsibilities between men and women in the sesame value chain. Therefore, the inclusion of complementary traits preferred by women and men, provided that they are not negatively correlated with a variety profile, will help meet the full range of needs across the value chain. We recommend the inclusion of gender research in setting breeding goals prior to variety design.