Modeling Soybean Leaf-Water Potentials Under Nonlimiting Soil Water Conditions1
- C. D. Stanley,
- T. C. Kaspar and
- H. M. Taylor2
Leaf-water potential measurements for plants can be valuable in evaluating plant water status because they integrate effects of crop species, plant age, soil moisture conditions, and atmospheric demand on plant water status. When soil moisture is nonlimiting, atmospheric demand controls leaf-water potential responses. If these responses can be predicted on the basis of key atmospheric demand components, these predictions can be useful in evaluating water-stressed studies.
This study investigated the possibility of using commonly measured meteorological data (solar radiation, air temperature, pan evaporation, relative humidity, and wind speed) to statistically model diurnal leaf-water potential response of soybeans [Glycine max (L.) Merr.] grown under nonlimiting soil moisture conditions. It also evaluated the relative contribution to the models of each of the meteorological parameters measured. Coefficients of determination for regression models for five soybean cultivars ranged from 0.86 to 0.88 when leaf-water potentials were predicted by using solar radiation and air temperature only as input variables. No significant differences were detected among the five cultivars, so a combined overall model was developed. Model verification data were collected from a separate location. These findings provide a tool in irrigation research to test check treatments as true “no stress” treatments.Please view the pdf by using the Full Text (PDF) link under 'View' to the left.
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