scholarly journals Keanekaragaman genotipe-genotipe potensial dan penentuan keragaman karakter argo-morfologi ercis (Pisum sativum L.)

Jurnal Agro ◽  
10.15575/3230 ◽  
2018 ◽  
Vol 5 (2) ◽  
pp. 127-139
Author(s):  
Rawina Saragih ◽  
Darmawan Saptadi ◽  
Chindy Ulima Zanetta ◽  
Budi Waluyo
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Pisum Sativum ◽  
Pearson Correlation ◽  
Principal Component ◽  
Morphological Characters ◽  
Agglomerative Hierarchical Clustering ◽  
Pair Group ◽  
Pisum Sativum L ◽  
Index Value

Ercis (Pisum sativum L.) merupakan salah satu tanaman kacang komersial yang penting di dunia termasuk di Indonesia. Ercis lokal merupakan sumber populasi untuk meningkatkan kapasitas genetik hasil panen polong dan biji melalui seleksi galur murni. Tujuan penelitian ini untuk mempelajari jarak dan keanekaragaman genetik, serta keragaman karakter 37 genotipe potensial ercis hasil seleksi galur murni varietas lokal. Penelitian dilaksanakan pada bulan Maret hingga Juni 2018 di Desa Pendem, Kecamatan Junrejo, Kota Batu. Percobaan menggunakan rancangan acak kelompok dengan 37 genotipe sebagai perlakuan dan diulang tiga kali, sehingga terdapat 111 satuan percobaan. Pengamatan dilakukan pada masing-masing tanaman yakni karakter agronomi dan morfologi. Pengelompokan genetik didasarkan pada agglomerative hierarchical clustering dengan similiritas koefisien kolerasi Pearson dan metode aglomerasi unweighted pair group method average (UPGMA). Keanekaragaman genetik didasarkan pada indeks Shannon-Wiener (H’) dan indeks Shimpson (D). Keragaman karakter agronomi dan morfologi 37 genotipe ercis menggunakan principal component analysis (PCA) dengan pendekatan tipe korelasi Pearson. Berdasarkan analisis klaster 37 genotipe ercis terbagi menjadi 6 kelompok berdasarkan 61 karakter agro-morfologi dengan koefisien kemiripan 89-99%. Diversitas genetik ercis dikategorikan sedang dengan nilai indeks Shanon-Wiener 1,5 dan nilai indeks Simpson 0,26 yang menunjukkan tidak terdapat kelompok genetik yang mendominansi. Tiga puluh tujuh genotipe ercis memiliki keragaman yang luas. Keragaman kumulatif berdasarkan 61 karakter agro-morfologi yang diamati mencapai 87,83% yang melibatkan 44 karakter pada 16 komponen utama pertama.Pea (Pisum sativum L.) is one of the important commercial legumes in the world, including in Indonesia. The aims of the research were to study  genetic distance, diversity, and characters variability of 37 genotypes of pea. The experiment was conducted on March to June 2018 in Pendem, Junrejo, Batu City. The experimental design used a randomized block design with 37 genotypes as treatments and replicated three times. Observations was made on agronomic and morphological characters. Genetic grouping according to agglomerative hierarchical clustering with Pearson correlation coefficient similarity and unweighted pair group average agglomeration method (UPGMA). Genetic diversity based on Shannon-Wiener (H') index and Shimpson (D) index. Variability of agronomic and morphological characters in 37 genotypes was analyzed by principal component analysis (PCA) with Pearson correlation approach. The results showed that cluster analysis of 37 genotypes was divided into six groups in 61 agro-morphological characters with similarity coefficients of 89-99%. Genetic diversity was medium categorized with Shanon-Wiener index value of 1.5 and Simpson index value of 0.26. It was indicated that no dominating on genotypes group. Thirty seven genotypes of pea showed high variability. Cumulative variability on 61 observed agro-morphological characters reached 87.83% which involved 44 characters in 16 first principal components.

scholarly journals GENETIC DIVERSITY IN VEGETABLE PEA (Pisum sativum L.)

2013 ◽  
Vol 26 (1) ◽  
pp. 35-40
Author(s):  
M. Rahman ◽  
M. Hasan ◽  
R. N. Chowdhury ◽  
N. A. Ivy ◽  
M. M. Hossain
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Pisum Sativum ◽  
Genetic Divergence ◽  
Principal Component ◽  
Reducing Sugar ◽  
Pisum Sativum L ◽  
Close Relationship ◽  
Cluster Distance ◽  
Minimum Number

An investigation was carried out to identify the extent of genetic divergence of seventeen vegetable pea genotypes at the Bangabandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh. Genetic divergence was estimated using D2 and principal component analysis. The genotypes under study fell into 4 clusters. The distribution pattern indicated that the maximum numbers of genotypes (6) were included in cluster II and cluster III and the minimum number in cluster IV (1). The inter-cluster distance was higher than the intra-cluster distance which indicated wider genetic diversity among the accessions of different groups. The highest inter-cluster distance was observed between II and IV. The lowest inter-cluster distance was observed between clusters II and III suggesting a close relationship among the genotypes of these two clusters. The highest intra-cluster distance was observed for the cluster II. The positive values of vector I and vector II for plant height, 50% flowering and non-reducing sugar indicated that these characters had the highest contribution towards the divergence among the pea genotypes. The genotypes of vegetable pea from cluster II and cluster IV maybe selected as parents in future hybridization program.DOI: http://dx.doi.org/10.3329/bjpbg.v26i1.19982

scholarly journals Agro-morphological characterization based genetic diversity of Indonesian local rice germplasm

2021 ◽  
Vol 948 (1) ◽  
pp. 012004
Author(s):  
I W Mulsanti ◽  
A Risliawati ◽  
N Yunani
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Quantitative Data ◽  
Morphological Traits ◽  
Principal Component ◽  
Morphological Characters ◽  
Morphological Characterization ◽  
Tiller Number ◽  
Rice Germplasm ◽  
Productive Tiller

Abstract The present study was carried out to characterize 103 Indonesian local rice germplasm on the basis of 20 agro-morphological traits. The local rice germplasm originated from Riau and Jambi province in Sumatera island. Principal Component Analysis (PCA) was used to analyzed 11 quantitative data. PCA explained the genetic diversity of the rice germplasm accession. Most of the morphological characters showed variation in different accession. PC1 and PC2 explained about 32.5% and 22.1% of the variability, respectively. PCI and PC2 mostly related with traits such as productive tiller number (PTN), vegetative tiller number (VTN), plant height (PH), and culm length (CL). PCA-Biplot showed accession from Jambi and Riau manage to be separated, even though the PCA percent is only 54.6%. Accession originated from Riau marked by number of tillers (PTN, VTN), and grain weight (GW) traits. Based on cluster analysis, rice germplasm grouped in to 4 main clusters. Most of the accession from Jambi and Riau grouped in the same cluster, which is cluster I. Whereas eight local accessions from Riau grouped in the same cluster separately (cluster II). Two accession which are Padi Jarum (Acc 2711) and Ketan Hitam (Acc 9300) are individually, separated from others.

scholarly journals GENETIC VARIABILITY OF INDONESIAN PAPAYA ACCESSIONS AS REVEALED BY RANDOM AMPLIFIED POLYMORPHIC DNA AND MORPHOLOGICAL CHARACTERIZATION

2019 ◽  
Vol 20 (1) ◽  
pp. 1
Author(s):  
Riry Prihatini ◽  
Tri Budiyanti ◽  
Noflindawati Noflindawati
Keyword(s):  
Genetic Diversity ◽  
Random Amplified Polymorphic Dna ◽  
Principal Component ◽  
Accurate Method ◽  
Morphological Characters ◽  
Morphological Characterization ◽  
Fruit Shape ◽  
Morphological Data ◽  
Group Method ◽  
Pair Group

<p class="abstrakinggris">Diverse papaya (<em>Carica</em> sp.) accessions are found in many regions in Indonesia, but their genetic diversity have not yet been studied. Random Amplified Polymorphic DNA (RAPD) is a simple yet accurate method that can be used to examine the genetic diversity of papaya. The study aimed to examine the genetic diversity of Indonesian papaya accessions using RAPD markers and morphological characters. The RAPD was applied on 23 papaya accessions using 30 primers. The appearing bands were further analyzed with the Unweighted Pair Group Method with Arithmetic Mean (UPGMA) and Principal Component Analysis (PCA). The molecular results were then compared to the fruit morphological data, including fruit shape, size, flesh color, texture, and flavor. The RAPD analysis revealed that the 23 papaya accessions clustered into six main clades with Dice-Sorensen coefficient similarity ranged from 0.71 to 0.98. The first group consisted of 11 accessions, including both the hybrids and local accessions. The second group consisted of eight accessions especially six Indonesian hybrids, a Mexican Hybrid and a Hawaiian hybrid. The other four groups had a single member namely Sicincin Panjang, Lokal Sumani, Cariso, and Carica. The molecular grouping, however, did not align with the fruit character grouping. Overall, it was implied that the Indonesian papaya accessions were genetically narrow, of which some accessions were closely related to Hawaiian and Mexican accessions. These results can be used as a reference on papaya crossbreeding program in Indonesia.</p>

scholarly journals Seleksi Tomatillo (Physalis ixocarpa Brot. ex Hornem) untuk Hibridisasi Berdasarkan Karakter Morfologi

2019 ◽  
Vol 7 (2) ◽  
pp. 152-165
Author(s):  
Ermila Widyaelina ◽  
Budi Waluyo
Keyword(s):  
Principal Component Analysis ◽  
Vitamin A ◽  
Hierarchical Clustering ◽  
Principal Component ◽  
Component Analysis ◽  
Agglomerative Hierarchical Clustering ◽  
Pair Group ◽  
Augmented Design

Tomatillo (Physalis ixocarpa Brot ex. Hornem) adalah spesies dari family Solanaceae yang baru diintroduksi ke indonesia. Tomatillo dikonsumsi dalam berbagai macam olahan dan memiliki kandungan flavonoid, alkaloid, terpen, vitamin A dan C yang tinggi. Perakitan varietas unggul tomatillo dari Indonesia belum dilakukan. Pemuliaan tanaman tomatillo perlu dilakukan untuk pengembangan genotipe potensial sebagai induk untuk pembentukan varietas unggul baru. Penelitian ini memiliki tujuan untuk menentukan keragaman karakter dan pengelompokan genotipe tomatillo berdasarkan karakter morfologi. Penelitian ini menggunakan 20 genotipe dengan rancangan acak kelompok diperluas (augmented design). Keragaman karakter dianalisis dengan Principal Component Analysis (PCA) menggunakan pendekatan koefisien korelasi Pearson, dan analisis pengelompokan menggunakan Agglomerative Hierarchical Clustering (AHC) dengan ukuran kemiripan berdasarkan koefisien korelasi Pearson dan metode aglomerasi Unweighted Pair Group Average (UPGMA). Hasil penelitian menunjukkan keragaman antar karakter sebesar 90,62% dari 10 komponen utama dengan 27 karakter morfologi yang berkontribusi. 20 genotipe potensial memiliki kemiripan antar genotipe pada nilai 89,4% dan terbagi menjadi 3 kelompok pada nilai kemiripan 96,4%. Jarak genetik antar kelompok pertama dan kedua sebesar 0,026, antara kelompok kedua dan ketiga sebesar 0,032, dan antara kelompok pertama dan ketiga sebesar 0,081. Genotipe yang memiliki kemiripan paling tinggi atau jarak genetik paling dekat adalah Pixo[P14] dan Pixo[P22] serta Pixo[G35] dan Pixo[GY21 dengan nilai kemiripan 99,5% atau jarak genetik sebesar 0.005. Genotipe yang memiliki jarak genetik terjauh yaitu Pixo[P35] dan Pixo[GY11] dengan nilai kemiripan sebesar 81,8% atau memiliki jarak genetik sebesar 0,182.

Genetic Analysis of Chinese Cucumber Collections in the U.S. National Germplasm Collection

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 534e-534 ◽  
Author(s):  
J. Staub ◽  
Felix Sequen ◽  
Tom Horejsi ◽  
Jin Feng Chen
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Genetic Variation ◽  
Genetic Analysis ◽  
Allelic Variation ◽  
Germplasm Collection ◽  
Principal Component ◽  
Isozyme Loci ◽  
National Plant Germplasm System ◽  
The U.S

Genetic variation in cucumber accessions from China was assessed by examining variation at 21 polymorphic isozyme loci. Principal component analysis of allelic variation allowed for the depiction of two distinct groupings of Chinese accessions collected in 1994 and 1996 (67 accessions). Six isozyme loci (Gpi, Gr, Mdh-2, Mpi-2, Pep-gl, and Pep-la) were important in elucidating these major groups. These groupings were different from a single grouping of Chinese 146 accessions acquired before 1994. Allelic variation in Chinese accessions allowed for comparisons with other accessions in the U.S. National Plant Germplasm System (U.S. NPGS) collection grouped by continent and sub-continent. When Chinese accessions taken collectively were compared with an array of 853 C. sativus U.S. NPGS accessions examined previously, relationships differed between accessions grouped by country or subcontinent. Data indicate that acquisition of additional Chinese and Indian cucumber accessions would be strategically important for increasing genetic diversity in the U.S. NPGS cucumber collection.

Multivariate Analysis, Genetic Diversity and Phenotypic Correlation of Nineteen Exotic Groundnut Accessions

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
YPJ AMARASINGHE ◽  
G . WIJESINGHE ◽  
R W PUSHPAKUMARA
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Growth Parameters ◽  
Principal Component ◽  
Phenotypic Correlation ◽  
Clustering Method ◽  
Yield Parameters ◽  
Arachis Hypogaea L ◽  
Semi Arid ◽  
Number Of Branches

19 Groundnut ( Arachis hypogaea L. ) genotypes receiv ed from International Crops Research Institute for Semi Arid T ropics (ICRISA T) India w ere ev aluated in a non replicated trial and the characters w ere subjected to multiv ariate analysis to study the v ariability within the genotypes. The first 5 axes of the principal component analysis captured 78% of the total v ariability and identified yield parameters such as number of pods per plant, pod w eight per plant and growth parameters such as number of branches per plant, plant spread, and pod characteristics as the characters contributing most to total v ariation. Phenotypic correlation analysis rev ealed that the yield has positiv e correlation with the characters such as number of pods per plant and number of branches per plant. W ards clustering method has grouped the genotypes into 3 distinct clusters. The results can be applied in order to strengthen the breeding program

scholarly journals Screening of Twelve Pea (Pisum sativum L.) Cultivars and Their Isolates Focusing on the Protein Characterization, Functionality, and Sensory Profiles

Foods ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 758
Author(s):  
Verónica García Arteaga ◽  
Sonja Kraus ◽  
Michael Schott ◽  
Isabel Muranyi ◽  
Ute Schweiggert-Weisz ◽  
...  
Keyword(s):  
Pisum Sativum ◽  
Functional Properties ◽  
Protein Extraction ◽  
Raw Materials ◽  
Principal Component ◽  
Protein Characterization ◽  
Sensory Profile ◽  
Food Ingredients ◽  
Pisum Sativum L ◽  
Sensory Profiles

Pea protein concentrates and isolates are important raw materials for the production of plant-based food products. To select suitable peas (Pisum sativum L.) for protein extraction for further use as food ingredients, twelve different cultivars were subjected to isoelectric precipitation and spray drying. Both the dehulled pea flours and protein isolates were characterized regarding their chemical composition and the isolates were analyzed for their functional properties, sensory profiles, and molecular weight distributions. Orchestra, Florida, Dolores, and RLPY cultivars showed the highest protein yields. The electrophoretic profiles were similar, indicating the presence of all main pea allergens in all isolates. The colors of the isolates were significantly different regarding lightness (L*) and red-green (a*) components. The largest particle size was shown by the isolate from Florida cultivar, whereas the lowest was from the RLPY isolate. At pH 7, protein solubility ranged from 40% to 62% and the emulsifying capacity ranged from 600 to 835 mL g−1. The principal component analysis revealed similarities among certain pea cultivars regarding their physicochemical and functional properties. The sensory profile of the individual isolates was rather similar, with an exception of the pea-like and bitter attributes, which were significantly different among the isolates.

PSXIII-26 Supplementation with a polyphenolic pine bark extract reduces ammonia nitrogen production in a RUSITEC system as determined by principal component analysis

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 435-436
Author(s):  
Nelson Vera ◽  
Constanza Gutierrez ◽  
Pamela Williams ◽  
Cecilia Fuentealba ◽  
Rodrigo Allende ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Repeated Measures ◽  
Pearson Correlation ◽  
Principal Component ◽  
Component Analysis ◽  
Ammonia Nitrogen ◽  
Pine Bark ◽  
Bark Extract ◽  
Ruminal Fermentation ◽  
Fermentation Parameters

Abstract The aim of the study was to correlate the effects of supplementation with a polyphenolic pine bark extract (PBE) in diets with different forage to concentrate (F:C) ratio on methane (CH4), ammonia nitrogen (NH3–N) production and ruminal fermentation parameters using the Rumen Simulation Technique (RUSITEC). The experimental diets were F:C 70:30 (HF) or F:C 30:70 (HC) with or without 2% PBE on a DM basis. The four diets were isoproteic (15% CP), with similar OM (HF 94% and HC 96%), but different NDF (HF 40% and HC 25%). The treatments, in duplicate, were assigned in an 8 fermenter RUSITEC apparatus. Incubations were run twice, with 5 days of sampling after 10 days adaptation. The experimental design was a 2x2 factorial arrangement in a randomized complete block with repeated measures. Pearson correlation and principal component analysis (PCA) were conducted to elucidate relationships among PBE total polyphenols (TP) and the variables evaluated. The TP was highly correlated with NH3–N (r = –0.98; P &lt; 0.001) and butyrate (r = –0.85; P &lt; 0.001), and had a high correlation with propionate (r = 0.75; P &lt; 0.001) and acetate (r = 0.68; P = 0.001). Correlation with total VFA was moderate (r = –0.59; P = 0.006), and CH4 yield and IVDMD there were not correlated (r ≤ –0.07; P ≥ 0.188). The PCA (KMO = 0.655; BTS &lt; 0.001) shows that 75.2% of the total variation is explained by the first two principal components (PC1 = 46.5% and PC2 = 28.7%). In the score plot, PC1 discriminated between diets with and without PBE, while the PC2 separated based on NDF. The loading plot showed that TP and propionate were clustered, and had inverse directions to NH3–N. In conclusion, the PBE supplementation reduces NH3–N production in a RUSITEC system without decreasing CH4 yield or negatively affecting ruminal fermentation parameters.

Genetic Diversity Assessment in Dolichos Bean (Lablab purpureus L.) Based on Principal Component Analysis and Single Linkage Cluster Analysis

2021 ◽  
Author(s):  
S.R. Singh ◽  
S. Rajan ◽  
Dinesh Kumar ◽  
V.K. Soni
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Single Linkage ◽  
Pod Yield ◽  
Diversity Assessment ◽  
Single Linkage Cluster ◽  
Linkage Cluster

Background: Dolichos bean occupies a unique position among the legume vegetables of Indian origin for its high nutritive value and wider climatic adaptability. Despite its wide genetic diversity, no much effort has been undertaken towards genetic improvement of this vegetable crop. Knowledge on genetic variability is an essential pre-requisite as hybrid between two diverse parental lines generates broad spectrum of variability in segregating population. The current study aims to assess the genetic diversity in dolichos genotypes to make an effective selection for yield improvement.Methods: Twenty genotypes collected from different regions were evaluated during year 2016-17 and 2017-18. Data on twelve quantitative traits was analysed using principal component analysis and single linkage cluster analysis for estimation of genetic diversity.Result: Principal component analysis revealed that first five principal components possessed Eigen value greater than 1, cumulatively contributed greater than 82.53% of total variability. The characters positively contributing towards PC-I to PC-V may be considered for dolichos improvement programme as they are major traits involved in genetic variation of pod yield. All genotypes were grouped into three clusters showing non parallelism between geographic and genetic diversity. Cluster-I was best for earliness and number of cluster/plant. Cluster-II for vine length, per cent fruit set, pod length, pod width, pod weight and number of seed /pod, cluster III for number of pods/cluster and pod yield /plant. Selection of parent genotypes from divergent cluster and component having more than one positive trait of interest for hybridization is likely to give better progenies for development of high yielding varieties in Dolichos bean.

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