Irrigation Scheduling of Kohlrabi (Brassica oleracea var. gongylodes) Using Crop Water Stress Index

Cremona, María Victoria; Stützel, Hartmut; Kage, Henning

doi:10.21273/hortsci.39.2.276

Cited by 14 publications

(3 citation statements)

References 16 publications

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“…In the previous studies carried out was reported CWSI values give crucial information about the water stress experienced by plants. It has been pointed out that with irrigation schedules to be determined by taking these outcomes into account, it is possible to increase the yield, quality and water saving (Idso et al 1981 ; Reginato 1983 ; Sepaskhah and Kashefipour 1994 ; Olufayo et al 1996 ; Cárcova et al 1998 ; Alderfasi and Nielsen 2001 ; Cremona et al 2004 ; Yuan et al 2004 ). Köksal and Yıldırım ( 2011 ) stated that the CWSI can be used effectively in the irrigation scheduling of sugar beet, under semi-arid conditions.…”

Section: Introductionmentioning

confidence: 99%

Chlorophyll Response to Water Stress and the Potential of Using Crop Water Stress Index in Sugar Beet Farming

Yetik

Candogan

2022

Sugar Tech

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Field experiments were conducted in 2019 and 2021 growing seasons to evaluate the chlorophyll readings and crop water stress index (CWSI) response to full and deficit irrigation for drip-irrigated sugar beet ( Beta vulgaris L.) under sub-humid climate of Bursa, Turkey. In addition, the changes of soil water content under different irrigation treatments and statistical relationships between chlorophyll and CWSI values and ET c , root yield and sugar yield were investigated. Experiments were carried out in a completely randomized blocks design with three replications. Irrigations were scheduled based on the replenishment of 100 (S1), 66 (S2), 33 (S3), and 0% (S4) of soil water depletion within the soil profile of 0–90 cm using 7 day irrigation intervals. Lower and upper baselines obtained by measurements based on the canopy temperature from the treatments full irrigated and non-irrigated were used to calculate CWSI. The variations in CWSI values were consistent with the variations of seasonal soil water contents induced by the different irrigation practices. CWSI values generally varied between 0 and 1 throughout the experimental periods. In 2019, seasonal mean chlorophyll readings varied between 203.3 and 249.1, and mean CWSI values varied between 0.12 and 0.85. In 2021, seasonal mean chlorophyll readings varied between 232.7 and 259.3 and mean CWSI values between 0.19 and 0.89. Unlike chlorophyll values, CWSI decreased with increased irrigation water amount. In both years, statistically significant relationships were determined between chlorophyll readings and CWSI and ET c , root yield and sugar yield. The greatest root yield was achieved with a seasonal mean CWSI value of 0.12. An exponential equation determined as “Root Yield = 10.804e −1,55CWSI ” between seasonal average CWSI values and root yield can be used for estimation of root yield in sugar beet farming. The mean CWSI values determined by infrared thermometer technique can be used in determination of crop water stress and irrigation scheduling of sugar beet cultivation under sub-humid climatic conditions.

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Section: Introductionmentioning

confidence: 99%

Chlorophyll Response to Water Stress and the Potential of Using Crop Water Stress Index in Sugar Beet Farming

Yetik

Candogan

2022

Sugar Tech

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“…Results showed that applied irrigation water decreased by 25% (Mathew and Senthilvel, 2004). Cremona et al (2004) evaluated two methods of farm irrigation scheduling, one based on measuring plant stress index (canopy temperature) and the other based on measuring soil moisture. They con-cluded that by measuring canopy temperature, the water productivity increases by 25%.…”

Section: Introductionmentioning

confidence: 99%

Technical and economic study of irrigation scheduling devices on corn water productivity in a semi-arid region

Shahrokhnia

Zare

2022

IJAm

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It is essential to consider water allocation control and on-farm irrigation scheduling to increase water productivity in agriculture. There are several devices used for irrigation scheduling, however the best device with the most priority is not identified yet. In the present study, the effect of using several irrigation scheduling devices on increasing water productivity in a corn field was investigated. The devices were classified technically and economically using analytic hierarchy process. The experimental farm was located in a semi-arid region in Iran, which was managed by a farmer and irrigated with drip irrigation system. Six techniques for irrigation scheduling were studied including Penman-Monteith model (T2), infrared thermometer (T3), soil moisture meter (T4), tensiometer (T5), and gypsum block (T6). The irrigation scheduling treatments were compared with the conventional treatment adopted by the farmer (T1). Economic analysis was performed. The ease of use of the devices was also evaluated. Results showed for the irrigation scheduling treatments of T3 to T6, applied irrigation water was reduced by 11 to 26% compared to T1. The corn yield in irrigation scheduling treatments was not reduced significantly compared to T1. As a result, water productivity increased by 35% from 2.0 to 2.7 kg/m3. The best irrigation scheduling device in terms of water productivity was gypsum block. In regard to affordability and ease of use by farmers, the Penman-Monteith model had more priority. Considering all assessment criteria, tensiometer (T5) was given the first priority. The infrared thermometer (T3) and Penman-Monteith model (T2) were identified as the next priorities.

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“…엽온은 낮에는 일사와 기온에 따라 높아 지며, 바람과 증산작용에 의해 잎의 수분이 증발하여 엽온이 떨어진다 (Kim et al, 1999). Idso(1977) Alderfasi and Nielsen(2001), Cremona et al(2004), Erdem et al(2010) 에 의해 계속되고 있다. 국내에서도 근적외선 온도계로 엽온을 비접촉식으로 측정하여 작물의 온도 변화에 따른 수분스트레스 지수에 관한 연구 (Kim et al, 1999, Lee andLee, 2001)…”

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Development of Crop Water Stress Index for Kimchi Cabbage Precision Irrigation Control

Lee¹,

Kim²,

Lee³

et al. 2019

HST

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This study was carried out to investigate the effects of soil moisture tension on the growth and leaf temperature of the Kimchi cabbage and develop the crop water stress index (CWSI) for precision irrigation control. Kimchi cabbages were cultivated under different levels (-20, -100, and -500 kPa) of soil moisture tension (SMT). At 60 days after transplanting, the dry matter weight was significantly lower at -500 kPa of SMT than -20 and -100 kPa, however, there were non-significant changes in the maximum leaf length, leaf width, and leaf number among SMT levels. The head weight of the Kimchi cabbage was 60% greater (2,331 g/plant) at -500 kPa than at -20 kPa (1,442 g/plant). The mean leaf temperature of cultivars at -20, -100, and -500 kPa during trial periods was 25.9, 26.5, and 30.6°C, respectively. The CWSI of cultivars at -20, -100, and -500 kPa was 0.0, 0.1, and 1.0, respectively. Results indicated that the growth, leaf temperature, and CWSI calculated from the leaf temperature of the Kimchi cabbage can differ depending on the SMT, and it is possible to develop feasible methods for precision irrigation using the CWSI.

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Irrigation Scheduling of Kohlrabi (Brassica oleracea var. gongylodes) Using Crop Water Stress Index

Cited by 14 publications

References 16 publications

Chlorophyll Response to Water Stress and the Potential of Using Crop Water Stress Index in Sugar Beet Farming

Chlorophyll Response to Water Stress and the Potential of Using Crop Water Stress Index in Sugar Beet Farming

Technical and economic study of irrigation scheduling devices on corn water productivity in a semi-arid region

Development of Crop Water Stress Index for Kimchi Cabbage Precision Irrigation Control

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