Furrow‐irrigation application efficiency in mid‐southern U.S. conservation tillage systems

Bryant, Corey; Locke, Martin A.; Krutz, L. Jason; Reynolds, Daniel B.; Golden, Bobby R.; Irby, T.; Steinriede, R.W.; Spencer, G. Dave

doi:10.1002/agj2.20468

Cited by 10 publications

(5 citation statements)

References 30 publications

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“…Crop irrigation water requirements are obtained from Massey et al (2017). Average irrigation water application efficiency is estimated based on Bryant et al (2021) considering that furrow irrigation is predominant in the area.…”

Section: Demand For Irrigation Watermentioning

confidence: 99%

Optimal Management of Irrigation Water from Aquifer and Surface sources

Quintana-Ashwell

Gholson

2022

J. Agric. Appl. Econ.

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We explore the economic merits of on-farm water storage with tailwater recovery systems to reduce aquifer depletion in a region with expanding irrigated acreage and substantial off-season precipitation. Gains are substantial on a broad scale and long planning horizon, including more than $4 billion in producer surplus, 5 million acre-feet of conserved groundwater, and land capitalization of $24 per acre. Sensitivity analyses provide insights with respect to the impact of discount rates, rainfed returns, return flows, and aquifer recharge rates. Results can inform stakeholders about the optimal allocation of funds directed at agricultural practice adoption and agricultural water investments.

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Section: Demand For Irrigation Watermentioning

confidence: 99%

Optimal Management of Irrigation Water from Aquifer and Surface sources

Quintana-Ashwell

Gholson

2022

J. Agric. Appl. Econ.

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“…While negative effects of reduced yields on overall profitability are commonly acknowledged, the negative economic and environmental effects of over‐irrigating are often overlooked. Every inch of water applied in excess of crop demand costs producers in the mid‐southern United States $10.28 acre −1 (1$ ha −1 ; Bryant et al., 2020). Leaching, runoff volume, and off‐site transport also increase when irrigation is applied but not needed (Frisvold & Deva, 2012; Zamora & Dukes, 2017).…”

Section: Introductionmentioning

confidence: 99%

Development of a soil moisture sensor‐based irrigation scheduling program for the midsouthern United States

Bryant

Spencer

Gholson³

et al. 2023

Crop Forage & Turfgrass Mgmt

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There is limited adoption of irrigation scheduling tools that could improve application timing and water use efficiency in row‐crop production systems common to the mid‐southern United States. The objectives of this manuscript are to describe a sensor‐based irrigation scheduling method and review its effects on water applied and crop productivity. The effects of scheduling irrigation based on the recommended construction, deployment, and utilization of the WATERMARK 200SS granular matrix (WATERMARK) sensor on water applied, crop productivity, and crop water use efficiency were reviewed for corn (Zea mays L.), soybean [Glycine max L. (Merr.)], peanut (Arachis hypogaea L.), and cotton (Gossypium hirsutum L.) produced in the Prairie region of Arkansas and the Delta regions of Arkansas and Mississippi. For corn and soybean, on‐farm research indicates the recommended irrigation threshold of −85 to −100 cbar reduces total water applied up to 40% while maintaining or improving yield up to 3%, net returns up to $39 acre−1, and irrigation water use efficiency up to 51% for soil textures ranging from very fine sandy loam to clay. Similarly, for peanut and cotton, results indicate the irrigation threshold that minimizes water use while maximizing yield and net returns is −50 cbar and −100 cbar, respectively. The recommended method for scheduling irrigations with a WATERMARK 200SS soil moisture sensor promotes the efficient use of water in row‐crop production systems common to the mid‐southern USA.

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“…In this regard, precise surface irrigation management depends on designing appropriate surface irrigation methods, which improve irrigation performance indicators 6 , 7 . In a recent study, Bryant et al 8 reported that nearly 80% of mid-southern U.S. farms are irrigated through furrow irrigation with low application efficiency. Thus, improving the performance of surface irrigation systems requires extensive research and evaluating the deriving components of the irrigation system 4 , 9 .…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, Henry et al 29 reported that about 4-6% of furrow-irrigated fields are just irrigated by surge irrigation, which is very small compared with the continuous irrigation. In a recent study, Bryant et al 8 reported that surge irrigation can lead to an increase in application efficiency up to 209% while runoff, deep percolation, and total water applied were reduced by 57, 64, and 31%, respectively. Coolidge et al 30 showed that surge irrigation reduces the infiltrated volume for the advance time and improves the distribution uniformity along the furrow.However, the hydraulic process of surface irrigation is complex since it simultaneously combines surface flow with infiltration into the soil profile.…”

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confidence: 99%

Measurement and simulation of irrigation performance in continuous and surge furrow irrigation using WinSRFR and SIRMOD models

Radmanesh

Ahmadi

Sepaskhah

2023

Sci Rep

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The SIRMOD and WinSRFR models were used to model and assess the irrigation performance under continuous and surge irrigation strategies with two furrow lengths of 70 m and 90 m and stream sizes of 0.4 l/s and 0.6 l/s for each length. According to the normalized root mean squared error (NRMSE) and the relative error (RE), WinSRFR had, on average, excellent accuracy in the continuous and surge irrigation for simulating advance-recession times (NRMSE: 6.15 and 4.24% for advance time, and 2.20 and 5.20% for recession time), infiltrated water depth (NRMSE: 3.37 and 6.38%), and runoff volume (RE: 6.93 and 2.57%), respectively. SIRMOD had also, on average, excellent simulation in the continuous and surge irrigation for advance-recession times (NRMSE: 3.34 and 2.45% for advance time, and 2.28 and 6.41% for recession time), infiltrated water depth (NRMSE: 2.98 and 5.27%), and runoff volume (RE: 5.31 and 17.49%), respectively. The average of irrigation application efficiency (AE), distribution uniformity (DU), deep percolation (DP), and tail-water ratio (TWR) were 61.50, 90.25, 11.75, and 26.75% in continuous irrigation, and 72.03, 94.09, 8.39, and 19.57% in surge irrigation, respectively, which shows that surge irrigation increased AE (irrigation management performance) and DU (irrigation method performance) and reduced DP and TWR compared to continuous irrigation. Moreover, longer furrow lengths increased AE and DP under both irrigation methods, while it decreased TWR and DU. However, increasing the stream size decreased AE and DP and increased TWR under both continuous and surge irrigations. The higher stream size improved DU in continuous irrigation but reduced DU in surge irrigation. The results confirmed that both SIRMOD and WinSRFR are reliable analytical tools to evaluate furrow irrigation strategies for improving irrigation management. In conclusion, this study showed that surface irrigation models could be employed in practice by irrigation engineers and practitioners to design and define the optimized furrow length and stream size in arid and semi-arid areas where efficient and high performance irrigation strategies are required to save water and reduce water loss.

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Furrow‐irrigation application efficiency in mid‐southern U.S. conservation tillage systems

Cited by 10 publications

References 30 publications

Optimal Management of Irrigation Water from Aquifer and Surface sources

Optimal Management of Irrigation Water from Aquifer and Surface sources

Development of a soil moisture sensor‐based irrigation scheduling program for the midsouthern United States

Measurement and simulation of irrigation performance in continuous and surge furrow irrigation using WinSRFR and SIRMOD models

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