Real-time irrigation scheduling of maize using Degrees Above Non-Stressed (DANS) index in semi-arid environment Article Swipe
Hope Njuki Nakabuye
,
Daran R. Rudnick
,
Kendall C. DeJonge
,
Tsz Him Lo
,
Derek M. Heeren
,
Xin Qiao
,
Trenton E. Franz
,
Abia Katimbo
,
Jiaming Duan
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.agwat.2022.107957
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.agwat.2022.107957
Irrigation scheduling methods have been used to determine the timing and amount of water applied to crops. Scheduling techniques can include measurement of soil water content, quantification of crop water use, and monitoring of crop physiological response to water stress. The aim of this study was to evaluate the performance of a simplified crop canopy temperature measurement (CTM) method as Irrigation Principles. Soil and Water Conservation Engineera technique to schedule irrigation for maize. Specifically, the Degrees Above Non-Stressed (DANS) index, which suggests water stress when canopy temperature exceeds the non-stressed canopy temperature (Tcns), was determined by estimating Tcns from a weather based multilinear regression model. The modeled Tcns had a strong correlation with observed Tcns with a pooled R2 values of 0.94 across the 2018, 2019, and 2020 growing seasons. This DANS index was also highly correlated with the conventionally used Crop Water Stress Index (CWSI) with R2 values of 0.67, 0.59, and 0.76 in 2018, 2019, and 2020, respectively. Furthermore, DANS had a strong linear relationship with soil water depletion above 60% in the 0.60 m soil profile with an R2 of 0.78. The CTM method was also compared to more commonly used scheduling methods namely: soil moisture monitoring (SMM) and crop evapotranspiration modeling (ETM). Grain yield was significantly lower for the CTM method than for the ETM method in 2018 and 2020 but not in 2019. No significant differences were observed in Irrigation Water Productivity (IWP) in 2018; however, all treatments were significantly different with the CTM method having the greatest IWP in 2020. For attempting to trigger full irrigation with the CTM method, a fixed DANS threshold of 0.5 °C was found to be more appropriate than the literature value of 1.0 °C, but consideration of crop growth stage would further improve scheduling.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.agwat.2022.107957
- OA Status
- hybrid
- Cited By
- 11
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4297309770
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4297309770Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.agwat.2022.107957Digital Object Identifier
- Title
-
Real-time irrigation scheduling of maize using Degrees Above Non-Stressed (DANS) index in semi-arid environmentWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-09-26Full publication date if available
- Authors
-
Hope Njuki Nakabuye, Daran R. Rudnick, Kendall C. DeJonge, Tsz Him Lo, Derek M. Heeren, Xin Qiao, Trenton E. Franz, Abia Katimbo, Jiaming DuanList of authors in order
- Landing page
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https://doi.org/10.1016/j.agwat.2022.107957Publisher landing page
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.agwat.2022.107957Direct OA link when available
- Concepts
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Irrigation scheduling, Evapotranspiration, Environmental science, Irrigation, Canopy, Crop coefficient, Water content, Soil water, Hydrology (agriculture), Moisture stress, Water use, Growing season, Arid, Soil science, Agronomy, Ecology, Geology, Geotechnical engineering, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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11Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 5, 2023: 5Per-year citation counts (last 5 years)
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48Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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