ABSTRACT
PREMISE: Plant leaves are one of the most important organs for plant identification due to their variability across different taxonomic groups. While traditional morphometrics has contributed tremendously to reducing the problems accompanying plant identification and morphology-based species delimitation, image-analysis digital solutions have made it easy to detect more characters to complement existing leaf data sets. METHODS: Here, we apply MorphoLeaf to generate a morphometric data set from 140 leaf specimens of seven Cucurbitaceae species via landmark extraction, the reparameterization of leaf contours, and data quantification and normalization. A statistical analysis was performed on the resulting data set. RESULTS: A principal component analysis revealed that leaf blade area, blade perimeter, tooth area, tooth perimeter, the measure of the distance from tooth position to the tip, and the measure of the distance from tooth position to the base are important and informative landmarks that contribute to the variation within the species studied. DISCUSSION: MorphoLeaf can be applied to quantitatively track leaf diversity, thereby functionally integrating morphometrics and shape visualization into the digital identification of plants. The success of digital morphometrics in leaf outline analyses presents researchers with opportunities to carry out more accurate image-based research in areas such as plant development, evolution, and phenotyping.
ABSTRACT
Ability of a plant to develop different adaptive strategies can also determine its capability for effective soil remediation. In this study, influence of spent mushroom compost (SMC) was tested on the phytoremediation of black oil hydrocarbon polluted soil and the response of Megathyrsus maximus (guinea grass). Studies were carried out in microcosm conditions by mixing different concentration of SMC viz., 10, 20, 30 and 40% in a 5 kg of contaminated soil along with control. Seeds of M. maximus was sown in tray for two weeks and allowed to grow for height of 10 cm and transplanted in to the different experimental pots. Soil nutrient, heavy metal and PAH contents were analyzed before and after the experiment. Ecophysiological and anatomical responses due to the contaminants in the soil by M. Maximus were analyzed after 120 days. Phytomass efficiency, potential photosynthesis (Amax) and contents of chlorophylls (a and b) as well as the total chlorophyll along with anatomical evaluations were recorded. Plant alone (control) reduced the soil heavy metal and PAH contents but further improvements were observed in SMC treatments, similar results were also observed as regards to the plant's phytoremediation efficiency (PE), phytomass and potential photosynthetic rates (m mol O2 M-2S-1). The plant's root and shoot anatomical responses were enhanced in treatments compared to control, study infers that the treatment enhances the biostimulation and development of adaptive characteristics for M. maximus survival in contaminated soils and promotes its co-degradation of hydrocarbon. SMC supports remediation and as well enhances the anatomical evaluations, we therefore recommend the use of SMC on response of Megathyrsus maximus Jacq for remediation of petrochemical based phytoremediation.
