Agriculture Commons^™

The Market For Local Beef And Local Beef Processing Investment In Arkansas., Rebekah O'Neal

Graduate Theses and Dissertations

The COVID-19 pandemic exposed vulnerabilities in the U.S. food supply chain, particularly in the beef sector, where processing bottlenecks and labor shortages disrupted meat production and the market. In response, several policies were implemented to strengthen food system resilience, and significant funding was allocated to expand independent meat processing capacity nationwide. However, the long-term viability of expanding regional processing capacity remains uncertain, notably in Arkansas, a net exporter of live cattle. This study evaluates whether consumer demand supports the expansion of local beef processing in Arkansas. Using a dichotomous choice survey, we estimate market shares for beef labeled “Arkansas Grown” …

Factors Associated With Farm Service Agency Direct Farm Ownership Loan Delinquency, Mohammad Ismile Hossain

Graduate Theses and Dissertations

This thesis investigates the factors associated with loan defaults in the USDA's Direct Farm Ownership (FO) loan program, emphasizing factors that affect how long it takes to default. This study uses a Cox Proportional Hazards model on a dataset of more than 47,000 loan records originated during 2011-2020 to identify loan characteristics, financial factors, and geographic settings related to the likelihood and timing of delinquency, which is defined as being 90 days past due. Recent research has focused on differences in loan outcomes based on demographics. This study, on the other hand, focuses on loan size, interest rates and terms, …

Economic Contribution Of The Agricultural Sector To The Arkansas Economy In 2023, Frank Seo

AAES Research Reports and Research Bulletins

This report is the eighteenth in a series that examines agriculture’s economic contribution to the Arkansas economy. The total economic contribution of agriculture (direct, indirect, and induced effects) on value added, employment, and labor income was estimated with the Impact Analysis for Planning System (IMPLAN) for the most recent year available, 2023.

Understanding The Dynamics Of Formal Mentoring In Professional Identity Development Of Early Career Extension Professionals: A Phenomenological Approach, Anuradha Choudhary

Department of Agricultural Leadership, Education, and Communication: Dissertations, Theses, and Student Research

Formal mentoring plays a crucial role in shaping the professional identity of early-career extension professionals; however, limited research has explored how these dynamics affect professional identity development within formal mentorship structures. This study uses a transcendental phenomenological approach to understand how mentees and mentors perceive the impact of formal mentoring on professional identity development within the Nebraska Extension system. Using criteria-based random sampling and snowball sampling, the study engaged 10 mentees and 10 mentors, employing semi-structured interviews, focus groups utilizing ripple effect mapping, and document analysis of mentoring agreements, program guidelines, and mentoring checklists. Following Moustakas' (1994) transcendental phenomenology framework, …

Farmers’ Perceptions About Drivers Of Poverty: A Case Study Of Cocoa Farmers In Ghana, Felix Agyei Boamah

Graduate Theses and Dissertations

Cocoa farmers in Ghana face numerous challenges that undermine their incomes and living standards, including high labor costs, fluctuating cocoa prices, high cost and limited access to inputs, lack of credit, illegal mining, weather risks, small farm sizes, outdated farming and drying technologies, and inadequate extension services. These issues reduce productivity, lower incomes, and perpetuate poverty. This study examined farmers’ perceptions about the importance of these challenges and assessed possible differences across regions and farm households’ socioeconomic status. In the summer of 2024, data were collected from 400 cocoa farmers in major cocoa-producing areas of Ghana’s Eastern and Ashanti regions. …

Exploring Transcriptional Stress Responses In Sorghum And Evolutionary Insights Into Yth Domain Proteins Across Plants, Shikha Bharti

Theses and Dissertations

Understanding how plants respond to abiotic stress is crucial for enhancing crop resilience in the face of climate change. This thesis explores plant stress adaptation mechanisms through two interlinked studies that address different aspects of gene regulation. The first study investigates the transcriptional dynamics of Sorghum bicolor under drought and heat stress at 1-hour and 6-hour time points. By employing 3'-end RNA sequencing, this study provides a comprehensive temporal view of gene expression changes, revealing stress-responsive transcription factors, hormone-associated pathways, and chromatin regulators. The comparative analysis highlights both common and distinct molecular responses between drought and heat stress, providing insights …

Commodity Diversification, Technological Innovation, And Market Dynamics: Insights Into Beef Cattle Production And Feeder Cattle Basis In The United States, Nik Berg

All Theses

The beef cattle industry plays an important role in the agricultural economy, contributing to both domestic food supply and global trade. The United States is one of the world's largest producers of beef, with production systems varying widely across regions largely due to differences in available resources and market structures. Market conditions, technological advancements, and policy interventions shape the way producers operate, making research into these factors essential for both industry stakeholders and policymakers.

Producers are continuously adapting to changing economic conditions, environmental challenges, and evolving consumer preferences. By analyzing these factors, researchers can provide insights to support informed decision-making …

Post-Harvest Storage Of Fuzzy Cottonseed: Quality, Airflow Modeling, And Energy Use, Elijah T. Porter

All Theses

Fuzzy cottonseed is a valuable byproduct of the cotton ginning process. When cottonseed exits the cotton gin, it often retains high temperatures and moisture contents. Once in a storage facility, the cottonseed needs to be conditioned for safe storage. The overall objectives of this study were to analyze quality changes in cottonseed according to storage conditions, determine the airflow resistance properties of fuzzy cottonseed, develop a computational fluid dynamics (CFD) model of a representative cottonseed storage facility, and analyze cottonseed aeration fan strategies, runtimes, and costs. Changes in quality dictate the allowable storage time for cottonseed and are impacted by …

Life Cycle Assessment Of The Cultivation Of Lettuce In A Hydroponic System Using The Nutrient Film Technique, Raquel Jordan

All Theses

Hydroponic systems are an emerging method of soilless crop cultivation typically done inside a greenhouse where nutrients are delivered dissolved in water rather than being supplied from the soil. Potential benefits of hydroponic systems include reduced irrigation requirements, higher crop yield per area, and the ability to grow crops year-round in nontraditional areas such as urban settings, cold climates, and sites with contaminated soil. However, hydroponic systems tend to have high energy requirements for lighting and climate control, which can yield significant environmental impacts. To explore the environmental impacts of cultivating lettuce in a nutrient film technique (NFT) hydroponic system, …

An Evaluation Of Key Components Of Natural Resource Camps, Undergraduate Persistence And Success In Natural Resources, Brandy Bishop

Electronic Theses and Dissertations

This study explores the key components that connect natural resource camps, undergraduate persistence, and overall success through gainful employment within the natural resource industry. The aim of this study was to assess early interest and attitudes towards natural resource career pathways and how education interventions shape students’ career outcomes thus leading to overall success. A longitudinal mixed method design was used combining Conservation Careers Camp survey data (n = 39) with institutional records for Forestry majors (n =655) in the Arthur Temple College of Forestry and Agriculture on the Stephen F. Austin State University campus. Quantitative data was analyzed through …

Associations Of Variation In Mtdna With Feed Efficiency In Beef Cattle And The Evaluation Of Transcriptomic Changes In Fetal Kidney Due To Hydrallantois, Lauren Elizabeth Seier

Department of Animal Science: Dissertations, Theses, and Student Research

Project 1 focused on the central role that mitochondria play in ATP production, highlighting that variation within the mtDNA may influence feed efficiency. Variation in the mitochondrial genome was uncovered, and associations with feed efficiency in beef cattle were identified. Growth and feed intake phenotypes, as well as low-pass sequencing, were collected on beef steers across two populations. Protein coding variants were identified and used to classify animals into mitochondrial haplotypes. A linear mixed model was employed, which detected a significant association between mitochondrial haplotype and DMI. A significant haplotype with a variant in Complex I was associated with reduced …

Performance And Feasibility Of Pasture Rangeland And Forage Insurance In The Delta Region, Walker Bradley Davis

Graduate Theses and Dissertations

Despite being available nationwide since 2016, enrollment in Pasture, Rangeland, and Forage (PRF) insurance remains low in many regions of the country. The program's performance also presents regional discrepancies, with loss ratios varying significantly. Studies that have simplified the complexity of interval selection for producers have been shown to positively affect PRF enrollment. Such studies remain limited in several forage-producing areas. This study aims to address the lack of information in Arkansas specifically. Arkansas has among the nation's lowest participation rates and loss ratios. Low loss ratios signal that participants pay more in premiums than received in indemnities and may …

Farming With Data: Tracing Critical Tensions Using Data Science For Food Justice, Marc Sager, Maximilan Sherard, Anthony Petrosino

Publications

In this manuscript, we explore the intersection of artificial intelligence (AI) and equitable learning in higher education, focusing on data science as a subset of AI and social justice as the core theme of equity. Our investigation sheds light on the nuanced tensions inherent in employing data science for social justice. Rooted in situated perspectives of learning and consequential learning, our study employs an instrumental case-study methodology and analysis techniques from interaction and conversation analysis. Collaborating with three undergraduate students and an urban farm, the students used data science practices to highlight inequities surrounding food justice and access to food. …

Multi-Crop Systems And Crop-Switching Strategies To Enhance Water Use Efficiency And Climate Resilience In Arid Agricultural Regions, Shahryar Fazli, Wenzhao Li, Surendra Maharjan, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Agriculture in the Lower Colorado River (LCR) region faces mounting challenges from climate change, arid conditions, and water scarcity. This study evaluates water use efficiency (WUEc) and crop-switching strategies under SSP2-4.5 and SSP5-8.5 scenarios for 2025–2049, 2050–2074, and 2075–2099. Using historical data, climatic drivers such as temperature and precipitation were analyzed for their influence on key crops, including durum wheat, winter wheat, and corn. Results show SSP2-4.5 supports water use reductions up to 16%, stable profits (80–90%), and modest calorie increases (up to 15%), while SSP5-8.5 poses severe challenges, with water use reductions of 2–5%, profits dropping to around 20%, …

Plant Nutrient Interactions In High-Yielding Soybean Environments, Victoria Inklman

Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research

Plant nutrient demands and limitations are usually studied individually by nutrient. Here, we investigated how nitrogen (N) limitation in high-yielding soybean environments affects the uptake, removal, and residual of other plant macro- and micronutrients. The objective of this study was to quantify the uptake, removal, and residual levels of soybean macro- and micronutrients under N-limited conditions and to identify nutrient priorities for high-yielding soybean systems. Aboveground plant samples at physiological maturity were collected in 19 high-yielding soybean fields with N limitation across the state of Nebraska. Reference plots with ample N supply were included within each field to compare macro- …

What’S The Beef With Agriculture? Evaluating The Effectiveness Of An Agricultural Literacy Intervention On Students’ Attitudes And Knowledge Toward Sustainability And Animal Agriculture, Jenny E. Bennett

All Graduate Theses and Dissertations, Fall 2023 to Present

Agricultural literacy is essential for helping individuals understand how food systems impact their daily lives and society. While most research has focused on students’ knowledge, this study addresses the underexplored role of attitudes—critical predictors of behavior—as outcomes of educational interventions. This research analyzed survey data collected before and after an agricultural literacy intervention delivered to high school students in school-based agricultural education (SBAE) programs. The curriculum focused on sustainability in animal agriculture.

Findings from paired samples t-tests showed statistically significant improvements in students' attitudes (from moderately neutral to more positive) and knowledge scores. Further analyses revealed that demographic factors such …

A Simple Guide For Describing Soils, 2nd Edition, Angela Stuart-Street, Nicolyn Short Dr, Paul Galloway, Noel R. Schoknecht

Natural resources published reports

Soils are enormously diverse and can be very confusing to understand and talk about. This simple guide for describing soils helps to identify the most important parts of a soil profile and provide an easy way to understand and explain what you see. It gives you a step-by-step guide of what soil properties to describe and how to describe them, along with the tools to make basic soil classifications. The soil descriptors help you to identify the soil type and aid in assigning a simple and standardised name to the soil. While this guide is designed to link with a …

A Convergent Mixed Methods Study Of The Social Studies Academy In South Carolina Middle Schools, Audie Cherry

All Dissertations

There is a global labor shortage in the agricultural industry and middle school is a critical time to get students serious about career decision making. The Studies of Occupations, Culture, and Innovations toward Agricultural Literacy (SOCIAL) Studies Academy is a high impact professional development program in South Carolina that provides experiences and for middle school social studies teachers (N = 12) to become more suited to teach their standards associated with the agricultural sciences with hopes of encouraging more students to pursue agricultural careers. This study was a mixed-methods convergent parallel design that examined 1) Academy Fellows (n = 4) …

Microbial And Ecophysiological Indices Of Agricultural Soils As Affected By Different Farming Practices In Tropical Monsoon Climate, Gulshan Ara Begum, Sajal Roy, Nasrin Chowdhury

Journal of Environmental Science and Sustainable Development

Organic farming is increasingly promoted as a sustainable alternative to conventional agriculture due to its positive effects on soil microbial dynamics, a critical component of ecosystem functioning. However, empirical comparisons of microbial responses across these systems are scarce. Therefore, we conducted a study to assess the various microbial indices of soils taken from distinct crop fields (e.g., brinjal, chilli, tomato, bean, and fallow lands) managed under both conventional and organic farming techniques. Composite soil samples from surface layer (0–15 cm) were collected in a completely random way from Bandarban upazila of Bangladesh (22°11'24.0"N 92°09'00.0"E, organic fields; 22°10'12.0"N 92°09'36.0"E, conventional fields). …

Potential Impact Of Dotted Paropsine Beetle And Other Leaf Beetles On Eucalyptus In Utah, Marion Murray, Victoria Xiong, Megan Kast

All Current Publications

Dotted paropsine leaf beetle (DPLB) is an invasive eucalyptus pest native to Australia. Its first U.S. detection was in California in 2022. DPLB feeds on several eucalyptus species, with blue gum as its primary host. Feeding damage includes semicircular notches on leaf edges, defoliation of young leaves, and dieback of shoot tips. DPLB poses a threat to eucalyptus plantings across the western U.S. and to cut foliage producers in Utah.

How Beliefs Shape What We Consider When Choosing What To Eat, Christopher Gustafson

Cornhusker Economics

What determines which foods we consider? One factor, certainly, is what we like to eat, and if liking what we eat were the sole relevant outcome of food consumption, there would be little to say about incomplete consideration. However, diet quality has important, well-documented effects on health outcomes (as well as other important considerations, such as differential environmental impact). Close to 75 percent of American adults are overweight or obese, which increases the likelihood that the individual will experience one or more serious non-communicable diseases. A food’s healthiness is an important consideration for many people when making food choices, but, …

Cultivating The Wild: Strategies For Entrepreneurs Navigating Niche And Specialty Food Markets, Trey Malone, Courtney F. Cooper

Agricultural Economics and Agribusiness Faculty Publications and Presentations

Introduction Consumer demand for authenticity and sustainability in food systems is growing, creating both opportunities and challenges for entrepreneurs in niche and specialty markets. While wild-foraged and hunted foods are often perceived as more "natural" and sustainable, attempts to scale these products through farming may compromise their perceived authenticity.Methods To explore these dynamics, we conducted discrete choice experiments with a nationally representative sample of 1,039 U.S. consumers. Participants evaluated their willingness to pay (WTP) for salmon, venison, and morel mushrooms, presented in both wild-foraged/hunted and farm-raised forms.Results Consumers exhibited strong preferences for wild versions of all three products, with average …

Adaptive Crop Switching For Irrigated Agriculture In Response To Climate Change In The Western U.S., Shahryar Fazli, Wenzhao Li, Surendra Maharjan, Rejoice Thomas, Aqil Tariq, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Adaptive irrigation strategies are crucial for balancing water use, economic viability, and food security in the arid Western United States. However, as a key indicator vital in regulating agricultural productivity and crop irrigation, water use efficiency (WUEc) is becoming increasingly complex to estimate due to climate change. This study explores the critical role of key meteorological drivers, such as maximum temperature (tmax) and vapor pressure deficit (vpd), and their impacts on crop-specific WUEc. Future impacts are also assessed through integrating machine learning models with climate projections from the CMIP6 framework under SSP2–4.5 and SSP5–8.5 scenarios to forecast WUEc trends from …

High Spatial Resolution Crop Type And Land Use Land Cover Classification Without Labels: A Framework Using Multi-Temporal Planetscope Images And Variational Bayesian Gaussian Mixture Model, Minh Tri Le

Mathematics, Physics, and Computer Science Faculty Articles and Research

Previous studies often combined high spatial resolution data (e.g., PlanetScope) with wider spectral range data (e.g., Sentinel-2) and relied on supervised classification methods to produce land use and land cover (LULC) maps. This study proposed a new unsupervised framework to generate crop type and LULC maps at high spatial resolution (< 5 m) using available PlanetScope data solely without requiring ground truths. We used PlanetScope surface reflectance images and their derived spectral indices during growing seasons to create multi-temporal input features, which were fed into an unsupervised Variational Bayesian Gaussian Mixture Model (VBGMM). The VBGMM, unlike the traditional unsupervised classification methods, (1) first estimated optimal parameters that are most suitable based on the input features and then (2) assigned pixels to the cluster with maximum posteriori probability of a mixture of several Gaussian distributions. The crop type and LULC maps were then generated by labeling the derived clusters using the best possible assignment method, referring to the existing crop type or LULC products. We evaluated the produced PlanetScope-based crop type and LULC maps using true labels, corresponding reference maps, and other unsupervised classification methods. The results demonstrated the robustness and effectiveness of the proposed framework in mapping crop types and LULC at 3–5 m pixels across various ecosystems, climate zones, and human-managed landscapes. The spatial patterns of PlanetScope-based maps were (1) highly comparable with all the reference datasets at 10–30 m spatial resolution and (2) better than the traditional GMM and K-means clustering methods. The VBGMM produced classification maps with high confidence, yielding class probabilities above 0.9 for over 90 % of all study areas. The area percentage for all crop type and LULC classes agreed well with their reference maps, with R2 of 0.95 and RMSE of 1.04 %. The confusion matrices using true labels indicated that PlanetScope-based maps achieved a higher overall accuracy of 84 % than the supervised referenced maps of 81 %. Besides, the entropy comparison showed that our framework-based maps were better at capturing fine-scale features such as developed areas within cities that commonly mix with open space and vegetation, deforestation and cropland conversion in South America, smallholder croplands in Africa and Asia, and generating homogeneous crop fields in North America. This study further highlighted the potential for future research to implement our proposed framework to generate timely and extensive annotated datasets, which can be used for operationally training machine learning models to map crop types and LULC, track deforestation, detect wildfires, and delineate flooded areas at larger scales using medium/coarse Earth observations.

Cultural Worldview And Rural Consumer Preferences For Genetically Modified Foods, Nathan P. Kemper

Agricultural Economics and Agribusiness Faculty Publications and Presentations

The consumer acceptance of genetically modified (GM) foods varies widely based on personal values and social context. This study investigates how cultural worldviews—measured through the Individualism–Communitarianism and Hierarchical–Egalitarianism dimensions—affect willingness to pay (WTP) for food labeling attributes related to GM content. We surveyed 932 U.S. primary grocery shoppers and conducted a discrete choice experiment (DCE) with poultry product options. Using a Mixed Logit model and supplemental cognitive data from Query Theory, we find that rural individualists are more accepting of GM-labeled products. At the same time, urban communitarians show a stronger preference for non-GM labels. These results offer insight into …

Miniature Carnation Cut Flower Production In Utah, Kellie Webb, Melanie Stock, Benjamin Scow, Cheyenne Reid, Victoria Xiong, Claudia Nischwitz, Nick Volesky

All Current Publications

Carnation is one of the most popular cut flowers worldwide and has been grown for centuries. The delicate, fringed petals of miniature carnation have a spicy, clove-like scent and are often used commercially in potpourri and perfume. Florists value the scent, versatility in both large and small design work, long vase life, and broad range of colors, which include yellow, orange, pink, white, red, and purple. While traditionally grown under cover in regions like Colombia and Ecuador, carnation may be a viable cut flower for U.S. Intermountain West growers, as plants tolerate frost and grow well in both cool and …

Changing Aspen Stand Structure Following Large Carnivore Restoration In Yellowstone, Luke E. Painter, Robert L. Beschta, William J. Ripple

Aspen Bibliography

Restoration of large carnivores in northern Yellowstone National Park in the late 20th century resulted in a sustained reduction of Rocky Mountain elk (Cervus canadensis) and their herbivory, facilitating new growth of quaking aspen (Populus tremuloides) saplings. In 2020–21, we examined 87 randomly selected, previously sampled aspen stands across northern Yellowstone, combining random plots with stand-wide observations. Forty-three percent of stands contained a new cohort of small trees (5–10 cm dbh), the first documented recruitment of overstory aspen trees in northern Yellowstone since the 1940s. Both aspen saplings ( ≥2 m tall) and small trees were …

Cropland Acres Vs Base Acres In Nebraska, Jessica J. Groskopf, Cory Walters

Cornhusker Economics

Discusses cropland acres versus base acres in Nebraska.

Delphinium Cut Flower Production In Utah, Nick Volesky, Melanie Stock

All Current Publications

Delphinium is a perennial crop that produces tall racemes in two flushes per season. Its long stems serve as vertical line elements, adding height and balance to floral arrangements. Popular series are available in striking shades of blue, which are not commonly found among cut flowers, making delphinium an excellent choice for local market production. This fact sheet provides an overview of how to grow, harvest, and store delphinium, including yields for various cultivars. It also covers its common pests and diseases, and reviews its economic value for cut flower producers.

Measuring The Determinants Of Women's Empowerment In Agricultural Index In Bangladesh: Application Of The Structural Equation Modeling Approach, Paresh Kumar Sarma, Mohammad Jahanghir Alam, Ismat Ara Begum, Dilshad Zahan Ethen, Farzana Yeasmin, Lin Crase, Andrew M. Mckenzie

Agricultural Economics and Agribusiness Faculty Publications and Presentations

The study investigates the determinants of women's empowerment utilizing data from the Bangladesh Integrated Household Survey 2018, specifically through the construction of the Women's Empowerment in Agriculture Index. Using structural equation modeling, it assesses how various indicators such as decision-making, freedom of mobility, access to agricultural extension services, group membership, and birth control decisions contribute to women's empowerment outcomes. This index is based on decision-making regarding production, resources, income, leadership, time use, and gender parity sub-index. The study employs structural equation modeling to explore the association among key indicators of women's empowerment, including decision-making, freedom of mobility, access to agricultural …