le projet digiplante : un réseau de collaborations

Le projet Digiplante :un rseau de CollaborationsCAASCAFECOTROPCirad CPLepse Lerfob GrignonCHINE

Story of the Plant Growth ModelsFrom AMAP to GreenLab Sim HPDe Reffye1980AmapJaeger 1988Amapsim IBarczi1993AmaphydroBlaise1998Modles Hall dveloppement stochastique + gometrieAge physiologiquefonctionnementSimulations de croissanceGL1 &2Kang2003Modles mathmatiquesGL3&4Cournede2004Interaction fonctionnement dveloppementprototypeModle dynamiqueAfricaFranceChinaFranceIFCC

Deux aspects fondamentaux de la Morphognse des plantesLe dveloppement de larchitecture ou la cration des organes par les mristmesOrganognse+Gomtrie = Architecture de la planteGreenLab intgre des connaissances botaniques provenant dAMAPPhotosynthse+rpartition de biomasse = production vgtale/M (pas darchitecture)GreenLab intgre des rgles cophysiologiques provenant des Laboratoires : Ecotrop, Lepse et Wageningen La croissance vgtale ou l expansion des organes par acquisition de Biomasse+ Mcanique, Hydraulique Radiosit, Ray tracing, Images de synthse

La Notion de Pool CommunLarchitecture de la plante joue peu dans la production de biomasse au m. Ce qui compte cest la surface foliaire mise en place.Une branche albinos pousse aussi vite quune branche avec chlorophylle !Pas dinfluence de la repartition de la biomasse sur la photosynthseEffet des puits sur larchitecture du concombre

PBM Tomsim de Wageningen prvision de la production en SerreModule de production de biomasseModule de rpartition en compartimentsPrdiction de rcolte selon la date de plantationcompartiment vgtatiffruitsEp Heuvelink

Module plante Simulation du LAIModule sol Bilan hydriquetempraturePrvision du rendementPBM Pilote du Cemagref prvision de la production en champJ.C. Maihol

Graph1

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06

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08

09

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0.116

0.1317

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0.2721

0.3322

0.3823

0.4424

0.4925

0.5426

0.5927

0.650.48

0.7129

0.7630

0.8231

0.8932

0.9533

1.0434 1

1.1335 1

1.2236 1

1.3137 1

1.411.58

1.5139 1

1.640 1

1.7141 1

1.8442 1

1.9543 1

2.072.43

2.1845 2

2.32.74

2.4447 2

2.5748 2

2.7149 2

2.8650 2

351 2

3.1352 2

3.283.56

3.4254 3

3.5855 3

3.7356 3

3.863.84

3.9858 3

4.0959 3

4.2160 3

4.3261 3

4.462 4

4.4763 4

4.564 4

4.54.5

4.4966 4

4.4867 4

4.568 4

4.569 4

4.4970 4

4.4971 4

4.4972 4

4.4973 4

4.4874 4

4.4875 4

4.4776 4

4.4777 4

4.464.79

4.4679 4

4.4580 4

4.4481 4

4.4382 4

4.4283 4

4.4184 4

4.485 4

4.3986 4

4.3787 3

4.364.7

4.3489 3

4.3290 3

4.391 3

4.2892 3

4.2593 3

4.2394 3

4.295 3

4.1796 3

4.1497 3

4.198 3

4.0799 3

4.034.5

3.99101 3

3.95102 3

3.91103 3

3.85104 3

3.8105 3

3.74106 3

3.68107 3

3.62108 3

3.55109 3

3.48110 2

3.4111 2

3.32112 2

3.24113 2

3.15114 2

3.05115 2

2.96116 2

2.86117 2

2.75118 2

2.62119 2

2.5120 2

2.36121 1

2.23122 1

2.11123 1

1.97124 1

1.83125 1

1.69126 1

1.55127 1

1.41128

1.27129

1.14130

1.02131

0.9132

0.74133

0.610.35

0.48135

0.34136

0.2137

0.18138

0.1139

0.08140

0.07141

0.05142

0.03143

0.01144

0145

0146

0147

148148

149149

150150

151151

152152

153153

154154

155155

156156

157157

LAI sim

LAI mes

DAS

LAI (m2/m2)

lm99

JASLAIJASLAI simLAI mesSomtempKccxKcStressracin

1010000.3210.3

20201300.3110.3

30302700.3410.3

40404200.3410.3

50505700.3410.3

60607100.3410.3

70708600.3310.3

80809900.3210.3

909011100.3110.3

100.01100.011210.010.3110.3

110.01110.011330.020.3110.3

120.02120.021450.030.310.3

130.04130.041580.040.2810.3

140.05140.051720.060.2710.3

150.07150.071860.090.2610.3

160.1160.12000.110.2410.31

170.13170.132170.140.2310.33

180.16180.162300.170.2310.34

190.19190.192450.210.2310.36

200.23200.232600.240.310.38

210.27210.272770.290.3110.39

220.33220.332970.340.3410.41

230.38230.383140.380.3810.42

240.44240.443300.420.4210.44

250.49250.493460.470.4710.45

260.54260.543600.50.510.47

270.59270.593730.540.5410.48

280.65280.650.483880.570.5710.5

290.71290.714020.610.6110.51

300.76300.764140.640.6410.53

310.82310.824270.670.6710.54

320.89320.894420.710.7110.56

330.95330.954560.740.7410.57

34 10.0434 11.044730.780.7810.58

35 10.1335 11.134910.810.8110.6

36 10.2236 11.225080.850.8510.62

37 10.3137 11.315250.880.8810.63

38 10.4138 11.411.585420.910.9110.65

39 10.5139 11.515590.930.9310.66

40 10.640 11.65750.960.9610.68

41 10.7141 11.715930.980.9810.69

42 10.8442 11.846121.011.0110.71

43 10.9543 11.956301.031.030.9970.72

44 20.0644 22.072.436471.051.030.9820.74

45 20.1645 22.186641.061.030.960.76

46 20.2646 22.32.746801.081.030.940.78

47 20.3747 22.446991.091.050.940.8

48 20.4848 22.577181.111.070.9410.81

49 20.649 22.717361.121.090.9440.83

50 20.7250 22.867551.131.10.9440.85

51 20.8451 237731.141.120.9460.86

52 20.9552 23.137901.151.130.9460.88

53 30.0753 33.283.568081.151.140.9380.9

54 30.1954 33.428261.161.140.9270.92

55 30.3155 33.588461.171.150.9210.95

56 30.4356 33.738641.171.160.9420.96

57 30.5557 33.863.848811.171.160.9620.98

58 30.6558 33.988961.181.170.9631

59 30.7659 34.099121.181.170.9631.01

60 30.8660 34.219301.181.180.9621.03

61 30.9561 34.329471.181.180.9541.05

62 40.0262 44.49631.191.180.9521.07

63 40.0863 44.479811.191.180.9521.09

64 40.1164 44.510001.191.180.961.1

65 40.165 44.54.510171.191.180.9721.12

66 40.0966 44.4910341.191.180.991.14

67 40.0967 44.4810511.191.180.991.15

68 40.1168 44.510681.191.180.9891.17

69 40.169 44.510861.191.180.9891.19

70 40.170 44.4911051.191.190.9881.2

71 40.171 44.4911221.191.190.9891.2

72 40.172 44.4911391.191.1911.2

73 40.173 44.4911561.191.1911.2

74 40.0974 44.4811751.191.1911.2

75 40.0975 44.4811941.191.1911.2

76 40.0876 44.4712101.191.1911.2

77 40.0877 44.4712251.191.1911.2

78 40.0778 44.464.7912411.191.1911.2

79 40.0779 44.4612571.191.1911.2

80 40.0680 44.4512741.191.1911.2

81 40.0581 44.4412891.191.1911.2

82 40.0482 44.4313061.191.1911.2

83 40.0383 44.4213221.191.1911.2

84 40.0284 44.4113381.191.190.9961.2

85 40.0185 44.413551.191.190.9961.2

86 4086 44.3913721.191.180.9961.2

87 30.9887 34.3713881.181.180.9961.2

88 30.9788 34.364.714041.181.180.9961.2

89 30.9589 34.3414231.181.180.9961.2

90 30.9390 34.3214411.181.180.9921.2

91 30.9191 34.314571.181.180.9831.2

92 30.8892 34.2814751.181.180.9821.2

93 30.8693 34.2514921.181.180.9661.2

94 30.8394 34.2315091.181.180.9661.2

95 30.895 34.215251.181.180.971.2

96 30.7796 34.1715411.181.180.9691.2

97 30.7497 34.1415581.181.180.9441.2

98 30.798 34.115761.181.170.9131.2

99 30.6699 34.0715881.181.170.8761.2

100 30.61100 34.034.516011.181.170.8641.2

101 30.57101 33.9916141.181.160.8681.2

102 30.52102 33.9516271.181.160.8671.2

103 30.46103 33.9116421.181.160.8651.2

104 30.4104 33.8516581.171.150.8831.2

105 30.34105 33.816741.171.150.8811.2

106 30.27106 33.7416891.171.150.8811.2

107 30.2107 33.6817051.171.140.8811.2

108 30.13108 33.6217191.171.140.9111.2

109 30.05109 33.5517341.171.130.951.2

110 20.98110 23.4817481.161.1211.2

111 20.91111 23.417601.161.1111.2

112 20.83112 23.3217731.161.111.2

113 20.75113 23.2417871.151.0811.2

114 20.66114 23.1518001.151.0711.2

115 20.56115 23.0518161.141.0511.2

116 20.47116 22.9618281.141.0411.2

117 20.37117 22.8618391.13111.2

118 20.25118 22.7518551.120.9311.2

119 20.13119 22.6218721.110.8311.2

120 20120 22.518881.10.6711.2

121 10.87121 12.3619041.090.4711.2

122 10.74122 12.2319181.070.2411.2

123 10.61123 12.1119301.050.2411.2

124 10.48124 11.9719431.030.2411.2

125 10.34125 11.8319551.010.2411.2

126 10.2126 11.6919690.980.2411.2

127 10.06127 11.5519810.950.2411.2

1280.921281.4119920.910.2411.2

1290.781291.2720030.860.2411.2

1300.651301.1420100.820.2411.2

1310.531311.0220150.770.2411.2

1320.411320.920210.710.2411.2

1330.291330.7420260.650.2311.2

1340.181340.610.3520330.590.2311.2

1350.11350.4820410.540.2311.2

1360.081360.3420490.530.2311.2

1370.071370.220560.520.2311.2

1380.051380.1820650.50.2311.2

1390.031390.120750.490.2311.2

1400.011400.0820840.480.2511.2

14101410.0720950.460.2511.2

14201420.0521030.450.2511.2

14301430.0321120.440.2511.2

14401440.0121210.430.2711.2

1450145021290.420.3511.2

1460146021380.40.3511.2

1470147021470.390.3511.2

148014821580.380.3511.2

149014921670.370.3511.2

150015021790.350.3511.2

151015121910.340.3511.2

152015222010.330.3511.2

153015322100.320.3511.2

154015422210.30.3511.2

1550155022310.290.3511.2

156015622430.280.3511.2

157015722540.270.3511.2

0

0

0

0

0

0

0

0

0

0

0

0

0

lm99

LAI sim

LAI mes

DAS

LAI (m2/m2)

Limitations des PBM (daprs Heuvelink & MarcelisPas de prdiction des avortements dorganessimulation de la surface foliaire peu prciseMauvaise gestion des stress climatiques (temprature, lumire, eau)Calcul seul de la production moyenne. Absence de prise en compte de la variabilitPas de bonnes communications entre les diffrents modules. Dfaut de synchronisation et de prvision des interactionsPas de prise en compte de la croissance secondairePas de visualisation de la plante pour les espces floralesLa cause principale est la non prise en compte de la plasticit architecturale due aux interactions croissance-architecture.

Comportement du modle GreenLab :La croissance dpent de la lumire incidente et de son interception croissance pure expansion expansion prod. Biomasse immdiate indfinie . /cycleLes 3 plantes ont la mme production qui ne dpend que de la surface des feuilles on ne peut pas deviner larchitecture

Pourquoi larchitecture ?Pour habiller les PBM?Pour augmenter linformation prise sur la plante sur le fonctionnementPour tudier les composantes du rendement:fonctionnement des mristmes + fonctionnement source-puits:Applications la gntique: QTLOptimisation et controle de la production de la rcolte utile (feuilles, fruits, bois, racines)Rgles de GreenLab: 1)le problme inverse doit tre en adquation avec les choix2) moyennes et variances des donnes doivent tre traiter en // pour le dveloppement et la croissance.

Organisation des groupements dorganes dans les PBM & FSMPBM : Organes en compartimentsGreenLab: Organes en cohortes FSM: organes connectsstructure topologique Systme transport-resistancePool commun de Biomasse

GreenLab and PBM model For GreenLab model: One single plant architecture contains the history of growth and provides numerous data for the inverse problem. For PBM model: one growth date provides only the weights of compartmentsOne plant gives the full history of growth.Plant architectureweight of shoots and fruits. Only one control point for growth processComputed organ sink variationsGreenLabPBM

Graph1

0

0

0.0004218788

0.0296823468

0.1720905097

0.4565331044

0.7898672314

1

0.9451541115

0.6260625517

0.2280564926

0

Feuil1

Croissance instantane du fruita5.17551

b4

tTx relTx normalisLoi beta estimeT10Loi beta dduite des mesures d'accroissement des fruits

10000000

20000000

319.1650.49624546870.00000316740.00042187880.81205391820.99696172970.0997349768

434.510.89357845680.00022285250.02968234680.814528676410.0062488678

538.0350.98485240810.00129204090.17209050970.78259924820.96080011770.0409063407

636.830.95365095810.00342761180.45653310440.73663024410.90436379390.0470979903

738.6210.00593025610.78986723140.68058461140.83555635440.1020261905

838.3250.99236147070.007507915110.61513202030.75519995560.1423020583

923.6650.61276540650.00709613690.94515411150.53923992830.66202694140.0054059959

101.92950.049961160.00470042450.62606255170.44990881520.5523547890.1599581269

11000.00171222880.22805649260.33987153510.41726159550.1155126604

120000000

130000000

140000000

150000000

160000000

170000000

180000000

190000000

200000000

MAX38.6210.007507915110.81452867641

0

a1.0598428009

b1.56372922710.7191932074

TxBeta

0000

0.4962454687496.245468669100

0.8935784568893.57845675820.49624546870.00000316740

0.9848524081984.85240807871.38982392540.000226020

0.9536509581953.65095805282.37467633350.00151806090.0004218788

110003.32832729160.00494567270.0296823468

0.9923614707992.36147074054.32832729160.01087592890.1720905097

0.6127654065612.76540652515.32068876230.0183838440.4565331044

0.0499611649.96116002075.93345416880.02547998090.7898672314

005.98341532880.03018040541

005.98341532880.03189263410.9451541115

5983.41532884525.98341532880.03189263410.6260625517

5.98341532880.03189263410.2280564926

5.98341532880.03189263410

5.98341532880.0318926341

5.98341532880.0318926341

Beta lawGrowth Rate

00

00

0.00009929250.0829356512

0.00708526560.2322760801

0.04758811640.3968707836

0.15503676230.5562509052

0.34093820870.7233771691

0.57629604990.8892268342

0.79874548120.9916360272

0.94609421180.9999858492

0.99976909560.9999858492

0.99976909560.9999858492

0.99976909560.9999858492

0.99976909560.9999858492

0.99976909560.9999858492

0.99976909560.9999858492

Feuil1

observed growth rate

beta law optimized from GreenLab

biomass

Beta law

Growth Rate

#tTotal_massBiomassDemandQ/DQbudQlayRoot_massQrootQ_InQ_BlQ_PeQ_FflQ_MflHauteurDbud_PotDbudLeaf_Func_tBlSurfSpCI

0111.0090.991210000000001.0091.0090000

12.5581.5588.2030.60570.580.6339000.2360.52380.1641002.4743.0540.9575200.0017860.093730.009468

25.382.82210.450.86340.79290.9013000.63220.96140.3275005.8762.9370.9183200.0032620.093730.0172

310.475.09213.031.2551.0811.305001.4611.7050.62060011.472.7650.8611200.005970.093730.03118

419.438.96114.282.0151.7352.095003.2922.6570.9160020.412.7650.8611200.010770.093730.05533

534.0414.6117.012.7572.3742.866005.7074.411.6240032.462.7650.8611200.018260.093730.09137

657.0823.0417.864.1423.5674.306009.9246.5032.3050048.842.7650.8611200.030680.093730.1472

790.6833.619.685.4824.7215.70013.8510.213.8370068.092.7650.8611200.0490.093730.2212

8137.246.5219.547.6446.5827.9460019.3214.085.1770090.752.7650.8611200.077750.093730.3204

9196.158.9521.019.017.7599.3670022.7719.327.4900114.62.7650.8611200.11740.093730.4298

10265.569.3322.549.8778.50610.270024.9624.269.84900138.72.7650.8611200.17180.093730.5418

11341.676.1621.683.5136.68911.730028.3725.3710.6900164.11.9041.904200.24020.093730.6398

12421.279.5624.713.228.61110.750030.5727.2710.9700178.42.6742.674200.31160.093730.71

13510.288.9529.253.0418.13310.150036.5630.2711.9800188.52.6742.674200.38850.093730.7625

14616.9106.734.883.068.18410.22004735.4414.0700195.62.6742.674200.47370.093730.8034

15741.1124.241.143.0188.07110.070057.5640.216.20.14210199.92.6742.674200.57360.093730.8369

16875.9134.850.652.6627.1198.8860060.2340.3216.588.8180201.72.6742.674200.68680.093730.8636

171020144.172.191.9965.3376.6620050.7334.0214.3238.330202.12.6742.674200.80040.093730.8829

181167146.7108.31.3553.6234.5220036.2825.7611.1169.020202.12.6742.674200.89620.093730.8954

191294127.1147.20.8632.3082.8810023.317.277.53976.070202.12.6742.674200.96880.093730.9032

201406112.7170.70.661.7652.2030017.8213.215.76673.660202.12.6742.674201.0170.093730.9079

211527120.5164.60.73231.9582.4450019.7714.666.39877.240202.12.6742.674201.0510.093730.9108

221668141.51291.0972.9343.6620029.6121.969.58476.650202.12.6742.674201.0850.093730.9136

231826157.284.541.8594.9736.2070050.237.2216.2547.330202.12.6742.674201.1330.093730.9173

241981155.960.582.5736.8818.5890069.4651.522.483.8590202.12.6742.674201.2030.093730.9221

252137155.959.092.6387.0558.8070071.2252.8123.0500202.12.6742.674201.3050.093730.9281

262283145.459.092.4616.5818.2150066.4349.2621.500202.12.6742.674201.4030.093730.9332

272415132.359.092.2395.9887.4750060.4544.8219.5600202.12.6742.674201.4860.093730.9369

282550134.959.092.2846.1077.6230061.6445.7119.9500202.12.6742.674201.5510.093730.9396

292685134.959.092.2846.1077.6230061.6445.7119.9500202.12.6742.674201.6150.093730.9419

302815129.759.092.1955.877.3270059.2543.9319.1800202.12.6742.674201.6770.093730.9441

312942127.159.092.1515.7517.1790058.0543.0518.7900202.12.6742.674201.7350.093730.946

323077134.959.092.2846.1077.6230061.6445.7119.9500202.12.6742.674201.7570.093730.9467

333221144.159.092.4396.5228.1410065.8348.8121.3100202.12.6742.674201.7570.093730.9467

343362141.559.092.3946.4037.9930064.6447.9320.9200202.12.6742.674201.7850.093730.9475

353497134.959.092.2846.1077.6230061.6445.7119.9500202.12.6742.674201.8270.093730.9487

363640142.859.092.4176.4628.0670065.2348.3721.1100202.12.6742.674201.8770.093730.9501

373779138.959.092.356.2857.8450063.4447.0420.5300202.12.6742.674201.9380.093730.9516

383904125.859.092.1285.6927.1050057.4542.618.5900202.12.6742.674201.9920.093730.9529

394034129.759.092.1955.877.3270059.2543.9319.1800202.12.6742.674202.0240.093730.9537

404155120.559.092.045.4556.8090055.0640.8317.8200202.12.6742.674202.0510.093730.9543

41423782.5359.091.3973.7354.66200?????202.12.6742.674202.0590.093730.9545

Organigramme du dveloppement et de la croissance vgtalegrainephotosynthseH2OPool de biomasseleavesracinestranspirationCHObranchesPlante GreenLab

Lunit Architecturale et la Ritration (Edelin, Barthlmy)Axes types ina young treeAxes types inan old tree with reiteration

Organognse : factorisation par sous structures grce aux ges physiologiquesYan HongPingKang MengZhenJP QuadratPh CourndeLe temps mis pour simuler la plante est seulement proportionnel aux ges chronologiques et physiologiques. Automate double chelle:

La croissance secondaire avec remonte des assimilatsLetort(1-) 0 0.5 0.6On peut connaitre la surface foliaire au dessus de tout point dune sous-structureModle de croissance secondaire CEPE Leban -Houllier

dynamical equations of GreenLab modelPlant development factorizationDemand computationBiomass of organ depending of sink strength supply/demandSurface of leaves depending of allometryBiomass production depending of light

GreenLab theoryBut LAI is dependant of Qn-1, QoEquation for Plant Growth in Ecophysiologye =SLWSp = plant proj. surfLAI = Leaf surf/SpNa =nb of leavespa = leaf sink functionD = plant demandThen we can build the Plant Growth as a dynamical system with recurrenceAdvantage is that this equation support Mathematical processes as derivation, optimization, parameter identification, differential statistics LAI = Leaf surf/mTherefore, mathematically speaking, GreenLab can improve the efficiency of PBM

Cas des Structures StochastiquesLaugmentation des rptitions alatoires des sous-structures de mme C.A et P.A. amliore la finesse de la distribution .Exemples de collections de sous-structuresS(2,6)Lautomate double chelle passe facilement au cas stochastiqueKang Mengzhen Ph de ReffyeT. Calcul 1er arbre =~Col* Ag. Phy*Ag. Chrono.T. Calcul 2nd arbre = Ag. Phy*Ag. ChronoS(3,3)S(4,2)Le Premier arbre cre la collection de branches qui habillent la Foret!

Identification paramtrique par la mthode des moindres carrsProgramme De CroissanceFonctions sources et puits optimiserAjustement desdonnes en parallleVariables Initialises

ConvergenceZhan Zhigang

Plantes calibres avec Greenlab

GreenLab va des herbaces aux arbresArabidopsisYoung pineV. Letort & A. ChristopheV. Letort & Guo HongLepseDveloppement et architecture dcoupls

Calibration du Mas (Ma, CAU) avec GreenLabEffet densitCalibration du modle (inverse probleme)CooperationCirad Amap + Ecotrop (Dingkhun)Effet climatGuo Yan, Zhan ZhiGangMa Y Tao, Ph de Reffye

Effet de la densit sur la production du MasHaute Densit 30*30Basse Densit 60*60Interpolation du rendement entre les densitsRelations surface/plante surface de projectionMa YunTao

Bangyou Zheng (CAU) modlisation du riz (avec remobilisation)

controle optimal sur l irrigation du TournesolWu Li n ,Guo YanFx Le DimetCroissance simule H.REY(Digiplante) LepseCooperation :Cirad (AMAP)ECP INRIA (Idopt + Digiplante)

Calibration de la Betterave (ITB)Croissance du pivotProfile foliaire sur 4 stadesSimulation de la croissanceAjustement du temps thermique

Compar100m_ISO

3.142857142922.1428571429319.1182378299

3.5714285714253.7142857143

4.857142857126.83333333334.8571428571

7.2857142857287

9.2857142857319.5714285714

12.285714285715.7142857143

15.142857142918.1428571429

1722.2857142857

20.142857142926.5714285714

100 000 plantes / Ha


Plantes isoles

Point rupture pente

Temps thermique depuis mergence (Cj)

Nombre de mtamres apparus

Phyllo_100m

Dnombrement du nombre de feuilles prsentes chaque date de mesures (chaque cotyldon compte pour 1 feuille)

Date25-Apr28-Apr2-May5-May12-May17-May24-May1-Jun7-Jun15-Jun28-Jun4-Jul11-Jul17-Jul1-Aug8-Aug22-Aug5-Sep12-Sep3-Oct

TpsT(Cj)199.1234.4275.3328.8423.8499.4597.1703.1793.8989.31240.31389.21538.41685.32050.3217824142665.42809.42920.4

P156691114161921232529313539212856

P2456101115181825272828333556

P34568101518192324292831323339394266

P44468111316192123272924323638354563

P54468912151721232430254052

P64468101115171920242527313748

P74457101315171822252828293133333656

Moy.4.14285714294.57142857145.85714285718.285714285710.285714285713.285714285716.14285714291821.142857142923.14285714292627.833333333329323134.2535303856.7142857143

Min.44579111517182024252429313330212848

Max.5661011151819252729293335313639394566

Dnombrement du nombre de mtamres prsents chaque date de mesures (les deux cotyldons comptent pour 1 mtamre)


TpsT(Cj)199.1234.4275.3328.8423.8499.4597.1703.1793.8989.31240.31389.21538.41685.32050.3217824142665.42809.42920.4

P14558101315182022242830003438202755

P23459101417172426272732340000055

P33457914171822232827303103238384165

P433571012151820222628233103537344462

P5335781114162022230000029243951

P63357910141618192324260003003647

P73346912141617212427272830323203555

Moy.3.14285714293.57142857144.85714285717.28571428579.285714285712.285714285715.14285714291720.142857142922.14285714292526.833333333328313033.2534293755.7142857143

Min.33468101416171923242328303229202747

Max.455910141718242628283234303538384465

abNbMet = 1 (2cotyldons = 1mta)Phyll (1/a)cdPhyll (1/c)TT80_ruptureNbMet_rupture

P10.0278-1.6294.3736.020.01526.4465.93640.1316.15

P20.0328-3.32131.7630.520.011912.9384.11778.2922.18

P30.0323-3.56141.0530.950.010912.8691.58767.2821.23

P40.0299-3.12137.9333.490.009113.57110.12803.3720.87

P50.0281-2.98141.7535.630.004018.06251.00873.5221.54

P60.0260-2.25125.2538.520.01256.9580.32680.9415.43

P70.0261-2.43131.2838.310.010311.3597.39869.9320.28

Moy.0.0290-2.75129.5234.510.01229.9282.08754.8119.12

Min.0.0259-2.67141.7338.600.01088.6692.87748.8116.73

Max.0.0322-2.72115.5131.080.011513.8486.82801.5523.07

NbMet = 1 (2cotyldons = 1mta)Phyll (1/a)Phyll (1/c)TT80_rupture

Moy.129.5234.5182.08754.81

Max.115.5131.0886.82801.55

Phyllo_100m

0000000

000000

000000

000000

000000

000

000

000

000

Moyenne

Minimum

Maximum

Moyenne

Minimum

Maximum

Rupture

Temps thermique (Cj) depuis mergence



Phyllo_100m (2)



TpsT(Cj)199.1234.4275.3328.8423.8499.4597.1703.1793.8989.31240.31389.21538.41685.32050.3217824142665.42809.42920.4

P156691114161921232529313539212856

P2456101115181825272828333556

P34568101518192324292831323339394266

P44468111316192123272924323638354563

P54468912151721232430254052

P64468101115171920242527313748

P74457101315171822252828293133333656

Moy.4.14285714294.57142857145.85714285718.285714285710.285714285713.285714285716.14285714291821.142857142923.14285714292627.833333333329323134.2535303856.7142857143

Min.44579111517182024252429313330212848

Max.5661011151819252729293335313639394566



TpsT(Cj)199.1234.4275.3328.8423.8499.4597.1703.1793.8989.31240.31389.21538.41685.32050.3217824142665.42809.42920.4

P14558101315182022242830003438202755

P23459101417172426272732340000055

P33457914171822232827303103238384165

P433571012151820222628233103537344462

P5335781114162022230000029243951

P63357910141618192324260003003647

P73346912141617212427272830323203555

Moy.3.14285714293.57142857144.85714285717.28571428579.285714285712.285714285715.14285714291720.142857142922.14285714292526.833333333328313033.2534293755.7142857143

Min.33468101416171923242328303229202747

Max.455910141718242628283234303538384465

abNbMet = 0 (2cotyldons = 1mta)Phyll (1/a)cdPhyll (1/c)TT80_ruptureNbMet_rupture

P10.0278-1.6258.3536.020.01526.4465.93640.1316.15

P20.0328-3.32101.2430.520.011912.9384.11778.2922.18

P30.0323-3.56110.1030.950.010912.8691.58767.2821.23

P40.0299-3.12104.4433.490.009113.57110.12803.3720.87

P50.0281-2.98106.1235.630.004018.06251.00873.5221.54

P60.0260-2.2586.7338.520.01256.9580.32680.9415.43

P70.0261-2.4392.9738.310.010311.3597.39869.9320.28

Moy.0.0290-2.7595.0134.510.01229.9282.08754.8119.12

Min.0.0259-2.67103.1238.600.01088.6692.87748.8116.73

Max.0.0322-2.7284.4331.080.011513.8486.82801.5523.07

NbMet = 1 (2cotyldons = 1mta)Phyll (1/a)Phyll (1/c)TT80_rupture

Moy.129.5234.5182.08754.81

Max.115.5131.0886.82801.55

NbMet = 0 Initiation thoriquePhyllochrone 1Phyllochrone 2TT rupture

P158.3536.0265.93640.13

P2101.2430.5284.11778.29

P3110.1030.9591.58767.28

P4104.4433.49110.12803.37

P5106.1235.63251.00873.52

P686.7338.5280.32680.94

P792.9738.3197.39869.93

Moy.95.0134.5182.08754.81

Min.103.1238.6092.87748.81

Max.84.4331.0886.82801.55

Phyllo_100m (2)

Moyenne

Minimum

Maximum

Moyenne

Minimum

Maximum

Rupture

Temps thermique (Cj) depuis mergence



Phyllo_iso


Date25-Apr28-Apr2-May5-May12-May24-May1-Jun7-Jun15-Jun

TpsT(Cj)199.1234.4275.3328.8423.8597.1703.1793.8989.3

P145681118212531

P245681116192125

P344581015192227

P445681017182430

P544681016192328

P645681118202424

P745681117182428

Moy.44.71428571435.8571428571810.571428571416.714285714319.142857142923.285714285727.5714285714

Min.44581015182124

Max.45681118212531


Date25-Apr28-Apr2-May5-May12-May24-May1-Jun7-Jun15-Jun

TpsT(Cj)199.1234.4275.3328.8423.8597.1703.1793.8989.3

P13457101720243000000000000

P23457101518202400000000000

P3334791418212600000000000

P4345791617232900000000000

P5335791518222700000000000

P63457101719232300000000000

P73457101617232700000000000

Moy.33.71428571434.857142857179.571428571415.714285714318.142857142922.285714285726.5714285714

Min.3347914172023

Max.34571017202430

abNbMet = 1 (2cotyldons = 1mta)Phyll (1/a)

P10.0350-4.34152.5428.58

P20.0275-2.13113.6636.31

P30.0303-3.66153.4832.95

P40.0328-4.00152.4730.50

P50.0314-3.73150.7531.88

P60.0288-2.19111.0534.76

P70.0311-3.26136.9432.16

Moy.0.0310-3.33139.7232.27

Min.0.0272-2.64133.6836.72

Max.0.0350-4.34152.5428.58

NbMet = 1 (2cotyldons = 1mta)Phyll (1/a)

Moy.139.7232.27

Max.152.5428.58

Phyllo_iso

000000

000000

000000

000000

000000

000

000

000

000

Moy.

Min.

Max.

Moy.

Min.

Max.

TT80 (Cj)

Nb Met

variance de la production dpendant de la variance des paramtresMoyennes et variances compartiment feuillesMoyennes et variances compartiment fruitsMoyennes et variances poids de la planteEtude des 18 derniers phytomres

Topological structure of pepper plantPlants were pruned to two main stems, with the weakest branch of each dichotomous split pruned above the first flower and leaf.

Funky fittingBranch 1 (phy 2)

Funky fittingPlant_1Plant_2Plant_3Plant_4(1) Isolated fruit can be detected in the model for plant 3(2) First peak is corresponding to the starting branches!!Q/DGrowth Cycle( GC)Q/DGrowth Cycle( GC)Q/DGrowth Cycle( GC)Q/DGrowth Cycle( GC)Relationships between fruit positions and Q/D

Mise en place des ritrations importance de Q/D (GL3)CourndeMathieu

Age 10 20 30 Densit forte:Densit faible:Environnement variableAge 10 20 30 15 15 15Sp 1 2 4Gradient de densitMathieuE & Sp

Vers le fonctionnement des peuplements forestiersMthodes des intersections des surfaces de projectionLarchitecture sadapte automatiquement en fonction du LAI. Pas besoin despace voxelArbre isolArbre au centreArbre priphriqueComptition dans un bosquetPh Cournde

Diffrentes chelles danalyse de la plante : mesures en biomasses agrges par compartiments diffrents niveaux.(PA)3- Cibles simplifies.Pour chacun de ces niveaux, on a galement des niveaux de dtails diffrents pour la description de la topologie. 0: Cible CumuleMasse du comptmt feuilleMasse du compartiment entre-noeudMasse du compartiment fruit (ou fleur)Masse du compartiment cernes (ventuellement)1: Cible Lollipop-Le tronc est dtaill par UC-Les axes sont tous regroups2: Cible RattleLe tronc est dtaill par UCLes axes sont regroups par zone branche (PA)3: Cible Complte- Les compartiments de biomasse sont mesurs au niveau de lorgane.

Modlisation du HtreTopologie de larbre 1 ajust : le nombre de mtamres et daxes par UC chaque cycle dpend du rapport Q/DV. LetortLerfob

Graph3

2.72.88

2.72.78

2.312.65

2.312.64

2.232.58

2.162.54

2.132.51

2.082.44

2.092.38

1.982.32

1.962.22

1.811.82

1.731.81

1.681.75

1.491.51

1.291.02

1.130.717

0.8950.535

0.570.445

0.450.31

00.361

Observed Data

Fitted Data

Trunk GU

Internode Mass (g)

Internode Diameter (Tree 1)

Feuil1

in mass obsbla mass obsin mass simbla mass simPA 2

116027.967.128.1PA 2

1445.12936.624.6PA 2

1514.912.126.421PA 2

1616.212.218.417.5PA 2

1722.123.612.214PA 2

189.9614.37.5110.4PA 2

193.728.482.95.57PA 2

200.043.040.992.48PA 2

78.023.254.740.442PA 3

85.081.14.950.442PA 3

96.873.875.070.442PA 3

101.240.4755.160.442PA 3

131.341.445.992.21PA 3

145.773.335.152.21PA 3

15????

16?1.153.732.21PA 3

178.229.343.042.21PA 3

183.966.672.292.21PA 3

200.342.290.7071.77PA 3

7

8

9

10

13

14??0.3280.442PA 4

150.050.1350.2890.442PA 4

160.0950.4050.250.442PA 4

170.160.390.2080.442PA 4

18????PA 4

190.050.390.1030.442PA 4

20??0.05310.442PA 4

masslongdiam obsmasslongdiam

110.31.752.716.52.542.880010

210.31.752.715.62.562.780011

315.43.252.3113.52.452.650010

415.43.252.31142.562.640011

5153.52.2313.22.522.580011

611.232.169.161.82.540011

716.54.52.1310.32.082.510010

85.741.672.087.831.672.440020

95.691.52.098.181.842.380020

106.621.987.441.762.320020

115.781.71.966.611.712.220020

125.21.751.815.992.311.820020

135.351.881.737.272.841.810020

149.793.81.686.712.781.750021

159.474.631.494.022.231.510044

1611.37.21.292.362.861.020022

177.556.331.131.122.770.7170033

183.935.250.8950.6873.050.5350010

192.156.750.570.8825.670.4450011

201.165.50.450.2212.920.310011

2100.500.4724.610.3610010

Feuil1

&A

Page &P

Internode obs

Internode sim

Blade obs

Blade sim

Trunk GU

Internode Mass (g)

Compartment Mass on Branches PA 2(tree 2)

Feuil2

Internode obs

Internode sim

Blade obs

Blade sim

Trunk GU

Internode Mass (g)


Feuil3

Internode obs

Internode sim

Blade obs

Blade sim

Trunk GU

Internode Mass (g)


Observed Data

Fitted Data

Trunk GU

Internode Mass (g)

Internode Mass Main Stem(Tree 1)

Observed Data

Fitted Data

Trunk GU

Internode Mass (g)

Internode Diameter (Tree 1)

The figure show the 3D visualization according to the fitting results of DigiPlant

le projet digiplante : un réseau de collaborations

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