Using an integrated crop water stress index for irrigation scheduling of two corn hybrids in a semi-arid region

O’Shaughnessy, Susan A.; Andrade, Manuel A.; Evett, Steven R.

doi:10.1007/s00271-017-0552-x

Cited by 37 publications

(39 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This would be desired in practical applications to minimize uncertainty in the vegetation temperature component, and this was sought by aiming IRTs at the center of the crop row. Conversely, a wider range of v VEG would have been desired for the present study, and also to test algorithms for extracting vegetation temperature from T B , where T B may include both vegetation and soil in the IRT field of view (Jackson, 1982;Peters and Evett, 2008;O'Shaughnessy et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

“…There are also questions about the economic feasibility of using UAV platforms for thermal imaging, given the lengthy post processing required to provide reliably accurate thermometric images of a field. Therefore, efforts continue to develop and commercialize proximal remote sensing platforms and sensors aboard moving (center pivot and lateral move) irrigation systems (O'Shaughnessy et al, 2018;Osroosh et al, 2018).…”

mentioning

confidence: 99%

“…For IRTs, Peters and Evett (2004) showed that diurnal temperatures could be reconstructed from one-time-ofday measurements, which were referenced to diurnal (time series) measurements. This approach was used successfully in subsequent work where one-time-of-day measurements from moving IRTs were diurnally scaled using time series measurements from stationary (reference) IRTs (e.g., Peters and Evett, 2008;O'Shaughnessy et al, 2017;Colaizzi et al, 2017a). However, O'Shaughnessy et al (2017) reported that mean seasonal integrated crop water stress index values for fully irrigated corn plots were almost 15% larger for moving compared with stationary IRTs, and attributed this to the moving IRTs viewing a larger proportion of soil and hence measuring larger surface temperatures.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Comparison of Stationary and Moving Infrared Thermometer Measurements Aboard a Center Pivot

Colaizzi¹,

O’Shaughnessy²,

Evett³

et al. 2019

Applied Engineering in Agriculture

Self Cite

View full text Add to dashboard Cite

HighlightsStationary and moving infrared thermometers aboard a center pivot were compared.Comparisons were in terms of directional brightness temperature discrepancies.Discrepancies were within 1.8°C, and many were within 1.0°C.Larger discrepancies tended to occur for sparser vegetation cover.Abstract. Infrared thermometers (IRTs) can measure canopy temperature, which is useful for irrigation and crop management. Center pivot and lateral move irrigation systems are suitable platforms to transport IRTs across cropped fields at regular intervals. IRTs aboard center pivots, when used in conjunction with irrigation scheduling algorithms, have resulted in crop yield and crop water productivity that is equivalent to or greater than what can be achieved using soil water measurements of the root zone profile with a field-calibrated neutron probe. Irrigation scheduling algorithms perform best when stationary IRT measurements are supplemented with moving IRT arrays, where the former provides time series data and the latter provides spatially distributed data. However, the normal deflection of moving irrigation systems and other confounding factors have caused concern that moving IRT measurements may be degraded relative to stationary IRT measurements. Directional brightness temperatures (TB) measured by stationary and moving IRTs were compared over two corn and one potato season at the USDA Agricultural Research Service, Bushland, Texas. Moving and stationary TB were compared in terms of root mean square error, mean absolute error, and mean bias error, and were all < 1.8°C, and many were < 1.0°C, and r2 = 0.95. Error terms tended to be larger for potato, which had less vegetation cover compared with corn. However, error terms were similar to previous studies of calibration and spatial variability for IRTs and thermal imagers. Therefore, TB measurements of moving IRTs did not appear to be degraded relative to TB measurements of stationary IRTs for this study. However, interpretation of stationary and moving IRT measurements may be aided by addition of low cost imagers to distinguish vegetation from soil background. Keywords: Canopy temperature, Crop management, Evapotranspiration, Irrigation, Remote sensing, Sensors.

show abstract

Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Comparison of Stationary and Moving Infrared Thermometer Measurements Aboard a Center Pivot

Colaizzi¹,

O’Shaughnessy²,

Evett³

et al. 2019

Applied Engineering in Agriculture

Self Cite

View full text Add to dashboard Cite

show abstract

“…In horticultural crops, it has been reported that water use can be reduced by 50% or more with concurrent increases in yield and water productivity of up to 250% over conventional irrigation methods (Malhotra and Das, 2016). In field crops, reductions in water use of 20% and increases in water productivity (water use efficiency) of 20% can be obtained with precision irrigation (O'Shaughnessy et al, 2015(O'Shaughnessy et al, , 2016. The potential trade-offs of modern water-saving irrigation systems (e.g., improved on-farm water productivity but reduced runoff, deep seepage, and groundwater recharge) must also be considered from a watershed perspective.…”

Section: Key Priority 4: Optimize Irrigation Efficiency and Increase mentioning

confidence: 99%

“…Dr. Evett discussed one such decision support system based on IoT proximal sensor networks that has been licensed by a major U.S. manufacturer of center-pivot irrigation systems (Evett et al, 2014;Andrade et al, 2017). That system has been shown to allow regulated deficit irrigation of crops (corn, cotton, potato, sorghum, and soybean), reducing yield reduction risk while increasing overall crop water productivity relative to conventional irrigation scheduling (e.g., O'Shaughnessy et al, 2015O'Shaughnessy et al, , 2016.…”

Section: Key Priority 4: Optimize Irrigation Efficiency and Increase mentioning

confidence: 99%

Perspectives on Global Water Security

Harmel¹,

Chaubey²,

Ale³

et al. 2020

Transactions of the ASABE

Self Cite

View full text Add to dashboard Cite

Collection PerspectiveHIGHLIGHTS  ASABE and ISAE convened the Global Water Security Conference for Agriculture and Natural Resources in Hyderabad, India, in 2018.  Recommendations represent collective contribution of attendees and presenters in seven key priorities.  Continuation of a narrow focus on technical aspects will likely prevent the success of technical solutions.  Scientists and engineers should work together across all disciplines and boundaries to ensure global water security.

show abstract

Effects of irrigation and nitrogen fertilizer management on wheat grain baking quality based on the SiriusQuality2 crop model

Liu

2023

Irrigation and Drainage

View full text Add to dashboard Cite

The baking quality of wheat grain is significantly affected by irrigation and nitrogen fertilizer management. This study aimed to model the impacts of nitrogen and water stress on winter wheat grain protein composition using SiriusQuality2. SiriusQuality2 was calibrated by using sufficient nitrogen and water treatments and used to evaluate 16 treatments in semi‐arid regions. Then, simulated baking quality and yield over a past 51‐year period were used to screen and optimize the selected 203 management practices. The evaluated simulation results suggest that all relative root mean square errors were less than 0.3, and the simulation results were excellent or good. Irrigation and nitrogen fertilization were beneficial to yield and grain protein content (GPC), while grain baking quality had adverse responses to irrigation. The GPC no longer increased, and the baking quality decreased with excess nitrogen fertilization (262.5 kg ha−1). Increasing the irrigation frequency and days after sowing were always conducive to baking quality. The optimal management, with a basal dressing of 315‐kg ha−1 nitrogen fertilization and 180‐mm irrigation depth at the wintering stage and jointing stage, was selected. Optimized management practices could simultaneously meet the multiple requirements of high grain quality and yield.

show abstract

Using an integrated crop water stress index for irrigation scheduling of two corn hybrids in a semi-arid region

Cited by 37 publications

References 44 publications

Comparison of Stationary and Moving Infrared Thermometer Measurements Aboard a Center Pivot

Comparison of Stationary and Moving Infrared Thermometer Measurements Aboard a Center Pivot

Perspectives on Global Water Security

Effects of irrigation and nitrogen fertilizer management on wheat grain baking quality based on the SiriusQuality2 crop model

Contact Info

Product

Resources

About