Enhancing Agricultural Water Management Through Soil Moisture Monitoring and Irrigation Scheduling

Size: px
Start display at page:

Download "Enhancing Agricultural Water Management Through Soil Moisture Monitoring and Irrigation Scheduling"

Transcription

1 Enhancing Agricultural Water Management Through Soil Moisture Monitoring and Irrigation Scheduling Mary Love Tagert, J. Caleb Rawson, Anna Linhoss, Gretchen Sassenrath*, and Billy Kingery Mississippi State University and *Kansas State University 2015 Mississippi Water Resources Conference April 8, 2015

2 Background: Mississippi Delta Increasing reliance on irrigation and expansion Pumpage exceeds annual recharge - interior county water levels are dropping by a foot a year (ymd.org, 2014) Overdraft Mississippi River Valley alluvial aquifer (MRVA). Decreasing water availability Higher costs associate with pumping Heightened environmental concerns and scrutiny on agricultural water diversion

3 Background: Water Management Irrigation is a necessity Rainfall untimely and spatially variable (annual >50 ) Periodic summer drought Water retention canals and holding ponds Costly to install Can take farm land out of production Maintenance issues Pipe Hole and Universal Crown Evaluation Tool (PHAUCET) or Delta Plastic Pipe Planner Calculates pipe pressure and flow rates for each furrow (hole size)

4 Background: Mississippi Irrigation Scheduling Tool (MIST) MIST development began in 2011, with ongoing improvements. ET calculated through the Modified Penman-Montieth equation with climate data from over 19 weather stations located within the Delta and precipitation data from Nexrad (Allen et. al., 1998; Addresses the humid region s unpredictable precipitation through incorporation of Nexrad data and Runoff calculation (Vories, 2005). Grower input is minimized through the use of automated data use. MIST is available through a web-based interface.

5 Research Objectives Objective One: Collect 2014 soil and soil moisture data. Objective Two: Improve runoff estimation and soil water balance, especially for high-rainfall events.

6 Materials and Methods Data Collection May 2014 biweekly/weekly Setup and installation. Watermark Sensor Setup Tools Fabrication. Southern Loop Satartia Redgum Northern Loop Jonestown Dublin Sunnyside

7 Materials and Methods Conversion and Evaluation of Soil Moisture Data Evaluate previously collected data Conversion of soil moisture data Determination of data needs for application and testing Precipitation Data Incorporation of Nexrad into the spreadsheet version of the MIST model Method of Nexrad data collection dependent on ease of accessibility

8 Materials and Methods Irrometer, Inc., Riverside, CA Watermark 200SS Electrodes within a Granular Matrix Resistance centibars Model-900 datalogger 8 sensor connections

9 Materials and Methods: Sensor Setup Programing Data Loggers ABE Shop May 25, 2014 Complete Sensor Cycling before installation. Two complete saturation and drying cycles before installation.

10 Materials and Methods: Field Setup Two sets per field 6 sensors from 6-36 Datalogger F u r r o w

11 Materials and Methods: Installation and Collection Sunnyside and Jonestown site May 21, 2014

12 MLT2 Materials and Methods Soil Moisture Release Curves are needed to convert pressure data from sensors to inches of water for comparison to model. In 2011, composite 12-inch samples from several sites were analyzed by Decagon Devices, Inc. Model considers: Soil Type Soil Runoff Potential (hydrologic soil group) Average Available Water Capacity (AWC)

13 Slide 12 MLT2 Define? Mary Love Tagert, 4/6/2015

14 MIST Modeled Field Water Balance for Three Separate Soils at Redgum 2012 Soybean Pivot Water in. (Inches) WB MIST Da WB MIST Fd WB MIST Ac /21/12 5/11/12 5/31/12 6/20/12 7/10/12 7/30/12 8/19/12 9/8/12 Date Water Balance (WB), Forestdale Silty Clay Loam (Fd).18, Dowling Clay (Da).12, Alligator Clay (Ac).11. /Users/johnrawson/Documents/School/MIST/Graphs_Data/Calibration-Input-vs-Output_Current.xlsx

15 Materials and Methods: Data Conversion [1] cbar = 1 cmh 2 O [2] pf = Log 10 W P [3] H 2 O in./ft. Soil = W C *(12in./ft.) Centibar (cbar) Water Potential (W P ) cmh 2 O Soil Moisture Tension (pf) unit less pf value is logarithm of the absolute value of soil matric potential Werner, H. (1992). Measuring soil moisture for irrigation water management. Cooperative Extension Service, South Dakota State University, US Department of Agriculture.

16 Materials and Methods: Soil Moisture Release Curves /Users/johnrawson/Documents/School/MIST/Soil Data/2014 Soil Tests/Redgum 6 in

17 Materials and Methods: Depth-Specific SMRCs Test Site Soil Series Horizon (a) Depths Site Jonestown Redgum Soil Series Bosket Forestdale Horizons and Depth Ap inches AB inches Bt inches Ap inches Btg inches Btg inches (a) Horizon separate soil layers by obvious physical features, chiefly color and texture. Texture affects soil physical properties: Infiltration rates, Water holding Capacity, and Average Available Water Content. /Users/johnrawson/Documents/School/MIST/Soil Data/2014 Bulk Density Worksheets

18 Materials and Methods: Soil Sampling 2014 Depth Specific Curves Six samples per calibration site (6-36 ) Redgum Jonestown Decagon Devices, Inc. >250 cm 3 soil per sample Bulk Density of each sample

19 Results Table 2. Test Bulk Density for Model Application and Testing Sites Depth Jonestown Bosket Series Field Bulk Density NRCS (a) Soil Data Bulk Density Depth Redgum Forestdale Series Field Bulk Density NRCS (a) Soil Data Bulk Density 6 inch (0-9in.) 6 inch (0-6in.) 12 inch inch inch (9-25in.) 18 inch (6-26in.) 24 inch inch inch (25-30 inch (26-36 inch in.) 36 inch in.) (a) Natural Resource Conservation Service NRCS Soil Data available at: soilseries.sc.egov.usda.gov /Users/johnrawson/Documents/School/MIST/Soil Data/2014 Bulk Density Worksheets.xlsx

20 Pressure (cbar) Pressure (cbar) Comparison of Sensor Field Water Balances for Data Loggers A&B at 2012 Redgum Soybean Pivot and Jonestown Corn Furrow R 2 = /11/12 5/31/12 6/20/12 7/10/12 7/30/12 8/19/12 9/8/12 Date 200 R 2 = /11/12 5/31/12 6/20/12 7/10/12 7/30/12 8/19/12 Date /Users/johnrawson/Documents/School/MIST/Graphs_Data/Nash-Sutcliffe box comparison.xlsx Redgum Forestdale Silty Clay Loam Box A Box B Jonestown Bosket Very Fine Sandy Loam Box A Box B

21 Redgum Sensor Water Balances for Data Loggers A&B Calculated from Composite 12-inch and Depth-Specific SMRCs 25 Water in. (Inches) Forestdale Silty Clay Loam DSC BoxA DSC BoxB C12 BoxA C12 BoxB 0 5/21/12 6/15/12 7/10/12 8/4/12 8/29/12 Date /Users/johnrawson/Documents/School/MIST/Graphs_Data/2012_Calibration_Watermark_Conversions_with_updated_SWRC_Current.xlsx

22 Jonestown Sensor Water Balances for Data Loggers A&B Calculated from Composite 12-inch and Depth-Specific SMRCs Bosket Very Fine Sandy Loam Water in. (Inches) DSC BoxA DSC BoxB C12 BoxA C12 BoxB 0 5/21/12 6/5/12 6/20/12 7/5/12 7/20/12 8/4/12 8/19/12 Date /Users/johnrawson/Documents/School/MIST/Graphs_Data/2012_Calibration_Watermark_Conversions_with_updated_SWRC_Current.xlsx

23 Water in. (Inches) Water in. (Inches) Jonestown and Redgum Sensor Water Balances for Data Loggers A&B Calculated from Composite 36-inch and Depth-Specific SMRCs /21/12 6/15/12 7/10/12 8/4/12 8/29/12 9/23/12 Date BoxB R 2 = BoxA R 2 = BoxA R 2 = BoxB R 2 = /21/12 6/15/12 7/10/12 8/4/12 8/29/12 Date Forestdale Silty Clay Loam DSC BoxA DSC BoxB C36 BoxA C36 BoxB Bosket Very Fine Sandy Loam DSC BoxA DSC BoxB C36 BoxA C36 BoxB /Users/johnrawson/Documents/School/MIST/Graphs_Data/2012_Calibration_Watermark_Conversions_with_updated_SWRC_Current.xlsx

24 Composite 12-inch, Depth-Specific, and MIST Calculated Water Balance Inputs for Jonestown 2012 Corn Furrow with Nexrad Precipitation Water (in.) Water (in.) (a) R 2 = /11/12 5/26/12 6/10/12 6/25/12 7/10/12 7/25/12 8/9/12 8/24/ Date (a) R 2 = /11/12 5/26/12 6/10/12 6/25/12 7/10/12 7/25/12 8/9/12 8/24/12 Date (a) Assuming three remaining spikes are irrigation events /Users/johnrawson/Documents/School/MIST/Graphs_Data/Nash-Sutcliff Box Comparisons_Old_SMRC.xlsx /Users/johnrawson/Documents/School/MIST/Graphs_Data/Calibration-Input-vs-Output_Current.xlsx Bosket Very Fine Sandy Loam C12 Inputs MIST Inputs Nexrad 2012 Bosket Very Fine Sandy Loam MIST Inputs Nexrad 2012 DSC Inputs

25 Conclusions Value of MIST to address water irrigation use efficiency for Mississippi s humid climate and soil spatial variability conditions found in the region Model s use of NRCS Runoff Coefficient applies to a larger range of field soil types Nexrad increases reliability of rainfall measurements Use of Penman-Monteith equation for ET calculated with data from Delta weather stations. MIST modeled water balance inputs for soil conditions that were able to be fully evaluated Hypothetical R 2 = assuming irrigation events 0.28 in. un-model runoff possible result rainfall distribution or increased bulk density from soil compaction Water balance losses appear be isolated to crop water use Soil Sampling / Soil Moisture Release Curves Composite 36-inch soil samples collected in the same manner should provide accurate SMRCs for the profile Jonestown R 2 = 0.98 for Box A and Box B, each Redgum R 2 = 0.99 for Box A and 0.96 for Box B

26 Future Work Participating Grower Irrigation Data Alternate Runoff Coefficients or manual adjustments for field soil compaction Change in sensor arrangements for high clay soils Removal of PVC Horizontal Installation for 6, 12, and 18-inches Crop Coefficients

27 Acknowledgements MS Soybean Promotion Board MS Corn Promotion Board Yazoo Mississippi Delta Join Water Management District and Dave Kelly Mr. Turner Massey Mr. Darrington and Mr. Byron Seward Mr. Roosevelt Lee Mr. Billy Walker Mr. John Michael Pillow

Corn and Soybean Irrigation Guidelines

Corn and Soybean Irrigation Guidelines mississippi-crops.com http://www.mississippi-crops.com/2016/05/27/corn-and-soybean-irrigation-guidelines/ Corn and Soybean Irrigation Guidelines By Jason Krutz and Dan Roach As we traveled through Tunica

More information

Crop Water Use Program for Irrigation

Crop Water Use Program for Irrigation Crop Water Use Program for Irrigation Divisions of Plant Sciences, Applied Social Sciences, Food Sciences and Bioengineering, and Soil, Environmental, and Atmospheric Sciences Water is an important factor

More information

Tools for Improving Irrigation Management. Michael Cahn Irrigation and Water Resources Advisor University of California, Cooperative, Monterey Co

Tools for Improving Irrigation Management. Michael Cahn Irrigation and Water Resources Advisor University of California, Cooperative, Monterey Co Tools for Improving Irrigation Management Michael Cahn Irrigation and Water Resources Advisor University of California, Cooperative, Monterey Co Nitrogen fertilizer and irrigation interactions (ppm) Nitrate-N

More information

Tools for Improving Irrigation Management of Vegetables

Tools for Improving Irrigation Management of Vegetables Tools for Improving Irrigation Management of Vegetables Michael Cahn Irrigation and Water Resources Advisor University of California, Cooperative, Monterey Co Nitrate is part of the Agricultural Discharge

More information

Water Resource Management in the Mississippi Delta

Water Resource Management in the Mississippi Delta Water Resource Management in the Mississippi Delta Dave Kelly Water Resource Specialist Yazoo Mississippi Delta Joint Water Management District Stoneville, Mississippi Mississippi River Valley Alluvial

More information

MISSISSIPPI SOYBEAN PROMOTION BOARD PROJECT NO (YEAR 3) FINAL REPORT

MISSISSIPPI SOYBEAN PROMOTION BOARD PROJECT NO (YEAR 3) FINAL REPORT MISSISSIPPI SOYBEAN PROMOTION BOARD PROJECT NO. 52-2014 (YEAR 3) FINAL REPORT Title: Identifying Irrigation Scheduling Tools that Maintain Soybean Yield and Improve Soybean Irrigation Water Use Efficiency

More information

Drought Adaptation Option: Soil moisture monitoring José Payero, Ahmad Khalilian, and Rebecca Davis: Clemson University

Drought Adaptation Option: Soil moisture monitoring José Payero, Ahmad Khalilian, and Rebecca Davis: Clemson University Drought Adaptation Option: Soil moisture monitoring José Payero, Ahmad Khalilian, and Rebecca Davis: Clemson University What are the benefits of monitoring soil moisture? Local climate, as reflected by

More information

Purpose and Introduction:

Purpose and Introduction: Comparison of Crop Water Consumptive Use of,, and Jenny Rees, UNL Extension and Daryl Andersen, Little Blue Natural Resources District Purpose and Introduction: The purpose of this study is to compare

More information

Two on farm irrigation water management of corn demonstrations were conducted in Colorado County in 2011 with:

Two on farm irrigation water management of corn demonstrations were conducted in Colorado County in 2011 with: Corn Irrigation Water Management Using ET and Soil Moisture Sensors Texas AgriLife Extension Service Colorado County, 2011 Cooperators: Mahalitc Brothers Farms, Fitz Leopold Charles Swanson, Extension

More information

Irrigation Scheduling: Checkbook Method

Irrigation Scheduling: Checkbook Method Know how. Know now. EC709 Irrigation Scheduling: Checkbook Method Steven R. Melvin, Extension Educator C. Dean Yonts, Extension Irrigation Specialist Irrigation scheduling helps determine when and how

More information

Placement and Interpretation of Soil Moisture Sensors for Irrigated Cotton Production in Humid Regions SITE SELECTION IN A FIELD OBJECTIVE

Placement and Interpretation of Soil Moisture Sensors for Irrigated Cotton Production in Humid Regions SITE SELECTION IN A FIELD OBJECTIVE Brian Leib, University of Tennessee Jose Payero, Clemson University Lyle Pringle, Mississippi State University James Bordovsky, Texas A&M University Wesley Porter, University of Georgia Ed Barnes, Cotton

More information

Evaluation of Soil Moisture Sensors

Evaluation of Soil Moisture Sensors Evaluation of Soil Moisture Sensors Ruixiu Sui USDA-ARS Crop Production Systems Research Unit, Stoneville, MS Horace C. Pringle III Delta Research and Extension Center, Mississippi State University, Stoneville,

More information

Economics of Irrigation Ending Date for Corn 1

Economics of Irrigation Ending Date for Corn 1 Economics of Irrigation Ending Date for Corn 1 Summary Mahbub Alam 2, Troy J. Dumler, Danny H. Rogers, and Kent Shaw Professor and Extension Specialist, Extension Agricultural Economist, SW Research- Extension

More information

One of the most important tools we have

One of the most important tools we have SUSTAINABLE AGRICULTURE TECHNIQUES EM 8900 November 2005 $1.50 Irrigation Monitoring Using Soil Water Tension C.C. Shock, R. Flock, E. Feibert, C.A. Shock, A. Pereira, and L. Jensen Malheur Experiment

More information

Irrigation Management

Irrigation Management Irrigation Management Loren Oki UC Davis Irrigation Management Efficiency and Water Conservation in Nurseries November 17, 2014 Modesto, CA Technology and Soil Moisture Sensors Photo: L. Oki Topics Soil

More information

Soil-Moisture Monitoring

Soil-Moisture Monitoring Soil-Moisture Monitoring A Simple Method to Improve Alfalfa and Pasture Management Steve Orloff, Blaine Hanson & Dan Putnam Introduction water is essential for profitable crop production in most of the

More information

Monitoring soil moisture helps refine irrigation management

Monitoring soil moisture helps refine irrigation management Enviroscan soil moisture sensors like the one shown, that monitor on a continuous basis, provide more information that can be valuable. Monitoring soil moisture helps refine irrigation management Blaine

More information

The Irrigator. March 2018 (707) Vaca Valley Parkway, Suite 201 Vacaville, CA Upcoming Irrigation Efficiency Workshop

The Irrigator. March 2018 (707) Vaca Valley Parkway, Suite 201 Vacaville, CA Upcoming Irrigation Efficiency Workshop The Irrigator A crop water use information project of Solano Irrigation District, Reclamation District 2068, Maine Prairie Water District, Solano County Water Agency, Natural Resources Conservation Service,

More information

Texture Definition: relative proportions of various sizes of individual soil particles USDA classifications Sand: mm Silt:

Texture Definition: relative proportions of various sizes of individual soil particles USDA classifications Sand: mm Silt: Texture Definition: relative proportions of various sizes of individual soil particles USDA classifications Sand: 0.05 2.0 mm Silt: 0.002-0.05 mm Clay:

More information

Successful Onion Irrigation Scheduling

Successful Onion Irrigation Scheduling Information is out of date. For current information, see the OSU Extension Catalog:https://catalog.extension.oregonstate.edu SR 197 September 21 Successful Onion Irrigation Scheduling Photo: Clint Shock

More information

EM 8713 Reprinted May 2000 $5.50. Western Oregon Irrigation Guides

EM 8713 Reprinted May 2000 $5.50. Western Oregon Irrigation Guides EM 8713 Reprinted May 2000 $5.50 Western Oregon Irrigation Guides Contents Foreword...1 Why should I use these guides?...2 Limitations of these guides...2 Important data for irrigation scheduling...3 Soils...

More information

Irrigation Scheduling for Urban and Small Farms

Irrigation Scheduling for Urban and Small Farms Irrigation Scheduling for Urban and Small Farms Urban and Small Farm Workshop February 18, 2015 Presentation by L. Niel Allen Extension Irrigation Engineer n.allen@usu.edu http://extension.usu.edu/irrigation/

More information

Issue paper: Aquifer Water Balance

Issue paper: Aquifer Water Balance Issue paper: Aquifer Water Balance 1. Introduction And Background 1.1. Purpose and Scope The population in Kitsap County has grown rapidly in recent years and is expected to increase substantially in the

More information

Introduction. Materials and Methods

Introduction. Materials and Methods A CMPARISN F SIL WATER PTENTIAL AND SIL WATER CNTENT SENSRS Clint Shock, Ali Akin, Levent Unlenen, Erik Feibert, Kendra Nelson, and Autumn Tchida Malheur Experiment Station regon State University ntario,

More information

MODELING SEDIMENT AND PHOSPHORUS YIELDS USING THE HSPF MODEL IN THE DEEP HOLLOW WATERSHED, MISSISSIPPI

MODELING SEDIMENT AND PHOSPHORUS YIELDS USING THE HSPF MODEL IN THE DEEP HOLLOW WATERSHED, MISSISSIPPI MODELING SEDIMENT AND PHOSPHORUS YIELDS USING THE HSPF MODEL IN THE DEEP HOLLOW WATERSHED, MISSISSIPPI Jairo Diaz-Ramirez, James Martin, William McAnally, and Richard A. Rebich Outline Background Objectives

More information

Water Quality-Quantity Issues in Mid-South Rice Production

Water Quality-Quantity Issues in Mid-South Rice Production Water Quality-Quantity Issues in Mid-South Rice Production USEPA Region 6 Agricultural Issues Seminar Series 26 May 2009 Joseph H. Massey, Ph.D. Associate Professor Department of Plant & Soil Sciences

More information

LAT IS ALL we sell in agriculture. Whether

LAT IS ALL we sell in agriculture. Whether B-6152 6-04 Grain Sorghum Irrigation Leon New* LAT IS ALL we sell in agriculture. Whether the enterprise ER is corn, cattle, cauliflower, cotton, or grain sorghum water is essential for its production

More information

Deficit Irrigation of Quality Winegrapes Using Micro-Irrigation Techniques

Deficit Irrigation of Quality Winegrapes Using Micro-Irrigation Techniques Deficit Irrigation of Quality Winegrapes Using Micro-Irrigation Techniques Terry Prichard, Irrigation and Water Management Specialist Blaine Hanson, Irrigation and Drainage Specialist Larry Schwankl, Irrigation

More information

Irrigating for Maximum Economic Return with Limited Water

Irrigating for Maximum Economic Return with Limited Water DigitalCommons@ Historical Materials from University of Nebraska- Lincoln Extension Extension 1-1-1 Irrigating for Maximum Economic Return with Limited Water Richard T. Clark, rclark3@unl.edu Norman L.

More information

Summary of M.K. Hansen AM400 and Onset HOBO Datalogger and Watermark Sensor Demonstration and Testing near Twin Falls, Idaho during 2000

Summary of M.K. Hansen AM400 and Onset HOBO Datalogger and Watermark Sensor Demonstration and Testing near Twin Falls, Idaho during 2000 Summary of M.K. Hansen AM4 and Onset HOBO Datalogger and Watermark Sensor Demonstration and Testing near Twin Falls, Idaho during 2 Dr. Richard G. Allen Univ. of Idaho, Kimberly, Idaho Purpose of the Study

More information

Irrigation Scheduling: Sensors, Technical Tools, and Apps

Irrigation Scheduling: Sensors, Technical Tools, and Apps Irrigation Scheduling: Sensors, Technical Tools, and Apps Wesley M. Porter Ext. Precision Ag and Irrigation Specialist University of Georgia All About Irrigation Workshop VA Tech Tidewater AREC March 6,

More information

Water Conservation Practices for Rice and Soybean Irrigation

Water Conservation Practices for Rice and Soybean Irrigation Water Conservation Practices for Rice and Soybean Irrigation Phil Tacker Cooperative Extension Service Earl Vories Northeast Research & Extension Center I way over-married and am blessed with two teenage

More information

Integrated Controls, Distributed Sensors and Decision Support Systems for Wireless Site-specific Sprinkler Irrigation

Integrated Controls, Distributed Sensors and Decision Support Systems for Wireless Site-specific Sprinkler Irrigation Proceedings of the 22 nd Annual Central Plains Irrigation Conference, Kearney, NE., February 24-25, 2010 Available from CPIA, 760 N. Thompson, Colby, Kansas Integrated Controls, Distributed Sensors and

More information

Using capacitance sensors to monitor soil moisture. Interpreting the numbers

Using capacitance sensors to monitor soil moisture. Interpreting the numbers Using capacitance sensors to monitor soil moisture Interpreting the numbers Terry Prichard Water Management Specialist Dept. Land, Air, and Water Resources UC Davis MEASURES OF SOIL WATER STATUS There

More information

Lift irrigation Using man or Animal power Using Mechanical or Electrical Power Flow irrigation a)inundation Irrigation b) Perennial Irrigation Direct

Lift irrigation Using man or Animal power Using Mechanical or Electrical Power Flow irrigation a)inundation Irrigation b) Perennial Irrigation Direct Lift irrigation Using man or Animal power Using Mechanical or Electrical Power Flow irrigation a)inundation Irrigation b) Perennial Irrigation Direct irrigation Storage irrigation a)flow irrigation system:

More information

Calibration and Comparison of Forest Canopy Interception Models

Calibration and Comparison of Forest Canopy Interception Models Calibration and Comparison of Forest Canopy Interception Models Anna C. Linhoss a, Courtney M. Siegert b, Delphis F. Levia c a. Department of Agricultural and Biological Engineering, Mississippi State

More information

Water Budget IV: Soil Water Processes P = Q + ET + G + ΔS

Water Budget IV: Soil Water Processes P = Q + ET + G + ΔS Water Budget IV: Soil Water Processes P = Q + ET + G + ΔS Infiltration Infiltration capacity: The maximum rate at which water can enter soil. Infiltration capacity curve: A graph showing the time-variation

More information

9. SOIL PERMEABILITY. 9.0 Why is it important to determine soil permeability?

9. SOIL PERMEABILITY. 9.0 Why is it important to determine soil permeability? 9. SOIL PERMEABILITY 9.0 Why is it important to determine soil permeability? Soil permeability is the property of the soil to transmit water and air and is one of the most important qualities to consider

More information

BENEFITS FROM IMPROVING FLOOD IRRIGATION EFFICIENCY

BENEFITS FROM IMPROVING FLOOD IRRIGATION EFFICIENCY BENEFITS FROM IMPROVING FLOOD IRRIGATION EFFICIENCY Report of Progress 544 Agricultural Experiment Station Kansas State University, Manhattan Walter R. Woods, Director BENEFITS FROM IMPROVING FLOOD IRRIGATION

More information

OWNERS WILL ENTERTAIN NON-CONTINGENT OFFERS ON ENTIRE PORTFOLIO ONLY AS A TOTAL PACKAGE UNTIL AUGUST 20TH

OWNERS WILL ENTERTAIN NON-CONTINGENT OFFERS ON ENTIRE PORTFOLIO ONLY AS A TOTAL PACKAGE UNTIL AUGUST 20TH OWNERS WILL ENTERTAIN NON-CONTINGENT OFFERS ON ENTIRE PORTFOLIO ONLY AS A TOTAL PACKAGE UNTIL AUGUST 20TH PORTFOLIO OVERVIEW STATE COUNTY/ PARISH ACRES CROPLAND (FSA) AUCTION DATE Illinois Warren 236 235

More information

Impact of Compaction State and Initial Moisture on Infiltration Characteristic of Soil

Impact of Compaction State and Initial Moisture on Infiltration Characteristic of Soil American Journal of Water Science and Engineering 2015; 1(1): 1-6 Published online September 15, 2015 (http://www.sciencepublishinggroup.com/j/ajwse) doi: 10.11648/j.ajwse.20150101.11 Impact of Compaction

More information

Irrigation District Efficiencies and Potential Water Savings in the Lower Rio Grande Valley of Texas

Irrigation District Efficiencies and Potential Water Savings in the Lower Rio Grande Valley of Texas Irrigation District Efficiencies and Potential Water Savings in the Lower Rio Grande Valley of Texas Guy Fipps and Craig Pope1 Abstract Agriculture holds about 90 percent of all the water rights in the

More information

in the Midsouth Management Chris Henry, Ph.D., P.E. Assistant Professor and Water Management Engineer Merritt McDougal Graduate Research Assistant

in the Midsouth Management Chris Henry, Ph.D., P.E. Assistant Professor and Water Management Engineer Merritt McDougal Graduate Research Assistant Lessons Pasture Learned / Hay from Irrigation Pump options Monitoring and in the Midsouth Management Chris Henry, Ph.D., P.E. Assistant Professor and Water Management Engineer Merritt McDougal Graduate

More information

Ponds. Pond A water impoundment made by excavating a pit, or constructing a dam or an embankment.

Ponds. Pond A water impoundment made by excavating a pit, or constructing a dam or an embankment. POND SITE SELECTION AND CONSTRUCTION Uses, Planning, & Design David Krietemeyer Area Engineer USDA-NRCS June 20, 2008 Uses Considerations for Location of Commonly Used Terms Pond A water impoundment made

More information

On-Farm Water Storage as a Tool to Reduce Risk

On-Farm Water Storage as a Tool to Reduce Risk On-Farm Water Storage as a Tool to Reduce Risk Domena Agyeman Graduate Student, Mississippi State University Brian Williams Assistant Professor, Mississippi State University Mary Love Tagert Assistant

More information

Rainwater Harvesting for Irrigation

Rainwater Harvesting for Irrigation Rainwater Harvesting for Irrigation Dotty Woodson, Water Resources Specialist Texas A&M AgriLife Extension d-woodson@tamu.edu Abstract. Many are looking for an affordable alternative water source for landscape

More information

The Santa Clara Valley Water District. Handbook for Agricultural Water Use Efficiency

The Santa Clara Valley Water District. Handbook for Agricultural Water Use Efficiency The Santa Clara Valley Water District Handbook for Agricultural Water Use Efficiency Funding for this project has been provided in part by the U.S. Environmental Protection Agency (USEPA) pursuant to Assistance

More information

KanSched An ET-Based Irrigation Scheduling Tool for Kansas Summer Annual Crops

KanSched An ET-Based Irrigation Scheduling Tool for Kansas Summer Annual Crops KanSched An ET-Based Irrigation Scheduling Tool for Kansas Summer Annual Crops Gary A. Clark, Professor Danny H. Rogers, Extension Engineer, Irrigation Steven Briggeman, Extension Assistant Biological

More information

2012 Southeast Hay Convention Irrigating and Monitoring Soil Moisture

2012 Southeast Hay Convention Irrigating and Monitoring Soil Moisture Today s Headlines Irrigation System Options and Scheduling Tools Calvin Perry Superintendent! Florida Agriculture Facing Water, Immigration, Research Challenges!! Water availability issues!! Cuts to Federal

More information

Roundaway Plantation

Roundaway Plantation Roundaway Plantation A Rice, Soybean and Wheat Plantation in the Mississippi Delta 2,715 acres (4.24 square miles or 10.98 square kilometers) Investing in Mississippi Delta farmland provides a very interesting

More information

Prepared and Published by Irrigation Industry Association of British Columbia (IIABC) Editors

Prepared and Published by Irrigation Industry Association of British Columbia (IIABC) Editors Agriculture Pivot Irrigation Scheduling Calculator Users Guide Prepared and Published by (IIABC) Editors Andrew Petersen, P.Ag. CID Ted W. van der Gulik, P.Eng. April 2009 www.irrigationbc.com TABLE OF

More information

Sizing Irrigation Fields

Sizing Irrigation Fields GRAYWATER CURRICULUM Sizing Irrigation Fields Class 3 Objectives 1. Soil composition 2. Evapotranspiration 3. Determine Graywater Irrigation Fields Graywater production Determine water budget Calculating

More information

In most areas of California, a mature walnut orchard

In most areas of California, a mature walnut orchard 159 20 Irrigation Scheduling for Walnut Orchards DAVID A. GOLDHAMER In most areas of California, a mature walnut orchard has the potential to use about 42 acre-inches of water per acre. This equates to

More information

Soil Moisture Monitoring By Using BUDGET Model In A Changing Climate (Case Study: Isfahan-Iran)

Soil Moisture Monitoring By Using BUDGET Model In A Changing Climate (Case Study: Isfahan-Iran) International Conference on Water Resources (ICWR 9) 26 27 May 9 \ Bayview Hotel, Langkawi. Kedah,Malaysia Soil Moisture Monitoring By Using BUDGET Model In A Changing Climate (Case Study: Isfahan-Iran)

More information

Saturated Buffer. Subsurface Drainage PURPOSE N REDUCTION LOCATION COST BARRIERS

Saturated Buffer. Subsurface Drainage PURPOSE N REDUCTION LOCATION COST BARRIERS Saturated Buffer To intercept tile drainage prior to discharging to surface waters and redistribute the water laterally in the soil profile of the streamside buffer. Subsurface drainage, also known as

More information

Estimating the Seasonal High Water Table: A Mix of Art & Science

Estimating the Seasonal High Water Table: A Mix of Art & Science Estimating the Seasonal High Water Table: A Mix of Art & Science PONDS WORKSHOP - SJRWMD Devo Seereeram, Ph.D., P.E. This paper was originally written over 4 years ago & generated a lot of interest. The

More information

Comparison of Recharge Estimation Methods Used in Minnesota

Comparison of Recharge Estimation Methods Used in Minnesota Comparison of Recharge Estimation Methods Used in Minnesota by Geoffrey Delin, Richard Healy, David Lorenz, and John Nimmo Minnesota Ground Water Association Spring Conference Methods for Solving Complex

More information

Nebraska Irrigation Well Density (Pump 8 Billion Gallons of Water/Day) NAWMN Program Goals Established in History of NAWMN

Nebraska Irrigation Well Density (Pump 8 Billion Gallons of Water/Day) NAWMN Program Goals Established in History of NAWMN Nebraska Agricultural Water Management Network NAWMN Nebraska Irrigation Well Density (Pump 8 Billion Gallons of Water/Day) Gary Zoubek xtension ducator University of Nebraska-Lincoln Precipitation changes

More information

Kansas Irrigated Agriculture s Impact on Value of Crop Production

Kansas Irrigated Agriculture s Impact on Value of Crop Production Paper No. MC03-301 An ASAE Meeting Presentation Kansas Irrigated Agriculture s Impact on Value of Crop Production by Danny H. Rogers Professor Biological & Agricultural Engineering Department Kansas State

More information

Economic Comparison of SDI and Center Pivots for Various Field Sizes

Economic Comparison of SDI and Center Pivots for Various Field Sizes Economic Comparison of SDI and Center Pivots for Various Field Sizes Daniel O Brien Extension Agricultural Economist Northwest Research and Extension Center Subsurface drip irrigation (SDI) systems are

More information

INCREASED FURROW IRRIGATION EFFICIENCY THROUGH BETTER DESIGN AND MANAGEMENT OF CANE FIELDS

INCREASED FURROW IRRIGATION EFFICIENCY THROUGH BETTER DESIGN AND MANAGEMENT OF CANE FIELDS INCREASED FURROW IRRIGATION EFFICIENCY THROUGH BETTER DESIGN AND MANAGEMENT OF CANE FIELDS S R Raine* and D Bakker** *Faculty of Engineering and Surveying, USQ, Toowoomba. Formerly BSES, Ayr. **CSR Ltd.,

More information

John Deere Field Connect Nebraska Sandy Creek FFA NE

John Deere Field Connect Nebraska Sandy Creek FFA NE John Deere Field Connect Nebraska Sandy Creek FFA NE0166 2015 Oregon Trail Equipment (OTE) was founded in 2003 when 3 already existing John Deere Dealers combined into one. They are a dealer for farm equipment,

More information

PHYSICAL SOIL PROPERTIES

PHYSICAL SOIL PROPERTIES PHYSICAL SOIL PROPERTIES Physical Soil Properties Santa Cruz County, California Scotts Valley Target Physical Soil Properties This table shows estimates of some physical characteristics and features that

More information

Monitoring the Effectiveness of Best Management Practices for the Reduction of Total Suspended Solids in Agricultural Runoff

Monitoring the Effectiveness of Best Management Practices for the Reduction of Total Suspended Solids in Agricultural Runoff Monitoring the Effectiveness of Best Management Practices for the Reduction of Total Suspended Solids in Agricultural Runoff Presented By: The Ecological Conservation Organization Introduction Agriculture

More information

AN ASSESSMENT OF IRRIGATION EFFICIENCY IN THE PALESTINIAN WEST BANK

AN ASSESSMENT OF IRRIGATION EFFICIENCY IN THE PALESTINIAN WEST BANK AN ASSESSMENT OF IRRIGATION EFFICIENCY IN THE PALESTINIAN WEST BANK Faten. Al-Juneidi and Jad Isaac Applied Research Institute - Jerusalem (ARIJ) Abstract Water scarcity in the West Bank represents a critical

More information

AgriMet: Reclamation s Pacific Northwest Evapotranspiration Network

AgriMet: Reclamation s Pacific Northwest Evapotranspiration Network AgriMet: Reclamation s Pacific Northwest Evapotranspiration Network Peter L. Palmer 1 ABSTRACT In 1983, the Bureau of Reclamation (Reclamation) and Bonneville Power Administration (BPA) partnered to create

More information

Economics of Controlled Drainage and Subirrigation Systems

Economics of Controlled Drainage and Subirrigation Systems Economics of Controlled Drainage and Subirrigation Systems Prepared by: Robert Evans, Extension Agricultural Engineering Specialist Wayne Skaggs and Ronald E. Sneed Professors of Biological and Agricultural

More information

Stormwater as an Alternative Source of Water Supply: Feasibility and Implications for Watershed Management 1

Stormwater as an Alternative Source of Water Supply: Feasibility and Implications for Watershed Management 1 CIR1493 Stormwater as an Alternative Source of Water Supply: Feasibility and Implications for Watershed Management 1 Sanjay Shukla and Fouad H. Jaber 2 Introduction: Florida s Water Supply Florida is projected

More information

INVESTIGATE SWEET POTATO CULTIVARS AND IRRIGATION CRITERIA FOR THE TREASURE VALLEY

INVESTIGATE SWEET POTATO CULTIVARS AND IRRIGATION CRITERIA FOR THE TREASURE VALLEY INVESTIGATE SWEET POTATO CULTIVARS AND IRRIGATION CRITERIA FOR THE TREASURE VALLEY Joel Felix, Clinton Shock, Joey Ishida, and Erik Feibert, Malheur Experiment Station, Oregon State University, Ontario,

More information

Soil & Nutrient Losses from Small Sprinkler & Furrow Irrigated Watersheds in Southern Idaho

Soil & Nutrient Losses from Small Sprinkler & Furrow Irrigated Watersheds in Southern Idaho Soil & Nutrient Losses from Small Sprinkler & Furrow Irrigated Watersheds in Southern Idaho David L. Bjorneberg, Supervisory Agricultural Engineer USDA ARS, Northwest Irrigation and Soils Research Lab,

More information

Nitrate Pollution in Groundwater: A Grower s Guide

Nitrate Pollution in Groundwater: A Grower s Guide SUSTAINABLE AGRICULTURE TECHNIQUES Ext/CrS 137 February 2012 SUSTAINABLE AGRICULTURE TECHNIQUES Nitrate Pollution in Groundwater: A Grower s Guide K.M. Foley, A.R. Doniger, C.C. Shock, D.A. Horneck, and

More information

History of Model Development at Temple, Texas. J. R. Williams and J. G. Arnold

History of Model Development at Temple, Texas. J. R. Williams and J. G. Arnold History of Model Development at Temple, Texas J. R. Williams and J. G. Arnold INTRODUCTION Then Model development at Temple A long history (1937-present) Many scientists participating in: Data collection

More information

Contents: Purpose and objective Water and energy conservation 1 1

Contents: Purpose and objective Water and energy conservation 1 1 1 Chapter 1 Contents: 652.0100 Purpose and objective 1 1 652.0101 Water and energy conservation 1 1 652.0102 Soil conservation, water quality, and pollution abatement 1 2 652.0103 Using the guide 1 3 (a)

More information

Climate, Soils, and Seed Production. Thomas G Chastain CSS 460/560 Seed Production

Climate, Soils, and Seed Production. Thomas G Chastain CSS 460/560 Seed Production Climate, Soils, and Seed Production Thomas G Chastain CSS 460/560 Seed Production Climate and Seed Production Much of the land mass of the Eastern US is wetter than the Western US. There are individual

More information

Soil moisture monitoring and irrigation management

Soil moisture monitoring and irrigation management Soil moisture monitoring and irrigation management A holistic solution for irrigation management Soil - plant - atmosphere monitoring imetos devices are the perfect solution for the continuous real-time

More information

Potential uses of Indices (PDSI,CMI) and other Indicators to estimate drought in Barbados. Presented by: Shontelle Stoute

Potential uses of Indices (PDSI,CMI) and other Indicators to estimate drought in Barbados. Presented by: Shontelle Stoute Potential uses of Indices (PDSI,CMI) and other Indicators to estimate drought in Barbados Presented by: Shontelle Stoute What is drought? Insufficient quantity of water, relative to what is normal, to

More information

KanSched2. An ET-Based Irrigation Scheduling Tool. October 2006

KanSched2. An ET-Based Irrigation Scheduling Tool. October 2006 KanSched2 An ET-Based Irrigation Scheduling Tool October 2006 Danny H. Rogers and Mahbub Alam Biological and Agricultural Engineering K-State Research and Extension KanSched 2.0 is a program that is designed

More information

WATER PRODUCTION FUNCTIONS FOR CENTRAL PLAINS CROPS

WATER PRODUCTION FUNCTIONS FOR CENTRAL PLAINS CROPS Proceedings of the 24th Annual Central Plains Irrigation Conference, Colby, Kansas, February 21-22, 2012 Available from CPIA, 760 N.Thompson, Colby, Kansas WATER PRODUCTION FUNCTIONS FOR CENTRAL PLAINS

More information

REYHER FARM. Diverse Agricultural Business Located In Southeast Colorado For Sale. 7,000+/- ACRES OFFERED AT $19,500,000

REYHER FARM. Diverse Agricultural Business Located In Southeast Colorado For Sale. 7,000+/- ACRES OFFERED AT $19,500,000 REYHER FARM BENT & PROWERS COUNTY, CO 7,000+/- ACRES ALFALFA PELLET MILL Capable of producing 6 tons of pellets per hour CATTLE FEEDING FACILITY 22,000 Head Capacity ALFALFA PRODUCTION approx. 4 Ton Per

More information

Hydrologic Soil Group Knowledge Matrix

Hydrologic Soil Group Knowledge Matrix Hydrologic Soil Group Knowledge Matrix Refinement Of Soils Parameter For MPCA s Minimum Impact Design Standards Calculator and Stand-Alone Hydrologic Soil Group Determination Funding for this project was

More information

When does a plant need water? Water uptake by roots. Factors that influence Transpiration

When does a plant need water? Water uptake by roots. Factors that influence Transpiration Micro irrigation for Orchards and Vineyards Ron Perry and Jim Flore Department of Hort. MSU Water relations for fruit tree crops Irrigation Scheduling for fruit trees Irrigation Systems for fruit Water

More information

Objective 1: Manage the demonstration site using common agricultural practices and monitor runoff quantity and quality.

Objective 1: Manage the demonstration site using common agricultural practices and monitor runoff quantity and quality. Appendix B Objectives/Tasks Accomplishments By J. Kjaersgaard, South Dakota State University. Objective 1: Manage the demonstration site using common agricultural practices and monitor runoff quantity

More information

THE EFFECT OF IRRIGATION TECHNOLOGY ON GROUNDWATER USE

THE EFFECT OF IRRIGATION TECHNOLOGY ON GROUNDWATER USE 3rd Quarter 2010 25(3) THE EFFECT OF IRRIGATION TECHNOLOGY ON GROUNDWATER USE Lisa Pfeiffer and C.-Y. Cynthia Lin JEL Classifications: Q15, Q25, Q38 The High Plains (Ogallala) Aquifer is the largest freshwater

More information

TIMELY INFORMATION Agriculture & Natural Resources

TIMELY INFORMATION Agriculture & Natural Resources BIOSYSTEMS ENGINEERING SERIES TIMELY INFORMATION Agriculture & Natural Resources BSEN-IRR-10-01 MAY, 2010 An Overview of Moisture Management and Irrigation Scheduling 2020 (MoisMIS 2020) General Description

More information

Large-Scale Sediment Retention Device Testing (ASTM D 7351) FLEXSTORM Inlet Filter

Large-Scale Sediment Retention Device Testing (ASTM D 7351) FLEXSTORM Inlet Filter Large-Scale Sediment Retention Device Testing (ASTM D 7351) of FLEXSTORM Inlet Filter February 2009 Submitted to: Inlet & Pipe Protection, Inc. 24137 W. 111 th St., Unit A Naperville, IL 60564 Attn: Mr.

More information

Improving soil moisture monitoring in agricultural systems using hydrogeophysics

Improving soil moisture monitoring in agricultural systems using hydrogeophysics Improving soil moisture monitoring in agricultural systems using hydrogeophysics William Avery, MS Student in School of Natural Resources Advisor: Trenton Franz Asst. Professor of Hydrogeophysics, School

More information

Dr. Eric Harmsen Professor, Dept. of Agricultural and Biosystems Eng., Univ. of Puerto Rico-Mayaguez

Dr. Eric Harmsen Professor, Dept. of Agricultural and Biosystems Eng., Univ. of Puerto Rico-Mayaguez Dr. Eric Harmsen Professor, Dept. of Agricultural and Biosystems Eng., Univ. of Puerto Rico-Mayaguez Symposium: PRYSIG 2015 Viernes, 9 de octubre de 2015 Sala Tarzán del Centro de Estudiantes Recinto Universitario

More information

IDC, UNIQUELY POSITIONED FOR DIVERSE APPLICATIONS

IDC, UNIQUELY POSITIONED FOR DIVERSE APPLICATIONS IDC, UNIQUELY POSITIONED FOR DIVERSE APPLICATIONS Prepared for CWEMF Annual Meeting 2011 Prepared by Reza Namvar, Mesut Cayar, Jon Traum, Elias Tijerina, Saquib Najmus and Ali Taghavi RMC WRIME, Inc. March

More information

Crop Water Requirement Estimation by using CROPWAT Model: A Case Study of Halali Dam Command Area, Vidisha District, Madhya Pradesh, India

Crop Water Requirement Estimation by using CROPWAT Model: A Case Study of Halali Dam Command Area, Vidisha District, Madhya Pradesh, India Volume-5, Issue-3, June-2015 International Journal of Engineering and Management Research Page Number: 553-557 Crop Water Requirement Estimation by using CROPWAT Model: A Case Study of Halali Dam Command

More information

South Platte River Importance of Return Flows and Replacing Depletions to Down-Stream Water Users

South Platte River Importance of Return Flows and Replacing Depletions to Down-Stream Water Users South Platte River Importance of Return Flows and Replacing Depletions to Down-Stream Water Users American Ground Water Trust Colorado Aquifer Management November 29 th, 2012 Jim Yahn, P.E. North Sterling

More information

IRRIGATION TECH SEMINAR SERIES. 8:00-8:30 am Registration and Breakfast CATI Conference Center. 8:30-8:45 am Welcome Bill Green - CIT Page 2

IRRIGATION TECH SEMINAR SERIES. 8:00-8:30 am Registration and Breakfast CATI Conference Center. 8:30-8:45 am Welcome Bill Green - CIT Page 2 AGENDA: Irrigation Water: Monitoring Tools to Make the Most Out of Every Drop December 15, 2009 8:00-8:30 am Registration and Breakfast CATI Conference Center 8:30-8:45 am Welcome Bill Green - CIT Page

More information

Coefficients for Estimating SAR from Soil ph and EC Data and Calculating ph from SAR and EC Values in Salinity Models

Coefficients for Estimating SAR from Soil ph and EC Data and Calculating ph from SAR and EC Values in Salinity Models Arid Soil Research and Rehabilitation, Volume 7, pp. 29-38 0890-3069/93 $10.00 +.00 Printed in the UK. All rights reserved. Copyright 1993 Taylor & Francis Coefficients for Estimating SAR from Soil ph

More information

Phosphorus for the Ontario CCA 4R Nutrient Management Specialty

Phosphorus for the Ontario CCA 4R Nutrient Management Specialty Ontario CCA 4R Nutrient Management Workshop Wednesday, 18 January 2017 Woodstock, Ontario, Canada Phosphorus for the Ontario CCA 4R Nutrient Management Specialty Tom Bruulsema, Phosphorus Program Director

More information

Phosphorus for the Ontario CCA 4R Nutrient Management Specialty

Phosphorus for the Ontario CCA 4R Nutrient Management Specialty Ontario CCA 4R Nutrient Management Workshop Thursday, July 21, 2016 Holiday Inn, Guelph Phosphorus for the Ontario CCA 4R Nutrient Management Specialty Tom Bruulsema, Phosphorus Program Director Lake Erie

More information

Furrow diking and the economic water use efficiency of irrigated cotton in the Southeast United States

Furrow diking and the economic water use efficiency of irrigated cotton in the Southeast United States Water Resources Management VI 285 Furrow diking and the economic water use efficiency of irrigated cotton in the Southeast United States R. C. Nuti 1, C. C. Truman 2, L. J. Krutz 3, R. B. Sorensen 1 &

More information

IRRIGATION DESIGN & MAINTENANCE FOR MAXIMUM EFFCIENCY

IRRIGATION DESIGN & MAINTENANCE FOR MAXIMUM EFFCIENCY IRRIGATION DESIGN & MAINTENANCE FOR MAXIMUM EFFCIENCY Donald D. Franklin CID, CLIA, don.franklin@hunterindustries.com (916) 899-9437 What Are The Goals Of Irrigation Design? Provide adequate soil moisture

More information

6.0 Runoff. 6.1 Introduction. 6.2 Flood Control Design Runoff

6.0 Runoff. 6.1 Introduction. 6.2 Flood Control Design Runoff October 2003, Revised February 2005 Chapter 6.0, Runoff Page 1 6.1 Introduction 6.0 Runoff The timing, peak rates of discharge, and volume of stormwater runoff are the primary considerations in the design

More information

Montana Ground-Water Assessment Statewide Monitoring Well Network

Montana Ground-Water Assessment Statewide Monitoring Well Network Montana Ground-Water Assessment Statewide Monitoring Well Network Montana Ground-Water Assessment Water-level Monitoring and Drought: January - March 2003 Tom Patton - Montana Bureau of Mines and Geology

More information

Apps for Agriculture Download this page:

Apps for Agriculture Download this page: Apps for Agriculture Download this page: http://www.ag.ndsu.edu/agmachinery Crop Production NDSU Pest Management The Pest management app is a tool that combines select information from the North Dakota

More information