Postharvest
fungus
present
in
the
fruit
Vitis
labrusca
commercialized
Maringá-Brazil
was
isolated,
and
behavior
of
essential
oils
Cymbopogon
flexuosus
(EOCF),
Origanum
vulgare
(EOOV)
Thymus
vulgaris
(EOTV)
were
evaluated
by
vitro
situ
against
isolate.
The
microorganism
isolated
characterized
molecular
analysis.
EOs
antifungal
activity
these
fungal
evaluated.
confirmed
as
Alternaria
alternata.
composition
revealed
to
EOOV,
carvacrol
(89.34%);
EOTV,
thymol
(63.09%)
EOCF,
geranial
(62.46%)
neral
(24.01%).
effective
A.
alternata
vitro,
highlighting
EOOV
(MIC
250
μg
mL-1)
still
more
percentage
inhibition,
even
lowest
concentration
(125
with
49.29%
growth
curve
mycelial
agar
diffusion
test.
It
has
been
demonstrated
that
all
caused
morphological
changes
hyphae
conidia
evaluation,
treatments
T.
x
O.
EO
C.
showed
maintenance
quality
absence
microorganism,
OEs
an
efficient
natural
fungicide.
Food Processing Techniques and Technology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 261 - 274
Published: July 3, 2024
Berries
are
a
source
of
biologically
active
substances
in
human
diet.
Gooseberries
have
attractive
sensory
properties
and
high
nutritional
value.
However,
modern
science
knows
little
about
micromycetic
contamination
gooseberry.
The
research
objective
was
to
define
the
mycobiota
composition
Ribes
uva-crispa
L.
varieties
during
storage.
study
featured
gooseberry
Senator
Rozoviy
2.
berries
were
harvested
on
test
field
Siberian
Federal
Scientific
Center
Agro-BioTechnologies
Russian
Academy
Sciences.
They
stored
for
18
days
at
±
2
4
2°C
relative
humidity
90–95%.
authors
used
standard
methods
identify
attribute
them
nine
genera
by
morphological
structure:
Aspergillus,
Mucor,
Penicillium,
Rhizopus,
Alternaria,
Aureobasidium,
Cladosporium,
Cryptococcus,
anaerobic
yeast.
frequency
occurrence
varied
from
20
100%.
Micromycetes
genus
Fusarium
present
only
sample,
which
also
demonstrated
100%
Cladosporium.
In
sample
2,
Penicillium
Cladosporium
occurred
80%.
twice
as
low
micromycetes
berries:
558
vs.
945,
respectively.
grew
due
fungi
while
owed
its
increase
Penicillium.
Both
showed
no
signs
ascomycetes
known
powdery
mildew
agent.
During
storage,
growth
yeast
yeast-like
depended
variety
mycelial
storage
temperature.
data
obtained
expand
scope
scientific
knowledge
generic
mycobiota,
may
help
select
correct
anti-spoilage
measures.
International Journal of Agronomy,
Journal Year:
2024,
Volume and Issue:
2024(1)
Published: Jan. 1, 2024
Pathogenic
fungi
can
cause
significant
annual
losses
in
the
quality
and
quantity
of
fruits
belonging
to
Rosaceae
family
during
pre‐
postharvest.
Synthetic
fungicides
are
considered
main
method
for
controlling
diseases
food
crops;
however,
they
pose
a
great
risk
human
health
environment.
As
result,
biological
control
methods,
which
based
on
living
microorganisms
reduce
population
or
inhibit
growth
pathogens,
have
arisen
as
safe
alternative.
In
this
review,
we
highlight
principal
mechanisms
(e.g.,
nutrition
space
competition,
mycoparasitism,
induced
resistance
enhancement,
production
volatile
organic
compounds,
antibiosis)
utilized
by
most
frequently
reported
non‐Saccharomyces
biocontrol
agents
(BCAs)
yeasts:
Meyerozyma
guilliermondii
,
Pichia
membranifaciens
Wickerhamomyces
anomalus
Metschnikowia
pulcherrima
Hanseniaspora
uvarum
Aureobasidium
pullulans
against
common
pathogenic
found
within
family:
Penicillium
expansum
Botrytis
cinerea
Monilinia
spp.
Understanding
BCAs’
importance
mode
action
is
necessary
step
order
detrimental
effect
spoilage
agriculture
industry,
achieving
more
sustainable
safer
them.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI),
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 9
Published: May 25, 2023
The
quality
evaluation
of
agricultural
goods
are
vital
components
in
improving
their
vendibility
and
managing
wastes.
Fruit
diseases
present
a
persistent
risk
to
producers
consumers.
Precision
agriculture
can
assist
making
decisions
on
the
management
fruit
by
using
computer
vision-based
approaches.
Manual
disease
detection
is
highly
challenging
it
takes
an
excessive
amount
effort,
knowledge,
processing
time.
Deep
learning
therefore
used
better
accurately
diagnose
diseases.
In
this
work,
aimed
deep
framework
approach
for
quickly
identifying
apparent
defects
amla
fruit.
proposed
algorithm,
convolutional
neural
network
model
with
marine
predator
optimization
algorithm
optimizing
accuracy
structure
comprises
feature
extraction
optimum
classification.
hyperparameters
training
layers
tuned
algorithm.
efficiency
evaluated
compared
other
strategies.
optimized
outperforms
providing
greater
classification
when
current
approaches,
according
numerical
analysis,
demonstrating
its
potential
accurate
Postharvest
fungus
present
in
the
fruit
Vitis
labrusca
commercialized
Maringá-Brazil
was
isolated,
and
behavior
of
essential
oils
Cymbopogon
flexuosus
(EOCF),
Origanum
vulgare
(EOOV)
Thymus
vulgaris
(EOTV)
were
evaluated
by
vitro
situ
against
isolate.
The
microorganism
isolated
characterized
molecular
analysis.
EOs
antifungal
activity
these
fungal
evaluated.
confirmed
as
Alternaria
alternata.
composition
revealed
to
EOOV,
carvacrol
(89.34%);
EOTV,
thymol
(63.09%)
EOCF,
geranial
(62.46%)
neral
(24.01%).
effective
A.
alternata
vitro,
highlighting
EOOV
(MIC
250
μg
mL-1)
still
more
percentage
inhibition,
even
lowest
concentration
(125
with
49.29%
growth
curve
mycelial
agar
diffusion
test.
It
has
been
demonstrated
that
all
caused
morphological
changes
hyphae
conidia
evaluation,
treatments
T.
x
O.
EO
C.
showed
maintenance
quality
absence
microorganism,
OEs
an
efficient
natural
fungicide.
