Cattle management method and system

• US 6,516,746 B2
• Filed: 09/27/2001
• Issued: 02/11/2003
• Est. Priority Date: 10/31/1994
• Status: Expired due to Fees

• Current Assignee: MWI Veterinary Supply Incorporated
• Original Assignee: Micro Beef Technologies Ltd (MWI Veterinary Supply Incorporated)
• Inventors: Pratt, William C.
• Primary Examiner(s): Jordan, Charles T.
• Assistant Examiner(s): SHAW, ELIZABETH ANNE
• Application Number:
  US09/967,151
• Publication Number:
  US 20020050248A1
• Time in Patent Office: 502 Days
• Field of Search: 119/51.02, 119/502, 119/511, 119/840, 119/841, 119/842, 348/89, 452/52, 452/53
• US Class Current: 119/51.02
• CPC Class Codes: A01K 1/0023 Sorting gates
• CPC Class Codes: A01K 1/0209 Feeding pens for pigs or cattle
• CPC Class Codes: A01K 11/006 Automatic identification systems for animals, e.g. electronic devices, transponders for animals identification systems for access to feeding pens A01K1/0209; ear tags with electronic identification means A01K11/004
• CPC Class Codes: A01K 29/00 Other apparatus for animal husbandry
• CPC Class Codes: A01K 29/005 Monitoring or measuring activity, e.g. detecting heat or mating
• CPC Class Codes: A01K 5/02 Automatic devices automatic identification devices for stock A01K11/006
• CPC Class Codes: A61B 8/0858 involving measuring tissue layers, e.g. skin, interfaces
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 40/10 Tax strategies
• CPC Class Codes: G06Q 40/12 Accounting

Abstract

A highly automated method and system for providing individual animal electronic identification, measurement and value based management of cattle in a large cattle feedlot. Through the use of (1) a computer system integrated with (2) automatic individual animal identification (3) multiple measurement and remeasurement systems with automatic data input and (4) a cattle handling and sorting system, animals are individually (a) identified and (b) measured by weight, external dimensions and characteristics of internal body tissue. With this information together with animal physiological characteristics and historical data, the computer system calculates the optimum (c) slaughter weight, (d) economic end point and (e) marketing date for shipment to a packing plant. After measurement, individual animals are (f) sorted by direction of the computer in response to calculations from the measurements. The computer system also calculates from individual animal data and other data (g) each animal'"'"'s pro rata share of total feed intake for the animal'"'"'s feed group. The computer system (h) stores individual animal measurement, performance and location data, which is used by management to (i) select animals for shipment from the feedlot for slaughter at the optimum time. Following an animal'"'"'s shipment to a slaughter facility, its identification in the computer system is used to (j) correlate the live animal physical characteristics and performance data to the measured and evaluated carcass characteristics data obtained during the slaughter process and (k) build a data base to more accurately identify and measure value-based characteristics in subsequent animals produced and fed for more effective value-based selection and management of those animals.

Claims

1. A method for managing cattle for beef production, comprising:

identifying at least one animal, utilizing an identifying device and at least one computer, to distinguish an identified animal from every other animal in a group, and recording the animal'"'"'s identification in the computer;

directing the identified animal to a measurement location remote from a feeding location;

directing the identified animal at the measurement location through a one-way chute;

recording at least two characteristics of the identified animal, including a measured weight, and matching in the computer the recorded characteristics with the animal'"'"'s recorded identification;

feeding the identified animal with a group of other animals;

storing in the computer for the identified animal a limit or target condition;

making a computer projection of an estimated time or date for the identified animal to achieve the projected limit or target condition based at least in part on the characteristics;

selecting the identified animal for further processing based at least in part on the estimated time or date;

directing the identified animal at the measurement location through a chute for separating one animal at a time from the group;

sorting the identified animal into a group of animals based at least in part upon the target condition;

directing the identified animal from the chute and measurement location to one or more feeding locations;

enabling a computer operator to review an up to date cattle inventory by identified individual animal by location;

collecting carcass data characteristics of the identified animal following shipment of the identified animal from a cattle feedlot to a slaughter facility;

storing in the computer data derived from a carcass of the identified animal;

storing the identified animal'"'"'s performance and costs data in the computer; and

correlating in the computer the respective performance and costs data with the carcass derived data for the identified animal.

2. The method according to claim 1 where recording characteristics of the identified animal includes recording at least two characteristics, in addition to a measured weight, selected from the group consisting of external dimension, internal tissue characteristic, measured weight gain, feed intake, health treatment, cost of gain, genetic characteristic, and combinations thereof, and matching the recorded characteristics with the animal'"'"'s recorded identification.

3. The method according to claim 2 and further comprising:

calculating in the computer a ratio of feed to weight gain at least in part from the feed intake determination and gain of the identified animal;

recording the ratio in the computer and matching it to the animal'"'"'s recorded identification; and

enabling the ratio to be used by the cattle producer for making a management decision.

4. The method according to claim 2 and further comprising enabling data and characteristics for the identified animal to be used by a cattle producer for use in improving the genetics of animals for future beef production.

5. The method according to claim 4 and further comprising enabling the data of the identified animal to be used by a cattle producer in making breeding, selection or purchase decisions.

6. The method according to claim 2 and further comprising:

recording sire or dam information for the identified animal as a genetic characteristic; and

matching the recorded characteristic with the animal'"'"'s recorded identification.

7. The method according to claim 6 and further comprising making data available concerning the recorded sire or dam characteristic and performance of the identified animal to be used in making future genetic decisions.

8. The method according to claim 2 and further comprising utilizing the recorded genetic characteristic of the identified animal at least in part for selecting the identified animal for further processing.

9. The method according to claim 8 and further comprising:

providing data concerning the identified animal to be used by a feedlot in making management decisions; and

allocating costs for the identified animal.

10. The method according to claim 2 and further comprising:

calculating in the computer the projected feed intake for the identified animal from at least its measured weight and feed energy value; and

totaling in the computer the calculated feed intake for all animals in the group, calculating a pro rated share for each animal in the group, comparing that total to the actual amount fed to those animals in the group, allocating the actual amount fed to the group based on the pro rated share to each animal in the group and storing that amount in the computer.

11. The method according to claim 10 and further comprising calculating and recording in the computer cost of gain for the identified animal and matching it to the animal'"'"'s recorded identification.

12. The method according to claim 10 and further comprising mixing the identified animal of one original group with a group of animals containing animals from a different original group, feeding the animals for a period of time, recording feed intake for the identified animal in the computer and matching the feed intake with the animal'"'"'s recorded identification.

13. The method according to claim 12 and further comprising:

determining and allocating the costs for the identified animal;

determining a disbursement of funds breakdown from slaughter of the identified animal; and

recording costs and disbursement amounts in the computer and matching them to the identified animal.

14. The method according to claim 12 further comprising plural computers defining a computer network.

15. The method according to claim 12 and further comprising calculating feed intake for the identified animal by calculating an energy requirement for the animal and a feed energy value.

16. The method according to claim 12 and further comprising:

following feeding of the identified animal with a group of other animals, directing the identified animal to the measuring location;

recording in the computer at least a second measuring weight; and

feeding the identified animal with a group of other animals following recording the second measured weight.

17. The method according to claim 12 and further comprising:

determining the number of animals to utilize each of multiple feed pens; and

utilizing the computer for sorting the animals to approximate the correct number of animals in each feed pen.

18. The method according to claim 12 and further comprising utilizing an electronic identification device.

19. The method according to claim 12 and further comprising:

storing in the computer health and treatment data; and

utilizing such data to calculate costs for the identified animal.

20. The method according to claim 12 and further comprising:

storing in the computer feed requirements data and feed delivery data; and

utilizing such data to calculate costs for the identified animal.

21. The method according to claim 12 and further comprising enabling data and characteristics for the identified animal to be used by a cattle producer for use in improving the genetics of animals for future beef production.

22. The method according to claim 12 and further comprising:

recording sire or dam information for the identified animal as a genetic characteristic; and

matching the recorded characteristic with the animal'"'"'s recorded identification.

23. The method according to claim 12 and further comprising:

providing computer control for controlling gate operation for gates in a multiple of stations in a single file chute to provide for sequential movement of the identified animal from one station to another station; and

providing computer control for selectively controlling operation of sorting gates at an entrance of sort pens following exit of the identified animal from a last station in the single file chute.

24. The method according to claim 12 and further comprising:

storing feed additive data in the computer from a feed additive delivery system; and

utilizing such information to calculate costs for the identified animal.

25. The method according to claim 12 and further comprising identifying two or more animals, utilizing an identifying device and at least one computer, to distinguish an identified animal from every other animal in a group, and recording the identified animals'"'"' identifications in the computer.

26. The method according to claim 12 and further comprising identifying all animals in a group, utilizing an identifying device and at least one computer, to distinguish an identified animal from every other animal in the group, and recording the identified animals'"'"' identifications in the computer.

27. The method according to claim 1 and further comprising:

determining the number of animals to utilize each of multiple feed pens; and

utilizing the computer for sorting the animals to approximate the correct number of animals in each feed pen.

28. The method according to claim 1 and further comprising utilizing an electronic identification device.

29. The method according to claim 28 and further comprising:

reading the electronic identification device for the identified animal at a packing plant; and

transferring the identification to match the identification for a carcass resulting from the identified animal and matching that carcass to the identified animal in the computer.

30. The method according to claim 29 and further comprising removing the electronic identification device from the animal at the packing plant and delivering the electronic identification device for reuse on another animal.

31. The method according to claim 1 and further comprising:

storing in the computer health and treatment data; and

utilizing such data to calculate costs for the identified animal.

32. The method according to claim 1 and further comprising:

storing in the computer feed requirements data and feed delivery data; and

utilizing such data to calculate costs for the identified animal.

33. The method according to claim 1 further comprising plural computers defining a computer network.

34. The method according to claim 1 and further comprising:

storing feed additive data in the computer from a feed additive delivery system; and

utilizing such information to calculate costs for the identified animal.

35. The method according to claim 1 and further comprising:

providing computer control for controlling gate operation for gates in a multiple of stations in a single file chute to provide for sequential movement of the identified animal from one station to another station; and

providing computer control for selectively controlling operation of sorting gates at an entrance of sort pens following exit of the identified animal from a last station in the single file chute.

36. The method according to claim 1 and further comprising:

following feeding of the identified animal with a group of other animals, directing the identified animal to the measuring location;

recording in the computer at least a second measuring weight; and

feeding the identified animal with a group of other animals following recording the second measured weight.

37. The method according to claim 1 and further comprising identifying two or more animals, utilizing an identifying device and at least one computer, to distinguish an identified animal from every other animal in a group, and recording the identified animals'"'"' identifications in the computer.

38. The method according to claim 1 and further comprising identifying all animals in a group, utilizing an identifying device and at least one computer, to distinguish an identified animal from every other animal in the group, and recording the identified animals'"'"' identifications in the computer.

39. A method for managing cattle for beef production, comprising:

identifying at least one animal, utilizing identifying means and at least one computer, to distinguish it from every other animal in a group, and recording the animal'"'"'s identification in the computer;

directing the identified animal to a measurement location remote from a feeding location

directing the identified animal at the measurement location through a one-way chute;

recording multiple characteristics of the identified animal, including a measured weight, and matching in the computer the recorded characteristics with the animal'"'"'s recorded identification;

feeding the identified animal with a group of other animals;

determining for the identified animal a limit or target condition;

making a computer projection of an estimated time or date for the identified animal to achieve the projected limit or target condition based at least in part on the characteristics;

selecting the identified animal for further processing based at least in part on the estimated time or date;

enabling a computer operator to review from a remote location an up-to-date cattle inventory by individual animal by location;

collecting carcass data characteristics of the identified animal following shipment of the identified animal from a cattle feedlot to a slaughter facility;

storing in the computer data derived from a carcass of the identified animal;

storing the identified animal'"'"'s performance and costs in the computer;

correlating in the computer the respective performance and costs with data derived from the carcass for the identified animal; and

enabling such data to be used by a cattle producer for use in improving the genetics of animals for future beef production.

40. An electronic cattle management system, comprising:

an identification device for identifying an individual animal from other animals in a group of animals;

a measurement location separate from a feeding location;

at least one computer for storing identification information for the animal and for recording at least two physical characteristics, including weight, and for matching the recorded identification information with the characteristics;

a data entry device for entering into the computer animal identification information and initial characteristics prior to a feeding period and characteristics following a feeding period for the animal with the group of animals; and

a data output device in communication with the computer the computer being operable following entry of the animal'"'"'s identity for projecting for the identified animal a limit or target condition, projecting an estimated time or date for the identified animal to achieve the projected limit or target condition, and selecting the animal for further processing based at least in part on the characteristics.

41. The system according to claim 40 where the characteristics include measured external animal dimensions and measured internal animal tissue dimensions or texture.

42. The system according to claim 40 where the system stores at least two characteristics in addition to a measured weight.

43. The system according to claim 40 where the system records at least three measurements, including weight.

44. The system according to claim 40 where the identifying device is an electronic identification device.

45. The system according to claim 44 where the electronic identification device is attached to an animal.

46. The system according to claim 40 where at least one of the recorded physical characteristics is measured.

47. The system according to claim 40 where the limit target condition or estimated time or date is stored in the computer.

48. The system according to claim 40 further comprising a measuring station for measuring at least one of the characteristics.

49. The system according to claim 48 including a data entry device at the measuring station remote from the computer.

50. The system according to claim 48 where the measuring station includes a chute having at least one measuring substation separated by a gate, with a downstream end of the chute communicating with at least one sorting pen.

51. The system according to claim 48 where the measuring station includes an animal position sensing device.

52. The system according to claim 51 further comprising a gate control device for opening or closing a gate for a sorting pen.

53. The system according to claim 48 including plural measuring stations.

54. The system according to claim 40 comprising plural computers in a computer network.

55. The system according to claim 40 further comprising a viewing station to enable an operator to view data stored in the computer.

56. The system according to claim 55 where the viewing station is remote from the measuring station.

57. The system according to claim 40 where the computer calculates an amount of feed consumption for the identified animal using a feed allocation formula that considers an animal'"'"'s weight measurement, records a calculated consumption, and matches calculated consumption with the recorded identification for the animal.

58. The system according to claim 57 where calculating an amount of feed consumption includes calculating rate of weight gain for the identified animal.

59. The system according to claim 57 where calculating feed consumption includes calculating energy requirements for the identified animal and feed energy value.

60. The system according to claim 40 further comprising an ultrasound tissue measuring device that provides internal tissue data for correlation with the animal identification and storage in the computer.

61. The system according to claim 60 where the ultrasound device is located at the measuring station.

62. The system according to claim 40 further comprising a data input device at a slaughter facility remote from the computer for recording carcass data for an animal identified at the slaughter facility and for comparing identification of an animal at a feedlot to identification made at the slaughter facility.

63. The system according to claim 62 further comprising an ultrasound device at the slaughter facility for providing carcass tissue data for correlation with the animal identification and storage in the computer.

64. The system according to claim 40 where the computer selects a growth promotant for the identified animal based at least in part on the recorded measurements, records the growth promotant, and matches the growth promotant to the identified animal.

65. The system according to claim 64 where the computer calculates carcass rate of gain at least in part using a measured live animal characteristic of the identified animal.

66. The system according to claim 65 where carcass rate of gain is calculated at least in part using a measured live animal characteristic of the identified animal.

67. The system according to claim 40 where the output device is a video monitor.

68. An electronic cattle management system, comprising:

electronic identification means for identifying an individual animal from a group of animals;

a measurement location separate from a feeding location;

at least one computer for storing identification information for the animal and for recording at least two characteristics of the animal, including weight, and for matching the recorded identification information with the animal'"'"'s characteristics.

a data entry device for entering into the computer an animal'"'"'s identity and characteristics; and

a data output device in communication with the computer, the computer being operable in response to entry of the animal'"'"'s identity to project for the identified animal a limit or target condition, and projecting an estimated time or date for the identified animal to achieve the projected limit or target condition based at least in part on the characteristics.

69. The system of claim 68 where the characteristics, in addition to weight, are selected from the group consisting of tenderness, fat, muscling, external dimension, internal tissue characteristic, weight gain, feed intake, health treatment, nutrition history, consumer eating quality, carcass gain, feed efficiency, prior history, a genetic characteristic, and combinations thereof

70. The system according to claim 68 further comprising a data input device at a slaughter facility for collecting carcass data characteristics of the identified animal following its slaughter, and for storing in the computer data derived from the carcass of the animal, the computer being operable to determine, track and project individual animal performance and costs and to correlate the respective performance, costs and carcass-derived data by individual animal.

71. The system according to claim 70 further comprising a remote data output device to enable up-to-date cattle inventory by individual animals within a group by location to be reviewed at a remote location.

72. The system according to claim 68 further comprising plural computers in a network.

73. The system according to claim 68 where the characteristics of the identified animal include at least two characteristics, in addition to a measured weight, selected from the group consisting of external dimension, internal tissue characteristic, measured weight gain, feed intake, health treatment, genetic characteristic, and combinations thereof, and matching the recorded characteristics with the animal'"'"'s recorded identifications.

74. The system according to claim 68 and further comprising a measuring station remote from a feeding location, the station including a chute for separating one animal at a time from the group, whereby the computer projects a target condition for shipment for slaughter for the identified animal, sorts the identified animal into a group of animals based at least in part upon the target condition, and directs the measured animal from the chute and measurement location to one or more feed pens.

75. The system according to claim 74 where the computer calculates projected feed intake for the identified animal from at least its measured weight and ration information, totals the projected feed intake for all animals in the group, calculates the pro rata share for each animal in the group, compares that total to an actual amount fed to those animals in the group, allocates the actual amount fed to the group on the pro rata basis to each animal in the group and stores that amount in the computer.

76. The system according to claim 75 where, following mixing the identified animal of one group with a group of animals containing animals from a different group, and feeding the animals for a period of time, the system records feed intake for the identified animal, matches the feed intake with the animal'"'"'s recorded identification, and provides drug withdrawal information for an identified animal which has been treated with a drug requiring a withdrawal period for viewing by a computer operator prior to shipment of the animal for slaughter.

77. The system according to claim 76 where the computer determines a ratio of feed-to-weight gain at least in part from the feed intake determination and the gain of the identified animal, records the ratio in the computer, matches the recorded ratio to the animals recorded identification, and enables the ratio to be used by a cattle producer for making a management decision concerning genetic change for improving performance of future offspring.

78. The system according to claim 77 where the computer determines and allocates costs for the identified animal, determines a disbursement of funds breakdown from the packing plant for the identified animal when the identified animal is from a group of animals containing individual animals owned by different original owners, records the costs and disbursement amounts and matches the recorded information to the identified animal.

79. The system according to claim 78 and further comprising a computerized feed additive delivery system, whereby the computer records and stores data from the computerized feed additive delivery system, and utilizes such information to calculate cost of production and feed additive costs for the identified animal.

80. The system according to claim 78 where the computer determines cost of gain for the identified animal, stores the cost of gain, and matches it to the animals recorded identification.

81. The system according to claim 80 where the computer determines a number of animals to utilize a feed pen, and sorts the animals for the feed pen to approximate the correct number in the pen.

82. The system according to claim 68 and further comprising a data input device for reading the electronic tag on the identified animal at the packing plant, the system subsequently transferring the identification to match the identification on a carcass produced from the identified animal so that carcass data can be matched to the identified live animal in the computer.

83. The system according to claim 68 where the characteristics of the identified animal recorded, by the computer include a prior history genetic characteristic of the identified animal, and the computer matches the recorded genetic characteristic with the animal'"'"'s recorded identification.

84. The system according to claim 83 where the computer records sire and/or dam information for the identified animal as a prior history genetic characteristic, and matches the recorded characteristic with the animal'"'"'s recorded identification.

85. The system according to claim 84 where the computer utilizes the recorded genetic characteristic of the identified animal at least in part for selecting the identified animal for further processing.

86. The system according to claim 85 whereby the computer is operable to provide data concerning the identified animal to be used by a feedlot in making management decisions and in allocating costs to an animal owner on an individual animal basis.

87. The system according to claim 84 where the computer provides a recorded sire and dam prior history characteristic and feedlot performance of the identified animal to an operator for making future genetic decisions.

88. The system according to claim 87 where the computer is operable to provide data concerning the identified animal to a cattle producer to make breeding, selection or purchase decisions.

89. The system according to claim 68 further comprising a computer which records and stores data from a computerized animal health, treatment and inventory system and the computerized bunkreader system, and utilizes such information to calculate cost of production for the identified animal.

90. An electronic cattle management system, comprising:

electronic identification means for identifying an individual animal from a group of animals;

computer means for storing identification information for the animal and for recording at least two characteristics of the animal, including weight, and for matching the recorded identification information with the animal'"'"'s characteristics;

data entry means for entering into the computer an animal'"'"'s identity and characteristics; and

data output means in communication with the computer means, the computer means being operable following entry of the animal'"'"'s identity to project for the identified animal a limit or target condition, and projecting an estimated time or date for the identified animal to achieve the projected limit or target condition based at least in part on the characteristics.