Unveiling Performance and Genetic Estimates of Tongil‐Type Rice Genotypes for Yield Improvement and Breeding
Advances in Agriculture,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
Enhancing
grain
yield
(GY)
is
critical
to
satisfying
increasing
global
food
demands.
However,
owing
its
complex
genetic
basis,
selecting
for
alone
often
insufficient.
A
more
effective
strategy
involves
evaluating
alongside
associated
traits.
In
this
study,
we
assessed
the
genotypic
performance
and
estimated
parameters
yield‐related
traits
in
25
rice
genotypes
using
a
5
×
simple
lattice
design
with
two
replications
during
2023
growing
season.
Analysis
of
variance
revealed
highly
significant
differences
(
p
<
0.001)
days
50%
flowering
(D50FLW),
plant
height
(PH),
number
filled
grains
per
panicle
(NFGPN),
thousand‐grain
weight
(TGW),
while
tillers
(NTP),
productive
(NPTP),
GY
hectare
were
at
0.05.
contrast,
length
(PL)
unfilled
(NUGPN)
not
significant.
Notably,
was
positively
correlated
PH
r
=
0.40,
0.05)
NFGPN
0.43,
0.05).
Among
traits,
exhibited
highest
coefficient
variation
(GCV)
(19.13%),
broad‐sense
heritability
(Hb)
(64.24%),
advance
as
percentage
mean
(GAM)
(31.59%),
marking
it
key
target
selection.
TGW
also
demonstrated
high
(79.83%
82.15%,
respectively)
moderate
(GA)
(14.7%
16.43%).
Principal
component
analysis
(PCA)
further
identified
major
contributor
overall
variability.
These
findings
provide
valuable
insights
targeted
selection
development
efficient
breeding
strategies.
Язык: Английский
Genomic Selection for Phenotype Prediction in Rice
Опубликована: Янв. 1, 2024
Язык: Английский
Functional Genomics and Comparative Genomics Analysis in Plants
Current Issues in Molecular Biology,
Год журнала:
2024,
Номер
46(12), С. 13780 - 13782
Опубликована: Дек. 5, 2024
The
study
of
plant
genomics
has
significantly
deepened
our
understanding
evolution
and
adaptation
from
a
microscopic
perspective
[...]
Язык: Английский
Study on rice sprout damage in UAV direct seeding with auger mechanisms
Computers and Electronics in Agriculture,
Год журнала:
2024,
Номер
229, С. 109809 - 109809
Опубликована: Дек. 17, 2024
Язык: Английский
Mapping and Validation of Quantitative Trait Loci on Yield-Related Traits Using Bi-Parental Recombinant Inbred Lines and Reciprocal Single-Segment Substitution Lines in Rice (Oryza sativa L.)
Plants,
Год журнала:
2024,
Номер
14(1), С. 43 - 43
Опубликована: Дек. 26, 2024
Yield-related
traits
have
higher
heritability
and
lower
genotype-by-environment
interaction,
making
them
more
suitable
for
genetic
studies
in
comparison
with
the
yield
per
se.
Different
populations
been
developed
employed
QTL
mapping;
however,
use
of
reciprocal
SSSLs
is
limited.
In
this
study,
three
kinds
bi-parental
were
used
to
investigate
stable
novel
QTLs
on
six
yield-related
traits,
i.e.,
plant
height
(PH),
heading
date
(HD),
thousand-grain
weight
(TGW),
effective
tiller
number
(ETN),
spikelets
panicle
(NSP),
seed
set
percentage
(SS).
Two
parental
lines,
japonica
Asominori
indica
IR24,
their
recombinant
inbred
lines
(RILs),
single-segment
substitution
(SSSLs),
AIS
IAS,
genotyped
by
SSR
markers
phenotyped
four
environments
two
replications.
Broad-sense
ranged
from
0.67
0.94,
indicating
suitability
mapping.
RIL
population,
18
identified
4
PH,
6
HD,
5
TGW,
1
each
ETN,
NSP,
SS.
Eight
validated
IAS
populations.
The
results
indicated
that
allele
IR24
increased
alternative
reduced
PH
at
qPH3-1.
AIS18,
AIS19,
AIS20
be
donor
parents
which
can
increase
rice;
other
hand,
IAS14
IAS15
reduce
rice.
delayed
HD
qHD3-1.
AIS14
AIS15
delay
IAS13
Reciprocal
not
only
are
ideal
materials
validation,
but
also
provide
opportunity
fine
mapping
gene
cloning
QTLs.
Язык: Английский