Plant Breeding and Genetics Commons^™

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, 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 …

Stephen Baenziger, Unl Agronomy & Horticulture, Breeding New Wheat Varieties, Mark Griep, P. Stephen Baenziger

UNL ORCA Interview Series

Stephen Baenziger awarded the ORCA in 2011. He was born in 1951 in Toronto, Canada. When he was an infant, his family immigrated to the U.S., where he grew up in Des Plaines, Illinois. He earned a bachelor's in biological chemistry magna cum laude from Harvard University in Cambridge, Massachusetts. Next, he earned a master's and doctorate in plant breeding and genetics at Purdue University in West Lafayette, Indiana. Over the next decade, he worked for the USDA at Beltsville Agricultural Research Center in Maryland and then at the Monsanto Corporation in St. Louis, Missouri. In 1986, he joined the …

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 …

Arkansas Soybean Research Studies 2024, Jeremy Ross

Arkansas Agricultural Experiment Station Research Series

The 2024 Arkansas Soybean Research Studies includes research reports on topics pertaining to soybean across several disciplines from breeding to post-harvest processing. Research reports contained in this publication may represent preliminary or only data from a single year or limited results; therefore, these results should not be used as a basis for long-term recommendations. Several research reports in this publication will appear in other University of Arkansas Division of Agriculture’s Arkansas Agricultural Experiment Station publications. This duplication is the result of the overlap in research coverage between disciplines and our effort to inform Arkansas soybean producers of the research being …

Discovering The Genetics Underlying Speciation Traits In Heuchera (Coral Bells), Tajinder Singh

Honors Theses

Hybridization is a key evolutionary mechanism for generating biological diversity, ultimately shaping diversification and adaptation of plant lineages in natural and agroecosystems.  Our understanding of the frequency, distribution, and significance of hybridization is rapidly increasing, but the external driving forces that dictate why certain species hybridize, and others do not remain obscure. The physical traits that shape gene flow and trait sharing among species are likely to be among the key factors that directly control hybridization. Gene flow in most plants is mediated by pollinating insects and thus by pollination syndromes, which are suites of floral traits that have evolved …

Arkansas Cotton Variety Tests 2025, F. Bourland, J. Gann, B. Lovelady, B. Guest Jr, J. Mcalee, L. Martin, Z. Treadway, C. Henderson

Arkansas Agricultural Experiment Station Research Series

The primary goal of the Arkansas Cotton Variety Tests is to provide unbiased data regarding the agronomic performance of cotton varieties and advanced breeding lines in the major cotton-growing areas of Arkansas. This information helps seed companies establish marketing strategies and assists producers in choosing varieties to plant. These annual evaluations will then facilitate the inclusion of new, improved genetic material in Arkansas cotton production. Adaptation of varieties is determined by evaluating the lines at five University of Arkansas Division of Agriculture research sites (Manila, Keiser, Judd Hill, Marianna, and Rohwer). The tests at Rohwer were abandoned due to undefined …

Supplemental Bibliographic Details. From 2001 Mars Odyssey To Earth’S Climate Crisis: Integrating Gamma Spectroscopy, Martian Soil Simulants, And Plant Genomes For Agroecology, Anchored In Sri Lanka’S Mars-Context Serpentinites, Suniti Karunatillake, Maheshi Dassanayake, Carlos Gary Bicas

Planetary Science Lab

Bibliographic details follow to supplement hyperlinked citations in the multinational GANGOTRI-supporting project conceived by Karunatillake, Dassanayake, and Gary-Bicas

Pumpkin Variety Demonstration In West Michigan, 2025, Benjamin P. Werling, Justin Adams

Midwest Vegetable Trial Reports

Pumpkin variety demonstrations were conducted in 2025 at the West Central Michigan Research and Extension Center in Hart, MI, to compare yield, size class, and irrigation response among 21 pumpkin varieties representing jack-o’-lantern, large carving, and decorative cultivars. Demonstration plots were established on sandy soil under standard commercial fertility, pest management, and weed control practices. To assess irrigation effects under dry conditions, approximately 60% of each plot received supplemental sprinkler irrigation.

Jack-o’-lantern varieties varied in size distribution, with some producing a mix of 60, 45, and 30–35 count fruit with few larger-sized pumpkins. Others skewed toward larger bin count classes. …

Citrullus Amarus Drought Tolerance: An Above And Below Ground Analysis, Ben A. Hyland

All Theses

Ever rising environmental temperatures threaten global food security by worsening severity and increasing the occurrence of drought. Commercially cultivated watermelon (Citrullus lanatus), have reduced drought tolerance due to a narrow genetic base caused by breeding for desirable traits such as sweetness, size, and flesh/rind color. Comparatively, the crop wild relative desert watermelon variety (Citrullus amarus), while more drought tolerant than their commercially cultivated relatives (C. lanatus), still require large amounts of water to grow and produce reliable fruit yields. Watermelon root morphology plays a key role in their ability to tolerate drought, with more …

Artificial Light At Night Can Worsen Competitive Outcomes Between Native And Invasive Grasses, Shannon M. Murphy, Kylee Grenis, Anna A. Sher

Biological Sciences: Faculty Scholarship

Artificial light at night (ALAN) is an important global disturbance that affects community dynamics, but how it affects species interactions, such as competition, is not well understood and needs investigation. In plant communities, some exotic-invasive plant species seem to be facilitated by ALAN, which may alter competitive outcomes with native plant communities and promote invasion. Despite these intriguing results, whether ALAN affects competitive outcomes between native and invasive species is understudied. Here we tested how ALAN affects competitive outcomes between two native prairie grasses and two grasses that are exotic-invasive in North America. We planted each native species with a …

Agricultural Biotechnology In The Courts: Judicial Opinions And Commentary, Drew L. Kershen

Faculty Articles

Seven jurisdictions from around the world have issued judicial opinions that address fundamental issues about the governance and regulatory systems of agricultural biotechnology. This article summarizes these legal proceedings and describes their impact upon agricultural biotechnology. The article then provides a commentary and critique of the legal proceedings and resulting judicial opinions.

Yield And Pungency Of Eight Onion Varieties And Their Response To Sulfur Fertilizer On Fine-Textured Soil, Charlie Rohwer, Jesen Hosch, Brianna Hayward, Cindy Tong

Midwest Vegetable Trial Reports

Onions are notable for their pungency, caused by sulfur-containing compounds. Fine-textured soils high in organic matter, or soils fertilized with organic amendments, are unlikely to require additional sulfur for maximum onion yield. We were interested in the impacts of additional sulfur (in such a situation, unlikely to be sulfur-limited) on pungency, soluble solids, and yield in eight onion varieties. We carried out a study in 2024 in southern Minnesota, designed as a split-plot (onion variety as the whole-plot) with four replicates. Heavy rainfall caused substantial unmarketability in our trial, with ‘Ringmaster’ suffering the most loss (11% of planted ‘Ringmaster’ were …

Summaries Of Arkansas Cotton Research 2024, Fred M. Bourland

Arkansas Agricultural Experiment Station Research Series

Planted cotton acreage in Arkansas increased in 2024 to 670,000 planted acres, which was 160,000 acres more than in 2023 when Arkansas producers planted approximately 510,000 acres of cotton. A wet spring, and two hurricanes in three weeks in late summer/early fall led to a slight decrease in harvested acres that culminated in a final number of 640,000 (https://www.nass.usda.gov/Quick_Stats/Ag_Overview/stateOverview.php?state=ARKANSAS). Producers harvested 640,00 acres of cotton, which ranked third nationally, behind Texas and Georgia (https://downloads.usda.library.cornell.edu/usda-esmis/files/k3569432s/nk324887m/qn59s0097/cropan25.pdf). The total harvested acreage is the greatest amount since 680,000 acres in 2011. The average cotton yield in Arkansas in 2024 was …

Improved Management Strategies For Botrytis Fruit Rot, Macrophomina Root Rot, And Verticillium Wilt In California Strawberry Production, Joseph A. Ramirez

Master's Theses

Strawberry production in California is limited by plant diseases such as Macrophomina root rot (MRR) caused by Macrophomina phaseolina, Verticillium wilt (VW) caused by Verticillium dahliae, and Botrytis fruit rot (BFR) caused by Botrytis cinerea. Current disease management strategies are compromised due to fumigant regulations or ineffective disease management practices. This thesis investigated methods to potentially improve the management of these three diseases. Two host plant resistance evaluations for MRR and VW were conducted for the 2022-2023 and 2023-2024 growing seasons. Sixty-three strawberry genotypes were screened in both years. All plants were exposed to the pathogen via artificial …

Arkansas Cotton Variety Tests 2024, F. Bourland, J. Gann, B. Lovelady, B. Guest Jr., J. Mcalee, L. Martin, Z. Treadway, C. Henderson

Arkansas Agricultural Experiment Station Research Series

The primary goal of the Arkansas Cotton Variety Tests is to provide unbiased data regarding the agronomic performance of cotton varieties and advanced breeding lines in the major cotton-growing areas of Arkansas. This information helps seed companies establish marketing strategies and assists producers in choosing varieties to plant. These annual evaluations will then facilitate the inclusion of new, improved genetic material in Arkansas cotton production. Adaptation of varieties is determined by evaluating the lines at five University of Arkansas System Division of Agriculture research sites (Manila, Keiser, Judd Hill, Marianna, and Rohwer). The 2024 tests at Keiser were adversely affected …

Arkansas Soybean Performance Tests 2024, J. F. Carlin, R. D. Bond, T. C. Swanson, J. C. Mccoy

Arkansas Agricultural Experiment Station Research Series

Soybean variety and strain performance tests are conducted each year in Arkansas by the University of Arkansas System Division of Agriculture’s Arkansas Crop Variety Improvement Program. The tests provide information to companies developing varieties and/ or marketing seed within the state and aid the Arkansas Cooperative Extension Service in formulating variety recommendations for soybean producers.

Arkansas Soybean Research Studies 2023, Jeremy Ross

Arkansas Agricultural Experiment Station Research Series

The 2023 Arkansas Soybean Research Studies includes research reports on topics pertaining to soybean across several disciplines from breeding to post-harvest processing. Research reports contained in this publication may represent preliminary or only data from a single year or limited results; therefore, these results should not be used as a basis for long-term recommendations.

Several research reports in this publication will appear in other University of Arkansas System Division of Agriculture’s Arkansas Agricultural Experiment Station publications. This duplication is the result of the overlap in research coverage between disciplines and our effort to inform Arkansas soybean producers of the research …

Identification Of A Stable Qtl For Juice Color In A Vitis Interspecific Hybrid ‘Chambourcin’- Based Population, Qiuni Yang

Graduate Theses/Dissertations

Berry juice color is one of the key factors influencing grape and wine quality, consumer preference, and marketability. While most previous studies on berry color have focused on the skin, research on juice color remains limited. This study investigated the genetic basis of berry juice color in a hybrid population derived from the Vitis interspecific hybrid ‘Chambourcin’ and V. vinifera ‘Cabernet Sauvignon’. A new nine-category visual scoring system was developed to assess juice color based on OIV 225. To achieve comprehensive precision and quantitative analysis, CIELAB parameters (L*, a*, b*), Hue, and Chroma were extracted from image-based measurements. Using berries …

2025 Standard-Sized Seedless Watermelon Cultivar Evaluation In Indiana, Wenjing Guan, Dennis Nowaskie, Cesar Escalante

Midwest Vegetable Trial Reports

Indiana ranked fifth in watermelon production in the United States. In 2024, Indiana growers planted approximately 8,100 acres of watermelons. Watermelon cultivar evaluation trials have been conducted annually at the Southwest Purdue Agricultural Center (SWPAC) in Vincennes, IN, for over 30 years. In 2025, 25 standard-sized seedless watermelons were evaluated, and yield and fruit quality parameters were assessed.

Morphological And Physiological Changes Of Katuray (Sesbania Grandiflora) During Seed Maturation [Research Note], Alangelico San Pascual, Lucille Elna De Guzman, Maurice Gravidez, Elijah Estante

The Philippine Agricultural Scientist

Katuray (Sesbania grandiflora), whose flowers are consumed as steamed vegetables, is an important green manure crop in the Philippines. Understanding different processes leading to seed maturity can aid in determining S. grandiflora’s seed quality, preventing premature harvesting for seed increase, ensuring efficient propagation and production of seedlings, and breeding new varieties of this crop. Multiple flowers were tagged, and three to five pods were collected five days after anthesis (DAA) and at a five-day interval thereafter until 100% germination was achieved. Seed size, moisture content (MC), dry weight, germination percentage, and embryo development were observed and recorded. Seed length was …

Comparison Of Statistical And Machine Learning Genomic Prediction Methods In Plant Breeding: Case Studies In Maize And Soybean, Igor Kuivjogi Fernandes

Graduate Theses and Dissertations

Plant breeding is essential to increase genetic gain and food production worldwide. This study was conducted to evaluate new ways to use machine learning (ML) to tackle plant breeding challenges, where two ideas were tested — the first chapter focuses on how to combine genetic and environmental data using ML to improve the prediction of maize grain yield in multi-environment trials, while the second chapter centers on how to couple feature selection of molecular markers with ML to enhance prediction of yield in soybean, and, in both cases, ML approaches were compared to well-established statistical methods greatly adopted by the …

Effects Of Soil Type, Irrigation Method, And Biomass Application On Grain Yield And Its Determinants In Irrigated Lowland Rice Of Agusan [Research Note], Jehru C. Magahud

The Philippine Agricultural Scientist

Information about the influence of soil type, irrigation method, and biomass use on rice productivity in Agusan is insufficient, despite their importance in developing or improving irrigated lowland rice production. Hence, this study determined the influence of these factors on grain yield and yield-contributing crop traits. It also explained grain yield based on yield determinants and recommended water management for improving grain yield. The greenhouse experiment was laid out in a three-factor randomized complete block design with 10 replications. The treatments were [a] Butuan sandy loam soil (SLS) and Butuan loam soil (LS); [b] continuously flooded (CF) and controlled irrigation …

Are You Planting Resistant Weeds With Your Crop Seed?, Department Of Primary Industries And Regional Development, Western Australia

Grains and other field crops factsheets

Key messages

• West Australian (WA) grain growers have significant weed seed contamination in their crop seed.

• WA growers are sowing herbicide resistant weed seed into their cropping paddocks.

• Crop hygiene (harvest, seeding, transporting) is important to minimise spread of weeds.

Harvest is well underway throughout the WA grainbelt, and growers will be harvesting grain and collecting seed for next year’s crop.

However, this crop seed can be contaminated with weed seeds and, if seed cleaning operations are only partially effective, this weed seed may be sown into paddocks with crop seed in the following season.

Enhancing Crop Resilience: Physiological And Omics Approaches For Drought And Heat Stress Tolerance In Soybean And Peanut, Jyoti Prasad Kakati

All Dissertations

Soybean and peanut are two major crops globally grown for oil and protein. Climate change-associated factors like drought and increased temperature (heat stress) challenge the global production of soybeans and peanuts. Though the United States is the second-largest producer of soybean and the fourth-largest producer of peanuts, it still faces production constraints associated with drought and heat stresses. In the present study, we have examined the responses of soybean and peanut plants to drought and heat stresses during germination and reproductive phases. We conducted field and controlled environmental studies to elucidate the impact of drought stress on germination and seedling …

Summaries Of Arkansas Cotton Research 2023, Fred Bourland

Arkansas Agricultural Experiment Station Research Series

With current production costs and cotton prices, either record or near-record yields are needed for profitable cotton production in Arkansas. As usual, price volatility in 2023 added another level of difficulty in the quest for being profitable. Cotton futures traded between 80 and 90 cents per pound in 2023, with brief times below 80 cents and above 90 cents. In April, cotton futures dropped below 80 cents per pound, the lowest level in almost four months. This was due to an increase in certificated stocks, declining demand, and a growing world carryover. The average cotton price received by U.S. growers …

Assessment Of The Genotoxic Effect Of Pesticide (Profenophos And Cypermethrin) On Allium Cepa L. Through Comet Assay, Ali Hasnian, Muhammad Rizwan, Hamed Dadkhah-Aghdash ., Zahid Mehmood, Ayesha Iqbal, Zarbab Zulfiqar, Bin Yameen, Hafiz Naveed Anjum, Sohaib Muhammad, Muhammad Luqman, Andleeb Anwar Sardar, Muhammad Umer Farooq

Journal of Bioresource Management

Pesticides are specially designed to control pests and help in increasing the yield of crops. This study aims to investigate the genotoxic effect of the major ingredients of commonly used pesticides (Profenophos and Cypermethrin) on Allium cepa L. in different regions of the province of Punjab, Pakistan. Profenophos and Cypermethrin pesticides are extensively used by local farmers. Six different dilutions of Profenophos and Cypermethrin pesticide ranging from, 0.5 ml/L, 1 ml/L, 1.5 ml/L, 2 ml/L, 2.5 ml/L and 3.0 ml/L were applied initially on seeds germination. Seeds grown in a 3.0 ml/L concentration showed a lower radical length percentage as …

Arkansas Cotton Variety Tests 2023, F. Bourland, J. Gann, B. Milano, B. Guest, L. Martin, J. Mcalee

Arkansas Agricultural Experiment Station Research Series

The primary goal of the Arkansas Cotton Variety Tests is to provide unbiased data regarding the agronomic performance of cotton varieties and advanced breeding lines in the major cotton-growing areas of Arkansas. This information helps seed companies establish marketing strategies and assists producers in choosing varieties to plant. These annual evaluations will then facilitate the inclusion of new, improved genetic material in Arkansas cotton production. Adaptation of varieties is determined by evaluating the lines at five University of Arkansas System Division of Agriculture research sites (Manila, Keiser, Judd Hill, Marianna, and Rohwer). The 2023 tests at Keiser were adversely affected …

Cold Hardiness In Vitis Interspecific Hybrid 'Chambourcin'-Based Population, Tabinda Shahid

Graduate Theses/Dissertations

The susceptibility of grapevines to low-temperature injury presents a significant challenge, particularly in the United States. Traditional European grape cultivar, Vitis vinifera ‘Cabernet sauvignon’, faces bud damage at temperatures below freezing. On the other hand, Vitis interspecific hybrid ‘Chambourcin’, exhibits greater tolerance to sub-zero temperatures. The objective of this research was to conduct Differential Thermal Analysis (DTA) on 273 F₁ hybrid genotypes generated from a cross of ‘Chambourcin’ × ‘Cabernet Sauvignon’ to quantify bud cold hardiness by identifying the freezing exothermic reactions. Low temperature exotherm (LTE) profiles, over two dormant seasons (December to February 2022-2024), revealed 15 interspecific hybrid …

Natural And Artificial Selection Of Multiple Alleles Revealed Through Genomic Analyses, Jana Biová, Ivana Kaňovská, Yen On Chan, Manish Sridhar Immadi, Trupti Joshi, Kristin Bilyeu, Mária Škrabišová

Biomedical Sciences

Genome-to-phenome research in agriculture aims to improve crops through in silico predictions. Genome-wide association study (GWAS) is potent in identifying genomic loci that underlie important traits. As a statistical method, increasing the sample quantity, data quality, or diversity of the GWAS dataset positively impacts GWAS power. For more precise breeding, concrete candidate genes with exact functional variants must be discovered. Many post-GWAS methods have been developed to narrow down the associated genomic regions and, ideally, to predict candidate genes and causative mutations (CMs). Historical natural selection and breeding-related artificial selection both act to change the frequencies of different alleles of …