Your SlideShare is downloading. ×
Genotype by environment interactions (GxE) - Van Etten
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Introducing the official SlideShare app

Stunning, full-screen experience for iPhone and Android

Text the download link to your phone

Standard text messaging rates apply

Genotype by environment interactions (GxE) - Van Etten

1,626
views

Published on

Presentation by Jacob van Etten. …

Presentation by Jacob van Etten.

CCAFS workshop titled "Using Climate Scenarios and Analogues for Designing Adaptation Strategies in Agriculture," 19-23 September in Kathmandu, Nepal.

Published in: Technology

0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
1,626
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
28
Comments
0
Likes
1
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Genotype by environment interactions (GxE) and climate change
    Jacob van Etten
  • 2. G x E
    P = G + E + G*E
    P = Production
    G = Genotype
    E = Environment
  • 3. In other words...
    Suppose we have
    • a continuous environmental variable
    • 4. two different genotypes i = {1,2}
    Now the regression equation becomes:
    P = (β0 +) β1Gi + β2E + β3GiE (+ e)
  • 5. Purely genetic difference
    P = β1Gi + β2E + β3GiE
    β1≠ 0
    β2 = 0
    β3 = 0
  • 6. Purely additive interaction
    P = β1Gi + β2E + β3GiE
    β1≠ 0
    β2≠ 0
    β3 = 0
  • 7. Non-additive interaction
    P = β1Gi + β2E + β3GiE
    β1 ≠ 0
    β2 ≠ 0
    β3 ≠ 0
  • 8. Cross-over: When does another variety take over?
    climate change ->
  • 9. Lobell et al. (2011) study
    Weather variables
    Yield
    Ecophysiological variables
    Weather variables
    Yield
    Ecophysiological variables
    Estimate statistical model
    Calculate
    + 1 °C
    Predict using estimated model
    Recalculate
  • 10. Lobell et al. (2011)
  • 11. Climate change impact maps
  • 12. GxE: OPV vs hybrid
  • 13. GxE: duration
  • 14. What breeders usually do: AMMI
    Additive Main Effects and Multiplicative Interaction
    Production = G + E + residuals
    Then do a PCA on residuals to visualize the GxE interactions.
    (An alternative is to only remove G – known as GGE.)
  • 15. Example of AMMI Biplot
    Stress
    Normal
  • 16. RDA: adding environmental variables
  • 17. Variety adaptation zones
  • 18. Final remarks
    Statistical models complement mechanistic models
    • Use real data for places where mechanistic models have not been calibrated
    • 19. Get an estimate of the error
    • 20. Link to daily plant breeding practice!
    Package weatherData to get weather data for trial locations and derive ecophysiological variables