Results 11 to 20 of about 1,037 (176)

Deep haplotype analyses of target-site resistance locus ACCase in blackgrass enabled by pool-based amplicon sequencing. [PDF]

open access: yesPlant Biotechnol J, 2023
Summary Rapid adaptation of weeds to herbicide applications in agriculture through resistance development is a widespread phenomenon. In particular, the grass Alopecurus myosuroides is an extremely problematic weed in cereal crops with the potential to manifest resistance in only a few generations.
Kersten S   +6 more
europepmc   +6 more sources

Exploring the Effects of Different Stubble Tillage Practices and Glyphosate Application Combined with the New Soil Residual Herbicide Cinmethylin against Alopecurus myosuroides Huds. in Winter Wheat

open access: yesAgronomy, 2022
Effective control of Alopecurus myosuroides Huds. (blackgrass) solely with a chemical treatment is not guaranteed anymore because populations exhibit resistance to almost all herbicide modes of action.
Miriam Hannah Messelhäuser   +3 more
doaj   +3 more sources

Molecular analysis of metabolic resistance in blackgrass

open access: yesJulius-Kühn-Archiv, 2014
A transcriptomics approach was chosen in order to determine candidate genes for metabolic herbicide resistance in a quantitative comparison of expressed genes in sensitive wild type and resistant blackgrass (Alopecurus myosuroides = ALOMY) plants ...
Höfer, Michael U.   +3 more
doaj   +2 more sources

THE EFFECT OF LEAF ORIENTATION ON SPRAY RETENTION ON BLACKGRASS [PDF]

open access: yes, 2012
Spray application efficiency depends on the pesticide application method as well as target properties. A wide range of drop impact angles exists during the spray application process because of drop trajectory and the variability of the leaf orientation ...
Boukhalfa, Hassina dite Hafida   +3 more
core   +2 more sources

Standing genetic variation fuels rapid evolution of herbicide resistance in blackgrass. [PDF]

open access: yesProc Natl Acad Sci U S A, 2023
Repeated herbicide applications in agricultural fields exert strong selection on weeds such as blackgrass ( Alopecurus myosuroides ), which is a major threat for temperate climate cereal crops.
Kersten S   +14 more
europepmc   +11 more sources

Mechanisms of seed persistence in blackgrass (Alopecurus myosuroides Huds.)

open access: yesWeed Research, Volume 64, Issue 3, Page 237-250, June 2024.
Abstract Seed dormancy is the key factor determining weed emergence in agricultural fields and there is growing interest in weed seeds as a target for weed management. A foremost limitation to this approach is the lack of molecular insight into the mechanisms regulating dormancy in weed seeds.
Thomas Holloway   +9 more
wiley   +2 more sources

Root discrimination of closely related crop and weed species using FT MIR-ATR spectroscopy [PDF]

open access: yesFrontiers in Plant Science, 2015
Root discrimination of species is a pre-condition for studying belowground competition processes between crop and weed species. In this experiment, we tested Fourier transform mid-infrared (FT MIR)-attenuated total reflection (ATR) spectroscopy to ...
Catharina eMeinen, Rolf eRauber
doaj   +2 more sources

Tolerance of blackgrass (Alopecurus myosuroide) to sylfonylurea herbicides in the Czech Republic [PDF]

open access: yesPlant Protection Science, 2011
Seeds of three blackgrass populations fromSouthern Bohemiawere collected in 2007-2008. Biological tests with chlorsulfuron were performed at the 2-3 leaf stage. Some plants survived after treatment with the highest dose 37.5 g/ha. Biological tests showed
Lucie Slavíková   +2 more
doaj   +2 more sources

The role of interspecific variability and herbicide pre-adaptation in the cinmethylin response of Alopecurus myosuroides [PDF]

open access: yesPest Management Science, Volume 80, Issue 7, Page 3172-3181, July 2024.
BACKGROUND: Cinmethylin is an inhibitor of plant fatty acid biosynthesis, with in-plant activity caused by its binding to fatty acid thioesterases (FAT).
Comont, D.   +5 more
core   +2 more sources

Weed Growth Stage Estimator Using Deep Convolutional Neural Networks [PDF]

open access: yesSensors, 2018
This study outlines a new method of automatically estimating weed species and growth stages (from cotyledon until eight leaves are visible) of in situ images covering 18 weed species or families.
Nima Teimouri   +5 more
doaj   +2 more sources

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