Development of a Drought Monitoring System for Winter Wheat in the Huang-Huai-Hai Region, China, Utilizing a Machine Learning–Physical Process Hybrid Model
Qianchuan Mi,
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Zhiguo Huo,
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Meixuan Li
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et al.
Agronomy,
Journal Year:
2025,
Volume and Issue:
15(3), P. 696 - 696
Published: March 13, 2025
Droughts,
intensified
by
climate
change
and
human
activities,
pose
a
significant
threat
to
winter
wheat
cultivation
in
the
Huang-Huai-Hai
(HHH)
region.
Soil
moisture
drought
indices
are
crucial
for
monitoring
agricultural
droughts,
while
challenges
such
as
data
accessibility
soil
heterogeneous
necessitate
use
of
numerical
simulations
their
effective
regional-scale
applications.
The
existing
simulation
methods
like
physical
process
models
machine
learning
(ML)
algorithms
have
limitations:
struggle
with
parameter
acquisition
at
regional
scales,
ML
face
difficulties
settings
due
presence
crops.
As
more
advanced
complex
branch
ML,
deep
even
greater
limitations
related
crop
growth
management.
To
address
these
challenges,
this
study
proposed
novel
hybrid
system
that
merged
model.
Initially,
we
employed
Random
Forest
(RF)
regression
model
integrated
multi-source
environmental
factors
estimate
prior
sowing
wheat,
achieving
an
average
coefficient
determination
(R2)
0.8618,
root
mean
square
error
(RMSE)
0.0182
m3
m−3,
absolute
(MAE)
0.0148
m−3
across
eight
depths.
RF
provided
vital
parameters
operation
Water
Balance
Winter
Wheat
(WBWW)
scale,
enabling
assessments
combined
Moisture
Anomaly
Percentage
Index
(SMAPI).
Subsequent
comparative
analyses
between
system-generated
results
actual
disaster
records
during
two
events
highlighted
its
efficacy.
Finally,
utilized
examine
spatiotemporal
variations
patterns
HHH
region
over
past
decades.
findings
revealed
overall
intensification
conditions
decline
SMAPI
rate
−0.021%
per
year.
Concurrently,
there
has
been
shift
patterns,
characterized
increase
both
frequency
extremity
events,
duration
intensity
individual
decreased
majority
Additionally,
identified
northeastern,
western,
southern
areas
requiring
concentrated
attention
targeted
intervention
strategies.
These
efforts
signify
notable
application
fusion
techniques
integration
within
big
context,
thereby
facilitating
prevention,
management,
mitigation
Language: Английский
Optimization strategies to improve the carbon sink capacity of C3 plants under the background of dual carbon strategy
Plant Physiology and Biochemistry,
Journal Year:
2025,
Volume and Issue:
unknown, P. 109837 - 109837
Published: March 1, 2025
Language: Английский
Biochar and Mulch: Hydrologic, Erosive, and Phytotoxic Responses Across Different Application Strategies and Agricultural Soils
João Nuno Gomes Vicente Canedo,
No information about this author
L.H.L. Coelho,
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Luiz de Paula Castro
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et al.
Agronomy,
Journal Year:
2025,
Volume and Issue:
15(4), P. 926 - 926
Published: April 10, 2025
Agricultural
intensification
often
contributes
to
soil
degradation.
Mulch
and
biochar
help
reduce
erosion
runoff
while
improving
organic
matter
crop
habitat.
However,
optimal
application
strategies
the
combined
advantages
of
mulch
remain
underexplored.
This
study
aimed
evaluate
how
affect
hydrology,
erosion,
phytotoxicity,
under
mixed
layered
strategies:
(i)
mix
(2.8%
by
weight);
(ii)
layer
(surface
10
Mg
ha−1);
(iii)
(2
ha−1
straw
mulch);
(iv)
+
(a
2
on
top
a
ha−1).
Thirty-minute
rainfall
simulations
(at
85.6
mm
h−1)
sandy
loam
soils
vineyard
olive
orchard
tested
treatment
effects
hydrology
erosion.
The
leachate
collected
from
was
used
test
treatments
using
Lactuca
sativa
L.
Runoff
interrill
decreased
52–91%
55–81%,
respectively,
with
greatest
reductions
in
that
included
layer.
Biochar
increased
root
length
(29–45%),
had
no
significant
effect.
performed
best,
highlighting
products’
complementary
benefits
reducing
degradation
Language: Английский
Progress and Trends in Coupled Model Intercomparison Project (CMIP) Research: A Bibliometric Analysis
Yufeng Ju,
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Nasrin Azad,
No information about this author
Weiting Ding
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et al.
Agriculture,
Journal Year:
2025,
Volume and Issue:
15(8), P. 826 - 826
Published: April 10, 2025
Understanding
of
the
Coupled
Model
Intercomparison
Project
(CMIP)
and
its
research
progress
applications
is
critical
to
answer
scientific
questions
related
climate
change.
While
numerous
papers
based
on
CMIP
have
been
published,
there
no
quantitative
study
examining
variability,
predictability,
change
supported
by
CMIP.
Therefore,
statistical
characteristics
CMIP-related
publications,
including
journals,
disciplines,
co-occurrence
burst
detection
keywords,
bibliographic
coupling,
were
analyzed
using
bibliometric
analysis.
The
results
show
that
has
increased
exponentially
from
2000
2023.
About
20%
was
published
in
Journal
Climate
Dynamics.
spanned
several
meteorology,
atmospheric
science,
geosciences,
environmental
sciences.
United
States,
China,
Kingdom
ranked
top
three
for
publications.
prominent
focus
involved
whole
system,
behavior,
carbon
cycle,
sea
surface
temperature,
ice,
modeling,
bias
correction,
simulations,
sensitivity,
extreme
events,
soil
moisture,
hydrology,
future
This
can
help
relevant
scientists
better
understand
developments
trends
research,
thereby
facilitating
use
data.
Language: Английский
Enhancing Climate Resilience and Food Security in Greece Through Agricultural Biodiversity
Land,
Journal Year:
2025,
Volume and Issue:
14(4), P. 838 - 838
Published: April 11, 2025
This
study
examined
how
agricultural
biodiversity
can
build
climate
change
resilience
and
food
security
in
Greece.
The
aims
of
this
were
to
identify
examine
the
role
genetic,
species,
ecosystem,
functional
diversity
enhancing
against
volatility.
Data
collected
from
384
specialists
Greece
using
a
quantitative,
cross-sectional
survey
technique.
self-administered
questionnaire
elicited
information
on
perceived
effectiveness
different
types
sustaining
yield
stability
for
crops,
pest
disease
control,
soil
conservation,
nutrient
cycling.
hypotheses
tested
descriptive
statistics
multiple
regression
analysis.
findings
revealed
that
genetic
decreases
crop
risks,
species
lowers
vulnerability,
ecosystem
impacts
water
optimize
cycling
services.
analysis
was
able
explain
62.1%
variability
resilience,
underlining
importance
conservation
biological
provision
food.
points
need
bio-diversity
management
agriculture
address
support
productivity
production.
Language: Английский
Phenological Development, Thermal Requirement, and Quality of ‘BRS Núbia’ (Vitis vinifera L. x Vitis labrusca L.) Grapes on Different Rootstocks
Horticulturae,
Journal Year:
2025,
Volume and Issue:
11(5), P. 466 - 466
Published: April 26, 2025
The
cultivation
of
table
grapes
in
Brazil
is
economically
significant,
with
production
influenced
by
edaphoclimatic
factors
and
rootstock
selection.
cultivar
‘BRS
Núbia’
(Vitis
vinifera
L.
x
Vitis
labrusca
L.)
a
promising
alternative;
however,
its
phenological
behavior,
thermal
requirements,
compatibility
different
rootstocks
under
subtropical
conditions
require
further
evaluation.
This
study
aimed
to
assess
the
duration
stages,
requirement,
ripening
dynamics
grapevines
grafted
onto
‘IAC
572
Jales’,
766
Campinas’,
‘Paulsen
1103’.
experiment
was
conducted
São
Manuel,
Paulo,
during
2021
2022
cycles
using
split-plot
experimental
design
(3
×
2).
Evaluations
included
stages
from
pruning
budburst,
flowering,
fruit
set,
onset
ripening,
harvest,
as
well
curve
accumulation
harvest.
Rootstocks
did
not
significantly
affect
(p
>
0.05)
stages;
differences
were
observed
between
cycles.
cycle
longer
(167.7
days)
compared
(142.6
days),
greater
(1871.7
GDDs
vs.
1743.4
GDDs).
analysis
revealed
that,
across
both
evaluated,
required
an
average
1807.5
growing
degree
days
Soluble
solids
content
ranged
17.43
18.50°Brix,
titratable
acidity
decreased
throughout
maturation.
maturation
index
highest
vines
1103’,
indicating
positive
influence
on
quality.
grapevine
exhibited
mean
requirement
(GDDs)
complete
cycle,
which
lasted
approximately
150
conditions.
Language: Английский
Optimising Nutrition for Sustainable Pig Production: Strategies to Quantify and Mitigate Environmental Impact
Animals,
Journal Year:
2025,
Volume and Issue:
15(10), P. 1403 - 1403
Published: May 13, 2025
The
intensifying
global
demand
for
food
presents
significant
challenges
sustainable
pig
production,
particularly
in
the
context
of
escalating
input
costs,
environmental
degradation,
and
resource
scarcity.
Life
cycle
assessment
provides
a
comprehensive
framework
quantifying
impacts
identifying
production
hotspots
within
systems.
Feed
manure
management
are
consistently
identified
as
major
contributors,
emphasising
need
targeted
interventions.
Although
soybean
meal
remains
key
protein
source,
its
association
with
deforestation
biodiversity
loss
is
driving
an
interest
more
alternatives.
In
temperate
climates,
faba
beans
offer
promising,
locally
sourced
option,
though
their
wider
adoption
limited
by
amino
acid
imbalances
anti-nutritional
factors.
Grain
preservation
another
critical
consideration,
post-harvest
losses
fungal
contamination
compromise
feed
quality
animal
health.
Organic
has
emerged
energy-efficient,
cost-effective
alternative
to
industrial
drying,
improving
storage
stability
reducing
fossil
fuel
dependence.
Additional
nutritional
strategies,
including
dietary
crude
reduction,
carbohydrate
source
modification,
additive
inclusion,
maternal
interventions,
can
enhance
nutrient
utilisation,
intestinal
health,
herd
resilience
while
mitigating
impact.
This
review
explores
practical
feed-based
strategies
support
sustainable,
resilient,
resource-efficient
contribute
security.
Language: Английский