Abstract: The present disclosure relates to a process to produce aqueous dispersions of graphene stabilized by cellulose, offering an alternative to the current methods of dispersion of graphene. The present process provides the advantages that it uses biodegradable cellulose compatible with the environment and can be used in industrial processes in alkaline medium or in the absence of alkali; and when graphene is stabilized with cellulose in alkaline medium it becomes unstable when in contact with natural waters, thus precipitating and being easily removed or concentrated. In other embodiments, solids obtained by drying of the dispersions, once dried, can be redispersed in aqueous alkaline solution.

Abstract: The present disclosure relates to a process to produce aqueous dispersions of graphene stabilized by cellulose, offering an alternative to the current methods of dispersion of graphene. The present process provides the advantages that it uses biodegradable cellulose compatible with the environment and can be used in industrial processes in alkaline medium or in the absence of alkali; and when graphene is stabilized with cellulose in alkaline medium it becomes unstable when in contact with natural waters, thus precipitating and being easily removed or concentrated. In other embodiments, solids obtained by drying of the dispersions, once dried, can be redispersed in aqueous alkaline solution.

Abstract: The present patent application relates to a method for producing dispersions and nanodispersions of graphite, graphene and amorphous carbon in aqueous media without using any surfactant and without requiring any chemical modification of the graphene, such as oxidation to produce graphene oxide.

Abstract: 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 gene encoding fibroblast growth factor 8 (“FGF8”) 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.

Abstract: Aspects of the present invention also provide novel compositions and methods based on novel CBFA2T1 and/or DECR1 single nucleotide polymorphisms selected from the group consisting of CBFA2T1 SNP1, CBFA2T1 SNP2, CBFA2T1 SNP3, CBFA2T1 SNP4, DECR1 SNP5, DECR1 SNP6, DECR1 SNP7, DECR1 SNP8, DECR1 SNP9, DECR1 SNP10, DECR1 SNP11, DECR1 SNP12 and DECR1 SNP13, which may provide novel markers for carcass quality, growth and/or feed efficiency. Additional aspects provide for novel methods which may comprise marker-assisted selection or marker-assisted management to improve carcass quality, growth and/or feed efficiency in cattle.

Abstract: 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 gene encoding fibroblast growth factor 8 (“FGF8”) 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.