2014
DOI: 10.1016/j.agwat.2014.03.009
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Crop response functions integrating water, nitrogen, and salinity

Abstract: Process-based simulation models are used to generate seasonal crop yield and nitrate leaching datasets for several important crops. The simulated data is then used to estimate novel three-input crop response functions that account for the effects of interactions and feedback mechanisms in the whole plantwater-nitrogen-salinity system. Comparisons with available field data show that this appears to be a reliable approach for estimating analytical crop response functions with water, nitrogen, and salinity as inp… Show more

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Cited by 20 publications
(11 citation statements)
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“…However, under semi‐arid climates, plant growth can be limited by different abiotic factors acting simultaneously, such as nitrogen deficiency, drought and salinity. In such cases, plants respond to interaction and feedback mechanisms between these factors (Wang and Baerenklau ). Thus, manipulating a single factor usually is not the solution considering that plants respond primarily to the most yield‐limiting factor (Semiz et al.…”
Section: Discussionmentioning
confidence: 99%
“…However, under semi‐arid climates, plant growth can be limited by different abiotic factors acting simultaneously, such as nitrogen deficiency, drought and salinity. In such cases, plants respond to interaction and feedback mechanisms between these factors (Wang and Baerenklau ). Thus, manipulating a single factor usually is not the solution considering that plants respond primarily to the most yield‐limiting factor (Semiz et al.…”
Section: Discussionmentioning
confidence: 99%
“…We adapt the GME approach suggested by Kaplan et al (2003), which is incorporated into a specific theoretical structure describing both crop production technology and nature's nitrate residual mechanism based on the multiple production relations model developed by Murty et al (2012). The model assumes a specific parametric structure of both technologies using an extensive soil science literature and the model suggested by Knapp and Schwabe (2008) and Wang and Baerenklau (2014). Using this complex modeling structure, we are able to convert the NPS pollution problem into a PS one approximating individual nitrate leaching levels among 257 greenhouse farms from the Ierapetra Valley in Southern Crete, Greece.…”
Section: Discussionmentioning
confidence: 99%
“…As mentioned above, our approach for developing crop‐water production functions is based on a combination of the approaches found in Kan et al . [] and Wang and Baerenklau []. Kan et al .…”
Section: Methodsmentioning
confidence: 99%
“…[], estimate yield as a function of evapotranspiration, and evapotranspiration as a function of applied water, controlling for salinity. Wang and Baerenklau [], meanwhile, use HYDRUS‐1D to estimate relative yield (ratio of actual yield to potential yield) as a function of water and nitrogen uptake. We extend Wang and Baerenklau [] by accounting for evaporation and precipitation, and by using a modified version of HYDRUS‐1D that calculates instantaneous yield reduction by comparing water and nitrogen uptake throughout the growing season instead of only at the end.…”
Section: Methodsmentioning
confidence: 99%