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Harry Wu and Milos Ivkovich

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Breeding For Wood Quality And End-Products in Radiata Pine: Adverse Genetic Correlation and Economic Weights. Harry Wu and Milos Ivkovich. IUFRO All Division 5 Conference, Taipei, 2007. Content. The issues arising from previous breeding in radiata pine - PowerPoint PPT Presentation
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A JOINT VENTURE OF CSIRO & FOREST RESEARCH Ensis-Genetics THE JOINT FORCES OF CSIRO & SCION Harry Wu and Milos Ivkovich Breeding For Wood Quality And End-Products in Radiata Pine: Adverse Genetic Correlation and Economic Weights IUFRO All Division 5 Conference, Taipei, 2007
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Page 1: Harry Wu and Milos Ivkovich

A JOINT VENTURE OF CSIRO & FOREST RESEARCH

Ensis-Genetics

THE JOINT FORCES OF CSIRO & SCION

Harry Wu and Milos Ivkovich

Breeding For Wood Quality And End-Products in Radiata Pine:

Adverse Genetic Correlation and Economic Weights

IUFRO All Division 5 Conference, Taipei, 2007

Page 2: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

The issues arising from previous breeding in radiata pine

Adverse genetic correlation between wood quantity and quality traits in radiata pine

Strategies of breeding to address adverse genetic correlation

Content

Page 3: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

Trees from native standsTrees from 1st gen. progeny

Genetic gain from breeding for growth and

form in radiata pineG1. 30% realized genetic gain ($1,395m NPV rotation)

G2. 11% predicted genetic gain ($511m NPV rotation)

Trees from 2st gen. progeny

Page 4: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

-0.6, 0.27, -0.59 between growth and density, MfA, and MoE

y = -0.98x + 82.451

R2 = 0.0956

60

65

70

75

80

85

90

4 5 6 7 8 9 10 11

Predicted Breeding Value for MOE (GPa)

Pre

dic

ted

Bre

ed

ing

Va

lue

fo

r C

ore

Le

ng

th (

mm

)

Adverse genetic correlation between juvenile wood quality traits and growth traits in the progeny of 2nd generation breeding population

Page 5: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

Adverse effect on stiffness from selection on growth in radiata pine population

Percentage change of stiffness based on different population and selection scenario (based on 226,474 radiata pine trees in

STBA database)

-15%

-10%

-5%

0%

5%

10%

15%

20%

25%

1G 2G 3G 1G-Top20

2G-Top20

3G-Top20

Top20 MAI-Top20

STF-Top20

BRS-Top20

SWE-Top20

Page 6: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

55 publications in radiata pine 1960-2007

11 traits with focus on wood quality DEN MfA MoE SGA SRG FBL DBH STS BRA

BRS BRC

Heritability and genetic correlation

Genetic Parameters

Page 7: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

Genetic correlation between DBH and wood density in radiata pine

Range -1.08 - 0.60

13 Pub. 64 estimates, 94% negative

0

5

10

15

20

25

30

35

-2.0 -1.7 -1.4 -1.1 -0.8 -0.5 -0.2 0.1 0.4 0.7 1.0 1.3 1.6 1.9

Estimated Genetic Correlation Between DBH and Density

Fre

qu

en

cy

of

Es

tim

ate

s 51.0x

Page 8: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

Wood Density

Range 0-1.21, Mean=0.59, Median=0.64,

25 Pub. 244 Estimates

Page 9: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

MfA

Range 0-1.15, Mean=0.61, Median=0.62

5 Pub. 122 Estimates

Page 10: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

MoE

Range 0.04-0.85, Mean=0.49, Median=0.51

8 Pub. 134 Estimates

Page 11: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

Summary of Heritability

Mean, Min. and Max. of heritability

0.00

0.20

0.40

0.600.80

1.00

1.20

DENM

fASPG

FBL

STF (MoE

)BRC

BRSBRA

DBHSTS

SHR

Traits

Her

itab

ility Min

Max

Mean

Page 12: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

Develop economic breeding objective (weights)

Dissect genetic base of the adverse correlation and developing purging strategy

Strategies dealing with adverse genetic correlation

Page 13: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

Developing breeding objective

Breeding for profit – which is the best tree??

-$4

$14

$7

$10

$9$12

Page 14: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

Developing breeding objective

Biological Values

Economic Values

BIO-ECONOMIC MODELBIO-ECONOMIC MODEL

Economic Weight of Target Traits

Page 15: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

Sawing study and resource evaluationSawing study and resource evaluation

Resource ProductWood properties Structural grades

Link

Relate

Page 16: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

Breeding objective traits and their economic weights

MAI SWE BRS MOE

unit m3 mm/m mm MPa

PlantationsEW $/ha

291 58 248 0

SawmillEW $/m3 -0.18 1.19 1.97 10.5

IntegratedEW $/ha

416 194 620 977

Page 17: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

Genetic gain with selection intensity 1/10

MAI SWE* BRS* MOE ΔNPV

Mean 24 10.3 5.5 11.3

unit m3/ha mm/m cm MPa %

Grower 8.09 0.37 -0.63 0.02 115.4SawMill 2.21 -4.4 -0.31 0.32 34.1

Integrated 6.7 -2.07 -0.57 0.15 61.1

Objective Traits

Page 18: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

Genetic gain for radiata pine population (based on economic breeding objective and genetic parameters)

NPV($/ha) based on different population and selection scenario (based on 226,474 radiata pine trees in STBA database)

$0

$500

$1,000

$1,500

$2,000

$2,500

$3,000

$3,500

$4,000

$4,500

$5,000

1G 2G 3G 1G-Top20

2G-Top20

3G-Top20

Top20 MAI-Top20

STF-Top20

BRS-Top20

SWE-Top20

Page 19: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

Further studies addressing adverse genetic correlation

Juvenile Wood Initiative Genetic bases of negative genetic

correlation Developing breeding and deployment

strategies using a VIRTUE GENE Deterministic model

Locus-based model

Silviculture + Genetics

Page 20: Harry Wu and Milos Ivkovich

THE JOINT FORCES OF CSIRO & SCION

Thanks


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