Impact of planting dates and seeding densities on soil water depletion pattern, root distribution, and water productivity of industrial hemp
Farming System,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100152 - 100152
Published: April 1, 2025
Language: Английский
Effects of drip tape placement position and dripper type on root distribution, N use efficiency and yield of cotton under drip irrigation in Xinjiang, China
Kai Liu,
No information about this author
Shaohua Liu,
No information about this author
Huan Liao
No information about this author
et al.
Field Crops Research,
Journal Year:
2025,
Volume and Issue:
327, P. 109894 - 109894
Published: April 8, 2025
Language: Английский
Introducing soybean into maize fields improves responses of maize canopy and root architecture to light and water utilization under different irrigation levels
Plant and Soil,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 29, 2025
Language: Английский
Effects of leaching amounts and drip irrigation types on water-salt distribution and seed cotton yield in northern Xinjiang, China
Field Crops Research,
Journal Year:
2025,
Volume and Issue:
328, P. 109947 - 109947
Published: May 1, 2025
Language: Английский
Modelling Cotton Growth Dynamics, Yield, and Water Use Efficiency in Xinjiang Agricultural Systems
Kai Wei,
No information about this author
Shudong Lin,
No information about this author
Quanjiu Wang
No information about this author
et al.
Journal of Agronomy and Crop Science,
Journal Year:
2025,
Volume and Issue:
211(3)
Published: May 1, 2025
ABSTRACT
Cotton
(
Gossypium
hirsutum
L.)
yield
Y
)
generally
depends
on
the
plant
height
H
),
leaf
area
index
(LAI),
dry
matter
accumulation
D
and
water
consumption
W
of
entire
growing
period.
Growing
degree
days
(GDD)
is
an
important
meteorological
factor
affecting
these
growth
indicators.
This
paper
establishes
a
relative
logistic
model
,
LAI
based
R
GDD
analyses
spatial
variability
characteristics
parameters.
The
influence
parameters
harvest
(HI)
are
determined
using
grey
relational
analysis.
A
series
cotton
mathematical
models
then
proposed
maximum
(LAI
max
.
results
reveal
that
rates
were
maximised
when
0.43,
0.56
0.67,
respectively.
coefficient
variation
parameter
ranges
from
0.1
to
1.0,
indicating
medium
variability.
HI
reach
values
0.343
7236.464
kg/ha
for
5.046
5.949
cm
2
/cm
corresponding
required
as
489.606
mm
497.978
mm,
while
use
efficiency
(WUE)
14.686
kg/(ha·mm)
14.532
kg/(ha·mm),
Furthermore,
range
2.719
7.225
455.957
642.688
study
provides
scientific
foundation
enhancing
WUE
in
agricultural
regions
Xinjiang.
methods
enable
prediction
with
improved
accuracy.
Language: Английский