Enhanced early growth rates in high cumulative temperature requirement maize (Zea mays L.) varieties drive superior production potential in rainfed North China Plain
Journal of Agriculture and Food Research,
Год журнала:
2025,
Номер
unknown, С. 102044 - 102044
Опубликована: Май 1, 2025
Язык: Английский
Fostering adaptation to climate change among farmers in Pakistan: the influential role of farmers’ climate change knowledge and adaptive capacity
Frontiers in Sustainable Food Systems,
Год журнала:
2024,
Номер
8
Опубликована: Окт. 3, 2024
Introduction
Adaptation
to
climate
change
(ACC)
is
imperative
avoid
deleterious
consequences
of
in
agriculture.
However,
the
uptake
adaptation
measures
has
been
slow
among
farmers
because
low
adaptive
capacity
(AC)
developing
countries,
particularly
Pakistan.
Farmers
and
their
supporting
institutions
have
successful
introducing
technological
innovations
respond
adapt
environmental
challenges.
The
present
study
intended
determine
impact
farming
technologies,
along
with
human,
financial,
social,
physical,
natural,
information
resources
that
support
AC
hence
ACC.
Methods
collected
data
from
360
Punjab
through
a
multi-stage
random
sampling
technique.
A
binary
logit
model
odds
ratio
were
used
identify
factors
affecting
also
utilized
correlation
tests
show
between
each
pair
variables
included
analysis.
Results
results
indicated
physical
capital
such
as
ownership
tube
wells,
transportation,
sowing
harvesting
tools
by
builds
farmers’
consequently
determines
ACC
crop
variety
(CCV),
type
(CCT),
planting
date
(CPD),
soil
conservation
(SC),
water
(WC),
diversification
strategies
(DSs).
findings
revealed
human
(age,
education,
family
size,
labor),
financial
(off-farm
employment,
access
marketing
produce,
agricultural
credit),
social
(farmers-to-farmers
extensions,
extension
services,
farm
association
membership),
natural
(land
ownership,
tenancy
status,
location
farm)
importantly
related
households’
strategies.
(likelihood)
higher
for
users
technology
compared
non-users.
Discussion
analysis
conducted
this
showed
amplify
change:
allows
be
much
more
efficient,
while
knowledge
(CCK)
self-motivates
adopt
measures.
Our
provide
evidence
suggests
need
credits
technologies
speed
up
long
run,
short
should
spread
communities.
Язык: Английский
Modeling the Effects of Sowing Dates on Maize in Different Environments in the Tropical Area of Southwest China Using DSSAT
Agronomy,
Год журнала:
2024,
Номер
14(12), С. 2819 - 2819
Опубликована: Ноя. 27, 2024
Maize
yield
is
affected
by
meteorological
conditions
and
cultivation
management.
Sowing
date
adjustment
one
of
the
most
commonly
used
management
methods
for
achieving
a
high
maize
in
tropical
area
Southwest
China.
This
study
conducted
field
experiments
involving
five
cultivars
with
different
sowing
dates
Yunnan
Province
from
2012
to
2015.
The
parameters
CERES
model
decision
support
systems
agrotechnology
transfer
(DSSAT)
were
calibrated,
its
adaptability
was
validated.
applied
simulate
analyze
growing
period
over
12
years
(2012–2023)
results
show
that
DSSAT-Maize
demonstrates
good
southwestern
region
predictions
flowering,
maturity,
compared
measured
values,
yielding
R2
values
0.62,
0.64,
0.92,
d-index
0.86,
0.87,
0.97,
normalized
root-mean-square
errors
(nRMSEs)
4.53%,
2.92%,
6.37%,
respectively.
verified
assess
effects
on
yield.
between
15
May
29
resulted
relatively
higher
yields
lower
coefficients
variation.
whole
season
shortened
1.13
days,
decreased
3%
every
7
days
ahead
before
early
May.
A
delayed
planting
after
June
had
positive
effect
yields,
an
average
increase
4%
per
delay.
significantly
positively
correlated
rainfall
during
vegetative
solar
radiation
reproductive
period;
meanwhile,
it
negatively
maximum
temperature
period.
concluded
influenced
maize’s
growth
Delaying
can
help
achieve
mainly
because
leads
insufficient
period,
while
ensures
adequate
total
radiation.
Язык: Английский