Irrigation Zone Delineation and Management with a Field-Scale Variable Rate Irrigation System in Winter Wheat

Author:

Flint Elisa A.1,Hopkins Bryan G.2ORCID,Svedin Jeffery D.3,Kerry Ruth4,Heaton Matthew J.5ORCID,Jensen Ryan R.4,Campbell Colin S.67,Yost Matt A.1,Hansen Neil C.2

Affiliation:

1. Department of Plant Soils Climate, Utah State University, Logan, UT 84322, USA

2. Plant and Wildlife Sciences, Brigham Young University, Provo, UT 84602, USA

3. Soil, Environmental and Atmospheric Sciences, University of Missouri, Columbia, MO 65211, USA

4. Department of Geography, Brigham Young University, Provo, UT 84602, USA

5. Department of Statistics, Brigham Young University, Provo, UT 84602, USA

6. Department of Crop and Soil Sciences, University of Washington, Pullman, WA 98195, USA

7. METER Group, Inc., Pullman, WA 99163, USA

Abstract

Understanding spatial and temporal dynamics of soil water within fields is critical for effective variable rate irrigation (VRI) management. The objectives of this study were to develop VRI zones, manage irrigation rates within VRI zones, and examine temporal differences in soil volumetric water content (VWC) from irrigation events via soil sensors across zones. Five irrigation zones were delineated after two years (2016 and 2017) of yield and evapotranspiration (ET) data collection. Soil sensors were placed within each zone to give real time data of VWC values and assist in irrigation decisions within a 23 ha field of winter wheat (Triticum aestivum ‘UI Magic’) near Grace, Idaho, USA (2019). Cumulative irrigation rates among zones ranged from 236 to 298 mm. Although a statistical comparison could not be made, the irrigation rates were 0.6 to 21% less than an estimated uniform grower standard practice (GSP) irrigation approach. Based on soil sensor data, crop water stress was avoided with VRI management in all but Zone 3. Thus, this simple approach to VRI zone delineation and VWC monitoring has the potential to reduce irrigation, such as this study, on average by 12% and should be evaluated in other site-years to assess its viability.

Funder

United States-Israel Binational Agricultural Research and Development Fund

USDA Western Sustainable Agricultural Research and Education Program

Brigham Young University

Publisher

MDPI AG

Subject

Agronomy and Crop Science

Reference46 articles.

1. Review of Intelligent Sprinkler Irrigation Technologies for Remote Autonomous System;Zhu;Int. J. Agric. Biol. Eng.,2018

2. Drivers of Within-Field Spatial and Temporal Variability of Crop Yield across the US Midwest;Maestrini;Sci. Rep.,2018

3. Svedin, J.D. (2022, December 06). Characterizing the Spatial Variation of Crop Water Productivity for Variable-Rate Irrigation Management, Brigham Young University, Provo. Available online: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7878&context=etd.

4. Svedin, J.D., Hansen, N.C., Kerry, R., and Hopkins, B.G. (2019, January 8–11). Modeling Spatio-Temporal Variations in Crop Water Stress for Variable-Rate Irrigation. Proceedings of the Precision Agriculture ’19—Papers Presented at the 12th European Conference on Precision Agriculture, Montpellier, France.

5. Spatial and Temporal Variability of Soil Water Content in Leveled Fields;Longchamps;Soil Sci. Soc. Am. J.,2015

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