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in herb. P. Neville 02.09.19.11a => in herb. S. Poumarat; isotype, in herb. P. Neville 02.09.19.11b => in herb. S. Poumarat
The following text may make multiple use of each data field.
The field may contain magenta text presenting data from a type study
and/or revision of other original material cited in the protolog of the present taxon.
Macroscopic descriptions in magenta are a combination of data from the protolog and
additional observations made on the exiccata during revision of the cited original
The same field may also contain black text, which is data from a revision of the present
taxon (including non-type material and/or material not cited in the protolog).
Paragraphs of black text will be labeled if further subdivision of
this text is appropriate.
Olive text indicates a specimen that has not been
thoroughly examined (for example, for microscopic details) and marks other places in the text
where data is missing or uncertain.
The following material is derived from the protolog of the present species.
from protolog: .
not measured and reported correctly in protolog—values of Q commonly < 1.0. Cannot be compared with other taxa.
from protolog: Under Betula pendula in lawn or under mixed Betula and Salix. [Note: Paratype collections were made in environments in which other genera of trees were present. This data field will be updated.—ed.]
from protolog: FRANCE: HAUTE-LOIRE—la Chaise-Dieu, 22.ix.2002 P.-A. Moreau s.n. (holotype, in herb. P. Neville 02.09.19.11a => in herb. S. Poumarat; isotype, in herb. P. Neville 02.09.19.11b => in herb. S. Poumarat). [Note: Paratype collections remain to be added.—ed.]
—R. E. Tulloss
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Neville & Poumarat
"Birch Ringless Amanita"
Spore data for collections provisionally identified as: Amanita betulae Neville & Poumarat
Each spore data set is intended to comprise a set of measurements from a single specimen made by a single observer;
and explanations prepared for this site talk about specimen-observer pairs associated with each data set.
Combining more data into a single data set is non-optimal because it obscures observer differences
(which may be valuable for instructional purposes, for example) and may obscure instances in which
a single collection inadvertently contains a mixture of taxa.