Towards Improved Stress Resilience, Optimal Growth And Enhanced Biosafety In Transgenic Plants,
2026
Clemson University
Towards Improved Stress Resilience, Optimal Growth And Enhanced Biosafety In Transgenic Plants, Xiaotong Chen
All Dissertations
This dissertation investigates biotechnology strategies to improve plant stress resilience, growth, and biosafety in transgenic perennial grasses using creeping bentgrass as a model system. Functional analyses of non-coding RNAs such as miR164 and miR169 showed that regulatory non-coding RNAs influence plant architecture and abiotic stress responses through broad developmental and transcriptional networks, supporting them as valuable engineering targets for complex trait improvement. The dissertation also developed a dual recombinase platform for transgene containment and removal, linking trait engineering with biosafety control. Additionally, the recombinases themselves were examined for their potential impact on heterologous host and were found to reshape plant …
Summaries Of Arkansas Cotton Research 2025,
2026
University of Arkansas, Fayetteville
Summaries Of Arkansas Cotton Research 2025, Fred M. Bourland
Arkansas Agricultural Experiment Station Research Series
Planted cotton acreage in Arkansas decreased in 2025 to 520,000 acres compared to 650,000 planted acres in 2024. Arkansas producers harvested 515,000 acres, which was a decrease of 125,000 acres from the 640,000 acres harvested in 2024 (https://www.nass.usda.gov/Quick_Stats/Ag_Overview/stateOverview.php?state=Arkansas&year=2025). The 515,000 harvested acres ranked Arkansas third nationally, trailing only Texas and Georgia in harvested acres (https://esmis.nal.usda.gov/sites/default/release-files/795725/cropan26.pdf). The average cotton yield, as reported by the USDA, was 1,239 lb lint/ac, which ranked fourth nationally, behind California, Louisiana, and Arizona. Arkansas farmers produced an estimated 1.329 million bales, which is a decrease from 1.788 million bales produced in 2024. This production still ranks …
2025 Soybean Invertebrate Losses In The United States,
2026
Mississippi State University
2025 Soybean Invertebrate Losses In The United States, Fred R. Musser, Sebe A. Brown, Tim Bryant, Whitney D. Crow, Jeffrey A. Davis, Christina Difonzo, Ashleigh M. Faris, Chase Floyd, Scott H. Graham, Jeremy K. Greene, Kelly A. Hamby, David Kerns, Janet Knodel, David Owens, Dominic D. Reisig, Phillip M. Roberts, Nicholas J. Seiter, Adam J. Sisson, Benjamin C. Thrash, Kelley J. Tilmon, Adam J. Varenhorst
Midsouth Entomologist
Estimated management costs and losses due to insects and other invertebrates in soybeans during the 2025 growing season were collected and compiled from 20 states to provide a record of insect pressure and management practices for the year. These annual estimates provide a historical record of pest pressure and insect management and have been compiled in some states since 2004. Participating states accounted for 68% of soybean acreage in the United States, with near 100% participation in the southern states. As has been true in previous years, the stink bug complex was the costliest insect pest in soybean followed by …
From Insight To Impact: Segmenting Consumers By Their Regenerative Agriculture Priorities,
2026
Purdue University
From Insight To Impact: Segmenting Consumers By Their Regenerative Agriculture Priorities, Lourival Carmo Monaco Neto, Gustavo Stevanin De Souza, Owen Jerome Zakrzewski, Allan Wayne Gray
Department of Agricultural Economics Faculty Publications
Regenerative agriculture is gaining traction in agrifood value chains, yet its definitional ambiguity and the heterogeneity of consumer priorities create strategic challenges for commercialization. Firms commonly assume a homogeneous ‘sustainable consumer’ motivated by environmental outcomes, but research on consumer food values suggests that economic attributes often outweigh environmental concerns when trade-offs are required. This study segments U.S. consumers based on how they prioritize seven core attributes of regenerative agriculture: soil health, biodiversity, greenhouse gas emissions, water use, food prices, crop yield, and farmer profitability. Using forced-ranking data from 1231 nationally representative U.S. consumers surveyed in August 2024, we apply a …
Food Systems Transformation Would Reshape Global Agriculture,
2026
Cornell University
Food Systems Transformation Would Reshape Global Agriculture, Matthew Gibson, Marina Sundiang, Daniel Mason-D’Croz, Thais Diniz Oliveira, Felicitas Beier, Lauren Benavidez-Brouk, Astrid Bos, Maksym Chepeliev, Jonathan Doelman, Shahnila Dunston, Shinichiro Fujimori, Tomoko Hasegawa, Petr Havlik, Jordan Hristov, Jonas Jägermeyr, Marta Kozicka, Marijke Kuiper, Page Kyle, Thijs De Lange, Benjamin Leon Bodirsky, Hermann Lotze-Campen, Hermen Luchtenbelt, David Meng-Chuen Chen, Abhijeet Mishra, Christoph Müller, Gerald Nelson, Amanda Palazzo, Ignacio Perez Dominguez, Alexander Popp, Ronald Sands, Marco Springman, Elke Stehfest, Timothy B. Sulser, Kiyoshi Takahashi, Gianmaria Tassinari, Ferike Thom, Philip Thornton, Kazuaki Tsuchiya, Willem-Jan Van Zeist, Hans Van Meijl, Dominique Van Der Mensbrugghe, Detlef Van Vuuren, Hannah H.E. Van Zanten, Isabelle Weindl, Keith Wiebe, Xin Zhao, Mario Herrero
Department of Agricultural Economics Faculty Publications
Food systems are a major contributor to exceeding planetary boundaries1,2,3 and poor quality diets are a key mortality risk globally4. Projected population and income growth could exacerbate these challenges5. In response, there are calls for transformation towards healthy and sustainable food systems6,7,8. However, the scale and distribution of the impacts of this transformation on agriculture are underexplored. Here we show that, by 2050, the transformation of food systems towards healthy diets (adoption of the EAT–Lancet reference diet), improved productivity and halving of food waste results in a fundamental restructuring of global agriculture, aspects of which break with historical trends. Scenario …
Recent Advances In Sustainable Production Of Enriched Chicken Eggs: A Mini Review,
2026
Department of Poultry Production, Faculty of Agriculture, Alexandria University, Alexandria, Egypt
Recent Advances In Sustainable Production Of Enriched Chicken Eggs: A Mini Review, Karim El-Sabrout, Ayman Abd El-Aziz
Jurnal Ilmu Ternak Universitas Padjadjaran
Enriched or “designer” chicken eggs have emerged as an important category of functional foods aimed at improving human nutrition through dietary manipulation of laying hens. This mini-review summarizes recent advances in egg enrichment strategies, focusing on omega-3 fatty acids, vitamins, minerals, and antioxidant compounds. Omega-3 enrichment remains the most widely adopted approach, achieved through supplementation with flaxseed, fish oil, or microalgae, resulting in significant increases in eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in egg yolk. Multi-nutrient enrichment, including selenium, vitamin E, and carotenoids, has also gained attention due to its potential in enhancing antioxidant capacity and health of hens …
Effect Of Dietary Onion Peel Powder (Allium Cepa L.) As A Feed Additive On Production Performance In Broiler,
2026
Faculty of Animal Science, Universitas Brawijaya, Malang 65145, Indonesia
Effect Of Dietary Onion Peel Powder (Allium Cepa L.) As A Feed Additive On Production Performance In Broiler, Della Ariesba Putri Dulia, Edhy Sudjarwo, Osfar Sjofjan
Jurnal Ilmu Ternak Universitas Padjadjaran
This study aims to evaluate the use of onion peel powder (Allium cepa L) as a feed additive on feed intake, weight gain, Feed Conversion Ratio (FCR), Production Index, and Income Over Feed Cost (IOFC) in broilers. A total of 144 Lohmann strain broiler (unsexed) were treated from 1 to 35 days of age. There were 6 treatments with 4 replicates, consisting of 24 experimental cages, each filled 6 broilers. The experimental design used completely randomized design (CRD). The treatment groups were as follows: basal feed without antibiotics (P0-), basal feed + 0.1% antibiotics (zinc bacitracin) (P0+), basal feed + …
Effect Of Gowok (Syzygium Polycephalum) Fortification On The Physical Properties And Color Of Goat Milk Yogurt,
2026
Faculty of Animal Science, Jenderal Soedirman University, Indonesia
Effect Of Gowok (Syzygium Polycephalum) Fortification On The Physical Properties And Color Of Goat Milk Yogurt, Siti Rahmawati Zulaikhah, Triana Setyawardani, Juni Sumarmono
Jurnal Ilmu Ternak Universitas Padjadjaran
This study aimed to determine the effect of adding parts of gowok fruit (Syzygium polycephalum) on the physical properties of goat’s milk yogurt. A completely randomized design was applied with treatments consisting of fruit parts (rind, flesh of fruit, and whole seedless fruit) and addition levels (1, 2, and 3%) with three replications. Data were analyzed using analysis of variance followed by Duncan’s multiple range test (DMRT). The results showed that gowok addition had a significant effect (P<0.05) on viscosity, syneresis, and color parameters, but no significant effect (P>0.05) on firmness and work of penetration. Yogurt viscosity ranged from 349.33 to 825 mPa·s and decreased with increasing gowok levels, while …
Financial Analysis Tool (Ct-Ft) For Western North Carolina Christmas Tree Growers,
2026
The Westervelt Company
Financial Analysis Tool (Ct-Ft) For Western North Carolina Christmas Tree Growers, Sam Blumenfeld, Solomon Ghezehei, Justin G.A. Whitehill, Elizabeth G. Nichols
Journal of Extension
Western North Carolina is a major national Christmas tree (CT) production region, yet the CT industry faces numerous challenges that threaten its financial sustainability. Little economic research has been done, and limited decision-making tools exist to assist producers, Extension agents, and associated industry stakeholders. We developed an Excel-based financial analysis tool (CT-FT) to assist small and midsize wholesale CT producers in operational planning and financial assessment. The publicly available financial tools will enable CT growers to better understand their finances and operations, interact with financial stakeholders, assess alternative management scenarios, and track yearly costs to improve operational financial sustainability.
Nebraska And The Midwest Agtech Ecosystem: Benchmarking Innovation Investment And Translation Gaps,
2026
University of Nebraska-Lincoln
Nebraska And The Midwest Agtech Ecosystem: Benchmarking Innovation Investment And Translation Gaps, Ankit Chandra, Ishani Lal, Brennan Costello
Department of Agricultural and Biological Systems Engineering: Presentations and White Papers
Agricultural innovation is central to the sustainable transformation of food systems, yet the capital that finances it is unevenly distributed relative to where food is produced. This paper develops a diagnostic framework for measuring this mismatch and applies it across the U.S. Midwest from 2021 to 2025, with particular emphasis on Nebraska's structural position within this landscape. Drawing on venture capital deal-flow data, 17 stakeholder interviews, and a novel strength-weakness-opportunity-gap (SWOG) ecosystem mapping methodology, we document $736 million in tracked Midwest AgTech funding across eight states (Nebraska, Iowa, Missouri, Illinois, Indiana, Kansas, North Dakota, and South Dakota). We introduce three …
The Gravity Of The Ukraine War: Measuring Conflict Impacts On European Grain Trade,
2026
University of Arkansas-Fayetteville
The Gravity Of The Ukraine War: Measuring Conflict Impacts On European Grain Trade, Stefan Bonchis
Graduate Theses and Dissertations
This thesis investigates the heterogeneous structural disruptions caused by the war in Ukraine on the European Union’s agricultural trade architecture, focusing on three critical commodities: wheat, maize, and sunflower seeds. Employing a structural gravity model framework across all 27 EU Member States, the study evaluates two conflict episodes, the 2014 Crimea annexation and the 2022 full-scale invasion, to identify the net beneficiaries and heavily impacted nations within the EU agricultural trade network. The empirical strategy utilizes a dual-test design to capture the full scope of the disruption. Test A (Ukraine towards the EU trade) reveals a distinct geographic logic in …
The Unexpected Role Of Conditionality In Shaping Relational Values: Insights From An Incentive-Based Conservation Program In Bolivia,
2026
University of Nebraska-Lincoln
The Unexpected Role Of Conditionality In Shaping Relational Values: Insights From An Incentive-Based Conservation Program In Bolivia, Brooke Mcwherter, Will Munger, Zhao Ma, Claudia Radel, Laura Zanotti, Jonathan Bauchet, Ricardo Godoy
Department of Agricultural Economics Faculty Publications
As global change accelerates, Payments for Ecosystem Services (PES) programs have become increasingly important tools for addressing the interconnected challenges of land degradation, biodiversity loss, water scarcity, and climate change. PES programs provide incentives to individuals or communities, conditional on people adopting sustainable natural resource management practices to support or increase ecosystem service provisioning. Although conditionality is considered a “PES-defining feature,” little is known about how conditionality is perceived by community members and how such perceptions influence their participation in and experience with PES programs. To address this gap, we conducted an extensive qualitative study of Watershared, an incentive-based conservation …
The Role Of Speculators In The Agricultural Futures Market And Their Impact On Prices,
2026
University of Arkansas-Fayetteville
The Role Of Speculators In The Agricultural Futures Market And Their Impact On Prices, Clement Asamoah
Graduate Theses and Dissertations
The study evaluates the impact of speculative activity on agricultural commodity returns, specifically in the corn, soybeans, rice, and oats markets. The study also analyzed the influence commodity returns have on speculative positions. Weekly data from the Commodity Futures Trading Commission were used as a proxy for speculative activity, and futures data were also retrieved from Barchart. Vector Autoregressive models and the Granger Causality tests were estimated to identify the relationships between returns and speculation. The paper found that speculative positions do not Granger-cause returns over the course of a week except for rice Tuesday results, which recorded a statistically …
City Farm Slo: A Case Study Of Nonprofit Regenerative Agriculture,
2026
California Polytechnic State University, San Luis Obispo
City Farm Slo: A Case Study Of Nonprofit Regenerative Agriculture, Carver Tunnell
Master's Theses
The focus of this thesis is to create a case study on City Farm SLO, a nonprofit based in San Luis Obispo, California, that has engaged in education and regenerative agriculture on City owned land since 2013. This case study is intended for use in undergraduate agribusiness and natural resource management courses, to encourage thoughtful discussion surrounding nonprofit and regenerative agricultural systems. The case presents the nonprofit at a time of relative success, having recently secured a lease renewal, extending stewardship 40 years into the future. However, the reliance on grants and donations threatens the security of the operation going …
Can Generative Ai Make Farming Decisions? Current Status And Future Pathways: A Case Study In Row Crop Production With Chatgpt,
2026
University of Nebraska-Lincoln
Can Generative Ai Make Farming Decisions? Current Status And Future Pathways: A Case Study In Row Crop Production With Chatgpt, Nipuna Chamara, Yufeng Ge, Joe Luck, Yu Pan, Saleh Taghvaeian, Cory Walters, Christopher Proctor, Daran Rudnick, Daren Redfearn
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The agricultural decision-making process is experience-based, knowledge-dependent, time-sensitive, complex, and driven by historical data. Planting, fertilization, irrigation, and chemigation are key categories in farm decision-making, and currently there is no one-shot decision-support tool that covers all these activities. Generative Artificial Intelligence (AI) models are more advanced than traditional machine learning and deep learning models. These models have been trained on vast amounts of data from the internet, allowing them to accept unstructured data in various forms and generate human-like text, solutions to problems, and scenario predictions. Given this capability, we became interested in exploring the potential of generative AI in …
Long Panel Studies Of Small-Scale Rural Societies In The Global South: What Is Their Value, Why Are They Rare, And Suggestions To Make Them Happen,
2026
Purdue University
Long Panel Studies Of Small-Scale Rural Societies In The Global South: What Is Their Value, Why Are They Rare, And Suggestions To Make Them Happen, Jonathan Bauchet, Ricardo Godoy, William R. Leonard, Victoria Reyes-Garcia, Asher Y. Rosinger, Susan Tanner, Eduardo A. Undurraga
Department of Agricultural Economics Faculty Publications
Many topics in the behavioral sciences and epidemiology require researchers to directly observe entities (e.g., individuals, households) over a long time to identify lasting effects. Long-term panel data collection is more common in high-income countries than in small-scale rural societies (SSRS) of low-income countries. SSRS are mobile, nature-dependent, linguistic minorities, and highly autarkic. Analyzing such data using a life-course perspective can help uncover patterns that align or upend what we know from high-income countries. This study a) reviews long (>∼10 year) panels in SSRS (n = 9), b) extends the analysis to cover somewhat comparable societies of smallholders (n …
Capturing System Complexity In Maritime Decarbonization: A Multilayer Modeling Perspective,
2026
Purdue University
Capturing System Complexity In Maritime Decarbonization: A Multilayer Modeling Perspective, Maksym Chepeliev, Rene Banares-Alcantara, Lorenza Campagnolo, Ronald Apriliyanto Halim, Jim Hall, Gianandrea Mannarini, Hesam Naghash, Carlo Palazzi, Ramiro Parrado, Paola Rocchi, Alessandro Taberna, Soheil Shayegh
Department of Agricultural Economics Faculty Publications
No abstract provided.
A Hedonic Analysis Of Farm Tractor Auction Prices,
2026
Kansas State University
A Hedonic Analysis Of Farm Tractor Auction Prices, Madison Pearson, Chad Fiechter, Andy Campbell
Department of Agricultural Economics Faculty Publications
Used farm machinery values play a critical role in farm management and in assessing the financial health of the agricultural sector. However, the heterogeneity of machines, particularly regarding embedded technology and usage, complicates efforts to isolate the factors that influence prices. This study leverages a detailed dataset from Tractor Zoom to estimate the effects of machine characteristics and market conditions on auction prices of used 300 to 450 horsepower tractors. We find a nonlinear relationship between machine usage and price: tractors with fewer than 500 hours of use lose approximately 118𝑝𝑒𝑟𝑎𝑑𝑑𝑖𝑡𝑖𝑜𝑛𝑎𝑙ℎ𝑜𝑢𝑟,𝑤ℎ𝑖𝑙𝑒𝑡𝑟𝑎𝑐𝑡𝑜𝑟𝑠𝑤𝑖𝑡ℎ𝑚𝑜𝑟𝑒𝑡ℎ𝑎𝑛10,000ℎ𝑜𝑢𝑟𝑠𝑠ℎ𝑜𝑤𝑜𝑛𝑙𝑦𝑎𝑤𝑒𝑎𝑘𝑙𝑦𝑠𝑖𝑔𝑛𝑖𝑓𝑖𝑐𝑎𝑛𝑡𝑑𝑒𝑐𝑙𝑖𝑛𝑒𝑜𝑓𝑎𝑏𝑜𝑢𝑡2 per hour. We also document pronounced seasonal patterns, with …
Buying Intention Of True Price Labelled Food Products For Different Motive-Based Consumer Segments,
2026
Wageningen University & Research
Buying Intention Of True Price Labelled Food Products For Different Motive-Based Consumer Segments, Machiel J. Reinders, Houkje Adema, Liam Dwyer, Ellen J. Van Loo
Department of Agricultural Economics Faculty Publications
No abstract provided.
A Doubly Stochastic Model Of Government Interventions To Preserve Ecosystems Services In The Context Of Large-Scale Industrial Agriculture,
2026
Howard University
A Doubly Stochastic Model Of Government Interventions To Preserve Ecosystems Services In The Context Of Large-Scale Industrial Agriculture, Karma Brame, Wendy Calderon, Kaylee Clark, Josh Hiller, Natalia Negrete
Spora: A Journal of Biomathematics
Deforestation, driven by industrial agriculture and cattle farming, has significantly impacted communities and ecosystems across the globe. In this paper, we develop a discrete-time Markov model to evaluate the effectiveness of market-based interventions, such as payments for ecosystem services (PES) and taxes, in addressing forest loss within the context of large-scale agriculture. Specifically, we focus on how commodity price variability influences deforestation decisions. To model these price fluctuations, we represent agricultural prices as geometric Brownian motion (GBM). By linking commodity price dynamics to land use transitions, our model aims to provide insight into how financial mechanisms can slow or stop …
