scholarly journals Flora and Vegetation Characteristics of the Natural Habitat of the Endangered Plant Pterygopleurum neurophyllum

Diversity ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 401
Author(s):  
Hwan-Joon Park ◽  
Seongjun Kim ◽  
Chang-Woo Lee ◽  
Nam-Young Kim ◽  
Jung-Eun Hwang ◽  
...  
Keyword(s):  
Life Form ◽  
Natural Habitat ◽  
Principal Component ◽  
Ground Cover ◽  
Mathematical Statistic ◽  
Pca Analysis ◽  
Phragmites Communis ◽  
Zizania Latifolia ◽  
Character Species ◽  
Miscanthus Sacchariflorus

This study analyzed the flora, life form, and vegetation of the Nakdong River wetland. Vegetation analysis was performed on 37 plots using the phytosociological method of the Zürich-Montpellier School. PCA analysis was conducted by using the vegetation data (ground cover of class; 1~9) of 37 plots surveyed by phytosociological method. PCA (Principal Component Analysis) was used to statistically analyze the objectivity of the community classification and the character species. The traditional classification and mathematical statistic methods were used. A total of 82 taxa belonging to 28 families, 65 genera, 72 species, 2 subspecies, and 8 varieties were present in the vegetation of the survey area. The life form was analyzed to be the Th-R5-D4-e type. The communities were classified into seven communities: Miscanthus sacchariflorus community, Phragmites communis community, Phragmites communis–Carex dispalata community, Ulmus parvifolia community, Zizania latifolia community, Setaria viridis community, and Salix koriyanagi–Salix chaenomeloides community. As a result of PCA analysis, it was classified into seven communities. Seven communities were analyzed, where the most dominant species (M. sacchariflorus, P. communis, C. dispalata, U. parvifolia, Z. latifolia, S. viridis, S. koriyanagi, S. chaenomeloides) of each community were examined as character species. Another species is analyzed as Salix koreensis. Of the sixteen M. sacchariflorus communities, Pterygopleurum neurophyllum was present in six plots (A-2 group) but not in ten plots (A-1 group). These two groups showed differences in coverage and the number of occurring species. As for the relative net contribution degree (r-NCD) in the A-2 group, most species showed low r-NCD except for M. sacchariflorus, which showed an r-NCD of 100. The r-NCDs in the A-1 group were as follows: Miscanthus sacchariflorus (100), P. neurophyllum (21.74), and Persicaria perfoliata (10.14). Therefore, P. neurophyllum is difficult to grow in the A-1 group. As a result, it is thought that the high density of M. sacchariflorus affects the growth and distribution of P. neurophyllum. In order to expand and maintain P. neurophyllum, the habitat environment needs to be altered by adjusting the density of M. sacchariflorus.

scholarly journals Exploring the Innovative Personality Characteristics among Teachers

2016 ◽  
Vol 9 (4) ◽  
pp. 1 ◽  
Author(s):  
Nooraini Othman
Keyword(s):  
Principal Component Analysis ◽  
Secondary School ◽  
Goodness Of Fit ◽  
Secondary School Teachers ◽  
Principal Component ◽  
Threshold Value ◽  
Personality Characteristics ◽  
Pca Analysis ◽  
School Teachers ◽  
Confirmatory Factor

<p class="apa">The aim of this study is to explore the characteristics of innovative personality among teachers in Malaysia. Samples of the research were randomly selected among secondary school teachers in three districts in Malaysia. Research instrument was self-developed by the researchers based on interviews carried out with some resource persons who are both experts and authoritative in their fields, as well as through literature review. A pilot study was carried out among 30 respondents. Cronbach’s Alpha value for the whole instrument is .952, indicating that it is reliable and suitable for actual data collection. A total of 484 sets of questionnaires were completed and gathered to form the data for this research. The data were then analysed using an advanced statistical method called Principal Component Analysis (PCA). Findings of the research concluded three constructs, namely, Leadership, Openness and Braveness. The constructs were labelled based on groups of items which were formed as a result of the PCA analysis. Meanwhile, Confirmatory Factor Analysis (CFA) was used to validate each dimension and to analyse the coherence of data based on model hypothesis. The findings of CFA indicated the goodness-of-fit values of the revised model, as follows: CMIN/DF=2.56; CFI=.935; and RMSEA=.057; with each figure above the threshold value. <strong></strong></p>

Pork Quality Classification Using a Hyperspectral Imaging System and Neural Network

2007 ◽  
Vol 3 (1) ◽  
Author(s):  
Qiao Jun ◽  
Michael Ngadi ◽  
Ning Wang ◽  
Aynur Gunenc ◽  
Mariana Monroy ◽  
...  
Keyword(s):  
Neural Network ◽  
Hyperspectral Imaging ◽  
Imaging System ◽  
Objective Assessment ◽  
Principal Component ◽  
Pork Quality ◽  
Pca Analysis ◽  
Error Frequency ◽  
Quality Classification ◽  
Average Reflectance

Pork quality is usually determined subjectively as PSE, PFN, RFN, RSE and DFD based on color, texture and exudation of the meat. In this study, a hyperspectral-imaging-based technique was developed to achieve rapid, accurate and objective assessment of pork quality. The principal component analysis (PCA) and stepwise operation methods were used to select feature waveband from the entire spectral wavelengths (430 to 980 nm). Then the feature waveband images were extracted at the selected feature wavebands from raw hyperspectral images, and the average reflectance (R) was calculated within the whole loin-eye area. Artificial neural network was used to classify these groups. Results showed that PCA analysis had a better performance than that of stepwise operation for feature waveband images selection. The 1st derivative data gave a better result than that of mean reflectance spectra data. The best classified result was 87.5% correction. The error frequency showed that RSE samples were easier to classify. The PFN and PSE samples were difficult to separate from each other.

scholarly journals Statistical Analysis for Evaluating Natural Yellow Coloring Agents from Peel of Local Fruits in Malang: Mangosteen, Honey Pineapple and Red Dragon Fruits

2019 ◽  
Vol 1 (2) ◽  
pp. 49 ◽  
Author(s):  
Yehezkiel Steven Kurniawan ◽  
Marcelinus Alfasisurya Setya Adhiwibawa ◽  
Edi Setiyono ◽  
Muhammad Riza Ghulam Fahmi ◽  
Hendrik Oktendy Lintang
Keyword(s):  
Statistical Analysis ◽  
Color Space ◽  
Principal Component ◽  
Ethanolic Extract ◽  
Test Results ◽  
Pca Analysis ◽  
Dragon Fruit ◽  
Yellow Pigments ◽  
Coloring Agents ◽  
Acetone Extracts

In the present work, a comprehensive statistical analysis was performed to evaluate the potential application of peel of local fruits from Malang, i.e. mangosteen, honey pineapple and red dragon fruits for natural yellow coloring agents. The yellow pigments from those fruit peels were extracted through a simple maceration method using distilled water, acetone and ethanol as the solvents. The CIE color space of the extracts was measured to obtain L*, a* and b* values. The obtained data were further analyzed using Principal Component Analysis (PCA), Multivariate Analysis of Variance (MANOVA) and Duncan Test to determine the most potent natural yellow coloring agent. All the extracts were appeared as mild to strong yellow liquid except for acetone extract for the peel of red dragon fruit extracts. From the CIE color space and PCA analysis, either ethanolic or acetone extracts of mangosteen appears as a strong yellow liquid and they are statistically not different. Interestingly, the MANOVA and Duncan test results are able to distinguish that the ethanolic extract of mangosteens’ peel as the best candidate for natural yellow coloring agents because of its lowest L* and also highest b* variable values.

scholarly journals Entomopathogenic fungi in Portuguese vineyards soils: suggesting a ‘Galleria-Tenebrio-bait method’ as bait-insects Galleria and Tenebrio significantly underestimate the respective recoveries of Metarhizium (robertsii) and Beauveria (bassiana)

MycoKeys ◽  
2018 ◽  
Vol 38 ◽  
pp. 1-23 ◽  
Author(s):  
Lav Sharma ◽  
Irene Oliveira ◽  
Laura Torres ◽  
Guilhermina Marques
Keyword(s):  
Functional Diversity ◽  
Entomopathogenic Fungi ◽  
Insect Pests ◽  
Natural Habitat ◽  
Habitat Type ◽  
Principal Component ◽  
Metarhizium Robertsii ◽  
Bait Method ◽  
Ecological Profiles ◽  
Soil Habitat

Entomopathogenic fungi (EPF) are the natural enemies of insect-pests. However, EPF recoveries can be influenced by the soil habitat-type(s) incorporated and/or the bait-insect(s) used. Galleriamellonella (GM) as bait-insect, i.e. ‘Galleria-bait’, is arguably the most common methodology, which is sometimes used solely, to isolate EPF from soils. Insect baiting using Tenebriomolitor (TM) has also been employed occasionally. Here 183 soils were used to estimate the functional diversity of EPF in Portuguese Douro vineyards (cultivated habitat) and adjacent hedgerows (semi-natural habitat), using the TM bait method. Moreover, to study the effect of insect baiting on EPF recovery, 81 of these 183 soil samples were also tested for EPF occurrences using the GM bait method. Twelve species were found in 44.26% ± 3.67% of the total of 183 soils. Clonostachysroseaf.rosea was found in maximum soils (30.05% ± 3.38%), followed by Beauveriabassiana (12.57% ± 2.37%), Purpureocilliumlilacinum (9.29% ± 2.14%) and Metarhiziumrobertsii (6.01% ± 1.75%). Beauveriapseudobassiana (P &lt; 0.001), C.roseaf.rosea (P = 0.006) and Cordycepscicadae (P=0.023) were isolated significantly more from hedgerows, highlighting their sensitivities towards agricultural disturbances. Beauveriabassiana (P = 0.038) and M.robertsii (P = 0.003) were isolated significantly more using GM and TM, respectively. Principal component analysis revealed that M.robertsii was associated both with TM baiting and cultivated habitats, however, B.bassiana was slightly linked with GM baiting only. Ecological profiles of B.bassiana and P.lilacinum were quite similar while M.robertsii and C.roseaf.rosea were relatively distant and distinct. To us, this is the first report on (a) C.cicadae isolation from Mediterranean soils, (b) Purpureocilliumlavendulum as an EPF worldwide; and (c) significant recoveries of M.robertsii using TM over GM. Overall, a ‘Galleria-Tenebrio-bait method’ is advocated to study the functional diversity of EPF in agroecosystems.

scholarly journals Struktur Komunitas Perifiton Pada Lamun Jenis Thalassia hemprichii dan Cymodocea rotundatta di Kawasan Pantai Sanur

2017 ◽  
Vol 3 (1) ◽  
pp. 123
Author(s):  
Putu Satya Pratama ◽  
Dwi Budi Wiyanto ◽  
Elok Faiqoh
Keyword(s):  
Diversity Index ◽  
Principal Component ◽  
Total Suspended Solid ◽  
Suspended Solid ◽  
Nursery Ground ◽  
Anthropogenic Influences ◽  
Pca Analysis ◽  
Thalassia Hemprichii ◽  
Water Parameters ◽  
Phosphate Nitrate

Seagrass has function as nursery ground, spawning ground, feeding ground and habitat for many coastal organism (benthic, fish and epiphytes). Tourism activities in Sanur beach, the habitat of seagrass, could change the water condition, it indirectly influencing the existences of seagrass plants and periphyton in Sanur beach. The aim of this study are to analyze community structure of periphyton on seagrass leaves (Thalassia hemprichii and Cymodocea rotundatta) and its relationship with water parameters in four stations at Sanur beach area that has the unique characteristics. Water parameters measured were temperature, salinity, DO (Dissolved oxyen), pH, nitrate, phosphate, and TSS (Total Suspended Solid). Data analysis using PCA (Principal Component Analysis) to see the parameters that most influence on the abundance of periphyton. The results showed diversity index (H’) of periphyton is moderate, eveness index (E) moderate to high, and dominance index (C) is low to medium. It concluded that conditions of Sanur waters is stable but it is easily changed due to anthropogenic influences. PCA analysis showed that the parameters of the water have different effects on the abundance of periphyton at each seagrass leaves. Periphyton on Thalassia hemprichii was influenced by TSS, while Cymodocea rotundatta was influenced by phosphate, nitrate, temperature, DO, and TSS.

scholarly journals Elemental Composition and Some Nutritional Parameters of Sweet Pepper from Organic and Conventional Agriculture

Plants ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 863
Author(s):  
Rosa Guilherme ◽  
Fernando Reboredo ◽  
Mauro Guerra ◽  
Sandrine Ressurreição ◽  
Nuno Alvarenga
Keyword(s):  
Principal Component ◽  
Sweet Pepper ◽  
Fruit Weight ◽  
Agricultural Products ◽  
Ripening Stage ◽  
Pca Analysis ◽  
Conventional Agriculture ◽  
A Value ◽  
Increasing Demand ◽  
Nutritional Studies

The increasing demand of organic agriculture (OA) is based on the consumer’s belief that organic agricultural products are healthier, tastier and more nutritious. The effect of OA and conventional agriculture (CA) methods on the elemental compositions of green and red sweet peppers were studied. The highest concentrations of Ca, Cu, K and P occur in peppers from OA in both states of ripeness, with emphasis on Ca and K contents. Furthermore, the principal component analysis (PCA), points out to a clear separation, regarding concentrations, between peppers from OA and CA. The average fruit weight is higher in OA, 141 g versus 112 g in CA. Regarding productivity, CA reaches a value of 30.1 t/ha, 7% higher than the value observed for OA, i.e., 28 t/ha. Peppers from CA, exhibited greater protein content than those which originated from OA, regardless of the ripening stage, but not more ashes. Regarding nutritional ratios, the ripening stage and the production mode, can be important for an adequate choice regarding a more balanced Ca/P ratio, and the studied variety contained high Ca values ranging between 1009 and 1930 mg.kg−1. The PCA analysis also revealed that Mn and Fe are inversely correlated, confirming the importance of the Mn/Fe ratio evaluation in nutritional studies.

scholarly journals Comparative analysis of shell occupation by two southern populations of the hermit crab Loxopagurus loxochelis (Decapoda, Diogenidae)

2012 ◽  
Vol 60 (3) ◽  
pp. 299-310 ◽  
Author(s):  
Luciane Ayres-Peres ◽  
Aline Ferreira Quadros ◽  
Fernando L. Mantelatto
Keyword(s):  
Principal Component Analysis ◽  
Comparative Analysis ◽  
Hermit Crab ◽  
Regression Tree ◽  
Principal Component ◽  
Hermit Crabs ◽  
Pca Analysis ◽  
Internal Volume ◽  
The Relationship ◽  
Two Populations

The present study aimed to comparatively verify the relation between the hermit crabs and the shells they use in two populations of Loxopagurus loxochelis. Samples were collected monthly from July 2002 to June 2003, at Caraguatatuba and Ubatuba Bay, São Paulo, Brazil. The animals sampled had their sex identified, were weighed and measured; their shells were identified, measured and weighed, and their internal volume determined. To relate the hermit crab's characteristics and the shells' variables, principal component analysis (PCA) and a regression tree were used. According to the PCA analysis, the three gastropod shells most frequently used by L. loxochelis varied in size. The regression tree successfully explained the relationship between the hermit crab's characteristics and the internal volume of the inhabited shell. It can be inferred that the relationship between the morphometry of an individual hermit crab and its shell is not straightforward and it is impossible to explain only on the basis of direct correlations between the body's and the shell's attributes. Several factors (such as the morphometry and the availability of the shell, environmental conditions and inter- and intraspecific competition) interact and seem to be taken into consideration by the hermit crabs when they choose a shell, resulting in the diversified pattern of shell occupancy shown here and elsewhere.

scholarly journals Morphometry and Distribution of Senecio Nemorensis agg. Species (Asteraceae) in Poland

2014 ◽  
Vol 59 (1) ◽  
pp. 37-54
Author(s):  
Kaja Rola
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Involucral Bract ◽  
Canonical Discriminant Analysis ◽  
Herbarium Specimens ◽  
Distribution Map ◽  
Pca Analysis ◽  
Leaf Base ◽  
Quantitative Characters ◽  
Base Width

Abstract A morphometric analysis based on 316 herbarium specimens of Senecio nemorensis agg. indicated the occurrence of the following four species in Poland: S. germanicus Wallr., S. hercynicus Herborg, S. ovatus (G. Gaertn. et al.) Willd. and S. ucranicus Hodálová. Principal component analysis (PCA), analysis of variance (ANOVA)/Kruskal-Wallis test and canonical discriminant analysis (CDA) were applied. Quantitative characters such as supplementary bract length, leaf base width, ligule length and the supplementary/involucral bract length ratio clearly discriminated taxa within S. nemorensis agg. Included is a distribution map of the investigated species based on the examined material, with particular emphasis on the course of the northeastern boundary of S. hercynicus and the northwestern boundary of S. ucranicus. Also given is a determination key for species within S. nemorensis agg. in Poland, together with morphological descriptions of particular species

scholarly journals A combination of fruit and leaf morphology enables taxonomic classification of the complex Q. robur L. – Q. x rosacea Bechst. – Q. petraea (Matt.) Liebl. in autochthonous stands in Flanders

2011 ◽  
Vol 60 (1-6) ◽  
pp. 139-148 ◽  
Author(s):  
Kristine Vander Mijnsbrugge ◽  
Luc De Cleene ◽  
Hans Beeckman
Keyword(s):  
Quercus Robur ◽  
Principal Component ◽  
Relative Number ◽  
Bimodal Distribution ◽  
Pca Analysis ◽  
Fruit Morphology ◽  
Petiole Length ◽  
Fruit Characters ◽  
Putative Hybrids

Abstract Hybrids between Quercus robur and Q. petraea have been a sought topic of many studies in Europe during the last decades. Here, leaf and fruit morphology were studied in five oak stands where both species occur naturally intermixed. The stands are relicts of old, possibly medieval coppice wood. Twenty two leaf characters and nine fruit characters were assessed on three leaves and three fruits per tree and for thirty trees per stand. A principal component analysis (PCA) resulted in a bimodal distribution with restricted overlap along the first component when both leaf and fruit data were processed together. For leaf and fruit data separately, the analysis produced only continuous clusters of trees. Two types of putative hybrids can be defined that either show a petiole length of the leaf (PL) according to Q. robur and a petiole length of the fruit (FP1) according to Q. petraea, or vice versa. These hybrids cluster within both groups of the PCA analysis, but not all are situated close to or in the intermediate area between the groups. A lowered mean relative number of developed acorns in the hybrid groups in comparison to their putative maternal parent, based on the assumption of matroclinal inheritance of PL, is observed. This might indicate a reduced ability for successful fertilisation in the hybrids. These results suggest the presence of putative hybrids and introgressed forms within the morphological distinct Q. robur and Q. petraea groups and argument for a taxonomically defined Q. x rosacea based on PL and FP1 limits.

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