Results 241 to 250 of about 70,208 (311)

Thirty years of glyphosate‐resistant crops and weeds: Current situation and future prospects

open access: yesPest Management Science, EarlyView.
Since 1996, when the first glyphosate‐resistant crop was commercialized and the first resistant weed was reported, resistance has expanded globally. This review analyzes emergence patterns across weed species, crops, regions, resistance mechanisms, and herbicides.
Ricardo Alcántara‐de la Cruz   +7 more
wiley   +1 more source

Long-term conservation agriculture with optimum nitrogen fertilization improves soil phosphorus availability. [PDF]

open access: yesPLoS One
Jahan Mumu N   +6 more
europepmc   +1 more source

Fendioxypyracil, a new and systemic PPO‐inhibiting herbicide for X‐spectrum weed control

open access: yesPest Management Science, EarlyView.
This graphical abstract presents the discovery and synthesis of PPO herbicide structures with a central pyridine core, showing molecular conformations, dose–response inhibition curves for PPO1 and PPO2, and comparative weed and grass control efficacy of fendioxypyracil versus other herbicides in greenhouse and field trials.
Tobias Seiser   +8 more
wiley   +1 more source

Community composition, abundance and activity‐density of carabids and staphylinids depend on prey abundance and adjacent habitat even in diverse agricultural landscapes

open access: yesPest Management Science, EarlyView.
Carabid and staphylinid communities are shaped by adjacent habitat type, prey availability and landscape context, influencing natural pest control across agricultural landscapes. Abstract BACKGROUND The functioning of agroecosystems depends on key ecosystem processes that deliver ecosystem services, yet agricultural management has increasingly shifted ...
Riina Kaasik   +5 more
wiley   +1 more source

Impact of data assimilation on Arctic sea‐ice thickness variability and its coupling with atmospheric forcing

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We document for the first time how the assimilation of CS2SMOS observations improves the model representation of Arctic sea‐ice thickness (SIT) and its variability: biases are reduced (top row), while excessive variability in the Beaufort Sea and lack of variability in the ice pack are both corrected (bottom row).
Jiping Xie   +3 more
wiley   +1 more source

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