scholarly journals Morphological characterization and hierarchical classification of 40 bush pea genotypes (Pisum sativum L.)

2021 ◽  
Vol 15 (2) ◽  
Author(s):  
Verónica Rosero-Lombana ◽  
Oscar Checa-Coral
Keyword(s):  
Multiple Correspondence Analysis ◽  
Hierarchical Classification ◽  
Principal Component ◽  
Morphological Characterization ◽  
The European Union ◽  
Color Degree ◽  
Qualitative Variables ◽  
Total Variability ◽  
New Varieties ◽  
Hierarchical Classification Analysis

The Universidad de Nariño is home to a collection of bush pea plantlets that are a source of biodiversity for the genetic improvement of pea species in Colombia. The characterization of these accessions is required to identify genotypes with attributes that could be used in the search for new varieties. For the morphological characterization, 40 pea accessions were planted in Pasto, Colombia. 23 quantitative variables and 12 qualitative variables were documented, descriptors proposed for this species by the European Union in 2003. The data were subjected to Principal Component Analysis and Multiple Correspondence Analysis. Finally, a hierarchical classification method was applied using Ward’s method. The first four components, which explained 78.80% of the total variability of the population, were selected for the quantitative variables. Four groups were identified. Genotypes with the afila gene, which are of interest for pea breeding programs, were found in groups 1 and 2. The highest seed weight was in group 1, and the genotypes with the best reaction to powdery mildew were in group four. For the qualitative variables, the first six factors, which described 60.51% of the variability, were selected, and the hierarchical classification analysis resulted in five groups. The qualitative characteristics that contributed more to the differentiation of the groups included leaflet type, hilum color, degree of curvature of the pod, color and shape of the grain.

scholarly journals Morphological characterization of elite cacao trees (Theobroma cacao L.) in Tumaco, Nariño, Colombia

2016 ◽  
Vol 9 (2) ◽  
pp. 313 ◽  
Author(s):  
William Ballesteros P. ◽  
Tulio César Lagos B. ◽  
Hugo Ferney L.
Keyword(s):  
Multiple Correspondence Analysis ◽  
Rural Poverty ◽  
Principal Component ◽  
Morphological Characterization ◽  
Anthocyanin Pigmentation ◽  
Cocoa Beans ◽  
Moniliophthora Perniciosa ◽  
Plant Collections ◽  
And Cluster Analysis

The cacao has become an essential part of the fight against the effects of illegal crops and rural poverty in Colombia. Because of their bromatological characteristics, cocoa beans are preferred in markets. However, there are few studies on the variability of the regional genotypes. The goal of this study was to characterize the cacao trees in Tumaco, Nariño (Colombia) and establish their morpho-agronomic variability. Plant collections were conducted in five production zones of the municipality between 0 to 270 m. On each farm, the productivity and plant health variables were recorded for the outstanding plants. The characterization was carried out using a Principal Component Analysis (PCA), Multiple Correspondence Analysis (MCA) and Cluster analysis. In the PCA, the first five components explained 70.2% of the variation. The first three components were characterized by productivity, while the last two components showed a low pod and grain index. In the MCA, the first three factors expressed 39.5% of the variation. The first three corresponded to the cundeamor cacao, acute pod apex, absence of anthocyanin in ripe fruits, without notable pulvinus, staminodes without anthocyanins, and moderately susceptible to <em>Moniliophthora perniciosa</em>. The last two components reported tolerance to <em>M. roreri</em> and <em>Crinnipellis perniciosa, </em>intense anthocyanin pigmentation on the floral buttons and Angoleta-shaped fruit. The selected genotypes showed important characteristics that must be analyzed with molecular and sensorial analyses.

scholarly journals Selection of the Most Discriminating Morphological Qualitative Variables for Characterization of Fig Germplasm

2010 ◽  
Vol 135 (3) ◽  
pp. 240-249 ◽  
Author(s):  
Esther Giraldo ◽  
Margarita López-Corrales ◽  
José Ignacio Hormaza
Keyword(s):  
Principal Components ◽  
Principal Component ◽  
Group Method ◽  
Germplasm Collections ◽  
Pair Group ◽  
Morphological Studies ◽  
Production Type ◽  
Qualitative Variables ◽  
Total Variability

Most descriptor lists for the characterization of genetic resources in plants include a large number of traits whose evaluation is a lengthy and expensive process making the characterization of large germplasm collections difficult. Consequently, to facilitate the study and the conservation of germplasm, it is important to select carefully the most informative variables for each species. In this work, we applied sequential statistical procedures to select the most discriminant variables in fig (Ficus carica L.) from the initial 134 qualitative variables studied. A total of 34 variables was finally selected and broken down in 97 characters that were grouped by principal component analysis in 11 principal components that explain 93.34% of the total variability. The unweighted pair group method with arithmetic mean dendrogram derived from a similarity matrix generated using the Pearson's correlation coefficient among the 11 principal components selected classifies the cultivars in four main groups mainly based in the production type. These results show that redundant information can be obtained in morphological studies with a large number of variables resulting from correlation between variables. Consequently, a carefully selected and reduced number of highly discriminating variables can allow efficient fig germplasm characterization and discrimination resulting in significant savings of time and resources.

scholarly journals The Use of Multiple Correspondence Analysis to Explore Associations between Categories of Qualitative Variables in Healthy Ageing

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Patrício Soares Costa ◽  
Nadine Correia Santos ◽  
Pedro Cunha ◽  
Jorge Cotter ◽  
Nuno Sousa
Keyword(s):  
Executive Function ◽  
Correspondence Analysis ◽  
Clustering Analysis ◽  
Multiple Correspondence Analysis ◽  
Principal Component ◽  
Large Datasets ◽  
Cognitive Ageing ◽  
Qualitative Variables ◽  
Statistical Results ◽  
Cognitive Dimensions

The main focus of this study was to illustrate the applicability of multiple correspondence analysis (MCA) in detecting and representing underlying structures in large datasets used to investigate cognitive ageing. Principal component analysis (PCA) was used to obtain main cognitive dimensions, and MCA was used to detect and explore relationships between cognitive, clinical, physical, and lifestyle variables. Two PCA dimensions were identified (general cognition/executive function and memory), and two MCA dimensions were retained. Poorer cognitive performance was associated with older age, less school years, unhealthier lifestyle indicators, and presence of pathology. The first MCA dimension indicated the clustering of general/executive function and lifestyle indicators and education, while the second association was between memory and clinical parameters and age. The clustering analysis with object scores method was used to identify groups sharing similar characteristics. The weaker cognitive clusters in terms of memory and executive function comprised individuals with characteristics contributing to a higher MCA dimensional mean score (age, less education, and presence of indicators of unhealthier lifestyle habits and/or clinical pathologies). MCA provided a powerful tool to explore complex ageing data, covering multiple and diverse variables, showing if a relationship exists and how variables are related, and offering statistical results that can be seen both analytically and visually.

scholarly journals Selection of Habanero Pepper F1 Hybrids (Capsicum chinense Jacq.) at the Yucatan Peninsula, Mexico with a High Potential for Different Markets

Agriculture ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 478
Author(s):  
Liliana S. Muñoz-Ramírez ◽  
Laura P. Peña-Yam ◽  
Martha A. Álvarez-Gil ◽  
Lourdes G. Iglesias-Andreu ◽  
Susana A. Avilés-Viñas ◽  
...  
Keyword(s):  
Multiple Correspondence Analysis ◽  
Block Design ◽  
Plant Genetic Resources ◽  
Principal Component ◽  
F1 Hybrids ◽  
Habanero Pepper ◽  
Productive Potential ◽  
Total Variability ◽  
Fruit Pericarp ◽  
Pericarp Thickness

This study evaluated 29 F1 lines and the 11 genotypes of habanero peppers used in the crossbreeding program developed by the Scientific Research Center of Yucatan, México. A randomized complete block design with four repetitions was used. Eight plants of each of the genotypes were studied per block. A total of 22 qualitative and 18 quantitative descriptors established in the manuals of the International Plant Genetic Resources Institute (IPGRI) and the National Service for Seed Inspection and Certification (SNICS) was used. The multiple correspondence analysis of the qualitative traits explained 38.2% of the total variability. The trait that contributed the most to the qualitative variability identified was the presence of anthocyanins in the node. Principal component analysis showed that the first two axes explained 85.1% of the total variability and that capsaicin content and fruit pericarp thickness were the major contributors to the variation recorded. Based on these results, four F1 hybrids of habanero pepper were selected because of their promising traits for the different markets, i.e., high productive potential and/or high pungency. These traits are described in the section on Results.

scholarly journals Testing a Methodologic Approach to Territory Categorization Using Census Data

2017 ◽  
Vol 5 (1) ◽  
pp. 345
Author(s):  
Margarida Miguel Costeira e Pereira ◽  
Helena Guilhermina da Silva Marques Nogueira
Keyword(s):  
Principal Component Analysis ◽  
Census Data ◽  
Planning Process ◽  
Hierarchical Classification ◽  
Principal Component ◽  
Component Analysis ◽  
Social Aspects ◽  
Analysis Techniques ◽  
Hierarchical Classification Analysis ◽  
Section Level

The more traditional perspective in Geography views territory as a dichotomous reality of sociodemographic and biophysical characteristics yet, literature states that both territorial dimensions coexist and interact. The number of indicators for each territorial dimension is vast which makes the territory categorization a complex task. Despite it, territory categorization generates knowledge about the differences between territories that improve the planning process and make it more directed and strategic. This work main goal is to test a methodologic approach to categorize Lisbon Municipality area at the statistical section level, integrating information on the physical and social aspects. For this purpose, multivariate and complementary statistical analysis techniques will be used: Principal Component Analysis (applied to the physical and social aspects of the territory) and Hierarchical Classification Analysis (based in the factors extracted in the Principal Component Analysis). The resulting clusters will then be mapped and its distribution will be tested for spatial autocorrelation.

scholarly journals IN-SITU MORPHOLOGICAL CHARACTERIZATION OF CASSAVA LANDRACES (MANIHOTESCULENTACRANTZ) FROM COTE DIVOIRE

2021 ◽  
Vol 9 (12) ◽  
pp. 01-13
Author(s):  
Doubi Bi Tra Serges ◽  
◽  
Djaha Konan Engueran ◽  
Angui Chia Michele Valerie ◽  
Fouha Bi Nady Delphin ◽  
...  
Keyword(s):  
Multiple Correspondence Analysis ◽  
Morphological Diversity ◽  
Morphological Characterization ◽  
Important Food ◽  
Homogeneous Groups ◽  
Total Variability ◽  
Hierarchical Ascending Classification ◽  
Landrace Accessions

Cassava provides food security for millions of people worldwide. In Cote dIvoire, it is the second most important food crop. The objective of this study is to evaluate the structure and genetic variability of certain qualitative traits in targeted cassava landracesin order to identify the most widespread cassava landraces. Thus, prospecting missions were carried out in different regions of Cote dIvoire to characterize cassavalandraces, from which 180 cassava landrace accessions were characterized using14 morphological markers. Multiple Correspondence Analysis (MCA) showed that among the 14 markers, 10 were relevant fordescribing the total variability within accessions. In addition, the Hierarchical Ascending Classification (HAC) grouped the Ivorianlandraces into five homogeneous groups and also revealed that this morphological diversity is not structured according to the landracesgeographical origin. The study highlighted 131 distinct cultivars among the 180 accessions characterized. Moreover, of the 131 distinct cultivars, four were the most widespread. These are the local cultivars: Yace, Six mois, Blêbou and Trogla. Thus, the study has definitively shown that breeders have a wide choice of parents for developing improved cassava cultivars adapted fromthe populations found in Cote dIvoire.

scholarly journals First morphological characterization of autochthonous olive (Olea europaea L.) denominations from central and eastern of Algeria

2020 ◽  
Vol 116 (2) ◽  
pp. 311
Author(s):  
Rachid BOUKHARI ◽  
Abdelkader AMEUR AMEUR ◽  
Hocine INNAL ◽  
Semir Bechir Suheil GAOUAR
Keyword(s):  
Olea Europaea ◽  
Diversity Index ◽  
Multiple Correspondence Analysis ◽  
Genetic Erosion ◽  
Morphological Characteristics ◽  
Principal Component ◽  
Morphological Characterization ◽  
Critical Conditions ◽  
Morphological Description ◽  
Olea Europaéa

<p>Olive (<em>Olea europaea</em> L.) resources in Algeria are very little investigated. In fact, a total of 60 denominations have been the subject of characterization studies and they are cited in the bibliography but only 36 varieties are described and listed in the catalog of Algerian varieties of olive tree. In this work, a study on the diversity by mean of a field survey followed by morphological characterization, an estimate of the Shannon diversity index of a set of denominations collected in central and eastern of Algeria were carried out.<strong> </strong>The survey allowed us to note the existence of 33 denominations never mentioned in the bibliography. Morphological characterization based on the characteristics of tree, fruit and endocarp allowed us to a morphological description of 23 denominations. The Principal Component Analysis, Multiple Correspondence Analysis and Ascending Hierarchical Classification analysis allowed us to classify them into a few groups. The value of the relative diversity of all denominations is slightly below the average (0.42).<strong> </strong>The results obtained in this work provide very useful information on certain morphological characteristics of the studied denominations and indicate the critical conditions in which several denominations are found, which constitutes a great risk of genetic erosion.</p>

scholarly journals In situ morphological characterization of soursop (Annona muricata L.) plants in Manabí, Ecuador

Enfoque UTE ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 58-70
Author(s):  
Ricardo Gonzalo Moreira Macías ◽  
Héctor Rodríguez ◽  
Eduardo Héctor-Ardisana ◽  
Carlos Feicán-Mejía ◽  
Saúl Anibal Mestanza Velasco ◽  
...  
Keyword(s):  
Morphological Traits ◽  
Descriptive Analysis ◽  
Morphological Variability ◽  
Morphological Characterization ◽  
Annona Muricata ◽  
Multivariate Statistical ◽  
Qualitative Variables ◽  
Total Variability ◽  
Fourth Component

Soursop (Annona muricata L.) germplasm, from the central region of the Ecuadorian littoral, has diverse phenotypic characteristics, which have been little studied. The main objective of this research was to characterize in situ the morphological variability of 60 accessions of soursop. The morphological traits were evaluated using 20 quantitative and 10 qualitative variables of the plant and the fruit. Multivariate statistical methods were used as principal components, hierarchical conglomerate aggregation, discriminant and correlation analysis (Pearson) were performed. Descriptive analysis such as central tendency and dispersion (coefficient of variation, range, mean and standard deviation) were determined for the quantitative data; while frequencies were calculated for qualitative data. In terms of morphological traits, 74 % of the total variability was explained by the fourth component. Three conglomerates of similarity were formed, in which the height, diameter of canopy and fruit number per tree, were the characters of greater contribution for its conformation.

scholarly journals Genetic variability and genome-wide association analysis of flavor and texture in cooked beans (Phaseolus vulgaris L.)

2021 ◽  
Author(s):  
Amber Bassett ◽  
Kelvin Kamfwa ◽  
Daniel Ambachew ◽  
Karen Cichy
Keyword(s):  
Genetic Variability ◽  
Seed Coat ◽  
Principal Component ◽  
Breeding Programs ◽  
Flavor Intensity ◽  
Genome Wide ◽  
White Bean ◽  
The Usa ◽  
New Varieties ◽  
End Use

Abstract Key message Cooked bean flavor and texture vary within and across 20 Andean seed types; SNPs are significantly associated with total flavor, beany, earthy, starchy, bitter, seed-coat perception, and cotyledon texture. Abstract Common dry beans are a nutritious food recognized as a staple globally, but their consumption is low in the USA. Improving bean flavor and texture through breeding has the potential to improve consumer acceptance and suitability for new end-use products. Little is known about genetic variability and inheritance of bean sensory characteristics. A total of 430 genotypes of the Andean Diversity Panel representing twenty seed types were grown in three locations, and cooked seeds were evaluated by a trained sensory panel for flavor and texture attribute intensities, including total flavor, beany, vegetative, earthy, starchy, sweet, bitter, seed-coat perception, and cotyledon texture. Extensive variation in sensory attributes was found across and within seed types. A set of genotypes was identified that exhibit extreme attribute intensities generally stable across all three environments. seed-coat perception and total flavor intensity had the highest broad-sense heritability (0.39 and 0.38, respectively), while earthy and vegetative intensities exhibited the lowest (0.14 and 0.15, respectively). Starchy and sweet flavors were positively correlated and highest in white bean genotypes according to principal component analysis. SNPs associated with total flavor intensity (six SNPs across three chromosomes), beany (five SNPs across four chromosomes), earthy (three SNPs across two chromosomes), starchy (one SNP), bitter (one SNP), seed-coat perception (three SNPs across two chromosomes), and cotyledon texture (two SNPs across two chromosomes) were detected. These findings lay a foundation for incorporating flavor and texture in breeding programs for the development of new varieties that entice growers, consumers, and product developers alike.

Influence of psychoanalytical training on professional performance in a sample of French speaking psychotherapists

1994 ◽  
Vol 9 (4) ◽  
pp. 211-220 ◽  
Author(s):  
A Dazord ◽  
P Gerin ◽  
JD Davis ◽  
ML Davis ◽  
N Aapro ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Common Core ◽  
Multivariate Analyses ◽  
Multiple Correspondence Analysis ◽  
International Study ◽  
Principal Component ◽  
Questionnaire Data ◽  
Professional Performance ◽  
French Speaking ◽  
Perceived Effects

SummaryThis study is part of a more extensive research conducted by a group of scientists from different countries, who have joined forces to conduct an international study on the development of the therapist, and to develop a novel instrument for therapists, the “Development of Psychotherapists’ Common Core Questionnaire” (CCQ). We report here the results based on the answers of a French-speaking sample to this questionnaire. Data were analyzed using univariate (non parametric tests) and multivariate analyses (Principal Component Analysis and Multiple Correspondence Analysis). The perceived effects of psychoanalytical training were examined. The therapists’ own perception on their current skills and the type of difficulties they experienced were very similar, whether or not they had received psychoanalytical training. However, striking and significant differences in coping strategies were observed between the two groups.

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