Globally,
agricultural
systems
face
the
complex
challenges
of
producing
enough
food,
fiber,
and
fuel
to
sustain
a
growing
population
while
mitigating
negative
environmental
consequences
intensive
management.
To
that
end,
optimizing
nitrogen
(N)
fertilizer
management
has
become
major
focus,
as
it
is
commonly
most
limiting
nutrient
maximizing
cereal
crop
growth,
over-application
increases
potential
for
reactive
N
leach
into
groundwater
be
emitted
potent
greenhouse
gas.
The
goals
this
dissertation
were
1)
quantify
interannual
changes
economic
optimum
rate
enhancing
our
understanding
tradeoff
between
production
degradation;
2)
improve
capacity
process-based
model
simulate
yield
response
rate;
3)
rank
sensitivity
individual
environmental,
management,
genetic
factors.
meet
goals,
we
used
modeling
measured
grain
yields
from
14
long-term
maize
experiments
across
Iowa
Illinois,
USA,
thereby
allowing
us
temporal
trends
rates
provide
systems-level
analysis
using
modeling.
Analysis
these
data
revealed
have
been
increasing
over
time
by
2.06
2.80
kg
ha-1
yr-1
continuous
following
soybean
rotation
reducing
below
mitigate
effects
application
will
more
severe
on
than
reductions
in
losses.
Moreover,
solution
models
reproduce
penalty
identify
bias
associated
with
fitting
simulated
curves
leading
lower
predict
relative
(RRMSE
=
33
19%).
Further
complicating
prediction
rate,
determined
genetics,
environment
similar
contributions
annual
rate.
This
serves
benchmark
guide
future
research
priorities
toward
inform
recommendations,
research,
policy
decisions.
Abstract.
Nutrient
budgets
help
to
identify
excess
or
insufficient
use
of
fertilizers
and
other
nutrient
sources
in
agriculture.
They
allow
calculation
indicators
such
as
the
balance
(surplus
deficit)
efficiency
that
monitoring
agricultural
productivity
sustainability
across
world.
We
present
a
global
database
country-level
budget
estimates
for
nitrogen
(N),
phosphorus
(P)
potassium
(K)
cropland.
The
database,
disseminated
FAOSTAT,
is
meant
provide
reference,
synthesizing
continuously
updating
state-of-the-art
on
this
topic.
covers
205
countries
territories,
well
regional
aggregates,
period
1961
2020.
Results
highlight
wide
range
efficiencies
geographic
regions,
nutrients,
time.
For
year
2020,
data
show
average
N
surpluses
from
about
10
kg
ha-1
year-1
Africa
more
than
90
Asia.
Furthermore,
they
P
K
deficits
2020
Americas.
This
study
introduces
improvements
over
previous
work
relation
key
coefficients
affecting
estimates,
especially
removal
crop
products,
manure
content,
atmospheric
deposition
biological
fixation
rates.
conclude
by
discussing
future
research
directions,
highlighting
need
align
statistical
definitions
groups,
further
refine
plant
livestock
expand
all
land,
including
flows
meadows
pastures.
Abstract.
Nutrient
budgets
help
to
identify
excess
or
insufficient
use
of
fertilizers
and
other
nutrient
sources
in
agriculture.
They
allow
calculation
indicators
such
as
the
balance
(surplus
deficit)
efficiency
that
monitoring
agricultural
productivity
sustainability
across
world.
We
present
a
global
database
country-level
budget
estimates
for
nitrogen
(N),
phosphorus
(P)
potassium
(K)
cropland.
The
database,
disseminated
FAOSTAT,
is
meant
provide
reference,
synthesizing
continuously
updating
state-of-the-art
on
this
topic.
covers
205
countries
territories,
well
regional
aggregates,
period
1961
2020.
Results
highlight
wide
range
efficiencies
geographic
regions,
nutrients,
time.
For
year
2020,
data
show
average
N
surpluses
from
about
10
kg
ha-1
year-1
Africa
more
than
90
Asia.
Furthermore,
they
P
K
deficits
2020
Americas.
This
study
introduces
improvements
over
previous
work
relation
key
coefficients
affecting
estimates,
especially
removal
crop
products,
manure
content,
atmospheric
deposition
biological
fixation
rates.
conclude
by
discussing
future
research
directions,
highlighting
need
align
statistical
definitions
groups,
further
refine
plant
livestock
expand
all
land,
including
flows
meadows
pastures.
Globally,
agricultural
systems
face
the
complex
challenges
of
producing
enough
food,
fiber,
and
fuel
to
sustain
a
growing
population
while
mitigating
negative
environmental
consequences
intensive
management.
To
that
end,
optimizing
nitrogen
(N)
fertilizer
management
has
become
major
focus,
as
it
is
commonly
most
limiting
nutrient
maximizing
cereal
crop
growth,
over-application
increases
potential
for
reactive
N
leach
into
groundwater
be
emitted
potent
greenhouse
gas.
The
goals
this
dissertation
were
1)
quantify
interannual
changes
economic
optimum
rate
enhancing
our
understanding
tradeoff
between
production
degradation;
2)
improve
capacity
process-based
model
simulate
yield
response
rate;
3)
rank
sensitivity
individual
environmental,
management,
genetic
factors.
meet
goals,
we
used
modeling
measured
grain
yields
from
14
long-term
maize
experiments
across
Iowa
Illinois,
USA,
thereby
allowing
us
temporal
trends
rates
provide
systems-level
analysis
using
modeling.
Analysis
these
data
revealed
have
been
increasing
over
time
by
2.06
2.80
kg
ha-1
yr-1
continuous
following
soybean
rotation
reducing
below
mitigate
effects
application
will
more
severe
on
than
reductions
in
losses.
Moreover,
solution
models
reproduce
penalty
identify
bias
associated
with
fitting
simulated
curves
leading
lower
predict
relative
(RRMSE
=
33
19%).
Further
complicating
prediction
rate,
determined
genetics,
environment
similar
contributions
annual
rate.
This
serves
benchmark
guide
future
research
priorities
toward
inform
recommendations,
research,
policy
decisions.