434 V.Ninkovic,R.Glinwood,J.Pettersson Van der Werf A (1996) Growth analysis and photoassimilate partitioning, vol 1. In: Zamski E, Schaffer AA (eds) Photoassimilate distribution implants and crops: source-sink relationships.Dekker,NewYork,pp1–20 Weaver TW, Klovich D (1977) Allelopathic effects of volatile substances from Artemisia tridentata Nutt. Am Midl Nat 97:508–512
Subject Index abscisic acid (ABA) 78, 187, 215, 243, 334 acetylcholine 137, 138, 144, 177, 236, 321 actin 24, 27, 75–83, 87–89 actin binding proteins (ABPs) 75, 76, 88 action potential (AP) 19, 25, 67, 192, 277, 278, 283, 291, 293, 300, 309, 310, 321–329, 340, 351, 352, 356, 358–364, 369, 371–373, 375, 378, 381, 383–386, 391–400 algae 30, 68, 69, 97, 277, 283, 304, 392 allelobiosis 421–425, 427–432 allelopathy 405, 421–423 amino acid transport 153–170 anandamide 205–216 aphids 343, 344, 421, 425, 428, 430, 432 apical meristem 27, 28, 124, 130, 132, 370, 373–375, 379, 380, 383 apyrases 223, 227, 230, 231 aquaporin 374, 375, 379, 380 Arabidopsis 99–103, 164–166, 174–177, 187–200, 209–211, 223–231, 238–243 Aristotle 20 ATP 27, 179, 221–232, 239, 243, 262, 279, 354, 376, 377 ATPγs 229, 230 ATPase 160, 282, 291, 302, 303 autoinhibition 406, 412, 413 auxin 19, 22–25, 27, 28, 40–44, 46, 47, 53, 60, 61, 123–133, 140–142, 148, 229, 251 barley 97, 304, 421– 432 behaviour 1–12, 28–31, 199, 242, 261, 267–272, 370, 421, 423, 428, 430, 432 beta-aminobutyric acid (BABA) 190 beta-methylaminoalanine (BMAA) 145–147, 195, 196 beta-oxalylaminoalanine (BOAA) 145 biomass allocation 421, 422, 425, 426, 431 blue light 351, 354, 355, 362 brain 2,5,6,8 calcium 21, 23, 76, 81, 83, 87, 95, 113, 190, 199, 207, 221, 223–227, 238, 242, 253, 261, 278–282, 287, 309–318, 321, 323, 325–327, 362, 379, 380, 408, 410, 415 calmodulin (CaM) 139, 171, 172, 221, 227, 254, 279, 304, 309, 315, 316, 321 caspase 75, 84–88 cationic amino acid transporters (CATs) 159, 160 cell cycle 126, 128, 131 channels 113, 116, 117, 143, 148, 154, 159, 173, 194, 199, 207, 221, 235–244, 277–287, 291–305, 309–318, 321–329, 341, 351, 352, 362, 365, 371–375, 392, 401 circumnutation 21, 265 cofilin 78, 81 communication 1, 7, 8, 19, 21, 31, 66, 72, 89, 148, 174, 236, 240, 244, 270, 277, 310, 321–324, 329, 333, 340, 341–344, 351–353, 369, 373, 374, 385, 386, 403, 416, 421–432 competition 3, 8–12, 404, 407, 411, 413, 421–425, 428, 431 competition between organs 53, 54, 58–61 cryptochrome 354, 355, 370, 375, 377, 386 cyclic GMP (cGMP) 113, 116, 117, 129–132 cyclins 128, 129 cytochrome c 84–88 cytokinins 70, 140, 141, 142, 148 cytoplasmic streaming 78, 79, 222, 223, 309, 312, 313, 314, 318 cytoskeleton 27, 46, 75–89, 215, 284, 309–318 decision 1, 6, 7, 8–12, 19–21, 37, 41, 53, 66, 89
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František Baluška · Stefano Manc
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Dr. František Baluška University
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VI Preface turn, reward the ants by
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VIII Preface of olfactory response.
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Contents 1 The Green Plant as an In
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Contents XIII 6 Signals and Targets
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Contents XV 11 Amino Acid Transport
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Contents XVII 15 Regulation of Plan
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Contents XIX 21.3 Conclusions and P
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Contents XXI 27.3.2 Catechin Induce
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XXIV Contributors Correa-Aragunde,
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XXVI Contributors Lamattina, L. (e-
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XXVIII Contributors Song, C. Depart
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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2 Neurobiological View of Plants an
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2 Neurobiological View of Plants an
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2 Neurobiological View of Plants an
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2 Neurobiological View of Plants an
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2 Neurobiological View of Plants an
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2 Neurobiological View of Plants an
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2 Neurobiological View of Plants an
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2 Neurobiological View of Plants an
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38 P.W. Barlow Thestimulipresentedt
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40 P.W. Barlow that a tropism is su
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42 P.W. Barlow the auxin flow into
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44 P.W. Barlow afferentnervousimpul
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46 P.W. Barlow analysis. In particu
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48 P.W. Barlow reception of his boo
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50 P.W. Barlow Iijima M, Kono Y (19
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4 How Can Plants Choose the Most Pr
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4 How Can Plants Choose the Most Pr
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4 How Can Plants Choose the Most Pr
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4 How Can Plants Choose the Most Pr
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4 How Can Plants Choose the Most Pr
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4 How Can Plants Choose the Most Pr
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66 P.M. Neumann Finally, I examined
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68 P.M. Neumann evolutionary progre
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70 P.M. Neumann conclusion is that
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72 P.M. Neumann resources from matu
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6 Signals and Targets Triggered by
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6TargetsofSI 77 6.1.2 Self-Incompat
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6TargetsofSI 79 by Yang 2002) has p
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6TargetsofSI 81 al. 2002). Thus, SI
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6TargetsofSI 83 Fig.6.2. PrABP80 ha
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6TargetsofSI 85 many of the genes e
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6TargetsofSI 87 [Ca 2+ ]i may signa
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6TargetsofSI 89 is crosstalk betwee
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6TargetsofSI 91 Hepler PK, Vidali L
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6TargetsofSI 93 Snowman BN, Kovar D
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96 T. Nürnberger, B. Kemmerling Wh
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98 T. Nürnberger, B. Kemmerling Fo
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100 T. Nürnberger, B. Kemmerling p
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102 T. Nürnberger, B. Kemmerling i
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104 T. Nürnberger, B. Kemmerling r
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106 T. Nürnberger, B. Kemmerling F
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108 T. Nürnberger, B. Kemmerling M
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8 Nitric Oxide Involvement in Incom
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8 Nitric Oxide Involvement in Incom
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8 Nitric Oxide Involvement in Incom
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8 Nitric Oxide Involvement in Incom
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8 Nitric Oxide Involvement in Incom
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8 Nitric Oxide Involvement in Incom
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124 M.L. Lanteri et al. 9.1.1 Auxin
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126 M.L. Lanteri et al. Fig.9.1. Sc
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128 M.L. Lanteri et al. Fig.9.2. NO
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130 M.L. Lanteri et al. 9.3.1 Nitri
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132 M.L. Lanteri et al. Fig.9.3. Sc
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134 M.L. Lanteri et al. Bellamine J
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136 M.L. Lanteri et al. Pagnussat G
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138 S.J. Murch H 3C CH3 CH3 N H 2C
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140 S.J. Murch edible plants (Manch
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142 S.J. Murch However, over the la
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144 S.J. Murch of monoamine, amino
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146 S.J. Murch On Guam and in other
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148 S.J. Murch 10.4 Conclusions and
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150 S.J. Murch Lindstrom H, Luthman
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11 Amino Acid Transport in Plants a
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11 AA transport in plant versus neu
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11 AA transport in plant versus neu
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11 AA transport in plant versus neu
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11 AA transport in plant versus neu
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11 AA transport in plant versus neu
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11 AA transport in plant versus neu
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11 AA transport in plant versus neu
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11 AA transport in plant versus neu
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12 GABA and GHB Neurotransmitters i
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12 GABA and GHB Neurotransmitters i
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12 GABA and GHB Neurotransmitters i
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12 GABA and GHB Neurotransmitters i
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12 GABA and GHB Neurotransmitters i
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12 GABA and GHB Neurotransmitters i
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12 GABA and GHB Neurotransmitters i
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188 M. Gilliham et al. Fig.13.1. Ar
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190 M. Gilliham et al. as compatibl
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192 M. Gilliham et al. apex (Zhang
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194 M. Gilliham et al. 13.3.3 Are A
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196 M. Gilliham et al. sufficiently
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198 M. Gilliham et al. 2005). It is
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200 M. Gilliham et al. 13.4.5 NSCC
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202 M. Gilliham et al. Kang J, Meht
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204 M. Gilliham et al. Zheng Y, Mel
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206 E.B. Blancaflor, K.D. Chapman F
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208 E.B. Blancaflor, K.D. Chapman N
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210 E.B. Blancaflor, K.D. Chapman v
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212 E.B. Blancaflor, K.D. Chapman l
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214 E.B. Blancaflor, K.D. Chapman N
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216 E.B. Blancaflor, K.D. Chapman 1
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218 E.B. Blancaflor, K.D. Chapman G
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15 Regulation of Plant Growth and D
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15 Regulation of Plant Growth and D
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15 Regulation of Plant Growth and D
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15 Regulation of Plant Growth and D
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15 Regulation of Plant Growth and D
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15 Regulation of Plant Growth and D
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15 Regulation of Plant Growth and D
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16 Physiological Roles of Nonselect
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16 Nonselective cation channels 237
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16 Nonselective cation channels 239
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Fig.16.1. Possible roles of nonsele
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16 Nonselective cation channels 243
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16 Nonselective cation channels 245
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16 Nonselective cation channels 247
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17 Touch-Responsive Behaviors and G
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17 Touch-Responsive Behaviors and G
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17 Touch-Responsive Behaviors and G
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17 Touch-Responsive Behaviors and G
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17 Touch-Responsive Behaviors and G
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17 Touch-Responsive Behaviors and G
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18 Oscillations in Plants Sergey Sh
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18 Oscillations in Plants 263 Tempo
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18 Oscillations in Plants 265 Dries
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18 Oscillations in Plants 267 backg
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18 Oscillations in Plants 269 The f
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18 Oscillations in Plants 271 prehe
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18 Oscillations in Plants 273 Cardo
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18 Oscillations in Plants 275 Shaba
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278 K.Trebacz,H.Dziubinska,E.Krol W
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280 K.Trebacz,H.Dziubinska,E.Krol T
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282 K.Trebacz,H.Dziubinska,E.Krol E
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284 K.Trebacz,H.Dziubinska,E.Krol 1
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286 K.Trebacz,H.Dziubinska,E.Krol n
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288 K.Trebacz,H.Dziubinska,E.Krol D
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290 K.Trebacz,H.Dziubinska,E.Krol S
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292 R. Stahlberg, R.E. Cleland, E.
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294 R. Stahlberg, R.E. Cleland, E.
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296 R. Stahlberg, R.E. Cleland, E.
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298 R. Stahlberg, R.E. Cleland, E.
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300 R. Stahlberg, R.E. Cleland, E.
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302 R. Stahlberg, R.E. Cleland, E.
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304 R. Stahlberg, R.E. Cleland, E.
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306 R. Stahlberg, R.E. Cleland, E.
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308 R. Stahlberg, R.E. Cleland, E.
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310 E.Davies,B.Stankovic It is assu
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312 E.Davies,B.Stankovic 21.2 Evide
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314 E.Davies,B.Stankovic Fig.21.3.
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316 E.Davies,B.Stankovic Relative m
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318 E.Davies,B.Stankovic 1992; Beel
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320 E.Davies,B.Stankovic Hentze MW,
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322 J. Fromm, S. Lautner in the ran
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324 J. Fromm, S. Lautner cells (Sam
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326 J. Fromm, S. Lautner 22.5 Ion C
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328 J. Fromm, S. Lautner hastobedon
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330 J. Fromm, S. Lautner Beilby MJ,
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332 J. Fromm, S. Lautner Williams S
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334 S. Mancuso, S. Mugnai like the
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336 S. Mancuso, S. Mugnai 2,000 nM
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338 S. Mancuso, S. Mugnai the fourt
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340 S. Mancuso, S. Mugnai “slow-w
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342 S. Mancuso, S. Mugnai 23.6 Airb
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344 S. Mancuso, S. Mugnai that tree
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346 S. Mancuso, S. Mugnai Fort C, F
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348 S. Mancuso, S. Mugnai Pophof B,
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24 Electrophysiology and Phototropi
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370 E. Wagner et al. Table 25.1. Fl
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372 E. Wagner et al. Exudation [µl
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374 E. Wagner et al. metabolism at
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376 E. Wagner et al. The circadian
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378 E. Wagner et al. Fig.25.5. Time
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380 E. Wagner et al. Fig.25.7. Patt
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382 E. Wagner et al. Fig.25.9. Time
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