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Predicting flowering of 130 plants at 8 locations with temperature and daylength
Author
White, L. M.
Publisher
Society for Range Management
Publication Year
1995-03-01
Body

An improved plant phenological method is needed to accurately predict flowering of a large array of plant species at locations with a wide range of latitude. Degree days or degree days times daylength cannot be used to accurately predict flowering of both early and late flowering species when grown at locations with wide range of latitude. Published flowering dates of 130 plant species from among 8 locations in central North America ranging in latitude from 39 to 50 degrees N and longitude 84 to 108 degrees W were used to develop a degree days times daylength factor to predict flowering dates. Plants flowering in late June flowered at the same time at all 8 locations regardless of latitude. Species flowering earlier than late June flowered earlier at southern locations than those at Treesbank, Manitoba. Species flowering after late June flowered later at southern locations than those at Treesbank. Flowering of 124 species divided among 8 locations was most accurately predicted by the accumulation of degree days (threshold = 2 degrees C) times daylength factor (1/(0.259-0.0140*daylength) from the first of December. This method slightly discounts daylength below 13 hours and greatly increased its weight for every hour over 13 hours. This method predicted flowering dates with a standard deviation of 0.1, 0.5, -1.7, 2.4, -0.1, 6.0, -1.8, and -1.1 days for Swift Current, Saskatchewan; Treesbank, Manitoba; Sidney, Mont.; Fargo, N.D.; Sauk and Dane Co., Wisc.; Wauseon, Ohio; and Manhattan, Kans.; respectively. Degree days or degree days times daylength had a standard deviation of 10 and 18 days in predicting flowering dates at Manhattan, Kans. The Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information. Migrated from OJS platform August 2020

Language
en
Resource Type
Text
Document Type
Journal Issue/Article
Digital Object Identifier (DOI)
10.2307/4002795
Additional Information
White, L. M. (1995). Predicting flowering of 130 plants at 8 locations with temperature and daylength. Journal of Range Management, 48(2), 108-114.
ISSN
0022-409X
OAI Identifier
oai:repository.arizona.edu:10150/644447
Journal Volume
48
Journal Number
2
Journal Pages
108-114
Collection
Rangeland Ecology & Management (REM)
Journal Name
Journal of Range Management
Keywords
latitude
Midwestern United States
Great Plains states of USA
flowering date
heat sums
photoperiod
prediction
ambient temperature
plants
phenology