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dc.contributor.authorStorkey, J.
dc.date.accessioned2014-01-08T14:00:38Z
dc.date.available2014-01-08T14:00:38Z
dc.date.issued2004-06
dc.identifier.citationStorkey , J 2004 , ' Modelling seedling growth rates of 18 temperate arable weed species as a function of the environment and plant traits ' , Annals of Botany , vol. 93 , no. 6 , pp. 681-689 . https://doi.org/10.1093/aob/mch095
dc.identifier.issn0305-7364
dc.identifier.otherPURE: 2138157
dc.identifier.otherPURE UUID: 9d3ff494-54c6-4217-9a06-0c2f8f7a354b
dc.identifier.otherWOS: 000221871800006
dc.identifier.otherScopus: 3142773754
dc.identifier.urihttp://hdl.handle.net/2299/12481
dc.description.abstractBackground and Aims: The early growth rate of seedlings in the exponential phase is an important ecophysiological trait in crop/weed competition models based on assessments of relative weed green area. An understanding of the role of various plant traits in determining early growth rate may also be useful for identifying contrasting weed strategies for establishment before canopy closure. Methods: The response of seedling relative growth rate (RGR) to the environment was measured in outdoor sand beds in the autumn and the spring for 18 temperate annual weed species and two crops. Seedling growth was modelled using thermal time and effective day-degrees (combining the effect of temperature and radiation). The contribution of various plant traits in determining variability in RGR was investigated using regression analysis. Key Results: The effective day-degree model was more effective for describing early weed growth than thermal time. Variability in RGR measured in the autumn was largely determined by differences between the species in net assimilation rate (NAR), whereas in the spring leaf area ratio (L4R) played a larger part. There were differences between the broadleaf and grass species in the relative contribution of NAR and LAR to RGR in both seasons. RGR in the spring was negatively correlated with initial seedling size. Conclusions: The parameters derived in this study can be used to calibrate empirical models of crop yield loss based on relative weed green area to different growing seasons and assessment dates. The grass weeds, which tended to have large seeds, had a higher investment in roots in the seedling stage, potentially making them more competitive later in the season when resources become limiting. (C) 2004 Annals of Botany Company.en
dc.format.extent9
dc.language.isoeng
dc.relation.ispartofAnnals of Botany
dc.subjectcompetition models
dc.subjectrelative growth rate
dc.subjectbroadleaf weeds
dc.subjectgrass weeds
dc.subjectRELATIVE LEAF-AREA
dc.subjectNET ASSIMILATION RATE
dc.subjectCHENOPODIUM-ALBUM L
dc.subjectAVENA-FATUA L
dc.subjectINTERSPECIFIC COMPETITION
dc.subjectECOPHYSIOLOGICAL MODEL
dc.subjectSIMULATION-MODEL
dc.subjectWINTER-WHEAT
dc.subjectCROP YIELDS
dc.subjectSUGAR-BEET
dc.titleModelling seedling growth rates of 18 temperate arable weed species as a function of the environment and plant traitsen
dc.contributor.institutionAgriculture, Veterinary and Food Sciences
dc.contributor.institutionGeography, Environment and Agriculture
dc.contributor.institutionCrop Protection and Climate Change
dc.contributor.institutionSchool of Life and Medical Sciences
dc.contributor.institutionHealth & Human Sciences Research Institute
dc.contributor.institutionDepartment of Human and Environmental Sciences
dc.description.statusPeer reviewed
rioxxterms.versionofrecordhttps://doi.org/10.1093/aob/mch095
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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