Estimation of Genetic Multipliers for Douglas-Fir Height- and Diameter-Growth Models Peter J. Gould, David D. Marshall, Randy Johnson and Greg Johnson - PowerPoint PPT Presentation

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Estimation of Genetic Multipliers for Douglas-Fir Height- and Diameter-Growth Models Peter J. Gould, David D. Marshall, Randy Johnson and Greg Johnson

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DBH Data: Variation between Sets. 10-YR GROWTH PERIOD. DBH Data: Breeding Values ... 3. Removing sources of variation other than genetics is very important. ... – PowerPoint PPT presentation

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Title: Estimation of Genetic Multipliers for Douglas-Fir Height- and Diameter-Growth Models Peter J. Gould, David D. Marshall, Randy Johnson and Greg Johnson


1
Estimation of Genetic Multipliers for Douglas-Fir
Height- and Diameter-Growth Models Peter J.
Gould, David D. Marshall, Randy Johnson and Greg
Johnson
2
1. Estimate growth differences between average
(woods-run) tree and individual families in
terms of genetic-gain multipliers. 2. Relate
multipliers to breeding value (BV percent gain
at age 10).3. Evaluate multipliers effects in
model.
Study Objectives
3
Effect of Multipliers

Initial Size Advantage
Gain Multiplier 0.05
Typical Tree
4
Coop breeding zone. Completely independent
families. Sites Geographical locations within
coops.
NWTIC 1st-Generation Progeny Tests
5
DBH Data Variation between Coops
10-YR GROWTH PERIOD
6
DBH Data Variation between Sites
10-YR GROWTH PERIOD
7
DBH Data Variation between Sets
10-YR GROWTH PERIOD
8
DBH Data Breeding Values
BV Age 10 Gain 1 (percent)
9
1. Average growth woods run.2. Multipliers
work with any unbiased growth model.3. Removing
sources of variation other than genetics is very
important.
Modeling Strategy Assumptions
10
Strategy1. Fit models with random effects at
site-set level.2. Calculate genetic multiplier
(m) for each family at coop level. Obs m
Pred3. Estimate m from BV. m A0 A1
BV
11
gt16 coopsgt 109 sitesgt 513 site-setsgt 2485
familiesgt 222 818 observations
10-YR Modeling Dataset HT Model
12
?HT b1HTb2b3HTrandom effects on
b1,b2,b3Fixed Effects ?HT
231.7HT0.940.86HT
HT Model 1
13
HT Model 1
Model R2
Base 37.6
Base random effect 69.0
Residual Variation () 31.0
Between Families () 2.4
14
HT Model Results Family M
15
gt7 coopsgt 45 sitesgt 193 site-setsgt 1160
familiesgt 76 012 observations
Modeling Datasets DBH Model
16
?DBH b1DBHb2b3DBHb4BA REPrandom effects on
b1,b2,b3Fixed Effects ?DBH
3.7DBH0.31.01DBH0.97BA REP
DBH Model 1
17
DBH Model 1
Model R2
Base 25.5
Base random effect 61.6
Residual Variation () 38.4
Between Families () 3.3
18
DBH Model Results Family M
19
10-yr A1 estimates
Study Ht Diameter
Gould 0.001434 0.001577
Marshall 0.001498 0.001657 --
R. Johnson (BV 13) 0.001145 --
G. Johnson (assume BV13) 0.001824 0?
20
Other Periods
  • Ht data for 5-yr (167,000 obs) and 15-yr (7600
    obs) growth.
  • DBH data for 5-yr (7,700 obs) and 15-yr growth
    (20,000).
  • Estimates of m are higher for 5-yr, but about
    the same for 15-yr growth.

21
Whats Next?
  • Manuscript on multipliers.
  • ORGANON interface.
  • Test multipliers.
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