Relations between the oilseed rape volunteer seedbank, and soil factors, weed functional groups and geographical location in the UK
Marko Debeljak,
Geoff R. Squire,
Damjan Demšar,
Mark W. Young and
Sašo Džeroski
Ecological Modelling, 2008, vol. 212, issue 1, 138-146
Abstract:
Data mining techniques were applied to model the presence and abundance of volunteer oilseed rape (OSR) (Brasica napus L.) in the seedbank at 257 arable fields used for baseline sampling in the UK's Farm Scale Evaluations of genetically modified herbicide tolerant (GMHT) crops. Constructed models were supported by statistical tests. Volunteer OSR was most likely present if a previous OSR crop had been grown in the same field, but it was also present at sites where it had not been grown in the previous 8 years (24% of all fields). In 136 fields where it was found, it showed a slow decline in abundance since the last crop. However, data mining indicated previously unfound correlations between oilseed rape abundance, total seedbank and several other factors, notably percent of nitrogen and percent of carbon in the soil, all of which were smallest in the centre of arable production in southern England and greatest in the surrounding south-west, west and north. In a separate analysis, its abundance was also associated with particular plant life history groups, which include broadleaf weeds such as Capsella and Matricaria species, having a similar phenology to oilseed rape, between rapidly developing annuals and the biennials and perennials. The findings are a reference point in the evolution of oilseed rape as a weed and potential GM impurity. Data mining approaches provide models that may be used to assess the status of volunteer OSR in other countries or at a later time in the UK.
Keywords: Oilseed rape (Brasica napus); Volunteer weed; Soil seedbank; Plant functional groups; Data mining; Farm scale evaluations of GMHT crops (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380007005145
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:212:y:2008:i:1:p:138-146
DOI: 10.1016/j.ecolmodel.2007.10.019
Access Statistics for this article
Ecological Modelling is currently edited by Brian D. Fath
More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().