Abstract: A system for generating optimized values for variable inputs to an animal production system. The system includes a simulator engine configured to receive a plurality of animal information inputs and generate a performance projection. At least one of the animal information inputs is designated as a variable input and at least one of the animal information inputs includes animal genotype information. The system further includes an enterprise supervisor engine configured to generate an optimized value for the at least one variable input wherein the optimized value is configured to optimize animal production based on the animal genotype information.

Abstract: A method for allocating dairy end product pricing risk in a dairy production system is described. The method includes providing a fixed price for a future period for a dairy end product to a retailer of the dairy end product, determining a cost of production for the dairy end product, the cost of production including costs associated with each dairy production entity in the dairy production process, and allocating the difference between the fixed price and the cost of production among each dairy production entity based on the sale of the dairy end product at the fixed price.

Abstract: Disclosed are compositions and methods for supplementing ruminant feeds. The compositions include at least one ingredient that has an enhanced histidine content. This ingredient commonly is derived from a non-animal source. The methods include feeding ruminants feed compositions that include the ingredient to improve milk production.

Abstract: A system for generating optimized values for variable inputs to an animal production system. The system includes a simulator engine configured to receive a plurality of animal information inputs and generate a performance projection. At least one of the animal information inputs is designated as a variable input. The system further includes an enterprise supervisor engine configured to generate an optimized value for the at least one variable input based on an optimization criteria for at least one target output characteristic.

Abstract: A system for generating an animal feed formulation based on utilization of nutrients received by an animal. The system includes a simulator engine configured to generate a set of animal requirements based on characteristics of an animal and to generate animal feed formulation input based at least in part on a projected nutrient utilization for the animal and the set of animal requirements. The system further includes a formulator engine configured to receive the animal feed formulation input and generate an optimized animal feed formulation based on the animal feed formulation input.

Abstract: A system for generating optimized values for variable inputs to an animal production system. The system includes a simulator engine configured to receive a plurality of animal information inputs and generate a performance projection. At least one of the animal information inputs is designated as a variable input. The system further includes an enterprise supervisor engine configured to generate first and second optimized values for the at least one variable input. The first optimized value is generated based on an optimization criteria and the second optimized value is generated based on empirical feedback after application of the first variable input.

Abstract: A system for generating an animal feed formulation based on environmental nutrient inputs. The system comprises a simulator engine configured to generate a set of animal requirements in view of environmental nutrients received by an animal based on characteristics of the animal and a formulator engine configured to receive the set of animal requirements and generate an optimized animal feed formulation based on the animal requirements.

Abstract: A system for generating optimized values for variable inputs to an animal production system. The system includes a simulator engine configured to receive a plurality of animal information inputs and generate a performance projection, wherein at least one of the animal information inputs is designated as a variable input and an enterprise supervisor engine configured to generate an optimized value for the at least one variable input based on at least one optimization criteria and an animal feed formulation.

Abstract: Disclosed are compositions and methods for supplementing ruminant feeds. The compositions include at least one ingredient that has an enhanced content of histidine. The ingredient may be derived from a non-animal source. One suitable animal feed composition includes (a) a histidine-enriched fermentation and/or biomass derived from fermentation of a microbe with enhanced histidine biosynthesis; and (b) at least one other nutrient ingredient. The microbe can includes at least one mutation in the hisG gene or the hisJ gene. The methods include feeding ruminants feed compositions that include the ingredient to improve milk production.

Abstract: Disclosed are compositions and methods for supplementing ruminant feeds. The compositions generally have an enhanced histidine content, e.g., compositions which include at least one ingredient that has an enhanced content of histidine. The histidine-enriched ingredient is commonly derived from a non-animal source. The methods can include feeding ruminants feed compositions that include the histidine-enriched ingredient to improve milk production. In some embodiments, the feed composition includes an E. coli. biomass derived from fermentation of E. coli, wherein the biomass includes (a) an inhibitor of at least one of the endotoxic effects of lipopolysaccharides of E. coli; and (b) histidine, at least one histidine-rich protein or a mixture thereof.