Towards large-scale prediction of Lolium rigidum emergence. I. Can climate be used to predict dormancy parameters?

Owen, M. J., Michael, P. J., Renton, M., Steadman, K. J. and Powles, S. B. (2011) Towards large-scale prediction of Lolium rigidum emergence. I. Can climate be used to predict dormancy parameters?. Weed Research, 51 2: 123-132. doi:10.1111/j.1365-3180.2010.00832.x

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
WeedRes_part1.pdf WeedRes_part1.pdf application/pdf 469.91KB 4

Author Owen, M. J.
Michael, P. J.
Renton, M.
Steadman, K. J.
Powles, S. B.
Title Towards large-scale prediction of Lolium rigidum emergence. I. Can climate be used to predict dormancy parameters?
Formatted title
Towards large-scale prediction of Lolium rigidum emergence. I. Can climate be used to predict dormancy parameters?
Journal name Weed Research   Check publisher's open access policy
ISSN 0043-1737
1365-3180
Publication date 2011-04
Year available 2010
Sub-type Article (original research)
DOI 10.1111/j.1365-3180.2010.00832.x
Volume 51
Issue 2
Start page 123
End page 132
Total pages 10
Place of publication Oxford, U.K.
Publisher Wiley-Blackwell Publishing
Collection year 2012
Language eng
Formatted abstract
Lolium rigidum (annual or rigid ryegrass) is a widespread annual weed in cropping systems of southern Australia. Seeds exhibit dormancy at dispersal and require a period of dry after-ripening to release dormancy, before germination and emergence can occur. Climate, particularly temperature and rainfall, modulates dormancy level at seed maturity and dormancy release during after-ripening. This study investigated the possibility to predict seed dormancy of L. rigidum over a large scale, based on spatial and climatic factors. Mature seeds were collected from 406 populations across 15 different agronomic zones of the 14 million hectare grain belt of southern Western Australia. For each population, initial dormancy and change in dormancy over a 6-month period were measured. Logistic growth curve models were then fitted for each population, with the resulting equation used to estimate four further parameters describing dormancy status of the population. These parameters were used to determine relationships between location in the grain belt and long-term and current-year temperature and rainfall parameters for each population. Although some trends in seed dormancy patterns were found and distinct spatial clusters were clearly evident, our results indicate that climatic parameters alone are unlikely to be a useful predictor for seed dormancy in L. rigidum on a large scale, such as the Western Australian grain belt.
Keyword Annual ryegrass
Survey
Weed management
Seed dormancy
Germination
Populations
Weather
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article first published online: 5 NOV 2010.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
School of Biological Sciences Publications
School of Pharmacy Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 7 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Mon, 04 Apr 2011, 12:00:38 EST by Charna Kovacevic on behalf of School of Pharmacy