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Showing 1 to 12 of 12 for “"Canonical Discriminant Analysis"”.

  1. A Genomic Assessment of Vicia Villosa Roth: Evaluation by Flow Cytometry, Canonical Discriminant Analysis, and Replicated cDNA Microarray Analysis

    … to fit two statistical models with a mixed model analysis of variance using Proc Mixed in SAS. Ninety-seven of the 142 gene sequences (68%) were differentially expressed in at least one of the target comparisons. Eighty-three of the sequences (58%) were differentially expressed in hairy vetch. …

    uiuc Repository record for A Genomic Assessment of Vicia Villosa Roth: Evaluation by Flow Cytometry, Canonical Discriminant Analysis, and Replicated cDNA Microarray Analysis (opens in a new tab)

  2. Canada Thistle Management Systems for Sustainable and Organic Farms

    … for cover cropping and biofuel applications. Canonical variates in Canonical Discriminant Analysis (CDA) indicated that the traits of unmowed tiller number, regrowth tiller number, and regrowth biomass were the most significant in discriminating between accessions. The accessions clustered …

    uiuc Repository record for Canada Thistle Management Systems for Sustainable and Organic Farms (opens in a new tab)

  3. Electronic Nose Evaluation of Grape Maturity

    … glycosides. Results were compared, using discriminant and canonical discriminant analysis, with analysis of headspace volatiles via the hand-held electronic nose. The electronic nose was able to determine the difference between the sample groups. Field measurements demonstrated the …

    vt Repository record for Electronic Nose Evaluation of Grape Maturity (opens in a new tab)

  4. Soil quality in long-term corn and soybean rotations

    … were conducted, including stepwise selection and canonical discriminant analysis (CDA). These approaches helped to clearly separate and identify locations, reflecting the different soil types and environments at each site. Crop rotations had little to no discernible effect on any of the soil …

    uiuc Repository record for Soil quality in long-term corn and soybean rotations (opens in a new tab)

  5. Long-term n fertilization affects soil bacterial communities in agronomic fields

    … Using 16S rRNA gene-based pyrosequencing analysis of the V4 region and DNA extracted from soil in a 33-year-old agricultural field trial, we characterized the structure, composition and nitrogen cycling function of the bacterial communities involved. The downstream bioinformatics …

    uiuc Repository record for Long-term n fertilization affects soil bacterial communities in agronomic fields (opens in a new tab)

  6. Effects of environmental change on species: Marvacrassatella lineage and the Plio-Pleistocene record of sea level change

    … were made on each valve. Principal-components analysis assessed shape variation within the Marvacrassatella lineage. Canonical discriminant analysis on geometric means produced two canonical variables that explain the separation among species. Most changes in shell and muscle shape occurred in …

    vt Repository record for Effects of environmental change on species: Marvacrassatella lineage and the Plio-Pleistocene record of sea level change (opens in a new tab)

  7. Spectral Separability among Six Southern Tree Species

    … differences of resultant data sets. Stepwise discriminant analysis decreased the number of independent variables to those significant for spectral discrimination at -level of 0.0025. Canonical discriminant analysis and a normal discriminant analysis were performed on the data sets to test …

    vt Repository record for Spectral Separability among Six Southern Tree Species (opens in a new tab)

  8. Canonical Variate Analysis and Related Methods with Longitudinal Data

    Canonical variate analysis (CVA) is a widely used method for analyzing group structure in multivariate data. It is mathematically equivalent to a one-way multivariate analysis of variance and often goes by the name of canonical discriminant analysis. Change over time is a central feature of many …

    vt Repository record for Canonical Variate Analysis and Related Methods with Longitudinal Data (opens in a new tab)

  9. Wine Discrimination and Analysis Using Quartz Microbalance Based Electronic Nose Technology

    … consuming and expensive. Therefore a new rapid analysis technique for wine discrimination and analysis is desired. The electronic nose has been suggested as an alternative to current wine discrimination techniques. In this study, a quartz microbalance-based electronic nose system was utilized to …

    vt Repository record for Wine Discrimination and Analysis Using Quartz Microbalance Based Electronic Nose Technology (opens in a new tab)

  10. Non-Destructive Evaluation of Apple Maturity Using an Electronic Nose System

    … used as the three variables for the statistical analysis to identify and categorize the fruits into three maturity categories referred as immature, mature and over mature fruits. Apples were also categorized into three maturity groups based on the emanation levels of the aroma compounds evolved …

    vt Repository record for Non-Destructive Evaluation of Apple Maturity Using an Electronic Nose System (opens in a new tab)

  11. Multispecies toxicity tests using indigenous organisms: predicting the effects of hazardous materials in streams

    … of the effluent. In the fourth chapter canonical discriminant analysis, 2 diversity indices, and 7 community comparison indices were evaluated to determine their utility in quantifying macroinvertebrate response to a complex effluent in laboratory microcosms. A permutation and …

    vt Repository record for Multispecies toxicity tests using indigenous organisms: predicting the effects of hazardous materials in streams (opens in a new tab)

  12. High-throughput phenotyping using aerial images for the prediction of agronomic traits in soybean

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01

    uiuc Repository record for High-throughput phenotyping using aerial images for the prediction of agronomic traits in soybean (opens in a new tab)