AlertInf is a prediction model for the emergence of weeds recently developed for five important summer annual weed species in maize and soybean fields in the Veneto region (Italy). The model is based on the hydrothermal time concept, which assumes that temperature and water potential have a primary influence on seed emergence. Thus, the application of this concept is possible when the specific biological thresholds are known. Consequently, the aim of this study was to provide a data set of base temperature and water potential for the summer annual weeds Abutilon theophrasti, Amaranthus retroflexus, Chenopodium album and Echinochloa crus-galli collected in continental Croatia. The comparison of the base parameters for Croatian and Italian ec...
Predicting weed emergence is useful for planning weed management programs. Unfortunately, our abilit...
Italian ryegrass (Lolium multiflorum L.) is a highly competitive weed widely disseminated worldwide ...
Levels of weed infestation can be inferred from climate information since every species requires spe...
Effective weed management depends on correct control timing, which depends on seedling emergence dyn...
Background and Purpose: Velvetleaf seed longevity and prolonged emergence complicate assessing appro...
Echinochloa crus-galli (L.) P. Beauv. is the most common monocotyledonous weed in maize crops in Cro...
Predicting weed emergence dynamics can help farmers to plan more effective weed control. The hydroth...
A hydrothermal time model was developed to simulate field emergence for three weed species in maize ...
Echinochloa crus-galli (L.) P. Beauv. is the most common monocotyledonous weed in maize crops in Cro...
International audienceSeed germination partly depends on both base temperature (Tb) and base water p...
International audienceIn fields, the timing of weed emergence flushes is mostly related to the timin...
Weed emergence models require the estimation of base temperature for germination (T-b) that was esti...
The agronomic importance of knowing weed emergence patterns has been recognized for many years and s...
Weeds represent the main cause of economic losses in agriculture worldwide, both as crop yield reduc...
Introduction: Seed germination is an important stage in the life history of plant affecting seedling...
Predicting weed emergence is useful for planning weed management programs. Unfortunately, our abilit...
Italian ryegrass (Lolium multiflorum L.) is a highly competitive weed widely disseminated worldwide ...
Levels of weed infestation can be inferred from climate information since every species requires spe...
Effective weed management depends on correct control timing, which depends on seedling emergence dyn...
Background and Purpose: Velvetleaf seed longevity and prolonged emergence complicate assessing appro...
Echinochloa crus-galli (L.) P. Beauv. is the most common monocotyledonous weed in maize crops in Cro...
Predicting weed emergence dynamics can help farmers to plan more effective weed control. The hydroth...
A hydrothermal time model was developed to simulate field emergence for three weed species in maize ...
Echinochloa crus-galli (L.) P. Beauv. is the most common monocotyledonous weed in maize crops in Cro...
International audienceSeed germination partly depends on both base temperature (Tb) and base water p...
International audienceIn fields, the timing of weed emergence flushes is mostly related to the timin...
Weed emergence models require the estimation of base temperature for germination (T-b) that was esti...
The agronomic importance of knowing weed emergence patterns has been recognized for many years and s...
Weeds represent the main cause of economic losses in agriculture worldwide, both as crop yield reduc...
Introduction: Seed germination is an important stage in the life history of plant affecting seedling...
Predicting weed emergence is useful for planning weed management programs. Unfortunately, our abilit...
Italian ryegrass (Lolium multiflorum L.) is a highly competitive weed widely disseminated worldwide ...
Levels of weed infestation can be inferred from climate information since every species requires spe...