Comparison of Sdi, Lepa, and Spray Irrigation Performance for Grain Sorghum

Colaizzi, Paul D.; Schneider, A. D.; Evett, Steven R.; Howell, Terry A.

doi:10.13031/2013.17628

Cited by 66 publications

(64 citation statements)

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“…The greatest WUE was in the 55% treatment although not significantly different from the I80% treatment plots. These results are similar to those reported by Colaizzi et al (2004) in that grain sorghum irrigated at levels of 100% and 75% of ET produced yields that were not significantly different. The greatest IWUE occurred in the I55% treatment plots, yet they were not significantly different than the I30% treatment plots.…”

Section: Differences Across Irrigation Amount Treatmentssupporting

confidence: 91%

A crop water stress index and time threshold for automatic irrigation scheduling of grain sorghum

O’Shaughnessy

Evett

Colaizzi

et al. 2012

Agricultural Water Management

119

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a b s t r a c tVariations of the crop water stress index (CWSI) have been used to characterize plant water stress and schedule irrigations. Usually, this thermal-based stress index has been calculated from measurements taken once daily or over a short period of time, near solar noon or after and in cloud free conditions. A method of integrating the CWSI over a day was developed to avoid the noise that may occur if weather prevents a clear CWSI signal near solar noon. This CWSI and time threshold (CWSI-TT) was the accumulated time that the CWSI was greater than a threshold value (0.45); and it was compared with a time threshold (CWSI-TT) based on a well-watered crop. We investigated the effectiveness of the CWSI-TT to automatically control irrigation of short and long season grain sorghum hybrids (Sorghum bicolor (L.) Moench, NC+ 5C35 and Pioneer 84G62); and to examine crop response to deficit irrigation treatments (i.e. 80%, 55%, 30% and 0% of full replenishment of soil water depletion to 1.5-m depth). Results from automated irrigation scheduling were compared to those from manual irrigation based on weekly neutron probe readings. In 2009, results from the Automatic irrigation were mixed; biomass yields in the 55% and 0% treatments, dry grain yields in the 80% and 0% treatments, and WUE in the 80%, 55%, and 0% treatments were not significantly different from those in the corresponding Manual treatments. However, dry grain yields in the 55% and 30% treatments were significantly less than those in the Manual control plots. These differences were due mainly to soil water variability in the beginning of the growing season. This conclusion is reinforced by the fact that IWUE for dry grain yield was not significantly different for 30% and 55% treatments, and was significantly greater for Automatic control at 80%. In 2010, there were no significant differences in biomass, dry grain yield, WUE, or IWUE for irrigation control methods when compared across the same amount treatments. Similar results between irrigation methods for at least the highest irrigation rate (80% of soil water depletion) in 2009 and among all irrigation treatment amounts in 2010 indicate that the CWSI-TT method can be an effective trigger for automatically scheduling either full or deficit irrigations for grain sorghum in a semi-arid region.Published by Elsevier B.V.

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Section: Differences Across Irrigation Amount Treatmentssupporting

confidence: 91%

A crop water stress index and time threshold for automatic irrigation scheduling of grain sorghum

O’Shaughnessy

Evett

Colaizzi

et al. 2012

Agricultural Water Management

119

View full text Add to dashboard Cite

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“…Sin embargo, en alfalfa y maíz este valor puede incrementar a 2 kg m -3 y 4 kg m -3 (Montemayor et al, 2007y Montemayor et al, 2010. La productividad del agua varia de región a región y está directamente influenciada por varios factores como la fertilidad del suelo, variedad, fechas de siembra, densidades de población, prácticas culturales, sistema de riego y clima; sin embargo, este valor debe incrementarse porque el agua es el recurso más limitante en la agricultura (Colaizzi et al, 2004;Ahmad et al, 2004).…”

Section: Introductionunclassified

Productividad del agua en el cultivo de triticale (X. Triticosecale Wittmack) en La Comarca Lagunera de Coahuila, México

Trejo

Castruita

López

et al. 2017

Remexca

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“…The spatial estimation of daily ET, especially its partitioning between the canopy and soil layers is therefore useful to improve irrigation design (Colaizzi et al, 2004), climate simulations (Lawrence et al, 2007) and environmental assessments (Newman et al, 2006). Transpiration at daily or smaller time scales has been successfully estimated by using remote-sensing based vegetation indices (VIs) and physiological canopy conductance models (Gan and Gao, 2015;Leuning et al, 2008;Mu et al, 2011;Zhang et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Evaluating soil evaporation parameterizations at near-instantaneous scales using surface dryness indices

Gao

Gan

Liu

et al. 2016

Journal of Hydrology

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a b s t r a c tSoil evaporation is an important component in the water and energy cycles on land, especially for areas that are moderately or densely covered by bare soil. Soil evaporation parameterizations that scale down potential evaporation with the soil surface temperature (T s ) and/or the air humidity are regionally applicable because of the advantage of omitting pixel-scale near-surface soil moisture. In this paper, we provide an intercomparison study among these parameterizations. Potential evaporation indices are estimated from the Priestley-Taylor method, the Penman method, and the mass transfer method (with or without T s ). The surface dryness indices that indicate the water availability of the soil surface are based on T s and/or the air humidity. We establish and evaluate ten such soil evaporation parameterizations through combinations of different types of potential evaporation indices and surface dryness indices at near-instantaneous scales (30 min). The results show that incorporating the soil temperature in the surface dryness index instead of the potential evaporation index can improve soil evaporation estimations. Poorer but still reasonable estimations are achieved when only the air humidity-based surface dryness index is used. In addition, the energy balance factor is crucial in the surface dryness indices. Our study indicates that the potential evaporation indices that are based on the Penman equation are generally more useful and robust than those that are based on the Priestley-Taylor approach or the mass transfer method. However, when the surface dryness index is only based on air humidity data, the PriestleyTaylor potential evaporation index performs as well as the index that is estimated from the Penman equation. In contrast, a soil evaporation parameterization that estimates the potential evaporation through the mass transfer method (with T s ) and the surface dryness index from the soil moisture content did not perform as well as the above ten parameterizations.

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Comparison of Sdi, Lepa, and Spray Irrigation Performance for Grain Sorghum

Cited by 66 publications

References 0 publications

A crop water stress index and time threshold for automatic irrigation scheduling of grain sorghum

A crop water stress index and time threshold for automatic irrigation scheduling of grain sorghum

Productividad del agua en el cultivo de triticale (X. Triticosecale Wittmack) en La Comarca Lagunera de Coahuila, México

Evaluating soil evaporation parameterizations at near-instantaneous scales using surface dryness indices

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