B-1241
r
BUDGETS FOR TEXAS CROPS
FOREWORD
Enterprise budgets were developed by the Ex
tension economist-management. Twenty-two pro
duction regions were defined by major soil re
source areas. The regions have been identified as:
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
r
HP I (High Plains I)
HP II (High Plains II)
HP III (High Plains III)
HP IV (High Plains IV)
RP I (Rolling Plains I)
RP II (Rolling Plains II)
HP V (High Plains V)
TP (Trans-Pecos)
EP I (Western Edwards Plateau)
EP II (Eastern Edwards Plateau)
NET (North East Texas)
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
WG (Winter Garden)
CT (Cross Timbers)
GP (Grand Prairie)
BP (Blackland Prairie)
EA (Edwards Aguifer)
ST (South Texas)
CB (Coastal Bend)
RGV (Rio Grande Valley)
ET (East Texas)
UC (Upper Coast)
MC (Middle Coast)
CONTENTS
An
Introduction
Procedure
Te r m i n o l o g y
I n fl a t i o n ' s
Price
Calculating
Calculating
Other
Limitations
to
the
Te x a s
Crop
and
Livestock
Budgets
Used
in
Budgets
Effect
on
the
Budgets
and
Yield
Effects
Annual
Capital
Requirements
Machinery
and
Equipment
Ownership
Costs
Information
Available
Availability
Appendix
Fixed
I.
Appendix
I.
Operating
Machinery
Labor
1
2
3
5
6
6
7
8
8
9
Formulae
Costs
for
Estimating
per
Machinery
Hour
Cost
11
11
Formulae
for
Estimating
Machinery
Cost
(cont.)
Costs
Per
Hour
Capacity
Per
Hour
Costs
Per
Acre
(LABOR)
12
12
12
12
1 ALFALFA ESTAB.. FURROW IRRIGATED, (NATURAL GAS). TEX HIGH PLAINS I
REGN
C1.1
2 ALFALFA, FURROW IRRIGATED, (NATURAL GAS), TEXAS HIGH PLAINS I
REGN
C1.3
3 CORN FOR GRAIN, SPRINKLER IRRIGATED, (NATURAL GAS), TEXAS HIGH PLAINS
REGN
C1.5
4 CORN FOR GRAIN, FURROW IRRIGATED, (NATURAL GAS), TEXAS HIGH PLAINS I
REGN
C1.7
5 CORN FOR SILAGE, FURROW IRRIGATED, (NATURAL GAS). TEXAS HIGH PLAINS I
REGN
C1.9
I
6 F O R A G E S O R G H U M , D R Y L A N D , T E X A S H I G H P L A I N S I R E G I O N . . . C 1 . 11
7 FORAGE SORGHUM, FURROW IRRIGATED, (NATURAL GAS), TEXAS HIGH PLAINS I
REGN
C1.13
8 F O R A G E S O R G H U M F O R H AY, D R Y L A N D , T E X A S H I G H P L A I N S I R E G I O N C 1 . 1 5
9 GRAIN SORGHUM, DRYLAND, TEXAS HIGH PLAINS I REGION ... C1.17
10 GRAIN SORGHUM, FURROW IRRIGATED, (NATURAL GAS), TEXAS HIGH PLAINS I
REGN
C1.19
11 GRAIN SORGHUM, SPRINKLER IRRIGATED, (NATURAL GAS), TEXAS HIGH PLAINS I
REGN
C1.21
12
W H E AT,
DRYLAND,
TEXAS
HIGH
PLAINS
I
REGION
C1.23
13 WHEAT, FURROW IRRIGATED, (NATURAL GAS), TEXAS HIGH PLAINS I REGN C1.25
14 WHEAT, SPRINKLER IRRIGATED, (NATURAL GAS), TEXAS HIGH PLAINS I
REGN
C1.27
1 5 S O Y B E A N S . I R R I G AT E D , ( N AT U R A L G A S ) , T E X A S H I G H P L A I N S I R E G I O N C 1 . 2 9
16 PERMANENT PASTURE ESTABLISHMENT, IRRIGATED. TEXAS HIGH PLAINS I
REGN
C1.31
17 PERMANENT PASTURE, IRRIGATED, (NATURAL GAS), TEXAS HIGH PLAINS I
REGN
C1.33
20 IRRIGATED SORGHUM BEFORE DRYLAND WHEAT, CONSERVATION TILLAGE . C1.35
2 1 C O N T I N U O U S D R Y L A N D W H E AT, C O N S E R VAT I O N T I L L A G E . . . . C 1 . 3 7
22
CONTINUOUS
DRYLAND
W H E AT,
NO
TILLAGE
C1.39
2 3 N O T I L L W H E AT, D R Y L A N D , A F T E R I R R I G AT E D S O R G H U M . . . . C 1 . 4 1
24
NO
TILL
I R R I G AT E D
W H E AT
AFTER
SORGHUM
C1.43
2 5 I R R I G AT E D W H E AT A F T E R S I L A G E O R F O R A G E , C O N S E R VAT O N T I L L A G E C 1 . 4 5
LISTING OF THE NAME SET AND PRICE VECTOR . REGION NUMBER: 1 DATE: 110784 . C1.47
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 1
D AT E :
11 0 6 8 4
41
42
COW-CALF
STOCKER
BUDGET
CALF
TEXAS
BUDGET
HIGH
TEXAS
PLAINS
HIGH
I
PLAINS
C1.49
REGION
I
C1.48
REGION
L1.1
L1.3
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 1
D AT E :
11 0 7 8 4
L1.5
51 ALFALFA ESTABL., FURROW IRRIGATED (NATURAL GAS), TEX HIGH PLAINS II
REGN
C2.1
52 ALFALFA. FURROW IRRIGATED (NATURAL GAS). TEXAS HIGH PLAINS II
REGN
C2.3
53 CORN FOR GRAIN, SPRINKLER IRRIGATED. (NAT.GAS), TEX HIGH PLAINS II REGN . C2.5
54 CORN FOR GRAIN, FURROW IRRIGATED, (NAT GAS), TEX HIGH PLAINS II REGN . C2.7
55 CORN FOR SILAGE, FURROW IRRIGATED, (NAT GAS), TEX HIGH PLAINS II REGN . C2.9
56
57
COTTON,
COTTON,
DRYLAND,
FURROW
TEXAS
HIGH
I R R I G AT E D
PLAINS
II
( N AT U R A L
REGION
C 2 . 11
GAS)
C2.13
58 FORAGE SORGHUM. DRYLAND, TEXAS HIGH PLAINS II REGION . . . C2.15
11
59 FORAGE SORGHUM, FURROW IRRIGATED, (NAT GAS), TEX HIGH PLAINS II REGN C2.17
60 FORAGE SORGHUM FOR HAY, DRYLAND. TEXAS HIGH PLAINS II REGION . C2.19
61 GRAIN SORGHUM, DRYLAND, TEXAS HIGH PLAINS II REGION . . . C2.21
62 GRAIN SORGHUM, FURROW IRRIGATED. (NAT GAS), TEX HIGH PLAINS II REGN . C2.23
63 GRAIN SORGHUM, SPRINKLER IRRIGATED, (NAT GAS), TEX HIGH PLAINS II REGN C2.25
64
W H E AT,
DRYLAND,
TEXAS
HIGH
PLAINS
II
REGION
C2.27
65 WHEAT, FURROW IRRIGATED, (NATURAL GAS), TEXAS HIGH PLAINS II REGN C2.29
66 WHEAT, SPRINKLER IRRIGATED, (NATURAL GAS), TEXAS HIGH PLAINS II
REGN
C2.31
6 7 S O Y B E A N S . I R R I G AT E D , ( N AT U R A L G A S ) , T E X A S H I G H P L A I N S I I R E G I O N C 2 . 3 3
68 PERMANENT PASTURE ESTABLISHMENT, IRRIGATED, TEXAS HIGH PLAINS II
REGN
C2.35
69 PERMANENT PASTURE, IRRIGATED, (NATURAL GAS), TEXAS HIGH PLAINS II
REGN
C2.37
7 0 S U G A R B E E T S , I R R I G AT E D , ( N AT G A S ) , T E X H I G H P L A I N S I I R E G N C 2 . 3 9
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 2 DATE: 110784 . C2.41
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 2
D AT E :
11 0 6 8 4
91
92
COW-CALF
STOCKER
BUDGET
CALF
TEXAS
BUDGET
HIGH
TEXAS
PLAINS
HIGH
II
PLAINS
C2.43
REGION
II
C2.42
REGION
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 2
D AT E :
11 0 7 8 4
L2.1
L2.3
L2.5
1 0 1 A L FA L FA E S TA B . . I R R I G AT E D . T E X A S H I G H P L A I N S I I I R E G I O N C 3 . 1
102
0^
ALFALFA.
I R R I G AT E D ,
103
CORN,
I R R I G AT E D ,
104
COTTON,
DRYLAND,
105
COTTON,
I R R I G AT E D ,
TEXAS
TEXAS
TEXAS
TEXAS
HIGH
HIGH
HIGH
HIGH
PLAINS
III
REGION
C3.3
PLAINS
III
REGION
C3.5
PLAINS
III
REGION
C3.7
REGION
C3.9
PLAINS
III
1 0 6 G R A I N S O R G H U M , D R Y L A N D , T E X A S H I G H P L A I N S I I I R E G I O N C 3 . 11
1 0 7 G R A I N S O R G H U M , I R R I G AT E D , T E X A S H I G H P L A I N S I I I R E G I O N C 3 . 1 3
1 0 8 S O Y B E A N S , I R R I G AT E D . T E X A S H I G H P L A I N S I I I R E G I O N . . . . C 3 . 1 5
109
W H E AT,
DRYLAND.
11 0
W H E AT,
I R R I G AT E D ,
TEXAS
HIGH
TEXAS
PLAINS
HIGH
III
PLAINS
REGION
C3.17
REGION
C3.19
III
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 3 DATE: 110784 . C3.21
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
C3.22
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 3
D AT E :
11 0 7 8 4
141
142
COW-CALF
STOCKER
BUDGET
CALF
TEXAS
BUDGET
HIGH
TEXAS
PLAINS
HIGH
III
PLAINS
C3.23
REGION
III
REGION
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 3
D AT E :
11 0 7 8 4
L3.1
L3.3
L3.5
1 5 1 A L FA L FA E S TA B . , I R R I G AT E D , T E X A S H I G H P L A I N S I V R E G I O N . . . C 4 . 1
152
ALFALFA,
I R R I G AT E D .
153
COTTON,
DRYLAND,
154
COTTON.
I R R I G AT E D .
TEXAS
TEXAS
HIGH
PLAINS
HIGH
TEXAS
PLAINS
HIGH
PLAINS
IV
REGION
C4.3
IV
REGION
C4.5
IV
REGION
C4.7
155 GRAIN SORGHUM. DRYLAND. TEXAS HIGH PLAINS IV REGION C4.9
1 5 6 G R A I N S O R G H U M , I R R I G AT E D , T E X A S H I G H P L A I N S I V R E G I O N . . . C 4 . 11
157
W H E AT,
I R R I G AT E D ,
158
W H E AT,
DRYLAND.
TEXAS
TEXAS
HIGH
HIGH
PLAINS
PLAINS
IV
REGION
C4.13
IV
REGION
C4.15
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 4 DATE: 110784 . C4.17
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
C4.18
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 4
D AT E :
11 0 7 8 4
191
192
COW-CALF
STOCKER
BUDGET
CALF
TEXAS
BUDGET
HIGH
TEXAS
PLAINS
HIGH
IV
PLAINS
IV
C4.19
REGION
REGION
L4.1
L4.3
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 4
D AT E :
11 0 7 8 4
L4
201
ALFALFA
E S TA B L I S H M E N T.
DRYLAND,
1v
CASH
.5
RENT
C5.
1
202
203
204
ALFALFA,
ALFALFA
DRYLAND,
E S TA B L I S H M E N T,
ALFALFA,
CASH-LEASE
I R R I G AT E D
I R R I G AT E D ,
C5.3
CASH-LEASE
CASH-LEASE
C5.5
C5.7
205 COASTAL BERMUDAGRASS ESTABLISHMENT, IRRIGATED OWNER-OPERATOR . . C5.9
206
207
208
C O A S TA L
BERMUDAGRASS,
COTTON,
DRYLAND,
COTTON,
SOLID
DRYLAND,
209
GUAR.
210
W H E AT,
I R R I G AT E D ,
40"
NARROW
O W N E R - O P E R ATO R
ROWS,
SHARE-RENT
ROW,
DRYLAND.
DRYLAND,
SHARE-RENT
C 5 . 11
C5.13
C5.15
SHARE-RENT
C5.17
SHARE-RENT
C5.19
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 5 DATE: 110284 . C5.21
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 5
D AT E :
11 0 2 8 4
C5.22
C5.23
241
COW-CALF
BUDGET
TEXAS
ROLLING
PLAINS
I
REGION
L5.1
242
COW-CALF
BUDGET
TEXAS
ROLLING
PLAINS
I
REGION
L5.3
243
STOCKER
CALF
BUDGET
TEXAS
ROLLING
PLAINS
I
REGION
L5.5
2 4 4 FA R R O W TO F I N I S H H O G P R O D U C T I O N R O L L I N G P L A I N S I R E G I O N L 5 . 7
245
246
FEEDER
PIG
PRODUCTION,
FINISHING
HOGS
ROLLING
ROLLING
PLAINS
PLAINS
I
I
REGION
REGION
L 5 . 11
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 5
D AT E
= 11 0 7 8 4
251
ALFALFA
252
253
254
255
256
257
E S TA B L I S H M E N T,
ALFALFA,
C O A S TA L
BERMUDA
C O A S TA L
COTTON,
COTTON,
COTTON.
L5.13
I R R I G AT E D
C6.1
I R R I G AT E D
GRASS
E S TA B L I S H M E N T,
BERMUDAGRASS,
DRYLAND
(SOLID
DRYLAND,
DRYLAND,
(2X2
v
40"
C6.3
I R R I G AT E D
I R R I G AT E D
ROWS)
L5.9
.
.
C6.5
C6.7
.
C6.9
NARROW
ROW
C 6 . 11
PLANTING
PAT T E R N )
C6.13
258
COTTON,
259
SORGHUM,
260
SORGHUM,
261
GUAR,
262
263
GUAR,
HYBRID
FORAGE
264
I R R I G AT E D
C6.15
DRYLAND
C6.17
I R R I G AT E D
C6.19
DRYLAND
C6.21
I R R I G AT E D
C6.23
H A Y.
W H E AT,
DRYLAND
DRYLAND
C6.25
C6.27
2 7 0 C O T TO N , D RY L A N D ( 2 X 1 P L A N T I N G PAT T E R N ) , C O N S E RVAT I O N T I L L A G E C 6 . 2 9
271
272
SORGHUM,
W H E AT,
DRYLAND,
C O N S E RVAT I O N
DRYLAND,
TILLAGE
C O N S E RVAT I O N
TILLAGE
C6.31
C6.33
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 6 DATE: 110284 . C6.35
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 6
D AT E - . 11 0 2 8 4
291
COW-CALF
BUDGET
TEXAS
ROLLING
PLAINS
II
C6.36
C6.37
REGION
L6.1
2 9 2 S T O C K E R C A L F B U D G E T, T E X A S R O L L I N G P L A I N S 11 R E G I O N L 6 . 3
2 9 3 FA R R O W TO F I N I S H H O G P R O D U C T I O N R O L L I N G P L A I N S I I R E G I O N L 6 . 5
294
295
FEEDER
PIG
PRODUCTION,
FINISHING
HOGS,
ROLLING
HIGH
PLAINS
PLAINS
II
II
REGION
REGION
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 6
D AT E :
11 0 7 8 4
L6
.
301
COTTON,
DRYLAND,
HIGH
PLAINS
V
L6.7
L6.9
11
REGION
C7.1
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 7 DATE: 110184 . . C7.3
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 7
D AT E :
103184
341
COW-CALF
B U D G E T,
TEXAS
HIGH
PLAINS
V
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 7
D AT E :
11 0 7 8 4
C7.4
C7.5
REGION
L7.1
L7.3
351
UPLAND
COTTON,
I R R I G AT E D ,
TRANS
PECOS
REGION
C8.1
L I S T I N G O F T H E N A M E S E T A N D P R I C E V E C T O R R E G I O N N U M B E R : 8 D AT E : 11 0 1 8 4 . . C 8 . 3
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
C8.4
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 8
D AT E :
103184
391
COW-CALF
B U D G E T,
C8
TEXAS
.
TRANS
PECOS
5
REGION
L8.1
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 8
D AT E :
11 0 7 8 4
L8
.
401
402
COTTON.
COTTON.
DRYLAND.
I R R I G AT E D ,
EDWARDS
EDWARD
P L AT E A U
P L AT E A U
WESTERN
WESTERN
3
REGION
REGION
.
.
.
C9.1
.
C9.3
L I S T I N G O F T H E N A M E S E T A N D P R I C E V E C T O R R E G I O N N U M B E R : 9 D AT E : 11 0 1 8 4 . . C 9 . 5
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 9
D AT E :
103184
C9
.
441
/fi^\
COW-CALF
B U D G E T,
TEXAS
EDWARDS
P L AT E A U
II
7
REGION
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 9
D AT E :
11 0 7 8 4
L9
.
451
GRAIN
SORGHUM,
DRYLAND,
TEXAS
EDWARDS
P L AT E A U
C9.6
L9.1
3
EASTERN
C10.1
4 5 2 C O A S TA L B E R M U D A G R A S S E S TA B . , D R Y L A N D , T E X A S E D WA R D S P L AT E A U E A S T E R N C 1 0 . 3
453 COASTAL BERMUDAGRASS PASTURE, DRYLAND. TEXAS EDWARDS PLATEAU EASTERN C10.5
4 5 4 C O A S TA L B E R M U D A G R A S S E S TA B . , I R R I G AT E D , T E X A S E D WA R D S P L AT E A U E A S T E R N C 1 0 . 7
455 COASTAL BERMUDAGRASS PASTURE, IRRIGATED TEXAS EDWARDS PLATEAU EASTERN
REGION
C10.9
456 COASTAL BERMUDAGRASS HAY, IRRIGATED. TEXAS EDWARDS PLATEAU EASTERN
REGION
C 1 0 . 11
457 HYBRID SUDAN-SORGHUM HAY & GRAZING, DRYLAND, TEXAS EDWARDS PLATEAU
EASTERN
C10.13
4 5 8 K L E I N G R A S S E S TA B L I S H M E N T, D R Y L A N D , T E X A S E D WA R D S P L AT E A U E A S T E R N . . C 1 0 . 1 5
4 5 9 K L E I N G R A S S PA S T U R E , D R Y L A N D , T E X A S E D W A R D S P L AT E A U E A S T E R N . . . C 1 0 . 1 7
(***
460
O AT S ,
DRYLAND,
TEXAS
EDWARDS
P L AT E A U
EASTERN
REGION
....
C10.19
4 6 1 S M A L L G R A I N F O R G R A Z I N G , T E X A S E D WA R D S P L AT E A U E A S T E R N . C 1 0 . 2 1
vi i
4 6 4 S P A N I S H P E A N U T S . I R R I G A T E D , T E X A S E D W A R D S P L A T E A U E A S T. R E G I O N C 1 0 . 2 3
4 6 5 C O T TO N , D RY L A N D , T E X A S E D WA R D S P L AT E A U E A S T E R N R E G I O N . . C 1 0 . 2 5
4 6 6 C O T TO N , I R R I G AT E D , T E X A S E D WA R D S P L AT E A U E A S T E R N R E G I O N . C 1 0 . 2 7
L I S T I N G O F T H E N A M E S E T A N D P R I C E V E C T O R R E G I O N N U M B E R : 1 0 D AT E : 11 0 7 8 4 . C 1 0 . 2 9
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 10
D AT E : 111 2 8 4
C10.30
C10.31
4 9 1 C O W- C A L F P R O D U C T I O N T E X A S E D WA R D S P L AT E A U E A S T E R N R E G I O N L 1 0 . 1
492
SHEEP
493
G O AT
494
PRODUCTION
PRODUCTION
RANCH
BUDGET
TEXAS
TEXAS
TEXAS
EDWARDS
EDWARDS
EDWARDS
P L AT E A U
EASTERN
REGION
L10.3
P L AT E A U
EASTERN
REGION
L10.5
P L AT E A U
REGION
EASTERN
L10.7
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 10
D AT E :
11 0 7 8 4
L10.9
501
CORN,
NORTHEAST
TEXAS
REGION
C 11 . 1
502
CORN,
NORTHEAST
TEXAS
REGION
C 11 . 3
503
COTTON,
NORTHEAST
TEXAS
REGION
C 11 . 5
504
COTTON,
NORTHEAST
TEXAS
REGION
C 11 . 7
505
GRAIN
SORGHUM,
506
GRAIN
SORGHUM,
NORTHEAST
NORTHEAST
TEXAS
TEXAS
REGION
REGION
507 HAY PRODUCTION (COASTAL BERMUDAGRASS ESTABLISHMENT), NORTHEAST TEXAS
REGION
C 11 . 9
C 11 . 11
C 11 . 1 3
. 5 0 8 H AY P R O D U C T I O N ( C O A S TA L B E R M U D A G R A S S ) , N O R T H E A S T T E X A S R E G I O N . C 11 . 1 5
509 HAY PRODUCTION (COASTAL BERMUDAGRASS ESTABLISHMENT), NORTHEAST TEXAS
REGION
C 11 . 1 7
5 1 0 H AY P R O D U C T I O N ( C O A S TA L B E R M U D A G R A S S ) , N O R T H E A S T T E X A S R E G I O N . C 11 . 1 9
513
SOYBEANS,
NORTHEAST
TEXAS
REGION
C 11 . 2 1
514
SOYBEANS,
NORTHEAST
TEXAS
REGION
C 11 . 2 3
515
W H E AT,
NORTHEAST
TEXAS
REGION
C 11 . 2 5
516
W H E AT,
NORTHEAST
TEXAS
REGION
C 11 . 2 7
vi i i
517
SOUTHERN
PEAS.
NORTHEAST
TEXAS
REGION
C 11 . 2 9
5 1 9 C O A S TA L B E R M U D A PA S T U R E , D RY L A N D . N O RT H E A S T T E X A S R E G I O N . . C 11 . 3 1
5 2 0 C O A S TA L B E R M U D A - C L O V E R , D R Y L A N D . N O R T H E A S T T E X A S R E G I O N . . C 11 . 3 3
5 2 1 S M A L L G R A I N S PA S T U R E . D R Y L A N D . N O R T H E A S T T E X A S R E G I O N . . . C 11 . 3 5
5 2 2 Y U C H I C L O V E R E S TA B L I S H M E N T, D R Y L A N D . N O R T H E A S T R E G I O N . . . C 11 . 3 7
5 2 7 C H R I S T M A S T R E E E S TA B L I S H M E N T. N O R T H E A S T T E X A S R E G I O N . . . C 11 . 3 9
528 CHRISTMAS TREE PRODUCTION. SECOND YEAR. NORTHEAST TEXAS REGION C11.41
529 CHRISTMAS TREE PRODUCTION. THIRD YEAR, NORTHEAST TEXAS REGION . C11.43
5 3 0 C H R I S T M A S T R E E P R O D U C T I O N ( W H O L E S A L E ) . F O U R T H Y E A R . . . C 11 . 4 5
5 3 1 C H R I S T M A S T R E E P R O D U C T I O N ( C H O O S E A N D C U T ) . F O U R T H Y E A R . . C 11 . 4 7
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 11 DATE: 110784 . C11.49
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 11 DATE: 110784 . C11.50
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
C 11 . 5 1
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 11
D AT E : 11 0 6 8 4
C 11 . 5 2
5 4 0 C O W - C A L F ( L E A S E ) P R O D U C T I O N , N O R T H E A S T T E X A S R E G I O N L 11 . 1
541
COW-CALF
PRODUCTION
542
STOCKER
543
FEEDER
PIG
544
MARKET
HOG
545
CALF
CONTRACT
NORTH
PRODUCTION
PRODUCTION
PRODUCTION
BROILERS,
EAST
NORTH
NORTH
TEXAS
EAST
REGION
TEXAS
L 11 . 3
REGION
L 11 . 5
EAST
TEXAS
REGION
L 11 . 7
EAST
TEXAS
REGION
L 11 . 9
NORTH
NORTHEAST
TEXAS
REGION
L 11 . 11
5 4 6 C ON TR AC T BR OIL ER BR EED ER PRODUCTION, NORTHEAST TEXAS REGION L 11.13
5 4 8 C O N T R A C T B R E E D E R P U L L E T, N O R T H E A S T T E X A S R E G I O N L 11 . 1 5
547
DAIRY
PRODUCTION
NORTH
EAST
TEXAS
REGION
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 11
D AT E : 11 0 7 8 4
5 5 1 B U F F E L G R A S S P A S T U R E E S TA B L I S H M E N T. ( C U L T I V AT E D L A N D ) .
DRYLAND
LI
1.17
L 11 . 1 9
C12.1
552
553
554
555
BUFFEL
GRASS
BUFFLE
C O A S TA L
E S T.
(MARGINAL
GRASS
BERMUDA
C O A S TA L
LAND)
PA S T U R E .
PA S T U R E
DRYLAND
DRYLAND
E S TA B L I S H M E N T.
BERMUDA
PA S T U R E .
DRYLAND
DRYLAND
C12.3
C12.5
C12.7
C12.9
5 5 6 C O A S T A L B E R M U D A P A S T U R E . E S T A B L S I H M E N T. I R R I G A T E D . . . . C 1 2 . 1 1
557
558
559
C O A S TA L
C O A S TA L
BERMUDA
BERMUDA
C O A S TA L
560
FORAGE
561
O AT S
562
FORAGE
563
FORAGE
564
CORN
565
COTTON
567
COTTON
568
COTTON,
SORGHUM
H A Y,
FOR
FOR
SORGHUM
FOR
570
GRAIN
571
GUAR,
I R R I G AT E D ,
572
GUAR,
DRYLAND,
PEANUTS.
H A Y,
C12.13
C12.15
C12.17
C12.19
C12.21
DRYLAND
C12.23
I R R I G AT E D
C12.25
I R R I G AT E D
CORN,
DRYLAND,
GRAIN
I R R I G AT E D
SILAGE,
I R R I G AT E D ,
I R R I G AT E D
H A Y,
SORGHUM
I R R I G AT E D
I R R I G AT E D
GRAZE.
GRAZING,
I R R I G AT E D ,
I R R I G AT E D
E S TA B L I S H M E N T,
BERMUDA
569
573
H A Y,
FOOD
566
PA S T U R E .
I R R I G AT E D
C12.27
C12.29
LONG
SEASON
VA R I T I E S
C12.31
SHORT
SEASON
VA R I E T I E S
C12.33
SEASON
VA R I E T I E S
C12.35
SHORT
SORGHUM.
SORGHUM,
TEXAS
TEXAS
WINTER
WINTER
FLORUNNER.
DRYLAND
C12.37
I R R I G AT E D
C12.39
GARDEN
GARDEN
REGION
C12.41
REGION
C12.43
I R R I G AT E D
C12.45
5 7 4 P E A N U T S , S PA N I S H , D R Y L A N D , T E X A S W I N T E R G A R D E N R E G I O N . . . C 1 2 . 4 7
575
576
577
578
SOYBEANS,
I R R I G AT E D
SUNFLOWERS,
WINTER
WINTER
I R R I G AT E D
W H E AT,
W H E AT,
x
C12.49
C12.51
I R R I G AT E D
C12.53
DRYLAND
C12.55
ip*N
579
SPRING
580
SPRING
581
PROCESSED
CUCUMBERS
LETTUCE.
589
ONIONS.
591
595
FRESH
MARKET
PROCESSED
PECAN
C12.59
( I R R I G AT E D )
C12.61
ORCHARD,
C12.63
C12.65
I R R I G AT E D
CARROTS.
CUCUMBERS.
588
590
DRYLAND
I R R I G AT E D
CARROTS.
586
C12.57
I R R I G AT E D
C A N TA L O U P E S .
584
587
BEETS
CABBAGE,
583
I R R I G AT E D
W H E AT.
PROCESSED
582
585
W H E AT.
C12.67
I R R I G AT E D
I R R I G AT E D
(PICKLES)
C12.69
C12.71
I R R I G AT E D
C12.73
I R R I G AT E D
C12.75
I R R I G AT E D
SPINACH,
C12.77
I R R I G AT E D
SPINACH,
I R R I G AT E D
E S TA B L I S H M E N T
C12.79
C12.81
PHASE
C12.83
596 PECAN ORCHARD, PRE-PRODUCTION PHASE (YEARS 1-4) .... C12.85
5 9 7 P E C A N O R C H A R D , E A R LY P R O D U C T I O N P H A S E ( Y E A R S 5 - 1 0 ) . . . C 1 2 . 8 7
5 9 8 P E C A N O R C H A R D , O P E R AT I O N A L P H A S E ( Y E A R S 1 0 - 2 0 ) . . . . C 1 2 . 8 9
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 12 DATE: 110784 . C12.91
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 12 DATE: 110784 . C12.92
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 12 DATE: 110784 . C12.93
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION.12
D AT E : 11 0 6 8 4
C12.94
C12.95
592
COW-CALF
PRODUCTION
TEXAS
WINTER
GARDEN
REGION
L12.1
593
COW-CALF
PRODUCTION
TEXAS
WINTER
GARDEN
REGION
L12.3
594
COW-CALF
PRODUCTION
TEXAS
WINTER
GARDEN
REGION
L12.5
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 12
D AT E :
11 0 7 8 4
xi
L12.7
601 COASTAL BERMUDAGRASS ESTAB., DRYLAND, TEXAS CROSS TIMBERS REGION . . . C13.1
602 COASTAL BERMUDAGRASS HAY, DRYLAND, TEXAS CROSS TIMBERS REGION . . . C13.3
603 COASTAL BERMUDAGRASS PASTURE, DRYLAND, TEXAS CROSS TIMBERS REGION . . C13.5
604 CORN SILAGE, DRYLAND, TEXAS CROSS TIMBERS REGION .... C13.7
605 GRAIN SORGHUM, DRYLAND, TEXAS CROSS TIMBERS REGION C13.9
606 KLEINGRASS ESTABLISHMENT, DRYLAND, TEXAS CROSS TIMBERS REGION . . . C13.11
6 0 7 K L E I N G R A S S H A Y, D R Y L A N D , T E X A S C R O S S T I M B E R S R E G I O N C 1 3 . 1 3
6 0 8 K L E I N G R A S S PA S T U R E , D R Y L A N D , T E X A S C R O S S T I M B E R S R E G I O N C 1 3 . 1 5
6 0 9 N AT I V E G R A S S PA S T U R E , D R Y L A N D , T E X A S C R O S S T I M B E R S R E G I O N C 1 3 . 1 7
6 1 0 O AT S F O R G R A Z I N G . D R Y L A N D . T E X A S C R O S S T I M B E R S R E G I O N C 1 3 . 1 9
6 11 R U N N E R P E A N U T S , D R Y L A N D . T E X A S C R O S S T I M B E R S R E G I O N . . . C 1 3 . 2 1
612 RUNNER PEANUTS. DRYLAND, TEXAS CROSS TIMBERS REGION . . . C13.23
6 1 3 R U N N E R P E A N U T S , I R R I G AT E D , T E X A S C R O S S T I M B E R S R E G I O N . . . C 1 3 . 2 5
6 1 4 R U N N E R P E A N U T S . I R R I G AT E D , T E X A S C R O S S T I M B E R S R E G I O N . . . C 1 3 . 2 7
6 1 5 S PA N I S H P E A N U T S , D R Y L A N D . T E X A S C R O S S T I M B E R S R E G I O N . . . C 1 3 . 2 9
6 1 6 S PA N I S H P E A N U T S , I R R I G AT E D , T E X A S C R O S S T I M B E R S R E G I O N . . C 1 3 . 3 1
6 1 7 S U D A N - S O R G H U M H AY, D R Y L A N D , T E X A S C R O S S T I M B E R S R E G I O N . . C 1 3 . 3 3
6 1 8 S U D A N G R A S S PA S T U R E , D RY L A N D , T E X A S C R O S S T I M B E R S R E G I O N . . . . C 1 3 . 3 5
619
W H E AT,
DRYLAND,
TEXAS
CROSS
TIMBERS
REGION
C13.37
620
I R R I G AT E D
PEACHES,
TEXAS
CROSS
TIMBERS
REGION
C13.39
621
I R R I G AT E D
PEACHES,
TEXAS
CROSS
TIMBERS
REGION
C13.41
622
I R R I G AT E D
PEACHES,
TEXAS
CROSS
TIMBERS
REGION
C13.43
623
I R R I G AT E D
PEACHES,
TEXAS
CROSS
TIMBERS
REGION
C13.45
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 13 DATE: 110784 . C13.47
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 13 DATE: 110784 . C13.48
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND. ENGINEERING DATA FOR MACHINERY IN REGION 13
D AT E : 11 0 6 8 4
xi i
C13.49
C13.50
#*v
640
COW-CALF
PRODUCTION
TEXAS
CROSS
TIMBERS
REGION
L13.1
641
COW-CALF
PRODUCTION
TEXAS
CROSS
TIMBERS
REGION
L13.3
642
COW-CALF
PRODUCTION
TEXAS
CROSS
TIMBERS
REGION
L13.5
643
DAIRY
PRODUCTION
TEXAS
CROSS
TIMBERS
REGION
L13.7
644
DAIRY
PRODUCTION
TEXAS
CROSS
TIMBERS
REGION
L13.9
6 4 5 FA R R O W TO F I N I S H H O G P R O D U C T I O N T E X A S C R O S S T I M B E R S R E G I O N L 1 3 . 11
646 FEEDER PIG PRODUCTION TEXAS CROSS TIMBERS REGION L13.13
647
MARKET
648
G O AT
649
SHEEP
HOGS
TEXAS
CROSS
TIMBERS
REGION
L13.15
BUDGET
TEXAS
CROSS
TIMBERS
REGION
L13.17
TIMBERS
REGION
L13.19
BUDGET
TEXAS
CROSS
650 STOCKER CALF PRODUCTION TEXAS CROSS TIMBERS REGION L13.21
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 13
D AT E : 11 0 7 8 4
651
652
653
C O A S TA L
C O A S TA L
CORN.
655
COTTON,
657
662
663
664
DRYLAND,
DRYLAND,
TEXAS
O AT
DRYLAND,
H A Y.
SMALL
SUDAN
SUDAN
GRAIN
PRAIRIE
GRANDE
PRAIRIE
GRANDE
TEXAS
DRYLAND
PRAIRIE
PA S T U R E ,
DRYLAND.
DRYLAND
GRANDE
H A Y.
TEXAS
DRYLAND
PA S T U R E ,
E S TA B L I S H M E N T,
KLEINGRASS
O AT S .
H A Y,
GRANDE
TEXAS
KLEINGRASS
659
661
TEXAS
KLEINGRASS
658
660
BERMUDAGRASS
DRYLAND,
SORGHUM,
E S TA B L I S H M E N T.
BERMUDAGRASS
C O A S TA L
654
656
BERMUDAGRASS
GRANDE
GRAZING.
PA S T U R E .
H A Y.
xiii
REGION
REGION
REGION
DRYLAND
DRYLAND
DRYLAND
PRAIRIE
PRAIRIE
REGION
REGION
DRYLAND
DRYLAND
DRYLAND
L13.23
C14.1
C14.3
C14.5
C14.7
C14.9
C 1 4 . 11
C14.13
C14.15
C14.17
C14.19
C14.21
C14.23
C14.25
C14.27
665
HARD
WINTER
W H E AT,
DRYLAND
C14.29
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 14 DATE: 110784 . C14.31
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 14 DATE: 110784 . C14.32
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 14
D AT E : 11 0 6 8 4
C14.33
C14.34
690
COW-CALF
PRODUCTION
TEXAS
GRAND
PRAIRIE
REGION
L14.1
691
COW-CALF
PRODUCTION
TEXAS
GRAND
PRAIRIE
REGION
L14.3
692
STOCKER
PRODUCTION
TEXAS
GRAND
PRAIRIE
REGION
L14.5
693
STOCKER
PRODUCTION
TEXAS
GRAND
PRAIRIE
REGION
L14.7
REGION
L14.9
694
DAIRY
PRODUCTION
695
DAIRY
PRODUCTION
696
G O AT
697
SHEEP
BUDGET
TEXAS
TEXAS
TEXAS
BUDGET
GRAND
GRAND
GRANDE
TEXAS
PRAIRIE
PRAIRIE
PRAIRIE
GRANDE
PRAIRIE
REGION
L 1 4 . 11
REGION
L14.13
REGION
L14.15
698 FEEDER PIG PRODUCTION TEXAS GRANDE PRAIRIE REGION L14.17
6 9 9 FA R R O W TO F I N I S H H O G P R O D U C T I O N T E X A S G R A N D P R A I R I E R E G I O N L 1 4 . 1 9
700
FINISHING
HOGS
TEXAS
GRAND
PRAIRIE
REGION
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 14
D AT E : 11 0 7 8 4
704
705
C O A S TA L
C O A S TA L
706
C O A S TA L
708
CORN,
709
COTTON,
712
SORGHUM.
716
717
718
BERMUDAGRASS
E S TA B L I S H M E N T,
BERMUDAGRASS
BERMUDAGRASS
DRYLAND,
TEXAS
DRYLAND,
DRYLAND.
KLEINGRASS
KLEINGRASS
KLEINGRASS
H A Y,
DRYLAND
PA S T U R E ,
BLACKLAND
TEXAS
BLACKLAND
TEXAS
BLACKLAND
E S TA B L I S H M E N T.
H A Y.
PA S T U R E ,
xiv
DRYLAND
L14.21
L14.23
C15.1
C15.3
DRYLAND
C15.5
REGION
C15.7
REGION
REGION
DRYLAND
DRYLAND
DRYLAND
C15.9
C 1 5 . 11
C15.13
C15.15
C15.17
721
722
724
O AT S ,
O AT
DRYLAND,
H A Y,
DRYLAND,
SMALL
726
BLACKLAND
TEXAS
GRAIN
SUDAN
728
TEXAS
BLACKLAND
GRAZING.
PA S T U R E ,
SUDAN
REGION
REGION
DRYLAND
C15.19
C15.21
C15.23
DRYLAND
H A Y,
C15.25
DRYLAND
C15.27
7 3 0 H A R D W I N T E R W H E A T, D R Y L A N D . T E X A S B L A C K L A N D R E G I O N . . . C 1 5 . 2 9
731
CORN
FOLLOWING
732
COTTON
COTTON,TEXAS
FOLLOWING
CORN,TEXAS
BLACKLAND
REGION
C15.31
BLACKLAND
REGION
C15.33
733 SORGHUM FOLLOWING COTTON,TEXAS BLACKLAND REGION .... C15.35
7 3 4 H A R D W I N T E R W H E AT F O L L O W I N G C O R N , T E X A S B L A C K L A N D R E G I O N . . C 1 5 . 3 7
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 15 DATE: 111584 . C15.39
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 15 DATE: 111584 . C15.40
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
C15.41
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 15
D AT E : 111 5 8 4
741
COW-CALF
742
STOCKER
743
DAIRY
744
FEEDER
745
PRODUCTION
CALF
PRODUCTION
PRODUCTION
PIG
FINISHING
TEXAS
HOGS
TEXAS
TEXAS
PRODUCTION
BLACKLANDS
TEXAS
REGION
BLACKLANDS
BLACKLANDS
TEXAS
C15.42
BLACKLANDS
BLACKLANDS
REGION
REGION
REGION
REGION
L15.1
L15.3
L15.5
L15.7
L15.9
7 4 8 C O N T R A C T C A G E E G G P R O D U C T I O N , T E X A S B L A C K L A N D S R E G I O N L 1 5 . 11
749 CONTRACT COMMERCIAL PULLETS, TEXAS BLACKLANDS REGION L15.13
738 CONTRACT BROILER BREEDER PRODUCTION, TEXAS BLACKLANDS REGION L15.15
739 CONTRACT BREEDER PULLETS, TEXAS BLACKLANDS REGION L15.17
740
CONTRACT
BROILERS,
TEXAS
BLACKLANDS
REGION
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 15
D AT E : 11 0 7 8 4
L15.19
L15.21
7 5 1 B U F F E L G R A S S PA S T U R E E S TA B L I S H M E N T, ( C U LT I VAT E D L A N D ) , D RY L A N D C 1 6 . 1
752
753
BUFFEL
GRASS
BUFFLE
E S T.
(MARGINAL
GRASS
LAND)
PA S T U R E ,
DRYLAND
DRYLAND
C16.3
"""^
C16.5
7 5 4 C O A S TA L B E R M U D A PA S T U R E E S TA B L I S H M E N T, D R Y L A N D . . . . C 1 6 . 7
755
C O A S TA L
BERMUDA
PA S T U R E ,
DRYLAND
C16.9
7 5 6 C O A S T A L B E R M U D A P A S T U R E , E S T A B L I S H M E N T, I R R I G A T E D . . . . C 1 6 . 1 1
757
758
759
C O A S TA L
C O A S TA L
BERMUDA
C O A S TA L
760
FORAGE
761
O AT S
762
FORAGE
PA S T U R E ,
H A Y,
H A Y,
FOR
FOR
764
CORN
FOR
FOOD
SILAGE,
COTTON
I R R I G AT E D ,
LONG
767
COTTON
I R R I G AT E D ,
SHORT
768
COTTON,
DRYLAND,
770
GRAIN
771
772
773
I R R I G AT E D
I R R I G AT E D
SEASON
SHORT
SEASON
SORGHUM.
GUAR.
C16.13
C16.15
C16.17
C16.19
C16.21
C16.23
C16.25
C16.27
C16.29
VA R I T I E S
C16.31
VA R I T I E S
C16.33
VA R I E T I E S
C16.35
SEASON
SORGHUM,
DRYLAND
C16.37
I R R I G AT E D
C16.39
I R R I G AT E D
C16.41
DRYLAND
C16.43
GUAR,
PEANUTS,
LAND
I R R I G AT E D
766
GRAIN
DRY
H A Y,
CORN,
769
I R R I G AT E D
I R R I G AT E D
H AY
SORGHUM
I R R I G AT E D
I R R I G AT E D
GRAZE,
GRAZING,
SORGHUM
FORAGE
I R R I G AT E D
E S TA B L I S H M E N T,
BERMUDA
SORGHUM
763
765
BERMUDA
FLORUNNER,
I R R I G AT E D
)
C16.45
7 7 4 P E A N U T S , S PA N I S H , D R Y L A N D , T E X A S W I N T E R G A R D E N R E G I O N . . . C 1 6 . 4 7
775
776
SOYBEANS,
I R R I G AT E D
SUNFLOWERS,
777
WINTER
778
WINTER
I R R I G AT E D
W H E AT,
C16.49
C16.51
I R R I G AT E D
C16.53
DRYLAND
C16.55
^ ^ k
W H E AT,
xv i
AlFk
779
780
781
SPRING
SPRING
786
CUCUMBERS,
LETTUCE,
789
ONIONS,
791
FRESH
MARKET
PROCESSED
C16.59
I R R I G AT E D
C16.61
C16.63
I R R I G AT E D
I R R I G AT E D
C16.73
C16.75
I R R I G AT E D
SPINACH,
C16.69
C16.71
I R R I G AT E D
SPINACH,
C16.65
C16.67
I R R I G AT E D
(PICKLES)
788
DRYLAND
I R R I G AT E D
CARROTS,
CUCUMBERS
C16.57
I R R I G AT E D
CARROTS,
PROCESSED
I R R I G AT E D
I R R I G AT E D
C A N TA L O U P E S ,
784
790
BEETS
CABBAGE,
783
787
W H E AT,
PROCESSED
782
785
W H E AT,
C16.77
I R R I G AT E D
I R R I G AT E D
C16.79
C16.81
[ LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 16 DATE: 110784 . C16.83
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 16 DATE: 110784 . C16.84
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 16
D AT E : 11 0 6 8 4
C16.85
C16.86
792 COW-CALF PRODUCTION TEXAS EDWARDS AQUIFER REGION L16.1
793 COW-CALF PRODUCTION TEXAS EDWARDS AQUIFER REGION L16.3
794 COW-CALF PRODUCTION TEXAS EDWARDS AQUIFER REGION L16.5
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 16
D AT E :
11 0 7 8 4
L16.7
801
C17.1
802
BUFFLE
BUFFEL
GRASS
GRASS
E S TA B L I S H M E N T,
PA S T U R E ,
DRYLAND
DRYLAND
C17.3
803 COASTAL BERMUDAGRASS ESTAB., DRYLAND, LOWER SOUTH CENTRAL TEXAS . . C17.5
804 COASTAL BERMUDAGRASS PASTURE. DRYLAND. LOWER SOUTH CENTRAL TEXAS . . C17.7
ifPsy
805 KLEINGRASS ESTABLISHMENT. DRYLAND, LOWER SOUTH CENTRAL TEXAS REGION C17.9
xv i i
806 KLEINGRASS PASTURE, DRYLAND, LOWER SOUTH CENTRAL TEXAS REGION . C17.11
807 FORAGE SORGHUM HAY, DRYLAND, LOWER SOUTH CENTRAL TEXAS .... C17.13
808 GRAIN SORGHUM, DRYLAND, LOWER SOUTH CENTRAL TEXAS C17.15
809 GRAIN SORGHUM, IRRIGATED, LOWER SOUTH CENTRAL TEXAS REGION . . C17.11
8 1 0 W H E AT F O R G R A I N , D RY L A N D , L O W E R S O U T H C E N T R A L T E X A S C 1 7 . 1 9
811 PEANUTS, SPANISH, DRYLAND, LOWER SOUTH CENTRAL TEXAS REGION . . C17.21
812 PEANUTS. SPANISH, IRRIGATED, LOWER SOUTH CENTRAL TEXAS REGION . . C17.23
8 1 3 W AT E R M E L O N S . D R Y L A N D , L O W E R S O U T H C E N T R A L T E X A S C 1 7 . 2 5
814 WATERMELONS. IRRIGATED. LOWER SOUTH CENTRAL TEXAS REGION . . . C17.27
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 17 DATE: 110784 . C17.29
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 17 DATE: 110784 . C17.30
D E FA U LT PA R A M E T E R VA L U E S A N D D E F I N I T I O N S C 1 7 . 3 1
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 17
D AT E : 11 0 6 8 4
C17.32
841
COW-CALF
PRODUCTION
SOUTH
TEXAS
REGION
L17.1
842
COW-CALF
PRODUCTION
SOUTH
TEXAS
REGION
L17.3
843
COW-CALF
PRODUCTION
SOUTH
TEXAS
REGION
L17.5
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EOUIPMENT IN REGION 17
D AT E :
11 0 7 8 4
L17.7
851
C18.1
852
UPLAND
COTTON,
CORN,
DRYLAND,
C O A S TA L
TEXAS
BEND
C O A S TA L
REGION
BEND
REGION
^ ^ k
C18.3
853 GRAIN SORGHUM, COASTAL PLAIN, TEXAS COASTAL BEND REGION . . C18.5
8 5 4 G R A I N S O R G H U M , U P L A N D , T E X A S C O A S TA L B E N D R E G I O N . . . C 1 8 . 7
855
C O A S TA L
856
PEANUTS,
DRYLAND,
857
PEANUTS.
I R R I G AT E D .
858
859
PLAIN
SOYBEANS.
WAT E R M E L O N S .
CORN,
C O A S TA L
C O A S TA L
C O A S TA L
C O A S TA L
C O A S TA L
xvi i i
BEND
BEND
BEND
BEND
BEND
REGION
C18.9
REGION
C 1 8 . 11
REGION
C18.13
REGION
REGION
C18.15
C18.17
^*%.
861 COASTAL BERMUDAGRASS ESTAB., DRYLAND, TEXAS COASTAL BEND REGION C18.19
8 6 3 K L E I N G R A S S E S TA B L I S H M E N T, D R Y L A N D . C O A S TA L B E N D R E G I O N . . C 1 8 . 2 1
8 6 2 K L E I N G R A S S PA S T U R E , D R Y L A N D , C O A S TA L B E N D R E G I O N . . . . C 1 8 . 2 3
864 COASTAL BERMUDAGRASS PASTURE, DRYLAND, TEXAS COASTAL BEND REGION C18.25
8 6 6 B U F F E L G R A S S E S TA B . , D RY L A N D . T E X A S C O A S TA L B E N D R E G I O N . . . C 1 8 . 2 7
8 6 5 B U F F E L G R A S S PA S T U R E , D RY L A N D , T E X A S C O A S TA L B E N D R E G I O N . . C 1 8 . 2 9
870
UPLAND
CORN,
C O A S TA L
BEND
REGION
C18.31
8 7 1 G R A I N S O R G H U M , U P L A N D , T E X A S C O A S TA L B E N D R E G I O N . . . . C 1 8 . 3 3
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 18 DATE: 110584 . C18.35
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 18 DATE: 110584 . C18.36
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 18
D AT E : 11 0 5 8 4
C18.37
C18.38
892
COW-CALF
PRODUCTION
TEXAS
C O A S TA L
BEND
REGION
L18.1
893
COW-CALF
PRODUCTION
TEXAS
C O A S TA L
BEND
REGION
L18.3
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EQUIPMENT IN REGION 18
D AT E : 111 2 8 4
901
COTTON,
DRYLAND,
TEXAS
902
COTTON,
I R R I G AT E D , T E X A S
RIO
RIO
GRANDE
GRANDE
VA L L E Y
L18.5
REGION
C19.1
VA L L E Y R E G I O N
C19.3
9 0 3 G R A I N S O R G H U M , D R Y L A N D , T E X A S R I O G R A N D E VA L L E Y R E G I O N . . . . C 1 9 . 5
9 0 4 G R A I N S O R G H U M . I R R I G AT E D , T E X A S R I O G R A N D E VA L L E Y R E G I O N . . . . C 1 9 . 7
9 0 7 L E T T U C E , I R R I G AT E D , T E X A S R I O G R A N D E VA L L E Y R E G I O N C 1 9 . 9
908
YELLOW
ONIONS.
I R R I G AT E D
C 1 9 . 11
909 FRESH SPRING TOMATOES, IRRIGATED, TEXAS RIO GRANDE VALLEY REGION . . C19.13
910 CITRUS ESTABLISHMENT, 1ST YEAR, IRRIGATED, TEXAS RIO GRANDE VALLEY . C19.15
911 CITRUS ESTABLISHMENT, 2ND YEAR, IRRIGATED, TEXAS RIO GRANDE VALLEY . C19.17
912 GRAPEFRUIT ESTABLISHMENT, 3RD YEAR, IRRIGATED, TEXAS RIO GRANDE VALLEY C19.19
913 GRAPEFRUIT ESTABLISHMENT, 4TH YEAR, IRRIGATED, TEXAS RIO GRANDE VALLEY C19.21
xix
914 GRAPEFRUIT, MATURE GROVE, IRRIGATED, TEXAS RIO GRANDE VALLEY . . . C19.23
915 GRAPEFRUIT, PURCHASED MATURE GROVE, IRRIGATED, TEXAS RIO GRANDE VALLEY C19.25
916 ORANGES ESTABLISHMENT, 3RD YEAR, IRRIGATED, TEXAS RIO GRANDE VALLEY . C19.27
917 ORANGES ESTABLISHMENT, 4TH YEAR, IRRIGATED, TEXAS RIO GRANDE VALLEY . C19.29
918 ORANGES, MATURE GROVE, IRRIGATED, TEXAS RIO GRANDE VALLEY . . . C19.31
919 ORANGES, PURCHASED MATURE GROVE, IRRIGATED, TEXAS RIO GRANDE VALLEY C19.33
920
CORN,
I R R I G AT E D .
820
BROCCOLI,
821
R ATO O N
822
PLANT
823
824
I R R I G AT E D ,
CANE,
CANE,
JALAPENO
CHILI
TEXAS
RIO
GRANDE
GRANDE
I R R I G AT E D ,
I R R I G AT E D ,
PEPPERS,
PEPPERS,
RIO
RIO
RIO
I R R I G AT E D ,
I R R I G AT E D ,
VA L L E Y
VA L L E Y
GRANDE
GRANDE
RIO
RIO
GRANDE
GRANDE
REGION
C19.35
REGION
C19.37
VA L L E Y
C19.39
VA L L E Y
C19.41
VA L L E Y
VA L L E Y
C19.43
C19.45
926 BUFFLE GRASS ESTABLISHMENT, DRYLAND, TEXAS RIO GRANDE VALLEY REGION C19.47
9 2 7 B U F F E L G R A S S , D R Y L A N D , T E X A S R I O G R A N D E VA L L E Y R E G I O N C 1 9 . 4 9
929 BERMUDA TYPE GRASSES, ESTAB., IRRIGATED, TEXAS RIO GRANDE VALLEY REGION C19.51
928 BERMUDA GRASS HAY, IRRIGATED, TEXAS RIO GRANDE VALLEY REGION . . C19.53
9 3 1 B E R M U D A PA S T U R E , I R R I G AT E D , T E X A S R I O G R A N D E VA L L E Y R E G I O N . C 1 9 . 5 5
932
SOYBEANS,
I R R I G AT E D ,
TEXAS
RIO
GRANDE
VA L L E Y
C19.57
9 3 3 B E L L P E P P E R S , I R R I G AT E D , T E X A S R I O G R A N D E VA L L E Y R E G I O N C 1 9 . 5 9
9 3 4 C A B B A G E , I R R I G AT E D . T E X A S R I O G R A N D E VA L L E Y R E G I O N C 1 9 . 6 1
9 3 5 C A N TA L O U P S , I R R I G AT E D , T E X A S R I O G R A N D E VA L L E Y R E G I O N . . . . C 1 9 . 6 3
9 3 6 C A R R O T S , I R R I G AT E D , T E X A S R I O G R A N D E VA L L E Y R E G I O N C 1 9 . 6 5
9 3 7 C U C U M B E R S , I R R I G AT E D , T E X A S R I O G R A N D E VA L L E Y R E G I O N C 1 9 . 6 7
9 3 8 H O N E Y D E W S . I R R I G AT E D , T E X A S R I O G R A N D E VA L L E Y R E G I O N C 1 9 . 6 9
9 3 9 G R A I N S O R G H U M , D R Y L A N D , T E X A S R I O G R A N D E VA L L E Y R E G I O N . . C 1 9 . 7 1
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 19 DATE: 111284 . C19.73
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 19 DATE: 111284 . C19.74
xx
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
C19.75
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 19
D AT E : 11 0 6 8 4
C19.76
941
COW-CALF
PRODUCTION
TEXAS
RIO
GRANDE
REGION
L19.1
942
COW-CALF
PRODUCTION
TEXAS
RIO
GRANDE
REGION
L19.3
943
COW-CALF
PRODUCTION
TEXAS
RIO
GRANDE
REGION
L19.5
944
COW-CALF
PRODUCTION
TEXAS
RIO
GRANDE
REGION
L19.7
945
STOCKER
CALF
PRODUCTION
TEXAS
RIO
GRANDE
REGION
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EQUIPMENT IN REGION 19
D AT E : 11 0 7 8 4
951
CORN,
952
CORN,
953
COTTON,
DRYLAND,
DEEP
DRYLAND,
EAST
DEEP
DRYLAND,
TEXAS
EAST
DEEP
EAST
TEXAS
TEXAS
REGION
L19.9
L 1 9 . 11
C20.
1
REGION
C20.3
REGION
C20.5
954 GRAIN SORGHUM, DRYLAND. DEEP EAST TEXAS REGION .... C20.7
955 GRAIN SORGHUM. DRYLAND, DEEP EAST TEXAS REGION .... C20.9
956
PEANUTS,
DRYLAND,
DEEP
EAST
957
PEANUTS.
I R R I G AT E D ,
DEEP
EAST
958
SOYBEANS,
DRYLAND,
DEEP
EAST
TEXAS
REGION
C 2 0 . 11
TEXAS
REGION
C20.13
TEXAS
REGION
C20.15
962 SOUTHERN PEAS (FRESH MARKET), DRYLAND, DEEP EAST TEXAS REGION . C20.17
963 SWEET CORN PRODUCTION, DRYLAND, DEEP EAST TEXAS REGION . . C20.19
968 COMMON BERMUDAGRASS PASTURE, DRYLAND. DEEP EAST TEXAS REGION . C20.21
969 COMMON BERMUDA - CLOVER. DRYLAND, DEEP EAST TEXAS REGION . . C20.23
970 CRIMSON CLOVER EXTABLISHMENT, DRYLAND, DEEP EAST TEXAS REGION . C20.25
971 LA S-1 CLOVER ESTABLISHMENT, DRYLAND, DEEP EAST TEXAS REGION . C20.27
972 ARROWLEAF CLOVER ESTABLISHMENT, DRYLAND, DEEP EAST TEXAS REGION C20.29
9 7 3 L O V E G R A S S PA S T U R E , D R Y L A N D , D E E P E A S T T E X A S R E G I O N . . . C 2 0 . 3 1
9 7 4 S M A L L G R A I N S PA S T U R E . D R Y L A N D . D E E P E A S T T E X A S R E G I O N . . C 2 0 . 3 3
975 SUMMER TEMPORARY PASTURE, DRYLAND, DEEP EAST TEXAS REGION . . C20.35
xxi
9 7 7 C H R I S T M A S T R E E E S TA B L I S H M E N T, D E E P E A S T T E X A S R E G I O N . . . C 2 0 . 3 7
978 CHRISTMAS TREE PRODUCTION, SECOND YEAR, DEEP EAST TEXAS REGION C20.39
979 CHRISTMAS TREE PRODUCTION, THIRD YEAR, DEEP EAST TEXAS REGION . C20.41
980 CHRISTMAS TREE'PRODUCTION (WHOLESALE), FOURTH YEAR C20.43
9 8 1 C H R I S T M A S T R E E P R O D U C T I O N ( C H O O S E A N D C U T ) , F O U RT H Y E A R . . . . C 2 0 . 4 5
9 8 5 B A H I A G R A S S PA S T U R E , D R Y L A N D , D E E P E A S T T E X A S R E G I O N . . . . C 2 0 . 4 7
986 COASTAL BERMUDAGRASS ESTABLISHMENT, DRYLAND, DEEP EAST TEXAS REGION . C20.49
987 COASTAL BERMUDAGRASS ESTABLISHMENT, DRYLAND, DEEP EAST TEXAS
REGION
C20.51
9 8 8 C O A S TA L B E R M U D A G R A S S H AY. D R Y L A N D , D E E P E A S T T E X A S R E G I O N C 2 0 . 5 3
9 8 9 C O A S TA L B E R M U D A PA S T U R E . D RY L A N D , D E E P E A S T T E X A S R E G I O N . . C 2 0 . 5 5
9 9 0 C O A S TA L B E R M U D A - C L O V E R , D R Y L A N D , D E E P E A S T T E X A S R E G I O N . . C 2 0 . 5 7
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 20' DATE: 111484 . C20.59
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 20 DATE: 111484 . C20.60
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 20
D AT E : 111 4 8 4
991
COW-CALF
992
STOCKER
993
MARKET
994
PRODUCTION
CALF
HOG
CONTRACT
DEEP
PRODUCTION
PRODUCTION
BROILERS
EAST
DEEP
DEEP
DEEP
TEXAS
EAST
EAST
EAST
C20.62
REGION
TEXAS
TEXAS
TEXAS
C20.61
L20.1
REGION
L20.3
REGION
L20.5
REGION
L20.7
995 CONTRACT BROILER BREEDER PRODUCTION, DEEP EAST TEXAS REGION L20.9
998
CONTRACT BREEDER
996
FEEDER
997
DAIRY
PIG
P U L L E T,
PRODUCTION
PRODUCTION
DEEP EAST TEXAS
DEEP
DEEP
EAST
EAST
REGION
TEXAS
TEXAS
REGION
REGION
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EQUIPMENT IN REGION 20
D AT E : 11 0 7 8 4
L 2 0 . 11
L20.13
L20.15
L20.17
1060
RICE,
I R R I G AT E D ,
TEXAS
UPPER
GULF
COAST
REGION
C21.1
1061
RICE,
I R R I G AT E D ,
TEXAS
UPPER
GULF
COAST
REGION
C21.3
xxi i
1062 SOYBEANS, DRYLAND, TEXAS UPPER GULF COAST REGION .... C21.5
1063 SOYBEANS, DRYLAND, TEXAS UPPER GULF COAST REGION C21.7
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 22 DATE: 110784 . C21.9
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 22
D AT E = 11 0 7 8 4
1041
COW-CALF
C21.10
C 2 1 . 11
PRODUCTION
L21.1
LISTING OF ECONOMIC AND ENGINEERING DATA FOR EQUIPMENT IN REGION 15
D AT E :
11 0 7 8 4
L21.3
1051 COTTON, DRYLAND, TEXAS MIDDLE GULF COAST REGION .... C22.1
1052 COTTON, DRYLAND, TEXAS MIDDLE GULF COAST REGION .... C22.3
1053 GRAIN SORGHUM. DRYLAND. TEXAS MIDDLE GULF COAST REGION . . . C22.5
1054 GRAIN SORGHUM, DRYLAND, TEXAS MIDDLE GULF COAST REGION . . . C22.7
1055
RICE,
I R R I G AT E D ,
1056
RICE,
I R R I G AT E D ,
TEXAS
TEXAS
MIDDLE
MIDDLE
GULF
GULF
COAST
COAST
REGION
REGION
C22.9
C 2 2 . 11
1057 SOYBEANS, DRYLAND, TEXAS MIDDLE GULF COAST REGION C22.13
1058 SOYBEANS, DRYLAND, TEXAS MIDDLE GULF COAST REGION .... C22.15
LISTING OF THE NAME SET AND PRICE VECTOR REGION NUMBER: 22 DATE: 110784 . C22.17
D E FA U LT
PA R A M E T E R
VA L U E S
AND
DEFINITIONS
LISTING OF ECONOMIC AND ENGINEERING DATA FOR MACHINERY IN REGION 22
D AT E = 11 0 7 8 4
Budget
Index
C22.18
C22.19
11
F*N AN INTRODUCTION TO THE TEXAS CROP AND LIVESTOCK BUDGETS*
Estimating the production costs and returns of farm enterprises for planning purposes is a
difficult, but important, task. Timely and accurate cost of production estimates are necessary:
(a) to make input use decisions, and to arrange for operating capital requirements, (b) for
enterprise selection, (c) to estimate the potential profitability of capital investment decisions,
and (d) to develop marketing strategies and assess their impact on costs and returns.
Budgeting is a deceivingly simple tool which can be used for analysis of problems ranging
from day-to-day detailed choices to major questions about the size and type of farm business.
Budgeting, as a management tool, is the testing and estimation of likely outcomes from
decisions before they are implemented. Enterprise budgets are both a product of and the basic
building block for the planning process.
'W^
The Texas Crop and Livestock Budgets are projected enterprise budgets jointly prepared by
the Texas Agricultural Extension Service (TAEX) and the Texas Agricultural Experiment Station
(TAES) to assist farmers and ranchers in estimating "real" economic costs and returns of
production, in current dollars.1 The information presented in the budgets is prepared as a
management planning guideline and therefore is not intended to recognize or predict the costs
and returns from any particular farm or ranch operation. It is suggested that users modify the
budgets to fit their individual situations by making changes in yields, input levels, prices and
other factors. A column titled "Your Estimate" is provided on each budget to make
* Prepared by Steven C. Griffin, Assistant Professor, and James M. McGrann, Associate
Professor, DepL of Agricultural Economics, Texas A&M University, College Station,
February, 1982, and revised annually by Robert H. Jenson, Assistant for Management
Analysis, Texas Agricultural Extension Service. This paper is designed to accompany the
distribution of the Texas Crop and Livestock Budgets (TAEX).
1 Alternative procedures are mixed in their method of handling the impact of inflation on
costs, or attempt to estimate nominal cash costs of production either before or after relevant
taxes. In fact, most budgets are a mixed bag of nominal, real, before-tax, after-tax, cash
and non-cash concepts and procedures.
modifications convenient. Furthermore, the expiration date on each budget indicates updating is ^-m
necessary.
The 1985 crop budgets include the anticipated government deficiency payments for cotton,
corn, sorghum, and wheat. To qualify for these payments producers must be in compliance
with the government program for the respective crops. In evaluating the whole farm situation
proper acreage adjustments and fallow acreage costs must be included when determining costs
and returns per acre.
Procedure
One of the major problems involved in enterprise budgeting is the lack of information
concerning the amount of production which will result from a particular combination of
inputs. Information for the Texas Crop and Livestock budgets is assembled from published and
unpublished sources. The data are obtained and continually revised with the cooperation of
farmers, ranchers, and agribusiness firms through informal surveys and personal contacts. Data
supplied by these sources are confidential and provide average values which are used in
developing and revising budgets. Scientific sampling techniques required to produce statistically
reliable estimates, however, are not used due to time and cost limitations. When possible,
published information from the Texas Statistical Reporting Service and published research
from the Texas Agricultural Experiment Station (TAES) are used in preparation of the budgets.
Regionally based agricultural economists provide leadership in assembling the data and
constructing the budgets.
The input levels used, the combination of inputs and machinery operations, and the type
and length of ownership of machinery and equipment are not necessarily profit-maximizing.
They are only believed to be representative or typical for the specified geographic area.
Budget preparation is a time consuming task involving numerous data and mathematical
calculations. A computer program has been developed to aid in budget preparation. The TAEX
budgets are prepared using a modified version of the Oklahoma State University Enterprise
f^ Budget Generator.2 This computerized tool stores and retrieves base data, prices, and other
factors; calculates machinery, capital, and labor costs; organizes the costs and returns in a
variety of formats; and performs a number of budgeting analyses.
Terminology Used in Budgets
An enterprise budget is an economic recipe for the production of a commodity usually
expressed in terms of the production unit (e.g., per bushel, per head, etc.) or by a common
resource (e.g., per acre of cropland). It is a statement of all expected revenues and expenses,
both actual and imputed.
There are three general types of costs that make up the total economic cost of producing
any farm commodity. These are variable costs, fixed costs, and overhead costs.
Variable costs (sometimes referred to as operating costs) are those short-run costs that may
change with changes in level of production and/or are controlled by the manager. They are
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generally the cost of items that will be used up during one production cycle. If the manager
decided to cease the production activity, these costs are avoidable. Examples are such operating
inputs as fuel, fertilizer, chemicals and some hired labor costs. In the long run, all production
costs are variable.
In the TAEX published budgets, variable costs are further divided into pre-harvest and
harvest costs. This separation is particularly useful for decisionmaking in which crop
abandonment or graze-out are common practices. Once variable costs are incurred (e.g.,
seed after planting), they have the characteristics of fixed costs and are referred to as "sunk"
costs.
Income above variable costs serves to guide most farm management decisions, particularly
in the short run. If income over variable costs is negative, and since variable costs are by
definition avoidable, a producer will minimize his losses by ceasing production. Selecting
2 Kletke, Darrel D., "Operation of the Enterprise Budget Generator." Research Report, P.-790,
Okla. Ag. Exper. Station, Stillwater, August, 1979. (Source code dated October, 1979 and
since revised.)
3
enterprises which maximize income over variable costs will lead to greater short-run profit ^^
Fixed costs may be defined as those costs that either do not change with the level of
production or cannot be controlled or avoided. Examples are items such as property taxes,
insurance, depreciation, and interest on investment. Cash or fixed dollar land rents and owneroperator labor may also be considered fixed costs.
Fixed and variable cost analysis is a useful tool in determining profitability of an
investment (e.g., machinery) based on its life or ownership period. It can aid in determining
the best replacement policies, whether to own or custom-hire services, and a host of other
decisions. However, fixed and variable cost analysis does not adequately explain the cash flow
and income tax effects of an investment Cash flow analysis is directed more to the question
of fiscal feasibility, or the ability to meet the financial obligations of the investment, than to
the question of profitability. Consequently, the two types of analysis must be used together in
order to present a clear and total picture of investment alternatives.
Overhead costs are costs of machinery, equipment, buildings, and management that cannot
be directly identified with an individual enterprise. Since these items are involved in the
overall farm operation, it is sometimes difficult to reasonably include them in enterprise
budgets. Examples of overhead costs might be telephone service, office supplies, general
utilities, legal, and secretarial expenses.
The allocation of fixed and overhead costs is not generally required for most farm
management decisionmaking. At best, it is an arbitrary procedure for shared resources (e.g., the
fixed costs are allocated by percentage of total annual use in the Texas budgets). However,
estimates of the fixed resource requirements and the relative efficiency at which alternative
enterprises use fixed and limiting resources is important to enterprise selection.
The concept of opportunity cost, rather than incidence of cost, is used in estimating a
number of production cost items. The opportunity cost of a production resource is its current
value in its next best alternative use. The opportunity cost concept is useful in estimating the
appropriate costs of inputs that are either not purchased or do not have a clear market value,
such as equity capital, land rents, returns to operator labor, and farm-produced feedstuffs.
Cost incidence versus opportunity cost is the primary difference between economic cost of
production and cost estimates derived from cost accounting records when all inputs to the
production process are included.
The projected net return in the budgets (the "bottom line") is the residual returns
remaining after accounting for accrued and imputed costs to other factors of production. (The
variable and fixed costs discussed above.) In most cases, the net return is a projected return to
certain overhead, management, and profit (risk) for the enterprise, the only remaining factors
of production for which returns have not been imputed.
Inflation's Effect on the Budgets
Inflation has become a pervasive part of the economic setting facing agricultural producers.
Inflation is defined as a rising general level of prices. And, as a result, dollar values from
different time periods (past, current, future) are not comparable in their "real" or "equivalent
purchasing power" value. One method of accounting for inflation's effects is to express all
economic values in "real" terms based on the current year's purchasing power of the dollar as
the standard (constant-value) monetary unit.
Most of the gross returns and variable costs in the enterprise budgets relate to only the
current production period. These returns and costs are expressed in current dollars and, by our
standard, they are the real returns and real costs for the enterprise.
The interest rate used to calculate capital costs and the calculation of machinery and
equipment ownership costs involve considerations over several production periods.
The current or nominal interest rate that is charged by financial institutions contains an
inflation premium. The relevant "real" interest rate may be substantially less than the nominal
rate, depending on the rate of inflation.
The real interest rate may be calculated as: 1 + nominal rate - 1
1 + inflation rate
Thus, an 18 percent interest rate charged by financial institutions during a period of 12
percent inflation translates into a 1 + .18 - 1
1 + .12
or a 5.36 percent real rate of interest. In this manner, the cost of owning machinery, for
example, where nominal value may be actually appreciating over time even though it is
depreciating relative to the cost of its replacement, will be more accurately represented.
While the real interest rate provides a look at the cost of production apart from inflation's
effect, it is equally important to remember that the cash required to pay the interest charge
on borrowed capital is based on the nominal rate. With inflation, some economic returns may
be in the form of increased values (e.g., land and used machinery). These returns are in the
form of capital gain (in nominal terms) and may, therefore, not be available to meet current
cash requirements except through liquidation.
Price and Yield Effects
A projected enterprise budget is generally calculated on the basis of one price and yield
combination for each product of the enterprise being analyzed. In reality, producers face
substantial risk and uncertainty about the amount of the commodity they will produce or the
price they will receive for the commodity. Printed on the back of each crop budget is an
analysis that shows the impact that several levels of price and yield for the primary product
have on net return.3 In addition to the "price times quantity" impact, the net return figures
are adjusted for designated quantity-related costs (e.g., per bushel drying costs and share-rents)
and total revenue related costs (e.g., percentage commission fees).
Calculating Annual Capital Requirements
Annual operating capital is the average annual short-term capital needed to cover variable
operating costs from the beginning of the annual production cycle to the end, (the annual
capital month). Internally generated funds (e.g„ from the sale of products of the enterprise)
3 Each step represents a 10 percent deviation from the base budget in either price or yield, or
both, of the primary product of the enterprise budget
offset the operating input (cash) expenses with any cash surplus carried forward and any
deficit constituting an operating capital requirement An annual capital requirement averages the
surplusses and deficits. Therefore, it is important not to interpret the average annual operating
capital requirement as the maximum or minimum level of short-term financing required by the
enterprise. Furthermore, annual average capital requirements may even be negative, if
accumulated monthly receipts are greater than accumulated operating expenses, by month, over
the production cycle, and the enterprise credited for the value of operating capital.
Calculating Machinery and Equipment Ownership Costs
One of the more difficult tasks in estimating costs of production is estimating the cost of
owning and operating farm machinery. Coupled with this difficulty is the associated problem
of how to allocate the cost of items (e.g., tractors) shared by a number of enterprises on a
farm.
Current replacement values and capital budgeting techniques are used as the basis for
calculating machinery and equipment projected ownership costs (depreciation, interest, taxes
and insurance) in the TAEX budgets. This projected (economic) cost may be more or less than
the estimated cost based on the book values and IRS-approved depreciation schedules of
machinery and equipment (rather than current market value) for established farms or ranches
that have a combination of used and new machinery. This method, however, more closely
reflects the "real" earnings required to cover the "real" cost of recapturing machinery
investment during high rates of inflation. The depreciation method based on book value and
used for income tax purposes underestimates the total amount of capital needed for
replacement of machinery and equipment under inflation. Accelerated depreciation schedules,
combined with short accounting lives, may overestimate the real economic depreciation needed
for long run production. Users of the budgets should review their fixed costs closely and be
conscious of the differences in ownership cost based on current replacement values versus those
developed from historical or accounting costs and used for income tax purposes.
Since detailed information on machinery fuel, lubrication, repair and labor requirements are
7
not generally available, the budget generator uses a series of functional relationships and ^%
parameter settings for each machinery and equipment item to estimate ownership and operating
costs. (See machinery and equipment data and parameters at the end of each budget set and
formula section that follows). The cost calculated for each monthly machinery operation,
including associated labor and materials costs, is printed on the back of each published crop
budget
Other Information Available
Other budget analyses available from the budget generator are monthly summaries of
variable costs and returns, monthly fuel requirements by fuel type, cost break-downs on
individual machines and equipment, and costs of machinery and irrigation use by operation or
application. Also available is a program which will generate whole farm cash flow summaries
on the basis of enterprise budgets and the number of units of each in the farm organization.
Details concerning this information may be obtained from the economist-management serving
the particular geographic region (soil resource area).
Limitations
Careful evaluation of the resource situations must precede the drawing of inferences from
an enterprise budget Farms having resource situations (available land, machinery, capital, and
management, for example) that differ from the situation assumed by the budgets can come to
considerably different conclusions. Differences in assumed annual hours of use of machinery
and equipment because of farm size or other uses, or size of the machinery used, can make
significant differences in per unit costs and net returns. These differences in resources and
organization must be evaluated and accounted for adequately if reliable conclusions are to be
drawn.
The Texas Crop and Livestock Budgets are projected budgets, not historical or actual. It is
difficult to make accurate estimates of future prices, yields, or other production uncertainties.
Most of the budgets are prepared 12 to 18 months in advance of the crop harvest or the end
8
( of the livestock production cycle. Therefore, the user should evaluate current production
outlook information and use his expectations to update the budgets in preparing to use them.
In addition, year-to-year comparisons of the published budgets are not advisable due to
changes in farm size, technology, and farming patterns.
Availability
The Texas Crop and Livestock Budgets are published annually and distributed in loose-leaf
form on a subscription basis. To subscribe send $100 to: Extension Farm Management, Dept
of Agricultural Economics, Texas A&M University, College Station, Texas, 77843.
Individual copies of budgets for major enterprises in a particular region of Texas may be
obtained at no cost through local county Extension offices.
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APPENDIX I. FORMULAE FOR ESTIMATING MACHINERY COST4
Fixed Costs per Hour
Depreciation cost per hour (DEP)
DEP = (Purchase Price - Salvage Value)
HUA*Y
where: HUA = hours used annually
Salvage Value = RFV1 * (Current List Price) * RFV2Y
RFV1 and RFV2 are parameters specific to the machine type.
Y = years of ownership
both purchase price and salvage are current values
Interest cost per hour (INT)
INT = Adj. Avg. Investment * I
where: Adj. Avg. Investment = (Purchase Price + Salvage) + D
I = (1 + nominal rate) - 1 = real interest rate
(1 + inflation rate)
and D = (Purchase Price - Salvage Value)
Y
Insurance cost per hour (INS)
INS = (Adi. Avg. Investment) ♦ (Insur. Rate)
HUA
Tax cost per hour (TAX)
TAX = (Purchase Price) * (Tax Rate)
HUA
Total fixed cost per hour (TFC)
TFC = DEP + INT + TAX
4 An '*' implies the multiplication operator (e.g., "times" or "x")
11
A P P E N D I X I . F O R M U L A E F O R E S T I M AT I N G M A C H I N E R Y C O S T ( C O N T. ) ^
Operating Costs Per Hour
Repair cost per hour (REP)
REP =
TAR2 - TAR,
HUA * Y
where: TAR, = (Current List Price) * RC1 * 100'RC3 * (%Age/life)RC3
TAR2 = (Current List Price) * RC1 * 100"RC3 * (%[Age + HUA*Y]/life)RC3
RC1 and RC3 are parameters specific to the machine type.
HUA = hours used annually.
Age = hours of previous use.
Fuel Cost per hour (FUEL)
FUEL
=
QFC
(load,
fuel
type)
*
fuel
where: QFC is a fuel consumption curve based on varying load and fuel type.
Lubrication cost per hour (LUBE)
LUBE = FUEL * P(22)
where: P(22) is a multiplier (e.g., 0.10)
Total operating cost per hour (OPER)
OPER = REP + FUEL + LUBE
Machinery Capacity Per Hour
Acres per hour = Speed (mph) * width (ft) * field eff. (decimal)
8.25
Labor Costs Per Acre (LABOR)
LABOR = (Tractor multiplier) * (Labor multiplier)
Acres Per Hour
12
cost/gallon
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