Developing a Modeling Framework to Characterize Manure Flows in Texas

42
ENVIRONMEN T AND NATURAL RESOURCES SOCIAL SYSTEMS ECONOMIES LPOs

description

Proceedings available at: www.extension.org/67646 In recent years, sharply rising costs of inorganic fertilizers have contributed to an increased demand for manure and compost in crop production acreage, transforming cattle manure from a valueless waste to a viable alternative to commercial fertilizer. If additional demand for manure as a bio-fuel were to arise manure could take on two distinct values, a fertilizer value and a fuel value. This potential “dual” value of manure begs several questions. What would the fertilizer and fuel markets of manure look like? Is there enough manure supply for the markets to operate independently? If not, which market would prevail? In essence, how, if at all, would manure’s potential value as a bio-fuel distort the traditional Panhandle manure market? A modeling framework was developed to assess the potential impacts of a manure-fired ethanol plant on the existing Texas Panhandle manure fertilizer market. Two manure-allocation runs were performed using a spreadsheet model. Run #1 allocated all available manure from dairies and feedlots to cropland as manure fertilizer; run #2 first allocated fuel manure to the ethanol plant and then allocated the remaining manure to cropland. Both model runs assumed a time horizon of one year and no antecedent nutrients in cropland soils. Other constraints included only irrigated acreages received manure and no supplemental fertilizer was used. The model revealed a 6.4% increase in cost per acre of fertilizing with manure for fields whose nutrient requirements were fully satisfied in both runs. The increase in cost per acre was likely due to an increase in hauling distances attributed to fewer CAFOs available for fertilizer manure. The model is not presented as a dynamic, systems model, but rather a static model with the potential to be incorporated into a more dynamic systems-based modeling environment. Suggestions for further model development and expansion including GAMS integration are presented.

Transcript of Developing a Modeling Framework to Characterize Manure Flows in Texas

Page 1: Developing a Modeling Framework to Characterize Manure Flows in Texas

ENVIRONMENT AND NATURAL

RESOURCESSOCIAL

SYSTEMS

ECONOMIES

LPOs

Page 2: Developing a Modeling Framework to Characterize Manure Flows in Texas
Page 3: Developing a Modeling Framework to Characterize Manure Flows in Texas

MODELING MANURE FLOWS IN THE TEXAS PANHANDLE IN RESPONSE TO FERTILIZER PRICES, BIOFUEL DEMAND, AND OTHER

EXTERNALITIES

Gary Marek, Ph. D.Research EngineerUSDA-ARS, Bushland, TX

Photo courtesy of Emalee Buttrey

Page 4: Developing a Modeling Framework to Characterize Manure Flows in Texas

Project Background

WTAMU Systems I class project:

Initial Q: Evaluate the economic feasibility of a manure-fueled corn ethanol plant in the Texas Panhandle

Revised Q: Under what conditions is it economically feasible to fuel an EtOH plant with manure in the Panhandle?

Page 5: Developing a Modeling Framework to Characterize Manure Flows in Texas

Integrated System Layers ofDynamic Modeling

MassEnergyEnvironmentMarketsPolicy

Page 6: Developing a Modeling Framework to Characterize Manure Flows in Texas

Mass & Energy Layers

• Manure• Distillers Grains• Water• Natural Gas• Corn• Ash

Page 7: Developing a Modeling Framework to Characterize Manure Flows in Texas

Conceptual Model SchematicMass & Energy Flows

FEEDYARD

LANDMANAGEMENT

UNIT

PANDAETHANOL

PLANT

manure

ash

naturalgaswater

CORN

DISTILLERS GRAINS

SEED

Adapted from image by Sharon Preece

Page 8: Developing a Modeling Framework to Characterize Manure Flows in Texas

System Manure Flow

• Time of Year • Storage capacity• Collection radius• Price of fossil fuel• Manure production rate• Price of chemical fertilizer• Fertilizer Value• Fuel Value• Agronomic Rate• HHV Demand• NPK Demand

Page 9: Developing a Modeling Framework to Characterize Manure Flows in Texas

Distillers Grains Effects on Manure

• Increases concentration of phosphorous May increase land requirements, travel

distances, and management practices• Decreases Higher Heating Value (HHV) (Buttrey et al.,2012)

Page 10: Developing a Modeling Framework to Characterize Manure Flows in Texas

Environment Layer

• Regulatory Nutrient Limits• Soil• Water• Air Quality

• Nitrogen Thresholds (Rocky Mtn. Natl. Park)

• Permit Storage Limits (CAFOs & Panda)

• Declining Aquifer Capacity - Droughts• Effects on crop composition & yield• Jevons Paradox

Page 11: Developing a Modeling Framework to Characterize Manure Flows in Texas

Markets Layer

•Valuing Manure• Fertilizer Value• Fuel Value

•Transaction modeling• Buyer vs. Seller

• Market Structures•Market Simulator

Page 12: Developing a Modeling Framework to Characterize Manure Flows in Texas

Valuing Manure as Fertilizer(Massey 2006)

Commercial Fertilizer• Guaranteed Analysis• Concentrated• Selectable nutrient ratios• Accurate Application

Systems• Relatively Low

Hauling/Application Costs• Expensive

Manure & Compost• Inconsistent Nutrient Conc.• Highly Variable Application

Methods• Expensive Hauling Costs• Weed Seed• Foreign Debris• Salts• Organic Matter

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Average U.S. Farm Pricesof Selected Fertilizers

1975 1980 1985 1990 1995 2000 2005 20100

100

200

300

400

500

600

700

800

900 Nitrogen

phosphate

potassium

Year

Dolla

rs/t

on o

f nut

rient

Source: Agricultural Prices, National Agricultural Statistics Service, USDA.

Page 14: Developing a Modeling Framework to Characterize Manure Flows in Texas

Marginal Nutrient Value

MV max

APPLICATION RATE (tons as-is / acre)

MA

RGIN

AL

NU

TRIE

NT

VALU

E ($

/ton

as-

is)

I

II

III

Page 15: Developing a Modeling Framework to Characterize Manure Flows in Texas

Valuing Manure as Fuel Source

• HHV of manure determined by…• Ash Content

•Moisture•DDGS inclusion (Buttrey et al., 2012)

•Manure Handling Practices•Affect on ash content•Weather

• Point-of-Use Comparison• Natural Gas Price Trends

Page 16: Developing a Modeling Framework to Characterize Manure Flows in Texas

Heating Value of Manure

0%

20%

40%

60%

80%

0% 20% 40% 60% 80%

Max

imum

Moi

stur

e C

onte

nt (

wb)

Ash Fraction (db)

Minimum Acceptable HV = 2,758 BTU/lb

Arbitrary Target HHV = 3,500 BTU/lb

Arbitrary Target HHV = 4,500 BTU/lb

Page 17: Developing a Modeling Framework to Characterize Manure Flows in Texas

Natural Gas vs. Ammonia(1985-2006)

Page 18: Developing a Modeling Framework to Characterize Manure Flows in Texas

Manure Value Calculator

INPUTS:N & P conc. of manure N & P crop requirementsPrice of inorganic N & P Hauling distanceHauling costs Price of natural gasLandfill disposal costs

OUTPUTS:Manure value as N & P fertilizerManure value as an energy sourceNet values after transportation

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Transaction Probability Model

PAPBPWA

(PB, P(PB)) (PA, P(PA))

PWP

Xaction Price

Xacti

on P

roba

bilit

y at

Pri

ce

BUYERSELLER

Page 20: Developing a Modeling Framework to Characterize Manure Flows in Texas

Market Structures• Prior to markets operating, a hypothesis can be used

to simulate potential markets• Local market conditions determine the type of

market (Zering 2010)

A. Sufficient # of buyers & sellers, prices adjust frequently to clear the market

B. Single seller, multiple buyers (monopoly), seller sets price

C. Single buyer, multiple sellers (monopsony), buyer sets price

D. Few buyers & sellers, potential for “hold up”, whoever can survive the longest without the other sets price

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Market SimulatorMarket

TypeNeed to Reduce

Volume?Storage

Remaining?Manure

Value Calculator

Transaction Model

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Market SimulatorProgramming Flowchart

Page 23: Developing a Modeling Framework to Characterize Manure Flows in Texas

Explicit Model

• Database information• Manure fertilizer value modules• Manure fuel value modules• Transaction Models• Dynamically linked system layers

How do we synthesize all of this information?

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System Boundary

Panda

• Feedlots• Dairies

• Manure collection radius of 30 miles from proposed Panda plant

41 feedlots3,000 – 100,000 head

21 dairies250 - 5,000 head

• CAFO capacities estimated by industry and extension personnel

• System Boundary - Manure dispersion radius of 20 miles from each CAFO

• Boundary encompasses 4,172,815 acres

Deaf Smith

Oldham

Parmer Castro

Potter

Randall

Swisher

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Satellite Imagery

Panda

• Feedlots• Dairies

• DOQ’s from Texas Natural Resources Information System (TNRIS) added to the project

• Used to estimate irrigated, dryland, rangeland, and municipal acreages

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Irrigated Land• DOQ’s from Texas Natural

Resources Information System (TNRIS) added to the project

• Irrigated land calculated by digitizing center pivot circles

4,935 circles 740,765 acres

• Dryland acreage was calculated by subtracting irrigated acreage from total arable land

3,226,894 acres• Rangeland/Municipal Acreage

205,156 acres

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Grid Overlay• Grid constructed to address

spatial aspects of project 1,023 cells 3 mi x 3 mi

• Cells assigned crop composition and yield values based on county NASS data

• Road distance from centroid of every cell to each CAFO was calculated using ArcGIS Network Analyst algorithm

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Simple Optimization Model(MS Excel)

A B C D E G

1

2

3

4

5

7

8

8

9

10

CAFOS (feedlots & dairies)

LMU

Cel

ls

… n=62

n=1,

023…

Page 29: Developing a Modeling Framework to Characterize Manure Flows in Texas

Solution-Based Model(MS Excel)

Information relating each CAFOto each LMU cell

Page 30: Developing a Modeling Framework to Characterize Manure Flows in Texas

CAFO Attributes

• Feedlot or Dairy• Annual manure production capacity• As-collected manure production• Nutrient concentrations of CAFO manure

Page 31: Developing a Modeling Framework to Characterize Manure Flows in Texas

LMU Cell Attributes

• Acreage characterization and allocation (irrigated,dryland, rangeland/municipal)

• Nitrogen and phosphorus requirements (based on county NASS crop composition and average yield values)

• Road distance to CAFO

Page 32: Developing a Modeling Framework to Characterize Manure Flows in Texas

Array Calculations/Switches

• Tons of manure required to fulfill nitrogen and phosphorus requirements

• Fulfill nitrogen or phosphorus demand• Net price per acre to fulfill nutrient

requirements

Page 33: Developing a Modeling Framework to Characterize Manure Flows in Texas

Model Assumptions & Constraints

• One year time horizon• Manure to satisfy nitrogen requirements• No antecedent nutrients• Only irrigated acreage would receive manure• CAFOs and Panda operate at 100% capacity• All manure allocated to LMU (no storage)• No supplemental commercial fertilizer• Zero value for organic matter• Price of manure held constant ($2.50 per ton)

• Hauling & spreading costs held constant ($0.24 per ton mile)

Page 34: Developing a Modeling Framework to Characterize Manure Flows in Texas

Model Runs

• Model run #1 – Manure from all 62 CAFOs allocated to LMU

• Model run #2 – Manure from closest feedlots allocated to Panda. Manure from the remaining 55 CAFOs allocated to LMU

Page 35: Developing a Modeling Framework to Characterize Manure Flows in Texas

Subscription Ratio

A B C D E G

1

2

3

4

5

7

8

8

9

10

CAFOS (feedlots & dairies)LM

U C

ells

… n=62n=

431…

RATIO 3.2 0.9 10.5 6.5 1.5 0.25 RANK 3 5 1 2 4 6

Page 36: Developing a Modeling Framework to Characterize Manure Flows in Texas

Subscription Ratio (i=1)

A B C D E G1

2

3

4

5

7

8

9

10

11

CAFOS (feedlots & dairies)LM

U C

ells

… n=62n=

431…

RATIO 3.2 0.9 10.5 6.5 1.5 0.25 RANK 3 5 1 2 4 6

Page 37: Developing a Modeling Framework to Characterize Manure Flows in Texas

Subscription Ratio (i=2)

A B C D E G1

2

3

4

5

7

8

9

10

11

CAFOS (feedlots & dairies)LM

U C

ells

… n=62n=

431…

RATIO 3.2 0.9 1.0 6.5 1.5 0.25 RANK 2 4 N/A 1 3 5

Page 38: Developing a Modeling Framework to Characterize Manure Flows in Texas

Subscription Ratio (i=2)

A B C D E G1

2

3

4

5

7

8

9

10

11

CAFOS (feedlots & dairies)LM

U C

ells

… n=62n=

431…

RATIO 3.2 0.9 1.0 6.5 1.5 0.25 RANK 2 4 N/A 1 3 5

Page 39: Developing a Modeling Framework to Characterize Manure Flows in Texas

Ranking LMU Cells within a CAFO

• NPA for manure to NPA for commercial fertilizer ratio Assumed Co-Op at a distance of 10 miles from every cell

• Fields allocated until CAFO manure is depleted• Partially fulfilled fields returned to array with

updated nutrient and acreage requirements

Page 40: Developing a Modeling Framework to Characterize Manure Flows in Texas

CAFOs with Unallocated Manure

• Model forced CAFOs to allocate all manure produced

• Taking off point for transaction modeling• To move manure, would likely have to

discount price

Page 41: Developing a Modeling Framework to Characterize Manure Flows in Texas

ResultsRun #1232 total cells

Avg. price per acre(197 common cells)

$52.86

Avg. hauling distance8.38 miles

33 66 99 132 165 198 231 264 297 330 363 396 429 462 495 528 561 594 627 660 693 726 759 792 825 858 891 924 957 990 1023

32 65 98 131 164 197 230 263 296 329 362 395 428 461 494 527 560 593 626 659 692 725 758 791 824 857 890 923 956 989 1022

31 64 97 130 163 196 229 262 295 328 361 394 427 460 493 526 559 592 625 658 691 724 757 790 823 856 889 922 955 988 1021

30 63 96 129 162 195 228 261 294 327 360 393 426 459 492 525 558 591 624 657 690 723 756 789 822 855 888 921 954 987 1020

29 62 95 128 161 194 227 260 293 326 359 392 425 458 491 524 557 590 623 656 689 722 755 788 821 854 887 920 953 986 1019

28 61 94 127 160 193 226 259 292 325 358 391 424 457 490 523 556 589 622 655 688 721 754 787 820 853 886 919 952 985 1018

27 60 93 126 159 192 225 258 291 324 357 390 423 456 489 522 555 588 621 654 687 720 753 786 819 852 885 918 951 984 1017

26 59 92 125 158 191 224 257 290 323 356 389 422 455 488 521 554 587 620 653 686 719 752 785 818 851 884 917 950 983 1016

25 58 91 124 157 190 223 256 289 322 355 388 421 454 487 520 553 586 619 652 685 718 751 784 817 850 883 916 949 982 1015

24 57 90 123 156 189 222 255 288 321 354 387 420 453 486 519 552 585 618 651 684 717 750 783816

849 882 915 948 981 1014

23 56 89 122 155 188 221 254 287 320 353386 419 452

485 518551

584 617 650 683 716 749 782 815 848 881 914 947 980 1013

22 55 88 121 154 187 220 253 286 319 352 385418 451

484 517 550 583 616 649 682 715 748 781 814 847 880 913 946 979 1012

21 54 87 120 153 186 219 252 285 318 351 384 417 450 483 516 549 582 615 648 681 714 747 780 813 846 879 912 945 978 1011

20 53 86 119 152 185 218 251 284 317 350 383416

449 482515

548 581 614 647 680 713 746 779 812 845 878 911 944 977 1010

19 52 85 118 151 184 217250

283 316 349 382 415 448 481 514 547 580 613 646 679 712 745 778 811 844 877 910 943 976 1009

18 51 84 117 150 183 216 249 282 315 348381 414

447 480 513 546 579 612 645 678 711 744 777 810 843 876 909 942 975 1008

17 50 83 116 149 182 215 248 281 314 347 380 413 446 479 512 545 578 611 644 677 710 743 776 809 842 875 908 941 974 1007

16 49 82 115 148 181 214 247 280 313 346 379 412 445 478 511 544 577 610 643 676 709 742 775 808 841 874 907 940 973 1006

15 48 81 114 147 180 213 246 279 312 345 378 411 444 477 510 543 576 609 642 675 708 741 774 807 840 873 906 939 972 1005

14 47 80 113 146 179 212245

278 311 344 377 410443 476

509 542 575 608 641 674 707 740 773 806 839 872 905 938 971 1004

13 46 79 112 145 178 211244

277 310 343 376 409 442475

508541 574 607 640 673 706 739 772 805 838 871 904 937 970 1003

12 45 78 111 144 177 210 243 276 309 342 375408 441

474 507 540 573 606 639 672 705 738 771 804 837 870 903 936 969 1002

11 44 77 110 143176

209242

275 308 341 374 407 440 473 506 539 572 605 638 671 704 737 770 803 836 869 902 935 968 1001

10 43 76 109 142 175 208241

274 307 340 373 406 439 472 505538 571

604 637 670 703 736 769 802 835 868 901 934 967 1000

9 42 75 108 141 174 207 240273

306 339372 405 438

471 504537

570 603636

669702 735 768 801

834867

900 933 966 999

8 41 74 107 140 173 206 239 272 305 338371

404 437 470 503 536 569 602 635 668 701 734 767800

833 866 899 932 965 998

7 40 73 106 139 172 205 238 271 304 337 370 403 436 469 502 535 568 601 634 667 700 733 766 799 832 865 898 931 964 997

6 39 72 105 138 171 204 237 270 303 336 369 402 435 468 501 534 567 600 633 666 699 732 765 798 831 864 897 930 963 996

5 38 71 104 137 170 203 236 269 302 335 368 401 434 467 500 533 566 599 632 665 698 731 764 797 830 863 896 929 962 995

4 37 70 103 136 169 202 235 268 301 334 367 400 433 466 499 532 565 598 631 664 697 730 763 796 829 862 895 928 961 994

3 36 69 102 135 168 201 234 267 300 333 366 399 432 465 498 531 564 597 630 663 696 729 762 795 828 861 894 927 960 993

2 35 68 101 134 167 200 233 266 299 332 365 398 431 464 497 530 563 596 629 662 695 728 761 794 827 860 893 926 959 992

1 34 67 100 133 166 199 232 265 298 331 364 397 430 463 496 529 562 595 628 661 694 727 760 793 826 859 892 925 958 991

dairies386 386 416 416 416 415 381 537 348 537 371 470 569 637 669 176 273 273 176 800 800

387 669

353

feedlots cont

618 479 444 512 508 478 454 586 384 483 517 682 547 715 413 411 714 777 548 469 438 437

651 447 443 446 507 476 421 585 417 450 516 649 849 748 414 209 636 669 581 471 436

617 480 477 513 541 509 453 552 385 484 518 616 514 716 177 515 405

684 481 476 546 540 475 487 584 418 482 550 615 882 683 241 372

650 414 538 506 388 553 449 485 648 605 749

816 571 504 539 420 551 451 515 583 604 781

419 537 505 486 519 549 613 636 717

418 572 452 582 551 580 571 782

386 538 452 848 603 814

451 579 635 815

419 816

feedlots cont

404 276 344 377 376 440 439 379 412 378 511 445 410 443 867 313 247 345 771 707 774

405 277 343 408 409 441 472 380 245 245 510 475 441 800 314 248 312 770 735 872

309 341 374 375 406 346 212 508 279 246 311 772 835 675

310 244 407 442 373 347 241 250 215 242 804 869 905

275 340 441 408 372 381 338 245 282 737 639 904

308 307 475 213 705 703 903

243 210 474 250 803 673 640

342 242 372 837 801 834

278 339 704 871 868

244 473 736 767 833

242 836 670 867

274 802 702

306 672 638

371 768 734

671 834

Page 42: Developing a Modeling Framework to Characterize Manure Flows in Texas

ResultsRun #2221 total cells11 fewer cells

Avg. price per acre(197 common cells)

$56.38

Avg. hauling distance9.3 miles

33 66 99 132 165 198 231 264 297 330 363 396 429 462 495 528 561 594 627 660 693 726 759 792 825 858 891 924 957 990 1023

32 65 98 131 164 197 230 263 296 329 362 395 428 461 494 527 560 593 626 659 692 725 758 791 824 857 890 923 956 989 1022

31 64 97 130 163 196 229 262 295 328 361 394 427 460 493 526 559 592 625 658 691 724 757 790 823 856 889 922 955 988 1021

30 63 96 129 162 195 228 261 294 327 360 393 426 459 492 525 558 591 624 657 690 723 756 789 822 855 888 921 954 987 1020

29 62 95 128 161 194 227 260 293 326 359 392 425 458 491 524 557 590 623 656 689 722 755 788 821 854 887 920 953 986 1019

28 61 94 127 160 193 226 259 292 325 358 391 424 457 490 523 556 589 622 655 688 721 754 787 820 853 886 919 952 985 1018

27 60 93 126 159 192 225 258 291 324 357 390 423 456 489 522 555 588 621 654 687 720 753 786 819 852 885 918 951 984 1017

26 59 92 125 158 191 224 257 290 323 356 389 422 455 488 521 554 587 620 653 686 719 752 785 818 851 884 917 950 983 1016

25 58 91 124 157 190 223 256 289 322 355 388 421 454 487 520 553 586 619 652 685 718 751 784 817 850 883 916 949 982 1015

24 57 90 123 156 189 222 255 288 321 354 387 420 453 486 519 552 585 618 651 684 717 750 783816

849 882 915 948 981 1014

23 56 89 122 155 188 221 254 287 320 353386 419 452

485 518551

584 617 650 683 716 749 782 815 848 881 914 947 980 1013

22 55 88 121 154 187 220 253 286 319 352 385418 451

484 517 550 583 616 649 682 715 748 781 814 847 880 913 946 979 1012

21 54 87 120 153 186 219 252 285 318 351 384 417 450 483 516 549 582 615 648 681 714 747 780 813 846 879 912 945 978 1011

20 53 86 119 152 185 218 251 284 317 350 383416

449 482515

548 581 614 647 680 713 746 779 812 845 878 911 944 977 1010

19 52 85 118 151 184 217 250 283 316 349 382 415 448 481 514 547 580 613 646 679 712 745 778 811 844 877 910 943 976 1009

18 51 84 117 150 183 216 249 282 315 348 381414

447 480 513 546 579 612 645 678 711 744 777 810 843 876 909 942 975 1008

17 50 83 116 149 182 215 248 281 314 347 380 413 446 479 512 545 578 611 644 677 710 743 776 809 842 875 908 941 974 1007

16 49 82 115 148 181 214 247 280 313 346 379 412 445 478 511 544 577 610 643 676 709 742 775 808 841 874 907 940 973 1006

15 48 81 114 147 180 213 246 279 312 345 378 411 444 477 510 543 576 609 642 675 708 741 774 807 840 873 906 939 972 1005

14 47 80 113 146 179 212245

278 311 344 377 410443

476509 542 575 608 641 674 707 740 773 806 839 872 905 938 971 1004

13 46 79 112 145 178 211244

277 310 343 376 409 442 475 508 541 574 607 640 673 706 739 772 805 838 871 904 937 970 1003

12 45 78 111 144 177 210 243 276 309 342 375408

441474 507 540 573 606 639 672 705 738 771 804 837 870 903 936 969 1002

11 44 77 110 143 176 209242

275 308 341 374 407 440 473 506 539 572 605 638 671 704 737 770 803 836 869 902 935 968 1001

10 43 76 109 142 175 208 241274

307 340 373 406 439 472505 538

571 604 637 670 703 736 769 802 835 868 901 934 967 1000

9 42 75 108 141 174 207 240 273306

339372 405 438

471 504 537 570 603636

669702 735 768 801

834867

900 933 966 999

8 41 74 107 140 173 206 239 272 305 338 371 404 437 470 503 536 569 602 635 668 701 734 767800

833 866 899 932 965 998

7 40 73 106 139 172 205 238 271 304 337 370 403 436 469 502 535 568 601 634 667 700 733 766 799 832 865 898 931 964 997

6 39 72 105 138 171 204 237 270 303 336 369 402 435 468 501 534 567 600 633 666 699 732 765 798 831 864 897 930 963 996

5 38 71 104 137 170 203 236 269 302 335 368 401 434 467 500 533 566 599 632 665 698 731 764 797 830 863 896 929 962 995

4 37 70 103 136 169 202 235 268 301 334 367 400 433 466 499 532 565 598 631 664 697 730 763 796 829 862 895 928 961 994

3 36 69 102 135 168 201 234 267 300 333 366 399 432 465 498 531 564 597 630 663 696 729 762 795 828 861 894 927 960 993

2 35 68 101 134 167 200 233 266 299 332 365 398 431 464 497 530 563 596 629 662 695 728 761 794 827 860 893 926 959 992

1 34 67 100 133 166 199 232 265 298 331 364 397 430 463 496 529 562 595 628 661 694 727 760 793 826 859 892 925 958 991

dairies386 386 416 416 416 415 447 538 316 538 306 470 569 637 669 245 306 306 245 605 800

387 636

353

feedlots cont

618 444 512 454 586 384 483 517 682 547 715 413 411 714 777 548 469 438 437

651 443 446 421 585 417 450 516 649 849 748 414 476 636 669 581 471 436

617 477 513 453 552 385 484 518 616 514 716 510 515 405

684 476 546 487 584 418 482 550 615 882 683 509 372

650 538 388 553 449 485 648 513 749 540

816 504 420 551 451 515 583 481 781 506

419 537 486 519 549 613 512 717 539

418 452 582 551 580 479 782 505

386 452 848 480 814

451 579 446 815

419 546 816

feedlots cont

404 276 344 377 376 440 439 379 412 378 410 443 867 313 247 345 771 707 774

405 277 343 408 409 441 472 380 445 274 476 800 314 248 312 770 735 872

309 341 374 375 406 346 478 306 279 246 311 772 835 675

310 244 407 442 373 347 511 348 215 242 804 869 905

275 340 441 408 372 381 505 241 282 737 639 904

308 307 475 572 213 705 703 903

243 210 508 538 250 803 673 640

342 242 474 837 801 834

278 372 704 871 868

244 507 736 767 833

339 836 670 867

473 802 702

541 672 638

242 768 734

274 671 834