Philosophical Transactions of the Royal Society B Biological Sciences,
Год журнала:
2025,
Номер
380(1927)
Опубликована: Май 29, 2025
Despite
significant
advancements
in
agricultural
practices,
the
challenge
of
increasing
crop
yields
has
intensified
owing
to
escalating
impacts
global
climate
change.
This
article
examines
implications
for
change
adaptation
genetic
improvements
that
have
enhanced
ability
maize
crops
capture
sunlight
energy
(interception
efficiency),
convert
captured
into
biomass
(radiation-use
efficiency)
and
allocate
dry
matter
grain
production
(harvest
index),
driving
substantial
increases
over
past
five
decades.
We
focus
on
following
four
major
maize-producing
regions:
North
America,
South
continental
Europe
Northeast
China.
Our
analysis
reveals
historical
resulted
traits
confer
general
stability
against
stress,
providing
a
solid
foundation
adapting
anticipated
climatic
scenario.
While
plant
architecture,
partitioning
tolerance
biological
stress
offer
broader
range
adoptable
options,
new
breeding
efforts
will
be
essential.
These
require
adjustments
cycles
elude
development
cultivars
with
multiple,
simultaneous
stresses.
is
part
theme
issue
‘Crops
under
stress:
can
we
mitigate
agriculture
launch
‘Resilience
Revolution’?’.
Agriculture,
Год журнала:
2025,
Номер
15(3), С. 243 - 243
Опубликована: Янв. 23, 2025
Leaf
area
index
(LAI)
serves
as
a
crucial
indicator
for
characterizing
the
growth
and
development
process
of
maize.
However,
LAI
inversion
maize
based
on
unmanned
aerial
vehicles
(UAVs)
is
highly
susceptible
to
various
factors
such
weather
conditions,
light
intensity,
sensor
performance.
In
contrast
satellites,
spectral
stability
UAV-based
data
relatively
inferior,
phenomenon
“spectral
fragmentation”
prone
occur
during
large-scale
monitoring.
This
study
was
designed
solve
problem
that
UAVs
difficult
achieve
both
high
spatial
resolution
consistency.
A
two-stage
remote
sensing
fusion
method
integrating
coarse
fine
proposed.
The
SHapley
Additive
exPlanations
(SHAP)
model
introduced
investigate
contributions
20
features
in
7
categories
maize,
canopy
temperature
extracted
from
thermal
infrared
images
one
them.
Additionally,
most
suitable
feature
sampling
window
determined
through
multi-scale
experiments.
grid
search
used
optimize
hyperparameters
models
Gradient
Boosting,
XGBoost,
Random
Forest,
their
accuracy
compared.
results
showed
that,
by
utilizing
3
×
9
with
highest
contributions,
whole
stage
Forest
could
reach
R2
=
0.90
RMSE
0.38
m2/m2.
Compared
single
UAV
source
mode,
enhanced
nearly
25%.
jointing,
tasseling,
filling
stages
were
0.87,
0.86,
0.62,
respectively.
Moreover,
this
verified
significant
role
inversion,
providing
new
Plants,
Год журнала:
2025,
Номер
14(3), С. 372 - 372
Опубликована: Янв. 26, 2025
Timely
sowing
is
a
crucial
cultivation
practice
for
enhancing
crop
productivity.
In
Shandong
Province,
inadequate
supporting
techniques
are
the
primary
factors
limiting
yield
and
quality
improvement
of
high-quality
strong-gluten
wheat
(Triticum
aestivum
L.).
A
promising
strategy
achieving
synergistic
improvements
in
both
involves
matching
date
density
to
specific
ecological
conditions
each
region.
To
explore
this
approach,
we
conducted
continuous
field
experiments
at
three
testing
stations—Jining,
Dezhou,
Yantai—across
major
wheat-growing
regions
Province
from
2019
2021.
Four
dates
(T1:
October
5;
T2:
15;
T3:
25;
T4:
November
5)
seven
planting
densities
(ranging
135
×
104
plants
ha−1
405
ha−1,
denoted
as
D1–D7)
were
tested
location.
The
results
revealed
that
zone
initially
increased,
then
decreased
delayed.
Jining
high
grain
yields
typically
observed
all
under
T3,
while
Yantai
showed
optimal
T2.
Specifically,
achieved
highest
9326.6
kg
with
315
on
25
(T3D5),
Dezhou
reached
their
maximum
225
15
(T2D3),
8784.0
9366.3
respectively.
Except
compliance
rate
sites
followed
an
increasing
trend
initially,
which
declined
later
dates.
Yantai,
rates
most
frequently
T2,
T1.
conclusion,
selecting
appropriate
can
lead
across
Shandong’s
regions.
