The Applied Use of Technology in Phenotyping Apple (Malus × domestica Borkh.) Fruit and Trees
2019-07
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
The Applied Use of Technology in Phenotyping Apple (Malus × domestica Borkh.) Fruit and Trees
Authors
Published Date
2019-07
Publisher
Type
Thesis or Dissertation
Abstract
Current phenotyping methods for apple (Malus × domestica Borkh.) fruit and trees are destructive, time and labor intensive and can be subjective. Fruit: A handheld NIR spectrometer was used to collect spectra along with traditional phenotyping of several fruit quality traits. Two trait spectral models (starch pattern index, and soluble solids concentration) had sufficient predictive ability across 15 cultivars. Temperature and outdoor limitations of the spectrometer were minimal compared to the importance of collecting more than a single scan per fruit to control for individual fruit heterogeneity. Trees: A low-cost RGB-D sensor was used to characterize trees of a rootstock experiment. The relationship between image-derived metrics and hand-measured was highest for tree height R2=0.93, and TCA R2=0.71. The predictive ability of cumulative yield by image based-tree volume was lower than by manual-measured tree volume. Tree volume, in general, did not improve upon other mixed models when estimating cumulative yield.
Description
University of Minnesota M.S. thesis. July 2019. Major: Applied Plant Sciences. Advisors: James Luby, Cindy Tong. 1 computer file (PDF); ix, 209 pages.
Related to
Replaces
License
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Suggested citation
Anderson, Joshua. (2019). The Applied Use of Technology in Phenotyping Apple (Malus × domestica Borkh.) Fruit and Trees. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/224496.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.