Estimation of Pyrethrum Flower Number Using Digital Imagery Public Deposited

http://ir.library.oregonstate.edu/concern/articles/hh63sx60k

To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by the American Society for Horticultural Science and can be found at:  http://horttech.ashspublications.org/

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • Flower number is the primary determinant of yield in pyrethrum (Tanacetum cineariifolium). Traditional estimates of flower numbers use physical harvesting of flowers, which is time consuming, destructive, and complicated. The precision of flower number estimates may be highly influenced by spatial heterogeneity of plant density and vigor. Here, we examined the potential for digital image analysis to enable rapid, nondestructive assessment of flower number. This technique involved removal of pixels with color profiles not typical of the disc florets of pyrethrum. Particle counting was then performed using defined size and shape parameters to estimate flower numbers. Estimates of flower number based on image analyses were correlated with physical harvests of flowers, with estimates representing about an average of 32% of total flower numbers present within a sampling unit. This relationship was consistent across all observed flower densities. Covariate analysis indicated that occurrences of crop lodging and over mature flower canopies had significant, detrimental effects on system predictions. Pyrethrum flowers were spatially aggregated within fields with the degree of aggregation greatest at the lowest flower densities. Based on modeled flower distributions, eight quadrats (0.49-m² sampling unit) were sufficient to achieve a cv of 0.1 in a 600-m² plot area in all but the lowest flower densities. The utility of this approach for biomass assessment in pyrethrum and other Compositae is discussed.
Resource Type
Date Available
Date Issued
Citation
  • Scott, J. B., Gent, D. H., Hay, F. S., & Pethybridge, S. J. (2015). Estimation of pyrethrum flower number using digital imagery. HortTechnology, 25(5), 617-624.
Series
Keyword
Rights Statement
Funding Statement (additional comments about funding)
Publisher
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Submitted by Patricia Black (patricia.black@oregonstate.edu) on 2016-05-26T13:55:14Z No. of bitstreams: 1 ScottEstimationofPyrethrumFlower .pdf: 786392 bytes, checksum: c12bf216c4e18a3a7e462abfbcdf3162 (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2016-05-26T13:55:37Z (GMT) No. of bitstreams: 1 ScottEstimationofPyrethrumFlower .pdf: 786392 bytes, checksum: c12bf216c4e18a3a7e462abfbcdf3162 (MD5)
  • description.provenance : Made available in DSpace on 2016-05-26T13:55:37Z (GMT). No. of bitstreams: 1 ScottEstimationofPyrethrumFlower .pdf: 786392 bytes, checksum: c12bf216c4e18a3a7e462abfbcdf3162 (MD5) Previous issue date: 2015-10

Relationships

In Administrative Set:
Last modified: 07/26/2017

Downloadable Content

Download PDF
Citations:

EndNote | Zotero | Mendeley

Items