2023 Research Projects
2023 Research Projects
Home Institution: Augsburg University
Faculty Mentor: Dr. Nic Jelinski
Urban Gardeners are in need of an adequate way to suppress weeds and maintain soil moisture. In particular, Shredded Cardboard Mulch is a good option for those trying to lower time spent weeding and lower their water usage. The Shredded Cardboard Mulch Project is testing the Carbon and Nitrogen cycles within the different Mulch treatments of 3 common species found in Urban Gardens. We are working to identify and quantify the weeds that do grow up through the different mulch treatments through random biomass sampling. This process entails random placement of a 0.25 m^2 quadrat. Finding the stories of these weeds could let us know how, why and what other weeds may be able to break through the different mulch treatments.
Home gardening is a common practice in the Twin Cities Metropolitan Area. Thus far there has been no inquiry on the horticultural crop preferences of homeowners. This research delves into the current abundance, density and species richness of vegetables, fruits, and herbs found at 40 residential properties participating in the Twin Cities Long-Term Ecological Research project. Relationships between horticultural crops and property attributes such as the amount of nearby grocery and restaurant options, estimated property value, household average income, house age, and property size were explored.
Home Institution: Universidad de Puerto Rico en Utuado
Faculty Mentor: Dr. Eric Watkins
Home Institution: Clemson University
Faculty Mentor: Dr. Brandon Miller
Stretchberry (Forestiera pubescens), a deciduous shrub native to the southwestern region of the US, demonstrates ornamental value, cold hardiness in Minnesota, and tolerance of droughts and periodic flooding. We aim to introduce this plant to Minnesota to increase plant biodiversity and landscape resiliency. It could be a candidate if this species tolerates extreme soil moisture conditions. To test F. pubescens capabilities, we evaluated its soil moisture tolerances. The greenhouse experiment of 44 container-grown F. pubescens subjected plants to either complete inundation (flood), drought (5% moisture), extreme drought (undetectable soil moisture), or consistent watering (control). Soil moisture was recorded every other day using an HH2 Moisture Meter. Non-treated controls were watered every other day. Drought and extreme drought treatments were watered when soil moisture by volume reached 5% or was undetectable (0%). Flood-treated plants were inundated up to the surface of the potting substrate. After 14 days, growth was recorded by measuring leaf surface area with a surface area meter, leaf greenness with a SPAD Meter, shoot extension in cm, and leaf osmotic potential with vapor pressure osmometry. Results indicate that F. pubescens preferred the controlled watering but tolerated each soil-moisture treatment suggesting its suitability to grow in water-stressed Minnesota landscapes.
Sensing has played a foundational role in precision agriculture since the field’s founding. Not all devices have the same data quality, though, affecting farmer decision-making. Here, we consider penetrometers, devices for measuring soil compaction. Soil compaction is when soil particles are pressed tightly together due to traffic from animals or machines. It directly affects crop production by hindering water infiltration and root development. This study compares pressure data readings and accuracy between a low-cost penetrometer from AgraTronix and a high-cost penetrometer from the American Corps Engineer Cone Penetrometer. The two penetrometers were tested on two gridded and flagged plots, one tilled and one no-tilled. Google Earth was used to record the coordinates of each. Three compaction readings were taken at each location with each device over two days, resulting in 262 samples. A Student’s t-test was performed to determine if the two penetrometers had significantly different readings. Results will be if there are statistically significant differences in the readings (p0.05). If it is below 0.05, this indicates that the higher-cost penetrometer would be a more efficient investment, and the same results are not achievable with a less expensive option.
Home Institution: Berea College
Faculty Mentor: Dr. Bryan Runck
Home Institution: University of Texas Rio Grande Valley
Faculty Mentor: Dr. Jacob Jungers
Heavy fertilizer usage in the Midwestern United States has led to groundwater contamination through nitrate leaching, which is especially problematic for individuals who source their water from private wells. Consumption of nitrate contaminated water can lead to infant mortality and cancer in adults. The objective of this study is to create a predictive model for soil water nitrate concentrations based on the clay and organic matter content of a given soil. Samples from two research sites in Minnesota will be taken, as well as soil water samples from lysimeters. These soil water samples will be analyzed for their nitrate concentrations. Soil texture is known to influence the percolation rate of water through the soil, which impacts the movement of nitrate in the soil. Organic matter is located at the surface of the soil, while clay content increases with soil depth. Since the lysimeters will only capture water of the first 24 inches of soil, we hypothesize that organic matter will be a better predictor for soil water nitrate concentrations than clay content. The results of this study may help farmers determine if their lands are at risk of nitrate leaching and groundwater contamination based on the composition of their soil.
Due to the specialized nature of the subject, there are currently few agricultural field collection apps available in the iOS Appstore, and those that are available are frequently behind paywalls or other restrictions. This is not ideal as these apps offer several benefits over conventional data collection methods, including lower costs, quick homogenous data collection, and the ability to quickly share and store their own data. Researchers from the university, including professors and graduate students in the department of horticulture, agronomy, and plant genetics, were surveyed to find out which features they would want to see included in an app. In response to their feedback, a free and open-source app was created with an emphasis on their feedback as well as the general need to create a user-friendly app that, allows collaboration and data sharing, and prevents data loss and limits data entry errors, making this a powerful tool for researchers making their research slightly simpler while lowering the cost for their labs.
Home Institution: University of Minnesota
Faculty Mentor: Dr. Thomas Michael
Home Institution: University of Texas Rio Grande Valley
Faculty Mentor: Dr. Laura Shannon
Understanding how plants react to their environments is essential for breeding and conservation strategies in a changing climate. Many crop plants are polyploid, possessing more than two copies of each chromosome, and it has been found that polyploid crops tend to express higher levels of phenotypic plasticity than their diploid relatives. However, no such pattern has been found in natural populations. This project attempts to elucidate the interaction of domestication and ploidy and its effect on the maintenance of phenotypic plasticity. We suggest that plasticity is lost through drift during domestication as breeders act to artificially stabilize the environment. Polyploidy should work to slow the loss of plasticity by genetic buffering. Using a factorial design approach (tetraploid vs diploid, domesticated vs wild), we compare plasticity between two experimentally controlled environments (fertilized vs unfertilized). We measure phenotypes related to fitness and plant vigor. We hypothesize wild diploid and tetraploid populations will show greater plasticity for indirect contributors to fitness (e.g., plant height) while displaying greater homeostasis for direct fitness components (e.g., tuber number). This study will provide a basis for establishing strategies to maintain plasticity during breeding and conservation to create stable populations in the face of climate change.
In recent years, agricultural systems have been encouraged to shift and focus on more sustainable practices. When farmers prepare for a new growing season, soil nutrient content and fertility are crucial for success. Until now, quantitative lab tests have obtained data corresponding to soil nutrient status. The Paper Circular Chromatography (PCC) technique is a qualitative approach that produces distinctive visual characteristics including colors, channels, spikes, and concentric rings which can be correlated to soil porosity, mineral and organic matter content, and microbial enzyme activity. The objective of this is to compare PCC visual features against quantitative tests. Samples from six soil management scenarios were taken and evaluated. All treatments were collected at Big River Farms with the collaboration of the farmers utilizing the following soil building practices, standard practices, resting land under cover crops, in addition to highly trafficked disturbed soils, grassland confers, and hardwood deciduous forests. Additionally, because this is a low-cost approach farmers of all economic standpoints can obtain on-farm timely data to achieve their sustainability goals while they improve their soil health.
Home Institution: California State University, Monterey Bay
Faculty Mentor: Dr. Julie Grossman
Home Institution: Colgate University
Faculty Mentor: Dr. Ya Yang
Medicinal plants play an important role within the Hmong community, particularly for postpartum care. Though some individuals in Hmong communities can identify medicinal herbs and know them by their Hmong names, there is no accessible database of these plants and their uses. The lack of a Latin name and connection to formal scientific literature prohibits hospitals from administering them to patients, which is especially an issue in the Twin Cities, as they are home to the third largest Hmong population in the country. This project aims to identify herbs used in the Hmong postpartum chicken soup diet and review scientific literature about each plant in order to move towards more culturally-relevant medical care in Twin Cities hospitals. In this project, we used DNA barcoding to identify medicinal herbs sourced from Hmong farmers and markets located in the Twin Cities. DNA sequences were amplified, assembled using Geneious, and run through the BLAST database to identify similar sequences. Phylogenetic trees were then constructed from these matches to find the most likely candidate species. Possible species matches were then researched to find existing uses in literature and potential pharmacological properties. Through this process, we identified potential matches for 17 herbs.