PIC GENETIC PROGRAM Never Stop Improving

Never Stop Improving Robust Genetic Improvement

Realized Product Differentiation

Price to Value

Predictable Customer Experience

Genetic Improvement of Pure Lines

Number of animals

Variation in performance level

Distribution of animal performance

How good they are

1

Genetic Improvement of Pure Lines Identify the elite animals

Use ELITE animals as breeding stock

Average

Selected

Genetic Improvement of Pure Lines Use “the best” as breeding stock Next generation: Entire population improves!

Superior Avg

Genetic Improvement of Pure Lines Within line selection 4 Terminal Lines

4 Maternal Lines

2

Genetic Improvement of Pure Lines Selection objectives for each line 4 Terminal Lines

4 Maternal Lines

Survival & Robustness

Reproduction

Efficient Growth

Carcass Traits

Genetic Improvement of Pure Lines Key components Performance Data Genetic Relationships

Genetic Improvement of Pure Lines Pure line data collection PIC Genetic Nucleus Farms

Aurora Saskatchewan, Canada Apex South Dakota, USA

3

11/5/13

Genetic Improvement of Pure Lines Global data collection

Live Animals and Genetic Material Sent Around the World!

Genetic Improvement of Pure Lines Global data collection

Global Data Fed Back Into Genetic Evaluation

Genetic Improvement of Pure Lines Why collect commercial data? GN

Performance Level

High

Customer Farm

Lower Commercial

Environment

Genetic Nucleus

4

Genetic Improvement of Pure Lines Commercial data collection

GN

Pure Line Data

Commercial Herd Sow

Selection

Reproduction Data

Slaughter Pigs Grow/Finish Data Plant Data

Genetic Improvement of Pure Lines Extensive program!!!

Genetic Improvement of Pure Lines Commercial data accelerates genetic progress

5

Genetic Improvement of Pure Lines Commercial data accelerates genetic progress

Genetic Improvement of Pure Lines Commercial data accelerates genetic progress

Genetic Improvement of Pure Lines Key components Performance Data Genetic Relationships

6

Genetic Improvement of Pure Lines Relationship based genomic selection

What genetic data do we collect? -DNA information across the animal’s entire genome How is it used? -To see how related animals are genetically What does this mean? -Greater accuracy identifying animals with the highest genetic value!!!

Genetic Improvement of Pure Lines Relationship based genomic selection Without genomic data: the “family tree”

Assume relatedness (r) = 50% for all littermates

Genetic Improvement of Pure Lines Relationship based genomic selection Genotypes determine what proportion the genome animals share

7

Genetic Improvement of Pure Lines Relationship based genomic selection Genotypes determine what proportion the genome animals share Relationship

Littermate 1

Littermate 2

Littermate 3

Littermate 4

Assumed

50%

50%

50%

50%

True

100%

18%

41%

62%

↑↑↑ACCURACY ACCURACY ↑ ↑ ↑ ↑ ↑ ↑ ACCURACY Other extreme

Genetic Index Index ==114 116 110 Genetic 124

Most Likely

Identical twins

Genetic Improvement of Pure Lines Relationship based genomic selection Genotypic relationships determined for entire pedigree Relationship

Littermate

Same Sire

Grand-Sire

Assumed

50%

25%

25%

True

62%

9%

40%

Genetic Improvement of Pure Lines Relationship based genomic selection

8

Genetic Improvement of Pure Lines Relationship based genomic selection

Years of Selection

Real world examples of sow production traits

Total Number Born/Litter

9

Sow’s Impact on Pre-Wean Survival

PIC337 x Camborough

Pigs Sold / Sow / Year

Pounds Weaned / Sow / Year

10

Litter Weaning Weight

Pigs Weaned / Sow / Year

Margin / Pig

11

Delivering the Value Genetic Improvement accumulates! Faster growth = heavier pigs in less time Better feed conversion = lower feed costs Lower mortality rates = more pigs to market Economic Value to Commercial Producers! To a 5,000 sow unit producing 125,000 market pigs annually this means…

Delivering the Value

Delivering the Value

12

Delivering the Value Trend = -0.23 / year 5-Year Improvement = -1.14 0.2

288 pigs / year

Mortality Probability Genetic Potential

0 -0.2

5-year advantage: 1425 pigs

-0.4 -0.6 -0.8 -1 -1.2 2007

2008

2009

2010

Pig Off-Test Year

2011

2012 PIC337 x Camborough

Delivering the Value 5,000 sow farm / 125,000 pigs marketed per year 5-Year Advantage in Margin

$1.29 MILLION

Genetic Improvement Continually increasing the profitability of the swine production chain

QUESTIONS?

13