Results 311 to 320 of about 7,615,538 (400)

Effect of Weed Management on the Parasitoid Community in Mediterranean Vineyards. [PDF]

open access: yesBiology (Basel), 2020
Gabriella M   +5 more
europepmc   +1 more source

Biodiversity-based options for arable weed management. A review

open access: yesAgronomy for Sustainable Development, 2018
S. Petit   +5 more
semanticscholar   +1 more source

Modelling response of Delottococcus aberiae (De lotto) male captures to pheromone emission rates

open access: yesPest Management Science, EarlyView.
Using increasing doses of the sex pheromone of D. aberiae, our model revealed that the emission levels to maximize the captures of males ranges from 0.4 to 40 μg/day. Abstract BACKGROUND An invasive mealybug from South Africa identified as Delottococcus aberiae (De Lotto) (Hemiptera: Pseudococcidae) is causing severe distortions and fruit size ...
Aitor Gavara   +5 more
wiley   +1 more source

Is Pasture Cropping a Valid Weed Management Tool. [PDF]

open access: yesPlants (Basel), 2020
Luna IM   +2 more
europepmc   +1 more source

Is the current state of the art of weed monitoring suitable for site-specific weed management in arable crops?

open access: yes, 2018
C. Fernández-Quintanilla   +5 more
semanticscholar   +1 more source

Prediction of mixture toxicity of essential oil constituents using nonparametric and parametric models against Musca domestica L.

open access: yesPest Management Science, EarlyView.
This study evaluated the predictive performance of mixture toxicity models for binary blends of essential oil constituents against Musca domestica. Parametric models (BRAID, Zimmer, MuSyC) outperformed conventional null models by accounting for synergistic or antagonistic interactions, highlighting the need for model selection based on interaction ...
Junho Yoon, Jun‐Hyung Tak
wiley   +1 more source

Advancing Sclerotinia risk forecasting for winter rapeseed in Germany: integrating crop phenology and disease development into a decision support system

open access: yesPest Management Science, EarlyView.
Integrating crop phenology and sclerotia germination models into SkleroPro improved Sclerotinia risk prediction accuracy from 34% to 66%, optimizing fungicide timing and supporting sustainable winter rapeseed production. Abstract BACKGROUND Sclerotinia stem rot, caused by Sclerotinia sclerotiorum, threatens winter rapeseed (Brassica napus) production ...
Vera Krause   +4 more
wiley   +1 more source

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