Use of Crop Water Stress Index for Irrigation Scheduling of Soybean in Mediterranean Conditions

Tekelioğlu, Begüm; Büyüktaş, Dursun; Baştuğ, Ruhi; Karaca, Cihan; Aydinşakir, Köksal; Dinç, Nazmi

doi:10.9734/jeai/2017/37058

Cited by 9 publications

(5 citation statements)

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“…Irrigating at 0.4, 0.6, and 0.8 CWSI also resulted in higher yields compared to the control treatment, but not as high as the yields obtained with irrigation at 0.2 CWSI. Similar results were also reported from another research which suggested a seasonal mean CWSI value of 0.26 and a harvest index value of 0.40 to start irrigations in soybean plants [18].…”

Section: Impact Of Cwsi Based Irrigation Scheduling On Maize Yield An...supporting

confidence: 89%

Influence of CWSI-Based Irrigation Scheduling on Agronomic Traits (Zea mays L.) and Sustainable Water Use in Maize

Jeyasingh

Silambarasan

Devakumari

et al. 2023

IJECC

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This study aimed to optimize irrigation scheduling for maize (Zea mays L.) using the crop water stress index (CWSI) to improve water use efficiency and yield. The study was conducted in the South farm of the School of Agricultural Sciences, Karunya Institute of Technology and Sciences, Coimbatore during the Kharif and Rabi seasons of 2022. A randomized block design was used with seven treatments, including a control T1 no irrigation). Irrigation at all critical stages (T2) and other five irrigation treatments (T3 to T7) based on different CWSI values ranging from 0.2 to 1.0. Infrared thermometry was used to measure canopy temperatures for estimating the CWSI. The results showed that irrigation at 0.2 CWSI (T3) had a significant positive effect on kernel and stover yield when compared with all the other treatments during both the seasons, with the highest kernel yield of 7138.83 Kg ha-1 and 8014.8 Kg ha-1, stover yield of 11134 Kg ha-1 and 12765 Kg ha-1, respectively and lowest kernel yield of 2267 Kg ha-1 and 2325 Kg ha-1, stover yield of 8156 Kg ha-1 and 6491 Kg ha-1, respectively. The other treatments had intermediate values and did not show any consistent pattern. Irrigation at 0.2 CWSI resulted in the highest water use efficiency (WUE) of 14.7 Kg ha-cm-1 and 17.6 Kg ha-cm-1, and irrigation usage of 31.73% and 22.26% during the Kharif and Rabi seasons of 2022, respectively and the lowest water use efficiency (WUE) of 7.72 Kg ha-cm-1 and 17.6 Kg ha-cm-1 was found in T7 during the Kharif and Rabi seasons of 2022, respectively. The results suggest that irrigation at 0.2 CWSI could be a promising option for achieving higher kernel and stover yields with minimal water use and maximum WUE and IUE.

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Section: Impact Of Cwsi Based Irrigation Scheduling On Maize Yield An...supporting

confidence: 89%

Influence of CWSI-Based Irrigation Scheduling on Agronomic Traits (Zea mays L.) and Sustainable Water Use in Maize

Jeyasingh

Silambarasan

Devakumari

et al. 2023

IJECC

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“…Corn plants experience greater water stress when CWSI values are >0.2 (Steele et al, 1994;Irmak et al, 2000) and respond quickly even under incremental increases in water availability, as shown in figure 6 for T 66 and T 33 (table 3). Similar CWSI response to full irrigation, deficit irrigation, and plant water uptake have been observed for corn (Yazar et al, 1999;Irmak et al, 2000) as well as wheat (Gontia and Tiwari, 2008), soybean (Candogan et al, 2013;Tekelioğlu et al, 2017), grain sorghum (O'Shaughnessy et al, 2012), and cotton (Usman et al, 2009;Ünlü et al, 2011).…”

Section: Cwsi and Irrigation Treatmentssupporting

confidence: 66%

Evaluation of Infrared Canopy Temperature Data in Relation to Soil Water-Based Irrigation Scheduling in a Humid Subtropical Climate

Lena¹,

Ortiz²,

Jiménez-Lópe³

et al. 2020

Transactions of the ASABE

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HighlightsCorn response to irrigation was influenced by the precipitation distribution in 2018 and 2019, and that impacted the response of CWSI as an irrigation scheduling signaling method.CWSI was sensitive to changes in soil water storage, increasing due to crop evapotranspiration and decreasing after a precipitation or irrigation event.In 2018, both seasonal CWSI and yield were not different among the irrigation treatments, while in 2019, seasonal CWSI and yield were all statistically different among the treatments evaluated.Post analysis of canopy and air temperature indicated that the temperature-time threshold (TTT) method might not appropriately signal crop water stress in a humid environment.Abstract. Irrigation scheduling based on the crop water stress index (CWSI) and temperature-time threshold (TTT) methods is promising for semi-arid and arid climates. The objective of this study was to investigate if CWSI and TTT methods could be used as irrigation signaling tools for a humid environment in the southeastern U.S. Corn canopy temperature data were collected in Alabama in 2018 and 2019 using infrared leaf temperature sensors on a fully irrigated treatment and on two limited irrigation treatments. A set of three soil water sensors installed at 0.15, 0.3, and 0.6 m soil depth were used to prescribe irrigation time and amount. CWSI was sensitive to precipitation, irrigation, and plant water uptake. No statistical differences in CWSI or yield among the three irrigation levels were found in 2018 when precipitation was well distributed during the season. In contrast, during 2019 both CWSI and yield differed significantly among the three irrigation treatments. Precipitation events in 2019 were sparse compared to 2018; therefore, irrigation promoted greater differences in water availability between treatments. Inconsistencies observed in potential irrigation signaling using the TTT method with or without the inclusion of a limiting relative humidity algorithm indicate that the TTT method may not be a reliable irrigation signaling tool for humid environments. Keywords: Corn yield, Crop water stress index, Irrigation scheduling, Limiting relative humidity, Soil water depletion, Temperature-time threshold.

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“…Based on a comparison of different indices and approaches, De Swaef et al (2021) concluded that CWSI can be a complementary criterion to detect differential responses to drought stress in perennial grasses. CWSI has also been employed to determine the level of stress and to schedule irrigation in soybean ( Candogan et al, 2013 ; Tekelioğlu et al, 2017 ), and Anda et al (2019) reported higher CWSI values in soybean under drought as compared to a control treatment. Our results were in accordance with this, as higher CWSI values were noted for the drought treatments than well-watered conditions.…”

Section: Discussionmentioning

confidence: 99%

Response of a Diverse European Soybean Collection to “Short Duration” and “Long Duration” Drought Stress

Saleem

Aper²,

Muylle³

et al. 2022

Front. Plant Sci.

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Drought causes significant damage to a high value crop of soybean. Europe has an increasing demand for soybean and its own production is insufficient. Selection and breeding of cultivars adapted to European growth conditions is therefore urgently needed. These new cultivars must have a shorter growing cycle (specifically for adaptation to North-West Europe), high yield potential under European growing conditions, and sufficient drought resistance. We have evaluated the performance of a diverse collection of 359 soybean accessions under drought stress using rain-out shelters for 2 years. The contrasting weather conditions between years and correspondingly the varying plant responses demonstrated that the consequences of drought for an individual accession can vary strongly depending on the characteristics (e.g., duration and intensity) of the drought period. Short duration drought stress, for a period of four to 7 weeks, caused an average reduction of 11% in maximum canopy height (CH), a reduction of 17% in seed number per plant (SN) and a reduction of 16% in seed weight per plant (SW). Long duration drought stress caused an average reduction of 29% in CH, a reduction of 38% in SN and a reduction of 43% in SW. Drought accelerated plant development and caused an earlier cessation of flowering and pod formation. This seemed to help some accessions to better protect the seed yield, under short duration drought stress. Drought resistance for yield-related traits was associated with the maintenance of growth under long duration drought stress. The collection displayed a broad range of variation for canopy wilting and leaf senescence but a very narrow range of variation for crop water stress index (CWSI; derived from canopy temperature data). To the best of our knowledge this is the first study reporting a detailed investigation of the response to drought within a diverse soybean collection relevant for breeding in Europe.

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Use of Crop Water Stress Index for Irrigation Scheduling of Soybean in Mediterranean Conditions

Cited by 9 publications

References 0 publications

Influence of CWSI-Based Irrigation Scheduling on Agronomic Traits (Zea mays L.) and Sustainable Water Use in Maize

Influence of CWSI-Based Irrigation Scheduling on Agronomic Traits (Zea mays L.) and Sustainable Water Use in Maize

Evaluation of Infrared Canopy Temperature Data in Relation to Soil Water-Based Irrigation Scheduling in a Humid Subtropical Climate

Response of a Diverse European Soybean Collection to “Short Duration” and “Long Duration” Drought Stress

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