Department Of Agriculture Research Articles

Resistance to powdery mildew in Irish oat heritage lines

Cereal breeding in Ireland took place in the early twentieth Century to establish native Irish oat cultivars with higher grain yields. However, the production of Irish cultivars declined rapidly from 1973 as the import of international, commercially bred oat cultivars increased which were tested for suitability to Irish climatic conditions. A collection of these heritage oat accessions has been maintained by the Department of Agriculture, Food and the Marine (DAFM). In this study, we investigated a collection of heritage oats for possible resistance to powdery mildew caused by the fungal pathogen Blumeria graminis f. sp. avenae (Bga). We identified Bga resistance in two historical oat accessions (Tyrone 1994 and Sandy). This resistance was mediated by high levels of papillae formation and/or encasements to an Irish single spore isolate. However, intermediate resistance was observed when using a range of Bga isolates.

Geography, creative workforce and access to venture capital

PurposeThe purpose of this study is to investigate how proximity to metropolitan areas and local creative talent impact a company’s access to venture capital (VC). We analyze the interplay between these factors and test our hypotheses using USA county data.Design/methodology/approachThis empirical study uses multivariate regression analyses to analyze VC investment distribution across the USA at the county level between the years 1990–2011.FindingsOur findings suggest that an increase in the local creative workforce correlates with higher levels of VC funding, regardless of metro location, but has a more significant impact in metro areas, indicating the complementary nature of these factors. Furthermore, the tech industry benefits more from the local creative workforce and is less sensitive to geographic location. Our results suggest that non-metro locations with a rich local creative culture can be as effective in attracting VC as metro locations with a mediocre local creative culture. This study contributes to our understanding of the optimal geographic location for companies seeking VC.Research limitations/implicationsOne of the limitations of our research is the research timeline. Since “creative class” was not measured by the U.S. Department of Agriculture (USDA) after 2011, we cannot analyze the recent effects of creative class on VC. However, given the fact that technology-related industries increasingly dominated the VC industry in recent years, our results on tech-related industries can shed light on the future expectations of the creative class in the VC industry moving forward.Practical implicationsSome companies might find it advantageous to locate outside metro areas where the creative workforce is more abundant and accessible. Our results support this trend by demonstrating that companies must consider the tradeoff between these two factors and recognize that locating in metro areas may not always be the optimal choice for every company. A tradeoff may exist between location and the cost of accessing creative talent.Social implicationsOur results suggest that non-metro locations with a rich local creative culture can be as effective in attracting VC as metro locations with a mediocre local creative culture.Originality/valueThe existing literature emphasizes the importance of studying various factors that can help distribute VC and entrepreneurial activities across the country instead of just being concentrated in specific areas like metro regions. Although previous studies have examined broader institutional and country-level factors, local creative culture has not been considered in the context of its impact on the geographical distribution of VC. Our research highlights creative culture as a new local factor that affects VC distribution among USA counties.

The Mosquito Fauna of Arizona: Species Composition and Public Health Implications.

Arizona is home to many mosquito species, some of which are known vectors of infectious diseases that harm both humans and animals. Here, we provide an overview of the 56 mosquito species that have been identified in the State to date, but also discuss their known feeding preference and the diseases they can (potentially) transmit to humans and animals. This list is unlikely to be complete for several reasons: (i) Arizona's mosquitoes are not systematically surveyed in many areas, (ii) surveillance efforts often target specific species of interest, and (iii) doubts have been raised by one or more scientists about the accuracy of some collection records, which has been noted in this article. There needs to be an integrated and multifaceted surveillance approach that involves entomologists and epidemiologists, but also social scientists, wildlife ecologists, ornithologists, representatives from the agricultural department, and irrigation and drainage districts. This will allow public health officials to (i) monitor changes in current mosquito species diversity and abundance, (ii) monitor the introduction of new or invasive species, (iii) identify locations or specific populations that are more at risk for mosquito-borne diseases, and (iv) effectively guide vector control.

Measuring the economic contribution of Agricultural and Applied Economics departments in the United States

AbstractAgricultural and applied economists make substantial positive contributions to the domestic economy. Defining a measure of the true total value of their contributions is likely impossible, because so much about their efforts is difficult to comprehensively observe and quantitatively document. In this paper, we adopt a conservative approach to generating an estimate of the contributions ag and applied economists make to U.S. economic output and the associated welfare of society through their teaching, research, and outreach efforts. To conduct the analysis, we implemented a nationwide survey of Agricultural and Applied Economics (AAE) departments and developed a framework to calculate the value of their contributions to national income, or Gross Domestic Product (GDP). We estimate that AAE departments increase overall U.S. GDP by $2.6 billion, annually. Through its efforts to improve the human capital of its graduates, AAE teaching raises the (expected) national income by $2.2–$2.3 billion, while we value direct research and outreach contributions at $207 million and $146 million, respectively. Because we do not observe the opportunity cost of the resources used to generate those contributions, we do not claim to estimate a true net economic impact but rather attempt to quantify the gross economic contributions of the professional services AAE departments currently offer the economy. The values we provide—especially the research and extension estimates which are exceedingly difficult to measure—likely underestimate the true benefits AAE offers to the nation.

Government Agency Resources for Florida Blueberry Growers

Several federal, state, and local government offices and agencies offer assistance and resources to Florida blueberry growers. These include the University of Florida and IFAS Extension, the U.S. Department of Agriculture (USDA), the Florida Department of Agriculture and Consumer Services (FDACS), and various Florida water management districts. This publication summarizes some of the resources and assistance available from each of these agencies, along with website links as a starting point for growers to use in learning more about and accessing that assistance.

Hungry, Stressed, and Away From "Home": Predictors of Food Security and Perceived Stress Among International Students.

Examine the predictors of food security and perceived stress among international students. Cross-sectional Design. A public university in the Southwest United States. Sample size of Seventy-three participants (≥18 years). Self-report measures of food insecurity and perceived stress. The U.S. Department of Agriculture (USDA) Adult Food Security Survey Module (AFSSM) to assess food security status, and the Perceived Stress Scale (PSS-10) questionnaire to evaluate stress levels. Logistic regression was performed to identify predictors of food security and perceived stress. Duration of stay in the U.S. was a predictor of food security status, while gender was a predictor of perceived stress. International students in the U.S. for less than a year had a lower chance of being food secure [OR (95% CI) = 0.22 (0.05 - 0.74)]. Female international students had a lower chance of experiencing low perceived stress [OR (95% CI) = 0.07 (0.00 - 0.51)]. In supporting international students, targeted nutrition and stress management interventions should be emphasized, particularly for females and those who recently moved to the U.S.

Cost and revenew analysis of arrowroot farming in Yogyakarta, Indonesia

Abstract Arrowroot is a commodity that has been cultivated for generations in Yogyakarta. Arrowroot can grow on land that is exposed to little sunlight that can be planted on yard or even developed on a large scale on land under crop stands so that it can increase land productivity and increase farmers’ income. Arrowroot can be used as raw material for flour. As a result, Garut is a viable local food source with economic potential that should be considered in future. This study aimed to determine the costs, revenues, incomes, profits, and efficiency of arrowroot farming in Yogyakarta, Indonesia. The basic research method used in this research is descriptive and analytical. This study used survey techniques to conduct door-to-door interviews with arrowroot farmers. The purposive sampling method was used to select the sample, with respondents being farmers who actively cultivated arrowroot every year and were registered in Department of Agriculture and Food Security of Yogyakarta. The total research sample was 92 farmers spread across 3 sub-districts in Yogyakarta. Cost analysis, revenue, income, farm profit, and the R/C ratio were all used in the analysis. The results showed that the average farming costs in one growing season consisted of explicit costs of IDR 1,634,728.07/ha and implicit costs of IDR 21,034,373.62/ha. The average farm revenue was IDR 13,491,298.19/ha. The average farm income was IDR 11,856,570.12/ha. The average farm profit was -IDR 9,177,803.50/ha. The average R/C ratio on explicit costs was 8.25, meaning the farm is efficient, and the average R/C ratio on total costs was 0.60, meaning the farm is inefficient.

Assessing the Nutrient Content of Plant-Based Milk Alternative Products Available in the United States

BackgroundConsumption of plant-based milk alternatives is increasing. Current dietary guidance primarily relies on dairy milk as a source of key nutrients of public health concern including calcium and vitamin D. ObjectiveTo compare the nutritional content of plant-based milk alternatives between categories (eg, soy, almond, and oat) and with dairy milk. DesignThis study presents an evaluation of the nutritional content of 219 plant-based milk alternatives from 21 brands available in the US marketplace using data from the University of Minnesota Nutrition Coordinating Center’s database. Main outcome measuresNutrients of focus include those identified as nutrients of public health concern in the Dietary Guidelines for Americans or used by the US Department of Agriculture as criteria for determining whether a plant-based milk is a suitable substitute for dairy milk. Statistical analyses performedMost data are presented as percent Daily Values. Nutrients and food components were compared using means, medians, IQRs, and ranges. Statistical tests for significance were not used to evaluate between category differences because the plant-based milk alternatives included are a full census of the products from 21 brands available in the marketplace. Because data are a census, differences can be understood to be true differences. ResultsFortified soy-based products most closely mimic the nutrient content of dairy milk. High variability was present in all the nutrients and food components. Plant-based milk alternatives were generally lower in protein and saturated fatty acids than dairy milk, with high variability in added sugars content. Approximately 70% were fortified with both calcium and vitamin D. ConclusionsThese results indicate that most plant-based milk alternative products are not nutritionally equivalent to dairy milk, and there is high nutritional variability between and within product types. These findings highlight the importance of communicating the nutritional differences between plant-based milk alternatives and dairy milk to consumers.

Bibliometric analysis of management practices in US corn (1990–2020)

AbstractBibliometric analysis explores large volume of scientific data, revealing trends and insights in a specific research field. Consistently, a bibliometric analysis of 30 years (1990–2020) was performed within the US corn (Zea mays L.) production using the Scopus database and VOSviewer. Search query was performed within the article title, abstract, and keywords indicative of management practices in corn. Exclusion criterion based on subject area and journals generated a total of 7468 publications. The data analysis revealed contributions from 7327 authors and 47 organizations documented in 69 journals. The top five organizations leading the investigation were United States Department of Agriculture – Agricultural Research Service, Iowa State University, University of Nebraska, University of Illinois, and Purdue University. The most prolific authors were Dr. Rattan Lal (Ohio State University, Columbus, OH), Dr. Douglas L. Karlen (USDA‐ARS, Ames, IA), Dr. Kenneth G. Cassman (University of Nebraska, Lincoln, NE), Dr. Lajpat Rai Ahuja (USDA‐ARS, Ft. Collins, CO), and Dr. John Walsh Doran (USDA‐ARS, Lincoln, NE). Journals with most publications were Agronomy Journal; Soil Science Society of America Journal; Soil and Tillage Research; Crop Science; and Agriculture, Ecosystems & Environment. Furthermore, author keywords differed from queried keywords, and no‐till, nitrogen, cover crop, soybean, irrigation, phosphorus, conservation tillage, yield, and water quality were most prominent. Moreover, there was an evident shift in keywords and an observed trend between 1998 and 2020. Overall, these findings allow researchers to explore network maps via the hyperlinks present in papers, identifying research gaps and advancing original studies to bridge gaps in the literature.

URBAN AGRICULTURE ACTIVITIES SCENARIO IN RELATION TO FOOD SECURITY: DELVE INTO URBAN FARMING PRACTICE

Urban agriculture is an alternative source of food for the urban population to achieve food security. The Department of Agriculture (DOA) Malaysia under the Community Agricultural Development Program targeted 8,800 metric tonnes of urban agriculture products by the year 2025. To understand the current state, this research aims to investigate the urban agricultural activities scenario in Malaysia through the role and responsibilities carried out by the government agencies to facilitate urban farmers and increase agricultural productivity. A qualitative approach was adopted by means of a desktop study to review journals and reports, as well as content analysis on multilevel government policies, and acts related to urban agriculture. Also conducted were in-depth interviews with government agencies officials and farmers, and a fieldwork. The findings indicate that (1) all three-tier governments have specific roles and responsibilities in facilitating urban agriculture through policies, instruments, incentives, and monitoring that cascade down from the federal to the local level; and (2) the need to improve coordination between agencies to optimise resources and monitoring. In conclusion, coordination between related government agencies and farmers is the key enabler to ensure food security for the urban population.

Margin Pemasaran Komoditi Kentang Di Kecamatan Modoinding Kabupaten Minahasa Selatan

The objectives of this study were to map market actors, calculate marketing margins for potato crops, and describe the potato marketing channels in Modoinding Sub-district. The research took place in May 2023 and was conducted in Modoinding District, South Minahasa Regency. Data were collected through primary data by conducting interviews with owners or farmers who cultivate potato crops using a list of questions (questionnaires) that have been prepared. Secondary data were obtained through literature searches from literature, articles, journals, previous research and relevant data and reports from relevant agencies such as the Department of Agriculture, BPS and district, sub-district and village governments to support primary data. Samples were taken from 30 people in 10 villages using simple random sampling and for traders using snowball sampling. The data obtained were analyzed descriptively, and using tables, and described in the form of surveys obtained through direct interaction with research subjects or test subjects using questionnaire techniques. The marketing channels obtained can be described as a whole pattern and level of marketing channels. The results of this study show that the potato marketing margin of each institution in Modoinding sub-district is different between Manado, Bitung, and Kotamobagu channels. Farmer's share received by farmers in the Bitung channel is higher than farmer's share in the Manado and Kotamobagu channels, but farmers still get the same purchase price. Channel (farmer - intermediary - retailer - consumer). Farmers still get the same price and the costs of labor and transportation are borne by buyers, namely collectors and retailers.

Relationship of Rice Farming Income with Socio-Economic Characteristics of Farmers

Characteristics are ways of thinking and behavior that characterize each individual to live and work together in a family environment and social community. The purpose of the study was to analyze the relationship between rice farming income and socio-economic characteristics of farmers. The research method used is the survey method. The Data used in this study is the primary data sourced from respondents obtained through interviews using questionnaires, which consists of data on social factors, namely; age of farmers, farmers ' education, farming experience, and the number of family dependents, as well as data on economic factors, namely: land area and farming capital. While the secondary data is research supporting data sourced from the Department of Agriculture and other stakeholders. Determination of the location of the study using purposive sampling method and for sampling of research respondents using simple random sampling method as many as 30 rice farmers. The data analysis used is Pearson Correlation analysis. The results showed that: age has a positive relationship that is not significant with income, level of Education has a positive relationship that is not significant with income, farming experience has a positive relationship that is significant with income, the number of family dependents has a positive relationship that is not significant with income, land area has a positive relationship that is very significant with income, and capital has a positive relationship that is very significant with the income of farmers in rice farming.

Global Weight Optimization on Artificial Neural Network for Optimizing Crop Yield Prediction Using Genetic Algorithm

Abstract: Accurate crop yield prediction is a complex and intricate task that encompasses a multitude of factors and variables, rendering it arduous to establish a dependable mathematical model. Conventional machine learning (ML) models for crop yield prediction have surpassed their efficacy. This research endeavour sought to enhance crop yield prediction accuracy by hybridizing a neuro-genetic model utilizing statistical data amassed over a 35-year period from various pertinent agricultural departments in Tamil Nadu, India, including the Statistical, Agricultural, and Meteorological Departments. This research delved into analyzing and identifying the optimal weight configuration for the artificial neural network (ANN) to bolster accuracy with the assistance of genetic algorithms (GA). Seventy-five percent of the data was employed to train the model, while the remaining 25% was utilized for model testing. To gauge the performance of this research work, 5-fold cross-validation was implemented. RMSE, MAE, and Adj R2 were employed to evaluate the performance and contrast the performance of the neuro-genetic model with the conventional ANN. The neuro-genetic model exhibited superior accuracy compared to the conventional ANN.

Perspectives of teachers about environmental education at the Higher Secondary Level. Chapingo Autonomous University Case

Faced with environmental problems, Universities become more important to contribute to the mitigation of their effects, as well as promote actions to raise awareness of the repercussions generated in the natural environment. The objective of this study was to know the perceptions of the teachers of the Agricultural High School department about the importance of environmental education in academic activities. Through a qualitative, interpretive approach, a semi-structured questionnaire was applied to 32 teachers. The results reflect that the majority of participants show interest, as well as openness to incorporating them into educational processes, regardless of the discipline of knowledge they exercise, recognizing the importance of updating themselves on sustainability issues. In conclusion, the articulation of 7 thematic elements is proposed for the significant study of these perspectives to promote the importance of environmental education in the curriculum and teaching practices.

Factors Influencing on the Evaluation System of Cold Chain Logistics Services for Agricultural Products in Guangxi Province, The People’s Republic of China

The objectives of this study were: (1) To study the factors that affect the evaluation system of cold chain logistics services for agricultural products in Guangxi Province, the People’s Republic of China. (2) To study the relationships between influence factors and the evaluation system of cold chain logistics services for agricultural products in Guangxi Province, the People’s Republic of China. (3) To build a model of relationship between quality management and the evaluation system of cold chain logistics services and propose suggestion for improving the evaluation system of cold chain logistics services for agricultural products in Guangxi Province, the People’s Republic of China. The study employed a mixed research methodology. In the quantitative analysis section, a questionnaire survey was conducted using simple random sampling. In the qualitative part of the analysis, in-depth interviews were conducted with eight senior managers from agricultural production departments, logistics management companies, fresh agricultural product sales companies, hotels, and government departments. The data analysis utilized statistics including frequency, percentage, mean, standard deviation, and structural equation model. Major Findings: the factors influencing the evaluation system of cold chain logistics services for agricultural products in Guangxi Province were examined. The identified influencing factors included agricultural product cold chain logistics quality management, logistics environment, and transportation efficiency. It was found that agricultural product cold chain logistics quality management has a significant positive impact on the logistics environment, transportation efficiency, and agricultural product cold chain logistics service evaluation system. At the same time, the logistics environment and transportation efficiency have a significant positive impact on the agricultural product cold chain logistics service evaluation system. This study presents the issues with the development of the cold chain logistics service evaluation system for agricultural products in Guangxi, along with countermeasures and suggestions for improvement.(1)Full utilization of existing resources to promote industrialization and modernization of fresh agricultural product logistics; (2) Development of a systematic agricultural product cold chain logistics system to support the agricultural product industry; (3)Strengthening the construction of cold chain supply chains for urban and rural agricultural products; (4)Expediting the introduction of energy-efficient and environmentally sustainable long- and short-distance cold chain transport vehicles; (5)The application of information technology is To be encouraged with a view to enhancing the efficiency and transparency of cold chain logistics.

Grassroots agroecology advocates challenge funding objectives focused on U.S. Department of Agriculture

First paragraphs: In the spring of 2023, members of the organiza­tions in La Via Campesina’s North America region who participate in the Seeds, Agroecology, and Biodiversity Collective became aware of plans for a summit on agroecology to take place in Missouri in May 2023. At the time, the Summit website stated that “The primary goal of the meeting is to elevate agroecology in the USDA National Institute of Food and Agriculture’s (NIFA) portfolio and ulti­mately increase the quality and quantity of public funding available for agroecology research.” Although this goal was later edited, the U.S. Agroecology Summit 2023 was partially funded by USDA NIFA. As members of the global peasant movement La Via Campesina, and as supporters, promoters, and practitioners of the principles of agroecology, we recognize the dangers of involving the U.S. Department of Agriculture (USDA) in our growing but fragmented movement, especially through funds allocated by the USDA for research into agroecology. Here in the United States, it is our responsibil­ity to ourselves and to peasants around the world to insist that any research, promotion, or discus­sion of agroecology be grounded in food sover­eignty, feminism, Indigenous knowledges, and bio­diversity, and to defend its fierce demand to end imperialism, capitalism, patriarchy, neoliberal market-based economies, free trade, false climate solutions, and corporate control of globalized food systems and resources. . . .

The Association Between Food Insecurity and Intimate Partner Violence Among U.S. Army Soldiers.

Food insecurity in the military ranges between 25% and 33%, significantly higher than the 10.5% for civilians reported by the U.S. Department of Agriculture. The primary objective of this study is to analyze the association between food insecurity and intimate partner violence (IPV) victimization among U.S. Army Soldiers. The secondary objective is to determine if there are any moderating effects in the relationship between food insecurity and IPV victimization by demographic, financial, and mental health covariates. A cross-sectional, online survey was administered by the U.S. Army Public Health Center at an Army installation in 2019; 56% of respondents reported that they were married or in a relationship (n = 2,740). The main predictor was the two-item food insecurity screener (Hunger Vital Signs), which measures marginal food insecurity (encompassing marginal, low, and very low food security). The main outcome was IPV victimization as measured by the Hurt, Insult, Threaten, Scream scale. Multiple logistic regression was used to assess the association between marginal food insecurity and IPV victimization, controlling for demographic, financial, and mental health covariates. In a multivariable model, marginally food insecure respondents had 2.05-fold greater adjusted odds of reporting any IPV victimization when compared to highly food secure respondents (95% confidence interval [1.40, 3.00]). The only interaction that was statistically significant was between anxiety and food insecurity on IPV victimization (p = .0034). Interactions by soldier's military rank, birth sex, and race and ethnicity were not statistically significant. IPV has implications for the emotional and physical health of survivors. In addition, service members who are food insecure may experience similar decrements in emotional and physical health due to suboptimal nutrient intake. By addressing both food insecurity and IPV, the military has the potential to increase the overall well-being of its service members and their dependents.

Toward care-full plural agroecologies: Lessons from the U.S. Agroecology Summit 2023

First paragraphs: In May 2023, approximately 100 people gathered in Kansas City, Missouri, for a national conven­ing on scaling agroecology in what is now known as the United States. The gathering (referred to throughout this special issue as the Agroecology Summit or simply the Summit) was convened by people working at research institutions throughout the U.S. The organizing committee aimed to iden­tify how research can support the growers, organi­zations, and communities enacting agroecology in the U.S. Initially funded by a US$50,000 grant from the U.S. Department of Agriculture (USDA), the committee also hoped to create a “roadmap” for agroecological research in the U.S. While a co-created research agenda for agro­ecology is arguably an important long-term goal, what unfolded at the Summit indicates that pursu­ing this goal was premature—putting the research cart before the agroecology horse, so to speak. Many summit participants from civil society and social movement spaces pushed against the idea of a roadmap. Some pushed against the idea of work­ing collectively on a goal that was not collectively identified or co-designed; others, against the idea of engaging in collective work without first estab­lishing trust, especially where deep reparative work between and among communities and institutions is still needed. Bringing together people who span diverse identities, positionalities, and ways of knowing is both an epistemologically and ethically complex endeavor. Given the diversity of histori­cal, cultural, and practical orientations to agroecol­ogy, it is unsurprising that the Summit revealed tensions. Two editors on this special issue (Roman-Alcalá and Horner) were on the summit organizing committee. Roman-Alcalá and Horner shared that it was not always comfortable for Summit organiz­ers to receive some of the critiques voiced before the summit (as shared by Wills, Tovar-Aguilar, and Naylor in this issue), at the summit, and further articulated in this special issue. However, the necessity of ongoing dialogue—of engaging in gen­erative discussions across points of difference—was and is evident (Roman-Alcalá, 2022). Although the Summit did not ultimately yield a research agenda or roadmap, it was not an unfruitful event. Participants did not coalesce around a singular goal. Instead, they gave voice to the many goals, needs, and visions driving agroecology in the U.S. The commentaries in this special issue highlight some of the research, policy, organizing, and repar­ative priorities that emerged during and after the Summit. . . .

APPLICATION OF CAUSAL FORECASTING METHOD TO FORECAST SHALLOT PRODUCTION IN NORTH SUMATRA PROVINCE

Shallot are one of the superior horticultural commodities that has a great influence on the economic value and daily needs of society. The province of North Sumatra is a strategic region for producing shallot, making the province the eighth largest producer of shallot in Indonesia. The need and consumer demand for shallot along with the increasing population is a problem, as by 2021 the amount of shallot production in the household sector will only be met by 11% in the North Sumatra province. The authors are therefore interested in studying the factors that influence shallot production and predicting the amount of shallot production in the future North Sumatra province. The source of data the research was carried out by the Agricultural Department of the Province of North Sumatra. The study was conducted using Causal Forecasting and ARIMA methods. The causal forecasting method used is the econometric method. The econometric method is a method for analyzing and predicting future conditions by finding and measuring several important independent variables and their influence on the variables. Dependents are observed. The ARIMA method is used to predict exogenous variables from the results of the analysis performed. Based on the analysis, it is obtained that the factors affecting the amount of shallot production are the quantity of productivity and the extent of the onion harvest. The greater the amount of productivity and the size of the harvest, the more shallot production will increase. The result of the production forecast obtained is the lowest amount of shallot production occurred in April 2022 at 5212,763 tons and the highest amount produced on the onion occurs in March 2023 at 6502,112 tonnes and the average monthly amount of production is 5856,886 tons.

The Sustainable Management of Gayo Coffee Cultivation in Rikit Musara Village, Meriah District, Indonesia

Objective: This study aims to investigate how sustainable management of Gayo coffee is managed by farmers in Rikit Musara Village. Method: This study applied a case study design to investigate the management of Gayo coffee cultivation in Rikit Musara Village, Aceh. The research focused on management, challenges faced, and opportunities for improvement. Data was collected by interviewing several informants who directly influenced Gayo coffee cultivation. Documentation on cooperative relations between related institutions is also carried out to see how related parties work together to cultivate Gayo Coffee. Results and Discussion: The management of Gayo coffee cultivation in this village has yet to be effective. Several problems were found in the failure to carry out institutional tasks properly, inadequate farmer resources, inadequate government budget allocations, and misaligned visions between farmers and the Department of Agriculture. Institutions that have been formed in different domains already exist. However, management between parties related to Gayo Coffee cultivation, namely farmer institutions, Gayo Coffee farmers, and DPKBM, must still be well established. Research Implications: There is a need for policy interventions to improve the management of Gayo coffee cultivation. This could include advocating for increased government budget allocations, better coordination between institutions, and the establishment of clearer institutional tasks. Originality/Value: This study contributes to the literature by providing practical recommendations for improving the management of Gayo coffee cultivation in the village. These recommendations can inform policy interventions, capacity-building efforts, and partnership development strategies aimed at enhancing the sustainability of Gayo coffee cultivation in the village and similar contexts.