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This approach works with the most complete names first, with the theory that a name with less detail will match multiple names with more detail.  If a name is integrated with less detail then

The fields that are used for defining a distinct name are:

  • Canonical
  • Rank
  • Authors
  • Year 
  • Genus
  • Species
  • GoverningCode

Genus and Species are not fields of a name, but are calculated fields based on parent concepts.The theory with including these fields is to ensure and sub generic name or sub specific name matches other sub generic/specific names that do not have exactly the same parent hierarchy.

For example:

Name 1: Aus bus var. cus

  • Aus, genus
    • bus , species
      • cus, variety

Name 2: Aus bus xus var. cus

  • Aus, genus
    • bus, species
      • xus, subspecies
        • cus, variety

The fields for these 2 names will be:

Name CanonicalRankAuthorsYear GenusSpeciesGoverning Code 
 1cusvar.  AusbusICBN 
 2cusvar.  AusbusICBN

So according to these fields, the names will match even though the direct parents of the 2 'cus' names are different, which is correct.

Another example:

 

Generating Consensus Records

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