scholarly journals Identification of Water Usage Efficiency for Corn (Zea mays L.) Lines Irrigated with Drip Irrigation Under Green House Conditions as Per Plant Water Stress Index Evaluations

2017 ◽  
pp. 1-1 ◽  
Author(s):  
Ali Beyhan UÇAK
Keyword(s):  
Zea Mays ◽  
Water Stress ◽  
Drip Irrigation ◽  
Zea Mays L ◽  
Stress Index ◽  
Plant Water ◽  
Water Usage ◽  
Plant Water Stress ◽  
Water Stress Index ◽  
Usage Efficiency

scholarly journals Evaluation of the Crop Water Stress Index as an Indicator for the Diagnosis of Grapevine Water Deficiency in Greenhouses

Horticulturae ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. 86
Author(s):  
Chen Ru ◽  
Xiaotao Hu ◽  
Wene Wang ◽  
Hui Ran ◽  
Tianyuan Song ◽  
...  
Keyword(s):  
Water Stress ◽  
Water Status ◽  
Leaf Temperature ◽  
Stress Index ◽  
Plant Water ◽  
Crop Water ◽  
Crop Water Stress Index ◽  
Water Stress Index ◽  
The Relationship ◽  
Crop Water Stress

Precise irrigation management of grapevines in greenhouses requires a reliable method to easily quantify and monitor the grapevine water status to enable effective manipulation of the water stress of the plants. This study evaluated the applicability of crop water stress index (CWSI) based on the leaf temperature for diagnosing the grapevine water status. The experiment was conducted at Yuhe Farm (northwest China), with drip-irrigated grapevines under three irrigation treatments. Meteorological factors, soil moisture contents, leaf temperature, growth indicators including canopy coverage and fruit diameter, and physiological indicators including SPAD (relative chlorophyll content), stem water potential (φs), stomatal conductance (gs), and transpiration rate (E) were studied during the growing season. The results show that the relationship between the leaf-air temperature difference (Tc-Ta) and the plant water status indicators (φs, gs, E) were significant (P < 0.05), and the relationship between gs, E and Tc-Ta was the closest, with R2 values ranging from 0.530–0.604 and from 0.545–0.623, respectively. CWSI values are more easily observed on sunny days, and it was determined that 14:00 BJS is the best observation time for the CWSI value under different non-water-stressed baselines. There is a reliable linear correlation between the CWSI value and the soil moisture at 0–40 cm (P < 0.05), which could provide a reference when using the CWSI to diagnose the water status of plants. Compared with the Tc-Ta value, the CWSI could more accurately monitor the plant water status, and above the considered indictors, gs has the greatest correlation with the CWSI.

Crop water stress index for potato under furrow and drip irrigation systems

2005 ◽  
Vol 48 (1-2) ◽  
pp. 49-58 ◽  
Author(s):  
Tolga Erdem ◽  
A. Halim Orta ◽  
Yeşim Erdem ◽  
Hakan Okursoy
Keyword(s):  
Water Stress ◽  
Drip Irrigation ◽  
Stress Index ◽  
Crop Water ◽  
Crop Water Stress Index ◽  
Irrigation Systems ◽  
Water Stress Index ◽  
Crop Water Stress

WATER EXTRACTION PATTERNS AND DEVELOPMENT OF PLANT WATER DEFICITS IN CORN

1985 ◽  
Vol 65 (4) ◽  
pp. 921-933 ◽  
Author(s):  
L. M. DWYER ◽  
D. W. STEWART
Keyword(s):  
Zea Mays ◽  
Water Stress ◽  
Water Potential ◽  
Water Content ◽  
Soil Water ◽  
Leaf Area ◽  
Water Use ◽  
Zea Mays L ◽  
Leaf Water ◽  
Plant Water

Water extraction patterns and plant water deficits for corn (Zea mays L.) were measured and related to development of aboveground biomass, leaf area and root density under different irrigation schedules in controlled chambers. A multi-layer transpiration model, based on an Ohm’s Law analogy, simulated the water uptake processes and predicted leaf water potential and soil water content through time. Comparison of measurements and model predictions of plant and soil water status tested our understanding of the principles involved in plant water use which resulted in growth differences. The experiment involved 48 planted cylinders plus controls; half were well-watered and maintained at or above field capacity and half were allowed to dry to near the wilting point. Over 6 wk, water stress reduced above-ground biomass and leaf area, but enhanced root growth over that of well-watered plants. This reflected the preferential allocation of photosynthate to the root when soil water became limiting. Measured leaf water potentials fell below the level for stomatal closure of the chamber population. The model also predicted a degree of water stress (midday leaf water potential of −1.48 MPa) that would increase stomatal resistance and restrict transpiration and photosynthesis. Measurements and predictions of soil water content over time were generally in good agreement. The model is therefore considered useful in describing water use patterns under controlled conditions.Key words: Zea mays L., transpiration, water use modelling, plant water stress, dry matter partitioning

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