D. Chikoye et al., SIMULATION OF COMPETITION FOR PHOTOSYNTHETICALLY ACTIVE RADIATION BETWEEN COMMON RAGWEED (AMBROSIA-ARTEMISIIFOLIA) AND DRY BEAN (PHASEOLUS-VULGARIS), Weed science, 44(3), 1996, pp. 545-554
The influence of weeds on crop yield is not only dependent on weed-rel
ated factors such as density and time of emergence, but also on enviro
nmental and management factors that affect both the weed and crop thro
ugh time. This study was undertaken to develop the first physiological
ly based dry bean model that would account for the influence of weed c
ompetition. The specific objective was to develop a model that would a
ccount for the influence of weed competition on crop yield, and to use
this model to test the hypothesis that crop yield losses resulted fro
m competition for photosynthetically active radiation (PAR). To this e
nd, a model that simulated the growth and development of dry bean was
developed. The model performed daily calculations and simulated the ph
enology, leaf area expansion, dry matter production and distribution,
and grain yield of dry bean based on weather and management informatio
n, but assumed adequate water and nutrients. The model was calibrated
without weed competition at two locations and yr, and for these situat
ions, adequately described the growth and development of the crop. Sim
ulations were then run for five common ragweed densities and two times
of emergence, Common ragweed leaf area was read into the model from i
nput files and used to simulate weed shading. Shading of the dry bean
canopy by common ragweed accounted for about 50 to 70% of the yield lo
sses observed in field studies when weeds emerged with the crop. Weed
shading did not account for the yield reduction measured from weeds th
at emerged at the second trifoliate stage of crop growth. The agreemen
t between model predictions and field studies was consistent with the
hypothesis that competition for PAR was a principal factor in weed-cro
p interaction. The ability to account for differences in weed densitie
s, management, and environmental conditions suggested that modeling wa
s a useful tool for evaluating the interaction among weeds and crops.