Estimation of key parameters for weed population dynamics models: Base temperature and base water potential for germination

2010 ◽  
Vol 32 (2) ◽  
pp. 162-168 ◽  
Author(s):  
A. Gardarin ◽  
J.-P. Guillemin ◽  
N.M. Munier-Jolain ◽  
N. Colbach
Agronomy ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 747
Author(s):  
Jonathan Storkey ◽  
Joseph Helps ◽  
Richard Hull ◽  
Alice E. Milne ◽  
Helen Metcalfe

Weed population dynamics models are an important tool for predicting the outcome of alternative Integrated Weed Management (IWM) scenarios. The growing problem of herbicide resistance has increased the urgency for these tools in the design of sustainable IWM solutions. We developed a conceptual framework for defining IWM as a standardised input template to allow output from different models to be compared and to design IWM scenarios. The framework could also be used as a quantitative metric to determine whether more diverse systems are more sustainable and less vulnerable to herbicide resistance using empirical data. Using the logic of object-oriented programming, we defined four classes of weed management options based on the stage in the weed life cycle that they impact and processes that mediate their effects. Objects in the same class share a common set of properties that determine their behaviour in weed population dynamics models. Any weed control “event” in a system is associated with an object, meaning alternative management scenarios can be built by systematically adding events to a model either to compare existing systems or design novel approaches. Our framework is designed to be generic, allowing IWM systems from different cropping systems and countries to be compared.


1992 ◽  
Vol 6 (1) ◽  
pp. 184-190 ◽  
Author(s):  
Nicholas Jordan

Threshold weed management methods have recently been elaborated to consider effects of threshold management on weed population dynamics. Such economic optimum thresholds are calculated using population-dynamics models which require detailed information about weed demography, including seed production (as affected by events between germination and seed dispersal), seed dispersal, and seed survival and movement in soil. Factors affecting any of these aspects of demography appear likely to modulate the growth rate of a sub-threshold population and therefore to influence the economic optimum threshold value. To test this conjecture and evaluate weed threshold management, including associated risk, improved understanding is particularly needed of weed seed dispersal, seedbank processes, and unpredictable demographic variation.


1998 ◽  
Vol 194 (1) ◽  
pp. 1-9 ◽  
Author(s):  
J.M. Cushing ◽  
R.F. Costantino ◽  
Brian Dennis ◽  
R.A. Desharnais ◽  
Shandelle M. Henson

2020 ◽  
Vol 27 (1) ◽  
pp. 008-016
Author(s):  
Verónica C. Andreo ◽  
Mauricio Lima ◽  
Jaime J. Polop ◽  
M. Cecilia Provensal

2009 ◽  
Author(s):  
Mohamed O. El-Doma ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
Ch. Tsitouras

Ecology ◽  
2019 ◽  
pp. e02715 ◽  
Author(s):  
Floriane Plard ◽  
Rémi Fay ◽  
Marc Kéry ◽  
Aurélie Cohas ◽  
Michael Schaub

2018 ◽  
Vol 21 (12) ◽  
pp. 1790-1799 ◽  
Author(s):  
Mohsen Kayal ◽  
Hunter S. Lenihan ◽  
Andrew J. Brooks ◽  
Sally J. Holbrook ◽  
Russell J. Schmitt ◽  
...  

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