Profiling the diversity of the village chicken faecal microbiota using 16S rRNA gene and metagenomic sequencing data to reveal patterns of gut microbiome signatures
Mxolisi Nene,
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Nokuthula Winfred Kunene,
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Rian Pierneef
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et al.
Frontiers in Microbiology,
Journal Year:
2025,
Volume and Issue:
15
Published: Feb. 4, 2025
Introduction
The
production
environment
of
extensively
raised
village
chickens
necessitates
their
adaptability
to
low-resource
systems.
gut
microbiome
plays
a
critical
role
in
supporting
this
by
influencing
health
and
productivity.
This
study
aimed
investigate
the
diversity
functional
capacities
faecal
from
Limpopo
KwaZulu-Natal
provinces
South
Africa.
Methods
Using
combination
16S
rRNA
gene
sequencing
shotgun
metagenomic
technologies,
we
analysed
98
72
datasets.
Taxonomic
profiles
annotations
were
derived,
focusing
on
microbial
diversity,
antibiotic
resistance
genes
(ARGs),
potential
zoonotic
pathogens.
Results
analysis
showed
that
predominant
phyla
both
Firmicutes,
Bacteroidota,
Proteobacteria,
Actinobacteria.
At
genus
level,
Escherichia
Shigella
prevalent,
with
coli
dysenteriae
identified
as
major
contributors
microbiome.
ARGs
identified,
MarA
,
PmrF
AcrE
detected
KwaZulu-Natal,
cpxA
mdtG,
TolA
Limpopo.
These
primarily
mediate
efflux
alteration.
Discussion
detection
bacteria
such
S
treptococcus
spp.
highlights
risks
humans
through
food
chain,
emphasizing
importance
improved
household
hygiene
practices.
underscores
chicken
adaptability,
linking
efficiency
settings.
Targeted
interventions
further
research
are
crucial
for
mitigating
enhancing
sustainability
farming.
Language: Английский
Optimization of Straw Particle Size for Enhanced Biogas Production: A Comparative Study of Wheat and Rapeseed Straw
К. Witaszek,
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Karol Kupryaniuk,
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Jakub Kupryaniuk
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et al.
Energies,
Journal Year:
2025,
Volume and Issue:
18(7), P. 1794 - 1794
Published: April 2, 2025
Biogas
production
from
lignocellulosic
biomass,
such
as
wheat
and
rapeseed
straw,
is
an
essential
strategy
for
sustainable
energy
generation.
However,
the
efficiency
of
anaerobic
digestion
depends
on
physical
characteristics
substrate,
particularly
particle
size,
which
influences
microbial
accessibility
biogas
yield.
This
study
aims
to
optimize
straw
size
enhanced
methane
by
evaluating
different
fractionation
levels.
The
was
processed
using
a
hammer
mill
separated
into
three
fractions
(2.4
mm,
1
mm)
alongside
non-separated
finely
ground
(2
samples.
chemical
composition
analyzed
X-ray
fluorescence
(XRF),
key
parameters
pH,
dry
matter
(DM),
organic
(ODM)
were
assessed.
results
indicated
that
had
lower
pH
(6.05)
DM
than
(7.01).
yield
analysis
demonstrated
varied
with
size.
For
samples
achieved
highest
(132.87
m3
Mg⁻1),
whereas
decreased
increased
fragmentation,
observed
material
(206.65
Mg⁻1).
carbon-to-nitrogen
(C/N)
ratio
in
(153.82),
potentially
limiting
activity,
while
finer
more
balanced
ratios.
These
findings
highlight
importance
mechanical
pretreatment
optimizing
provide
insights
improving
straw-based
systems.
Language: Английский
An Investigation on a Comprehensive Calibration Technique to Determine the Discrete Elemental Characteristics of Unrotted Sheep Dung at Varying Water Concentrations
Jian Wang,
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Kailin Ren,
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Zhe Li
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et al.
Agriculture,
Journal Year:
2024,
Volume and Issue:
14(10), P. 1762 - 1762
Published: Oct. 6, 2024
An
experimental
study
was
undertaken
to
investigate
the
problem
of
substantial
variability
in
water
content
unrotted
sheep
dung,
which
leads
a
lack
universality
and
practicality
calibrating
its
discrete
element
simulation
parameters.
The
stacking
angle
used
as
response
value
these
experiments.
objective
this
establish
precise
parameters
for
composting
process.
A
model
content-stacking
established
using
cylinder-lifting
technique,
resulting
correlation
0.997.
Utilizing
Hertz–Mindlin
with
JKR
bonding
model,
three
EDEM
particle
models
were
developed,
each
distinct
sizes,
based
on
size
distribution
dung.
surface
energy
determined
Plackett–Burman
test,
steepest-climbing
Box–Behnken
test
set
10
subsequent
conducted
energy,
rolling
friction
factor,
static
factor
utilizing
test.
parameter
angle–discrete
elements
developed
that
achieved
p-value
below
0.0001
relative
inaccuracy
3.46%
or
less.
regression
content–discrete
derived
by
combining
content–stacking
model.
Validation
both
pumping
plate
technique
hopper
approach,
error
4.89%
findings
demonstrate
specific
characteristics
manure
may
be
accurately
anticipated
considering
content.
This
approach
offers
valid
universally
applicable
way
predicting
dung
equipment.
Language: Английский
Investigation of the Composting Process of Mongolian Horse Manure Utilizing Intelligent Composting Equipment
Agronomy,
Journal Year:
2024,
Volume and Issue:
14(9), P. 2083 - 2083
Published: Sept. 12, 2024
The
Inner
Mongolia
Autonomous
Region,
known
for
its
famous
Mongolian
horses,
faces
significant
environmental
challenges
due
to
the
large-scale
rearing
of
these
animals,
which
produces
a
substantial
amount
manure.
If
not
managed
effectively,
this
manure
can
lead
severe
pollution.
aim
study
was
investigate
whether
small-scale
intelligent
aeration
and
heating
composting
system
is
effective
in
treating
horse
manure,
with
objective
enhancing
efficiency
resource
utilization
support
sustainable
agricultural
development
region.
equipment
utilized
treat
compost
mixture
corn
stover,
allowing
an
analysis
changes
key
indicators
throughout
process.
results
demonstrated
that
maintained
high
temperatures
up
eight
days
during
process,
effectively
inactivating
pathogens
promoting
efficient
decomposition
organic
matter.
also
successfully
controlled
humidity
12.7%
oxygen
concentration
within
optimal
range.
Post-composting
revealed
final
contained
2.3%
nitrogen,
1.3%
phosphorus,
1.2%
potassium,
pH
6.4
conductivity
approximately
5.2
mS/cm.
Additionally,
carbon-to-nitrogen
ratio
decreased
significantly
from
27.3
15.9,
indicating
matter
degradation.
Seed
germination
tests
showed
rates
80%,
86%,
75%
corn,
mung
bean,
wheat,
respectively,
seed
index
104%.
This
concluded
small
highly
producing
high-quality
fertilizers
enhance
soil
fertility
demonstrate
considerable
potential
supporting
practices
improving
management
Region.
Language: Английский
Design and Testing of a Small-Scale Composting Facility for Sheep Manure Utilizing Aeration and Thermal Treatment
Jian Wang,
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Kailin Ren,
No information about this author
Longfei Zhang
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et al.
Agriculture,
Journal Year:
2024,
Volume and Issue:
14(11), P. 2070 - 2070
Published: Nov. 18, 2024
Inner
Mongolia
has
the
largest
sheep
population
among
China’s
provinces,
resulting
in
production
of
a
substantial
amount
manure.
If
left
untreated,
this
manure
can
contribute
to
environmental
pollution.
However,
serves
dual
purpose:
it
be
both
pollutant
and
valuable
source
organic
fertilizer.
Consequently,
there
is
an
urgent
need
address
issues
arising
from
accumulation
its
unused
status.
In
paper,
viable
solution
proposed:
conversion
into
fertilizer
through
composting
unit
incorporating
high-temperature
aerobic
fermentation
technology.
This
unit,
tailored
for
small
farms
individual
farmers,
integrates
critical
functions
such
as
ventilation,
heating,
turning.
Additionally,
boasts
excellent
thermal
insulation,
enhancing
efficiency
enabling
precise
control
over
conditions.
design
mitigates
heat
loss
accelerates
maturation,
addressing
common
challenges
traditional
composting.
The
process
encompassed
equipment
construction
systems,
with
primary
focus
on
compost
aeration
heating.
components
were
carefully
designed
or
selected
based
theoretical
analysis
subsequently
validated
using
simulation
software,
including
EDEM
Fluent.
system
seamlessly
touch
screen
interface,
PLC
programming,
circuits
manage
air
pumps
electric
heaters
response
changes
temperature
oxygen
concentration.
Furthermore,
controls
motors
during
recovery
phase.
A
comprehensive
performance
evaluation
was
conducted,
revealing
notable
improvements.
Under
artificially
heated
conditions,
maximum
increased
by
approximately
20
°C,
cycle
reduced
roughly
4
days,
seed
germination
index
(GI)
rose
about
9%
when
compared
natural
fermentation.
Thus,
device
significantly
improves
quality
increasing
decomposition
rate.
Language: Английский