Bacterial amelioration of ferulic acid toxicity to hydroponically grown lettuce (Lactuca sativa L.)

2000 ◽  
Vol 32 (8-9) ◽  
pp. 1063-1070 ◽  
Author(s):  
Siri Caspersen ◽  
Beatrix Waechter Alsanius ◽  
Peter Sundin ◽  
Paul Jensén
Keyword(s):  
Ferulic Acid ◽  
Lactuca Sativa ◽  
Lactuca Sativa L ◽  
Hydroponically Grown ◽  
Acid Toxicity

scholarly journals EC Sensitivity of Hydroponically-Grown Lettuce (Lactuca sativa L.) Types in Terms of Nitrate Accumulation

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 315
Author(s):  
Noémi Kappel ◽  
Ildikó Fruzsina Boros ◽  
Francia Seconde Ravelombola ◽  
László Sipos
Keyword(s):  
Lactuca Sativa ◽  
Nitrate Content ◽  
Saline Condition ◽  
Fresh Weight ◽  
Nitrate Level ◽  
Nitrate Accumulation ◽  
Strong Negative Correlation ◽  
Lactuca Sativa L ◽  
Hydroponically Grown ◽  
European Markets

The goal of this research was to investigate the effect of electrical conductivity (EC) levels of the nutrient solution on the fresh weight, chlorophyll, and nitrate content of hydroponic-system-grown lettuce. The selected cultivars are the most representative commercial varieties grown for European markets. Seven cultivars (‘Sintia,’ ‘Limeira,’ ‘Corentine,’ ‘Cencibel,’ ‘Kiber,’ ‘Attiraï,’ and ‘Rouxaï’) of three Lactuca sativa L. types’ (butterhead, loose leaf, and oak leaf) were grown in a phytotron in rockwool, meanwhile the EC level of the nutrient solutions were different: normal (<1.3 dS/m) and high (10 dS/m). The plants in the saline condition had a lower yield but elevated chlorophyll content and nitrate level, although the ‘Limeira’ and ‘Cencibel’ cultivars had reduced nitrate levels. The results and the special characteristic of the lollo-type cultivars showed that the nitrate level could be very different due to salinity (‘Limeira’ had the lowest (684 µg/g fresh weight (FW)) and ‘Cencibel’ had the highest (4396 µg/g FW)). There was a moderately strong negative correlation (−0.542) in the reverse ratio among the chlorophyll and nitrate contents in plants treated with a normal EC value, while this relationship was not shown in the saline condition. Under the saline condition, cultivars acted differently, and all examined cultivars stayed under the permitted total nitrate level (5000 µg/g FW).

scholarly journals Intraspecific Variability Largely Affects the Leaf Metabolomics Response to Isosmotic Macrocation Variations in Two Divergent Lettuce (Lactuca sativa L.) Varieties

Plants ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 91
Author(s):  
Giandomenico Corrado ◽  
Luigi Lucini ◽  
Begoña Miras-Moreno ◽  
Leilei Zhang ◽  
Christophe El-Nakhel ◽  
...  
Keyword(s):  
Lactuca Sativa ◽  
Plant Secondary Metabolites ◽  
Intraspecific Variability ◽  
Mineral Elements ◽  
Yield And Quality ◽  
Lactuca Sativa L ◽  
Adaptive Mechanisms ◽  
Health Related ◽  
Multiple Mineral ◽  
Hydroponically Grown

Mineral elements are essential for plant growth and development and strongly affect crop yield and quality. To cope with an everchanging environment, plants have developed specific responses to combined nutrient variations. In this work, we investigated the effects of multifactorial treatments with three macrocations (K, Ca, and Mg) on lettuce (Lactuca sativa L.) varieties that strongly diverge in leaf pigmentation (full red or green). Specifically, we monitored main leaf parameters and metabolomics profiles of hydroponically grown plants fed with isosmotic nutrient solutions that have different proportions of macroelements. The result revealed a high biochemical plasticity of lettuce, significantly affected by the genotype, the nutrient solution, and their interaction. Our work also provided evidence and insights into the different intraspecific responses to multifactorial variation of macrocations, with two varieties having distinct strategies to metabolically respond to nutrient variation. Overall, plant adaptive mechanisms increased the phytochemical diversity between the varieties both among and within the main classes of plant secondary metabolites. Finally, our work also implies that the interaction of a pre-existing phytochemical diversity with the management of multiple mineral elements can offer added health-related benefits to the edible product specific to the variety.

scholarly journals Effects of Ethylene Diamine Disuccinic Acid (EDDS) on lead (Pb2+) and cadmium (Cd2+) uptake by lettuce (Lactuca sativa L.) seedlings planted in hydroponic solutions

2020 ◽  
Vol 12 (1) ◽  
pp. 426-434
Author(s):  
M.S. Dagari ◽  
M.S. Musa ◽  
F.M. Maude
Keyword(s):  
Lactuca Sativa ◽  
Research Work ◽  
Ethylene Diamine ◽  
High Concentration ◽  
Constant Concentration ◽  
Lactuca Sativa L ◽  
Dry Ashing ◽  
Cadmium And Lead ◽  
Hydroponically Grown ◽  
Very High

This research work was carried out to investigate the effects of ethylene diamine disuccinate (EDDS) on the absorption of cadmium and lead by hydroponically grown lettuce (Lactuca sativa L.). Samples were prepared through digestion (dry ashing) method and the analytes quantitatively analyzed using Atomic Absorption Spectrophotometric (AAS) technique. The effects of EDDS on Pb2+ and Cd2+ uptake by lettuce (Lactuca sativa L.) seedlings replanted in hydroponic solutions for 72 hr in a greenhouse were investigated. Two months old seedlings were exposed to various doses of Pb2+ and Cd2+ at constant concentration of EDDS. For unchelated treatments, increase in concentrations of Pb2+ and Cd2+ in the solution increases the uptake by the plants relative to control.  Pb2+ contents in the roots showed more accumulation than in shoots (p<0.05) while Cd2+ content in the shoots was higher than in roots.  Addition of 0.0025M EDDS to the solutions of Pb2+ and Cd2+ inhibits the uptake of the metal ions at the following concentrations (0.0025, 0.005 and 0.0075 mg/L) when compared to unchelated treatments of same concentrations. At 0.025 mg/L of Pb2+ and Cd2+, chelation substantially enhances their uptakes in both shoot and root of the plant (p<0.05).  Compared to the unchelated treatments, chelation suppresses the translocation of Pb2+ and Cd2+ to the shoots of the plant (p<0.05), but there was a better translocation of Pb2+ (1.257) and Cd2+ (0.953) at 0.025 mg/L, thus indicating that, at very high concentration of the metals the plant was hyper-accumulator. For hydroponic solutions containing the combination of both metals; Pb2+ + Cd2+, Pb2+ uptake was more in the roots than in the shoots while Cd2+ content in the shoots showed more absorption than the roots for both chelated and unchelated treatments. Also, it was observed that chelation suppresses the uptake of Pb2+ and Cd2+ in the presence of one another by both root and shoot. Furthermore, increasing the concentrations of Pb2+ + Cd2+ in chelated treatments of hydroponic solutions results to a better translocation of Pb2+ while the translocation of Cd2+ to the shoot was enhanced. Generally, addition of EDDS to the hydroponic mixtures affected to a large extent the availability of Pb2+ and Cd2+ to the growing seedlings. Keywords: Ethylene diamine disuccinate, greenhouse, hydroponic solution, lettuce, metals.  

scholarly journals Effect of Harpin protein as an elicitor on the content of phenolic compounds and antioxidant capacity in two hydroponically grown lettuce (Lactuca sativa L.) varieties.

2019 ◽  
Vol 39 (1) ◽  
pp. 72-77 ◽  
Author(s):  
Joaquín RODRIGO-GARCÍA ◽  
Benjamín Alejandro NAVARRETE-LABORDE ◽  
Laura Alejandra de la ROSA ◽  
Emilio ALVAREZ-PARRILLA ◽  
José Alberto NÚÑEZ-GASTÉLUM
Keyword(s):  
Phenolic Compounds ◽  
Antioxidant Capacity ◽  
Lactuca Sativa ◽  
Lactuca Sativa L ◽  
Harpin Protein ◽  
Hydroponically Grown

scholarly journals Deep Learning Models to Determine Nutrient Concentration in Hydroponically Grown Lettuce Cultivars (Lactuca sativa L.)

2021 ◽  
Vol 14 (1) ◽  
pp. 416
Author(s):  
Mostofa Ahsan ◽  
Sulaymon Eshkabilov ◽  
Bilal Cemek ◽  
Erdem Küçüktopcu ◽  
Chiwon W. Lee ◽  
...  
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
Lactuca Sativa ◽  
Precision Agriculture ◽  
Network Models ◽  
Nutrient Concentrations ◽  
Neural Network Models ◽  
Nutrient Levels ◽  
Lactuca Sativa L ◽  
Hydroponically Grown

Deep learning (DL) and computer vision applications in precision agriculture have great potential to identify and classify plant and vegetation species. This study presents the applicability of DL modeling with computer vision techniques to analyze the nutrient levels of hydroponically grown four lettuce cultivars (Lactuca sativa L.), namely Black Seed, Flandria, Rex, and Tacitus. Four different nutrient concentrations (0, 50, 200, 300 ppm nitrogen solutions) were prepared and utilized to grow these lettuce cultivars in the greenhouse. RGB images of lettuce leaves were captured. The results showed that the developed DL’s visual geometry group 16 (VGG16) and VGG19 architectures identified the nutrient levels of lettuces with 87.5 to 100% accuracy for four lettuce cultivars, respectively. Convolution neural network models were also implemented to identify the nutrient levels of the studied lettuces for comparison purposes. The developed modeling techniques can be applied not only to collect real-time nutrient data from other lettuce type cultivars grown in greenhouses but also in fields. Moreover, these modeling approaches can be applied for remote sensing purposes to various lettuce crops. To the best knowledge of the authors, this is a novel study applying the DL technique to determine the nutrient concentrations in lettuce cultivars.

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