scholarly journals Changes in leaf water status in grapevine graftlings treated with growth regulators

2005 ◽  
Vol 50 (1) ◽  
pp. 27-32
Author(s):  
Slavica Todic ◽  
Z. Beslic
Keyword(s):  
Gibberellic Acid ◽  
Growth Regulators ◽  
Foliar Application ◽  
Water Status ◽  
Growth Inhibitor ◽  
Leaf Water ◽  
Total Water ◽  
Leaf Water Status ◽  
Vegetative Period ◽  
Relative Water

The effect of foliar application of plant growth regulators, paclobutrazol (1000 mg/L), chlorcholine chloride (200 mg/L) and gibberellic acid (100 mg/L) on leaf water status in grapevine graftlings of cv Cardinal was investigated. After stratification and waxing, young vines were planted into vegetation pots and grown in a glasshouse. Foliar treatments were applied once, twice or three times during the vegetative period, starting on 25 July and every 15 days thereafter. Values of total water potential (Tl) and of relative water content (RWC) were measured over the same period. Results indicate a tendency of increased TL values in leaves of plants repeatedly treated with a growth inhibitor paclobutrazol (-1.18 Mpa) compared with untreated (-1.36 Mpa) as well as plants treated twice with gibberellic acid (-1.37 Mpa). RWC in leaves was significantly increased in the second half of the vegetative period when paclobutrazol was applied twice (78%) in comparison with control (75%). Values of both investigated indices point to a more favorable water status of plants treated during the vegetative period with growth inhibitors compared with untreated and plants treated with gibberellic acid.

Assessment of flag leaf water status as drought tolerance discriminating trait in durum wheat (Triticum turgidum var durum L.)

2021 ◽  
Vol 2 (1) ◽  
pp. 016-027
Author(s):  
Hadda Mebarki ◽  
Ouassila Ziane ◽  
Hadjer Merbah ◽  
Hamenna Bouzerzour
Keyword(s):  
Water Content ◽  
Water Loss ◽  
Relative Water Content ◽  
Water Saturation ◽  
Water Status ◽  
Leaf Water ◽  
Leaf Water Status ◽  
Water Saturation Deficit ◽  
Saturation Deficit ◽  
Relative Water

Drought is a prominent limiting factor that impacts negatively durum wheat grain yield. Ten durum wheat breeding lines were evaluated under rainfall conditions at the Field Crop Institute Agricultural Experimental Station of Setif, Algeria, during the 2016/2017 cropping season. The investigation aimed to study the ability of flag leaf water status to discriminate among varieties for drought tolerance trait. Significant variability was observed among the tested varieties for leaf dry, wilted and turgid weights, leaf relative water content, water saturation deficit and excised water loss, after three wilting periods of 30, 60 and 90 minutes dehydration at 40°C. The assessed breeding lines were differentially categorized as drought tolerant and drought sensitive based on either relative water content or water saturation deficit or excised leaf water loss genotypic mean values. Correlation, principal components and cluster analyses indicated an unwanted significant association between excised leaf water loss and relative water content and water saturation deficit and classified the assessed entries into three clusters (CI, C2 and C3). Cluster C1 had high relative water content, low water saturation deficit but high excised water loss, while C3 had low relative water content, low excised leaf water but high-water saturation deficit, C2 being intermediate. Crosses between distant clusters (C1 vs C3) are proposed to generate more variability of the targeted traits in progeny population and to break undesirable linkage between alleles controlling leaf water status, allowing to select efficiently drought tolerant genotypes.

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

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

Visual estimation of plant water status in cereals

1979 ◽  
Vol 92 (1) ◽  
pp. 83-89 ◽  
Author(s):  
H. G. Jones
Keyword(s):  
Spring Wheat ◽  
Water Status ◽  
Plant Morphology ◽  
Leaf Water ◽  
Plant Water Status ◽  
Plant Water ◽  
Visual Estimation ◽  
Leaf Water Status ◽  
Visual Scoring ◽  
Breeding Programmes

SummaryThe potential offered for plant breeding programmes by visual scoring techniques for plant water status was investigated in rice and spring wheat. It was found that differing plant morphology could seriously bias visual estimates of leaf water potential, particularly in spring wheat. In spite of this problem, it was found that at least for rice, this type of approach may have potential in future breeding programmes where an estimate of leaf water status is required, such as those for drought tolerance, so long as a high intensity of selection is not necessary.

scholarly journals Diurnal Regulation of Leaf Water Status in High- and Low-Mannitol Olive Cultivars

Plants ◽  
2014 ◽  
Vol 3 (2) ◽  
pp. 196-208 ◽  
Author(s):  
Riccardo Bianco ◽  
Giuseppe Avellone
Keyword(s):  
Water Status ◽  
Leaf Water ◽  
Leaf Water Status ◽  
Olive Cultivars ◽  
Diurnal Regulation

Effect of rain shelters and drought on leaf water status and photosynthetic parameters in tomato

2015 ◽  
Vol 61 (9) ◽  
pp. 1273-1288 ◽  
Author(s):  
Guangcheng Shao ◽  
Min Yuan ◽  
Na Liu ◽  
Jianzhong Ji ◽  
Wenzheng Yu
Keyword(s):  
Water Status ◽  
Leaf Water ◽  
Photosynthetic Parameters ◽  
Leaf Water Status
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