Determines the coordinates of the turgor loss point, osmotic potential at full hydration and apoplastic fraction
OsmoticPot(data, sample = "sample",
water.potential = "water.potential", RWD = "RWD", graph = TRUE,
show.legend = TRUE)
data frame containing columns of equal lengths giving the numerical coordinates of the curve: water potential (bar) and RWD (%), ordered by sample by descending water potential. A column containing the sample IDs is optionally required if several samples were measured.
optional column name in data containing the sample ID, default: "sample"
optional column name in data containing the numeric water potential values (bar), default: "water.potential"
optional column name in data containing the relative water deficit values (%), default: "RWD"
set FALSE if no plots are to be returned
set FALSE if no legend is to be shown in the plots
List splitted by sample consisting of
x and y coordinates of the turgor loss point (RWD (%) and water.potential (bar), respectively)
x and y intercepts of the osmotic potential fit (apoplasic fraction (apo.fract) (%) and op.full.sat (bar), respectively)
formula of the linear osmotic potential fit
coefficients of the linear model
upper (97.5 %) and lower (2.5 %) border of 95 % confidence interval of model parameters
RWD at turgor loss point is derived by the function TurgorLossPoint(). The pressure-volume curve data is converted to -1/bar. The osmotic potential is then derived by fitting a linear regression line with the Gauss-Newton algorithm of nls() to the water potential data following the turgor loss point. The y- and x-axis intercept of the regression line gives the osmotic potential at full hydration (op.full.sat) and the apoplastic fraction (apo.fract), respectively. Water potential at turgor loss point equals the value of the osmotic potential fit at the relative water deficit at turgor loss point.
# NOT RUN {
# get example data, calculate Relative Water Deficit
data <- RelativeWaterDeficit(pressure_volume_data)
# calculate pressure volume curve characteristics and plot graphs
pv_analysis <- OsmoticPot(data)
# }
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