A
soja
é
uma
importante
oleaginosa
em
todo
o
mundo
e
apresenta
sensibilidade
ao
deficit
hídrico,
especialmente
na
fase
inicial
de
desenvolvimento.
Por
isso,
avaliar
diferentes
estratégias
buscando
selecionar
cultivares
no
início
do
desenvolvimento
extremamente
necessário.
Nesse
sentido,
são
objetivos
deste
estudo:
i)
tolerantes
hídrico
utilizando
os
índices
seleção
FAI-BLUP
(Factor
analysis
and
ideotype-
design
-
Best
Linear
Unbiased
Prediction)
MGIDI
(multi-trait
genotype–ideotype
distance
index),
além
indicar
desenvolvimento;
ii)
predizer
conteúdo
água
nas
folhas
classificá-las
quanto
a
condição
hídrica,
por
meio
dados
espectroscopia
NIR
(near
infrared)
modelos
machine
learning.
Dois
experimentos
foram
avaliados
envolvendo
duas
formas
imposição
estresse
(em
solo
areia)
dois
estádios
(germinação
V1)
repetidos
épocas.
Os
envolveram
100
soja,
as
quais
submetidas
condições
disponibilidade
hídrica
(condição
controle
estresse).
Em
ambos
experimentos,
permaneceu
20
dias.
possibilitaram
15
soja.
Foram
selecionadas
12
comuns
aos
índices.
As
M
9144
RR,
BMX
TITAN
RR
que
mais
se
aproximaram
ideótipo.
relação
learning,
todos
quatro
utilizados
apresentaram
boas
performances
realizar
tarefas
classificação
regressão.
PLS
(Partial
Least
Squares)
SVM
(Support
Vector
Machine)
melhores
resultados
para
classificar
à
hídrica.
Já
tarefa
regressão,
PCR
(principal
component
regression)
desempenhos.
Palavras-chave:
Índices
seleção.
Machine
Espectroscopia
NIR.
Seca.
Plants,
Journal Year:
2022,
Volume and Issue:
11(17), P. 2282 - 2282
Published: Aug. 31, 2022
Drought
affects
crop
developmentnand
growth.
To
explore
the
physiological
effects
of
drought
stress
on
soybean,
HeiNong44
(HN44)
and
HeiNong65
(HN65)
varieties
were
used
as
experimental
materials
PEG-6000
was
osmotic
medium.
The
antioxidant
enzyme
activity,
adjustment
substance
content,
capacity,
endogenous
hormone
content
two
soybean
studied
under
different
degrees
treatment
durations.
caused
significant
changes
in
soybean.
activities,
osmoregulation
total
capacity
(T-AOC)
HN65
HN44
showed
an
increasing
trend
mild
moderate
drought,
however,
they
first
increased
then
decreased
severe
conditions.
Following
extension
time,
malondialdehyde
(MDA)
trend.
As
increased,
gibberellin
(GA)
a
decreasing
trend,
while
abscisic
acid
(ABA),
salicylic
(SA),
zeatin
nucleoside
(ZA)
auxin
(IAA)
opposite
change
trends.
In
short,
had
impact
physiology
these
varieties;
overall,
resistance
lower
than
that
HN44.
This
study
provides
research
theoretical
basis
for
addressing
mechanism
breeding
resistant
varieties.
Physiologia Plantarum,
Journal Year:
2024,
Volume and Issue:
176(3)
Published: May 1, 2024
Abstract
Amino
acids
play
important
roles
in
stress
resistance,
plant
growth,
development,
and
quality,
with
roots
serving
as
the
primary
organs
for
drought
response.
We
conducted
biochemical
multi‐omics
analyses
to
investigate
metabolic
processes
of
root
amino
drought‐resistant
(HN44)
drought‐sensitive
(HN65)
soybean
(
Glycine
max
)
varieties.
Our
analysis
revealed
an
increase
total
acid
content
both
varieties,
phenylalanine,
proline,
methionine
accumulating
both.
Additionally,
several
exhibited
significant
decreases
HN65
but
slight
increases
HN44.
Multi‐omics
association
identified
13
acid‐related
pathways.
thoroughly
examined
changes
genes
metabolites
involved
various
metabolism/synthesis
determined
core
through
correlation
networks.
The
tyrosine,
tryptophan
pathways
glutamic
sulfur‐containing
were
particularly
resistance.
Some
candidate
genes,
such
ProDH
P4HA
family
metabolites,
O
‐acetyl‐L‐serine,
directly
affected
up‐
downstream
metabolism
induce
This
study
provided
a
basis
resistance
breeding.
Frontiers in Plant Science,
Journal Year:
2023,
Volume and Issue:
14
Published: May 8, 2023
Soybean
is
the
world's
most
important
cultivated
crop,
and
drought
can
affect
their
growth
and,
eventually,
yields.
Foliar
application
of
mepiquat
chloride
(MC)
potentially
alleviate
damage
caused
by
stress
in
plants;
however,
mechanism
MC
regulation
soybean
response
has
not
been
studied.
This
study
investigated
two
varieties
soybean,
sensitive
Heinong
65
(HN65)
drought-tolerant
Heinong44
(HN44),
under
three
treatment
scenarios,
normal,
stress,
+
conditions.
promoted
dry
matter
accumulation
reduced
plant
height,
decreased
antioxidant
enzyme
activity,
significantly
malondialdehyde
content.
The
light
capture
processes,
photosystems
I
II,
were
inhibited;
upregulation
several
amino
acids
flavonoids
was
observed.
Multi-omics
joint
analysis
indicated
2-oxocarboxylic
acid
metabolism
isoflavone
biosynthetic
pathways
to
be
core
which
regulated
response.
Candidate
genes
such
as
LOC100816177,
SOMT-2,
LOC100784120,
LOC100797504,
LOC100794610,
LOC100819853
identified
crucial
for
resistance
soybeans.
Finally,
a
model
constructed
systematically
describe
regulatory
stress.
fills
research
gap
field
resistance.
Plants,
Journal Year:
2025,
Volume and Issue:
14(5), P. 671 - 671
Published: Feb. 21, 2025
Soybean
is
a
vital
crop
globally
and
key
source
of
food,
feed,
biofuel.
With
advancements
in
high-throughput
technologies,
soybeans
have
become
target
for
genetic
improvement.
This
comprehensive
review
explores
advances
multi-omics,
artificial
intelligence,
economic
sustainability
to
enhance
soybean
resilience
productivity.
Genomics
revolution,
including
marker-assisted
selection
(MAS),
genomic
(GS),
genome-wide
association
studies
(GWAS),
QTL
mapping,
GBS,
CRISPR-Cas9,
metagenomics,
metabolomics
boosted
the
growth
development
by
creating
stress-resilient
varieties.
The
intelligence
(AI)
machine
learning
approaches
are
improving
trait
discovery
associated
with
nutritional
quality,
stresses,
adaptation
soybeans.
Additionally,
AI-driven
technologies
like
IoT-based
disease
detection
deep
revolutionizing
monitoring,
early
identification,
yield
prediction,
prevention,
precision
farming.
viability
environmental
soybean-derived
biofuels
critically
evaluated,
focusing
on
trade-offs
policy
implications.
Finally,
potential
impact
climate
change
productivity
explored
through
predictive
modeling
adaptive
strategies.
Thus,
this
study
highlights
transformative
multidisciplinary
advancing
global
utility.
Plants,
Journal Year:
2025,
Volume and Issue:
14(5), P. 751 - 751
Published: March 1, 2025
Drought
stress
threatens
agriculture
and
food
security,
significantly
impacting
soybean
yield
physiology.
Despite
the
documented
role
of
nanosilica
(n-SiO2)
in
enhancing
crop
resilience,
its
full
growth-cycle
effects
on
soybeans
under
drought
remain
elusive.
This
study
aimed
to
evaluate
efficacy
n-SiO2
at
a
concentration
100
mg
kg−1
soil
medium
for
tolerance
through
life-cycle
assessment
greenhouse
setup.
To
elucidate
mechanisms
action,
key
physiological,
biochemical,
parameters
were
systematically
measured.
The
results
demonstrated
that
increased
silicon
content
shoots
roots,
restored
osmotic
balance
by
reducing
Na+/K+
ratio
40%,
alleviated
proline
accumulation
35%
compared
control,
thereby
mitigating
stress.
Enzyme
activities
related
nitrogen
metabolism,
including
nitrate
reductase
(NR)
glutamine
synthetase
(GS),
improved
25–30%
treatment
control.
Additionally,
antioxidant
activity,
superoxide
dismutase
(SOD)
levels,
15%,
while
oxidative
markers
such
as
hydrogen
peroxide
(H2O2)
malondialdehyde
(MDA)
decreased
20–25%
Furthermore,
components
enhanced,
with
pod
number
grain
weight
increasing
15%
20%,
respectively,
untreated
plants
conditions.
These
findings
suggest
effectively
enhances
resilience
reinforcing
physiological
metabolic
processes
critical
growth
yield.
underscores
potential
sustainable
amendment
support
productivity
drought-prone
environments,
contributing
more
resilient
agricultural
systems
amidst
climate
variability.
Future
research
should
focus
conducting
large-scale
field
trials
effectiveness
cost-efficiency
applications
diverse
environmental
conditions
assess
practical
viability
agriculture.
Open Agriculture,
Journal Year:
2025,
Volume and Issue:
10(1)
Published: Jan. 1, 2025
Abstract
This
dynamic
system
simulation
model
was
designed
to
describe
Indonesia’s
soybean
availability
system’s
structure.
Methodologically,
this
the
first
application
combine
production
subsystem,
demand
and
import
subsystem
in
one
model.
study
provides
an
overview
of
current
future
conditions
system.
Readers
will
know
how
next
20
years
be
state
level,
demand,
imports,
self-sufficiency
ratio
(SSR),
dependency
(IDR)
commodities
Indonesia.
The
forecast
results
were
significant
because
it
concerned
with
soybeans
future.
If
situation
is
not
known,
then
impossible
anticipatory
steps
that
need
prepared
early.
driving
factor
lies
productivity
size
crop
area.
number
imports
shortage,
while
depends
on
population
growth.
showed
increase
area
have
impact
posture
structure
changes
occurred
a
shift
SSR
value
higher
IDR
lower.
Finally,
article
presents
various
policy
simulations
based
measurable
rational
targets
stakeholders
can
use.
Agronomy,
Journal Year:
2024,
Volume and Issue:
14(6), P. 1188 - 1188
Published: May 31, 2024
The
performance
of
a
soybean
genotype
under
water
deficit
stress
at
an
early
vegetative
stage
might
be
related
to
its
general
tolerance
drought.
To
investigate
the
plasticity
root
and
shoot
seedling
traits
in
response
drought
stage,
set
32
genotypes
adapted
southeast
European
growing
conditions
was
grown
polyethylene
glycol
(PEG)
8000-induced
well-watered
control
conditions.
Under
drought,
mean
tap
length
(RL),
(SL),
fresh
weight
(RFW)
(SFW)
decreased
significantly
by
11,
17,
38
34%,
respectively,
while
dry
matter
(RDM)
(SDM)
increased
13
11%,
respectively.
Of
four
derived
traits,
ratios
RL/SL,
RL/RFW
SL/SFW
8,
45
28%,
ratio
RFW/SFW
4%.
However,
wide
variation
between
observed
for
all
10
studied
both
Broad
sense
heritability
ranged
from
0.53
(RL)
0.97
(SL)
0.56
(RL/RFW)
0.96
correlation
coefficients
were
either
weak
or
moderate,
indicating
that
can
modified
independently
selection.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: July 5, 2023
Abstract
As
an
important
bioactive
molecule,
nitric
oxide
(NO)
can
effectively
alleviate
the
effects
of
drought
stress
on
crops.
However,
it
is
still
unclear
whether
increase
resistance
soybean.
Therefore,
in
this
study,
our
objective
was
to
explore
effect
exogenous
NO
application
physiological
characteristics
soybean
seedlings
under
stress.
test
material,
two
varieties,
HN65
and
HN44,
were
used,
while
sodium
nitroprusside
(SNP)
100
μmol
L
−1
,
200
500
1000
served
as
donor,
PEG-6000
osmotic
regulator
simulate
The
irrigation
with
different
SNP
concentrations
for
days
conditions
then
investigated.
results
obtained
showed
that
activities
antioxidant
enzymes,
contents,
well
abscisic
acid
salicylic
contents
plant
leaves
increased
increasing
concentration
treatment
time.
we
observed
excessively
high
decreased
key
nitrogen
metabolism
enzymes
significantly.
This
study
provides
a
theoretical
basis
determining
suitable
duration.
It
also
highlights
strategies
exploring
mechanism
by
which
regulates
crop
resistance.