Detecting Drought And Nutrient Stresses
Research hypothesis: Simultaneously testing
for drought and nutrient stresses will lead
to improved real-time fertility recommendations
as well as provide a check on irrigation
management. Better fertility recommendations
will improve profitability and reduce the environmental
risks associated with excessive fertilizer
application.
Applying nitrogen (N) in excess of crop needs
results in unused soil N and increased potential
for N loss. Unused N can move to groundwater,
to surface waters, or denitrify from the soil into
atmospheric greenhouse gases. Other plant nutrients
in agricultural runoff have also been
linked to water-quality problems such as eutrophication
of lakes.
Research is currently being conducted in Missouri
and other states to develop recommendations
for cotton sidedress N based on real-time
reflectance sensor measurements. A typical system,
adapted from successful systems for wheat
and corn, has one or more reflectance sensors
(e.g., GreenSeeker; mention of trade names or
commercial products is solely for the purpose of
providing specific information and does not
imply recommendation or endorsement by the
U.S. Department of Agriculture) above the row.
The observed reflectance is compared to reflectance
from plants with sufficient N to estimate
the additional N needed. However, there is
general agreement among researchers from several
states that additional information is needed
to refine the current recommendations.
Drought stress has been observed to affect the
utility of the reflectance measurements for N,
and even with irrigated crops irrigation is often
delayed to allow time for pesticide and/or fertilizer
applications. The ability to determine what
part of the observed response is due to drought
stress should lead to more reliable N recommendations.
Furthermore, even though measurements
won't generally occur often enough to
serve as the primary method for scheduling irrigation,
they could function as a check on whatever
method is used.
Temperature of the crop canopy is strongly affected
by drought stress and in arid regions it
can be the basis for irrigation scheduling. The
Crop Water Stress Index (CWSI), derived from
canopy temperature and other climatic measurements,
has not been as reliable in the Mid-
South, where cloud interference is more
common. However, canopy temperature and climatic
data could indicate areas of drought
stress, even without a dependable CWSI. Therefore,
additional sensors were added to measure
spatially referenced canopy temperature as well
as the temperature and relative humidity of the
air above the cotton crop.
Although nitrogen is not generally applied to
legume crops like soybean, other nutrient deficiencies
can impact growth and yield. Therefore,
the study also includes soybeans grown in a
potassium-deficient field. Based on the observations
from this study, future plans include looking
at other crop stressors such as diseases and
nematodes to further identify the causes of any
observed stresses and allow for more effective
treatment. Δ