Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.
 

The Applied Use of Technology in Phenotyping Apple (Malus × domestica Borkh.) Fruit and Trees

Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

The Applied Use of Technology in Phenotyping Apple (Malus × domestica Borkh.) Fruit and Trees

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

Other identifiers

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.