TY - JOUR
T1 - Quantifying effects of irrigation and soil water content on electrical potentials in grapevines (Vitis vinifera) using multivariate statistical methods
AU - Gil, Pilar M.
AU - Saavedra, Jorge
AU - Schaffer, Bruce
AU - Navarro, Rosa
AU - Fuentealba, Claudia
AU - Minoletti, Felipe
N1 - Funding Information:
We thank FONDECYT (Project number 11100384, CONICYT, Government of Chile) for funding this research. We also thank Mr. Jorge Pérez for assistance with data collection.
PY - 2014/6/27
Y1 - 2014/6/27
N2 - Several studies have shown that physiological responses in plants, including fruit crops, are associated with changes in electrical potentials (EP), but it is often difficult to statistically quantify these responses. This study tested the effects of irrigation on EP in grapevines (Vitis vinifera), taking into account vapor pressure deficit (VPD) and position of electrodes along the stem by using multivariate analytical methods and a suite of statistical pretreatments. In two separate experiments, plants were exposed to one of two irrigation treatments in a greenhouse: (T1) irrigation once per day (Experiment 1), or no irrigation (Experiment 2); or (T2) irrigation three times or twice per day (Experiments 1 and 2, respectively). In each experiment, EP at three positions along the stem, soil (potting medium) water content, and VPD were continuously measured. In Experiment 2, stomatal conductance (gs) and stem water potential (SWP) were also measured for plants in each irrigation treatment as indicators of plant water status. Data were analyzed by Principal Component Analysis (PCA) to determine the effects of irrigation treatment on EP and difference in EP between pairs of electrodes (δEP) at various locations along the stem. Data were also analyzed by partial least squares (PLS) analysis to determine if EP or δEP could be used as predictors of changes in soil water content due to different irrigation treatments. Significant differences in soil water content due to irrigation treatments could be readily detected by difference in EP or δEP using PCA with Orthogonal Signal Correction pre-processing. Also, PLS showed that differences in soil moisture can be predicted by EP and/or δEP measurements at specific locations along the stem. Thus, the use of multivariate statistical methods was effective for relating EP and δEP measurements in grapevines to soil moisture due to differences in irrigation.
AB - Several studies have shown that physiological responses in plants, including fruit crops, are associated with changes in electrical potentials (EP), but it is often difficult to statistically quantify these responses. This study tested the effects of irrigation on EP in grapevines (Vitis vinifera), taking into account vapor pressure deficit (VPD) and position of electrodes along the stem by using multivariate analytical methods and a suite of statistical pretreatments. In two separate experiments, plants were exposed to one of two irrigation treatments in a greenhouse: (T1) irrigation once per day (Experiment 1), or no irrigation (Experiment 2); or (T2) irrigation three times or twice per day (Experiments 1 and 2, respectively). In each experiment, EP at three positions along the stem, soil (potting medium) water content, and VPD were continuously measured. In Experiment 2, stomatal conductance (gs) and stem water potential (SWP) were also measured for plants in each irrigation treatment as indicators of plant water status. Data were analyzed by Principal Component Analysis (PCA) to determine the effects of irrigation treatment on EP and difference in EP between pairs of electrodes (δEP) at various locations along the stem. Data were also analyzed by partial least squares (PLS) analysis to determine if EP or δEP could be used as predictors of changes in soil water content due to different irrigation treatments. Significant differences in soil water content due to irrigation treatments could be readily detected by difference in EP or δEP using PCA with Orthogonal Signal Correction pre-processing. Also, PLS showed that differences in soil moisture can be predicted by EP and/or δEP measurements at specific locations along the stem. Thus, the use of multivariate statistical methods was effective for relating EP and δEP measurements in grapevines to soil moisture due to differences in irrigation.
KW - Multivariate analysis
KW - Plant electrophysiology
KW - Variation potentials
KW - Water stress
UR - http://www.scopus.com/inward/record.url?scp=84900993081&partnerID=8YFLogxK
U2 - 10.1016/j.scienta.2014.04.014
DO - 10.1016/j.scienta.2014.04.014
M3 - Article
AN - SCOPUS:84900993081
SN - 0304-4238
VL - 173
SP - 71
EP - 78
JO - Scientia Horticulturae
JF - Scientia Horticulturae
ER -