scholarly journals Karakterisasi Morfologi Ikan Bujuk (Channa lucius) pada Perairan Danau Singkarak Sumatera Barat, Rawa Banjiran Tanjung Jabung Timur Jambi dan Rawa Banjiran Kampar Riau

2014 ◽  
Vol 15 (1) ◽  
pp. 1 ◽  
Author(s):  
Azrita Azrita ◽  
Hafrijal Syandri ◽  
Dahelmi Dahelmi ◽  
Syaifullah Syaifullah ◽  
Estu Nugroho
Keyword(s):  
Principal Component Analysis ◽  
Morphological Characteristics ◽  
Principal Component ◽  
Environmental Water ◽  
Component Analysis ◽  
The Body ◽  
Meristic Characters ◽  
Morphometric Characters ◽  
A Value

Overfishing, the use of unfriendly-environmental fishing gears, changes of environmental water conditions and diversity of habitats are threaten the continuity of Bujuk fish (Channa lucius) and generate the morphologycal diversity. Consequently, appropriate conservation efforts are needed to preserve the fish. The first phase of these efforts were done through morphological approach. The research was held in 2010 in Singkarak Lake West Sumatera Province, in floodplain, Pematang sub-district Lindung Mendahara Ulu Regency East Tanjung Jabung, Province of Jambi, and in floodplain Mentulik Regency Kampar Kiri Hilir Riau Province. The aims of the research were to analyze the morphological characteristic of the fish with Principal Component Analysis (PCA) and to determine the range of similarity between populations of the fish. Determination of the location of fish sampling was conducted by proposive sampling in which there were 30 samples for every research location. The measurement of the specimen was done by digital calipers on the left of the body, at 4 meristic characters and 19 morphometric characters. The data obtained were analyzed by One Way ANOVA and principal component analysis using Statistical software version 13. The results showed that based on the analysis of morphological characteristics of bujuk fish, populations that exist in Lake Singkarak were different from those of Pematang Lindung floodplain sub-district Mendahara Ulu Regency East Tanjung Jabung Jambi Province and Mentulik Regency floodplain Kampar Kiri Hilir Province Riau. The meristic difference was on the number of scales along the lateral line with a value of 0.783. While the main difference on morphometric characters were the snout length with a value of 0.848, and length of upper jaw with a value of 0.847. Thus, the study showed that the fish was isolated geographically into two groups, which were Jambi-Riau population and Singkarak Lake population.

scholarly journals KARAKTERISASI BIOMETRIK IKAN LELE DUMBO PERBANDINGAN DENGAN IKAN LELE AFRIKA (Clarias gariepinus BURCHELL, 1822)

2019 ◽  
Vol 18 (2) ◽  
pp. 225-234
Author(s):  
Bambang Iswanto ◽  
Imron Imron ◽  
Rommy Suprapto ◽  
Huria Marnis
Keyword(s):  
Principal Component Analysis ◽  
Clarias Gariepinus ◽  
Principal Component ◽  
Component Analysis ◽  
African Catfish ◽  
Meristic Characters ◽  
Improvement Program ◽  
Morphometric Characters ◽  
Three Samples ◽  
Biometric Characteristic

Lele Dumbo was used to be a superior clariid catfish ardely cultured in Indonesia. Despite its aquaculture success, there was uncertainty about its taxonomic identity, whether it belongs to an African catfish (Clarias gariepinus Burchell 1822) or a hybrid resulted from a hybridization between African catfish C. gariepinus and an Asian catfish C. fuscus. Though lele Dumbo was no longer popular, the genetic improvement program has successfully developed lele Sangkuriang strain, and that have recently been extensively cultivated in Indonesia. As a lele Dumbo strain, the identity of lele Sangkuriang is also uncertain, thus need to be verified. The present study aimed to investigate the similarity of lele Dumbo through morphometric and meristic characterizations using samples of lele Sangkuriang (collected from BBPBAT Sukabumi, BPBAT Cijengkol and PT STP) compared to those of African catfish C. gariepinus introduced from Thailand and Kenya. The characterizations were carried out through measurement of 20 standard morphometric characters and five meristic characters the data obtained were then analyzed using principal component analysis. The results suggested that the values of morphometric and meristic characters of all three samples of lele Sangkuriang were not different from those of African catfish C. gariepinus. Likewise, the results of principal component analysis performed on morphometric and meristic characters also revealed that morphometric and meristic characteristics of all three samples of lele Sangkuriang were not different from those of African catfish C. gariepinus. Those results revealed that biometric characteristic of both lele Dumbo and African catfish C. gariepinus was not different, thus they seem belong to the same species.     

Determination of Agarwood oil’s significant chemical compounds using principal component analysis

2020 ◽  
Author(s):  
Mohamad Hushnie Haron ◽  
Mohd Nasir Taib ◽  
Nurlaila Ismail ◽  
Nor Azah Mohd Ali ◽  
Saiful Nizam Tajuddin
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Chemical Compounds ◽  
Component Analysis ◽  
Significant Chemical

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)

Quantitative analysis of interspecific and ontogenetic variation in Osteoglossum species (Teleostei: Osteoglossiformes: Osteoglossidae)

Zootaxa ◽  
2006 ◽  
Vol 1239 (1) ◽  
pp. 49 ◽  
Author(s):  
MARIA E.C. LEAL ◽  
VIVIANNE B. DE SANT-ANNA
Keyword(s):  
Principal Component Analysis ◽  
Quantitative Analysis ◽  
Intraspecific Variation ◽  
Principal Component ◽  
Component Analysis ◽  
Growth Trajectories ◽  
Ontogenetic Variation ◽  
Morphometric Characters ◽  
Interspecific And Intraspecific Variation

Patterns of interspecific and intraspecific variation were investigated on samples of postembryos, juveniles, and adults of the two species of the osteoglossid genus Osteoglossum (O. bicirrhosum and O. ferreirai). Twenty-two morphometric characters were analyzed, utilizing principal component analysis (PCA) that discriminate ontogenetic classes and between species. The results showed differences in both categories. Morphometric characters related to dorsal and anal fin lengths proved to be the most important in taxonomic recognition. The comparison of growth trajectories for these characters showed that growth offset for O. bicirrhosum overlaps with growth onset for O. ferreirai, which may be indicative of a peramorphic morphology in the latter species.

RECOGNITION OF SMILING FACES USING NEURAL NETWORKS AND SPCA

2004 ◽  
Vol 04 (02) ◽  
pp. 153-163 ◽  
Author(s):  
MIYOKO NAKANO ◽  
FUMIKO YASUKATA ◽  
MINORU FUKUMI
Keyword(s):  
Neural Networks ◽  
Principal Component Analysis ◽  
High Speed ◽  
Principal Component ◽  
Component Analysis ◽  
Research Field ◽  
A Value ◽  
Large Matrix ◽  
The Difference ◽  
The Cost

Research on "man-machine interface" has increased in many fields of engineering and its application to facial expressions recognition is expected. The eigenface method by using the principal component analysis (PCA) is popular in this research field. However, it is not easy to compute eigenvectors with a large matrix if the cost of calculation when applying it for time-varying processing is taken into consideration. In this paper, in order to achieve high-speed PCA, the simple principal component analysis (SPCA) is applied to compress the dimensionality of portions that constitute a face. A value of cos θ is calculated using an eigenvector by SPCA as well as a gray-scale image vector of each picture pattern. By using neural networks (NNs), the difference in the value of cos θ between the true and the false (plastic) smiles is clarified and the true smile is discriminated. Finally, in order to show the effectiveness of the proposed face classification method for true or false smiles, computer simulations are done with real images. Furthermore, an experiment using the self-organisation map (SOM) is also conducted as a comparison.

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