Using hydrogel and clay to improve the water status of seedlings for dryland restoration

To arrive at a good status of all European water bodies is the main objective of the European Union (EU) Water Framework Directive (WFD). Since its adoption in 2000, the policy has fundamentally changed the institutional, procedural and organizational structures of Member States' water management, leading to an Europeanization of national legislation and decision-making structures. The case of WFD implementation in Schleswig-Holstein is an example of the policy's highly innovative governance architecture that unfortunately is not (yet) able to take that one last hurdle: to improve water quality and establish a good water status across EU Member States by 2015 or 2027.

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The Method of Plant Water Status Measurement in Sweet Potato (Ipomoea Batatas (L) Lam.)

Beccariana Botanical Research Bulletin ◽

10.30862/bbrp.v7i1.274 ◽

2010 ◽

Vol 7 (1) ◽

Author(s):

Saraswati Prabawardani

Keyword(s):

Water Content ◽

Sweet Potato ◽

Relative Water Content ◽

Water Status ◽

Plant Water Status ◽

Equilibration Time ◽

Plant Water ◽

Font Size ◽

Potato Leaf ◽

Relative Water

The measurement of plant water status such as leaf water potential (LWP) and leaf relative water content (RWC) is important part of understanding plant physiology and biomass production. Preliminary study was made to determine the optimum amount of leaf abrasion and equilibration time of sweet potato leaf inside the thermocouple psychrometer chambers. Based on the trial, the standard equilibration time curve of a Peltier thermocouple for sweet potato leaf was between 2 and 3 hours. To increase the water vapour conductance across the leaf epidermis the waxy leaf cuticle should be removed or broken by abrasion. The result showed that 4 times leaf rubbings was accepted as the most effective way to increase leaf vapour conductance of sweet potato in the psychrometer chambers. In calculating the leaf relative water content, unstressed water of sweet potato leaves require 4 hours imbibition, whereas water stressed of sweet potato leaves require 5 to 6 hours to reach the saturation time. Either leaf water potential or relative water content can be used as a parameter for plant water status in sweet potato.

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Monitoring Crop Water Status and Irrigation Needs Using Multispectral Airborne Sensors

HortScience ◽

10.21273/hortsci.30.4.905d ◽

1995 ◽

Vol 30 (4) ◽

pp. 905D-905

Author(s):

Thomas R. Clarke ◽

M. Susan Moran

Keyword(s):

Water Stress ◽

Near Infrared ◽

Water Status ◽

Canopy Cover ◽

Stress Index ◽

Crop Water ◽

Vegetative Cover ◽

Crop Water Stress Index ◽

Water Stress Index ◽

Subsurface Drip

Water application efficiency can be improved by directly monitoring plant water status rather than depending on soil moisture measurements or modeled ET estimates. Plants receiving sufficient water through their roots have cooler leaves than those that are water-stressed, leading to the development of the Crop Water Stress Index based on hand-held infrared thermometry. Substantial error can occur in partial canopies, however, as exposed hot soil contributes to deceptively warm temperature readings. Mathematically comparing red and near-infrared reflectances provides a measure of vegetative cover, and this information was combined with thermal radiance to give a two-dimensional index capable of detecting water stress even with a low percentage of canopy cover. Thermal, red, and near-infrared images acquired over subsurface drip-irrigated cantaloupe fields demonstrated the method's ability to detect areas with clogged emitters, insufficient irrigation rate, and system water leaks.

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Plant Water Status in Relation to Clouds 1

Agronomy Journal ◽

10.2134/agronj1973.00021962006500040045x ◽

1973 ◽

Vol 65 (4) ◽

pp. 677-678 ◽

Cited By ~ 15

Author(s):

J. R. Stansell ◽

Betty Klepper ◽

V. Douglas Browning ◽

H. M. Taylor

Keyword(s):

Water Status ◽

Plant Water Status ◽

Plant Water

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Simulation Model for Studying Dynamics of Water Flow and Water Status in Plants

Crop Science ◽

10.2135/cropsci1991.0011183x003100020033x ◽

1991 ◽

Vol 31 (2) ◽

pp. 391-398 ◽

Cited By ~ 6

Author(s):

C. J. Fernández ◽

K. J. McCree

Keyword(s):

Simulation Model ◽

Water Flow ◽

Water Status

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White Clover Seed Production: II. Soil and Plant Water Status on Yield and Yield Components

Crop Science ◽

10.2135/cropsci1994.0011183x003400030030x ◽

1994 ◽

Vol 34 (3) ◽

pp. 768-774 ◽

Cited By ~ 10

Author(s):

R. N. Oliva ◽

J. J. Steiner ◽

W. C. Young

Keyword(s):

Seed Production ◽

White Clover ◽

Yield Components ◽

Water Status ◽

Plant Water Status ◽

Plant Water ◽

Yield And Yield Components ◽

Clover Seed

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Survival and recovery of perennial forage grasses under prolonged Mediterranean drought: II. Water status, solute accumulation, abscisic acid concentration and accumulation of dehydrin transcripts in bases of immature leaves

New Phytologist ◽

10.1046/j.1469-8137.1998.00287.x ◽

1998 ◽

Vol 140 (3) ◽

pp. 451-460 ◽

Cited By ~ 45

Author(s):

FLORENCE VOLAIRE ◽

HENRY THOMAS ◽

NADIA BERTAGNE ◽

EMMANUELLE BOURGEOIS ◽

MARIE-FRANCOISE GAUTIER ◽

...

Keyword(s):

Abscisic Acid ◽

Acid Concentration ◽

Water Status ◽

Forage Grasses ◽

Solute Accumulation

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Employment of artificial neural networks for non-invasive estimation of leaf water status using color features: a case study in Spathiphyllum wallisii

Acta Physiologiae Plantarum ◽

10.1007/s11738-021-03244-y ◽

2021 ◽

Vol 43 (5) ◽

Author(s):

Amin Taheri-Garavand ◽

Abdolhossein Rezaei Nejad ◽

Dimitrios Fanourakis ◽

Soodabeh Fatahi ◽

Masoumeh Ahmadi Majd

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Water Status ◽

Leaf Water ◽

Leaf Water Status ◽

Non Invasive ◽

Color Features ◽

Artificial Neural

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Understanding Vine Hyperspectral Signature through Different Irrigation Plans: A First Step to Monitor Vineyard Water Status

Remote Sensing ◽

10.3390/rs13030536 ◽

2021 ◽

Vol 13 (3) ◽

pp. 536

Author(s):

Eve Laroche-Pinel ◽

Mohanad Albughdadi ◽

Sylvie Duthoit ◽

Véronique Chéret ◽

Jacques Rousseau ◽

...

Keyword(s):

Near Infrared ◽

Water Status ◽

Vegetation Indices ◽

Remote Sensing Data ◽

Short Wave ◽

Spatial And Temporal Scales ◽

Spectral Bands ◽

Main Challenge ◽

Spectral Scale ◽

Grape Varieties

The main challenge encountered by Mediterranean winegrowers is water management. Indeed, with climate change, drought events are becoming more intense each year, dragging the yield down. Moreover, the quality of the vineyards is affected and the level of alcohol increases. Remote sensing data are a potential solution to measure water status in vineyards. However, important questions are still open such as which spectral, spatial, and temporal scales are adapted to achieve the latter. This study aims at using hyperspectral measurements to investigate the spectral scale adapted to measure their water status. The final objective is to find out whether it would be possible to monitor the vine water status with the spectral bands available in multispectral satellites such as Sentinel-2. Four Mediterranean vine plots with three grape varieties and different water status management systems are considered for the analysis. Results show the main significant domains related to vine water status (Short Wave Infrared, Near Infrared, and Red-Edge) and the best vegetation indices that combine these domains. These results give some promising perspectives to monitor vine water status.

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