Ct-based phenotyping and genome-wide association analysis of the internal structure and components of maize kernels

HIGHLIGHTS

  • who: Dazhuang Li and collaborators from the Beijing Key Laboratory of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China have published the research: CT-Based Phenotyping and Genome-Wide Association Analysis of the Internal Structure and Components of Maize Kernels, in the Journal: Agronomy 2023, 1078 of /2023/
  • what: The research has shown that the silty endosperm can be effectively approximated by applying Gaussian filtering to the endosperm regions, followed by binarization using the Otsu method. The work demonstrates the feasibility of using CT-characterized three-dimensional information . . .

     

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