Cargando…
DiSCount: computer vision for automated quantification of Striga seed germination
BACKGROUND: Plant parasitic weeds belonging to the genus Striga are a major threat for food production in Sub-Saharan Africa and Southeast Asia. The parasite’s life cycle starts with the induction of seed germination by host plant-derived signals, followed by parasite attachment, infection, outgrowt...
Autores principales: | Masteling, Raul, Voorhoeve, Lodewijk, IJsselmuiden, Joris, Dini-Andreote, Francisco, de Boer, Wietse, Raaijmakers, Jos M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195706/ https://www.ncbi.nlm.nih.gov/pubmed/32377220 http://dx.doi.org/10.1186/s13007-020-00602-8 |
Ejemplares similares
-
Harnessing the microbiome to control plant parasitic weeds
por: Masteling, Raul, et al.
Publicado: (2019) -
Molecular detection and quantification of the Striga seedbank in agricultural soils
por: Mitiku, Getahun, et al.
Publicado: (2022) -
Rational design of Striga hermonthica-specific seed germination inhibitors
por: Zarban, Randa A, et al.
Publicado: (2021) -
Fusarium diversity associated with the Sorghum-Striga interaction in Ethiopia
por: Lombard, L., et al.
Publicado: (2022) -
A New Formulation for Strigolactone Suicidal Germination Agents, towards Successful Striga Management
por: Jamil, Muhammad, et al.
Publicado: (2022)