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- Spring 1995 "Update" Newsletter Article -
Program projects crop
alternatives
From CATI Publication #950401
Copyright © 1995. All rights reserved.
Following a winter of heavy rains and flooding in California,
restrictions on the use irrigation water may be the least of the concerns
of San Joaquin Valley farm producers for the 1995 growing
season.
Nevertheless, water shortages have been and will
likely continue to be a recurring problem as annual weather seasons
vary and the state's population continues to grow.
To help
address that anticipated problem, a CSU, Fresno agribusiness researcher
has used a high-powered software package to project profitable
production scenarios in response to irrigation water shortages in the
western San Joaquin Valley.
Agricultural economics professor James Cothern has included the production
scenarios in a
recently-produced publication entitled "Economics of Crop production
with Surface Water Reduction Alternatives: Westlands Water
District."
The report considers scenarios in which
water deliveries to Westlands Water District from the federal Central
Valley Project are reduced by eight amounts ranging from 25 to 50
percent. Cothern uses records of recent crop production levels and
prices to determine which crop combinations would be most profitable
under different irrigation water reduction scenarios.
Certain
considerations, such as water use by different crops and possible price
changes due size of yield, make the issue of profitability extremely
complex, especially since there are 19 crops traditionally grown on the
500,000 acres comprising the Westlands Water District area, Cothern
notes. That's where computer software becomes very useful.
"A properly constructed linear program has the ability to
evaluate a very large number of alternative enterprise combinations and
find those that yield the greatest possible net return," he said.
The software used for the analysis was developed with an
optimizing program contained within Quattro Pro for Windows ver. 5.0®
(QPW).
In order to obtain the most accurate profit
projections possible, Cothern constructed a "normal" base model
incorporating four-year moving averages of acreage, yields, and prices.
"We systematically looked at the district historic economic picture as
compared to projections of that which would occur with reductions in
the future water supplies," he said.
The technique used to make the projections, linear
programming, was formulated to solve a special set of conditions:
1) a desire to maximize profit or minimize costs, called the objective
function;
2) a set of activities or processes within the model which
accomplishes this objective; and
3) a set of constraints or restrictions which limit the ability to
accomplish this objective.
Specific results from the
projections include a wide range of crop combinations outlined in
various tables in the report. Some general conclusions drawn from the
software include the following:
1) Cotton is the dominant crop in the district and few
alternatives exist as substitutes for the current acreage devoted to its
cultivation.
2) Alfalfa and grain production are the most vulnerable to a
combination of water supply diminishment and/or cost increases.
3) Fruit, nut and vegetable production are the least
vulnerable to changes in water costs, but demand considerations limit
expansion of these crops as replacements for reductions in cotton
acreage.
4) High-risk vegetable crops, like cantaloupes, exhibit
extreme price variability, limiting their ability to displace institutionally
stable crops like cotton, sugar beets, tomatoes and onions.
5) Expansion in grain production offers an acreage
expansion possibility in the event cotton production is curtailed, but
substantial declines in district net receipt would still occur.
Copies of the report are available from the California Agricultural
Technology Institute. For ordering information, see the Publications
Available form on Page 7.
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- { CATI
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- Current Projects , CAB
- "Update" Newsletter , "Update"
Newsletter - 1995 }
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Copyright © 2000. All rights reserved.
CALIFORNIA AGRICULTURAL TECHNOLOGY INSTITUTE - CATI
College of Agricultural Sciences and
Technology
California State University, Fresno
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