Agronomy,
Journal Year:
2025,
Volume and Issue:
15(4), P. 902 - 902
Published: April 4, 2025
While
forage
grasses
in
southern
China
exhibit
yield
and
nutritional
advantages,
the
impact
of
nutrient
solutions
on
alfalfa
(Medicago
sativa
BC4)
growth
elemental
accumulation
remains
understudied.
We
conducted
a
pot-based
controlled
substrate
cultivation
trial
using
nitrogen-poor
to
compare
four
treatments:
MS,
Hoagland,
B5
solutions,
RO
water
(control).
From
V1
R1
stages,
plant
height
was
monitored
continuously,
with
leaf
dimensions
soluble
proteins
(Bradford
method)
measured
at
R1.
ICP-MS
quantified
macro
elements
(Na+,
K+,
Mg2+)
microelements
(Cu2+,
Fe2+,
Mn2+,
Zn2+).
The
rates
followed
order:
MS
>
Hoagland
B5.
Both
significantly
increased
length
stage
(p
<
0.001
vs
control),
showing
greatest
expansion.
protein
content
decreased
all
groups
0.05)
except
MS-treated
plants.
An
analysis
revealed
treatment-specific
patterns,
most
notably
1.17-fold
higher
Fe
1.48-fold
Mn
group
versus
control
0.001).
Magnesium
levels
showed
no
significant
differences
among
treatments.
These
results
demonstrate
solution’s
superior
efficacy
enhancing
parameters
(height
size)
while
maintaining
promoting
Fe/Mn
accumulation.
findings
provide
empirical
evidence
for
optimizing
nitrogen-deficient
soil-based
mix
through
solution
selection.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: April 30, 2024
Abstract
Soil
temperatures
at
both
surface
and
various
depths
are
important
in
changing
environments
to
understand
the
biological,
chemical,
physical
properties
of
soil.
This
is
essential
reaching
food
sustainability.
However,
most
developing
regions
across
globe
face
difficulty
establishing
solid
data
measurements
records
due
poor
instrumentation
many
other
unavoidable
reasons
such
as
natural
disasters
like
droughts,
floods,
cyclones.
Therefore,
an
accurate
prediction
model
would
fix
these
difficulties.
Uzbekistan
one
countries
that
concerned
about
climate
change
its
arid
climate.
for
first
time,
this
research
presents
integrated
predict
soil
temperature
levels
10
cm
depth
based
on
climatic
factors
Nukus,
Uzbekistan.
Eight
machine
learning
models
were
trained
order
best-performing
widely
used
performance
indicators.
Long
Short-Term
Memory
(LSTM)
performed
predictions
depth.
More
importantly,
developed
here
can
with
measured
predicted
levels.
The
without
any
ground
measurements.
be
effectively
planning
applications
sustainability
production
areas
Frontiers in Plant Science,
Journal Year:
2022,
Volume and Issue:
13
Published: March 23, 2022
Wood
formation
has
received
considerable
attention
across
various
research
fields
as
a
key
process
to
model.
Historical
and
contemporary
models
of
wood
from
disciplines
have
encapsulated
hypotheses
such
the
influence
external
(e.g.,
climatic)
or
internal
hormonal)
factors
on
successive
stages
cell
differentiation.
This
review
covers
17
three
different
disciplines,
earliest
1968
latest
2020.
The
described
processes,
well
their
drivers
level
complexity,
are
discussed.
work
is
first
systematic
cataloging,
characterization,
process-focused
models.
Remaining
open
questions
concerning
processes
identified,
relate
to:
(1)
extent
hormonal
final
tree
ring
structure;
(2)
mechanism
underlying
transition
earlywood
latewood
in
extratropical
regions;
(3)
which
carbon
plays
role
"active"
driver
"passive"
substrate
for
growth.
We
conclude
by
arguing
that
remain
be
fully
exploited,
with
potential
contribute
studies
individual
sequestration-storage
dynamics
regional
global
sequestration
terrestrial
vegetation
Agronomy,
Journal Year:
2024,
Volume and Issue:
14(3), P. 517 - 517
Published: March 2, 2024
Although
plant
characterization
under
the
International
Potato
Center’s
(CIP’s)
aeroponic
system
requires
many
morpho-physiological
parameters
to
evaluate
a
cultivar,
there
is
no
method
best
or
most
suitable
cultivation
time.
Thus,
several
were
compared
modified
system,
using
different
statistical
tools,
determine
and
efficient
time
characterize
seed-potato
plants.
We
evaluated
21
for
cv.
Agata
randomized
complete
block
design
with
weekly
harvests
9
weeks.
The
growth
selected
based
on
multivariate
approaches
involving
correlation
plots,
similarity
clusters
(dendrograms),
principal
component
analysis.
seed
potato
as
follows,
in
order
of
importance:
main
stem
diameter,
leaf
number,
length
fourth
leaf,
area,
number
mini-tubers,
mini-tuber
fresh
weight,
root
dry
total
weight.
days
after
transplanting
(DAT)
significantly
affected
parameters,
45
DAT
being
estimate
yield,
data
bi-weekly
reliable
harvests.
Our
results,
applied
either
CIP
our
aeroponics
method,
will
be
valuable
streamlining
other
cultivars
used
by
certified
producers.
Plant Stress,
Journal Year:
2023,
Volume and Issue:
10, P. 100226 - 100226
Published: Sept. 16, 2023
The
phenomenon
of
global
warming
results
in
a
significant
rise
temperature
which
adversely
affects
the
growth,
physiology,
and
yield
rice.
In
order
to
gain
insight
into
impacts
booting
heat
stress
(at
42°C,
3
h
for
7
days),
we
investigated
its
effect
three
rice
genotypes,
namely,
N22,
KDML105
IR64.
Booting
caused
an
extended
phenology
lower
photosynthesis
plant
growth
rate
but
increase
chalkiness.
Although,
prolonged
from
dough
physiological
maturity
resulted
longer
duration
grain
filling,
adverse
effects
this
were
significantly
component,
harvest
index
across
all
varieties
Among
cultivars,
N22
demonstrated
adapted
ability
maintain
leaf
gas
exchange
compensated
vegetative
part
by
tiller
numbers
resulting
less
affected
rate.
It
filling
prolonging
phenology.
Consequence,
had
lowest
reduction
number
seed
panicle−1,
filled
seeds
hill−1,
yield,
index,
percentage
was
maintaining
exchange,
increasing
specific
area
longest
high
during
associated
with
moderate
Nonetheless,
IR64
reductions
photosynthesis,
rate,
highest
Therefore,
response
could
be
indicated
as
being
tolerant,
moderately
sensitive,
respectively.
This
approach
can
applied
crop
modelling
tolerance
breeding
programs.
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(3), P. 896 - 896
Published: Jan. 22, 2025
The
intensification
of
global
climate
change
and
industrialization
has
exacerbated
abiotic
stresses
on
crops,
particularly
rice,
posing
significant
threats
to
food
security
human
health.
mechanisms
by
which
rice
responds
these
are
complex
interrelated.
This
review
aims
provide
a
comprehensive
understanding
the
molecular
underlying
rice’s
response
various
stresses,
including
drought,
salinity,
extreme
temperatures,
heavy
metal
pollution.
We
emphasize
structural
roles
key
proteins
involved
in
stress
responses,
such
as
SLAC1
QUAC1
stomatal
regulation,
HKT
SOS
salinity
stress,
heat
shock
(HSPs)
transcription
factors
(HSFs)
temperature
Nramp
ZIP
transport
stress.
elucidates
networks
highlighting
their
related
mechanisms,
may
further
help
improve
strategies
breeding.
Antioxidants,
Journal Year:
2025,
Volume and Issue:
14(2), P. 140 - 140
Published: Jan. 24, 2025
Rising
global
food
demand
necessitates
improved
crop
yields.
Biostimulants
offer
a
potential
solution
to
meet
these
demands.
Among
them,
antioxidants
have
shown
improve
yield,
nutritional
quality,
and
resilience
climate
change.
However,
large-scale
production
of
many
is
challenging.
Here,
we
investigate
Coenzyme
M
(CoM),
small,
achiral
antioxidant
from
archaea,
as
biostimulant,
investigating
its
effects
on
growth
physiology.
CoM
significantly
increased
shoot
mass
root
length
the
model
plant,
Arabidopsis
thaliana,
in
concentration-dependent
manner.
Sulfur-containing
supplementation
restored
under
sulfur-limited
conditions
Arabidopsis,
whereas
similar
recovery
was
not
observed
for
other
macronutrient
deficiencies,
consistent
with
it
being
metabolized.
In
tobacco,
photosynthetic
light
capture
capacity,
improvements.
Interestingly,
this
effect
independent
carbon
rates.
Furthermore,
promoted
early-stage
various
crops
species,
including
basil,
cannabis,
soybean.
Our
results
suggest
promising,
scalable
biostimulant
modify
photosynthesis
enhance
productivity.
