Real-time irrigation scheduling of maize using Degrees Above Non-Stressed (DANS) index in semi-arid environment
نویسندگان
چکیده
Irrigation scheduling methods have been used to determine the timing and amount of water applied crops. Scheduling techniques can include measurement soil content, quantification crop use, monitoring physiological response stress. The aim this study was evaluate performance a simplified canopy temperature (CTM) method as Principles. Soil Water Conservation Engineera technique schedule irrigation for maize. Specifically, Degrees Above Non-Stressed (DANS) index, which suggests stress when exceeds non-stressed (Tcns), determined by estimating Tcns from weather based multilinear regression model. modeled had strong correlation with observed pooled R2 values 0.94 across 2018, 2019, 2020 growing seasons. This DANS index also highly correlated conventionally Crop Stress Index (CWSI) 0.67, 0.59, 0.76 in 2020, respectively. Furthermore, linear relationship depletion above 60% 0.60 m profile an 0.78. CTM compared more commonly namely: moisture (SMM) evapotranspiration modeling (ETM). Grain yield significantly lower than ETM 2018 but not 2019. No significant differences were Productivity (IWP) 2018; however, all treatments different having greatest IWP 2020. For attempting trigger full method, fixed threshold 0.5 °C found be appropriate literature value 1.0 °C, consideration growth stage would further improve scheduling.
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ژورنال
عنوان ژورنال: Agricultural Water Management
سال: 2022
ISSN: ['0378-3774', '1873-2283']
DOI: https://doi.org/10.1016/j.agwat.2022.107957