Markers for complex traits (growth, feed efficiency, resistance to parasites, carcase and meat quality, reproductive performance)
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Beef CRC markers for tenderness have been available now for several years. They are marketed by Pfizer Animal Genetics and have been validated and included in BREEDPLAN EBVs. By June 2012, prediction equations for growth, feed efficiency, carcase and beef quality and female reproduction attributes based on high density SNP panels (>500k SNPs) will be delivered to BREEDPLAN. These panels are expected to explain at least 15% of the genetic variation in each trait.
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Industry Use of the Product :
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Once proven, DNA markers will provide beef producers with a simple and cost-effective method of identifying animals early in life that are best suited for breeding or to meet the exacting specifications of premium markets, thereby improving profitability and productivity of beef enterprises. Beef businesses will collect biological samples (e.g. hair, blood, semen, skin) from their animals and send the samples to companies for DNA extraction and genotyping. Genotypes will be returned to the businesses and/or BREEDPLAN for data analysis and identification of animals that are genetically superior for the trait(s) of interest.
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Industry Impact if Successful :
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CRC economic analyses suggest that DNA markers accounting for either 15% or 50% of genetic variation for traits in a breeding objective will result in an economic benefit to the broader beef industry of $1.108 billion (15%) or $1.930 billion (50%) in net present value over the period 2006-2030. This represents a return of around $10 or $20 respectively for every $1 of investment from all sources. In addition, a range of environmental benefits will accrue, including decreased methane emissions from more feed efficient cattle, reduced use of chemical control for parasites and improved animal welfare.
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More information
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Australian Beef Validation data- Results of all independent testing of commercially-available DNA markers undertaken by Beef CRC
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SmartGene for Beef Project
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Genomics FAQ
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