Plants,
Journal Year:
2024,
Volume and Issue:
13(23), P. 3361 - 3361
Published: Nov. 29, 2024
Screening
genotypes
with
optimal
root
traits
presents
a
promising
breeding
strategy
for
enhancing
adaptability
to
abiotic
stresses
and
improving
resource
use
efficiency.
This
study
evaluated
of
100
winter
wheat
under
four
treatments:
control
(C),
low
phosphorus
(LP),
PEG-induced
drought
(D),
combination
LP
(DLP),
using
semi-hydroponic
phenotyping
platform.
Significant
variations
in
were
observed
65
days
after
transplanting,
over
80%
being
significantly
affected
by
drought,
phosphorus,
or
their
interactions.
Biomass
content
decreased
while
length
diameter
deeper
layers
increased,
especially
stress.
Combined
stress
led
the
most
severe
reductions
biomass,
P-content,
leaf
number.
Phosphorus
acquisition
efficiency
was
positively
correlated
but
inversely
related
tolerance.
High
heritability
traits,
such
as
number,
length,
maximum
depth,
hold
potential
programs
focused
on
environmental
adaptation,
efficiency,
yield
improvement.
The
substantial
genotypic
variation
morphology
conditions
highlights
stress-resilient
genotypes.
finding
lays
foundation
wheat-breeding
initiatives
aimed
at
developing
better
suited
prevailing
conditions.
Plant and Soil,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 19, 2024
Despite
the
widespread
co-occurrence
of
subsoil
acidity
and
compaction,
interaction
between
these
factors
their
combined
effects
on
root
system
development
under
water-limited
conditions
is
poorly
understood.
This
study
aimed
to
investigate
how
removal
soil
strength
influenced
examine
relationships
properties
shoot
growth
field
conditions.
Images
were
obtained
in
situ
by
using
rhizotron
facilities
assess
temporal
improvement
through
loosening
lime
incorporation
wheat
2018
season.
Following
this,
we
examined
relationship
enhanced
systems,
water
nutrient
uptakes,
overall
crop
performance.
The
results
indicated
that
improved
significantly
planar
length
density
(pRLD)
elongation
proliferation
roots
subsoil.
Regressing
tree
analysis
suggested
had
a
more
dominant
influence
pRLD
compared
pH
or
aluminium
—
leading
higher
uptake,
head
yield.
In
addition
benefit
loosening,
treatment
acidity,
promoting
continuous
with
hairs,
allowing
plants
access
previously
unavailable
nutrients
improve
yield
further.
highlights
critical
role
managing
multiple
constraints
for
optimising
productivity.
this
study,
integration
images
data
provided
deeper
understanding
root-soil
interactions
which
could
be
useful
developing
sustainable
management
practices
optimise
productivity
challenging
Physiologia Plantarum,
Journal Year:
2024,
Volume and Issue:
176(3)
Published: May 1, 2024
Abstract
Rapeseed
(
Brassica
napus
L
.
)
is
an
oil‐containing
crop
of
great
economic
value
but
with
considerable
nitrogen
requirement.
Breeding
root
systems
that
efficiently
absorb
from
the
soil
could
be
a
driver
to
ensure
genetic
gains
for
more
sustainable
rapeseed
production.
The
aim
this
study
identify
genomic
regions
regulate
morphology
in
response
nitrate
availability.
natural
variability
offered
by
300
inbred
lines
was
screened
at
two
experimental
locations.
Seedlings
grew
hydroponically
low
or
elevated
levels.
Fifteen
traits
related
biomass
production
and
were
measured.
On
average
across
panel,
level
increased
root‐to‐shoot
ratio
lateral
length.
A
large
phenotypic
variation
observed,
along
important
heritability
values
genotypic
effects,
genotype‐by‐nitrogen
interactions.
Genome‐wide
association
bulk
segregant
analysis
used
loci
regulating
traits.
first
approach
nominated
319
SNPs
combined
into
80
QTLs.
Three
QTLs
identified
on
A07
C07
chromosomes
stable
levels
and/or
second
involved
genotyping
groups
individuals
F2
population
created
crossing
accessions
contrasting
lengths.
These
found
tails
distribution.
Co‐localized
both
mapping
approaches
covered
chromosomal
region
A06
chromosome.
QTL
contained
some
genes
putatively
organogenesis
represent
selection
targets
redesigning
rapeseed.
Excessive
nitrogen
(N)
can
be
lost
to
the
ecosystem
and
result
in
acidification
and/or
eutrophication
of
natural
ecosystems.Reducing
N
application
agricultural
systems
is
necessary
mitigate
environmental
pollution.Breeding
for
crops
with
a
high
use
efficiency
contribute
maintaining
or
even
increasing
yield
at
lower
amounts
fertilizer
applied.Nitrogen
co-determined
by
uptake
physiological
(PE,
grain
biomass
per
unit
taken
up),
which
soil
processes
as
well
plant
architectural,
physiological,
developmental
traits
contribute.This
thesis
aims
quantify
effects
relevant
maize
mechanisms
support
breeding
programs
sustainable
production.I
developed
validated
functional-structural
(FSP)
model
simulates
consequences
growth,
function
range
traits.I
show
that
it
primarily
architectural
are
use;
not
so
much
traits.Furthermore,
I
plasticity
important
only
under
nitrogen-limiting
conditions
but
also
non-limiting
conditions,
notably
improving
uptake.Importantly,
this
increase
was
linked
changes
vertical
distribution
roots
rather
than
total
root
system
size.In
addition,
using
cultivars
plastically
respond
status
may
any
negative
stay-green
on
content.Finally,
combined
cluster
analysis
FSP
modelling
identify
phenotypes
allow
both
uptake.The
results
demonstrated
trade-offs
uptake,
between
sink
strength
carbon,
root-to-leaf
partitioning.Using
identified
two
give
N-uptake,
combination
low
length
density
15
cm
45
depth
allowed
combine
uptake.Overall,
shows
combining
ecological
principles
current
criteria
add
new
dimensions
process
selection
cultivars.However,
we
still
v
need
understand
more
about
role
maximize
growth
while
being
efficient
resource
use,
phenotypic
relationship
productivity
capture
over
wide
environments.Therefore,
silico
vivo
approaches
better
solid
understanding
how
individual
influence
crop
performance.
Abstract
Roots
are
important
in
agricultural
and
natural
systems
for
determining
plant
productivity
soil
carbon
inputs.
The
collection
of
root
samples
from
the
field
their
subsequent
cleaning
scanning
a
water-filled
tray
ranging
size
5
to
20
cm,
followed
by
digital
image
analysis
has
been
commonly
used
since
1990s
measuring
length,
volume,
area,
diameter.
However,
one
common
issue
neglected.
Sometimes,
amount
roots
sample
is
too
much
fit
into
single
scanned
image,
so
divided
among
several
scans.
There
no
standard
method
aggregate
measurements
across
scans
same
sample.
Here,
we
describe
validate
two
methods
standardizing
multiple
scans:
concatenation
statistical
aggregation.
Both
rely
on
file
naming
conventions
identify
that
belong
Image
refers
combining
images
larger
while
maintaining
original
resolution.
We
developed
Python
script
identifies
which
returns
single,
concatenated
every
set
directory.
These
(combining
up
10
scans)
were
processed
with
RhizoVision
Explorer,
free
open-source
software
estimating
traits
images,
settings.
An
R
was
can
rows
data
belonging
Explorer
files
apply
correct
such
as
summation,
weighted
average
appropriate
measurement
types
return
row
each
compared
using
example
switchgrass,
poplar,
various
tree
ericaceous
shrub
species
northern
peatland
Arctic.
Overall,
new
accomplished
goal
Most
nearly
identical
except
median
diameter,
not
be
accurately
computed
believe
availability
these
will
useful
biology
community.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 29, 2024
Abstract
Improving
nitrogen
use
efficiency
in
rice
would
provide
economic
and
environmental
benefits,
but
little
is
known
about
root
morphological
anatomical
responses
to
low
nitrogen.
In
this
study,
two
sets
of
genotypes,
one
set
from
the
RDP1
panel,
recombinant
inbred
lines,
were
used
characterize
gradual
depletion
by
plant
uptake
movement
deeper
soil
strata
as
a
result
leaching,
so
that
more
was
available
at
depth
aerobic
mesocosms
greenhouse.
There
significant
genetic
variation
shoot
biomass
reductions
response
The
ratio
increased
both
genotypes.
Relative
investment
nodal
number
accentuated
with
nitrogen,
correlated
numbers
lengths
large
lateral
roots.
for
length
Anatomical
assessed
roots
RILs,
where
cross-sectional
area,
stele
metaxylem
vessel
reduced
diameter
interactions
genotype
area
percent
aerenchyma
RILs.
Genetic
may
be
useful
selection
lines
greater
acquisition
under
nitrogen-leaching
conditions.
New Phytologist,
Journal Year:
2024,
Volume and Issue:
244(5), P. 2101 - 2108
Published: Oct. 6, 2024
Roots
are
important
in
agricultural
and
natural
systems
for
determining
plant
productivity
soil
carbon
inputs.
Sometimes,
the
amount
of
roots
a
sample
is
too
much
to
fit
into
single
scanned
image,
so
divided
among
several
scans,
there
no
standard
method
aggregate
data.
Here,
we
describe
validate
two
methods
standardizing
measurements
across
multiple
scans:
image
concatenation
statistical
aggregation.
We
developed
Python
script
that
identifies
which
images
belong
same
returns
single,
larger
concatenated
image.
These
original
were
processed
with
RhizoVision
Explorer,
free
open-source
software.
An
R
was
developed,
rows
data
belonging
applies
correct
return
row
each
sample.
compared
using
example
from
switchgrass,
poplar,
various
tree
ericaceous
shrub
species
northern
peatland
Arctic.
Most
root
nearly
identical
between
except
median
diameter,
cannot
be
accurately
computed
by
believe
availability
these
will
useful
biology
community.
PeerJ,
Journal Year:
2024,
Volume and Issue:
12, P. e17868 - e17868
Published: Oct. 9, 2024
The
Egyptian-farmed
soybeans
have
a
wide
range
of
genetic
diversity
which
is
most
important
in
plant
improvement
programs
order
to
develop
new
higher
yielding
soybean
genotypes.
present
study
designed
determine
the
variability
among
seventeen
genotypes
cultivated
(
Glycine
max
L.)
by
examining
phenotypic
level
at
seedling
stage,
field
performance
over
two
years
2022/2023
and
genetically
using
Start
Codon
Targeted
(SCoT)
markers.
Results
indicated
that
SCoT
markers,
100
seed
weight,
tip
angle
(TA)
traits
were
positively
correlated
with
H2L12,
DR
101,
H15L5,
H117
In
addition,
number
branches
per
height
associated
H113,
H32,
Crowford,
H129,
D7512035.
Furthermore,
length
first
internode
(LFI),
root
width
(RW),
(RL),
shoot
(SL)
more
Giza
111,
NC105,
Hutcheson.
hierarchical
cluster
analysis
(HCA)
its
heatmap
explored
differences
It
showed
all
examined
parameters
clustered
into
four
distinct
clusters.
obtained
results
H30,
D75_12035,
H2L12
promising
phenological
morphological
besides
tracking
inheritance
nearby
genes
surrounding
ATG
translation
start
codon
since
they
are
monoclades.
will
help
breeder
plan
appropriate
selection
strategies
for
improving
yield
through
hybridization
from
divergent