scholarly journals Keragaman Fenotipik Bunga Telang Double Petal Asal Indonesia dan Thailand Berdasarkan Morfologi Bunga

2021 ◽  
Vol 14 (1) ◽  
pp. 78-89
Author(s):  
Virda Aziza ◽  
Trixie Almira Ulimaz ◽  
Debby Ustari ◽  
Tarkus Suganda ◽  
Vergel Concibido ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Phenotypic Diversity ◽  
Principal Component ◽  
Component Analysis ◽  
Flower Morphology ◽  
West Java ◽  
Clitoria Ternatea ◽  
Butterfly Pea ◽  
And Cluster Analysis

AbstrakBunga telang (Clitoria ternatea L.) merupakan tanaman legum yang bagian bunganya telah banyak dimanfaatkan. Double petal adalah salah satu varian spesies bunga telang yang banyak ditemukan di Asia Tenggara. Penelitian ini bertujuan untuk mengevaluasi keragaman fenotipik plasma nutfah bunga telang double petal asal Indonesia (Bali, Jawa Barat, dan Jawa Timur) dan Thailand berdasarkan morfologi bunga. Percobaan disusun dalam Rancangan Acak Kelompok (RAK) dengan tiga ulangan. Data morfologi dianalisis menggunakan analisis multivariat berupa Analisis Komponen Utama (Principal Component Analysis) dan Analisis Klaster (Cluster Analysis) dengan bantuan program NTSYS 2.1. Hasil penelitian menunjukkan terdapat lima komponen utama yang berpengaruh terhadap keragaman aksesi dengan persentase keragaman kumulatif 88,82%. Karakter tipe bunga, susunan mahkota bunga, keberadaan lunas, tipe benang sari, dan posisi kepala putik memberi pengaruh terbesar terhadap keragaman aksesi. Analisis klaster membagi aksesi-aksesi tersebut menjadi dua klaster dengan koefisien ketidakmiripan 3,01–6,83. Dari hasil penelitian dapat disimpulkan bahwa bunga telang double petal asal Indonesia dan Thailand memiliki keragaman yang luas dan kekerabatan yang jauh; aksesi asal Bali memiliki morfologi bunga dan klaster yang berbeda dengan aksesi asal Jawa Barat, Jawa Timur, dan Thailand. Informasi ini akan bermanfaat dalam merencanakan pengelolaan plasma nutfah dan pemuliaan bunga telang double petal. Abstract Butterfly pea (Clitoria ternatea L.) is a legumeplant of which flower parts are widely used. One of butterfly pea variant is double petal which commonly found in Southern Asia. This study aimed to evaluate phenotypic diversity of double petal butterfly pea germplasm from Indonesia (Bali, West Java, and East Java) and Thailand based on flower morphology. The experiment was arranged in randomized complete blocks design with three replications. Morphology data were subjected to multivariate analysis using Principal Component Analysis and Cluster Analysis and performed by NTSYS 2.1. The result showed that there were five significant principal components that cumulatively explained 88.82% of variance. Existence of keel, aestivation type, position of stigma, type of stamen, and flower type gave high contributions to the diversity of accessions. Cluster analysis grouped the accessions into two clusters with dissimilarity coefficient from 3.01–6.83. From the results, it can be concluded that double petal butterfly pea from Indonesia and Thailand have wide diversity and genetic relationship; the accessions from Bali have different flower morphology and cluster compared to the accessions from East Java, West Java, and Thailand. The information will help planning management of the germplasm and breeding double petal butterfly pea.

scholarly journals Assessment of Physicochemical Properties of Tequila Brands: Authentication and Quality

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Alejandra Carreon-Alvarez ◽  
Amaury Suárez-Gómez ◽  
Florentina Zurita ◽  
Sergio Gómez-Salazar ◽  
J. Felix Armando Soltero ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Refractive Index ◽  
Physicochemical Properties ◽  
Analysis Of Variance ◽  
Principal Component ◽  
Component Analysis ◽  
Total Variability ◽  
And Cluster Analysis ◽  
Physicochemical Data

Several physicochemical properties were measured in commercial tequila brands: conductivity, density, pH, sound velocity, viscosity, and refractive index. Physicochemical data were analyzed by Principal Component Analysis (PCA), cluster analysis, and the one-way analysis of variance to identify the quality and authenticity of tequila brands. According to the Principal Component Analysis, the existence of 3 main components was identified, explaining the 87.76% of the total variability of physicochemical measurements. In general, all tequila brands appeared together in the plane of the first two principal components. In the cluster analysis, four groups showing similar characteristics were identified. In particular, one of the clusters contains some tequila brands that are not identified by the Regulatory Council of Tequila and do not meet the quality requirements established in the Mexican Official Standard 006. These tequila brands are characterized by having higher conductivity and density and lower viscosity and refractive index, determined by one-way analysis of variance. Therefore, these economical measurements, PCA, and cluster analysis can be used to determinate the authenticity of a tequila brand.

Study on Identification Method of 'Pingli' Gynostemma with Near-Infrared Spectroscopy

2013 ◽  
Vol 781-784 ◽  
pp. 1464-1468
Author(s):  
Xiu Hua Liu ◽  
Xiao Ting Li ◽  
Jing Wang ◽  
Rui Ying Li ◽  
Guang Chen Wu ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Principal Component ◽  
Component Analysis ◽  
Qualification Testing ◽  
And Cluster Analysis

In order to identify the authentic Pingli Gynostemma, a geographical indication products, diffuse reflectance spectroscopy of Gynostemma came from eight different origins were collected by the Fourier near-infrared spectrometer. The spectroscopy was analyzed with Chemometrics method, and the spectroscopy was pretreated by the vector normalization condition. The range of spectra was 4800-10096 cm-1. The Calibration models of Gynostemma were established by the principal component analysis, qualification testing and cluster analysis, respectively, and each model was verified. The results show that the optimal model established by the principal component analysis, qualification testing and cluster analysis can effectively identify authentic Pingli Gynostemma, and accuracy rate was 100%. In conclusion, Pingli Gynostemma can be identified accurately and quickly by the near-infrared spectroscopy technique.

Study on Identification Method of Zherong Radix Pseudostellariae with Near-Infrared Spectroscopy

2014 ◽  
Vol 989-994 ◽  
pp. 4028-4031
Author(s):  
Yan Ping Pang ◽  
Kun Liu ◽  
Li Ya Xia ◽  
Shao Long Yu
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Principal Component ◽  
Component Analysis ◽  
Qualification Testing ◽  
And Cluster Analysis

In order to identify the Zherong Radix Pseudostellariae, a geographical indication products, diffuse reflectance spectroscopy of came from ten different origins were collected by the Fourier near-infrared spectrometer. The spectroscopy was analyzed with Chemometrics method,and the spectroscopy was pretreated by the second derivative, first derivation and minus a straight line condition. The range of spectra was 3996.1-7282.5 cm-1. The Calibration models of Radix Pseudostellariae were established by the qualification testing, principal component analysis, and cluster analysis respectively, and each model was verified. The results show that the optimal model established by the qualification testing, principal component analysis and cluster analysis can effectively identify authentic Zherong Radix Pseudostellariae , and accuracy rate was more than 97.5%. In conclusion, Zherong Radix Pseudostellariae can be identified accurately and quickly by the near-infrared spectroscopy technique.

Sign in / Sign up

Export Citation Format

Share Document