Agriculture,
Год журнала:
2024,
Номер
14(8), С. 1424 - 1424
Опубликована: Авг. 22, 2024
Climate
change
and
soil
acidification
are
critical
factors
affecting
crop
production
quality.
This
study
comprehensively
analyzed
the
impact
of
fertilization
practices,
including
conventional
(CA),
sustainable
(SA),
unfertilized
(BK),
on
properties,
enzyme
activities,
gene
diversity
in
paddy
fields
across
seasonal
changes.
Soil
pH
was
significantly
influenced
by
fertilization,
with
higher
BK
a
decrease
increased
fertilization.
activities
Biolog
EcoPlate™
analysis
revealed
lowest
September,
highest
December
under
different
practices.
Metagenomic
showed
genetic
richness
CA
soil,
variations
influencing
diversity.
From
perspective
genes
species
taxonomy,
Sorangium
cellulosum
Anaeromyxobacter
sp.
were
most
abundant
taxa.
annotated
CAZy,
COG,
GO
databases
highly
similar
structures
among
Moreover,
origins
enzymes
linked
to
specific
bacterial
contributors.
While
not
all
gene’s
abundance
associated
activity,
arylsulfatase
an
obvious
correlation.
Enzyme
proved
more
sensitive
indicators
microbial
activity
than
abundance.
emphasizes
need
for
rational
strategies
maintain
considering
agricultural
practices
variations.
PeerJ,
Год журнала:
2025,
Номер
13, С. e19000 - e19000
Опубликована: Март 26, 2025
Mineral
fertilizers
are
widely
used
to
improve
rice
yields,
but
their
overuse
has
caused
severe
environmental
problems.
Replacing
mineral
with
organic
alternatives
might
be
an
effective
practice
for
enhancing
agro-ecosystems.
This
study
investigated
treatments
varying
proportions
of
substitution
determine
the
optimal
approach
increasing
soil
fertility
and
yield.
In
addition,
relationship
between
methane
emission
characteristics
associated
microbial
communities
was
studied
by
microcosm
experiments
high-throughput
sequencing
assess
greenhouse
gas
emissions.
Compared
alone,
treatment
substitution,
especially
at
high
proportions,
increased
pH,
fertility,
crop
Treatment
a
medium
proportion
cumulative
(CH4)
emissions
44.8%
relative
fertilization
that
low
showed
similar
compared
alone.
Organic
significantly
gene
copy
numbers
methanogens
methanotrophs,
highest
increases
observed
under
substitution.
The
number
4.87
times,
methanophiles
13.11
times.
Additionally,
changed
community
compositions.
High
exceptionally
abundance
methanotrophs.
enhanced
Type
I
taxa
methanotrophs
pH
trigger
higher
pmoA
abundance,
thus
strengthening
oxidation
capacity
without
additional
CH4
Besides,
yield
reduced
amount
needed,
resulting
in
less
pollution.
comprehensively
evaluated
effects
fertilizers,
providing
essential
theoretical
basis
sustainable
development
agriculture.
Land Degradation and Development,
Год журнала:
2024,
Номер
35(16), С. 4875 - 4886
Опубликована: Авг. 20, 2024
Abstract
Land‐use
conversion
profoundly
influences
the
soil
pore
structure,
consequently
modifying
functions.
Investigating
variation
of
multiscale
structure
and
their
associated
functions
following
land‐use
change
is
critical
for
evaluating
land
management
strategies.
However,
this
topic
has
not
yet
been
extensively
explored
in
recent
studies.
In
study,
was
quantitatively
investigated
by
X‐ray
tomography.
Intact
aggregates
undisturbed
cores
were
collected
from
paddy
fields
(PF)
vegetable
converted
5
years
(VF‐5),
13
(VF‐13),
20
(VF‐20),
respectively.
Results
revealed
that
connected
porosity
both
significantly
increased
after
conversion.
The
isolated
increased,
while,
conversely,
it
decreased
cores.
variance
attributed
to
development
new
pores,
including
channels
created
roots,
fissures,
earthworm
holes,
packing
pores
resulting
decomposition
organic
matter
rearrangement
particles.
altered
influenced
exchangeability
reservation
ability.
For
aggregates,
PF
VF‐5
accounted
over
70%
total
imaged
porosity.
These
displayed
a
larger
water
carbon
ability,
but
limited
air,
water,
nutrients.
VF‐13
VF‐20
approximately
50%
porosity,
suggesting
they
could
effectively
balance
exchange
storage
As
cores,
became
negligible
(<0.2%)
conversion,
leading
emergence
drainable
system
suitable
plantation.
findings
offer
insights
into
structures
prediction
function
variations
at
multiple
scales,
which
are
crucial
optimizing
protocols.
