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2z. o57
Economic Analysis of a Paraguayan Small Farm in Calle Asuncion
Paul Litow
AEB 5167, Economic Analysis of Small Farms
P. Hildebrand
Introduction
The objectives of this analysis are to familiarize the reader with some general
characteristics of small-scale farms found in north-central Paraguay, discuss some of
the problems facing those farms, offer some viable solutions to those problems using
linear programming, and critiquing the results of the analysis. A schematic model and
gender analysis will help explain the underlying basis of the system and the model will
attempt to demonstrate how the family studied here can best use their resources to
maximize their income.
General Country Description
Paraguay, a small country about the size of California, is situated in the Southern Cone
of South America and shares borders with Bolivia, Argentina and Brazil. It is divided in
two parts by the Rio Paraguay (see Figure 1). The western part is the Chaco, a
swampy to arid plain, and the eastern part a flat to rolling forested area. Over 90% of
Paraguay's 4.8 million citizens live in the eastern part of the country. Within this
region, rainfall is plentiful and soils range from heavy in the south and east to sandy in
the north and west. Soil fertility is very poor in the southern, long-settled areas and
higher in the newer, north and central and eastern parts of the region.
The country's population growth rate is 3.1% annually, 51% of the population is
under the age of 20, and the average annual income is estimated at $1570. The
average family size is six members.
Paraguayan agriculture employs 43% of the labor force, but due to poor
economic livelihood on farms, many farmers and their older children are migrating to
urban areas in search of work. In the case of small families, labor becomes severely
2
constrained and thus lowers farm productivity. Paraguayan agriculture also faces
problems with soil erosion, declining soil fertility and crop yields, price instability and
declining prices for cotton, the main cash crop. There is also a lack of technical
assistance available to farmers from the Ministry of Agriculture's agricultural
extensionists.
Farm Structure
The farms described here are found in the area just east of the Rio Paraguay.
The farms and topography of this region vary distinctly. In the southern parts of
Paraguay that have been settled for over a century, land is generally not laid out in
square plots, soil fertility is poor, and families often do not live on their land. The
topography of southern Paraguay is flat to gently rolling and has some small
mountains. Conversely, in the northern, more recently settled areas of the country,
land is laid out in rectangular parcels, soil fertility is higher, families generally live on
their land, and the topography is gently rolling.
The farm examined in this analysis is found in the community of Calle Asuncion,
some 250 km northeast of Asuncion (the capital), and has been farmed for about 25
years. A road fronts the house lot and the farm is behind it (Figure 2). Houses are
usually made of wood and have thatched or tiled roofs. The kitchen is typically found
behind the house and doubles as a storage area and granary. Cooking is done with
wood and a small garden and citrus trees are usually found on the house lot. Walking
towards the back of the farm, one passes through fields of increasing fertility. Land
closest to the house, "kokuere," is the oldest land on the farm and is usually used for
pasture. "Kokue" is land that has been farmed for about 6-15 years, and what is not in
3
fallow will have food crops growing in it. "Capuera," is land that has been farmed for 3-
5 years and "rosado," is recently cleared land that has been farmed for 1-2 years.
Cash crops are grown in rosado and capuera. Forest will be found next to the rosado if
the farmer has not completely cleared his land. Farm sizes vary from 5-20 ha.
Because most farmers in Calle Asuncion still have forest, fertile soils are not
presently a production constraint. An inevitable problem will need to be addressed in
the future when forested lands are exhausted and soil fertility becomes an issue. At
present, chemical fertilizers are very expensive and usually unavailable to small
farmers.
Crop and Animal Mix
The Paraguayan climate is subtropical, thus allowing a wide variety of fruits,
vegetables, small grains and other crops to be grown. Specialty crops are grown
commercially in specific regions of the country where established markets, processing
plants and favorable transportation systems are located. For example, bananas and
pineapples are grown in the north-central part of the country while sugarcane is raised
in the south. Although these crops are grown on many farms in Calle Asuncion, they
are not treated as cash crops nor are they relied upon as a critical part of the families'
diets because of heavy winter frosts. More typically one will find the following crop and
livestock mix on a farm (Figure 3):
Cash crops
Cotton has been the main cash crop since its introduction to Paraguay some
twenty years ago. Initially it was an attractive cash crop; few inputs were required,
labor was plentiful and its price was subsidized by the Paraguayan government. Since
4
1989, however, price supports have been removed and farmers have been forced to
compete on the open market. Additionally, cotton prices and yields have declined over
time, and several years of volatile prices and poor weather have forced many farmers
look at crop diversification schemes involving traditional and non-traditional crops.
Cotton is cultivated by hand and with animal traction and is grown in kokue, capuera
and rosado land. It is very labor intensive, increasingly expensive to raise, and has
many insect pests.
Tobacco is the second most important cash crop and is also very labor intensive.
Because it requires highly fertile soils, a farmer will clear .5-1 ha. of forest to grow
tobacco for one or two years, after which he will plant cotton. For this reason, tobacco
is rarely grown in capuera soils or in regions of the country where soils are exhausted.
Food crops
White dent, white flint, and yellow flint maize are all raised for human and animal
consumption. The white dent and flint maizes are for family consumption and the
yellow flint is fed to animals. The white maizes require 115-120 days to mature, and as
a result are only grown once a year. Yellow flint maize matures in 90 days and can be
planted twice a year. Few people plant maize between the months of November and
July. Summer weather is very hot and the sandy soils dry out quickly while winter
frosts often frustrate efforts to raise a second crop. Peanuts, dry beans, and mandioca
(cassava) are also all raised in smaller amounts for family consumption. All of these
crops are grown in capuera and kokue land. Maize and mandioca are sometimes
intercropped with each other or with other crops.
Winter forage crops
Sugarcane or Cameroon grass are grown in small parcels on kokuere or kokue
land for winter forage. It is cut and carried to where the animals are tethered.
Livestock
Cattle are used for milking and traction and are sold only if the need for cash is
absolutely necessary, or if the family is replacing a cow or ox. Swine are also sold from
time to time as necessity requires, but are usually consumed by the family on holidays
and other special occasions. Chickens, a source of eggs and meat for the family, are
almost never sold. During the day, cattle are tied out to graze on kokuere land or along
the road while chickens and swine are free-ranging. Chickens are sometimes fed
maize and swine are given inedible food leavings. At times they will be fed a mixture of
cooked maize and mandioca. Cattle survive on grass throughout the spring, fall and
summer and are fed sugarcane or Cameroon grass in the winter.
Fruits and vegetables
Oranges, mandarin oranges and grapefruit are found on almost every house lot,
but because they rarely enter the picture as cash crops, do not require any labor, and
are not relied upon as a source of food, they will be left out of this analysis. Lettuce,
onions, tomatoes, and cabbage are grown in capuera or kokuere land or in a garden.
Families usually work in them on rainy days when they are not in the field. Additionally,
vegetables are planted in very small amounts, require minimal time for weeding and
care, and are not considered by families as crucial to their survival. For these reasons,
vegetables do not appear in this analysis either.
By referring to the calendar of activities and the activities analysis (Figures 4
and 5), one can see the breakdown of labor by gender related to crop and animal
production. Men and older male children generally perform the majority of the planting,
crop maintenance, and harvesting tasks. Oxen provide the traction for plowing and
cultivating and pull carts to transport harvested crops from the fields. Women and
older female children assist with the some field tasks during periods when extra labor is
needed, but usually have little time to do so. They are responsible for all aspects of
running the household, child care, and caring for the majority of the livestock. Women
control and budget the money flowing into the household from loans, crop and animal
sales.
Children usually attend school from the time they are 6 to 14 years of age. Few
continue on to high school, as it is costly, there is no perceived need for further
education (especially for women) and they are needed at home to work. Older boys
help in the fields upon returning from school, the younger ones performing light chores
around the farm such as feeding the cattle or tying them out to graze. Older girls help
care for younger siblings and help with household work. They also will, if needed,
perform field work such as thinning and harvesting cotton, harvesting mandioca, and
caring for livestock. Younger girls assist with light work around the household, feed the
chickens, and gather eggs.
Constraints
Many factors act as constraints on farm families in this community. While the
following list does not cover all of them, it does focus on those most important to this
analysis.
Labor becomes crucial at two times of the year (Figures 4 and 5): during the
spring when crops must be planted and existing crops must be maintained and in the
fall during cotton harvest. If the farmer is cultivating large amounts of crops, he is often
forced to hire labor in peak periods. If he does not have a son and has a large family,
or if his children are simply too young to help in the field, he again may be forced to
hire labor.
Capital is presently a constraint because the farm economy has become
increasingly cash driven over the past ten years. Farmers must buy inputs to raise
cash crops, purchase or replace equipment, and households regularly purchase
specialty products such as oil, flour, and rice. Additionally, families acquire
refrigerators, televisions, and expensive radios as more and more rural communities
receive electricity. This has exposed rural families to the world outside of their
communities, and as a result, they now crave and purchase expensive commercial
goods. This has further exacerbated the cash situation. It is not uncommon for mobile
vendors to show up in the spring just after farmers receive their crop production loans,
sell their products for cash or on credit, and return during the cotton harvest to collect.
If a farmer wishes to expand his present production, raise additional crops, or
produce value-added products, he must have access to capital. He can obtain credit
from banks, middlemen, patrons, and even cotton gins who are now selling seed and
insecticides. Interest rates vary from source to source-from 17 to 50 percent and
higher-or the farmer may be obliged to sell his crop to the provider. If he desires
credit from a bank, he must have title to his land or something of value to use as
collateral. Obviously each of these credit sources will place further economic
constraints on the family.
Access to regional and national markets, poor transportation, and a lack of price
stability are all interrelated and can effectively prevent small farmers from diversifying
outside of the traditionally grown cash crops. Due to declining cotton yields and
unstable prices over the past several years, many farmers would like to diversify their
cash crop mix. Unfortunately, the few regional markets that are near Calle Asuncion
cannot handle any great volume of product, do not pay competitive prices, and do not
purchase any specialty products. Furthermore, crops apart from tobacco and cotton do
not have built-in marketing systems. With cotton, for example, the buyer will come
directly to the farmer and pay cash, while with non-traditional cash crops the farmer
must seek a market, ship his product using expensive and unreliable transportation,
and sometimes wait days or weeks to be paid. Therefore, farmers are hesitant to try
crop mixes which do not guarantee immediate payment and ease of transportation.
Secondly, unstable prices affect farmers' willingness to try different cash crops.
Because price changes occur quickly in the central Asuncion market, the farmer often
becomes a victim of extreme price variability. If prices drop drastically the day they
arrive at the market, farmers have little choice but to accept the offered price.
Finally, farmers do not have the time or money to look for alternative markets.
Thus, they are forced to continue growing and selling traditional cash crops. Unless
they are willing to join a cooperative (and most of these are geared to cotton, tobacco
or sunflowers) or overcome their mistrust of each other and form their own mini-
cooperative, farmers' efforts to diversify into other crops will continue to be frustrated.
9
Linear Programming Analysis
The linear program used to model this farm is based on a 12 ha. operation.
Three hectares are kokuere, six are capuera, and one is rosado. The remaining land is
in forest. There are six family members. The older daughter and son work with their
parents after school and during the summer when classes are not in session. Their
labor has been added to their mother's and father's labor pools, respectively. The two
younger children's labor is minimal and is not examined here. All matrices used the
same inputs, quantities of those inputs, and were subjected to the same constraints
within the matrices themselves. With the exception of the last case, all matrices were
constrained in the optimizer or manipulated in the following ways in order to provide a
more realistic picture of what happened in each situation.
* Oxen, cows, and sows are integers.
* Because the boar does not produce anything and no consumption constraint relies
directly upon him, the optimizer was programmed to force one boar into the solution
both years.
* Dummy prices were used so that yearling piglets and yearling pigs would transfer to
the end (they are usually not sold).
* Yearling heifers and steers were sold the second year. In reality they would not be
sold until the third year because they are not fed grain. As a side note to this,
because of low fertility rates brought on by poor nutrition, the cows only calve every
two years and 10 percent of all calves die (hence the fractional amounts of calves in
the output tables).
The analysis is broken into four sections. Cash at the end of a two year period
was maximized in all cases. The first examines a traditional situation where the
farmer's cash crops are limited to cotton and tobacco. Input Table 1 demonstrates the
inputs and constraints put into the matrix which has not been included here due to its
size. In addition to the constraints described above, the matrix was prevented from
producing and selling corn and ka'a he'e, the two alternative cash crops considered
later in this paper. Output Table 1 shows the results of a two-year cash optimization.
In the first year 1.94 ha. of cotton is grown on capuera land and 1 ha. of black tobacco
is grown on rosado land. Year end income is $3180.22. In the second year, the
majority of cotton production shifts onto kokue land, with almost 3.5 ha. being
produced. Some cotton is grown again on capuera land and 2000 kg of black tobacco
are produced on rosado. Labor in the first year is constrained in the third quarter in the
case of the female and in the second as well. Male labor is not constrained the first
year but is in the third quarter due to the cotton harvest. Rosado land is the only type
of land constrained. All consumption constraints are met, but the family is not using all
available land or labor. Profit at the end of two years is $2561.57.
The second case examines what happens to the system if corn is introduced as
a cash crop. Again, the animal constraints appear in Output Table 2 and the matrix is
not allowed to produce ka'a he'e.
Maize is purchased by many feed mills, ranches and food processors and
requires few inputs (Input Table 2). If the multiple-outlet market fails, the maize can still
be consumed or fed to animals. With this cropping alternative, profit rises substantially
(Output Table 2) to $2847.88. White flint maize is grown and sold only in the first year,
11
with cotton production expanding in the second year to 3.43 ha. versus 1.94 in the first.
Evidently corn is not profitable enough. One ha. of black tobacco is grown both years
because it produces more per ha. than burley tobacco. The woman's labor is
constraining again in the third quarter of the first and second years and the male's in
the third quarter of year 2. Both models are quite similar; only corn production in year 1
of Output Table 2 is different.
The third scenario adds ka'a he'e, a plant indigenous to Paraguay. Literally
translated as "sweet weed," ka'a he'e is a natural sweetener that, when refined,
produces a powder 300 times sweeter than sugar. Although its buyers are few and
located in Asuncion, ka'a he'e holds promise at the present because it is in high
demand for export to Asia and thus has a stable price which has climbed over time.
Because it is light and relatively little is produced per harvest, it can be easily
transported. At the present time it requires no inputs other than labor. What labor it
does require is substantially less than cotton or tobacco, and only about $100 is
needed to purchase seed for 1 ha. the first year. After that, should the farmer choose,
he can produce his own seed at no cost. Ka'a he'e is a perennial plant and produces
at its peak for three to five years.
Output Table 3 demonstrates its profitability: for the first time in any of the
matrices, less than 1 ha of cotton, overall, is grown. As characterized by the former
examples, tobacco is grown the first year but not the second. Female labor
requirements stay about the same while male labor is maximized in the first quarter of
years 1 and 2 and the third quarter of year 3. This is probably due to the fact that corn
production more than doubles in year 2 and ka'a he'e area is almost doubled. By the
12
third year all ka'a he'e would reach its production maximum, and we can extrapolate
that cotton and/or tobacco production would decline further.
The final example is the same as above, only no constraints are placed into the
optimizer or matrix. Interestingly, less corn is grown in years 1 and 2 and no ka'a he'e
is planted in the second year, a notable difference. 1.23 ha. of cotton is grown in
capuera during the first year with production expanding to 2.01 ha. of kokue and .55 ha.
capuera cotton in year 2. 1 ha. of black tobacco is grown in rosado both years. Male
and female labor requirements change somewhat, the male's reflecting increased work
in cotton and tobacco production and the female's decreasing slightly to reflect less
time spent caring for animals, fractions of which are raised in this matrix. Referring to
pages 3 and 4 of the answer report attached to Dynamic Matrix 1, male labor is
constraining in the first quarter of year one and would remain a constraint unless he
had an additional 110 hours. A decrease of 87 hours would result in a change of the
production mix in this quarter because the year's production depends so completely
upon labor availability at this time. In year two the situation is less acute: an increase
of 37 hours would be necessary to eliminate the labor constraint and a 78 hour
decrease would change the year's income. Credit is a limiting factor in year 1 but not in
year 2 as enough income is generated and credit is no longer a necessity. Rosado and
capuera/kokue land are limiting in both years. In year one an extra $108 would be
generated if the family could cultivate 1.35 ha. more of capuera, and an extra $1241
would be generated if 1.08 ha. more of rosado were available. In year 2 an extra .70
ha. of rosado would provide the family with $1656 more. However, an interesting
situation arises with capuera and kokue land. In order to add $161 more to the family's
13
income, an extra 4.4 ha. of capuera and kokue land would be needed. In this case 3 to
4 ha. of land would become kokuere, or permanent fallow. This family, though, simply
doesn't have an extra 4 ha. Because a good portion of any given Paraguayan farm's
land goes out of production after the farmer clears new land, it could be argued that
use of green manure crops, better crop rotation, and more intensive and improved
cropping methods could increase yields and reduce the necessity for large tracts of
land, a third or more of which is not cultivated. The fact that corn, for example, can
yield from 5,000-7,000 kg per ha. in Paraguay while the average yield is only 1200 kg
per ha, speaks to this point.
Milk consumption (production) is also binding. For example, an extra 365 liters
(one cow) in year 2 would not increase income substantially, but would improve the
family's nutrition. There is no milk in the latter part of the third quarter and throughout
the fourth when the cows are dry. More forage and a system with one cow being
milked for the first six months of the year and the other during the latter part of the year
would resolve this problem. Labor is not binding in the fourth quarter when the most
forage would have to be cut daily, sugarcane and Cameroon grass do not require much
time for management through the growing season and they can be harvested year-
round.
Looking at page 6 of the same answer report, it is interesting to note that any
increase in cotton (rosado) production or a .46 ha. decrease will result in an income
drop of $1255. A similar situation would arise if burley tobacco were produced on
rosado, although the increases and decreases in land areas required to bring about
change are larger. While this does not definitively demonstrate the profitability of
14
raising ka'a he'e and corn in place of cotton and tobacco, it does indicate that they can
increase family income while spreading the risk involved with relying upon cotton and
tobacco as the sole sources of income. Moreover, this production mix can be achieved
within the family's labor and land constraints. Similar patterns are seen in year 1 on
page 5 of the answer report, although the amounts required to decrease year-end
income are larger because the ka'a he'e has not reached its full production capacity.
Looking at pages 1 and 2 of the answer report, an interesting pattern develops.
In year 1, income would only need to increase by relatively small amounts to justify
increased production of ka'a he'e and corn, while relatively large income changes
would be needed to increase cotton and tobacco production (with the exception of
capuera cotton in year 2). For example, income need only climb by $93.66 in year 1
and $3.94 in year 2 in order to change the production level of white flint corn. Looking
at ka'a he'e, a year 1 increase of $210.41 and a year 2 increase of the same amount
will change the production mix. In order to increase cotton production in year 1, income
would have to rise by $170.92 for kokue cotton, $1638.32 for capuera cotton and
$606.22 for rosado cotton. Year 1 black tobacco would never be grown regardless of
how much income increased. The exception in year 1 is burley tobacco, which would
only require an $84.80 increase in income to justify raising more. This shows that the
high-profit crops are favored in the matrix over those which have high input costs and
labor requirements. Except for black tobacco, cotton and burley tobacco in year 2
require lower income increases to justify raising their production, probably because so
much income is already being generated. It is notable that ka'a he'e planted in year 2
has a very low increment requirement, probably because it is quite profitable and
requires few inputs.
In year 1, however, income would not have to decrease very much in order to
affect the production levels of white flint corn, capuera cotton, or black tobacco which
would drop if income went down by $52.65, $64.81 and $84.80, respectively. In year 2
on page 2 of the answer report, income would have to drop $125.36 for white flint corn,
$1.33 and $167.98 for cotton grown in kokue and capuera, and $84.60 for black
tobacco before their production levels would drop. One notes that crops which are not
being grown presently would not be cultivated regardless of how much income
dropped, as in the cases of year 1 kokue and rosado cotton and burley tobacco, and
year 2 ka'a he'e, rosado-grown cotton, and burley tobacco. In these situations these
crops are simply not profitable enough to justify their production.
Recommendations
We can see from these models that although the traditional crops are somewhat
profitable, diversification into other crops would be more beneficial to the family's
economic well-being. Due to Paraguay's increasingly cash-driven economy, cash
crops are becoming more important as time goes on. This analysis suggests that
farmers should begin diversifying into corn and ka'a he'e and begin backing away from
cotton and tobacco. As this is a preliminary analysis, it would be necessary to carry
this final matrix out for another 5 to ten years to see what the results would be before
making a concrete recommendation.
Critique of Analysis
The extremely high amounts of year-end cash seems somewhat unrealistic. Part
of the problem is that this model is not based on hard data. It obviously contains some
inaccuracies. While the prices and production levels are most likely close to reality,
time required to complete the various tasks for crop production as well as the available
total labor pools for the male and female are probably not accurate. Additionally,
several issues need to be addressed with crop diversification which are not covered in
this analysis. Technical assistance for farmers is almost nonexistent, and is needed if
they branch into new crops such as ka'a he'e. Price variability is another question not
considered by this analysis-in the case of corn prices drop precipitously between
December and March when most corn is harvested. Farmers trying to sell individually
will most likely not obtain a profit for their labor unless they can store it. A possible
solution would be to feed the corn to livestock and sell cattle, chickens, or swine in
place of the grain.
In closing, the pattern that has developed throughout this analysis is one of
diversification into lower input, low risk crops. This is not to say that farmers should
immediately leave cotton and tobacco behind; one cannot deny the benefits of those
crops' marketing systems. Nevertheless, as labor shortages continue to grow as young
people leave the farm, low input, low cost crops will become more important and must
be considered more seriously in order for small farmers to survive without price
subsidization.
Figure 1
BOLIVIA
- - A.C '0 'C H 0,
EugsIm A DQu'a
S NU EVAI F u.,u
."ASUNCIONN A TO
( PARAGUAY
r.af P. PON
BOQUERON't "uX
r( '- .,X
%- I ,.
S a cog l. .
P E5 S_-.
A: R.G E. N -A
Paraguay
-- ,, ,Inlnmaton l 'u.dary...'.-
-- Department boundary
lIaofna capWtal
a Lepatment cpiIal
.- --. Railrl d
S Rod
0 ICm100
- 'V .-
EN Trr
-',S
Figure 2
Road
House lot
Kokue
Capuera
Paraguayan Farm Schematic, Dept San Pedro
MARKET pu as
r specialty purchases
purchases, iRtj
from crop sales
food
lime & money
or community
projectS
COMMU ITY
debt payment (formal)
"rop sales after debt
payment
labor
garbage (feed)
food
transport
labor
febd
traction &
transport
feed
food a
crop s
debt p
on inf<
credit
I cash
ANIMALS
Meat, milk & eggs Traction & transport
Cattle Oxen
Chickens
Swihe
CROPS
Perennials Annuals
Sugarcane/ Cotton
Cameroon grass Tobacco
Com
Peanuts
Beans
Mandioca
Onions
Tomato
Figure 3
Figure 4
Calendar of Activities
CROP
Cotton
JAN
spray,
hoe,
cultivate
M, MOK
Tobac. harvest,
sell
M
Maize harvest
M, MOK
F, FOK
Peanuts cultivate
hoe
M,MOK
Beans plant
M, MOK,
FEB
spray
M
MAR
spray,
harvest
M, F,
MOK
APRIL
harvest,
bag, sell
M, F,
MbK
MAY
harvest,
bag, sell
M,F,
MOK
JUNE
bag, sell
M, MOK
JULY AUG
cut and
burn
weeds,
clear
land
M, MOK
plant
nursery
i, MOK
harvest
M, MOK
F, FOK
plot &
soil
p, ep.
M, MdK
plot &
soil
prep.,
plant
M, MOK,
plot &
soil
prep.,
plant
M, IMOK
harvest
M, MOk,
cultivate hoe &
M cultivate
M, MO
cultivate,
harvest
M, MOk,
blot &
soil
prep.
i, MOK
cut and
bum
weeds,
clear
land
M, MOK
plot &
soil
prep,
plant,
M, MOK,
plaht
M ,MOK,
SEP
prepare
land &
soil,
plant
M, MOK,
F
Prep
soil,
transplant
water,
hoe
M, MOK,
plot & oil
prep.,
pl nt,
cultivate
M, MOK,
plot &
soil
prep.
M, MOK
cGitivite
M
OCT
prepare
land &
soil,
plant,
thin,
hoe,
cultivate
spray,
M, MOK,
hoe,
spray
M, MOK
NOV
thin,
hoe,
spray
M, MOK,
hoe
M, MOK
cultivate cultivate
M M
plant
M,MOK
cultivate
& nhoe
M, MOK
hoe &
cultivate
M, MOK
cultivate,
harvest
M, IOK,
F fieiniaie OOkui feM4l1 older kids
DEC
hoe,
spray
M, MOK
hoe,
harvest,
prune
suckers
M, MOK,
green
harvest,
dry
harvest
F, FOK,
M, MOK
cultivate
M
plot &
soil
prep.,
plant
I ,MOK,
M--male M'lOk= rnilO Older lkids
CROP JAN
Cassav. harvest
hoe
F, FOK,
M, MOK
FEB
harvest
F, FOK
MAR
harvest
F, FOK
S'cane
L'stock: vet., feed, feed,
battle, feed, water, watei
chickns, water, milk milk
swine rrilk M, MOK, M, MI
M, MOK, F, FOK F, FC
Fi FOK
M=l male Mok= nale older ids
APRIL
harvest
F, FOK
harvest
M ,MOK
vet.,
feed,
water,
milk
M, MOK,
F, FOK
F= femile
Calendar of Activities
MAY JUNE JULY
harvest harvest harvest
cut seed F, F16 pidt &
F, FOK, soil
M, MOK prep.
F FOk,
M, MOK
harvest hIrvesti harvest
M, MOK plaht & plant
M ,MOK cutivate
In, MOK
feed, feed, v
water, wa er, feed,
milk rhilk water,
M,MO MOK i M K, milk
F, FOK F, FK M,MIK,
F, F OK
FK= female older kids
Figure 5
AUG
harvest
plant
F, Fdk,
M, MOK
harvest
& plaht
cultiyate
M, MOK
feed,
water,
milk
Mi MOK,
F, FOK
SEP
harvest
hoe
F, FOk,
M, MOK
plant
cultivate
M, MOK
feed,
Wqter,
milk
M, M9K,
F, POK
OCT
harvest
F, FbK
cultiaite
M
vet.
feed,
water,
milk
M, OK,
F, bRk
NOV
harvest
hoe
, Fok,
MMOK
fted,
water,
milk
i, M0K
DEC
harvest
F, =OK
feed,
waier,
milk
M, MOK,
F, 06k
KK
PAAMMWMATRIXCOTToNN4DTCBACCOABCAMHCROPS
MWPI TALE 1
*Mldoor la I sk(~ r Inhdd. Fmlbabr is bI upon aidmbe 5 a lung to hen oldet dauglrs horme fm bnchodald is able to c oun .b
enTkm =*t*,m 'W i bva Gwiam l,, - Al k
1 CF PER C EVEMRY2YEARS WIMB 10DEAO RATE
SILL IPC MAN MAeWTAIM ImArN lXutAR-Cm JSAICANE IUOARCANK MMUML.K AIMaMULK HEIFER BULL
CATTLE ,ICU CATTLE Y*ies O COWS YEARNOS PROUCTIOONCIPPTION CALVEB CALV8
OTRm us 2s AS
OTk s 21 j -
TOTAL ,_"042 52,1 too, GM, 0 316 .j -0.2 4 1
COTTON COTTON COTONZ ACK TOBLUA.YTB. KA~AIE KIAHEAE SUMO
(OMulCAPUEA O =4O OADD IBA OADO EAM YEAR2 CAME
Btms -Me
12 -2000 -1200 -200 200
S170 4 0 -275 27
OTB,.400 0
TOraM oMove neTrs
COTTON COTTTN TN ACKTOB. UtL.EYTOB. KMA'AE TOTAL. PM
ROME CAPIWA ROADO RoDADO ROADTD /COI
oTRm 41 414 41t 16M 36.06 104 194 COTTON I SLACK A
Om Sim sin 1 1.7 lam 0 17 TOB. 1. ILNT
0bTOTAL P16 6 0slI- 6-.0 0A 0 s 10M 664.74
aea -ieoo .iM -*o -42W -4o -6000
-27 -00 -200 600 M-200 .1-4001
m ~mm ms
POIMUesPIosw -4
= MTSPSO -42 0012ORNIATHKATS
ao Msouwnm t2
IC MS 16.2'i
EOIMPRODIN@PItHR 049
CHMaIUMN ____
NmE OTRI 24 Is 15 I 41 y 113 111 72 112 112 a S 16 = 5 I 15 1s 0 0 o70723 72 UOTR I
PIiaOTR 46 0 0 0 0 o o o o 0 0 W 66 R OlI
riwaQi, 1a If to 11 11 72 2la "1 us 1. w 116.s 0 SS oaMMSjSA M QtMSI
ASOTRm2 24 24 246 4 0 42 701 70. 462 1121 0.1 101 1n 0 24.3 1M .1 0 0 6260M U52 UROT R
,BROTR2 46 2 2 2 0 21 0 0 0 0 0 0 0 0 37. 0 0 0 M631M 10 0aRQTR2
rLaRQR2 4 M 0 M 0 42 700 702S 483 1121 8.1 11 1M u 24U 4. 8.1 0 2R1010" lo rAIRQTR2
rtaemR 46 2 2 2 6 24 10 7. 4. h0 m.i 1 0 20 48 1 0 42M1MS 1MB ruROTR2
AMRa'R3 0 0 0 0 0 0 11 213 371.75 0 a 101 1M 1 0 282 84 84 0 0 $11071" 762 MROTRI
4LMOTR3 46 2 2 2 0 0 43 718 .36 0 0 0 0 0 0 9.3 0 0 0 120210 12 FLBRQR0S
rLaIR S 2 2 2 0 0 an u 471 0 1ff w 0 M2 4.8 4 0 0 64400021 V ruReQi
.BROTR4 44 41 4 46 42 0 32 20 064 1021 t1.s 64 I4 0 W.7 I9s3 11J 0 0 3MM14 744 i.BROTR4
q6810RT4 46 0 0 0 0 0 0 0 0 0 0 0 a 0 0 0 a it 6a 420M 01 RjBRT1R4
rL QTA 9 4 4 4 4a 0 B a S in IOU o 4 0 7 a fRS I 0 37171644JI M TLARQTM4
TOTAL 27 S9 M 4 N 01 112 413I M 3 3127 23.26 722 1.1 7.7 o 11 3353 TOTAL
OXEN N t I W! 1
M 84 61 84 44 164 is& #
f
3
r
PARAOW Y MATRIX COTTON TOBACCO AND COM AS CAEH CROPS
Wtfr TA.5E 2
Tn*Mrel aotrhon t bow hld. Fw "makedl fbora bakk Om Al rponli r e wtolaugirhom t om cani aIb le oca yi rbln.
omw fmaIi mo m iD E .1LOWFLW MB PMAl iT8 COTIFTON COOtN COTTO BILACKO.S ino PWT tR l TM I OM OXEN CATTLE IW M oT TOTAL
cua5nLanH -_ 0- -W ..... .M NOSPO MASHil .A ASE. CANA AMI 0. PIS LT. LE PI.S L- &PAMS
81 24 OTRt 1t 18 41 67 113 113 72 112 112 S25 1M Ia M 18 1t 0 0 O62MS01. 732 LoR QTR
LaROR 46 0 0 0 a 0 0 0 0 0 0 0 0 0 0 37S 0 0 0 35812 0S LOR TR 1
TBRT I o f i a 18 a 4 7 iff 11 72 112 112 3m S a8 aS 57.4 1 0 0 6216197.1 8n8 TLwRQTR
ilBROTR2 24 24 24 24 0 46.2 70.4 70 46.5 112. m.1 181 19 0 24. 8.1 8.1 0 0 3122710 02 0LBROTR2
8ROT2 45 2 2 2 0 2A 0 0 0 0 0 0 0 0 0 37 0 0 0 30M02.7 100 FLBRTR2
TLMQ 12 a 26 28 a 0 48 70Ms 70 4.3 H11S S 1W1 186 IS 24 4" &1 0 0 42135 21 100R rTRQU 2
LBROTR3 0 0 0 0 0 0 11 271 371.7 0 0 t11 11 0 25.2 84 4 0 0 62974M.M 712 ML8RQTR3
FLROTR3 46 2 2 2 0 0 43 73 .2s 0 0 0 0 9 0 31A 0 0 0 133M24SA 120 FBROTR3
TLRQOI R 45 2 2 2 0 0 a204 471 0 0 6 1 158 0 252 417 &4 0 0 01119.7 *72 TiLRQTRS
URBaTR4 44 46 46 49 42 0 32 20 84 o 102. 102I 64 64 0 8.7 lls 1"0 0 0 3466271 744 LBROTR4
0R 8TR4 46 0 0 0 0 0 0 0 0 0 0 0 0 0 0 M3.1 0 11 SS 4311494 0L.BROTR4
TLARQ7SM a 4 48 46 42 0 2 4 5 102IS f1.s M4 a4 0 7 M 1f 1 0 3067334.9 S4 T.LRQM
TOTAL 272 1 4 5 S1 11 41M MM 5.5 37 161 722 4 1.1 7OJ o1 11 a 2165162 1603 TO1.
**asM B 3 36 3 8 44 Gi8l a 461- 26 201 a 0 01 01 - --1 a aa
14A t GooSe 4921 a
* CALF PER COW EVERtY2 YEARS WI I 10% DEAT ---E
ANWAAL OATL5ft00GUOIGH I
I SaL PRI uAS i UAWATAO ~AN 666541*14KXMBrg& SWAROME M JXIAc A166.*L* H6U K"IL
I CATTLE W. CATTLE y ImS OXEN C" YEAUJLNO S PRODUOWTIO CO@64WNTIO CALVES CALVES
10781 628 2*3 2*6
ITOTAL 1 $0.12 6 5.20 1=00 40D, 301 46 ml .m es
COTTON COTTON COTTONBLACKITOBULtEYTOB. KNAHIEE KAHEE SUWAM.
0onqCAPUEA tROADO RM0A4O R0 ADO YEAR1 YBAR2 CI6E
20o10 -1200 -200 -20
T 12m -1700 -2600 27 *275
,-s640000
T@TAL UCTIOCOTSI __ ______
COTTON TTN COTT CT O O T LACKTB. I.L.EYTOB. KA'AH"E TOTAL P100 ()
KOA CAPlt4 A R0IDA0 0400D RO8400 COST
OTRm 41* 41* 41t.6 36M6 5 104 1 COTT B LACKI ao .fEY rAtON
OTR2 S16 3S1 31.3 16.7 1" .7 0 12. TOB. ITOB. FLIT
TOTA0 71.6M 15M 71.4 0 0 0 2 14.7i4 -A2 -0.10
OTaim a *A 0 0 0 19.,74
TOTAfL Isi.4ia s 4181 M 161.0 my WAS 106 IO*
wmnalmWnnr NT OEM*~m PEANUT
-8000 -= 4100 .120 120 400 40
-2667 .20 0 4W .60 -20 -6 001
001ILVI0 40
PIGES PER lOW -4.2 WSPEAMA1I~T3
AIMOEMP00-0
EWOON1LAWTl01 424
CO14MOHMI(INS -2
MAfS 162
m0800DUC1IG4*EmHW -104
04OKPERI-W 4
Pf IAYMATPIX3, M .L CAHCOPSWm N MEGERCOMNSTRA
_MM_ MM C OAl NO= MADO KNAE KAWF ____ a ns __ P Fo -loltw
I 031 34 18 1 18i 41 67 113 Mti 72 M12 112 3 2 M in 1"4 19 0 0 34 wIiS 7m2 ARORi
ROT1 46 0 0 0 0 0 0 0 0 0 0 0 I37 0 0 1 707* FlR OTR1
TABRQRsm a is 11 4t 0 ? Il t 2 7 12 1 fa1 8 a W ASS 4A If& a 0 3709 17 1 rTSI.0m
IROTA2 24 24 24 3 0 462 70 7T0 401 1124 m1 161 in 0 24.3 8.1 .1 0 0 22MM0 a2 JaROTaR
rLJROTR2 40 2 2 2 0 22 0 0 0 0 0 0 0 0 74 0 0 0 22303 1n FIOTR2
0IRMQIR2 6 2 0 w 0u 4s 7. 4. if2.8 .1 lrt 1m m 2 9asf 0 0 2577r74m 1m TLRQTRAR
JaOIR 0 0 0 0 0 4 I1 Z7 S71.3 0 0 161 t 0 202 M4 *A 0 0 S1 I7. 702 tROmR
3ROTR3 46 2 2 2 0 0 43 73S .2m 0 0 0 0 0 0 3M 0 0 0 76nm 120 .RmOTR3
r ARQ@R 2 2 2 0 0 o M31 471 0 0 ft 191 0 a" 4 &4 O 0 3MM726 M FLTEOR
IO*R4 44 40 46 49 42 0 32 a IN 1024S 1S 64 4M M 0 Y.7 1t. It* 0 0 2001to 744 0BRQTR4
0ROQTR4 46 0 0 0 0 0 0 0 0 0 0 0 9 0 3 0 t 611 1 201 M LAlRQT@R4
r/LWm 4I 48 48 46 42 0 32 sW S4 I 11. S s o 0 S7 M I f1f 0 23 0014.1 -M rLTRMQ
ITOTMAL M e 4 M f II 11 41f1* 3S 0WA M3v S2 1m MS I16. 2W.? J 11 8 13t44WJ 2m TOTAL
a-im--- j M 3 46 34 61 -4 i44 14 1.iS 2. 0 8 0 0 0 0 0 431 9 sWI
COTTON COTTON COTTONLA.CKTIIOB EYTOB. KAAHE KNAIE ASUAR-
BM M CACtWA ODADDO MROMD 00 YEARI = AR C2
4200 -120B -00 *-3
-1254 -1700 -2600 -276 -M27
7m0 _-aem
T@InLMenUOnIO0csiO
COTTON COTTON COTTON 0 LAKTOI 0URLtEYC XANAEIS TOTAL. B
OTRm 41* 41A 41* 3.0 36U 404 1 COTTN ACK
aF 31.3 8.30 1t I0i 1 .7 1.7 12.7 7. UT. | FLT
Orms 71,, 71,4,0 0 0 0 2?474 _-am 14 44
am 6A SAS S a 0 0 19.74
TOTAL M114 151 1t61 s0 3 GOA 104 64
Ia uc u I o
mWeIOCAV rM 0T IMr4TEa T YLWFLNT BM PMJUT
.E. -1008 .4 00 .-12 -1200 400 41
S .CONSTrPA -200 -o200 100
ONllM, PIM 4
IN6MOCA 32
PNl, PmBOW 44. poDEARAT7M
IoocANMalPIcT ON
CONRIMCHXalBa .24
MAIZE 10.2
mAPOUCTIONPERH 4-104
CHCM=sWtHW_
1 CALF PER COW EVERY YEARBMWH 1091DEATH - - --RATE
armss a o
Im.L IffICU 4I7I26 Wm- I IUuAIINN CIiIEISIAI1 4 A 741L..IK I1P6 3 UlL
I@Tm L26j 2*6 264 II I
T21 --.-
,TOTALr. eA2 es s 12001_ e0 _ ,* 31 -02s .0=1_
PAMMY DVcMA W TM 1,. MALCAMIH OW P NIIO Tfll gaCOM1uM
PWTTMALE4
tide wr tin1 tYn labor ivuhi. Fem* ori bmsrd uponl t itbe arLenl g ~ n lst dah~ i horn k. school nd is dlel to, f youa. illipg
....t644bm4 F I Mbw*J.mmist alp.Ow
WTireaYabitaWi bowls Pim for Re. ob m aAs f mI wX3 v fw boo e.rhb r -mn -aum.
I NO rEaR MEE MEASWEAUT C--TON COTTW COTTON HIACKTOO. K.EHTOLO RAPL ANTS 0ATI MUS.ul PIGS -EAMg TOTAL TOTA
a- -..... I- m .Rm.. I ..VoD I lC-a -l I-HI -A I TOT L ,-E
aOTRlt 24 a1 Is 1 41 67 11 113 7n 112 112 328 in 0s 1 .6 0 0 57302 72 ROUITRI
aROl 46 0 0 0 8 I 0 0 0 0 0 0 0 0 a0 I7 0 0 0 W744 .a FLRBGrR
LetRQTR 9 I8 s 8 is 87 11a 11 72 ff2 f112 m 184 8 aO 8d .8 0 61 2M84.2 826 TAIRQiOR
NB G1R2 24 24 24 0 462 70 70. 46.2 112.5 4.1 181 t6 0 243 6.1 .1 0 0 31MMg7U2 M MJOTR
amR 2 46 2 2 2 0 2. 0 a 0 a 0 0 a 0 0 $7.6 0 0 0 A 42334 0 FBR OTR2
rLNiQTR2 N IS 0 48 70.S msS M4.S 124 MOi 1t m i a M 0 0& 42042122 1f TrIR Qm
IOOTR5 0 0 0 0 0 m1 273 371.75 0 0 ti 1 i8 0 262 8 4 4B 0 0 22M3700 752 1LR1R07
IRTR3 46 2 2 2 0 0 43 7S I02 0 0 0 0 0 0 its 0 0 0 181604 120 FLBRAl TR
TLSRQYRS 45 2 2 2 a 0 am4 $ 4r7 0 0 18f Io1 0 22 4M. 8.4 0 0 267474 872 TIARQmR
.OTrR4 44 48 48 40 42 a 32 20 4 102" SMU M 64 0 6.7 1t. 139 0 0 3407142 744 M .LBQTR4
1O64 46 0 0 0 0 0 0 O 0 0 0 0 0 0 0 30.1t 0 I 4372 8610.8 RATR4
rL TR4 a 8 48 4 a 42 0 a 20 n.o 1MS f M 4 S o7 o lag ft a 011846 5 FLROM
TOTl 2M2 N 6 1 4I. M6. 23 32 32.6 72 8 3.7 1 0 743S SM TOTM1
OyXN I 3SO 36 36. 8 21 64 44 1A6 12 26 2J s 00 0 O 0P O 431 -.i16 axm
- -- S -
COTTON COTTON COTONBLACKTOBrW.MEYT0. KAH'AE %AFWEM SUGAR.
C ICAPUt tDOSADO 1aMAO O S -ADO VMWS YE- 2 C2 N
0 -20
-14 2000 1200 -260
294 700 -00 -275 -275
TOTAL PUSNIIGICODSTS
COTTON COTTON COTTON ACKTO BULEY. IKAALEY .TOTAL KAAIE
KOWE C6APU0 ERA aO a6 10040100 _OADS_ COST _
OTR1 412 4M1 412 352 16. 6 10 14ACK 1
aOm2 31M S16 31* 16.73 IS67 0 125.7 TOB. TO FLIHT
aen 71M6 712 71. 0 0 0 21434 -04211 -1 .1-211 -. 1m
OTR 4 (m 4 *0 0 0 0 1o.74
TOMTAN. 161 MN 114 1,614 S602 602 Gt10 664.7
IIIANI)OCAV"4 DEUT 60476 6.HT VIIUW6.JT BEM PEANUTS
010410m -10000 -1260 -1200 -1260 -4 -601
111 -07 0 400 -00 -100 1
I~uumm
NAM6300 30
PIQUETS~lta-4.2 001503A1N3ATE)
AMOK PROMOTO
300003N861OM .424
00461320340130N -44
I&IME 162
emGoP325nTI0patIm -164
04GI16035I*4 .
*O CALFPERCOWEVEBRY2YEARSWITH10% DEATHRE
AUK- CAT-II -p-M -
08LL PRICE MruA4TI MANNAN MA I NrM MuR BUMcANS UlANIIE NWA IE I.MIL 4M .MK !HEIFMR BULL
CATTLE mBN(T'tM CATTLE YRIN am COMW YENS PIUCION CONSUllPTON CALVES CALVES
OTRt s2 2zo 2.1
QTR 62 212 21
par.& 1 102 .2 6.2:: : 0 12 00 10 -3400 *.6 -0-226 -0.225
PARAGUAY DYNAMIC MATRIX 1, ALL CASH CROPS WITH NO INTEGER CONSTRAINTS
VARIABLES >>
AMUSEDD>
CONSTRAINTS
YRI KOKUERE
KOKUEFCAPUERA
ROSADO
MLBR QTR 1
FLBR QTR 1
MLBR QTR 2
FLBR QTR 2
MLBR QTR 3
FLBR QTR 3
MLBR QTR 4
FLBR QTR 4
YEARLY CREDIT & COSTS
CREDIT LIMIT
WHTONT CONS (kg)
WHTFLNT CONS (])
WHTFLNTACCT
YLWFLNTCONS (kg)
BEAN CONS (kg)
PNiT CONS (kg)
SCANE CONS
MAND CONS
MILK CONSUMPTION
KAA HEE ACCT QTR2
KAAIE'E ACCT QTR3
BLKTBROS ACCT
BLYTBROS ACCT
KOKCOTACCT
CAPCOTACCT
ROSCOTACCT
BUEYES (hours)
BULL CALF ACCT
HEIFER CALF ACCT
OXEN BEG
COWS BEG
BOAR BEG
SOWS BEG
PIGLET ACCT
CHICKENS BEG
PULLET ACCT
CHICKEN CONS
EGGCONS
PIGLET CNS
CASH QTR2
CASH QTR3
CASH QTR4
CASH END YR 1
YR1
PROD PROD SELL TRANS PROD S-KAA HEE S-KAA HE'E MAINTAIN
MAND WHITE DENT WHITE FLINT WHTE FLINTWHITE FLINTYLW FLINT BEANS PNUTS CREDIT KAA HEE QTR2 QTR3 CTNKOKS-CTNKOK CTNCAP S-CTNCAP CTNROS S-CTNROS BLKTBROSS-BLKTBROSRLBRLYTBRO-BRLYTBROS SCANE OXTEAM
0.17 1.60 1723.93 200.00 0.88 0.50 0.20 .380.00
0 0 0 0
1 1 1 0
0 0 0 0
18 41 67 0
0 8 0 0
24 0 45.2 0
2 0 2.8 0
0 0 0 0
2 0 0 0
48 42 0 0
0 0 0 0
0 0 0 -1
0 0 0 1
0 0 0 0
0 0 0 0
0 0 0 0
-1200 0 0 0
0 -400 0 0
0 0 -500 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
35 35 34 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 -1.18
1.12 224.04 308.08 0.00 0.00 1.23 2097.31 0.00
0 0
0 1
0 0
0 113
0 0
0 70.5
0 0
0 161
0 43
0 32
0 0
0 151.04
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
1 0
0 0
0 0
0 -1284
0 0
0 0
0 51
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 1
0 0
0 113
0 0
0 70.5
0 0
0 273
0 73
0 20
0 0
0 151.04
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
1 0
0 -1700
0 0
0 64
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 -0.421 0 -0.4:
0 0 0
0 0 0
0 0
0 0
0 1
0 72
0 0
0 48.3
0 0
0 371.75
0 88.25
0 84.5
0 0
0 151.04
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
1 0
0 -2500
0 44
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
21 0
0 0
0 0
0.00 1.00 2000.00 0.00
0 0
0 0
0 1
0 112
0 0
0 112.5
0 0
0 0
0 0
0 102.5
0 0
0 50.83
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 -2000
0 0
0 0
0 0
1 0
0 16.5
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
o 0
21 0
0 0
0 0
0.00 0.02 0.15
0 1 1
0 0 0
0 0 0
0 8 58.9
0 0 0
0 0 24.3
0 0 0
0 0 25.2
0 0 0
0 0 58.7
0 0 0
0 0 10.52
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 -40000 1200
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
1 0 6
0 0 0
0 0 0
0 0 0
0 8 -1952
0 0 0
0 0 0
0 6 -1
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
-1.421 0 0
0 0 0
0 0 0
0 0 0
TRN BULL TRN HEIFER TRN PIGS PROD T-PULLETS PROD PROD
T OXENCOWS T COWS CALVES CALVES BOAR SOWSTRN BOARTRN SOWSCNSUMPT'NTRN PIGLETS CHICKENS T-CHICKENST-PULLETS CONS TRNLBR 1 TRNLBR2 TRNLBR 3TRNLBR4TCSH 1-2TCSH 2-3TCSH 3-4 T CSH-E MAND WHTE DENTWHTE FLINT
0.15 0.90 0.90 0.20 0.20 0.00 0.95 0.00 0.95 4.00 0.00 6.00 6.00 0.00 24.00 0.00 0.00 23.18 0.00 0.00 2419.81 3789.51 3789.51 0.30 0.17 1.39
0 0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 19.6 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
0 37.8 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 .0 0 0 0 0 0 0 0
0 8.1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
0 37.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0
0 8.4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
0 38.3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0
0 19.9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
0 38.1 0 0 0 5.5 11 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0
0 5.26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 365 365 0 0 0 0 18.2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 600 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 365 365 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 -405 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 -0.23 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 -0.23 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 -1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 -1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 -1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 -4.2 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 -1 1 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 -6 0 1 1 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 -104 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 1 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 1 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
SELL TRANS PROD NEWYR2 YR 1 S-KA'A HEE S-KAA HE'E S-KAA HEEMAINTAIN TRN BULLTRN HEIFER
WHITE FLINTWHITE FLINT YLW FLINT BEANS PNUTS CREDIT KA'A HEE KA'A HE'E QTR 1 QTR 2 QTR3 CTNKOK-CTNKOKCTNCAPS-CTNCAPCTNROSS-CTNROSBLKTBROSS-BLKTBROSBRLYTBROSS-BRLYTBROSS'CANE OX TEAM COWS CALVES CALVES
1470.89 200.00 0.88 0.50 0.20 0.00 0.00 1.12 336.06 324.86 308.06 2.01 2602.99 0.55 940.43 0.00 0.00 1.00 2000.00 0.00 0.00 0.02 0.15 0.90 0.20 0.20
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
MAINTAIN SELL MAINTAIN SELL TRN PIGS TRN MAINTAIN PROD T-PULLETS
YRLG STRS YRLG STRS YRLG HEIF YRLG HEIF BOAR SOWS CNSUMPTNPIGLETS YRLG PIGS CHICKENS T-PULLETS CONS TRNLBR 1 TRNLBR 2 TRNLBR 3 TRNLBR 4 T CSH 1-2 T CSH 2-3 T CSH 3-4 T CSH -E RHS
0.20 0.20 0.20 0.20 0.00 0.95 4.00 0.00 0.00 6.00
0.00 24.00 0.00 0.00 59.57 0.00 4320.49 6859.11 8837.62 8891.35
RES USED CONSTRAINTS
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 o
0 o o
0 o
o 00
0 0
0 00
0 00
o o
o o
o o
o o
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 <= 3 0.6196512 KOKUERE
0 0 0 <= 6 6 KOKUE/CAPUERA
0 0 0 <= 1 1 ROSADO
0 0 0 <= 732 732 MLBR QTR 1
0 0 0 <= 93 51.362452 FLBR QTR I
0 0 0 <= 892 470.54456 MLBR QTR 2
0 0 0 <= 160 52.953325 FLBR QTR 2
0 0 0 <= 752 574.11092 MLBR QTR 3
0 0 0 <= 120 120 FLBR QTR 3
0 0 0 <= 744 375.84386 MLBR QTR 4
0 0 0 <= 96 58.109013 FLBR QTR 4
0 0 0 <= 0 1.304E-13 YRLYCREDIT & COSTS
0 0 0 <= 360 360 CREDIT LIMIT
0 0 0 <= -200 -200 WHTDNTCONS(kg)
0 0 0 < -200 -200 WHTFLNTCONS(kg)
0 0 0 <= 0 3.553E-15 WHTFLNTACCT
0 0 0 <= -600 -600 YLWFLNT CONS (kg)
0 0 0 <= -200 -200 BEAN CONS (k)
0 0 0 <= -100 -100 PNUTCONS(kg)
0 0 0 <= 0 4.552E-12 SCANECONS
0 0 0 <= -2607 -2607 MAND CONS
0 0 0<= -365 -365 MILKCONSUMPTION
0 0 0 <= 0 2.558E-13 KAAHEEACCTQTR2
0 0 0 <= 0 6.359E-13 KA'AHE'EACCTQTR3
0 0 0 <= 0 2.114E-13 BLKTBROSACCT
0 0 0 <= 0 3.166E-14 BLYTBROSACCT
0 0 0 <= 0 -3.533E-12 KOKCOTACCT
0 0 0 <= 0 -3.331E-13 CAPCOTACCT
0 0 0 <= 0 -1.172E-12 ROSCOTACCT
0 0 0 <= 0 -51.681826 BUEYES(hars)
0 0 0 <= 0 -1.137E-15 BULLCALFACCT
0 0 0<= 0 -1.137E-15 HEIFERCALFACCT
0 0 0 <= 0 2.22E-16 OXEN BEG,
0 0 0 <= 0 0 COWS BEG
0 0 0 <= 0 0 BOAR BEG
0 0 0 <= 0 4.996E-15 SOWSBEG
0 0 0 <= 0 2.413E-14 PIGLETACCT
0 0 0 <= 0 0 CHICKENS BEG
0 0 0 <= 0 -12 PULLETACCT
0 0 0 <= -24 -24 CHICKEN CONS
0 0 0 <= -624 -624 EGG CONS
0 0 0 <= -4 -4 PIGLET CNS
0 0 0 = 0 -7.776E-13 CASH QTR2
0 0 0 = 0 -1.669E-12 CASH QTR3
0 0 0 = 0 -9.095E-13 CASH QTR4
0 0 0 >= 0 3364.7094 CASH END YR 1
YR2 KOKUERE
KOKUE/CAPUERA
ROSADO
KAA HEE LAND
MLBR QTR 1
FLBR QTR 1
MLBR QTR 2
FLBR QTR 2
MLBR QTR 3
FLBR QTR 3
MLBR QTR 4
FLBR QTR 4
YEARLY CREDIT & COSTS
CREDIT LIMIT
WHTDNT CONS (kg)
WHTFLNT CONS (kg)
WHTFLNTACCT
YLWFLNTCONS (kg)
BEAN CONS (kg)
PNUT CONS (kg)
SCANE CONS
MAND CONS
MILK CONSUMPTION
KAA HEE ACCT QTR1
KAA HE'E ACCT QTR2
KAA HE'E ACCT QTRI
BLKTBROSACCT
BLYTBROS ACCT
KOKCOTACCT
CAPCOTACCT
ROSCOTACCT
BUEYES (hours)
BULL CALF ACCT
HEIFER CALF ACCT
BEG YRLNG STEERS
BEG YRLNG HEIFERS
OXEN BEG
COWS BEG
YRLNG STEERS END
YRLNG HEIFERd END
BOAR BEG
SOWS BEG
BEG YRLG PIGS
PIGLET ACCT
CHICKENS BEG
PULLET ACCT
CHICKEN CONS
EGG CONS
PIGLET CNS
CASH OTR1
CASH QTR2
CASH QTR3
CASH QTR4
BOAR END
SOWS END
PIGLETS END
YRLG PIGS END
PULLETS END
CHICKENS END
COWS END
OXEN END
BULL CALVES END
HEIFER CALVES END
CASH END YR 2
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 -1
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
6 0 0 0 0 0
0 0 0 0 0 0
0 0 0 a 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
d 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
a 0 0 0 0 0
o 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 a 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 d 0 0
0 0 0 0 0 a 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 a 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 6 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 a 0 0 0 a
a a a a a a a a
YR1 PROD PROD SELL TRANS PROD S-KAA HEE S-KAA HEE
MAND WHITE DENT WHITE FLINT WHITE FLINT WHITE FLINT YLW FLINT BEANS PNUTS CREDIT KAA HEE QTR 2 QTR 3 CTNKOKSCTNKOK CTNCAPS-CTNCAP CTNROS S-CTNROS BLKTBROSS-BLKTBROSBRLYTBROSS-BRLYTBR
0 -1 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
MAINTAIN
OS S'CANE OX TEAM
OS SCARE OX TEAM
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 24 18 18
0 00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 45 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 24 24 24
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 45 2 2
0 0 0 0 0 0 0 0 0 0 0 0 000 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 45 2 2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 44 48 48
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 45 0 0
0 0 00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1200 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 b 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1200
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0-10000 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 35 35
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 -I 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 00 0 000
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 .0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 00 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 a 0 0
TRN BULLTRN HEIFER TRN PIGS PROD T-PULLETS YR2 PROD PROD
T OXENCOWST COWS CALVES CALVES BOAR SOWSTRN BOARTRN SOWSCNSUMPTNTRN PIGLETSCHICKENS T-CHICKENST-PULLETS CONS TRNLBR 1 TRNLBR 2 TRNLBR 3TRNLBR 4T CSH 1-2T CSH 2-3T CSH 3-4T CSH-E MAND IVHTE DENTWHTE FLINT
6
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
-0.16
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0 0
1 1 1 0 1 0
0 0 0 0 0 0
0 0 0 0 0 1
18 41 67 0 326 188
0 8 0 0 0 0
24 0 45.2 0 161 185
2 0 2.8 0 0 0
0 0 0 0 181 181
2 0 0 0 0 0
48 42 0 0 54 54
0 0 0 0 0 0
0 0 0 -1 104 0
0 0 0 1 0 0
0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
-1200 0 0 0 0 0
0 -400 0 0 0 0
0 0 -500 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 -300
0 0 0 0 -200 -290
0 0 0 0 -275 -275
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
35 35 34 0 25 25
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0
0 0 0 00 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 -1.18 0 0
0 -1.58 0 -0.421 0 -0.421 0 -0.421
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0
0 1 0 1 0 0
0 0 0 0 0 1
0 0 0 0 0 0
0 113 0 113 0 72
0 0 0 0 0 0
0 70.5 0 70.5 0 46.3
0 0 0 0 0 0
0 161 0 273 0 371.75
0 43 0 73 0 99.25
0 32 0 20 0 94.5
0 0 0 0 0 0
0 151.04 0 151.04 0 151.04
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
1 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 -1294 1 0 0 0
0 0 0 -1700 1 0
0 0 0 0 0 -2500
0 51 0 64 0 44
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
SELL TRANS PROD NEWYR2 YR 1 S-KA'AHE'ESKAAHEES-KA'AHE'E
WHTE FLINTWHITE FLINTYLW FLINT BEANS PNUTSCREDIT KA'A HE'EKA'A HE'E QTR 1 QTR 2 QTR 3 CTNKOK3-CTNKOKCTNCAPS-CTNCAPCTNROSS-CTNROSBLKTBROS-BLKTBROSBRLYTBROS-BRLYT
0 0
0 0
0 1
0 0
0 112
0 0
0 112.5
0 0
0 0
0 0
0 102.5
0 0
0 50.83
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 -2000
0 0
0 0
0 0
1 0
0 16.5
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 1 1 0.5 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 8 58.9 19.6 0 0
0 0 0 37.8 0 0
0 0 24.3 8.1 0 0
0 0 0 37.5 0 0
0 0 25.2 8.4 0 0
0 0 0 38.3 0 0
0 0 59.7 19.9 0 0
0 0 0 38.1 0 0
0 0 10.52 5.26 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 -40000 1200 600 0 0
0 0 0 0 0
0 0 0 -405 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
1 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 8 -1952 0 0 0
0 0 0 -0.225 1 0
0 0 0 -0.225 0 1
0 0 0 0 0 0
0 0 0 0 0 0
0 0 1 0 0 0
0 0 0 1 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
-1.421 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 1 0 0
0 0 1 0 0 0
0 0 0 0 1 0
0 0 0 0 1
0 0 0 0 66 66
MAINTAIN TRN BULLTRN HEIFER
BROSS'CANE OX TEAM COWS CALVES CALVES
0
0
0
0
0
a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
a
0
-132.5
0
0
0
0
0
012.
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 5.5 11
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 365 365
0 0 0
0 0 0
0 0 0
0 365 365
0 0 0
0 0 0
0 0 0
o 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
1 0 0
0 1 0
0 0 1
0 0 0
0 0 -4,2
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
-132.5 0 0
0 1 0
0 0 1
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 a
0 0
0 0
0 0
0 0
o 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 o
0 0
o 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
1 1
0 0
0 0
0 0
a o
-1 0
0 0
0 0
0 0
0 0
0 0
0 0
0 1
0 0
0 0
o 0
0 0
0 0
0 0
0 0
0 a
MAINTAIN TRANS MAINTAIN TRNS TRN PIGS TRN MAINTAIN PROD
YRLG STRSYRLGSTRSYRLG HEIFYRLG HEIF BOAR SOWs NSUMPT'NPIGLETSYRLG PIGS CHICKENS T-PULLETS
0 0
0 0
0 0
S 0 0
a 0 1
0 -1
1 0 0
0 0
0 0
S 0 0
S 0 0
o 0 0
S 0 0
S 0 0
0 0
0 6
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 6
0 0
1 0
-1 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
o o
o 0
0 0T
0 0
0 0
T-PULLETS
CONS TRNLBR 1TRNLBR 2TRNLBR3TRNLBR 4TCSH 1-2 TCSH 2-3 TCSH:
0 0 <= 3 0.70603367 KOKUERE YR2
0 0 <= 6 6 KOKUE/CAPUERA
0 0<= 1 1 ROSADO
0 0 <= 0 1.776E-15 KA AHE'ELAND
0 0 <= 732 732 MLBR QTR 1
0 0 <= 93 51.3624524 FLBROTR1
0 0 < 892 589.493947 MLBR QTR 2
0 0 <= 160 52.5316013 FLBRQTR2
0 0 <= 752 752 MLBR QTR 3
0 0 <= 120 120 FLBRQTR3
0 0 <= 744 424.553362 MLBROTR4
0 0 <= 96 58.1090132 FLBRQTR 4
0 0 <= 1000 446.676221 YEARLY CREDIT & COSTS
0 0 <= 360 0 CREDIT LIMIT
0 0 <= -200 -200 WHTDNT CONS (kg)
0 0 = -200 -200 WHTFLNTCONS(kg)
0 0 <= 0 6.04E-14 WHTFLNTACCT
0 0 <= -600 -600 YLWFLNTCONS (kg)
0 0 <= -200 -200 BEAN CONS (kg)
0 0 <= -100 -100 PNUTCONS(kg)
0 0 <= 0 -1.155E-12 'CANECONS
0 0 <= -2607 -2607 MAND CONS
0 0 <= -365 -365 MILKCONSUMPTION
0 0 <= 0 -2.629E-13 KA'AHEEACCTQTR1
0 0 <= 0 6.04E-14 KA'AHEE ACCTQTR2
0 0 <= 0 -2.505E-13 KA'A HEE ACCT QTR3
0 0 <= 0 -2.274E-13 BLKTBROSACCT
0 0 <= 0 2.274E-13 BLYTBROSACCT
0 0 <= 0 2.673E-13 KOKCOT ACCT
0 0 <= 0 -3.944E-13 CAPCOTACCT
0 0 <= 0 O ROSCOT ACCT
0 0 <= 0 -1.133E-13 BUEYES hours )
0 0 <= 0 -1.536E-14 BULL CALF ACCT
S 0 <= 0 4.773E-17 HEIFER CALF ACCT
0 0 <= 0 -2.22E-16 BEG YRLNG STEERS
0 0 <= 0 -2.22E-16 BEG YRLNG HEIFERS
0 0 <= 0 0 OXEN BEG
0 0 <= 0 -1.81E-14 COWSBEG
0 0 <= 0 1.166E-15 YRLNG STEERS END
0 0 <= 0 1.166E-15 YRLNG HEIFERS END
0 0 <= 0 0 BOAR BEG
0 0 <= 0 3.331E-16 SOWS BEG
0 0 <= 0 -4.441E-15 BEG YRLG PIGS
0 0 <= 0 -1.833E-14 PIGLETACCT
0 0 <= 0 -1.776E-15 CHICKENS BEG
0 0 <= 0 -12 PULLET ACCT
0 0 <= -24 -24 CHICKEN CONS
0 0 <= -624 -624 EGG CONS
0 0 <= -4 -4 PIGLET CNS
0 0 = 0 1.461E-12 CASH QTR1
0 0 = 0 -5.969E-13 CASH QTR2
1 0 = 0 -2.401E-13 CASH QTR3
-1 1 = 0 -8.206E-13 CASH QTR4
0 0 >= 0 0 BOAR END
0 0 >= 0 0.95238095 SOWS END
0 0 >= 0 7.143E-16 PIGLETS END
0 0 >= 0 1.635E-14 YRLG PIGS END
0 0 >= 0 6 PULLETS END
0 0 >= 0 6 CHICKENS END
0 0 >= 0 0.90123457 COWSEND
0 0 >= 0 0.15098583 OXEN END
0 0 >= 0 0.20277778 BULL CALVES END
0 0 >= 0 0.20277778 HEIFER CALVES END
0 1 >= 0 8918.11832 CASH ENDYR
4460.19166 T-CASH LESS YRI&2 LIVING COSTS
3-4T CSH -E AND DUMMY END YEAR 2 ANIMAL VALUES.
PARAGUAY DYNAMIC MATRIX 1, ALL CASH CROPS WITH NO INTEGER CONSTRAINTS
Answer Report
Solution Cell
A:CWI 16
Variable Cells
MAND A:C5..C5
PROD WHTE DENT A:D5..D5
PROD WHTE FLINT A:E5..E5
SELL WHTE FLINT A:F5..F5
TRANS WHITE FLINT A:G5..G5
PROD YLW FLINT A:H5..H5
BEANS A:15..15
PNUTS A:J5..J5
CREDIT A:K5..K5
KA'A HE'E A:L5..L5
S-KA'A HE'E QTR 2 A:M5..M5
S-KA'A HE'E QTR 3 A:N5..N5
CTNKOK A:O5..O5
S-CTNKOK A:P5..P5
CTNCAP A:Q5..Q5
S-CTNCAP A:R5..R5
CTNROS A:S5..S5
S-CTNROS A:T5..T5
BLKTBROS A:U5..U5
S-BLKTBROS A:V5..V5
BRLYTBROS A:W5..W5
S-BRLYTBROS A:X5..X5
S'CANE A:Y5..Y5
MAINTAIN OX TEAM A:Z5..Z5
T OXEN A:AA5..AA5
COWS A:AB5..AB5
T COWS A:AC5..AC5
TRN BULL CALVES A:AD5..AD5
TRN HEIFER CALVES A:AE5..AE5
BOAR A:AF5..AF5
SOWS A:AG5.AG5
TRN BOAR A:AH5..AH5
TRN SOWS A:A15..AI5
TRN PIGS CNSUMPTN A:AJ5..AJ5
TRN PIGLETS A:AK<5.AK5
PROD CHICKENS A:AL5..AL5
T-CHICKENS A:AM5..AM5
T-PULLETS A:AN5..AN5
T-PULLETS CONS A:AO5..AO5
TRNLBR 1 A:AP5..AP5
TRNLBR 2 A:AQ5..AQ5
TRNLBR 3 A:AR5..AR5
TRNLBR 4 A:AS5..AS5
T CSH 1-2 A:AT5..AT5
T CSH 2-3 A:AU5..AU5
T CSH 3-4 A:AV5..AV5
T CSH -E A:AW5..AW5
Starting Final
0 8918.1183
Starting
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Final
0.2954619
0.1666667
1.6032724
1723.9269
200
0.8806825
0.5
0.2
360
1.1202043
224.04086
308.05618
2.73E-15
0
1.2337122
2097.3107
4.689E-16
0
1
2000
0
3.166E-14
0.0180481
0.1509858
0.1509858
0.9012346
0.9012346
0.2027778
0.2027778
0
0.952381
0
0.952381
4
2.079E-14
6
6
0
24
0
0
23.175302
0
0
2419.8129
3789.5094
3789.5094
Gradient Increment
0 219.8793208
0 192
0 93.66706881
0 0.078055891
0 0.16
0 58.96118672
0 298.8707296
0 419.6811196
0 Infinite
0 210.410503
0 1.052052515
0 0.765129102
0 170.926
0 0.13209119
0 1638.322395
0 0.963719056
0 606.226185
0 0.242490474
0 Infinite
0 Infinite
0 84.8
0 0.070666667
0 37.17267901
0 280.9435192
0 280.9435192
0 49.61253468
0 49.61253468
0 220.5001541
0 220.5001541
0 66.42569521
0 17.93098596
0 66.42559521
0 17.93098596
0 11.54633553
0 4.269282372
0 2.912
0 2.912
0 0
0 0
0 4.646563461
0 3.6996E-16
0 0
0 6.9291E-16
0 0
0 0.281560113
0 11.88733419
0 11.88733419
Decrement
Infinite
Infinite
52.6528205
0.04387735
Infinite
Infinite
Infinite
Infinite
0.54473928
734.535134
1.58
1.58
Infinite
Infinite
64.8141688
0.03812598
Infinite
Infinite
84.8
0.0424
Infinite
1.421
31431.7642
942.952926
942.952926
Infinite
0
99.7396182
99.7396182
Infinite
Infinite
Infinite
Infinite
Infinite
11.5463355
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
0.90502265
Infinite
Infinite
0.27338663
0.18430842
0.18430842
PAGE 1
PARAGUAY DYNAMIC MATRIX 1, ALL CASH CROPS WITH NO INTEGER CONSTRAINTS
Variable Cells
MAND A:AX5..AX5
PROD WHTE DENT A:AY5..AY5
PROD WHTE FLINT A:AZ5..AZ5
SELL WHTE FLINT A:BA5..BA5
TRANS WHITE FLINT A:BB5..BB5
PROD YLW FLINT A:BC5..BC5
BEANS A:BD5..BD5
PNUTS A:BE5..BE5
CREDIT A:BF5..BF5
NEW YR 2 KA'A HE'E A:BG5..BG5
YR 1 KA'A HE'E A:BH5..BH5
S-KA'A HE'E QTR 1 A:B15..BI5
S-KA'A HE'E QTR 2 A:BJS..BJ5
S-KA'A HE'E QTR 3 A:BKS..BK5
CTNKOK A:BL5..BL5
S-CTNKOK A:BM5..BM5
CTNCAP A:BN5..BN5
S-CTNCAP A:BO5..B05
CTNROS A:BP5..BP5
S-CTNROS A:BQ5..BQ5
BLKTBROS A:BR5..BR5
S-BLKTBROS A:BS5..BS5
BRLYTBROS A:BT5..BT5
S-BRLYTBROS A:BUS..BU5
S'CANE A:BV5..BV5
MAINTAIN OX TEAM A:BW5..BW5
COWS A:BX5..BX5
TRN BULL CALVES A:BY5..BY5
RN HEIFER CALVES A:BZ5..BZ5
MAINTAIN YRLG STRS A:CA5..CA5
SELL YRLG STRS A:CB5..CB5
MAINTAIN YRLG HEIF A:CC5..CC5
SELL YRLG HEIF A:CD5..CD5
BOAR A:CE5..CE5
SOWS A:CF5..CF5
TRN PIGS CNSUMPTN A:CG5..CG5
TRN PIGLETS A:CH5..CH5
MAINTAIN YRLG PIGS A:CI5..CI5
PROD CHICKENS A:CJ5..CJ5
T-PULLETS A:CK5..CK5
T-PULLETS CONS A:CL5..CL5
TRNLBR 1 A:CM5..CM5
TRNLBR 2 A:CN5..CN5
TRNLBR 3 A:C05..CO5
TRNLBR 4 A:CP5..CP5
T CSH 1-2 A:CQ5..CQ5
T CSH 2-3 A:CR5..CR5
T CSH 3-4 A:CS5..CS5
T CSH -E A:CT5..CT5
Starting
0
0
0
0
0
0
0
Final
0.2954619
0.1666667
1.3924105
1470.8926
200
0.8806825
0.5
0 0.2
0.00 0.00
0 0
0 1.1202043
0 336.06129
0 324.85925
0 308.05618
0 2.011583
0 2602.9884
0 0.5531954
0 940.43226
0 0
0 0
0 1
0 2000
0 0
0 2.274E-13
0 0.0210898
0 0.1509858
0 0.9012346
0 0.2027778
0 0.2027778
0 0.2027778
0 0.2027778
0 0.2027778
0 0.2027778
0 0
0 0.952381
0 4
0 7.143E-16
0 1.635E-14
0 6
0 0
0 24
0 0
0 0
0 59.573925
0 0
0 4320.4863
0 6859.1067
0 8837.6155
0 8891.3517
Gradient Increment
0 234.5759545
0 192
0 3.940177129
0 0.003283481
0 0.16
0 169.8502539
0 216.2863013
0 246.2274484
-1.18 1.18
0 8.827134104
0 210.410503
0 0.701368343
0 0.044006341
0 0.032033743
0 167.7676597
0 0.129650433
0 2.636587399
0 0.001550934
0 1255.049904
0 0.502019962
0 Infinite
0 Infinite
0 84.60583705
0 0.070504864
0 10.82434324
0 379.6678524
0 48.56264549
66 215.83398
66 215.83398
0 220.5001541
0 220.5001541
0 220.5001541
0 220.5001541
0 133.7573948
0 51.66278558
0 20.30066323
8 12.30066323
16 4.269282372
0 5.824
0 0
0 0
0 1.159050384
0 0
0 1.50388109
0 0
0 5.182445837
0 0.011788887
0 2.592547244
1 2.592547244
PAGE 2
Decrement
634.41404
Infinite
125.362757
0.10446896
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
734.535134
1.58
1.58
1.58
1.33983438
0.00103542
167.983567
0.09881386
Infinite
0.421
84.6058371
0.04230292
Infinite
1.421
13303.871
942.952926
Infinite
66
66
99.7396182
99.7396182
99.7396182
99.7396182
Infinite
Infinite
Infinite
Infinite
11.5463355
Infinite
Infinite
Infinite
Infinite
Infinite
0.25650087
Infinite
0.27253006
0.22350644
0.2106282
0.2106282
T
PARAGUAY DYNAMIC MATRIX 1, ALL CASH CROPS WITH NO INTEGER CONSTRAINTS
YR1 KOKUERE
KOKUE/CAPUERA
ROSADO
MLBR QTR 1
FLBR QTR 1
MLBR QTR 2
FLBR QTR 2
MLBR QTR 3
FLBR QTR 3
MLBR QTR 4
FLBR QTR 4
YRLY CREDIT & COSTS
CREDIT LIMIT
WHTDNT CONS (kg)
WHTFLNT CONS (kg)
WHTFLNT ACCT
YLWFLNT CONS (kg)
BEAN CONS (kg)
PNUT CONS (kg)
S'CANE CONS
MAND CONS
MILK CONSUMPTION
KA'A HE'E ACCT QTR2
KA'A HE'E ACCT QTR3
BLKTBROS ACCT
BLYTBROS ACCT
KOKCOT ACCT
CAPCOT ACCT
ROSCOT ACCT
BUEYES (hours)
BULL CALF ACCT
HEIFER CALF ACCT
OXEN BEG
COWS BEG
BOAR BEG
SOWS BEG
PIGLET ACCT
CHICKENS BEG
PULLET ACCT
CHICKEN CONS
EGG CONS
PIGLET CNS
CASH QTR2
CASH QTR3
CASH QTR4
CASH END YR 1
Cell
A:CW7..CW7
A:CW8..CW8
A:CW9..CW9
A:CW10..CW10
A:CW11..CW11
A:CW12..CW12
A:CW13..CW13
A:CW14..CW14
A:CW15..CW15
A:CW16..CW16
A:CW17..CW17
A:CW18..CW18
A:CW19..CW19
A:CW20..CW20
A:CW21..CW21
A:CW22..CW22
A:CW23..CW23
A:CW24..CW24
A:CW25..CW25
A:CW26..CW26
A:CW27..CW27
A:CW28..CW28
A:CW29..CW29
A:CW30..CW30
A:CW31..CW31
A:CW32..CW32
A:CW33..CW33
A:CW34..CW34
A:CW35..CW35
A:CW36..CW36
A:CW37..CW37
A:CW38..CW38
A:CW39..CW39
A:CW40..CW40
A:CW41..CW41
A:CW42..CW42
A:CW43..CW43
A:CW44..CW44
A:CW45..CW45
A:CW46..CW46
A:CW47..CW47
A:CW48..CW48
A:CW49..CW49
A:CW50..CW50
A:CW51..CW51
A:CW52..CW52
Value Constraint
0.6196512 <=3
6 <=6
1 <=1
732 <=732
51.362452 <=93
470.54456 <=892
52.953325 <=160
574.11092
120
375.84386
58.109013
1.3E-13
360
-200
-200
3.55E-15
-600
-200
-100
4.55E-12
-2607
-365
2.56E-13
6.36E-13
2.11E-13
3.17E-14
-3.53E-12
-3.33E-13
-1.17E-12
-51.68183
-1.14E-15
-1.14E-15
2.22E-16
0
0
5E-15
2.41 E-14
0
-12
-24
-624
-4
-7.78E-13
-1.67E-12
-9.09E-13
3364.7094
<=752
<=120
<=744
<=96
<=0
<=360
<=-200
<=-200
<=0
<=-600
<=-200
<=-100
<=0
<=-2607
<=-365
<=0
<=0
<=0
<=0
<=0
<=0
<=0
<=0
<=0
<=0
<=0
<=0
<=0
<=0
<=0
<=0
<=0
<=-24
<=-624
<=-4
=0
=0
=0
>=0
Binding?
No
Yes
Yes
Yes
No
No
No
No
Yes
No
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
Yes
Yes
Yes
Yes
Yes
Yes
No
Slack
2.38034879
0
0
0
41.6375476
421.455439
107.046675
177.88908
0
368.156141
37.8909868
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
51.681826
0
0
0
0
0
0
0
0
12
0
0
0
0
0
0
3364.70944
Dual Value
0
108.362038
1241.89691
4.64655346
0
0
0
0
0
0
0
0.54473928
0.54473928
0.16
0.16
0.16
0.16
0.74717682
0.83936224
0.00092931
0.02198793
0.12250009
1.58
1.58
0.895
1.421
0.55309119
0.421
0.66349047
0
99.7396182
99.7396182
280.527829
0
66.4255952
17.930986
11.5463355
2.912
0
0
0
11.5463355
1
1
1
0
PAGE 3
Right Value Increment Decrement
3 Infinite 2.38034879
6 1.35253539 1.40425252
1 1.08672874 1
732 110.56918 86.9701731
93 Infinite 41.6375476
892 Infinite 421.455439
160 Infinite 107.046675
752 Infinite 177.88908
120 23.1753024 177.88908
744 Infinite 368.156141
96 Infinite 37.8909868
0 73.2859783 38.5031415
360 73.2859783 38.5031415
-200 200 1723.92689
-200 200 1723.92689
0 Infinite 1723.92689
-600 1056.81905 1723.92689
-200 200 592.072501
-100 100 766.368364
0 721.928624 95236.0584
-2607 2954.61905 8420.21928
-365 6.3217E-12 402.778206
0 Infinite 224.040859
0 Infinite 308.056181
0 Infinite 2000
0 Infinite 3.1663E-14
0 3.5332E-12 999.628044
0 Infinite 2097.31071
0 1.1722E-12 2037.84567
0 Infinite 51.681826
0 4.54979362 0.20277778
0 4.54979362 0.20277778
0 0.02657969 1.65584269
0 Infinite 1.5609E-14
0 0 4.22051509
0 3.8933E-15 1.42770431
0 5.99635809 1.6352E-14
0 1.8447E-15 94.7212577
0 Infinite
-24 24
-624 Infinite
-4 4
0 Infinite
0 Infinite
0 Infinite
0 3364.70944
12
12
1.9185E-13
1.6352E-14
2419.81286
3364.70944
3364.70944
Infinite
PARAGUAY DYNAMIC MATRIX 1, ALL CASH CROPS WITH NO INTEGER CONSTRAINTS
YR2 KOKUERE
KOKUE/CAPUERA
ROSADO
KA'A HEE LAND
MLBR QTR 1
FLBR QTR 1
MLBR QTR 2
FLBR QTR 2
MLBR QTR 3
FLBR QTR 3
MLBR QTR 4
FLBR QTR 4
Cell
A:CW53..CW53
A:CW54..CW54
A:CW55..CW55
A:CW56..CW56
A:CW57..CW57
A:CW58..CW58
A:CW59..CW59
A:CW60..CW60
A:CW61..CW61
A:CW62..CW62
A:CW63..CW63
A:CW64..CW64
YEARLY CREDIT & COSI A:CW65..CW65
CREDIT LIMIT
WHTDNT CONS (kg)
WHTFLNT CONS (kg)
WHTFLNT ACCT
YLWFLNT CONS (kg)
BEAN CONS (kg)
PNUT CONS (kg)
S'CANE CONS
MAND CONS
MILK CONSUMPTION
KA'A HE'E ACCT QTR1
KA'A HE'E ACCT QTR2
KA'A HEE ACCT QTR3
BLKTBROS ACCT
BLYTBROS ACCT
KOKCOT ACCT
CAPCOT ACCT
ROSCOT ACCT
BUEYES (hours)
BULL CALF ACCT
HEIFER CALF ACCT
BEG YRLNG STEERS
BEG YRLNG HEIFERS
OXEN BEG
COWS BEG
YRLNG STEERS END
YRLNG HEIFERS END
BOAR BEG
SOWS BEG
BEG YRLG PIGS
PIGLET ACCT
CHICKENS BEG
PULLET ACCT
CHICKEN CONS
EGG CONS
PIGLET CNS
CASH QTR1
CASH QTR2
CASH QTR3
CASH QTR4
BOAR END
SOWS END
PIGLETS END
YRLG PIGS END
PULLETS END
CHICKENS END
COWS END
OXEN END
BULL CALVES END
HEIFER CALVES END
CASH END YR
A:CW66..CW66
A:CW67..CW67
A:CW68..CW68
A:CW69..CW69
A:CW70..CW70
A:CW71..CW71
A:CW72..CW72
A:CW73..CW73
A:CW74..CW74
A:CW75..CW75
A:CW76..CW76
A:CW77..CW77
A:CW78..CW78
A:CW79..CW79
A:CW80..CW80
A:CW81..CW81
A:CW82..CW82
A:CW83..CW83
A:CW84..CW84
A:CW85..CW85
A:CW86..CW86
A:CW87..CW87
A:CW88..CW88
A:CW89..CW89
A:CW90..CW90
A:CW91..CW91
A:CW92..CW92
A:CW93..CW93
A:CW94..CW94
A:CW95..CW95
A:CW96..CW96
A:CW97..CW97
A:CW98..CW98
A:CW99..CW99
A:CW100..CW100
A:CW101..CW101
A:CW102..CW102
A:CW103..CW103
A:CW104..CW104
A:CW105..CW105
A:CW106..CW106
A:CW107..CW107
A:CW108..CW108
A:CW109..CW109
A:CW110..CW110
A:CW111..CW111
A:CW112..CW112
A:CW113..CW113
A:CW114..CW114
A:CW115..CW115
A:CW116..CW116
Value Constraint
0.706034 <=3
6 <=6
1 <=1
1.78E-15 <=0
732 <=732
51.36245 <=93
589.4939 <-892
52.5316 <=160
752 <=752
120 <-120
424.5534 <=744
58.10901 <=96
446.6762 <-1000
0 <=360
-200 <=-200
-200 <=-200
6.04E-14 <=0
-600 <=-600
-200 <--200
-100 <=-100
-1.15E-12 <=0
-2607 <--2607
-365 <=-365
-2.63E-13 <=0
6.04E-14 <=0
-2.5E-13 <=0
-2.27E-13 <=0
2.27E-13 <=0
2.67E-13 <=0
-3.94E-13 <=0
0 *=0
-1.13E-13 <=0
-1.54E-14 <=0
4.77E-17 <=0
-2.22E-16 <=0
-2.22E-16 <=0
0 <=0
-1.81E-14 <=0
1.17E-15 <=0
1.17E-15 <=0
0 <=0
3.33E-16 <=0
-4.44E-15 <=0
-1.83E-14 <=0
-1.78E-15 <=0
-12 <=0
-24 <-24
-624 <=-624
-4 <=-4
1.46E-12 =0
-5.97E-13 =0
-2.4E-13 =0
-8.21E-13 =0
0 >=0
0.952381 >=0
7.14E-16 >=0
1.64E-14 >-0
6 >-0
6 >=0
0.901235 >=0
0.150986 >=0
0.202778 >=0
0.202778 >=0
8918.118 >=0
Binding?
No
Yes
Yes
Yes
Yes
No
No
No
Yes
Yes
No
No
No
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
Yes
Yes
No
No
No
No
No
No
No
Slack Dual Value Right Value
2.29396633 0 3
0 161.96953 6
0 1656.9827 1
0 929.29135 0
0 1.1590504 732
41.6375476 0 93
302.506053 0 892
107.468399 0 160
0 1.1859287 752
0 1.1859287 120
319.446638 0 744
37.8909868 0 96
553.323779 0 1000
360 0 360
0 0.16 -200
0 0.16 -200
0 0.16 0
0 0.16 -600
0 0.5407158 -200
0 0.4924549 -100
0 0.0002706 0
0 0.0244707 -2607
0 0.1199078 -365
0 1.58 0
0 1.58 0
0 1.58 0
0 0.895 0
0 1.421 0
0 0.421 0
0 0.421 0
0 0.421 0
0 0.1941629 0
0 66 0
0 66 0
0 99.739618 0
0 99.739618 0
0 280.52783 0
0 0 0
0 132.5 0
0 132.5 0
0 66.425595 0
0 17.930986 0
0 11.546336 0
0 20.300663 0
0 2.912 0
12 0 0
0 0 -24
0 0.056 -624
0 20.300663 -4
0 1 0
0 1 0
0 1 0
0 1 0
0 -133.75739 0
0.95238095 0 0
0 -12.300663 0
0 0 0
6 0 0
6 0 0
0.90123457 0 0
0.15098583 0 0
0.20277778 0 0
0.20277778 0 0
8918.11832 0 0
Increment
Infinite
4.4192727
0.7029343
0.5709359
36.931199
Infinite
Infinite
Infinite
284.56901
75.545938
Infinite
Infinite
Infinite
Infinite
200
200
Infinite
1056.819
200
100
843.48417
2954.619
365
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
51.897255
Infinite
Infinite
4.5497936
4.5497936
0.0265797
Infinite
Infinite
Infinite
0
3.893E-15
5.9963581
1.635E-14
1.845E-15
Infinite
24
1.918E-13
1.635E-14
Infinite
Infinite
Infinite
Infinite
3.6023674
0.952381
4.0615825
1.635E-14
6
6
0.9012346
0.1509858
0.2027778
0.2027778
8918.1183
Decrement
2.2939663
1.0274674
0.3291228
0.3585115
78.860861
41.637548
302.50605
107.4684
78.358624
78.358624
319.44664
37.890987
553.32378
360
1470.8926
1470.8926
1470.8926
1470.8926
646.98698
795.88543
91375.008
8420.2193
6.322E-12
336.06129
324.85925
308.05618
2000
2.274E-13
2602.9884
940.43226
0
4485.641
0.2027778
0.2027778
0.2027778
0.2027778
1.6558427
1.561E-14
0.2027778
0.2027778
4.2205151
1.4277043
1.635E-14
4.0615825
94.721258
12
12
8405.1003
4.0615825
4320.4863
6859.1067
8837.6155
8891.3517
0
Infinite
7.143E-16
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
PAGE 4
PARAGUAY DYNAMIC MATRIX 1, ALL CASH CROPS WITH NO INTEGER CONSTRAINTS
MAND
PROD WHTE DENT
PROD WHTE FLINT
SELL WHTE FLINT
TRANS WHITE FLINT
PROD YLW FLINT
BEANS
PNUTS
CREDIT
KA'A HE'E
S-KA'A HE'E QTR 2
S-KA'A HE'E QTR 3
CTNKOK
S-CTNKOK
CTNCAP
S-CTNCAP
CTNROS
S-CTNROS
BLKTBROS
S-BLKTBROS
BRLYTBROS
Cell
A:C5..C5
A:D5..D5
A:E5..E5
A:F5..F5
A:G5..G5
A:H5..H5
A:15..15
A:J5..J5
A:K5..K5
A:L5..L5
A:M5..M5
A:N5..N5
A:05..05
A:P5..P5
A:Q5..Q5
A:R5..R5
A:S5..S5
A:T5..T5
A:U5..U5
A:V5..V5
A:W5..W5
S-BRLYTBROS A:X5..X5
S'CANE A:Y5..Y5
MAINTAIN OX TEAM A:Z5..Z5
T OXEN A:AA5..AA5
COWS A:AB5..AB5
T COWS A:AC5..AC5
TRN BULL CALVES A:AD5..AD5
TRN HEIFER CALVES A:AE5..AE5
BOAR A:AF5..AF5
SOWS A:AG5..AG5
TRN BOAR A:AH5..AH5
TRN SOWS
TRN PIGS CNSUMPTN
TRN PIGLETS
PROD CHICKENS
T-CHICKENS
T-PULLETS
T-PULLETS CONS
TRNLBR 1
TRNLBR 2
TRNLBR 3
TRNLBR 4
T CSH 1-2
T CSH 2-3
T CSH 3-4
TCSH -E
A:A15..A15
A:AJ5..AJ5
A:AK5..AK5
A:AL5..AL5
A:AM5..AM5
A:AN5..AN5
A:AO5..A05
A:AP5..AP5
A:AQ5..AQ5
A:AR5..AR5
A:AS5..AS5
A:AT5..AT5
A:AU5..AU5
A:AV5..AV5
A:AW5..AW5
Value Constraint
0.2954619 >=0
0.1666667 >=0
1.6032724 >=0
1723.9269 >=0
200 >=0
0.8806825 >=0
0.5 >=0
0.2 >=0
360 >=0
1.1202043 >=0
224.04086 >=0
308.05618 >=0
2.73E-15 >=0
0 >=0
1.2337122 >=0
2097.3107 >=0
4.69E-16 >=0
0 >=0
1 >=0
2000 >=0
0 >=0
3.17E-14 >=0
0.0180481 >=0
0.1509858 >=0
0.1509858 >=0
0.9012346 >=0
0.9012346 >=0
0.2027778 >=0
0.2027778 >=0
0 >=0
0.952381 >=0
0 >=0
0.952381 >=0
4 >=0
2.08E-14 >=0
6 >=0
6 >=0
0 >=0
24 >=0
0 >=0
0 >=0
23.175302 >=0
0 >=0
0 >=0
2419.8129 >=0
3789.5094 >=0
3789.5094 >=0
Binding?
No
No
No
No
No
No
No
No
No
No
No
No
Yes
Yes
No
No
Yes
Yes
No
No
Yes
Yes
No
No
No
No
No
No
No
Yes
No
Yes
No
No
Yes
No
No
Yes
No
Yes
SlacI
0.2954619
0.1666666
1.60327241
1723.9268&
20(
0.88068251
0.5
0.;
36(
1.120204:
224.040851
308.05618
1.2337121!
2097.3107
200
0.0180480
0.1509858
0.1509858
0.9012345
0.9012345
0.2027777
0.2027777
0.9523809
0.9523809
Yes
No 23.175302
Yes
2419.8128
3789.509d
3789.5094
k Dual Value Right Value Increment
0 0 0.2954619
7 0 0 0.16666667
0 0 1.60327241
9 0 0 1723.92689
0 0 0 200
4 0 0 0.88068254
5 0 0 0.5
2 0 0 0.2
0 0 0 360
3 0 0 1.1202043
9 0 0 224.040859
1 0 0 308.056181
0 0 0 2.7304E-15
0 -0.1320912 0 999.628044
9 0 0 1.23371219
1 0 0 2097.31071
0 0 0 4.6888E-16
0 -0.2424905 0 2037.84567
1 0 0 1
0 0 0 2000
0 -84.8 0 1
0 0 0 3.1663E-14
9 0 0 0.01804809
3 0 0 0.15098583
3 0 0 0.15098583
7 0 0 0.90123457
7 0 0 0.90123457
8 0 0 0.20277778
8 0 0 0.20277778
0 0 0 0
5 0 0 0.95238095
0 0 0 0
15 0 0 0.95238095
4 0 0 4
0 0 0 2.0793E-14
6 0 0 6
6 0 0 6
0 0 0 12
!4 0 0 24
0 -4.6465535 0 86.9701731
0 -3.7E-16 0 421.455439
4 0 0 23.1753024
0 -6.929E-16 0 368.156141
0 0 0 Infinite
86 0 0 2419.81286
44 0 0 3789.50944
14 0 0 3789.50944
Decrement
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
3.5332E-12
Infinite
Infinite
Infinite
1.1722E-12
Infinite
Infinite
2.6386E-17
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
12
Infinite
41.6375476
107.046675
Infinite
37.8909868
Infinite
Infinite
Infinite
Infinite
PAGE 5
PARAGUAY DYNAMIC MATRIX 1, ALL CASH CROPS WITH NO INTEGER CONSTRAINTS
NEI
S-KA
S-KA
S-KA
YR2
S'CANE
MAINTAIN OX TEAM
COWS
TRN BULL CALVES
TRN HEIFER CALVES
MAINTAIN YRLG STRS
SELL YRLG STRS
MAINTAIN YRLG HEIF
SELL YRLG HEIF
BOAR
SOWS
TRN PIGS CNSUMPTN
TRN PIGLETS
MAINTAIN YRLG PIGS
PROD CHICKENS
T-PULLETS
T-PULLETS CONS
TRNLBR 1
TRNLBR 2
TRNLBR 3
TRNLBR 4
T CSH 1-2
T CSH 2-3
T CSH 3-4
T CSH -E
MAND
PROD WHTE DENT
PROD WHTE FLINT
SELL WHTE FLINT
TRANS WHITE FLINT
PROD YLW FLINT
BEANS
PNUTS
CREDIT
WYR2 KA'A HE'E
YR 1 KA'A HE'E
'A HE'E QTR 1
'A HE'E QTR 2
'AHE'E QTR 3
CTNKOK
S-CTNKOK
CTNCAP
S-CTNCAP
CTNROS
S-CTNROS
BLKTBROS
S-BLKTBROS
BRLYTBROS
S-BRLYTBRO!
Cell
A:AX5..AX5
A:AY5..AY5
A:AZ5..AZ5
A:BA5..BA5
A:BB5..BB5
A:BCS..BC5
A:BD5..BD5
A:BE5..BE5
A:BF5..BF5
A:BG5..BG5
A:BH5..BH5
A:B15..B15
A:BJ5..BJ5
A:BK5..BK5
A:BL5..BL5
A:BM5..BM5
A:BN5..BN5
A:BO5..BO5
A:BP5..BP5
A:BQ5..BQ5
A:BR5..BR5
A:BS5..BS5
A:BT5..BT5
S A:BU5..BU5
A:BV5..BV5
A:BW5..BW5
A:BX5..BX5
A:BY5..BY5
A:BZ5..BZ5
A:CA5..CA5
A:CB5..CB5
A:CC5..CC5
A:CD5..CD5
A:CE5..CE5
A:CF5..CF5
A:CG5..CG5
A:CH5..CH5
A:C15..C15
A:CJ5..CJ5
A:CK5..CK5
A:CL5..CL5
A:CM5..CM5
A:CN5..CN5
A:CO5..CO5
A:CP5..CP5
A:CQ5..CQ5
A:CR5..CR5
A:CS5..CS5
A:CT5..CT5
Value Constraint
0.2954619 >=0
0.1666667 >=0
1.3924105 >=0
1470.8926 >=0
200 >=0
0.8806825 >=0
0.5 >=0
0.2 >=0
0 >=0
0 >=0
1.1202043 >=0
336.06129 >=0
324.85925 >=0
308.05618 >=0
2.011583 >=0
2602.9884 >=0
0.5531954 >=0
940.43226 >=0
0 >=0
0 >=0
1 >=0
2000 >=0
0 >=0
2.27E-13 >=0
0.0210898 >=0
0.1509858 >=0
0.9012346 >=0
0.2027778 >=0
0.2027778 >=0
0.2027778 >=0
0.2027778 >=0
0.2027778 >=0
0.2027778 >=0
0 >=0
0.952381 >=0
4 >=0
7.14E-16 >=0
1.64E-14 >=0
6 >=0
0 >=0
24 >=0
0 >=0
0 >=0
59.573925 >=0
0 >=0
4320.4863 >=0
6859.1067 >=0
8837.6155 >=0
8891.3517 >=0
Binding?
No
No
No
No
No
No
No
No
Yes
Yes
No
No
No
No
No
No
No
Slack
0.2954619
0.16666667
1.39241046
1470.89255
200
0.88068254
0.5
0.2
0
0
1.1202043
336.061289
324.859246
308.056181
2.01158298
2602.98838
0.55319545
940.432263
0
0
1
2000
0
0
0.02108976
0.15098583
0.90123457
0.20277778
0.20277778
0.20277778
0.20277778
0.20277778
0.20277778
0
0.95238095
4
0
0
6
0
24
0
0
59.5739249
0
4320.48627
6859.10669
8837.61555
8891.35166
Dual Value
0
0
0
0
0
0
0
0
-1.18
-8.8271341
0
0
0
0
0
0
0
0
-1255.0499
0
0
0
-84.605837
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
-1.1590504
0
0
0
0
0
0
0
Right Value
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Increment
0.2954619
0.16666667
1.39241046
1470.89255
200
0.88068254
0.5
0.2
360
0.30532991
1.1202043
336.061289
324.859246
308.056181
2.01158298
2602.98838
0.55319545
0 940.432263 Infinite
0 0 0.46331011
0 0 Infinite
0 1 Infinite
0 2000 Infinite
0 1 1.8948E-16
0 2.2737E-13 Infinite
0 0.02108976 Infinite
0 0.15098583 Infinite
0 0.90123457 Infinite
0 0.20277778 Infinite
0 0.20277778 Infinite
0 0.20277778 Infinite
0 0.20277778 Infinite
0 0.20277778 Infinite
0 0.20277778 Infinite
0 0 Infinite
0 0.95238095 Infinite
0 4 Infinite
0 7.1427E-16 Infinite
0 1.6352E-14 Infinite
0 6 Infinite
0 Infinite Infinite
24
78.8608614
302.506053
59.5739249
319.446638
4320.48627
6859.10669
8837.61555
8891.35166
Infinite
36.9311994
107.468399
Infinite
37.8909868
Infinite
Infinite
Infinite
Infinite
PAGE 6
Decrement
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
553.323779
0.16523462
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
Infinite
|
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