Nitrogen,
Год журнала:
2024,
Номер
5(2), С. 266 - 287
Опубликована: Апрель 9, 2024
This
five-year
study
(2016–2021)
in
Morocco’s
Mediterranean
climate
investigated
the
effect
of
nitrogen
fertilization
and
genotypic
selection
on
wheat
yield
associated
components.
Utilizing
a
split-plot
design,
assessed
five
genotypes—’Faraj’,
‘Luiza’,
‘Itri’,
‘Karim’
‘Nassira’—under
three
application
rates
(120,
60
0
kg/ha)
across
thirty
plots
with
two
replicates.
Interactions
between
year
showed
marked
significance
(p
=
0.001),
biomass
0.002),
TKW
0.003)
Spk/m2
underscoring
variability
optimal
different
years.
Additionally,
significant
interactions
variety
were
observed
for
0.001)
G/m2
indicating
performance
varieties
The
‘Itri’
genotype
highest
2017,
while
‘Luiza’
was
pre-eminent
2018,
producing
most
biomass.
‘Faraj’
demonstrated
consistent
superiority
during
2019
2020.
Our
integrated
principal
component
analysis
quadratic
models
elucidated
that
an
intermediate
rate
kg/ha
(N2)
particularly
advantageous
genotypes.
These
findings
highlight
substantial
impact
informed
level
adjustment
optimization.
Spike
traits
play
a
pivotal
role
in
determining
wheat
yield.
In
this
study,
two
recombinant
inbred
line
(RIL)
populations
were
employed
to
identify
quantitative
trait
loci
(QTLs)
for
spike
length
(SL),
spikelet
number
per
(SNS),
and
basal
sterile
(BSSN).
A
total
of
30
QTLs
identified,
including
7
major-effect
that
exhibited
stability
across
multiple
environments.
Among
these,
novel
discovered:
QBssn.A-3
A.3
QBssn.AV-5B.2.
Furthermore,
it
was
found
the
combination
these
with
other
major
effect
had
no
impact
on
thousand-kernel
weight
(TKW).
For
A.3,
Kompetitive
Allele-Specific
PCR
(KASP)
marker
developed
validated
based
its
physical
location.
Additionally,
candidate
genes
within
intervals
QBssn.AV-5B.2
predicted,
primarily
associated
spike.
This
study
provides
foundation
future
map-baesd
cloning
related
traits,
breeding
high-yield
varieties.
Theoretical and Applied Genetics,
Год журнала:
2025,
Номер
138(5)
Опубликована: Май 1, 2025
Twenty-six
QTLs
associated
with
yield-related
traits
in
wheat
were
identified
through
joint
linkage
and
association
analysis,
TraesCS5A03G0002500
being
selected
as
a
candidate
gene
for
QGl.caas-5A.1.
As
major
staple
crop
worldwide,
continuously
increasing
yield
is
crucial
ensuring
food
security.
Wheat
influenced
by
multiple
traits,
elucidating
the
genetic
basis
of
lays
foundation
future
cloning
molecular
mechanism
studies.
In
this
study,
recombinant
inbred
line
(RIL)
population
derived
from
292
lines
Hengguan
35/Zhoumai
18
was
genotyped
Affymetrix
660
K
SNP
array.
Combined
phenotype
RIL
13
environments,
analysis
six
including
plant
height,
grain
number
per
spike,
thousand-grain
weight,
length,
width,
thickness
conducted.
A
total
262
quantitative
trait
locus
(QTLs)
(logarithm
odds
[LOD]
>
3)
across
21
chromosomes,
which
50
repeatedly
detected
more
than
three
environments.
Numerous
harbored
cloned
genes
overlapped
those
reported
previous
Subsequently,
genome-wide
study
(GWAS)
data
advanced
backcross-nested
mapping
plus
inter-crossed
(AB-NAMIC)
revealed
26
overlapping
genomic
regions.
Notably,
QGl.caas-5A.1
length
on
chromosome
5A
both
AB-NAMIC
populations,
gene.
kompetitive
allele-specific
PCR
(KASP)
marker
based
variant
[A/G]
developed
validated
natural
containing
350
accessions.
Taken
together,
these
results
provide
valuable
information
fine
future.
Frontiers in Plant Science,
Год журнала:
2023,
Номер
14
Опубликована: Март 17, 2023
Introduction
Identification
of
stable
major
quantitative
trait
loci
(QTLs)
for
yield-related
traits
is
important
yield
potential
improvement
in
wheat
breeding.
Methods
In
the
present
study,
we
genotyped
a
recombinant
inbred
line
(RIL)
population
using
Wheat
660K
SNP
array
and
constructed
high-density
genetic
map.
The
map
showed
high
collinearity
with
genome
assembly.
Fourteen
were
evaluated
six
environments
QTL
analysis.
Results
Discussion
A
total
12
environmentally
QTLs
identified
at
least
three
environments,
explaining
up
to
34.7%
phenotypic
variation.
Of
these,
QTkw-1B.2
thousand
kernel
weight
(TKW),
QPh-2D.1
(
QSl-2D.2/QScn-2D.1
)
plant
height
(PH),
spike
length
(SL)
spikelet
compactness
(SCN),
QPh-4B.1
PH,
QTss-7A.3
number
per
(TSS)
detected
five
environments.
set
Kompetitive
Allele
Specific
PCR
(KASP)
markers
converted
based
on
above
used
genotype
diversity
panel
comprising
190
accessions
across
four
growing
seasons.
),
successfully
validated.
Compared
previous
studies,
should
be
novel
QTLs.
These
results
provided
solid
foundation
further
positional
cloning
marker-assisted
selection
targeted
breeding
programs.
Proceedings of the National Academy of Sciences,
Год журнала:
2023,
Номер
120(38)
Опубликована: Сен. 13, 2023
Wheat
is
an
important
contributor
to
global
food
security,
and
further
improvements
are
required
feed
a
growing
human
population.
Functional
genetics
genomics
tools
can
help
us
understand
the
function
of
different
genes
engineer
beneficial
changes.
In
this
study,
we
used
promoter
capture
assay
sequence
2-kb
regions
upstream
all
high-confidence
annotated
from
1,513
mutagenized
plants
tetraploid
wheat
variety
Kronos.
We
identified
4.3
million
induced
mutations
with
accuracy
99.8%,
resulting
in
mutation
density
41.9
per
kb.
also
remapped
Kronos
exome
reads
Chinese
Spring
RefSeq
v1.1,
4.7
mutations,
predicted
their
effects
on
genes.
Using
these
predictions,
59%
more
nonsynonymous
substitutions
49%
truncation
than
original
study.
To
show
biological
value
dataset,
selected
two
within
VRN-A1
vernalization
gene.
Both
located
transcription
factor
binding
sites,
significantly
altered
expression,
one
reduced
number
spikelets
spike.
These
publicly
available
sequenced
mutant
datasets
provide
rapid
inexpensive
access
variation
promoters
coding
most
be
modulate
gene
expression
phenotypes
for
both
basic
commercial
applications,
where
limited
governmental
regulations
facilitate
deployment.
collections,
together
editing,
valuable
accelerate
functional
genetic
studies
economically
crop.
Nitrogen,
Год журнала:
2024,
Номер
5(2), С. 266 - 287
Опубликована: Апрель 9, 2024
This
five-year
study
(2016–2021)
in
Morocco’s
Mediterranean
climate
investigated
the
effect
of
nitrogen
fertilization
and
genotypic
selection
on
wheat
yield
associated
components.
Utilizing
a
split-plot
design,
assessed
five
genotypes—’Faraj’,
‘Luiza’,
‘Itri’,
‘Karim’
‘Nassira’—under
three
application
rates
(120,
60
0
kg/ha)
across
thirty
plots
with
two
replicates.
Interactions
between
year
showed
marked
significance
(p
=
0.001),
biomass
0.002),
TKW
0.003)
Spk/m2
underscoring
variability
optimal
different
years.
Additionally,
significant
interactions
variety
were
observed
for
0.001)
G/m2
indicating
performance
varieties
The
‘Itri’
genotype
highest
2017,
while
‘Luiza’
was
pre-eminent
2018,
producing
most
biomass.
‘Faraj’
demonstrated
consistent
superiority
during
2019
2020.
Our
integrated
principal
component
analysis
quadratic
models
elucidated
that
an
intermediate
rate
kg/ha
(N2)
particularly
advantageous
genotypes.
These
findings
highlight
substantial
impact
informed
level
adjustment
optimization.