Canopy temperature as field phenotyping
trait for rainfed-lowland rice breeding
program for drought tolerance
A. Audebert
RCI Project
• Objectives : to develop drought-tolerant cultivars with high yield potential
in normal years and good yield ...
Field phenotyping for drought tolerance
• Based on Infra-red thermography.
– Canopy temperature give an indication of the ...
Difficulties to solve
• Environmental conditions highly variable
• Quick plant reaction
– Wind
– Radiation

• Low equipmen...
Normalizing canopy temperatures
• Quantifying the water stress with standardizing canopy temperature by
evaporative demand...
Phenotyping experiment
•
•

Dry season 2012-2013
Field experiment

– Villavicencio station “Santa Rosa “(Colombia)
• 250 v...
Methods
• Soil humidity
– 60 AquaPro tubes,
• Distributed in the field

• Weather data
– Davis station (Vantage Pro 2)
• 1...
Field experiment results
Soil heterogeneity

Soil desiccation
35
16

30

Top-soil humidity (%)

14

25
12

20

10

8

15

...
Phenotyping Results

16

15

12

10

8

5

4

0

Frequency (%)

20

20

Frequency (%)

25

0
-4

-3

-2

-1

0

1

2

3

T...
Perspectives : Association studies
• Qtls
Using a mixed model with correction
for structure and kinship, the
association s...
Conclusions
• High-throughput phenotyping with thermographic camera on field condition
is possible
– Could be improved by ...
Thank you
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Th1_Canopy temperature as field phenotyping trait for rainfed-lowland rice breeding program for drought tolerance

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3rd Africa Rice Congress
Theme 1: climate resilient rice
mini symposium: towards improved resistance to abiotic stresses
author: Audebert

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Th1_Canopy temperature as field phenotyping trait for rainfed-lowland rice breeding program for drought tolerance

  1. 1. Canopy temperature as field phenotyping trait for rainfed-lowland rice breeding program for drought tolerance A. Audebert
  2. 2. RCI Project • Objectives : to develop drought-tolerant cultivars with high yield potential in normal years and good yield under drought and other major stresses for each target environment. • Sponsor : Generation Challenge Programme (GCP) • Target countries : Burkina, Nigeria and Mali • Target environment : Rainfed lowland ecosystem • Duration : 4 years • Partners : CIRAD, IRD, IRRI, INERA, IER, NCRI, CIAT and AfricaRice
  3. 3. Field phenotyping for drought tolerance • Based on Infra-red thermography. – Canopy temperature give an indication of the leaf surface cooling capacity by transpiration along environmental conditions – Could be use as a trait for phenotyping • (indirect evaluation of drought) – This trait depending of • Environmental conditions – Air temperature – Wind speed – Solar radiation – Evaporative demand (VPD) • Sol water conditions – Humidity / available • Plant characteristics – Surface of canopy – Plant Architecture – Water status management
  4. 4. Difficulties to solve • Environmental conditions highly variable • Quick plant reaction – Wind – Radiation • Low equipment (1 camera and 1 technician) • Impossible to have one unique picture for the whole experiment – Helicopter, plane – Drone • Optimum 3-4 lines per image – 500 lines -> 160 pictures – 1 image per 30 sec – Tc canopy temperature • Time for measurement – About 3 hours – Environmental stability How to control the environment variability and compare results ?
  5. 5. Normalizing canopy temperatures • Quantifying the water stress with standardizing canopy temperature by evaporative demand (CWSI) – Ta (Air temperature) – VPD (Vapor pressure deficit) – CWSI (Crop water stress index) CWSI (Ts Ta ) (Ts Ta ) min (Ts Ta ) max (Ts Ta ) min • Need simultaneously measurement of the evaporative demand – Weather station – Psychrometer measurement • Humid and dry temperature
  6. 6. Phenotyping experiment • • Dry season 2012-2013 Field experiment – Villavicencio station “Santa Rosa “(Colombia) • 250 varieties tested with 2 reps – 230 Mars lines (IR64 * B6144-F-MR-6-0-0) – 10 controls repeated twice • 3 row of 3 m long • Stress period 3 weeks (5/01-25/01/2013) • Design • • Reproductive stage – – – – Alpha lattice 8 sub-Blocs with 2 replications 2 treatments Complete randomization 5 control varieties repeated Measurements – Canopy temperature (IR thermography camera) – Soil humidity with Aqua Pro system – Microclimatic data with Davis weather station
  7. 7. Methods • Soil humidity – 60 AquaPro tubes, • Distributed in the field • Weather data – Davis station (Vantage Pro 2) • 1 minute delay • Canopy temperature – NEC TH9100 M • • • Human height 500 pictures Image analysis with Image processor
  8. 8. Field experiment results Soil heterogeneity Soil desiccation 35 16 30 Top-soil humidity (%) 14 25 12 20 10 8 15 6 10 4 07/01 14/01 21/01 28/01 Date 04/02 11/02 5 0 0 5 10 Experimental design to control the soil heterogeneity 15 20
  9. 9. Phenotyping Results 16 15 12 10 8 5 4 0 Frequency (%) 20 20 Frequency (%) 25 0 -4 -3 -2 -1 0 1 2 3 Tc-Ta (°C) 4 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 CWSI Better lines with low temperature E207, E153, E14, E110, E31, E16, E79, E167, E59, E242, E130, E217, E139, E239, E220, E30, E163, E57, E231, E127
  10. 10. Perspectives : Association studies • Qtls Using a mixed model with correction for structure and kinship, the association study detected some markers • Based on ajusted values • Software Tassel or other • Determination of LOD • Qtls determination (P-Value) • MARS
  11. 11. Conclusions • High-throughput phenotyping with thermographic camera on field condition is possible – Could be improved by using drone • The use of the CWSI allows to compare cultivars between them during the phenotyping time • Good diversity is observed for transpiration • QTls could be determine with association studies RCI project • Phenotyping is on going – 3 countries (PhD students) • Association study will be done further with SNPs
  12. 12. Thank you
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