|
The
engine that drives private enterprise is profit. Whether it be to
eke out a subsistence or to earn a cash income, a farmer is motivated
by return on investment. Therefore, whatever tactics we use in integrated
pest management, the benefits must outweigh the costs.
Crop
loss and reference yield
A
grower takes a particular pest control action to prevent an anticipated
crop loss. Generally one cannot recoup losses that have already
occurred, and pest control measures are not usually taken for vengeance!
Prevention implies a certain predictive capability, and most often
the prediction is based solely on the experience of the farmersthey
know that if they see a particular pest and do not do something
about it, they will soon suffer a loss. Unfortunately, growers predictive capabilities are often limitedthey may overreact,
or they may fail to react in time or with sufficient force.
To
predict a crop loss, a reference yield
is necessary. (Yield is used in the broad sense here
to include both amount harvested and qualityperhaps yield
in dollars.) What can one reasonably expect the yield to be in the
absence of constraints?
| Yield |
Reference
Yield |
Description |
| High
Low |
Theoretical
Yield |
- Calculated
by plant physiologists
- Approached
in plant breeding programs
|
| Attainable
Yield |
- Yield
with all stresses on crop (constraints) removed
- Limited
by the genes of a crop in a particular environment
- Approached
in small, experimental plots
|
| Actual
Yield |
Yield
obtained on farmers fields using local practices
and inputs
|
| Economic
Yield |
- Depends
on market value of crop and cost of production
- May
be above or below actual yield
- Occurs
where the profit is maximized
|
| Primitive
Yield |
- Little
or no inputs
- e.g.,
subsistence agriculture
|
| (Adapted
from Zadocs
and Schein, 1979) |
The
difference between the attainable yield and the theoretical yield
is an unpreventable loss, whereas the difference between
the actual yield and the attainable yield is a preventable loss.
One can usually determine attainable yield experimentally. We must
grow the crop free of constraints (e.g., pests). We attempt to push
the actual yield up to the attainable yield (preventable loss).
Making the actual yield the same as the attainable yield is not
always economically rational. Ideally the actual yield should be
the same as the economic yield.
Direct
and indirect loss
It
is useful to conceptualize crop loss as either direct or indirect.
Direct loss occurs when the
saleable commodity itself is affected by the pest. The loss can
be one of quality, quantity, or both. Apple scab is an example of
a direct pest that reduces the
quality of the marketed product, and the bean weevil is an example
of a direct pest that reduces both quantity and quality of dry beans
and peas in storage. Direct loss is generally proportional to the
pest population density at low densities and approaches an upper
limit (often 100%) as the pest population increases.
|
|
| Figure
1. Direct Loss. The proportion of the loss increases linearly
with pest density at first. Then it asymtotically approaches one. |
Indirect
loss occurs when the pest attacks plant
parts other than the marketable product but reduces the yield and/or
quality of the product. An indirect pest may have one or more of
the following effects on the plant:
- Reduction
of photosynthetic area
- Diversion
of photosynthate
- Reduction
in photosynthetic rate
- Reduction
in net assimilation
- Increase
in respiration rate
- Upset
of water balance
Crop
lossthat is, the quantitative nature of the yield response
to pest population densitycan vary widely from one crop species
to another and from pest to pest within the same crop. At very low
pest population densities, there is often no measurable yield loss,
but when the pest density gets high enough, the yield begins to
decline steeply. At very high pest densities, the yield may drop
to zero, or it may level out at a low level.
Sometimes
low levels of pest damage can slightly enhance yield . This can
occur, for example, in crops where the lower leaves are heavily
shaded by the top of the canopy, and a slight pruning of the upper
leaves by a foliage feeder allows greater light penetration into
the lower canopy.
|
|
| Figure
2. Indirect Loss. The response to pest density can follow
one of several different patterns, depending on the crop
and the pest. |
Multiple
pests can interact synergistically to reduce yields, or they can
interfere with one another so that the yields with both pests present
can actually be higher than would be obtained with either pest alone
at the same density.
The
crop loss or yield functions can change at different stages of crop development, and the final
yield (quality and quantity) at harvest can be affected both by
brief episodes of pest damage and by the cumulative effects over
the season. The crop loss and yield functions can also be affected
by factors in the physical environment (temperature, rainfall, cultural
practices, etc.).
Pest-resistant
cultivars
The
crop loss or yield functions also vary with cultivars that have
different levels of pest resistance. It is not uncommon to find
primitive cultivars or landraces that may not be as high yielding as so-called "improved" cultivars
if pest populations are kept low, but which can outproduce an improved
cultivar when the pest pressure is high.
|
|
| Figure
3. The effect of pest resistance. The yield response to
pest population density may be different for different cultivars.
|
Control
actions and yield
Crop
loss and yield functions can be used to evaluate the effects of
pest control measures that abruptly change pest populations (pesticides,
sanitation measures, etc.) One first must have a model that predicts
the pest population dynamics with and without the control measure.
|
|
| Figure
4. Pest population dynamics. The increase in pest population
density may be abruptly reduced by a control action, such
as the application of a pesticide. Loss should be evaluated
at the point shown because________________________________. |
Using
this prediction of the controlled and uncontrolled pest population
densities combined with the yield response
functions, we can then estimate the yield loss that would
be prevented by the control action.
|
|
| Figure
5. Evaluating the impact of a control action. The predicted
yield in the presence of a high pest population (uncontrolled)
is subtracted from the predicted yield when the pest is
controlled. Doing so gives an estimate of the loss prevented
by the control action. |
Modeling
yield with computers
Taken
together, all the possible interactions of pest population dynamics,
crop development, environmental variables, and management options
to predict crop loss or yield is complex. However, this problem
can be broken into its components, which are relatively straightforward
quantitative relationships. The set of equations generated by this
approach can then be solved numerically in an appropriately designed
computer simulation. With a model that simulates pest and crop development
with reasonable fidelity, "field experiments" can be run on the
computer and used as an analytical tool to develop management models.
|