Theses and Dissertations at Montana State University (MSU)

Permanent URI for this communityhttps://scholarworks.montana.edu/handle/1/732

Browse

Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    Natural variation in camelina nitrogen responses
    (Montana State University - Bozeman, College of Agriculture, 2023) Gautam, Shreya; Chairperson, Graduate Committee: Chengci Chen; Chaofu Lu (co-chair)
    Camelina (Camelina sativa L.Crantz) is an oilseed crop with the potential to be planted for biofuel production. It is crucial to select camelina genotypes with higher nitrogen use efficiency (NUE) so that the superior cultivar has higher crop productivity. To select genotypes of camelina that exhibit higher biomass yield and nitrogen use efficiency, two field experiments were conducted in 2021 and 2022 in Sidney, MT with different nitrogen regimes, low (unfertilized) and high (fertilized). Distinct projects were carried out, one of them emphasizing canopy area and normalized difference vegetation index (NDVI), and the other focusing on biomass yield and NUE. The experiments highlighted the response of camelina to nitrogen application and the variation among genotypes. The study identified canopy image analysis effectively differentiated the canopy size and growth rate of camelina genotypes under two nitrogen regimes, demonstrating the influence of nitrogen on camelina growth. The NDVI measurement proved to be useful in evaluating plant health and greenness, offering a time-saving and efficient approach. Additionally, some of the genotypes were identified that exhibited high canopy area, NDVI, and nitrogen use efficiency in both 2021 and 2022, providing potential for enhancing crop productivity. This study reveals the potential to use canopy area, NDVI for biomass yield and nitrogen use efficiency screening in camelina.
  • Thumbnail Image
    Item
    Analysis of dynamic biological systems imagery
    (Montana State University - Bozeman, College of Letters & Science, 2022) Dudiak, Cameron Drew; Chairperson, Graduate Committee: Scott McCalla
    Biological systems pose considerable challenges when attempting to isolate experimental variables of interest and obtain viable data. Developments in image analysis algorithms and techniques allow for further mathematical interpretation, model integration, and even model optimization ('training'). We formulate two distinct methods for obtaining robust quantitative data from time-series imagery of two biological systems: Paenibacillus dendritiformis bacterial colonies, and human gastric organoids. Boundary parameterizations of P. dendritiformis are extracted from timelapse image sequences displaying colony repulsion, and are subsequently used to 'train' a previously developed nonlocal PDE model through the means of error minimization between observation and simulation. Particle tracking is conducted for small colloidal beads embedded within human gastric organoids, and then used to perform particle tracking analysis. This information is analyzed to quantify the local complex viscoelastic properties of organoids' interior mucosal environment.
  • Thumbnail Image
    Item
    A quantitative description at multiple scales of observation of accumulation and displacement patterns in single and dual-species biofilms
    (Montana State University - Bozeman, College of Engineering, 2007) Klayman, Benjamin Joseph; Chairperson, Graduate Committee: Anne Camper
    This research represents a novel approach for describing biofilm accumulation at multiple scales of observation in both single and dual-species biofilms. Pseudomonas aeruginosa PAO1 and Escherichia coli O157:H7 were grown as single and dual-species biofilms in 1 mm glass capillary flow cells and monitored over time using confocal microscopy. Colonization and biofilm development patterns were associated with the fluid flow regime as evaluated using the finite volume analysis program CFX (ANSYS Europe, Ltd). The shear stress was shown to vary along the surface from a minimum near the edges to a maximum in the center of the flow path. Initial colonization by both species occurred at the outer edges of the flow path (low shear). P. aeruginosa was subsequently observed to migrate perpendicular to the flow direction towards the center of the flow path (high shear), but E. coli was never observed outside of the 200 micron outer edge. E. coli was unable to persist in the flow cell unless P. aeruginosa was present as a colonizing partner. Bio-volumes of each species were calculated using the Metamorph (Molecular Devices) image analysis program and are reported over time.
Copyright (c) 2002-2022, LYRASIS. All rights reserved.