scholarly journals Keragaman Jeruk Gunung Omeh (Citrus nobilis Lour.) di Sumatera Barat Berdasarkan Marka RAPD

2018 ◽  
Vol 27 (2) ◽  
pp. 155
Author(s):  
Nirmala Friyanti Devy ◽  
NFN Hardiyanto
Keyword(s):  
Principal Component Analysis ◽  
Single Mother ◽  
Rapd Marker ◽  
Principal Component ◽  
Component Analysis ◽  
Morphological Characters ◽  
Plant Sample ◽  
Two Samples ◽  
Fruit Samples ◽  
Degree Of Similarity

<p>Jeruk siam Gunung Omeh/Gn. Omeh (Citrus nobilis Lour.) merupakan jeruk lokal yang berkembang di seluruh sentra jeruk Sumatera Barat. Namun, buah yang ada di pasar sangat beragam fenotipiknya. Tujuan penelitian adalah untuk mengelompokkan sebaran tanaman jeruk Gn. Omeh yang berada pada empat Kabupaten berdasarkan karakter genetik dan morfologi. Penelitian dilakukan pada bulan Januari sampai dengan Juni 2016, dengan 21 contoh daun dan buah berasal dari petani di empat kabupaten pengembangan wilayah jeruk Sumatera Barat (Kabupaten Limapuluh Kota, Agam, Solok Selatan, dan Tanah Datar), dan dua contoh daun kontrol masing-masing asal BPMT dan PIT di Kabupaten Limapuluh Kota. Keragaman morfologi daun dan buah dianalisis dengan Analisis Komponen Utama (Principal Component Analysis/PCA). Data yang dihasilkan dianalisis lebih lanjut dengan kluster analisis untuk mengamati pengelompokannya. Hasil penelitian menunjukkan tingkat kemiripan secara genetik 23 contoh jeruk Gn. Omeh yang dianalisis menggunakan dua macam RAPD marker, yaitu OPA 04 dan OPA 18 yang menghasilkan 24 pita, di mana 83,3% adalah polimorfik. Berdasarkan dendrogram yang dihitung menurut UPGMA, 23 contoh daun jeruk secara genetis terbagi menjadi dua kelompok besar. Pada kelompok I, terdapat dua contoh asal Kabupaten Limapuluh Kota, sedangkan 21 contoh sisanya berada pada kelompok II. Pada derajat kemiripan antara 86,5–96%, tanaman PIT mirip dengan A1 dan satu subkelompok dengan S2, A5, T3, T5, dan S1, sedangkan BPMT mirip dengan T4, dan satu subkelompok dengan A4 dan A3. Berdasarkan karakter morfologi pada derajat kemiripan 75%, jeruk Gn. Omeh di Sumatera Barat terbagi menjadi lima kelompok, di mana pada kelompok 1, 3, 4, dan 5 masing-masing adalah contoh L1, T5, S5, dan S2, sedangkan 18 tanaman lainnya masuk di dalam kelompok 2. Dari hasil analisis secara genetik maupun morfologi menghasilkan derajat variasi yang cukup tinggi di antara 23 contoh yang ada. Hal ini menunjukkan bahwa keragaman buah yang ada diduga disebabkan oleh penggunaan benih serta pengelolaan tanaman yang beragam.</p><p>The Gunung Omeh citrus (Citrus nobilis Lour.) is a local citrus growing throughout the citrus center of West Sumatera. However, the fruits available in the market are very diverse phenotypic. The purpose of this study is to classify the spread of citrus cv. Gn. Omeh derived from four districts based on genetic and morphological characters. The study was conducted from January to June 2016, with 21 of leaf and fruit samples collected from four Citrus District Regional Development farmers in the West Sumatera (Limapuluh Kota, Agam, Solok Selatan, and Tanah Datar). Besides that, control leaf samples derived from Budwood Multiplication Block/BPMT and Single Mother Tree/PIT were used. The morphological diversity both leaves and fruits were analyzed by Principal Component Analysis (PCA). The result showed that the level of genetic similarity in 23 samples of orange Gn. Omeh analyzed using two markers RAPD namely OPA 04 and OPA 018 which generate 24 bands, where 83.3% were polymorphic The resulting data were further analyzed by cluster analysis to observe groupings. Based on the dendrogram calculated according to UPGMA, 23 samples genetically are divided into two major groups. In the first group, there are two samples from Limapuluh Kota, while the remaining 21 samples are in second group. On the degree of similarity between 86.5–96%, PIT similar to the A1 plant and it belong to the same subgroup with S2, A5, T3, T5, S1. While BPMT similar to T4 plant, and it belong to the same subgroup with A4 and A3. Based on morphological characters at a 75% degree of similarity, the Gn. Omeh citrus in West Sumatra is divided into five groups, where the L1, T5, S5, and S2 plant sample belongs to the groups 1, 3, 4, and 5, respectively, while 18 others in Group 2. From the analysis of both genetic and morphological characters, it generates fairly high degree of variation among 23 samples. This shows that the diversity of the marketed is thought to be caused by the use of seed plants and crop cultivated management are diverse.</p>

scholarly journals A phenetic study of the genus Rasahus Amyot & Serville (Heteroptera, Reduviidae)

1990 ◽  
Vol 1 (3) ◽  
pp. 131-144
Author(s):  
María Coscarón
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Morphological Characters ◽  
Basal Plate ◽  
Using Data ◽  
Diagnostic Importance

Cluster analysis by four methods and a principal component analysis were performed using data on 24 morphological characters of 27 species of the genus Rasahus (Peiratinae). The results obtained by the different techniques show general agreement. They confirm the present number of taxa and reveal the existence within the genus of three groups of species: scutellaris , hamatus and vittatus. The scutellaris group is constituted by R. aeneus (Walker), R. maculipennis (Lepelletier and Serville), R. bifurcatas Champion, R. castaneus Coscarón, R. guttatipennis (Stål), R. flavovittarus Stål, R. costarricensis Coscarón, R. scutellaris (Fabricius), R. atratus Coscarón, R. peruensis Coscarón, R. paraguayensis Coscarón, R. surinamensis Coscarón, R. albomaculatus Mayr, R. brasiliensis Coscarón and R. sulcicollis (Serville).The hamatus group contains R. rufiventris (Walker), R. hamatus (Fabricius), R. amapaensis Coscarón, R. arcitenens Stål, R. limai Pinto, R. angulatus coscarón, R. thoracicus Stål, R. biguttatus (Say), R. arcuiger (Stål), R. argentinensis Coscarón and R. grandis Fallou. The vittatus group contains R. vittatus Coscarón. The characters used to separate the groups of species are: shape of the pygophore, shape of the parameres, basal plate complexity, shape of the postocular region and hemelytra pattern. Illustrations of the structures of major diagnostic importance are included.

Developing Attitude Statements toward Illegal Immigration: Transcultural Reliability and Utility

2007 ◽  
Vol 100 (3) ◽  
pp. 901-914 ◽  
Author(s):  
Reidar Ommundsen ◽  
Kees van der Veer ◽  
Hao Van Le ◽  
Krum Krumov ◽  
Knud S. Larsen
Keyword(s):  
Principal Component Analysis ◽  
Sex Differences ◽  
Item Analysis ◽  
Illegal Immigration ◽  
Principal Component ◽  
Component Analysis ◽  
Illegal Immigrants ◽  
State University ◽  
Varimax Rotation ◽  
Two Samples

This is a report on the utility of a scale measuring attitudes toward illegal immigrants in two samples from nations that have more people moving out of the country than moving into the country. The Attitude toward Illegal Immigrants Scale was administered to 219 undergraduates from Sofia University in Bulgaria, and 179 undergraduates from Hanoi State University in Vietnam. Results yielded a scale with no sex differences, and acceptable alpha coefficients. Item analysis identified the most contributory and least contributory items, with considerable overlap in the two samples. A principal component analysis with varimax rotation was carried out to examine the structure.

scholarly journals Multivariate Analysis and Machine Learning for Ripeness Classification of Cape Gooseberry Fruits

Processes ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. 928 ◽  
Author(s):  
Miguel De-la-Torre ◽  
Omar Zatarain ◽  
Himer Avila-George ◽  
Mirna Muñoz ◽  
Jimy Oblitas ◽  
...  
Keyword(s):  
Machine Learning ◽  
Principal Component Analysis ◽  
Feature Selection ◽  
Principal Component ◽  
Component Analysis ◽  
Support Vector ◽  
Color Spaces ◽  
Combination Methods ◽  
Fruit Samples ◽  
Cape Gooseberry

This paper explores five multivariate techniques for information fusion on sorting the visual ripeness of Cape gooseberry fruits (principal component analysis, linear discriminant analysis, independent component analysis, eigenvector centrality feature selection, and multi-cluster feature selection.) These techniques are applied to the concatenated channels corresponding to red, green, and blue (RGB), hue, saturation, value (HSV), and lightness, red/green value, and blue/yellow value (L*a*b) color spaces (9 features in total). Machine learning techniques have been reported for sorting the Cape gooseberry fruits’ ripeness. Classifiers such as neural networks, support vector machines, and nearest neighbors discriminate on fruit samples using different color spaces. Despite the color spaces being equivalent up to a transformation, a few classifiers enable better performances due to differences in the pixel distribution of samples. Experimental results show that selection and combination of color channels allow classifiers to reach similar levels of accuracy; however, combination methods still require higher computational complexity. The highest level of accuracy was obtained using the seven-dimensional principal component analysis feature space.

scholarly journals Morphological variability of acorns and its taxonomic significance in Quercus. from Turkey

2015 ◽  
Vol 43 (3) ◽  
pp. 293-299 ◽  
Author(s):  
Y Bakis ◽  
MT Babaç
Keyword(s):  
Principal Component Analysis ◽  
Morphological Variability ◽  
Morphological Characteristics ◽  
Principal Component ◽  
Component Analysis ◽  
Morphological Characters ◽  
Taxonomic Significance ◽  
Morphological Variations ◽  
Quercus Species ◽  
Different Populations

Morphological variations of acorn among and within the groups of Quercus species were studied. A total of 617 acorns belonging to 14 species representing all 3 sections of Quercus L. (Fagaceae) in Turkey were examined in this study. Specimens were collected from 47 different populations over both Anatolian and Thrace part of Turkey. Principal component analysis was used to analyze the morphological characteristics of acorns. Results obtained from this study demonstrate the use of morphological characters in differentiating the taxa of Quercus and Cerris sections studied. Another important finding is the introgression among the acorns of species within Quercus section DOI: http://dx.doi.org/10.3329/bjb.v43i3.21601 Bangladesh J. Bot. 43(3): 293-299, 2014 (December)

Taxonomic revision of the Colombian Tityus (Archaeotityus) (Scorpiones, Buthidae) species: a morphological and morphometric approach, with a description of a new species

Zootaxa ◽  
2019 ◽  
Vol 4660 (1) ◽  
pp. 1-94
Author(s):  
JAIRO A. MORENO-GONZÁLEZ ◽  
RANULFO GONZÁLEZ O. ◽  
EDUARDO FLÓREZ D.
Keyword(s):  
Principal Component Analysis ◽  
New Species ◽  
New Records ◽  
Principal Component ◽  
Taxonomic Revision ◽  
Component Analysis ◽  
Morphological Characters ◽  
Species Level ◽  
Qualitative And Quantitative ◽  
A New Species

We present a taxonomic revision of the Colombian Tityus (Archaeotityus) species based on morphological and morphometric evidence. We examined more than 385 specimens and evaluated new and previously used qualitative and quantitative morphological characters. We redescribe the Colombian species and present morphological characters for both sexes and an emended diagnosis for the subgenus Tityus (Archaeotityus). We describe a new species Tityus guane sp. nov. from Santander department, Colombia, Tityus betschi Lourenço 1992 is synonymized with Tityus parvulus Kraepelin, 1914, and Tityus wayuu Rojas-Runjaic & Armas, 2007 is synonymized with Tityus tayrona Lourenço, 1991. We measured 186 specimens and performed a multivariate principal component analysis (PCA) for 34 selected morphometric ratios for each sex. We found that a few morphological ratios support species level distinctions within the Colombian species. We provide updated distributional maps with new records and an identification key for both sexes. Furthermore, we provide an updated checklist for the subgenus and a discussion about the character systems used within Tityus (Archaeotityus). The new morphological characters proposed and the traditional morphometry examined with a PCA are useful for studying Tityus (Archaeotityus) taxonomy.

scholarly journals Evaluation of morphometric characters of honeybee (Apis mellifera L.) populations in Nigeria

2016 ◽  
Author(s):  
Usman H Dukku
Keyword(s):  
Principal Component Analysis ◽  
Body Size ◽  
Apis Mellifera ◽  
Analysis Of Variance ◽  
Principal Component ◽  
Component Analysis ◽  
Morphological Characters ◽  
Morphometric Characters ◽  
Sub Saharan

Samples of workers of honeybee were collected from 41 colonies in nine localities in Nigeria and analysed using classical morphometry. Measurements of 35 morphological characters of body size, colour and pilosity were taken from 10 workers per colony and the data subjected to one-way analysis of variance (ANOVA) and principal component analysis. Although ANOVA revealed a considerable variation of morphological characters between the sampled localities, principal component analysis indicated that this variation was not sufficient to group the colonies under investigation into geographically separable groups. Based on the agreement between the results of this study and those of previous studies, it is concluded that the honeybees of this area are morphometrically pure populations of sub-Saharan A. mellifera.

scholarly journals Rhamnella brachycarpa (Rhamnaceae), a new species from Hainan Island, China

PhytoKeys ◽  
2019 ◽  
Vol 132 ◽  
pp. 19-29
Author(s):  
Zhiqiang Lu ◽  
Yongshuai Sun
Keyword(s):  
Principal Component Analysis ◽  
New Species ◽  
Principal Component ◽  
Woody Species ◽  
Hainan Island ◽  
Component Analysis ◽  
Morphological Characters ◽  
The Other ◽  
A New Species

Rhamnella brachycarpa Z. Qiang Lu &amp; Y. Shuai Sun, a new evergreen woody species from Hainan Island, is described and illustrated. The specimens of this new species have previously been identified and placed under R. rubrinervis (H. Lév.) Rehder, with which it shares evergreen leaves, erect and climbing habits and axillary flowering branches with bracteole leaves. However, the specimens from three distinct Hainan populations significantly differ from those of R. rubrinervis from other regions with smaller length to width ratios of leaves, fruit and seeds, smaller sizes of fruit and seeds and mucronate seed apices. Principal Component Analysis of the closely related taxa, based on multiple morphological characters, further recognised two separated groups. One of them comprises R. tonkinensis and R. rubrinervis, the other merely includes all individuals from these distinct Hainan populations. Therefore, R. brachycarpa, based on these distinct Hainan populations, is here erected as a new species, distinctly different from its published relatives.

scholarly journals Pengelompokan Klon-Klon Ubi Jalar Berdasarkan Analisis Gerombol, Komponen Utama dan Biplot dari Karakter Morfologi

2019 ◽  
Vol 46 (3) ◽  
pp. 276-282
Author(s):  
Helen Hetharie ◽  
Simon Hadi Teguh Raharjo ◽  
Dan Edizon Jambormias
Keyword(s):  
Principal Component Analysis ◽  
Sweet Potato ◽  
Ipomoea Batatas ◽  
Principal Component ◽  
Component Analysis ◽  
Morphological Characters ◽  
Similarity Coefficients ◽  
Biplot Analysis ◽  
Tuber Flesh ◽  
Descriptive Method

Sweet potato is a food crop with high genetic and phenotypic diversities. The objective of this study was to cluster sweet potato clones based on their morphological characters. This research used descriptive method using 25 morphological characters on 28 sweet potato clones and clustered using dice coefficient, principal component analysis and biplot analysis. The results showed that the clones were grouped into two clusters and 14 sub-clusters. Three sub-clusters had high similarity coefficients, i.e., 0.68-0.96, one clone was eliminated, and 11 sub-clusters had a low similarity, i.e., 0.41-0.52. The principal component analysis showed 14 of 25 morphological characters  determined the diversity in 27 sweet potato clones with cumulative variance of 70.79%. Biplot analysis showed that 12 characters contributed to cumulative variance of 61.3%. Twelve morphological characters had weak contribution on the characteristics of the clones in quadrant I; meanwhile, characteristics of  clones in quadrant II were orange, yellow and white tuber flesh, in quadrant III was dark purple tuber flesh, and in quadrant IV were purple tuber flesh and cortex. Result of the grouping analysis identified clones that were closely related and those distantly related for improvement purposes.Keywords: Ipomoea batatas, cumulative variance, Maluku province, morphology, relationship

scholarly journals Evaluation of morphometric characters of honeybee (Apis mellifera L.) populations in Nigeria

2016 ◽  
Author(s):  
Usman H Dukku
Keyword(s):  
Principal Component Analysis ◽  
Body Size ◽  
Apis Mellifera ◽  
Analysis Of Variance ◽  
Principal Component ◽  
Component Analysis ◽  
Morphological Characters ◽  
Morphometric Characters ◽  
Sub Saharan

Samples of workers of honeybee were collected from 41 colonies in nine localities in Nigeria and analysed using classical morphometry. Measurements of 35 morphological characters of body size, colour and pilosity were taken from 10 workers per colony and the data subjected to one-way analysis of variance (ANOVA) and principal component analysis. Although ANOVA revealed a considerable variation of morphological characters between the sampled localities, principal component analysis indicated that this variation was not sufficient to group the colonies under investigation into geographically separable groups. Based on the agreement between the results of this study and those of previous studies, it is concluded that the honeybees of this area are morphometrically pure populations of sub-Saharan A. mellifera.

scholarly journals MODELLING IKPOBA RIVER WATER QUALITY USING PRINCIPAL COMPONENT ANALYSIS (PCA) METHOD

2019 ◽  
Vol 10 (1) ◽  
pp. 59-74 ◽  
Author(s):  
Ehizonomhen Solomon Okonofua ◽  
Ifeanyi Benjamin Nwadialo ◽  
M. O. Ekun
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
River Water ◽  
Principal Component ◽  
Treatment Method ◽  
Component Analysis ◽  
River Water Quality ◽  
Brewery Wastewater ◽  
Two Samples ◽  
Intense Activity

This paper examined the effects of brewery wastewater on the quality of water in Ikpoba River which has experienced significant pollution over the years, with the intention of determining the main pollutant in the river water. Samples were recovered from eight (8) different locations covering a total distance of 750 m: one sample from upstream at 150 m from the effluent discharge location, two samples from effluents discharge point and five samples from downstream location at 150 m interval. Samples were taken twice monthly in March, May and July, 2014 during period of intense activity of production. The physcio-chemical analyses of the twenty-five (25) selected parameters were calculated and values obtained were used to calculate the water Quality index of the river. The results indicated that Ikpoba River is severely polluted (WQI = -5429792.89, in SN1, March, 2014) as a result of untreated brewery effluent hence Principal Component Analysis (PCA) was applied to determine the parameter that contributes mainly to the pollution and those that contributed minimally. Evaluation of the PCA results shows that the only reoccurring parameter is Copper hence it is concluded that Copper is the only component factor that influences the river water quality throughout the period under study. Therefore, it is strongly recommended that any proposed treatment method must be targeted at the removal of copper in addition to other factors of high contributory effects.

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