DIVA-GIS based insight into geographical distribution and diversity spectrum of Indian sunnhemp (Crotalaria juncea L.) accessions suitable for diversified applications

2019 ◽  
Author(s):  
R. T. Maruthi ◽  
A. A. Kumar ◽  
S. B. Choudhary ◽  
H. K. Sharma ◽  
Jiban Mitra
Keyword(s):  
Geographical Distribution ◽  
Seed Yield ◽  
Diversity Index ◽  
Principal Component ◽  
Morphological Diversity ◽  
Hierarchical Cluster ◽  
Morphological Characters ◽  
Mean Values ◽  
North West ◽  
Agglomerative Hierarchical Cluster Analysis

Commercial prospects of sunnhemp inspired present study to understand geographical distribution pattern(s) and to scale agro-morphological diversity spectrum of forty-four sunnhemp accessions naturalized across diverse habitats of India. Field experiment revealed broad spectrum diversity for all the 11 agro-morphological traits. Wider range of plant height (110.50 to 173.17 cm), number of pods per plant (35.33 to 143.00), seeds per pod (6.33-15.17g) and seed yield per plant (8.27-29.43g) highlighted the adequacy of present genetic resources to improve sunnhemp for diversified applications. Principal component analysis of the agro-morphological characters identified the first PC with 1109.6 eigen value explaining 61.70% of total variation followed by PC-II (22.9%) and PC-III (11.1%). In PC-I significant contribution was made by traits like NLP, NPP and PH. Agglomerative hierarchical cluster analysis grouped all accessions into four distinct seed producing clusters irrespective of their origin. Cluster wise mean values suggested that cluster-II is the best with outstanding trait values for majority of traits. DIVA-GIS based analysis identified accessions from Rajasthan, Western Gujarat and Jharkhand with high diversity index for number of leaves/plant. But, accessions from North West Jharkhand and Maharashtra with highest diversity index for seed yield/plant.

scholarly journals Genetic Diversity and Taxonomic Studies of Allium Akaka and A. Elburzense Native to Iran Using Morphological Characters

2017 ◽  
Vol 25 (1) ◽  
pp. 99-115 ◽  
Author(s):  
Sajad Jafari ◽  
Mohammad Reza Hassandokht ◽  
Mahdi Taheri ◽  
Abdolkarim Kashi
Keyword(s):  
Principal Component ◽  
Morphological Diversity ◽  
Hierarchical Cluster ◽  
Dry Weight ◽  
Morphological Characters ◽  
Leaf Length ◽  
Seed Length ◽  
Allium Species ◽  
Fresh Vegetables ◽  
Wild Accessions

AbstractTwo Allium species (A. akaka S.G. Gmelin and A. elburzense W.) native to Iran are used locally as the fresh vegetables and in medical therapy. They are not cultivated, but are collected from the wild, thus, will soon be threatened with extinction. In this study, the diversity of 15 wild accessions (4 accessions of A. elburzense endemic of Iran and 11 accessions of A. akaka) collected from the north-western part of Iran were evaluated with the use of 16 qualitative and 16 quantitative characteristics. The morphological characters with high heritability included leaf length, flower number in umbel, inflorescence diameter, leaf dry weight, bulb fresh weight, weight of 100 seeds, seed length and seed length/width. Results of the principal component analysis indicated that 92.52% of the observed variability was explained by the first six components. The first two components explained about 64.74% of the total observed variability. The first and third hierarchical cluster analysis included all accessions of A. akaka. The accessions of A. elburzense, except one, were placed in a separate cluster. These morphological descriptors can successfully apply for evaluating morphological diversity of Allium wild accessions and can help in horticultural usage.

Evaluation of morphological diversity of field pea [Pisum sativum subsp.arvense (L.)] germplasm under sub-tropical climate of Manipur

2016 ◽  
Author(s):  
S. Bhuvaneswari ◽  
Susheel Kumar Sharma ◽  
P. Punitha ◽  
K. S. Shashidhar ◽  
K. L. Naveenkumar ◽  
...  
Keyword(s):  
Seed Yield ◽  
Quantitative Traits ◽  
Principal Component ◽  
Morphological Diversity ◽  
Field Pea ◽  
Plant Seed ◽  
Diverse Field ◽  
Early Maturing ◽  
Linkage Method ◽  
Practical Field

An investigation was carried out to evaluate 51 diverse field pea genotypes at Langol Research farm, ICAR, RC, NEH region, Manipur centre for nine yield related quantitative traits and four morphological qualitative traits for practical field pea improvement in Manipur. The combined analysis of variance of genotypes for all the nine traits was found to be significant. The amount of variability in one variable as a linear function of another variable was also measured through phenotypic and genotypic correlation among nine quantitative traits. The pod number per plant, seed number per pod and 100 seed weight showed significant positive correlation with seed yield per plant both at phenotypic and genotypic levels. Multivariate analysis using principal component analysis (PCA) indicated that three principal components (PCs) accounted for > 75% of the total variation. The genotypes were grouped into seven clusters using distance based Agglomerative “Average linkage” method. Three genotypes IPF-5-19, EC-8495, HUDP-15 belonging to cluster II and DDR-30, early maturing variety belonging to Cluster VI were found promising in terms of seed yield for the region.

scholarly journals Morphological diversity of Sri Lankan traditional rice varieties “Pachchaperumal” and “Suduru samba”

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Elpitiya Udari Uvindhya Rathnathunga ◽  
Sudarshanee Geekiyanage
Keyword(s):  
Yield Components ◽  
Growth Parameters ◽  
Morphological Diversity ◽  
Hierarchical Cluster ◽  
Morphological Characters ◽  
Sri Lankan ◽  
Rice Varieties ◽  
Grain Width ◽  
Positive Correlations ◽  
Traditional Rice

AbstractSri Lankan traditional rice varieties consist of more than one accession mostly which, exhibit a wide variation in morphological characters, flowering time and yield. The objective of this study was to evaluate the diversity based on days to flowering (DF) and 12 morphological characters of two Sri Lankan traditional rice varieties Pachchaperumal and Suduru samba comprising of 13 and 7 accessions respectively. DF of Pachchaperumal and Suduru samba varied from 60 - 72 and 79 - 99 days respectively. Vegetative morphological characters and yield components also varied among Pachchaperumal and Suduru samba accessions while pericarp colour, grain width, and length were distinct characters between the two varieties. According to the hierarchical cluster analysis, 2 major clusters were identified at the rescale distance of 25 separating accessions of Pachchaperumal and Suduru samba except for accession 3136 of Pachchaperumal, which was located in Sudura samba cluster. Seven clusters were derived at rescaled distance of 5 where accessions of similar quantitative and qualitative morphological characters were clustered together. There were negative correlations between DF and selected yield components in contrast to positive correlations between DF and selected vegetative growth parameters. Our results may be useful in the determination of identity of accessions belonging to the same variety, which could be further supported by molecular analysis.

scholarly journals Genetic Variability and Diversity Analysis in Pod and Seed Characters of Some Neglected and Underutilized Legumes (NULs)

2019 ◽  
pp. 1-8
Author(s):  
J. O. Agbolade ◽  
T. P. Olakunle ◽  
K. M. Popoola ◽  
J. A. Idowu ◽  
A. I. Isiaka ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Principal Component ◽  
Morphological Characters ◽  
Morphological Data ◽  
Diversity Analysis ◽  
International Institute ◽  
Mean Values ◽  
The Mean ◽  
Pod Length ◽  
100 Seed Weight

In response to the paucity of information challenge on the neglected and underutilized legumes, this paper explored pods and seeds morphological data of the twenty-four accessions of these crops with a view to establishing the occurrence of genetic variability and diversity analysis among the studied taxa. Twenty-four accessions of neglected and underutilized legumes (NULs) obtained from International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria were assessed for genetic variability and diversity analysis through Pod and seed morphological characters. Each accession was planted into plot of 5 ridges of 5 meter long, spaced 1 meter apart and replicated three times at the teaching and research farm of the Federal University Oye Ekiti, Ekiti State, Nigeria. Descriptive statistics was employed to evaluate differences in the mean values of the accessions while discriminatory traits among accessions were identified by Principal Component Analysis (PCA). Similarities among the studied plants were assessed by cluster analysis. The first two principal component axes explained 72% of the total variation. Pod length, pod width and 100-seed weight were traits that contributed most of the variations in the legume accessions. There was a display of intra-species similarities and inter-specific genetic diversity among the studied accessions.

scholarly journals Polymorphism analysis in some Algerian Opuntia species using morphological and phenological UPOV descriptors

2017 ◽  
Vol 95 (3) ◽  
pp. 391 ◽  
Author(s):  
Boubakr Hadjkouider ◽  
Ammar Boutekrabt ◽  
Bahia Lallouche ◽  
Salim Lamine ◽  
Néjia Zoghlami
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Phenotypic Diversity ◽  
Principal Component ◽  
Morphological Diversity ◽  
Hierarchical Cluster ◽  
Relative Magnitude ◽  
Polymorphism Analysis ◽  
Opuntia Ficus Indica ◽  
New Varieties

<p><strong>Background: </strong>In the present study, we have investigated the morphological variation in a set of five <em>Opuntia</em> species from the Algerian steppes using 49 UPOV descriptors.</p><p><strong>Questions: </strong>which of the 49 descriptors that can be used as powerful estimators of the phenotypic diversity within <em>Opuntia</em> species? How is the morphological diversity patterned in Algerian <em>Opuntia</em>?</p><p><strong>Species study/ Mathematical model: </strong><em>Opuntia ficus-indica, Opuntia amycleae, Opuntia streptacantha, Opuntia engelmannii, Opuntia robusta</em><strong>.</strong> Principal Components Analysis (PCA) and Hierarchical Cluster Analysis were used.</p><p><strong>Study site: </strong>Four counties were studied located in the Algerian steppes. The present research was carried out during 2014.</p><p><strong>Methods:</strong> 49 descriptors adopted by the International Union for the Protection of New Varieties of Plants (UPOV) were employed in the present research, where cladode, flower and fruit traits were used to determine the overall degree of polymorphism among 5 <em>Opuntia</em> species.</p><p><strong>Results:</strong> Principal Component Analysis and Hierarchical Cluster Analysis indicated a consistent differentiation between all studied species. The relative magnitude of the first two PCA eigenvectors showed that 8 descriptors out of 49 were identified as the most important descriptors for the classification of the species. The dendrogram performed on the calculated Euclidean distances between all species pairs allowed the identification of 3 groups, unlike the PCA that identified 4 groups. The species <em>Opuntia ficus-indica </em>and <em>Opuntia amycleae</em> were identified as very close morphologically.</p><p><strong>Conclusions: </strong>The present outcome represents a paramount step towards the fast selection of interesting species and for their best management and conservation.</p>

Supplemental Material: A sub-centennial-scale optically stimulated luminescence chronostratigraphy and late Holocene flood history from a temperate river confluence

2020 ◽  
Author(s):  
Ben Pears
Keyword(s):  
Statistical Analysis ◽  
Accumulation Rate ◽  
Sediment Accumulation ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Sediment Accumulation Rate ◽  
Data Sets ◽  
Raw Data ◽  
Summary Sheet ◽  
Agglomerative Hierarchical Cluster Analysis

S1–S16; Figures S1 (sediment accumulation rate modeled by OxCal and Bacon) and S2 (relative moisture values between OSL and LOI analytical methods); Table S1 (OSL procedure from the Rivers Severn-Teme confluence at Powick, UK); and Data Sets S1 (raw data for the modeled calendric dates, sediment accumulation rate, and sedimentological analyses), S2 (raw and log normalized data for ITRAX XRF analysis and key elements Zr, Rb, Fe, Mn, and heavy metals illustrated in Fig. 2), S3 (individual raw data sets for each 5 cm pOSL run alongside a background sediment sample and a summary sheet of all data and replicates), S4 (raw data, log normalized data, and statistical analysis used in the agglomerative hierarchical cluster analysis illustrated in Fig, 2), S5 (calculated log data of sedimentary analyses by 50 yr period and the statistical analysis used in the principal component analysis illustrated in Fig. 3), and S6 (20 yr grouping for the sediment deposition models for the Severn-Teme confluence at Powick, Broadwas, and Buildwas and climatic datasets illustrated in Fig. 4)<br>

scholarly journals The phytochemical and morphological diversity analysis of Ziziphus nummularia (Burm.f.) Wight & Arn. populations in South of Iran

2020 ◽  
Vol 48 (2) ◽  
pp. 588-603
Author(s):  
Kourosh ZANDIFAR ◽  
Hassanali NAGHID BADI ◽  
Ali MEHRAFARIN ◽  
Majid G. NOHOOJI
Keyword(s):  
Wild Population ◽  
Principal Component ◽  
Morphological Diversity ◽  
Hierarchical Cluster ◽  
Leaf Length ◽  
Wild Populations ◽  
Significant Difference ◽  
In The Wild ◽  
Ziziphus Nummularia ◽  
High Diversity

Ziziphus nummularia is a multipurpose and tropical tree with medicinal, nutritional, industrial, and economic values. This tree, which belongs to the Rhamnaceae family, is originated from the South of Asia and North of Africa. This research was carried out to investigate the phytochemical and morphological diversity of 20 wild populations collected from different Southern regions of Iran. Statistical significant difference ranges between population were found in respect to saponin of the leaf (2.2-5.4 mg/g) and fruit (1.2-3.2 mg/g), phenol of the leaf (0.7-2.9 mg/g) and fruit (0.03-0.4 mg/g), tannin of the leaf (0.8-3.5 mg/g) and fruit (1.5-1.7 mg/g), and flavonoid of the leaf (3.3-4.3 mg/g) and fruit (1.5-2.4 mg/g). A factor analysis based on principal component analysis (PCA) revealed that the first three components (PC1-PC3) explain 79.04% of total variations. The first component (PC1) is explained by the most important traits of the PCA coefficient such as the leaf saponin, width of the end leaf, fruit saponin, length of the end leaf, leaf length and width, and leaf phenol with 42% of the total variation. Hierarchical cluster analysis divided the populations into four main groups with high diversity. In general, the Izeh Tarakab population had the highest content of leaf and fruit saponin. The content of leaf and fruit saponin as the major secondary metabolite could be a good determinant for detecting diversity in the wild population of Z. nummularia.

scholarly journals Motor Capacities in Boys with High Functioning Autism: Which Evaluations to Choose?

2019 ◽  
Vol 8 (10) ◽  
pp. 1521
Author(s):  
Véronique-Aurélie BRICOUT ◽  
Marion PACE ◽  
Léa DUMORTIER ◽  
Sahal MIGANEH ◽  
Yohan MAHISTRE ◽  
...  
Keyword(s):  
Small Sample Size ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Autism Spectrum ◽  
Small Sample ◽  
Ensemble Classification ◽  
Control Group ◽  
Children With Asd ◽  
Agglomerative Hierarchical Cluster Analysis ◽  
Motor Tests

The difficulties with motor skills in children with autism spectrum disorders (ASD) has become a major focus of interest. Our objectives were to provide an overall profile of motor capacities in children with ASD compared to neurotypically developed children through specific tests, and to identify which motor tests best discriminate children with or without ASD. Twenty-two male children with ASD (ASD—10.7 ± 1.3 years) and twenty controls (CONT—10.0 ± 1.6 years) completed an evaluation with 42 motor tests from European Physical Fitness Test Battery (EUROFIT), the Physical and Neurological Exam for Subtle Signs (PANESS) and the Movement Assessment Battery for Children ( M-ABC). However, it was challenging to design a single global classifier to integrate all these features for effective classification due to the issue of small sample size. To this end, we proposed a hierarchical ensemble classification method to combine multilevel classifiers by gradually integrating a large number of features from different motor assessments. In the ASD group, flexibility, explosive power and strength scores (p < 0.01) were significantly lower compared to the control group. Our results also showed significant difficulties in children with ASD for dexterity and ball skills (p < 0.001). The principal component analysis and agglomerative hierarchical cluster analysis allowed for the classification of children based on motor tests, correctly distinguishing clusters between children with and without motor impairments.

scholarly journals Supplemental Material: A sub-centennial-scale optically stimulated luminescence chronostratigraphy and late Holocene flood history from a temperate river confluence

2020 ◽  
Author(s):  
Ben Pears
Keyword(s):  
Statistical Analysis ◽  
Accumulation Rate ◽  
Sediment Accumulation ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Sediment Accumulation Rate ◽  
Data Sets ◽  
Raw Data ◽  
Summary Sheet ◽  
Agglomerative Hierarchical Cluster Analysis

S1–S16; Figures S1 (sediment accumulation rate modeled by OxCal and Bacon) and S2 (relative moisture values between OSL and LOI analytical methods); Table S1 (OSL procedure from the Rivers Severn-Teme confluence at Powick, UK); and Data Sets S1 (raw data for the modeled calendric dates, sediment accumulation rate, and sedimentological analyses), S2 (raw and log normalized data for ITRAX XRF analysis and key elements Zr, Rb, Fe, Mn, and heavy metals illustrated in Fig. 2), S3 (individual raw data sets for each 5 cm pOSL run alongside a background sediment sample and a summary sheet of all data and replicates), S4 (raw data, log normalized data, and statistical analysis used in the agglomerative hierarchical cluster analysis illustrated in Fig, 2), S5 (calculated log data of sedimentary analyses by 50 yr period and the statistical analysis used in the principal component analysis illustrated in Fig. 3), and S6 (20 yr grouping for the sediment deposition models for the Severn-Teme confluence at Powick, Broadwas, and Buildwas and climatic datasets illustrated in Fig. 4)<br>

scholarly journals Morphological variation of wild peppers (Capsicum spp.) from the state of Tabasco, Mexico

2018 ◽  
pp. 115 ◽  
Author(s):  
Julio C. V.-Ventura, Efrain de la Cruz-Lazaro ◽  
Rodolfo Osorio- Osorio ◽  
Pablo Preciado- Rangel
Keyword(s):  
Morphological Variability ◽  
Principal Component ◽  
Morphological Diversity ◽  
Fruit Shape ◽  
Field Trips ◽  
Leaf Length ◽  
The State ◽  
Mean Values ◽  
Capsicum Spp ◽  
Branch Density

The pepper (Capsicum spp.) is one of the most important vegetables in Mexico. The aim of this study was to collect wild peppers and characterize in situ their morphological diversity. From January to November 2015, field trips were made to 54 locations in 15 municipalities in the state of Tabasco, Mexico; 131 collections were obtained in which a total of 23 plant, flower and fruit variables were evaluated. With the mean values of the variables, principal component (PC) and cluster analyses were performed. The first three PCs explained 65.2% of total morphological variability, with the variables fruit length, fruit shape, fruit width, leaf width, leaf length, plant height and branch density providing a greater explanation for the diversity. Cluster analysis grouped the 131 collections into two groups, one formed by the morphotypes 'Amashito', 'Garbanzo' and 'Ojo de cangrejo', with characteristics of C. annuum var. Glabriusculum, and the second group with the morphotype 'Pico de paloma' with characteristics of the species C. frutescens L. It is concluded that the wild peppers of the State of Tabasco have morphological diversity, which must be preserved as a genetic resource of interest.

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