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• W2189229574 abstract "Introduction Soil plant available water models that can be user-corrected using simple empirical data have the potential of predicting crop performance with the input of few variables that can be easily obtained or estimated as well as minimizing the prediction error. Soil pores represent the space in which water is reserved in the soil profile. However, the totality of stored water in the soil pores is not available for plant roots. Some of this water is strongly retained by soil particles and roots have little access to it. Therefore, the portion of soil water storage that is susceptible to be extracted by crop roots is called plant available water (PAW) (Veihmeyer and Hendrickson, 1927). Because water is a vital resource for plant growth, crop production is tightly linked to plant available water. However, obtaining daily field measurements is time-consuming and/or costly compared to computer models. A model that accurately predicts PAW is a powerful tool to understand crop performance across different environments and/or different years. Also, the model can be used as a complimentary tool assessing real-time crop performance and post harvest soil plant available water. Simple approaches in modeling plant available water rely on soil, plant, and climatic variables. Using these variables, a variety of models that simulate plant available water have been developed. For instance, a soil-plant-atmosphere water model was developed by Saxton et al (Saxton and Bluhm, 1982; Saxton et al., 1986), and the popular model called Aquacrop was developed by FAO (Steduto et al., 2009). More simple models can be found as the one proposed by Dardanelli et al. (2004), which calculate PAW based on crop-specific lower limits of volumetric water content for each soil depth. Most of the models require soil moisture or PAW to be specified at the start of the simulation period, and the models do not allow for assimilation of subsequent soil moisture data during the simulation period. Therefore, errors can accumulate in the PAW prediction and large deviations from the actual PAW are possible. Consequently, this model satisfies the need for a model that allows users (researchers, students, and consultants) to correct the PAW simulations based on field data collection. The objective of this project was to develop a model that describes plant available water in a single layer soil profile including an option that allows users to correct the model using empirical data." @default.
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• W2189229574 title "Plant Available Water Model with Alignment Option (pawmod2)" @default.
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