Results 101 to 110 of about 268 (137)

Deep homology and developmental constraint underlie the replicated evolution of grass awns

open access: yes
Erin PL   +6 more
europepmc   +1 more source

Synthesis and biological profile of 2,3-dihydro[1,3]thiazolo[4,5-b]pyridines, a novel class of acyl-ACP thioesterase inhibitors. [PDF]

open access: yesBeilstein J Org Chem
Frackenpohl J   +14 more
europepmc   +1 more source

Review of Chinese medicine intervention in PI3K/AKT pathway to regulate fibrosis. [PDF]

open access: yesMedicine (Baltimore)
Huang SP   +5 more
europepmc   +1 more source

Glutathione Transferase Photoaffinity Labeling Displays GST Induction by Safeners and Pathogen Infection. [PDF]

open access: yesPlant Cell Physiol
Font Farre M   +8 more
europepmc   +1 more source

The blackgrass genome reveals patterns of non‐parallel evolution of polygenic herbicide resistance [PDF]

open access: yesNew Phytologist, 2023
Summary Globally, weedy plants are a major constraint to sustainable crop production. Much of the success of weeds rests with their ability to rapidly adapt in the face of human‐mediated management of agroecosystems. Alopecurus myosuroides (blackgrass) is a widespread and impactful weed affecting agriculture in Europe. Here we report a chromosome‐scale
Christopher Saski   +2 more
exaly   +6 more sources

Sequence Characterization of Extra-Chromosomal Circular DNA Content in Multiple Blackgrass (Alopecurus myosuroides) Populations [PDF]

open access: yesGenes, 2023
Alopecurus myosuroides (blackgrass) is a problematic weed of Western European winter wheat, and its success is largely due to widespread multiple-herbicide resistance. Previous analysis of F2 seed families derived from two distinct blackgrass populations exhibiting equivalent non-target site resistance (NTSR) phenotypes shows resistance is polygenic ...
Christopher Saski   +2 more
exaly   +4 more sources

Spectral analysis and mapping of blackgrass weed by leveraging machine learning and UAV multispectral imagery

open access: yesComputers and Electronics in Agriculture, 2022
Accurate weed mapping is a prerequisite for site-specific weed management to enable sustainable agriculture. This work aims to analyse (spectrally) and mapping blackgrass weed in wheat fields by integrating Unmanned Aerial Vehicle (UAV), multispectral imagery and machine learning techniques.
Xiaojun Zhai   +2 more
exaly   +3 more sources

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