Variations in soil-water use by grapevine according to plant water status and soil physical-chemical characteristics—A 3D spatio-temporal analysis
暂无分享,去创建一个
Jean Lévêque | Luca Brillante | Benjamin Bois | Olivier Mathieu | O. Mathieu | B. Bois | Luca Brillante | J. Lévêque
[1] René Morlat,et al. Characterization of Viticultural Terroirs using a Simple Field Model Based on Soil Depth I. Validation of the Water Supply Regime, Phenology and Vine Vigour, in the Anjou Vineyard (France) , 2006, Plant and Soil.
[2] P. Vivin,et al. Comparison of Three Operational Tools for the Assessment of Vine Water Status: Stem Water Potential , Carbon Isotope Discrimination Measured on Grape Sugar and Water Balance , 2010 .
[3] D. Smart,et al. Root foraging in response to heterogeneous soil moisture in two grapevines that differ in potential growth rate. , 2008, The New phytologist.
[4] D. Smart,et al. Transverse hydraulic redistribution by a grapevine , 2005 .
[5] R. Morlat,et al. Grapevine Root System and Soil Characteristics in a Vineyard Maintained Long-term with or without Interrow Sward , 2003, American Journal of Enology and Viticulture.
[6] Hadley Wickham,et al. Visualizing Complex Data With Embedded Plots , 2015 .
[7] Eric Lebon,et al. A model-based diagnosis tool to evaluate the water stress experienced by grapevine in field sites , 2006 .
[8] Jan Vanderborght,et al. Evaluating Experimental Design of ERT for Soil Moisture Monitoring in Contour Hedgerow Intercropping Systems , 2012 .
[9] William J. Davies,et al. Root Signals and the Regulation of Growth and Development of Plants in Drying Soil , 1991 .
[10] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[11] Z. Cardon,et al. The magnitude of hydraulic redistribution by plant roots: a review and synthesis of empirical and modeling studies. , 2012, The New phytologist.
[12] B. Klepper,et al. Diurnal pattern of water potential in woody plants. , 1968, Plant physiology.
[13] D. Intrigliolo,et al. Continuous measurement of plant and soil water status for irrigation scheduling in plum , 2004, Irrigation Science.
[14] Eric A. Davidson,et al. Carbon Inputs and Water Uptake in Deep Soils of an Eastern Amazon Forest , 2011, Forest Science.
[15] Mathieu Javaux,et al. Three-dimensional monitoring of soil water content in a maize field using Electrical Resistivity Tomography , 2012 .
[16] H. Jones. Monitoring plant and soil water status: established and novel methods revisited and their relevance to studies of drought tolerance. , 2006, Journal of experimental botany.
[17] Joe T. Ritchie,et al. Water dynamics in the soil-plant-atmosphere system , 1981, Plant and Soil.
[18] M. Loke. Tutorial : 2-D and 3-D electrical imaging surveys , 2001 .
[19] David Russo,et al. Soil Hydraulic Properties as Stochastic Processes: I. An Analysis of Field Spatial Variability , 1981 .
[20] C. van Leeuwen,et al. The concept of terroir in viticulture , 2006 .
[21] N. Holbrook,et al. Daily transpiration rates of woody species on drying soil. , 2005, Tree physiology.
[22] Robert B Jackson,et al. Geophysical subsurface imaging for ecological applications. , 2014, The New phytologist.
[23] Abraham Blum,et al. Plant Water Relations, Plant Stress and Plant Production , 2011 .
[24] L. A. Richards,et al. Change of Electrical Conductivity With Temperature and the Relation of Osmotic Pressure to Electrical Conductivity and Ion Concentration for Soil Extracts , 1949 .
[25] Jean Lévêque,et al. The use of soil electrical resistivity to monitor plant and soil water relationships in vineyards. , 2014 .
[26] G. Richard,et al. Electrical resistivity survey in soil science: a review . , 2005 .
[27] Cornelis van Leeuwen,et al. Stem Water Potential is a Sensitive Indicator of Grapevine Water Status , 2001 .
[28] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[29] S. Garré,et al. Noninvasive Monitoring of Soil Water Dynamics in Mixed Cropping Systems: A Case Study in Ratchaburi Province, Thailand , 2013 .
[30] Dianne Cook,et al. Glyph‐maps for visually exploring temporal patterns in climate data and models , 2012 .
[31] Sylvia Dayau,et al. Significance and limits in the use of predawn leaf water potential for tree irrigation , 1999, Plant and Soil.
[32] H. Jones. Irrigation scheduling: advantages and pitfalls of plant-based methods. , 2004, Journal of experimental botany.
[33] S. A. Hagrey. Geophysical imaging of root-zone, trunk, and moisture heterogeneity , 2007 .
[34] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[35] D. Bates,et al. Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.
[36] J. Richards,et al. Predawn plant water potential does not necessarily equilibrate with soil water potential under well-watered conditions , 2001, Oecologia.
[37] Giovanni Bitella,et al. Electrical resistivity tomography as a non‐destructive method for mapping root biomass in an orchard , 2011 .
[38] O. Mathieu,et al. Electrical imaging of soil water availability to grapevine: a benchmark experiment of several machine-learning techniques , 2016, Precision Agriculture.
[39] Gianfranco Morelli,et al. In situ detection of tree root distribution and biomass by multi-electrode resistivity imaging. , 2008, Tree physiology.
[40] Jaume Flexas,et al. Drought-induced changes in development and function of grapevine (Vitis spp.) organs and in their hydraulic and non-hydraulic interactions at the whole-plant level: a physiological and molecular update , 2010 .
[41] A. Pellegrino,et al. Relationships between plant and soil water status in vine (Vitis vinifera L.) , 2005, Plant and Soil.
[42] C. Doussan,et al. Estimation of the spatial variability of root water uptake of maize and sorghum at the field scale by electrical resistivity tomography , 2009, Plant and Soil.
[43] F. Pugnaire,et al. Water release through plant roots: new insights into its consequences at the plant and ecosystem level. , 2012, The New phytologist.
[44] Vincent Dumas,et al. Modelling the seasonal dynamics of the soil water balance of vineyards. , 2003, Functional plant biology : FPB.
[45] Isabelle Cousin,et al. The spatial and temporal organization of soil water at the field scale as described by electrical resistivity measurements , 2010 .
[46] C. van Leeuwen,et al. Rootstock control of scion transpiration and its acclimation to water deficit are controlled by different genes. , 2012, The New phytologist.
[47] B. Nicoullaud,et al. Spatial and temporal monitoring of soil water content with an irrigated corn crop cover using surface electrical resistivity tomography , 2003 .
[48] Manuel J. A. Eugster,et al. Benchmark experiments: a tool for analyzing statistical learning algorithms , 2011 .
[49] M. Andersen,et al. Stomatal control and water use efficiency of soybean (Glycine max L. Merr.) during progressive soil drying , 2005 .
[50] Jean Lévêque,et al. Monitoring soil volume wetness in heterogeneous soils by electrical resistivity. A field-based pedotransfer function , 2014 .