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A new image-based tool for the high throughput phenotyping of pollen viability: evaluation of inter- and intra-cultivar diversity in grapevine.

Javier TelloMaría Ignacia MontemayorAstrid ForneckJavier Ibáñez
Published in: Plant methods (2018)
The use of PollenCounter is expected to aid in different areas, including genetics research studies, crop improvement and breeding strategies that need of fast, precise and accurate results. Considering its flexibility, it can be used not only in grapevine, but also in other species showing a differential staining of viable and non-viable pollen grains. The wide phenotypic diversity observed at a species level, together with the identification of specific cultivars and clones largely differing in this trait, pave the way of further analyses aimed to understand the physiological and genetic causes driving to male sterility in grapevine.
Keyphrases
  • high throughput
  • genome wide
  • climate change
  • single cell
  • deep learning
  • high resolution
  • gene expression
  • copy number
  • case control
  • machine learning
  • flow cytometry
  • bioinformatics analysis
  • mass spectrometry