Phenology of sunflower cultivars. III. Models for prediction in field environments

Hammer, G.L., Goyne, P.J. and Woodruff, D.R. (1982) Phenology of sunflower cultivars. III. Models for prediction in field environments. Australian Journal of Agricultural Research, 33 2: 263-274. doi:10.1071/AR9820263

Author Hammer, G.L.
Goyne, P.J.
Woodruff, D.R.
Title Phenology of sunflower cultivars. III. Models for prediction in field environments
Journal name Australian Journal of Agricultural Research   Check publisher's open access policy
ISSN 0004-9409
Publication date 1982
Sub-type Article (original research)
DOI 10.1071/AR9820263
Volume 33
Issue 2
Start page 263
End page 274
Total pages 12
Place of publication Collingwood, VIC, Australia
Publisher C S I R O Publishing
Language eng
Abstract Models of the daily rate of development for the stages emergence to head visible and head visible to first anthesis were formed for two sunflower cultivars (Helianthus annuus cvv. Sunfola 68-2 and Hysun 30). The models relate rate of development to photoperiod, daily mean temperature and relative cultivar sensitivity to photoperiod. They were derived from controlled-environment and field studies reported in the first two papers of this series. The two cultivars were found not to differ in sensitivity to temperature. The base temperature for development was found to decrease as the life cycle progressed. The models were validated on an independent data set and are applicable to the entire Australian continent, with one possible limitation on the temperature range at long photoperiods (14-18 h). The relationship of these models to the cultivar groups defined in the first paper of this series is discussed and a rapid method of determining relative cultivar sensitivity factors for new cultivars is outlined. The application of the models in planning for avoidance of frost by selecting the time of planting and the cultivar to be planted was demonstrated for three major sunflower-growing districts in Queensland. The possible use of these phenology models in conjunction with growth simulation models for studies of crop adaptation is discussed.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Alliance for Agriculture and Food Innovation
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 36 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 32 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Mon, 07 Mar 2011, 15:31:27 EST