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Predicting the quality of ryegrass using hyperspectral imaging.

Paul R ShortenShane R LeathJana SchmidtKioumars Ghamkhar
Published in: Plant methods (2019)
This study paves the way for the HSI technology to be used for in-field estimation of forage composition attributes in perennial ryegrass. This will allow more rapid genetic-based selection and breeding for a trait that is normally expensive to measure providing a cheaper, non-destructive and high throughput screening tool.
Keyphrases
  • high throughput
  • genome wide
  • high resolution
  • single cell
  • gene expression
  • quality improvement
  • mass spectrometry
  • quantum dots