Morphological Description of Chickpea (Cicer arietanum L) Genotypes Using DUS Characterization
International Journal of Environment and Climate Change,
Journal Year:
2023,
Volume and Issue:
13(9), P. 1321 - 1341
Published: July 18, 2023
The
cultivated
chickpea
(Cicer
arietinum)
holds
great
importance
as
a
pulse
crop
in
India.
identification
and
classification
of
diverse
genotypes
are
crucial
for
implementing
effective
strategies
to
improve
this
crop.
This
study
was
conducted
get
comprehensive
morphological
characterization
desi
using
the
DUS
(Distinctness,
Uniformity,
Stability)
descriptors
suggested
by
Protection
Plant
Varieties
Farmer's
Rights
Authority,
Government
India,
2018.
Environmental
conditions,
such
temperature,
light,
humidity,
nutrient
availability,
can
influence
plant
variability.
Different
environments
impose
selective
pressures
on
plants
resulting
variability
within
populations.
objective
investigation
identify
classify
based
17
different
qualitative
traits
observed
field
experiment.
Among
only
one
trait
exhibited
consistent
phenotype
(monomorphic),
six
displayed
two
distinct
phenotypes
(dimorphic),
nine
three
(trimorphic),
showed
more
than
phenotypic
variations
(polymorphic)
among
all
studied.
indicates
presence
significant
genetic
germplasm,
offering
potential
assigning
profiles
varietal
characterization.
In
particular,
features
like
seed
foliar
colour,
pod
size,
leaflet
shape,
it
found
that
high
level
diversity
germplasm
Shannon's
indices.
these
enabled
development
each
line,
facilitating
their
evaluation
elite
lines.
Language: Английский
Genetic Components and Variability Assessment for Grain Yield and Its Accrediting Traits in Maize (Zea mays L.)
International Journal of Environment and Climate Change,
Journal Year:
2023,
Volume and Issue:
13(9), P. 772 - 784
Published: July 10, 2023
Understanding
the
variability,
heritability,
and
genetic
advance
in
maize
is
crucial
for
efficient
plant
breeding
improvement
programmes.
The
present
investigation
was
conducted
to
evaluate
various
parameters
related
assessment
of
variability
nature
associations
among
traits
affecting
grain
yield
80
genotypes
(Zea
mays
L.)
at
Research
Farm,
Department
Genetics
&
Plant
Breeding,
College
Agriculture,
Gwalior,
M.P.,
India
during
Rabi
seasons
2019-20
Kharif
2020-21.
analysis
variance
revealed
that
highly
significant
differences
exist
inbred
lines,
their
hybrids
checks
all
characters.
Under
irrigated
partial
conditions,
viz.,
days
50
percent
tasselling
silking,
anthesis
silking
interval
(ASI),
height
membrane
stability
index
exhibited
high
GCV
PCV.
characters
with
highest
heritability
coupled
higher
were
found
namely:
50%
tasselling,
interval,
height,
numbers
kernel
rows
per
cob,
rows,
seed
(g),
cobs
plant,
maturity,
cob
girth
(cm),
turgid
weight
saturation
water
deficit
both
under
conditions.
High
as
mean
indicated
preponderance
additive
gene
action
controlling
traits.
Hence
direct
selection
such
would
be
effective
improving
maize.
Language: Английский
Screening of Chickpea (Cicer arietinum L.) Genotypes against Drought Stress Employing Polyethylene Glycol 6000 as Selecting Agent
Ruchi Asati,
No information about this author
M. K. Tripathi,
No information about this author
Sushma Tiwari
No information about this author
et al.
International Journal of Plant & Soil Science,
Journal Year:
2023,
Volume and Issue:
35(19), P. 2155 - 2169
Published: Sept. 14, 2023
Chickpea
(Cicer
arietinum
L.)
stands
as
a
prominent
legume
crop
globally,
renowned
for
its
elevated
protein
content.
The
primary
challenges
to
chickpea
cultivation
emanate
from
abiotic
stressors,
with
drought
reigning
the
most
pivotal
contributor
diminished
growth
and
production
output.
To
select
putative
tolerant
genotype
(s),
an
in
vitro
screening
method
was
deployed,
utilizing
different
concentration
of
Polyethylene
Glycol
(PEG
6000)
selecting
agent
along
control.
Seeds
twenty
genotypes
were
treated
concentrations
PEG6000
observations
recorded
shoot
length
(cm),
root
germination
percentage,
relative
water
content,
seedling
vigour
index
stress
tolerance
(STI).
Evidently,
all
assessed
attributes
exhibited
significant
reduction
commensurate
augmentation
PEG6000.
This
trend
detrimentally
influenced
entirety
growth-related
metrics.
Furthermore,
distinction
variability
across
concerning
index,
(STI)
emerged
vigorous
informative
standards
discriminating
drought-tolerant
(s)
during
both
phases.
Investigative
findings
spotlighted
disposition
genotypes,
where
viz.,
SAGL152252,
ICC4958,
JG315
found
be
based
on
parameters
investigated.
Language: Английский
Screening Chickpea Genotypes against Fusarium Wilt Disease under Controlled Conditions
International Journal of Plant & Soil Science,
Journal Year:
2023,
Volume and Issue:
35(19), P. 698 - 710
Published: Aug. 25, 2023
Fusarium
wilt
caused
by
oxysporum
f.
sp.
Ciceris
is
one
of
the
economical
important
vascular
root
diseases
affecting
chickpea
which
can
cause
up
to
90%
yield
loss
during
crop
growth
stages.
In
present
investigation,
71
genotypes
including
two
controls
viz.,
JG315
(highly
resistant)
and
JG
62
susceptible)
were
screened
artificial
inoculation
pathogen
causing
under
controlled
conditions
in
poly
house
using
Completely
Randomized
Design
with
replications
Rabi
2022
intention
identify
potentially
resistant
genotype
(s).
Disease
incidence
was
evaluated
across
distinct
developmental
phases,
specifically
seedling
reproductive
stages,
employing
metric
percent
disease
incidence.
At
stage,
out
entries,
24
displayed
resistance
disease,
38
exhibited
moderate
resistance,
five
found
be
moderately
susceptible,
three
only
showed
high
susceptibility.
Upon
reaching
reactions
changed
drastically
as
resistant,
14
17
25
susceptible
highly
susceptible.
Language: Английский
Evaluation of Genetic Diversity through D2 Statistic in Chickpea (Cicer arietinum L.)
International Journal of Environment and Climate Change,
Journal Year:
2023,
Volume and Issue:
13(10), P. 1598 - 1611
Published: Aug. 30, 2023
The
present
investigation
was
conducted
at
the
Agriculture
Research
Farm,
Department
of
Genetics
and
Plant
Breeding,
College
Agriculture,
Rajmata
Vijyaraje
Scindia
Krishi
Vishwa
Vidyalaya,
Gwalior,
Madhya
Pradesh,
India.
objective
to
assess
genetic
diversity
among
71
different
chickpea
genotypes
in
relation
their
yield
its
attributing
traits.
experimental
design
employed
a
complete
randomized
block
with
two
replications.
A
comprehensive
set
observations
made
on
twelve
distinct
accrediting
traits
from
five
randomly
selected
plants
within
each
genotype.
Based
D2
Statistics
analysis,
were
classified
into
26
clusters.
Conspicuously,
cluster
highest
numbers
designated
as
1.
remarkable
finding
emerged
analysis
intra-cluster
distances,
16
displaying
greatest
distance
constituents.
evaluation
inter-cluster
distances
revealed
significant
dissimilarity
between
clusters
22
26,
suggesting
presence
considerable
variation
these
Conversely,
minimal
2
4,
indicating
closer
relationship
ICCV
201109
SAGL-
162387.
In
terms
it
became
evident
that
related
exerting
most
substantial
influence
overall
divergence
biological
per
plant,
100-seed
weight,
pods
plant.
contrast,
effective
plant
contributed
minimally
divergence.
findings
both
individual
performance
assessments
(per
se
performance),
specific
viz.,
201207
SAGL
22-121,
short
out
promising
for
inclusion
hybridization
programme.
These
contribute
deeper
understanding
variability
lay
groundwork
further
breeding
programmes
aimed
enhance
crop
productivity.
Language: Английский
Study of Genetic Variability and Character Association for Yield and Components Traits in Chickpea (Cicer arietinum L.) Germplasm in Bundelkhand Region
Amit Kumar,
No information about this author
Anshuman Singh,
No information about this author
Meenakshi Arya
No information about this author
et al.
Journal of Experimental Agriculture International,
Journal Year:
2024,
Volume and Issue:
46(8), P. 628 - 639
Published: Aug. 5, 2024
Chickpea
(Cicer
arietinum
L.)
is
a
very
important
crop
among
the
grain
legume
crops
in
India.
It
grown
north
India
winter
season
on
marginal
and
semi-marginal
land
as
commonly
non-irrigated
crop.
Bundelkhand,
region
Uttar
Pradesh,
India,
notorious
for
its
harsh
climate,
characterized
by
extreme
heat
drought
stress.
Temperature
fluctuate
with
highs
reaching
50°C
summer
lows
of
5°C
winter,
exert
substantial
adverse
effects
chickpea
cultivation,
impairing
growth
yield
demand
to
have
genetic
resources
used
breeding
programs.
The
experiment
aimed
characterize
evaluate
204
lines,
including
commercial
varieties,
understand
magnitude
variability
association
various
parameters
based
12
agro-morphological
characters
under
Bundelkhand
region.
ANOVA
shows
that
significant
variation
exists
most
characteristics
chickpeas.
Higher
GCV
PCV
were
observed
plant
population
(GCV
24.92,
31.22)
followed
number
secondary
branches
21.61,
26.55),
pods
per
12.92,
18.47),
seed
11.39,
21.98)
biological
11.68,
20.37),
revealing
environment
plays
positive
role
expression
these
characters.
High
heritability
was
found
100
weight
(96.41)
(84.11)
(66.26)
high
degree
advance
(26.24)
(15.25
6.92).
coupled
plant,
indicating
selection
could
be
rewarding
proper
Correlation
path
studies
showed
(r-0.91),
(r-
0.680),
(r-0.46),
seeds
pod
(r-0.32)
(0.29)
turned
out
main
components
chickpea,
stipulating
desirable
parameter.
Language: Английский
Exploring genetic variability and trait associations with focus on flowering time in chickpea (Cicer arietinum L.)
Sreeja Sureddy,
No information about this author
Anuradha Ch,
No information about this author
Rakesh K. Srivastava
No information about this author
et al.
International Journal of Advanced Biochemistry Research,
Journal Year:
2024,
Volume and Issue:
8(8), P. 457 - 463
Published: Aug. 1, 2024
The
current
study
evaluated
a
diverse
chickpea
reference
set
of
280
accessions
for
days
to
first
flower,
fifty
percent
flowering
and
maturity
understand
the
genetic
nature
these
traits
along
with
other
agronomic
traits.
experiments
were
conducted
during
Rabi
2023-24
at
ICRISAT,
Hyderabad
(Env
I)
ARS,
Mudhole
II).
observations
revealed
significant
variability
ranging
from
35-72
days,
41-78
81-112
respectively,
under
Env
I,
II,
pooled
environments.
genotypic
coefficient
variance
was
lower
than
phenotypic
individual
conditions
all
in
present
indicating
strong
environmental
influence.
Days
flowering,
showed
high
broad
sense
heritability
across
High
advance
as
mean
is
observed
flower
(25.8%,
21.8%,
22%),
moderate
(23.3%,
19.3%,
19.6%),
low
(9.9%,
10.1%,
7.1%)
conditions,
respectively.
negative
correlation
yield
per
plant
(-0.25,
-0.36,
-0.37),
correlations
(-0.43,
-0.30)
only
II
conditions.
These
suggest
that
selecting
earlier
may
be
effective
maximizing
yield.
Thus,
promising
early
identified
can
used
potential
donors
develop
cultivars.
Language: Английский
Assessment of Genetic Variability and Trait Associations in Chickpea (Cicer arietinum L.) Germplasms for Targeted Breeding Strategies
Himakara Datta Mandalapu,
No information about this author
Shubham Yadu,
No information about this author
Kanushree Nandedkar
No information about this author
et al.
Journal of Advances in Biology & Biotechnology,
Journal Year:
2024,
Volume and Issue:
27(12), P. 208 - 220
Published: Dec. 14, 2024
Chickpea
(Cicer
arietinum
L.)
is
a
pivotal
legume
crop
with
substantial
contributions
to
global
food
security
and
agricultural
sustainability
due
its
high
protein
content,
adaptability
nitrogen-fixing
ability.
The
efficiency
of
breeding
programs
in
enhancing
chickpea
productivity
resilience
relies
heavily
on
understanding
utilizing
genetic
variability
within
the
germplasm.
This
study
investigates
extent
among
forty-three
genotypes,
focusing
key
traits
such
as
number
pods
(NPP),
biological
yield
(BY),
harvest
index
(HI),
days
flowering
(DTF),
maturity
(DTM),
that
influence
other
agronomic
characteristics.
Analysis
variance
showed
significant
genotypes
for
various
traits.
Higher
phenotypic
coefficients
variation
(PCV)
compared
genotypic
(GCV)
indicated
presence
environmental
influence,
particularly
like
per
plant
(NPP)
(BY).
High
heritability
was
observed
(DTF)
while
advance
percent
mean
(GAM)
varied,
indicating
additive
gene
action
some
Correlation
path
analysis
revealed
positive
relationships
between
plot
Days
Flowering
height
(PH),
(HI).
Principal
component
(PCA)
cluster
diversity,
grouping
into
clusters
identifying
top
performers
GJG1801
NBEG
924.
emphasizes
importance
programs,
aiding
selection
elite
targeted
improvement.
Language: Английский
DUS-Based Morphological Profiling and Categorization of Chickpea (Cicer arietinum L.) Genotypes
Current Journal of Applied Science and Technology,
Journal Year:
2023,
Volume and Issue:
42(40), P. 20 - 36
Published: Nov. 1, 2023
In
the
realm
of
plant
breeding,
genetic
diversity
stands
as
a
pivotal
factor
for
advancing
crop
improvement
initiatives.
Morphological
characterization
assists
critical
role,
allowing
scrutiny
discernible
traits
in
plants
this
facilitates
identification,
classification,
and
comprehension
variations
present
among
diverse
genotypes.
The
objective
investigation
was
to
scrutinize
morphological
71
chickpea
genotypes,
with
particular
emphasis
on
10
selected
qualitative
traits,
adherence
DUS
testing
guidelines.
experimental
design
employed
randomized
complete
block
(RCBD)
three
replications
at
Research
Farm,
Department
Genetics
&
Plant
Breeding,
College
Agriculture,
RVSVV,
Gwalior,
Madhya
Pradesh,
India
during
Rabi
2021-22.
Among
parameters
investigated,
exhibited
consistent
dimorphic
phenotype,
six
displayed
distinct
phenotypes
(trimorphic),
only
one
trait
manifested
more
than
phenotypic
(polymorphic).
genotypes
showed
substantial
amount
variability,
demonstrating
potential
assigning
profiles
varietal
identification
characterization.
Remarkably,
such
foliage
flower
color
seed
shape,
high
level
within
investigated
employing
Shannon's
indices.
This
comprehensive
not
contributes
understanding
landscape
but
also
provides
valuable
insights
selection
breeding
programmes
future.
Language: Английский
Agro-Morphological Exploitation of Genetic Diversity and Multivariate Analysis of Indigenous Chickpea (Cicer Arietinum L.) Germplasm
Dattesh Tamatam,
No information about this author
Manoj Kumar Pandey,
No information about this author
Bijendra Kumar
No information about this author
et al.
Journal Of Advanced Zoology,
Journal Year:
2023,
Volume and Issue:
44(S-5), P. 1711 - 1719
Published: Nov. 1, 2023
For
most
of
the
examined
variables,
there
was
significant
variation
between
germplasm
lines.
Independent
their
breeding
locations,
genotypes
under
study
were
grouped
into
seven
clusters
by
genetic
diversity
analysis.
Cluster
I
contained
genotypes,
24
and
fewest
in
V
VII,
which
solitary.
In
contrast,
cluster
II
held
10
III
had
7,
IV
VI
could
each
hold
4
genotypes.
Clusters
greatest
inter-cluster
distance,
indicated
that
diversity.
According
to
principal
component
analysis
(PCA),
Four
first
fourteen
PCs
eigenvalues
greater
than
one.
PC
1
alone
accounted
for
highest
variance
33.1%,
followed
2
with
21.7%.
The
outcomes
this
investigation
might
be
used
as
a
foundation
defining
implementing
subsequent
chickpea
initiatives.
Seed
Yield,
Number
Secondary
Branches,
Harvest
Index,
biological
yield,
test
weight,
number
seeds
per
pod,
filled
pods
plant
all
found
variable
biplot.
Language: Английский