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Challenges in imaging and predictive modeling of rhizospher..:
Roose, T.
;
Keyes, S. D.
;
Daly, K. R.
...
Plant and Soil. 407 (2016) 1/2 - p. 9-38 , 2016
Link:
http://www.jstor.org/stable/44136907
RT Journal T1
Challenges in imaging and predictive modeling of rhizosphere processes
UL https://suche.suub.uni-bremen.de/peid=jstor-44136907&Exemplar=1&LAN=DE A1 Roose, T. A1 Keyes, S. D. A1 Daly, K. R. A1 Carminati, A. A1 Otten, W. A1 Vetterlein, D. A1 Peth, S. PB Springer YR 2016 SN 0032-079X SN 1573-5036 K1 Applied sciences K1 Imaging K1 Biological sciences K1 Ecology K1 Population ecology K1 Synecology K1 Habitats K1 Microhabitats K1 Rhizosphere K1 Biology K1 Botany K1 Plant morphology K1 Plant vegetation K1 Plant roots K1 Materials science K1 Materials K1 Porous materials K1 Agriculture K1 Agricultural sciences K1 Agronomy K1 Soil science K1 Pedology K1 Soil composition K1 Soil organic matter K1 Soil water K1 Soils K1 Organic soils K1 Edaphology K1 Soil ecology K1 Soil characteristics K1 Soil structure K1 Soil pore systems K1 Physical sciences K1 Physics K1 Microphysics K1 Particle physics K1 Subatomic particles K1 Fermions K1 Baryons K1 Neutrons K1 Sand soils JF Plant and Soil VO 407 IS 1/2 SP 9 OP 38 LK http://www.jstor.org/stable/44136907 DO http://www.jstor.org/stable/44136907 SF ELIB - SuUB Bremen
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