1. Amanita sp-ITAL01, forêt de La Gauderie, commune de Notre-Dame-de-Sanilhac, Dordogne, FRANCE. (RET 821-3)
intro
Data is being accumulated on the technical tab first.
odor/taste
The odor and taste of this species have not been
recorded.
discussion
—R. E. Tulloss
brief editors
RET
name
Amanita sp-ITAL01
name status
cryptonomen temporarium
GenBank nos.
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At 547 - 850 m elev. France: Under
Quercus robur and Carpinus
betulus.
Italy: With Quercus cerris.
Sweden: With Betula.
material examined
FRANCE:
DORDOGNE—commune de
Notre-Dame-de-Sanilhac, forêt de La Gauderie,
3.viii.2011 Guillaume Eyssartier GE 11-011 (RET
821-3, nrITS seq'd.).
ITALY:
COSENZA—Acri - Cozzo Sant’Angelo
[850 m], 19.vi.2005 Carmine Lavorato 050619-01
(in herb. C. Lavorato; RET 427-2, nrITS &
nrLSU seq'd.).
TUSCANY—Pistoia [43.9955° N / 10.9153° W,
547 m], 2.viii.2014 Luca Pasquali s.n.
[mushroomobserver
#172299]
(RET 658-4, nrITS & nrLSU seq'd.).
SWEDEN:
SODERMANLAND—Flen - Malmköping,
10.ix.2019 Bonnie Wolfmeier s.n. (RET 884-9,
nrITS-LSU seq'd.)
discussion
The ITS derived from RET 685-4 is 100% pairwise identical
to an environmental sample derived from the root tip of
a German Quercus. The
authors of the latter sequence are being
contacted.
citations
—R. E. Tulloss
editors
RET
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name
Amanita sp-ITAL01
name status
cryptonomen temporarium
author
Tulloss, S. D. Russell & Kudzma
images
1. Amanita sp-ITAL01, forêt de La Gauderie, commune de Notre-Dame-de-Sanilhac, Dordogne, FRANCE. (RET 821-3)
photo
Guillaume Eyssartier - (1)
name
Amanita sp-ITAL01
name
Amanita sp-ITAL01
Spore data for collections provisionally identified as: Amanita sp-ITAL01 Tulloss, S. D. Russell & Kudzma
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.
Spore data sets and their composite