Fungal Biocontrol Agents in the Management of Postharvest Losses of Fresh Produce—A Comprehensive Review
Journal of Fungi,
Год журнала:
2025,
Номер
11(1), С. 82 - 82
Опубликована: Янв. 20, 2025
Postharvest
decay
of
vegetables
and
fruits
presents
a
significant
threat
confronting
sustainable
food
production
worldwide,
in
the
recent
times,
applying
synthetic
fungicides
has
become
most
popular
technique
managing
postharvest
losses.
However,
there
are
concerns
reported
proofs
hazardous
impacts
on
consumers’
health
environment,
traceable
to
application
chemical
treatments
as
preservatives
fresh
produce.
Physical
methods,
other
hand,
cause
damage
produce,
exposing
it
even
more
infections.
Therefore,
healthier
environmentally
friendly
alternatives
existing
methods
for
decays
produce
should
be
advocated.
There
is
increasing
consensus
that
utilization
biological
control
agents
(BCAs),
mainly
fungi,
represents
effective
strategy
controlling
losses
compared
physical
treatments.
Secretion
antifungal
compounds,
parasitism,
well
competition
nutrients
space
common
antagonistic
mechanisms
employed
by
these
BCAs.
This
article
provides
an
overview
(i)
currently
used
management
diseases
highlighting
their
limitations,
(ii)
use
biocontrol
alternative
such
diseases,
with
emphasis
fungal
antagonists,
mode
action,
and,
importantly,
advantages
when
commonly
used.
We
therefore
hypothesize
antagonists
prevention
loss
methods.
Finally,
particular
attention
given
gaps
observed
establishing
beneficial
microbes
BCAs
factors
hamper
development,
particularly
terms
shelf
life,
efficacy,
commercialization,
legislation
procedures.
Язык: Английский
Insights into the association of Nicotiana tabacum health with eukaryotic microbial community and environmental factors
Frontiers in Plant Science,
Год журнала:
2025,
Номер
16
Опубликована: Апрель 3, 2025
As
an
important
cash
crop,
Nicotiana
tabacum's
yield
and
quality
are
influenced
by
various
factors,
yet
the
correlations
between
its
health
status,
microbial
community,
environmental
factors
remain
largely
unexplored.
In
this
study,
we
analyzed
diversity
of
tabacum
rhizosphere
microbiomes
using
ITS
rDNA
sequencing
under
different
conditions.
Compared
with
soil
associated
healthy
tabacum,
alpha
beta
eukaryotic
community
decreased
in
diseased
indicating
a
decline
abundance
composition.
soil,
exhibited
looser
structural
networks,
assembly
process
both
communities
predominantly
governed
stochastic
processes.
Soil
element
measurements
correlation
analyses
identified
pH,
manganese,
copper
as
key
status
tabacum.
A
machine
learning
model
incorporating
major
phyla
was
developed
to
predict
achieving
high
accuracy
93%.
These
findings
collectively
offer
comprehensive
insights
into
relationship
conditions,
community.
Язык: Английский