System and method of customizing an animal feed based on heat increment

• US 20040231605A1
• Filed: 06/10/2004
• Published: 11/25/2004
• Est. Priority Date: 12/23/2002
• Status: Abandoned Application

• Current Assignee: Can Technologies, Inc. (Cargill Incorporated)
• Original Assignee: Can Technologies, Inc. (Cargill Incorporated)
• Inventors: Ligt, Christiaan P. A. van de, Cook, David A., Newcomb, Mark D., Cieslak, David G.
• Application Number:
  US10/865,614
• Publication Number:
  US 20040231605A1
• Time in Patent Office: Days
• US Class Current: 119/51.02
• CPC Class Codes: A23K 40/00 Shaping or working-up of animal feeding-stuffs
• CPC Class Codes: A23K 50/30 for swines
• CPC Class Codes: Y02P 60/87 Re-use of by-products of food processing for fodder production
• CPC Class Codes: Y10S 426/807 Poultry or ruminant feed

Abstract

A system for and method of determining a formulation for an animal feed having a customized heat increment value. The system can include an animal profile, an animal nutrient requirement profile, an evaluation criteria, and/or ingredient nutrient content profiles. The information contained in the profiles and criteria can be used to calculate a formulation having a desirable heat increment value. The heat increment value can be used to maximize satisfaction of an evaluation criteria.

Claims

1. A method for determining customized feed for at least one animal, the method comprising:

receiving animal data representative of the characteristics of the animal;

receiving feed data representative of feed ingredients;

generating nutritional profile data representative of a desirable heat increment value for the animal based upon the animal data; and

generating formulation including data representative of a combination of feed ingredients, formulation data being generated based upon the nutritional profile data and the feed data.

2. The method of claim 1, wherein the nutritional profile includes a heat increment value determined to optimize a criteria based upon the animal data.

3. The method of claim 1, wherein the animal data is representative of a body heat state of the animal.

4. The method of claim 3, wherein the body heat state of the animal is described with reference to increments of variance from a thermal neutral animal.

5. The method of claim 1, wherein the feed data includes heat increment values for the feed ingredients.

6. The method of claim 1, wherein the feed ingredients include at least one of a carbohydrate source, a protein source, a fat source, a vitamin source, and a mineral source.

7. The method of claim 1, further including receiving evaluation data representative of at least two evaluation criteria wherein the evaluation criteria includes at least one of an animal production rate, an animal work rate, an animal appearance measurement, a cost of feed per unit animal production rate, and a feed weight per unit animal production rate.

8. The method of claim 7, further including receiving optimization weighting data representative of the effect a respective evaluation data has on the generation of the formulation data and generating the formulation data based upon the optimization weighting data.

9. A method for determining customized feed for at least one animal, the method comprising:

receiving animal data representative of the characteristics of the animal;

receiving feed data representative of feed ingredients;

receiving evaluation data representative of at least one evaluation criteria;

generating nutritional profile data representative of a desirable heat increment value for the animal based upon the animal data; and

generating formulation including data representative of a combination of feed ingredients, formulation data being generated based upon the nutritional profile data, the feed data and the evaluation data.

10. The method of claim 9, wherein the nutritional profile includes a heat increment value determined to optimize a criteria based upon the animal data.

11. The method of claim 9, wherein the feed data includes heat increment values for the feed ingredients.

12. The method of claim 9, wherein the animal data is representative of at least one of a beginning weight of the animal, a desired weight of the animal, an environment of the animal, a production state of the animal, a body heat state of the animal, a feed form, and an actual or desired production level of the animal.

13. The method of claim 9, wherein the body heat state of the animal is described with reference to increments of variance from a thermal neutral animal.

14. A method for optimizing the growth rate of an animal, the method comprising:

receiving animal data representative of the characteristics of the animal;

receiving feed data representative of feed ingredients;

receiving evaluation data representative of at least two evaluation criteria;

generating nutritional profile data including a data representative of a desirable heat increment value for the animal based upon the animal data; and

generating formulation data representative of a combination of feed ingredients, formulation data being generated based upon the nutritional profile data, the feed data and the evaluation data.

15. The method of claim 14, wherein the nutritional profile includes a heat increment value determined to optimize a criteria based upon the animal data.

16. The method of claim 14, wherein the formulation data is used to create an animal feed having a customized heat increment value.

17. The method of claim 14, wherein the method is utilized in production of a food product from an animal fed the animal feed.

18. The method of claim 14, wherein the feed data includes heat increment values for the feed ingredients.

19. The method of claim 14, wherein the body heat state of the animal is described with reference to increments of variance from a thermal neutral animal.

20. The method of claim 14, further including receiving optimization weighting data representative of the effect a respective evaluation data has on the generation of the formulation data and generating the formulation data based upon the optimization weighting data.

21. The method of claim 20, wherein the optimization weighting data may be selected to cause one of the evaluation criteria to have no effect on the generation of the formulation data.