Engineering,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 1, 2024
Crop
phenomics
has
rapidly
progressed
in
recent
years
due
to
the
growing
need
for
crop
functional
genomics,
digital
breeding,
and
smart
cultivation.
Despite
this
advancement,
lack
of
standards
creation
usage
technology
equipment
become
a
bottleneck,
limiting
industry's
high-quality
development.
This
paper
begins
with
an
overview
phenotyping
industry
presents
industrial
mapping
big
data
phenomics.
It
analyzes
necessity
current
state
constructing
standard
framework
phenotyping.
Furthermore,
proposes
intended
organizational
structure
goals
framework.
details
essentials
research
development
hardware
equipment,
acquisition,
storage
management
data.
Finally,
it
discusses
promoting
construction
evaluation
framework,
aiming
provide
ideas
developing
Molecular Plant,
Journal Year:
2024,
Volume and Issue:
17(4), P. 552 - 578
Published: March 12, 2024
Genomic
selection,
the
application
of
genomic
prediction
(GP)
models
to
select
candidate
individuals,
has
significantly
advanced
in
past
two
decades,
effectively
accelerating
genetic
gains
plant
breeding.This
article
provides
a
holistic
overview
key
factors
that
have
influenced
GP
breeding
during
this
period.We
delved
into
pivotal
roles
training
population
size
and
diversity,
their
relationship
with
population,
determining
accuracy.Special
emphasis
was
placed
on
optimizing
size.We
explored
its
benefits
associated
diminishing
returns
beyond
an
optimum
size.This
done
while
considering
balance
between
resource
allocation
maximizing
accuracy
through
current
optimization
algorithms.The
density
distribution
single-nucleotide
polymorphisms,
level
linkage
disequilibrium,
complexity,
trait
heritability,
statistical
machine-learning
methods,
non-additive
effects
are
other
vital
factors.Using
wheat,
maize,
potato
as
examples,
we
summarize
effect
these
for
various
traits.The
search
high
GP-theoretically
reaching
one
when
using
Pearson's
correlation
metric-is
active
research
area
yet
far
from
optimal
traits.We
hypothesize
ultra-high
sizes
genotypic
phenotypic
datasets,
effective
methods
support
omics
approaches
(transcriptomics,
metabolomics
proteomics)
coupled
deep-learning
algorithms
could
overcome
boundaries
limitations
achieve
highest
possible
accuracy,
making
selection
tool
breeding.
Frontiers in Plant Science,
Journal Year:
2024,
Volume and Issue:
15
Published: March 22, 2024
Low
temperature
is
a
type
of
abiotic
stress
affecting
the
tomato
(
Solanum
lycopersicum
)
growth.
Understanding
mechanisms
and
utilization
exogenous
substances
underlying
plant
tolerance
to
cold
would
lay
foundation
for
improving
resilience
in
this
important
crop.
Our
study
aiming
investigate
effect
glycine
betaine
(GB)
on
seedlings
increase
low
temperatures.
By
treating
with
GB
under
stress,
we
found
that
30
mmol/L
can
significantly
improve
seedlings.
Exogenous
influence
enzyme
activity
antioxidant
defense
system
ROS
levels
leaves.
The
treatment
presented
higher
Fv/Fm
value
photochemical
compared
control.
Moreover,
analysis
high-throughput
phenotyping
also
supported
protect
photosynthetic
stress.
In
addition,
proved
increased
content
endogenous
abscisic
acid
(ABA)
decreased
gibberellin
(GA)
levels,
which
protected
tomatoes
from
Meanwhile,
transcriptional
showed
regulated
expression
genes
involved
capacity,
calcium
signaling,
photosynthesis
activity,
energy
metabolism-related
pathway-related
plants.
conclusion,
our
findings
indicated
GB,
as
cryoprotectant,
enhance
by
system,
hormone
response
pathway
so
on.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(4), P. 2198 - 2198
Published: Feb. 12, 2024
Plants
possess
the
remarkable
ability
to
sense
detrimental
environmental
stimuli
and
launch
sophisticated
signal
cascades
that
culminate
in
tailored
responses
facilitate
their
survival,
transcription
factors
(TFs)
are
closely
involved
these
processes.
Phytochrome
interacting
(PIFs)
among
TFs
belong
basic
helix–loop–helix
family.
PIFs
initially
identified
have
now
been
well
established
as
core
regulators
of
phytochrome-associated
pathways
response
light
plants.
However,
a
growing
body
evidence
has
unraveled
also
play
crucial
role
adapting
plants
various
biological
pressures.
In
this
review,
we
summarize
highlight
function
hub
integrates
multiple
cues,
including
abiotic
(i.e.,
drought,
temperature,
salinity)
biotic
stresses
optimize
plant
growth
development.
not
only
reprogram
expression
related
genes,
but
interact
with
adapt
harsh
environments.
This
review
will
contribute
understanding
multifaceted
functions
different
stress
conditions,
which
shed
on
efforts
further
dissect
novel
PIFs,
especially
adaption
environments
for
better
survival
Plant Breeding,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 20, 2024
ABSTRACT
The
global
population
is
placing
unprecedented
demand
on
food
systems,
which
can
be
met
only
through
a
complex
interplay
of
technology,
sustainable
production
intensification
methods
and
climate
resilience.
To
address
such
compounded
requirements,
developing
high‐yielding
crop
varieties
using
precise
plant
breeding
bolstered
with
efficient
nondestructive
trait
documentation
approaches
vital.
High‐throughput
phenotyping
(HTCP)
platforms
have
prominently
emerged
as
mainstream
approach
for
reducing
the
bottleneck
in
programmes.
HTCP
has
potential
to
provide
detailed
quantitative
information
large
populations
under
different
growth
stages
across
diverse
environmental
regimes,
facilitating
accelerated
strategies.
New
imaging
also
enable
characterization
wide
range
above
below‐ground
parameters.
specificity
use
sensors,
automation
data
collection,
large‐scale
handling
systems
accurate
analytical
tools
substantial
role
dynamic
monitoring
big
interpretation.
are
capable
making
measurements
physiological,
morphological,
biochemical
stress
responses
plants.
Developments
sensors
improved
precision,
intervention
unmanned
aerial
vehicles,
robotics,
computed
tomography
machine
learning
given
dramatic
developmental
leap
phenotyping.
This
review
provides
an
avenue
understanding
various
high‐throughput
platforms,
working
principles,
current
developments
contributions
crops
laboratory
field
conditions.
A
comparative
idea
advantages
pitfalls
these
available
help
researchers
choosing
right
technology
suiting
specific
practical
requirements.
Furthermore,
aims
novel
future
prospects
requirements
that
potentially
widen
application
utilization
technologies
agriculture.
Plant Biotechnology Journal,
Journal Year:
2024,
Volume and Issue:
22(4), P. 802 - 818
Published: Jan. 13, 2024
Summary
The
microphenotype
plays
a
key
role
in
bridging
the
gap
between
genotype
and
complex
macro
phenotype.
In
this
article,
we
review
advances
data
acquisition
intelligent
analysis
of
plant
microphenotyping
present
applications
science
over
past
two
decades.
We
then
point
out
several
challenges
field
suggest
that
cross‐scale
image
strategies,
powerful
artificial
intelligence
algorithms,
advanced
genetic
analysis,
computational
phenotyping
need
to
be
established
performed
better
understand
interactions
among
genotype,
environment,
management.
Microphenotyping
has
entered
era
3.0
will
largely
advance
functional
genomics
science.
Agronomy,
Journal Year:
2023,
Volume and Issue:
13(7), P. 1744 - 1744
Published: June 28, 2023
Cultivating
new
alfalfa
(Medicago
sativa
L.)
varieties
with
high
yield
and
quality
is
of
great
significance
for
improving
promoting
the
development
grass
livestock
industry.
Plant
height
an
important
indicator
closely
related
to
photosynthetic
capacity,
harvest
index
yield.
However,
underlying
cause
variation
in
among
plants
not
clear.
In
this
paper,
we
measured
phenotypic
traits,
physiology
endogenous
hormone
content
tall-
short-stalked
materials
analyzed
external
internal
factors
that
caused
difference
plant
alfalfa.
We
found
traits
showed
significant
differences,
dwarf
shortening
main
stem
internode
length.
There
were
also
some
differences
light
physiological
indicators
contents
between
materials.
Through
correlation
analysis,
significantly
correlated
number
internodes,
diameter,
average
length,
leaf–stem
ratio,
leaf
area,
Pn
(net
rate),
Tr
(transpiration
upper
SP
(soluble
protein),
Suc
(sucrose)
content,
middle
Sta
(starch)
ZT
(zeatin)
IAA
(indole-3-acetic
acid).
Further
analysis
Tr,
LA
played
a
direct
role
height,
contributing
most
followed
by
IAA.
Finally,
starch
had
impact
on
through
principal
component
analysis.
These
results
provide
insights
into
formation
genetic
improvement
leguminous
forages
such
as