2016.10.17
0 9/26
1
1.1) 9/26
1.2) 10/3
1.3) 10/17
2
2.1) 10/24
2.2) QTL 10/31
2.3) GWAS 11/7
2.4) 11/14
2.5) × 11/21
3
3.1) 12/5
12/12
12/19
3.2) 12/26
3.3) : 1/5
4 1/16
060310391
0560565
3
2016/10/17 13:00-14:45
@1 - 4
2
McCouch et al. (2012) Am J Bot. 99: 407
700 1,750
•
•
•
Glaszmann et al. (2010) Curr Opin Plant Biol 13: 1
ICRISAT
(INTERNATIONAL CROPS RESEARCH INSTITUTE FOR THE
SEMI-ARID TROPICS)
@Hyderabad India
QTL
QTL
DNA
GWAS
DNA
Morrell et al. (2012) Nature Review Gene]cs 13:85
Nested Associa]on Mapping (NAM)
• QTL
• GWAS
•
LD
LD
Yu et al. (2008) Gene]cs 178: 539-551 15
• DNA
•
• PCR
•
•
•
A A C C
T T G G
SNP
ddRAD-Seq
ICRISAT
1 / 1
6000 (600 Gb) / 1
200
30
1,500
4
DNA
0 10 20 30
0 5 10 15 20 25
Brix
count
lt15
DNA
: 700
: 4
: 3
700 x 4 x 3 = 8,400
...
G123.1.3
RF-ID
Bluetooth
Nexus7
Android
Nexus 7
•
• DB
Nexus 7
• IC
• R
•
•
-Bluetooth
Heading Flowering NA
Bird:0 Bird:1 Bird:2
Insect:0 Insect:1 Insect:2
Disease:0 Disease:1 Disease:2
Lodge:0 Lodge:1 Lodge:2
NStem
Juice:0 Juice:1 Juice:2
•
• R
13
l 9,108 (701 /
l 48,483 (3,729 DP/
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9/23 9/24 9/25 9/26 9/27 9/28 9/29 10/1 10/2 10/3 10/4 10/5 10/6
01000020000300004000050000
•
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v()
• USB
RS-232C Bluetooth
• USB
– Excel
• USB
1
• R
– R grid
– pdf() pdf
34
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FinePix REAL 3D W3 ¥13,500
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“Information about the physiological changes in response to drought over time is vital in order to identify and characterize the different drought- tolerance mechanisms.”
→
Berger et al. (2010) J Exp Bot 61:3519
hmp://www.lemnatec.com/sites/default/files/applica]on-sheets/2011/09/23/LemnaTec_Presenta]on_Varna_CMBPS.pdf
Hartmann et al. (2011) Bioinforma]cs 12:148
Laser curtain
Montes et al. (2011) Field Crops Research 121:268–273
Plant breeders are known for their “feel”: the ability to
select subtle traits that enhance a plant’s performance…
Modern plant breeders need the equivalent of a watch-
maker’s magnifying glass and tweezers to tinker with
complex and intertwined traits.
Finkel (2009) Science 325: 380
• NMR, X-ray CT,
Iyer-Pascuzzi et al. (2010) Plant Physiology 152:1148 Tracy et al. (2010) J Exp Bot 61:311
Jones et al. (2009) Func Plant Biol 36:978
LeasyScan in ICRISAT
Current Opinion in Plant Biology 2015, 24:93-99 Current Opinion in Plant Biology 2015, 24:93-99
13 70
SPAD
2
5
4-10 ( 70 )
(NIR), , )
ENDVI (Enhanced Normalized Vegeta]on Index)
Mean of SPAD
r = 0.79 r = 0.76 r = 0.70
B G NIR
B G ENDVI NIR
2 2 + +
−
= +
Mean of N-Content Mean of N-Content
13 lines
Mean of ENDVI
13 lines 70 individuals
NIR, G, B
NIR G B
(
ENDVI ( 0, 1 )
Developed by CSIRO and UT Litchi is a commercial sosware, but it costs just $7…
DEM
DEM
S]tching all images
: ENDVI
B 2 G NIR
B 2 G ENDVI NIR
+ +
−
= +
ENDVI
×
GS, GWAS
7/24 7/31 8/7 8/12
ENDVI
Low control
ENDVI
Control Low Fer]lized
3
3
Watanabe et al. ( ) B
A
DNA
DNA
Watanabe et al. ( )
•
B
A
C
A
C B
Potgieter et,al. Trop Ag, 2015
DJI Mavic Pro: $1,000
2014 7 19
A B
C
D
A
C
9 27
7 1 7 15 7 28
7 1 7 15 7 28
DSM
9 27
Paddy 1
Plant height (Sept 27)
Predic]on
High
Low
Paddy 2 Paddy 3 Paddy 4
Jury 1 Jury 15 Jury 28
feature extrac]on
Support Vector Machine Regression
Training data
Predict 9/27 DSM
Plant height on Sept 27 Logit of prob. for lodging
⎟⎟⎠
⎜⎜ ⎞
⎝
⎛
= − p p p
log1 ) ( logit
Logis]c Regression
Probability for lodging
Machine Learning Method
Accuracy of predic]on
Watanabe et al. (in prep)
•
•
•
3
•
PDF MS−Word PDF
iwata.report@gmail.com
A4 1
0 24
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