Abstract
Significant improvements in animal performance, efficiency and carcass and meat quality have been made over the years through the application of standard animal breeding and selection techniques. However, such classical animal breeding techniques require several years of genetic evaluation of performance records on individual animals and their relatives and are therefore very expensive. Other efforts have been made to improve productivity and quality through the application of such management practices as the use of feed additives, animal hormonal implants and chemotherapeutics. However, there is significant political and regulatory resistance to the introduction and use of such methodologies. Such methodologies are also non-inheritable and need to be applied differently in every production system.
The physiological regulation of intake, growth and energy partitioning in animals is under the control of multiple genes, which may be important candidates for unraveling the genetic variation in economically relevant traits in beef production. The present invention relates to the identification of single nucleotide polymorphisms (SNPs) within the bovine genes encoding fatty acid binding proteins and their associations with economically relevant traits in beef production. The invention further encompasses methods and systems, including network-based processes, to manage the SNP data and other data relating to specific animals and herds of animals, veterinarian care, diagnostic and quality control data and management of livestock which, based on genotyping, have predictable meat quality traits, husbandry conditions, animal welfare, food safety information, audit of existing processes and data from field locations.
A method for identifying a bovine animal having a higher ribeye area (REA) per hundred weight hot carcass weight (cwt-HCW) as compared to the general population of bovine animals.
Patent# US7919241 B2