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Andrija Brkić
Agricultural Institute Osijek, 31000 Osijek, Croatia

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Journal article
Published: 10 March 2021 in Applied Sciences
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Watermark, Tensiometer and Time Domain Reflectometry (TDR) are commonly used soil water sensors in irrigation practice whose performance depends on soil type, depth and growing conditions. Here, the results of sensor performance evaluation in different soil depths as well as the field and laboratory testing in silty clay loamy soil are presented. Gravimetric soil moisture samples were taken from sensor installation depths (10, 20, 30 and 45 cm) and used as reference Soil Water Content (SWC). The measurements varied significantly (p < 0.05) across the monitoring depths. On average across the soil depths, there was a strong negative linear relationship between Watermark (r = −0.91) and TDR (r = 0.94), and a moderate negative (r = −0.75) linear relationship between SWC and Tensiometer. In general, Watermark and Tensiometer measured SWC with great accuracy in the range of readily available water, generated larger Mean Difference (MD) than TDR and overestimated SWC, while TDR underestimated SWC. Overall, laboratory testing reduced the root mean square error (RMSE, Watermark = 1.2, Tensiometer = 2.6, TDR = 1.9) and Mean Average Error (MAE, Watermark = 0.9, Tensiometer = 2.04. TDR = 1.04) for all tested sensors.

ACS Style

Monika Marković; Goran Krizmanić; Andrija Brkić; Atilgan Atilgan; Božica Japundžić-Palenkić; Davor Petrović; Željko Barač. Sustainable Management of Water Resources in Supplementary Irrigation Management. Applied Sciences 2021, 11, 2451 .

AMA Style

Monika Marković, Goran Krizmanić, Andrija Brkić, Atilgan Atilgan, Božica Japundžić-Palenkić, Davor Petrović, Željko Barač. Sustainable Management of Water Resources in Supplementary Irrigation Management. Applied Sciences. 2021; 11 (6):2451.

Chicago/Turabian Style

Monika Marković; Goran Krizmanić; Andrija Brkić; Atilgan Atilgan; Božica Japundžić-Palenkić; Davor Petrović; Željko Barač. 2021. "Sustainable Management of Water Resources in Supplementary Irrigation Management." Applied Sciences 11, no. 6: 2451.

Journal article
Published: 20 February 2020 in Plants
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Background: The seedling stage has received little attention in maize breeding to identify genotypes tolerant to water deficit. The aim of this study is to evaluate incorporation of seed weight (expressed as hundred kernel weight, HKW) as a covariate into genomic association and prediction studies for three biomass traits in a panel of elite inbred lines challenged by water withholding at seedling stage. Methods: 109 genotyped-by-sequencing (GBS) elite maize inbreds were phenotyped for HKW and planted in controlled conditions (16/8 day/night, 25 °C, 50% RH, 200 µMol/m2/s) in trays filled with soil. Plants in control (C) were watered every two days, while watering was stopped for 10 days in water withholding (WW). Fresh weight (FW), dry weight (DW), and dry matter content (DMC) were measured. Results: Adding HKW as a covariate increased the power of detection of associations in FW and DW by 44% and increased genomic prediction accuracy in C and decreased in WW. Conclusions: Seed weight was effectively incorporated into association studies for biomass traits in maize seedlings, whereas the incorporation into genomic predictions, particularly in water-stressed plants, was not worthwhile.

ACS Style

Vlatko Galić; Maja Mazur; Andrija Brkić; Josip Brkić; Antun Jambrović; Zvonimir Zdunić; Domagoj Šimić. Seed Weight as a Covariate in Association and Prediction Studies for Biomass Traits in Maize Seedlings. Plants 2020, 9, 275 .

AMA Style

Vlatko Galić, Maja Mazur, Andrija Brkić, Josip Brkić, Antun Jambrović, Zvonimir Zdunić, Domagoj Šimić. Seed Weight as a Covariate in Association and Prediction Studies for Biomass Traits in Maize Seedlings. Plants. 2020; 9 (2):275.

Chicago/Turabian Style

Vlatko Galić; Maja Mazur; Andrija Brkić; Josip Brkić; Antun Jambrović; Zvonimir Zdunić; Domagoj Šimić. 2020. "Seed Weight as a Covariate in Association and Prediction Studies for Biomass Traits in Maize Seedlings." Plants 9, no. 2: 275.