Water,
Journal Year:
2022,
Volume and Issue:
14(22), P. 3647 - 3647
Published: Nov. 12, 2022
Crop
yield
prediction
is
critical
for
investigating
the
gap
and
potential
adaptations
to
environmental
management
factors
in
arid
regions.
models
(CMs)
are
powerful
tools
predicting
water
use,
but
they
still
have
some
limitations
uncertainties;
therefore,
combining
them
with
machine
learning
algorithms
(MLs)
could
improve
predictions
reduce
uncertainty.
To
that
end,
DSSAT-CERES-maize
model
was
calibrated
one
location
validated
others
across
Egypt
varying
agro-climatic
zones.
Following
that,
dynamic
(CERES-Maize)
used
long-term
simulation
(1990–2020)
of
maize
grain
(GY)
evapotranspiration
(ET)
under
a
wide
range
factors.
Detailed
outputs
from
three
growing
seasons
field
experiments
Egypt,
as
well
CERES-maize
outputs,
were
train
test
six
(linear
regression,
ridge
lasso
K-nearest
neighbors,
random
forest,
XGBoost),
resulting
more
than
1.5
million
simulated
scenarios.
Seven
warming
years
(i.e.,
1991,
1998,
2002,
2005,
2010,
2013,
2020)
chosen
31-year
dataset
MLs,
while
remaining
23
models.
The
Ensemble
(super
learner)
XGBoost
outperform
other
GY
ET
maize,
evidenced
by
R2
values
greater
0.82
RRMSE
less
9%.
broad
practices,
when
averaged
all
locations
31
simulation,
not
only
reduced
hazard
impact
also
increased
ET.
Moving
beyond
interpreting
Lasso
XGBoost,
using
global
local
SHAP
values,
we
found
most
important
features
maximum
temperatures,
minimum
temperature,
available
content,
soil
organic
carbon,
irrigation,
cultivars,
texture,
solar
radiation,
planting
date.
Determining
assisting
farmers
agronomists
prioritizing
such
over
order
increase
resource
efficiency
values.
combination
CMs
ML
tool
use
regions,
which
particularly
vulnerable
climate
change
scarcity.
Agronomy,
Journal Year:
2021,
Volume and Issue:
11(11), P. 2299 - 2299
Published: Nov. 13, 2021
The
productivity
of
cereal
crops
under
salt
stress
limits
sustainable
food
production
and
security.
Barley
followed
by
sorghum
better
adapts
to
salinity
stress,
while
wheat
maize
are
moderately
adapted.
However,
rice
is
a
salt-sensitive
crop,
its
growth
grain
yield
significantly
impacted
stress.
High
soil
can
reduce
water
uptake,
create
osmotic
in
plants
and,
consequently,
oxidative
Crops
have
evolved
different
tolerance
mechanisms,
particularly
cereals,
mitigate
the
stressful
conditions,
i.e.,
effluxing
excessive
sodium
(Na+)
or
compartmentalizing
Na+
vacuoles.
Likewise,
activate
an
antioxidant
defense
system
detoxify
apoplastic
cell
wall
acidification
reactive
oxygen
species
(ROS).
Understanding
response
field
including
their
resistance
help
breed
adapted
varieties
with
high
unfavourable
environmental
factors.
In
contrast,
primary
stages
seed
germination
more
critical
than
vegetative
stages.
at
reproductive
stage
also
decrease
crop
productivity.
Biotechnology
approaches
being
used
accelerate
development
salt-adapted
crops.
addition,
hormones
osmolytes
application
toxicity
impact
salts
Therefore,
we
review
on
physiology
production,
management
strategies
cope
harmful
negative
effect
Life,
Journal Year:
2022,
Volume and Issue:
12(3), P. 439 - 439
Published: March 17, 2022
The
concentration
of
greenhouse
gases
(GHGs)
in
the
atmosphere
has
been
increasing
since
beginning
industrial
revolution.
Nitrous
oxide
(N2O)
is
one
mightiest
GHGs,
and
agriculture
main
sources
N2O
emissions.
In
this
paper,
we
reviewed
mechanisms
triggering
emissions
role
agricultural
practices
their
mitigation.
amount
produced
from
soil
through
combined
processes
nitrification
denitrification
profoundly
influenced
by
temperature,
moisture,
carbon,
nitrogen
oxygen
contents.
These
factors
can
be
manipulated
to
a
significant
extent
field
management
practices,
influencing
emission.
relationships
between
occurrence
regulating
it
are
an
important
premise
for
devising
mitigation
strategies.
Here,
evaluated
various
options
literature
found
that
effectively
reduced
intervening
on
time
method
N
supply
(30–40%,
with
peaks
up
80%),
tillage
irrigation
(both
non-univocal
way),
use
amendments,
such
as
biochar
lime
(up
slow-release
fertilizers
and/or
inhibitors
50%),
plant
treatment
arbuscular
mycorrhizal
fungi
75%),
appropriate
crop
rotations
schemes
integrated
nutrient
(in
way).
conclusion,
acting
(fertilizer
type,
dose,
time,
method,
etc.)
most
straightforward
way
achieve
reductions
without
compromising
yields.
However,
tuning
rest
(tillage,
irrigation,
rotation,
principles
good
also
advisable,
fetch
abatement
vs.
risk
unexpected
rise,
which
incurred
unwary
management.
Microorganisms,
Journal Year:
2022,
Volume and Issue:
10(7), P. 1286 - 1286
Published: June 24, 2022
Among
abiotic
stresses,
heat
stress
is
described
as
one
of
the
major
limiting
factors
crop
growth
worldwide,
high
temperatures
elicit
a
series
physiological,
molecular,
and
biochemical
cascade
events
that
ultimately
result
in
reduced
yield.
There
growing
interest
among
researchers
use
beneficial
microorganisms.
Intricate
highly
complex
interactions
between
plants
microbes
alleviation
stress.
Plant–microbe
are
mediated
by
production
phytohormones,
siderophores,
gene
expression,
osmolytes,
volatile
compounds
plants.
Their
interaction
improves
antioxidant
activity
accumulation
compatible
osmolytes
such
proline,
glycine
betaine,
soluble
sugar,
trehalose,
enriches
nutrient
status
stressed
Therefore,
this
review
aims
to
discuss
response
understand
mechanisms
microbe-mediated
on
physio-molecular
basis.
This
indicates
have
great
potential
enhance
protection
from
plant
Owing
metabolic
diversity
microorganisms,
they
can
be
useful
mitigating
In
regard,
microorganisms
do
not
present
new
threats
ecological
systems.
Overall,
it
expected
continued
research
tolerance
will
enable
technology
used
an
ecofriendly
tool
for
sustainable
agronomy.
The Crop Journal,
Journal Year:
2024,
Volume and Issue:
12(2), P. 330 - 339
Published: Jan. 14, 2024
Drought
poses
a
significant
challenge,
restricting
the
productivity
of
medicinal
and
aromatic
plants.
The
strain
induced
by
drought
can
impede
vital
processes
like
respiration
photosynthesis,
affecting
various
aspects
plants'
growth
metabolism.
In
response
to
this
adversity,
plants
employ
mechanisms
such
as
morphological
structural
adjustments,
modulation
drought-resistant
genes,
augmented
synthesis
secondary
metabolites
osmotic
regulatory
substances
alleviate
stress.
Extreme
water
scarcity
lead
leaf
wilting
may
ultimately
result
in
plant
death.
cultivation
management
under
stress
conditions
often
differ
from
those
other
crops.
This
is
because
main
goal
with
not
only
increase
yield
above-ground
parts
but
also
enhance
production
active
ingredients
essential
oils.
To
elucidate
these
resistance
plants,
current
review
provides
summary
recent
literature
encompassing
studies
on
morphology,
physiology,
biochemistry
conditions.
Plants,
Journal Year:
2021,
Volume and Issue:
10(6), P. 1040 - 1040
Published: May 21, 2021
Selenium
(Se)
and
silicon
(Si)
are
considered
advantageous
elements
to
induce
plants’
tolerance
various
environmental
stresses.
Wheat
yield
is
negatively
affected
by
salinity
stress,
especially
in
dry
semi-dry
areas.
Therefore,
the
objective
of
current
study
was
investigate
effects
Se,
Si
their
combinations
(0
as
control,
Se15,
Se30,
Si15,
Si30,
Se15
+
Se30
Si30
mM)
alleviating
deleterious
stress
(7.61
dS
m−1,
real
field
conditions)
on
anatomical
characteristics
well
physio-biochemical
productivity
parameters
wheat
plants.
The
selenium
treatments
caused
significant
amelioration
growth,
physiological
attributes,
grain
yields
salinity-stressed
comparison
with
untreated
plants
(control
treatment).
integrated
application
significantly
increased
plant
growth
(i.e.,
height
28.24%,
number
tillers
m−2
76.81%,
fresh
weight
plant−1
80.66%,
79.65%),
Fv/Fm
(44.78%),
performance
index
(PI;
60.45%),
membrane
stability
(MSI;
36.39%),
relative
water
content
(RWC;
29.39%),
total
soluble
sugars
(TSS;
53.38%),
proline
(33.74%),
enzymatic
antioxidants
CAT
activity
14.45%,
GR
67.5%,
SOD
35.37%
APX
39.25%)
non-enzymatic
GSH
117.5%,
AsA
52.32%),
its
components
spikelets
spike−1
29.55%,
1000-grain
48.73%
ha−1
26.44%).
traits
stem
leaves
were
improved
treated
Si30.
These
changes
resulting
from
exogenous
applications
or
combinations,
turn,
make
these
prospective
helping
acclimate
successfully
saline
soil.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: March 3, 2023
Abstract
Globally,
climate
change
greatly
impacts
the
production
of
major
crops,
and
there
have
been
many
attempts
to
model
future
yields
under
warming
scenarios
in
recent
years.
However,
projections
may
not
be
generalisable
all
crop
growing
regions,
particularly
those
with
diverse
topography
bioclimates.
In
this
study,
we
demonstrate
by
evaluating
links
between
changes
temperature
precipitation
wheat,
barley,
potato
at
county-level
during
1980–2019
Norway,
a
Nordic
country
range
climates
across
relatively
small
spatial
scale.
The
results
show
that
variables
on
yield
vary
widely
county,
for
some
strength
direction
link
depends
underlying
local
bioclimate.
addition,
our
analysis
demonstrates
need
counties
focus
weather
specific
crucial
months
corresponding
certain
growth
stages.
Furthermore,
due
climatic
conditions
varying
projected
changes,
different
opportunities
are
likely
occur
each
county.
Environmental Research Communications,
Journal Year:
2024,
Volume and Issue:
6(4), P. 041005 - 041005
Published: Feb. 26, 2024
Abstract
Estimating
smallholder
crop
yields
robustly
and
timely
is
crucial
for
improving
agronomic
practices,
determining
yield
gaps,
guiding
investment,
policymaking
to
ensure
food
security.
However,
there
poor
estimation
of
most
smallholders
due
lack
technology,
field
scale
data,
particularly
in
Egypt.
Automated
machine
learning
(AutoML)
can
be
used
automate
the
workflow,
including
automatic
training
optimization
multiple
models
within
a
user-specified
time
frame,
but
it
has
less
attention
so
far.
Here,
we
combined
extensive
survey
across
wheat
cultivated
area
Egypt
with
diverse
dataset
remote
sensing,
soil,
weather
predict
field-level
using
22
Ml
AutoML.
The
showed
robust
accuracies
predictions,
recording
Willmott
degree
agreement,
(d
>
0.80)
higher
accuracy
when
super
learner
(stacked
ensemble)
was
(R
2
=
0.51,
d
0.82).
trained
AutoML
deployed
sensing
(RS)
vegetative
indices
(VIs),
demonstrating
good
correlation
actual
0.7).
This
very
important
since
considered
low-cost
tool
could
explore
early
predictions.
Since
climate
change
negative
impacts
on
agricultural
production
security
some
uncertainties,
under
recent
scenarios
from
Coupled
Model
Intercomparison
Project
Phase
6
(CMIP6).
These
included
single
downscaled
General
Circulation
(GCM)
as
CanESM5
two
shared
socioeconomic
pathways
(SSPs)
SSP2-4.5and
SSP5-8.5during
mid-term
period
(2050).
stacked
ensemble
model
displayed
declines
21%
5%
SSP5-8.5
SSP2-4.5
respectively
during
mid-century,
uncertainty
highest
emission
scenario
(SSP5-8.5).
developed
approach
rapid,
accurate
method
stakeholder
farms
all
over
world
where
ground
data
scarce.
Notulae Botanicae Horti Agrobotanici Cluj-Napoca,
Journal Year:
2024,
Volume and Issue:
52(1), P. 13471 - 13471
Published: Feb. 14, 2024
Currently,
more
than
half
of
the
global
nations
cultivating
wheat
crops
are
facing
severe
consequences
climate
change
and
its
associated
heat
stress
in
terms
quantitative
qualitative
yield
losses.
Plants
exposed
to
need
a
balanced
adequate
amount
mineral
nutrients
counter
ill
effects.
Therefore,
present
study
was
designed
investigate
potential
effects
applied
during
vegetative
growth
period
(Zadoks
scale:
ZGS
5-60)
on
physiological
phenotypic
traits
(Triticum
aestivum)
crop
subjected
variable
rates
nitrogen
(N).
In
this
experiment,
plants
cv.
‘Punjab-2011’
were
two
levels
temperature
i.e.
(HS)
control
or
non-heat
(NHS),
three
N
(N50
=
50
kg
ha-1,
N100=
100
ha-1
N150
150
ha-1).
The
experiment
executed
under
controlled
conditions
completely
randomized
design
(CRD)
with
six
replications.
One
set
eighteen
pots
containing
seedlings
placed
compartment
greenhouse
heat-stressed
conditions,
while
another
non-heated
conditions.
compartments
equipped
heating
cooling
system
maintain
desired
ecological
Pots
heated
chamber
kept
for
60
days
from
emergence
(ZGS
5-60),
then
shifted
till
harvesting.
treatment
almost
2
±
0.47
°C
higher
treatment.
results
indicated
that
HS
significantly
reduced
photosynthetic
rate
by
42.52%,
leaf
efficiency
56.82%,
chlorophyll
scores
20.11%,
relative
water
contents
(RWC)
12.81%,
tillers
48.21%,
grain
weight
21.47%
68.20%
NHS
These
reductions
prominent
limited
dose
(50
Furthermore,
also
revealed
transpiration
rate,
stomatal
conductance,
membrane
ruptures
N50
However,
compensated
detrimental
improving
efficiencies,
RWC,
stability
pigments,
tillers,
weight,
wheat.
Additionally,
negatively
correlated
internal
CO2
concentration,
leakage.
conclusion,
high
temperatures
could
alleviate
magnitude
penalties
enhance
withstand
heat-induced