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Selection for Lifetime Production. Complexity of Lifetime Production. Process of Genetic Improvement. Detailed and meaningful data capture Accurate prediction of genetic merit Meaningful selection objectives and targets. GN. MULTIPLICATION. COMMERCIAL Breeding stock.
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Process of Genetic Improvement • Detailed and meaningful data capture • Accurate prediction of genetic merit • Meaningful selection objectives and targets
GN MULTIPLICATION COMMERCIAL Breeding stock COMMERCIAL CROSS BRED SLAUGHTER PIGS Commercial Progeny Performance Data Data Sources EBVs CBVs and selection decisions SIRE LINE DAM LINE GN Progeny Performance Data PICTraq Database Commercial Sow Performance Data
Dam Line Programs April 2011
Purebred and Crossbred Sows Contributing to Genetic Evaluation
GNX FIRE TestImplemented in May 2010 Enhanced Differentiation • Pedigreed commmercial pigs • Terminal • Maternal • Heavy slaughter weights • Approximately 290 lbs. • Low energy, pelleted diets
Prediction of Genetic Merit • Basic principle… • Resemblance between relatives • Meaningful data • Accurate pedigree • Historically, we have utilized data flows combined with pedigree and small amounts of genomic information for prediction of genetic merit (i.e. EBV’s, index values, etc.)
Genomic Selection Initial Implementation of New Era of Genetic Technologies Scrotal Hernia Finisher Mortality Total Born
What’s Next?Single Step Genomic Evaluation Information extracted from the DNA can be used mainly in two ways: Genetic markers: estimate the effect of each SNP on each trait. Genomic relationships: estimate the actual fraction of genes identical by descendent
How many identical genes 2 pigs share?Resemblance Between Relatives EBV EBV EBV EBV Based on pedigree, we assume it’s 50% between ALL full-siblings
How many identical genes 2 pigs share?Resemblance Between Relatives Based on pedigree, we assume it’s 50% between ALLfull-siblings Genomic Information shows it is between 40 and 60% EBV EBV EBV EBV
Single Step Genomic EvaluationWhere’s the Benefit? • Instead of assuming relationships based only pedigrees we define relationship on pedigree + DNA, • Therefore for every animal and every trait our genetic evaluation is improved… • Constantly linking newest phenotypic data with • Pedigree information augmented by DNA • Delivering a significant cumulative gain in accuracy of selection.
Single Step Genomic EvaluationIncreasing Rate of Genetic Gain
Genetic Differentiation = Profitability Enhancement • If selection objectives and intensity are aligned and focused, PIC differentiation in the sow farm should be delivered via delivery of high quality weaned pigs at the lowest possible cost… • Maximum efficiency per litter • Maximum efficiency of inventory • Maximum efficiency in utilization of inputs
Lifetime Production and EfficiencyTargeting and Delivering the Key Drivers Data currently captured in PIC genetic improvement program
Sow #4421 Parity 1 114 days gestation P1 18TB 16BA 140 Days to Parity 2 19TB 19BA 143 Days to Parity 3 22TB 20BA 139 Days to Parity 4 18TB 18BA 140 days to Parity 5 17TB 17BA 144 days to Parity 6 26TB 26BA…25 weaned Lifetime Performance (so far) 820 days of herd life 120 pigs Born 116 Pigs Born Alive 0.146 pigs TB per day in farm 0.141 pigs BA per day in farm 53.3 pigs TB/sow/yr 51.1 pigs BA/sow/yr