home    about    browse    search    latest    help 
Login | Create Account

Modelling the ability of legumes to suppress weeds

Storkey, Jonathan; Döring, Thomas F.; Baddeley, J. A.; Marshall, Athole; Roderick, S. and Jones, Hannah (2011) Modelling the ability of legumes to suppress weeds. Aspects of Applied Biology , 109, pp. 53-58.

[thumbnail of 2011.Storkey_et_al.AAB.pdf]
Preview
PDF - Published Version - English
283kB


Summary in the original language of the document

The ability of different legume cover crops to suppress annual weeds during the early establishment phase was compared using a simulation model of inter-plant competition and field observations. Height, partitioning parameters, extinction coefficients, crop density and time of emergence were recorded for 11 species sown in monocultures. A naturally occurring population of fat hen (Chenopodium album) was present on the experiment. The competition model was run to compare the expected suppressive ability of the different species on this weed. Samples of C. album were also taken from each plot immediately prior to cutting to provide some empirical observations. Predicted suppressive ability was correlated with seed size and height with large seeded, tall species such as white sweet clover being the most competitive. However, these species may recover poorly from mowing compromising their potential to suppress perennial weeds and a mixture of contrasting species may provide the optimum weed control.


EPrint Type:Journal paper
Keywords:legumes, weeds
Subjects: Crop husbandry > Crop combinations and interactions
Soil
Crop husbandry > Weed management
Research affiliation: UK > Univ. Aberystwyth > Institute for Biological, Environmental and Rural Sciences (IBERS)
UK > Duchy College
UK > Organic Research Centre (ORC)
UK > Rothamsted Research (RES)
UK > Scottish Rural Colleges (SRUC - previously SAC)
UK > Univ. of Reading
ISSN:0265-1491
Deposited By: Döring, Dr Thomas F.
ID Code:19881
Deposited On:16 Jan 2012 09:56
Last Modified:11 Jun 2021 07:57
Document Language:English
Status:Published
Refereed:Not peer-reviewed

Repository Staff Only: item control page

Downloads

Downloads per month over past year

View more statistics