iScience,
Journal Year:
2020,
Volume and Issue:
23(6), P. 101241 - 101241
Published: June 1, 2020
As
one
of
the
most
extensively
cultivated
crops,
maize
(Zea
mays
L.)
has
been
studied
by
researchers
and
breeders
for
over
a
century.
With
advances
in
high-throughput
detection
various
omics
data,
wealth
multi-dimensional
multi-omics
information
accumulated
its
wild
relative,
teosinte.
Integration
this
potential
to
accelerate
genetic
research
generate
improvements
agronomic
traits.
To
end,
we
constructed
ZEAMAP,
comprehensive
database
incorporating
multiple
reference
genomes,
annotations,
comparative
genomics,
transcriptomes,
open
chromatin
regions,
interactions,
high-quality
variants,
phenotypes,
metabolomics,
maps,
mapping
loci,
population
structures,
populational
DNA
methylation
signals
within
inbred
lines.
ZEAMAP
is
user
friendly,
with
ability
interactively
integrate,
visualize,
cross-reference
different
datasets.
Molecular Plant,
Journal Year:
2019,
Volume and Issue:
12(5), P. 615 - 631
Published: April 15, 2019
Current
global
agricultural
production
must
feed
over
7
billion
people.
However,
productivity
varies
greatly
across
the
globe
and
is
under
threat
from
both
increased
competitions
for
land
climate
change
associated
environmental
deterioration.
Moreover,
increase
in
human
population
size
dietary
changes
are
putting
an
ever
greater
burden
on
agriculture.
The
majority
of
this
met
by
cultivation
a
very
small
number
species,
largely
locations
that
differ
their
origin
domestication.
Recent
technological
advances
have
raised
possibility
de
novo
domestication
wild
plants
as
viable
solution
designing
ideal
crops
while
maintaining
food
security
more
sustainable
low-input
Here
we
discuss
how
discovery
multiple
key
genes
alongside
development
technologies
accurate
manipulation
several
target
simultaneously
renders
route
toward
future.
Science,
Journal Year:
2019,
Volume and Issue:
366(6466)
Published: Sept. 5, 2019
Growing
more
and
better
food
Increasing
human
populations
demand
productive
agriculture,
which
in
turn
relies
on
crop
plants
adjusted
for
high-yield
systems.
Eshed
Lippman
review
how
genetic
tuning
of
the
signaling
systems
that
regulate
flowering
plant
architecture
can
be
applied
to
crops.
Crops
flower
sooner
might
adaptable
regions
with
shorter
growing
seasons,
compact
shapes
facilitate
agricultural
management.
The
universality
these
hormone
facilitates
application
a
range
crops,
from
orphan
teff
well-known
wheat.
Science
,
this
issue
p.
eaax0025
The Plant Journal,
Journal Year:
2020,
Volume and Issue:
105(5), P. 1165 - 1178
Published: Dec. 1, 2020
Summary
Crop
production
is
facing
unprecedented
challenges.
Despite
the
fact
that
food
supply
has
significantly
increased
over
past
half‐century,
~8.9
and
14.3%
people
are
still
suffering
from
hunger
malnutrition,
respectively.
Agricultural
environments
continuously
threatened
by
a
booming
world
population,
shortage
of
arable
land,
rapid
changes
in
climate.
To
ensure
ecosystem
security,
there
need
to
design
future
crops
for
sustainable
agriculture
development
maximizing
net
minimalizing
undesirable
effects
on
environment.
The
projects,
recently
launched
National
Natural
Science
Foundation
China
Chinese
Academy
Sciences
(CAS),
aim
develop
roadmap
customized
using
cutting‐edge
technologies
Breeding
4.0
era.
In
this
perspective,
we
first
introduce
background
missions
these
projects.
We
then
outline
strategies
crops,
such
as
improvement
current
well‐cultivated
de
novo
domestication
wild
species
redomestication
cultivated
crops.
further
discuss
how
ambitious
goals
can
be
achieved
recent
new
integrative
omics
tools,
advanced
genome‐editing
tools
synthetic
biology
approaches.
Finally,
summarize
related
opportunities
challenges
Frontiers in Genetics,
Journal Year:
2021,
Volume and Issue:
12
Published: Feb. 24, 2021
Although
hybrid
crop
varieties
are
among
the
most
popular
agricultural
innovations,
rationale
for
breeding
is
sometimes
misunderstood.
Hybrid
slower
and
more
resource-intensive
than
inbred
breeding,
but
it
allows
systematic
improvement
of
a
population
by
recurrent
selection
exploitation
heterosis
simultaneously.
Inbred
parental
lines
can
identically
reproduce
both
themselves
their
F
Molecular Plant,
Journal Year:
2022,
Volume and Issue:
15(11), P. 1664 - 1695
Published: Sept. 7, 2022
The
first
paradigm
of
plant
breeding
involves
direct
selection-based
phenotypic
observation,
followed
by
predictive
using
statistical
models
for
quantitative
traits
constructed
based
on
genetic
experimental
design
and,
more
recently,
incorporation
molecular
marker
genotypes.
However,
performance
or
phenotype
(P)
is
determined
the
combined
effects
genotype
(G),
envirotype
(E),
and
environment
interaction
(GEI).
Phenotypes
can
be
predicted
precisely
training
a
model
data
collected
from
multiple
sources,
including
spatiotemporal
omics
(genomics,
phenomics,
enviromics
across
time
space).
Integration
3D
information
profiles
(G-P-E),
each
with
multidimensionality,
provides
both
tremendous
opportunities
great
challenges.
Here,
we
review
innovative
technologies
breeding.
We
then
evaluate
multidimensional
that
integrated
strategy,
particularly
envirotypic
data,
which
have
largely
been
neglected
in
collection
are
nearly
untouched
construction.
propose
smart
scheme,
genomic-enviromic
prediction
(iGEP),
as
an
extension
genomic
prediction,
multiomics
information,
big
technology,
artificial
intelligence
(mainly
focused
machine
deep
learning).
discuss
how
to
implement
iGEP,
models,
environmental
indices,
factorial
structure
cross-species
prediction.
A
strategy
proposed
prediction-based
crop
redesign
at
macro
(individual,
population,
species)
micro
(gene,
metabolism,
network)
scales.
Finally,
provide
perspectives
translating
into
gain
through
integrative
platforms
open-source
initiatives.
call
coordinated
efforts
institutional
partnerships,
technological
support.
