scholarly journals Relation between leaf area and dimensions of selected medicinal plants

2012 ◽  
Vol 51 (No. 1) ◽  
pp. 13-19 ◽  
Author(s):  
C. Çırak ◽  
M. S Odabaş ◽  
B. Sağlam ◽  
A. K Ayan
Keyword(s):  
Medicinal Plants ◽  
Leaf Area ◽  
Prediction Models ◽  
Leaf Length ◽  
Urtica Dioica ◽  
Nerium Oleander ◽  
Mentha Piperita ◽  
Black Sea Region ◽  
Package Program ◽  
Origanum Onites

In this research, leaf area prediction models were developed for some leaf-used medicinal plants namely Calamintha nepeta, Datura stromonium, Melissa officinalis, Mentha piperita, Nerium oleander, Origanum onites and Urtica dioica growing wild in Black Sea region of Turkey. Lamina width, length and leaf area were measured non-destructively to develop the models. The actual leaf areas of the plants were measured by PLACOM Digital Planimeter, and multiple regression analysis with Excel 7.0 computer package program was performed for the plants separately. The produced leaf area prediction models in the present study were formulized as LA = (a) + (b<sub>1</sub> &times; L) + [(b<sub>2</sub> &times; (L &times; W)]&nbsp; + (b<sub>3</sub> &times; L<sup>2</sup>) + (b<sub>4</sub> &times; W<sup>2</sup>) + [b<sub>5</sub> &times; (L &times; W<sup>2</sup>)] + [b<sub>6</sub> &times; (L<sup>2</sup> &times; W)] + [b<sub>7</sub> &times; (L<sup>2</sup> &times; W<sup>2</sup>)] where LA&nbsp;is leaf area, W&nbsp;is leaf width, L is leaf length and a, b<sub>1</sub>, b<sub>2</sub>, b<sub>3</sub>, b<sub>4</sub>, b<sub>5</sub>, b<sub>6</sub>, and b<sub>7</sub> are coefficients. R<sup>2</sup> values for medicinal plants tested varied with species from 0.82 in Origanum onites to 0.98 in Urtica dioica. All R&sup2; values and standard errors were found to be significant at the P &lt; 0.001 level.

scholarly journals Models for prediction of individual leaf area of forage legumes

Revista CERES ◽  
2018 ◽  
Vol 65 (2) ◽  
pp. 204-209
Author(s):  
Hygor Amaral Santana ◽  
Brunna Rithielly Rezende ◽  
Wilhan Valasco dos Santos ◽  
Anderson Rodrigo da Silva
Keyword(s):  
Leaf Area ◽  
Prediction Models ◽  
Digital Images ◽  
R Package ◽  
Leaf Length ◽  
Linear Regression Models ◽  
Forage Legumes ◽  
R Software ◽  
Individual Leaf ◽  
Essential Variable

ABSTRACT Leaf area is an essential variable for the quantification of other important leaf characteristics in physiological studies of plants, such as normalized photosynthetic rate and normalized phosphorus content. That is one of the reasons for the need of fast and accurate methods to estimate leaf area. The objective of this work was to fit linear or non-linear regression models to predict the individual leaf area of six species of forage legumes, based on digital images analyzed with the package LeafArea, R software. In a field experiment, 100 leaves were randomly collected from the following species: Crotalaria juncea (L.), Canavalia ensiformis (L.), Cajanus cajan (L.), Dolichos lablab (L.), Mucuna cinereum (L.), and Mucuna aterrima (Piper & Tracy) Merr., in which the central leaflet length and width were measured. Afterwards, digital images of each leaf were processed in R software for leaf area estimation. These estimates were used to fit leaf area prediction models; in fact, seventy leaves were used to fit the models; the rest of them were used for model validation. For the six species, the complete second-degree polynomial model, or derivative submodels, can be used to predict leaf area as a function of length and width of the central leaflet, presenting R² above 0.98 and percentage absolute mean error below 9%. In these models, the effect of leaf width is generally greater than the leaf length. The R package LeafArea showed to be a very efficient tool for the estimation of leaf area through the execution of the software ImageJ, with high precision and easy calibration.

scholarly journals The Investigation of Decontamination Effects of Ozone Gas on Microbial Load and Essential Oil of Several Medicinal Plants

2013 ◽  
Vol 5 (1) ◽  
pp. 34-38 ◽  
Author(s):  
Razieh VALI ASILL ◽  
Majid AZIZI ◽  
Maasome BAHREINI ◽  
Hossein AROUIEE
Keyword(s):  
Medicinal Plants ◽  
Essential Oil ◽  
Block Design ◽  
Microbial Load ◽  
Mentha Piperita ◽  
Gas Treatment ◽  
Zataria Multiflora ◽  
Gas Concentration ◽  
Mold And Yeast ◽  
And Control

Today, Ozone as a disinfectant method, without putting on the harmful effects on human and plant products, it is alternative common methods for disinfection of plant material. The research as a factorial experiment was conducted on the basis of randomized complete block design with three replications and the effects of Ozone gas on decreasing the microbial load of some important medicinal plants include: Peppermint (Mentha piperita), Summer savory (Satureja hortensis), Indian valerian(Valeriana wallichii), Meliss (Melissa officinalis) and Iranian thyme (Zataria multiflora) were investigated. Medicinal plants leaves were treated with Ozone gas concentration 0.3, 0.6 and 0.9 ml/L at times of 10 and 30 then total count, coliform and mold and yeast of the samples were studied. The result showed that Ozone gas decreases microbial load of medicinal plants samples. But Ozone gas and Ozone gas in medicinal plants interaction effect had no effect on essential oil content. The lowest and the highest of microbial load were detected in samples treated with concentration of 0.9 ml/L of Ozone gas and control respectively. The highest and the lowest of microbial load were observed in Iranian thyme and Indian valerian respectively. Also result showed that Ozone gas treatment for 30 min had the greatest of effect in reducing the microbial load and 0.9 ml/L Ozone gas concentration had the lowest of microbial load. Results of this survey reflect that the use of Ozone as a method of disinfection for medicinal plants is a decontamination.

scholarly journals Assessment of Growth Characteristics of Medicinal Plants Ocimum tenuiflorum L. and Plectranthus amboinicus (Lour.) Spreng. Under Shade Net and Open Conditions

2020 ◽  
pp. 1-8
Author(s):  
J. Ambujavalli ◽  
K. Santhiya ◽  
K. Rohini ◽  
V. Kumaresan
Keyword(s):  
Medicinal Plants ◽  
Leaf Area ◽  
Plant Height ◽  
Growth Characteristics ◽  
Similar Type ◽  
Potted Plants ◽  
Ocimum Tenuiflorum ◽  
Number Of Leaves ◽  
Plectranthus Amboinicus ◽  
Microclimate Conditions

Aim: To study the effect of shade net on the growth characteristics of two medicinal plants viz., Tulsi and Indian Borage in terms of plant height, number of leaves, leaf area and flowering in relation to open condition. Place and Duration of Study: Lawspet, Puducherry, India between June 2018 and October 2018. Methodology: Tulsi and Indian Borage plants were grown in similar type of soil. The potted plants were kept in open, 35% and 75% shade net conditions and studied for 3 months. The plant height, number of leaves, and leaf area were measured including number of inflorescence branches for Tulsi. Results: The average air temperature was lower under shade net. Relative humidity was more in shade net conditions with maximum in 75% shade and least in open conditions. The number of leaves of Tulsi and Indian Borage recorded was maximum when grown under 35% shade and least in open conditions. Plant height was maximum in 75% shade for Tulsi and 35% shade in Indian Borage and least in open conditions on both the cases. Leaf area was maximum for both Tulsi and Indian Borage in 75% shade. Conclusion: Growth of the two medicinal plants was influenced by the microclimate conditions. The present study shows that the medicinal plants can be grown in shade net conditions to increase the yield of medicinally useful parts.

scholarly journals Immunity Boosting Medicinal Plants to Beat Covid -19 in Seraj Block of Mandi District, Himachal Pradesh

2021 ◽  
Vol 2 (4) ◽  
pp. 44-56
Author(s):  
Manju Lata ◽  
Mohammad Jamali
Keyword(s):  
Clinical Trials ◽  
Drug Therapy ◽  
Medicinal Plants ◽  
Curcuma Longa ◽  
Taraxacum Officinale ◽  
Urtica Dioica ◽  
Ocimum Sanctum ◽  
Wide Range ◽  
Herbal Plants ◽  
Near Future

Purpose: This study aimed to document the present status of medicinal plants used to boost the immunity to combat Coronavirus. Materials and Methods: For the assessment and use of herbs during the Covid 19 pandemic, surveys were conducted in different villages of  Seraj block. The surveys were conducted during the spread of the pandemic from 2020 to 2021. Local people were interviewed and information on the utilization of local herbs during this pandemic was recorded. Information on parts used, the procedure of use, habit, habitat, etc. was also collected. Results: A total of 58 species of medicinal plants from 27 families and 42 genera were documented. Among them, the most dominant family was Rosaceae.  Most of the plants such as Morchella sp, Naustratium officinale,Taraxacum officinale ,Urtica dioica ,Allium sp,Withania foraminifera, Curcuma longa, Cannabis, Mentha, Ocimum sanctum are rich in antioxidants and have a wide range of medicinal values used to treat cough, cold, fever, and bronchitis. All these plants were used traditionally to boost immunity. Due to the covid -19 pandemic, the utilization of these herbal plants has increased many folds in the area. These medicinal plants should be made available to scientists to design clinical trials. Integration of this concept would certainly develop drug therapy in the near future. Conclusion: The study found that the use of medicinal plants has increased during COVID-19 and most of the respondents recommended medicinal plants to prevent COVID-19 and to boost immunity. More studies should be conducted to develop certain formulations.

scholarly journals Determining Water Use and Crop Coefficients of Five Woody Landscape Plants

2006 ◽  
Vol 24 (3) ◽  
pp. 160-165 ◽  
Author(s):  
G. Niu ◽  
D.S. Rodriguez ◽  
R. Cabrera ◽  
C. McKenney ◽  
W. Mackay
Keyword(s):  
Leaf Area ◽  
Water Use ◽  
Culture System ◽  
Growth Parameters ◽  
Growth Index ◽  
Crop Coefficient ◽  
Nerium Oleander ◽  
Culture Systems ◽  
Unit Leaf ◽  
Crop Coefficients

Abstract The water use and crop coefficient of five woody landscape species were determined by growing the shrubs both in 56-liter (15 gal) drainage lysimeters and in above-ground 10-liter containers (#3). Water use per plant, crop coefficient and overall growth parameters differed by species and culture system. Of the five species tested, Buddleia davidii ‘Burgundy’ and Nerium oleander ‘Hardy Pink’ had higher water use per plant in the lysimeters than in the containers. Water use per plant for Abelia grandiflora ‘Edward Goucher’, Euonymus japonica and Ilex vomitoria ‘Pride of Houston’ was the same for the two culture systems. Crop coefficient and growth index of A. grandiflora, E. japonica, and I. vomitoria was similar between the two systems. The growth index of B. davidii and N. oleander was much higher in the lysimeters than in the containers. Abelia grandiflora and E. japonica had more growth in the containers than in the lysimeters while I. vomitoria had slightly larger leaf area in the lysimeters than in the containers. The culture system did not affect the water use per unit leaf area of all species. Therefore, our results indicated that by quantifying the leaf area, the plant water use in the two culture systems is exchangeable.

scholarly journals A General Leaf Area Geometric Formula Exists for Plants—Evidence from the Simplified Gielis Equation

Forests ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 714 ◽  
Author(s):  
Peijian Shi ◽  
David Ratkowsky ◽  
Yang Li ◽  
Lifang Zhang ◽  
Shuyan Lin ◽  
...  
Keyword(s):  
Leaf Area ◽  
Leaf Shape ◽  
Leaf Length ◽  
Actual Length ◽  
Small Deviations ◽  
Geographical Populations ◽  
Functional Features ◽  
Different Shapes ◽  
Object Shapes ◽  
Arbitrary Polygon

Plant leaves exhibit diverse shapes that enable them to utilize a light resource maximally. If there were a general parametric model that could be used to calculate leaf area for different leaf shapes, it would help to elucidate the adaptive evolutional link among plants with the same or similar leaf shapes. We propose a simplified version of the original Gielis equation (SGE), which was developed to describe a variety of object shapes ranging from a droplet to an arbitrary polygon. We used this equation to fit the leaf profiles of 53 species (among which, 48 bamboo plants, 5 woody plants, and 10 geographical populations of a woody plant), totaling 3310 leaves. A third parameter (namely, the floating ratio c in leaf length) was introduced to account for the case when the theoretical leaf length deviates from the observed leaf length. For most datasets, the estimates of c were greater than zero but less than 10%, indicating that the leaf length predicted by the SGE was usually smaller than the actual length. However, the predicted leaf areas approximated their actual values after considering the floating ratios in leaf length. For most datasets, the mean percent errors of leaf areas were lower than 6%, except for a pooled dataset with 42 bamboo species. For the elliptical, lanceolate, linear, obovate, and ovate shapes, although the SGE did not fit the leaf edge perfectly, after adjusting the parameter c, there were small deviations of the predicted leaf areas from the actual values. This illustrates that leaves with different shapes might have similar functional features for photosynthesis, since the leaf areas can be described by the same equation. The anisotropy expressed as a difference in leaf shape for some plants might be an adaptive response to enable them to adapt to different habitats.

scholarly journals Effect of Prior Heat Stress on the Early Growth of Carica papaya

2013 ◽  
Vol 5 (4) ◽  
pp. 508-512
Author(s):  
Gideon Olarewaju OKUNLOLA ◽  
Adekunle Ajayi ADELUSI
Keyword(s):  
Heat Stress ◽  
Leaf Area ◽  
Carica Papaya ◽  
Growth Parameters ◽  
Dry Weight ◽  
Experimental Period ◽  
Leaf Length ◽  
Fresh Weight ◽  
Shoot Height ◽  
Chlorophylls A And B

The experiment was carried out to determine the effects of heat stress on some growth parameters like shoot height, leaf area, fresh weight, dry weight as well as the accumulation of chlorophylls in Carica papaya. Seedlings of C. papaya were exposed to prior heat stress at 40 °C. A group of plants was placed in a Gallenkamp oven for four hours; another group of plants was placed in the oven for eight hours while the third group of plants was placed in a dark cupboard for the period of eight hours. Sampling was carried out at weekly intervals starting from seven days after treatment. Plants were randomly picked from each of the three treatments. Three replicates were used for each parameter. The results obtained from the study showed that there was an increment in the shoot height, leaf area, fresh weight and dry weight from the beginning to the end of the experimental period. However, the accumulation of chlorophylls did not follow a particular pattern. The analysis of variance carried out on the data obtained showed that heat stress had a significant effect on the petiole length, shoot height, leaf length, leaf width, leaf area, fresh weight and dry weight. Heat stress, however, did not produce a significant effect on the accumulation of chlorophylls a and b and total chlorophyll.

scholarly journals Estimation of total leaf area and D leaf area of pineapple from biometric characteristics

2018 ◽  
Vol 40 (6) ◽  
Author(s):  
Marlúcia Pereira dos Santos ◽  
Victor Martins Maia ◽  
Fernanda Soares Oliveira ◽  
Rodinei Facco Pegoraro ◽  
Silvânio Rodrigues dos Santos ◽  
...  
Keyword(s):  
Leaf Area ◽  
Regression Models ◽  
Carbon Fixation ◽  
Pearson Correlation ◽  
Leaf Length ◽  
Total Leaf Area ◽  
Total Leaf ◽  
Pearson Correlation Analysis ◽  
Biometric Measurements ◽  
Non Destructive

Abstract The estimation of pineapple total leaf area by simple, fast and non-destructive methods allow inferences related to carbon fixation estimative, biotic and abiotic damages and correlating positively with yield. The objective was to estimate D leaf area and total leaf area and of ‘Pérola’ pineapple plants from biometric measurements. For this purpose, 125 slips were selected and standardized by weight for planting in pots. Nine months after planting in a greenhouse, the plants were harvested to evaluate the total leaf area of the plant, D leaf area and D leaf length and width using a portable leaf area meter. Pearson correlation analysis was made and it was observed significative positive and strong correlation among the studied variables. Then, regression models were adjusted. It was observed that the D leaf area of ‘Pérola’ pineapple can be estimated from the length and width of this same leaf and the total leaf area can be estimated from the D leaf area.

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