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 Phenotypic Characterization of Fine-Aroma Cocoa from Northeastern Peru

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Manuel Oliva-Cruz ◽  
Malluri Goñas ◽  
Ligia M. García ◽  
Raúl Rabanal-Oyarse ◽  
Cástula Alvarado-Chuqui ◽  
...  
Keyword(s):  
Sea Level ◽  
Multiple Correspondence Analysis ◽  
Phenotypic Characterization ◽  
Morphological Descriptors ◽  
Cocoa Beans ◽  
Fruit Wall ◽  
Low Levels ◽  
Seed Characteristics ◽  
Theobroma Cacao L

The phenotypic characterization of cacao (Theobroma cacao L.) plays an important role in the generation of information for the conservation of cacao germplasm. The objective of this study is to characterize phenotypically 146 ecotypes of fine-aroma native cacao (FFNC) from northeastern Peru that were collected from 280 to 1265 metres above sea level. Morphological descriptors of fruits and seeds, sensory characteristics, and productivity descriptors were used. The data obtained were analyzed using descriptive statistics with pie charts, distribution histograms, and multiple correspondence analysis. The results showed that 76.7% of the cocoa ecotypes had green immature fruits, 73% showed slight roughness on the surface of the fruit, 54% showed an intermediate thickness of the fruit wall, and 90% had the appearance of pairs of equidistant ridges. Regarding seed characteristics, 71% showed purplish cotyledons, with a high presence of floral and fruity notes and low levels of bitterness and astringency. Likewise, 52% of the fruits and 64% of the seeds were long. More importantly, cocoa beans needed to produce between 14 and 16 pods to obtain one kilogram of dry cocoa, which reflects a good level of productivity. Finally, there was a positive relationship between elevation levels and the presence of fine-flavoured native cocoa, i.e., the greatest diversity of native cocoa with floral and fruity notes was found above 501 metres above sea level.

Characterization of Balsamic Vinegar by Multivariate Statistical Analysis of Trace Element Content

1998 ◽  
Vol 81 (5) ◽  
pp. 1087-1095 ◽  
Author(s):  
Antonella Del Signore ◽  
Barbara Campisi ◽  
Franco Di Giacomo
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Trace Element Content ◽  
The Other ◽  
Statistical Techniques ◽  
Multivariate Statistical ◽  
Linear Discriminant ◽  
Balsamic Vinegar ◽  
And Cluster Analysis

Abstract To characterize vinegars according to the types prescribed by Italian regulations, 8 trace elements (Cr, Mn, Co, Ni, Cu, Zn, Cd, and Pb) were determined. The data collected were successively elaborated by 3 statistical techniques: linear principal component analysis (LPCA), linear discriminant analysis (LDA), and cluster analysis (CA). LDA and LPCA best classified and discriminated the 3 types of vinegar under study, separating traditional balsamic vinegars from the other 2 types, nontraditionally aged balsamic vinegars and common vinegars. The latter 2 types were appreciably distinguished only by LDA through bidimensional analysis of discriminant scores

Principal component analysis and cluster analysis for the characterization of dental composites

The Analyst ◽  
2000 ◽  
Vol 125 (11) ◽  
pp. 2044-2048 ◽  
Author(s):  
Concepción Domingo ◽  
Raul W. Arcis ◽  
Estrella Osorio ◽  
Manuel Toledano ◽  
Javier Saurina
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Dental Composites ◽  
And Cluster Analysis

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 and Classification of Open-pollinated Sweet Corn Cultivars

1995 ◽  
Vol 120 (1) ◽  
pp. 112-118 ◽  
Author(s):  
Pedro Revilla ◽  
W.F. Tracy
Keyword(s):  
United States ◽  
Sweet Corn ◽  
Morphological Variability ◽  
Principal Component ◽  
The United States ◽  
Morphological Characterization ◽  
Vegetable Crops ◽  
The North ◽  
And Cluster Analysis ◽  
Sugar Levels

Sweet corn is one of the most important vegetable crops in the United States, however the morphology and phylogeny of open-pollinated sweet corn cultivars has not been studied. Fifty eight open-pollinated sweet corn cultivars were characterized with thirty-four descriptors to provide information for breeders interested in broadening the genetic base of sweet corn. Principal component analysis and cluster analysis were performed to classify sweet corn cultivars based on morphology. Also, relationships among morphological variables in this set of cultivars were determined. The general ordination of cultivars followed an axis representing earliness, and plant, leaf, and tassel size, while ear and kernel attributes were less variable. The morphological variability among all of the widely used sweet corn cultivars, except `Country Gentleman', was not greater than the variability found among the `Golden Bantam' strains. Based on morphology, 52 of the cultivars could be considered as one race, which we propose be called `Northeastern Sweets'. These may be a subset of the race `Northern Flint'. Five of the remaining cultivars are from the north-central or southwestern United States and may represent races from those areas. The sixth cultivar is `Country Gentleman', a commercially important sweet corn cultivar. Due to the importance of `Country Gentleman' and the introgression of nonsweet germplasm into modern sweet corn, we believe that sweet corn should be defined based on its use as a vegetable and on the presence of one or more genes that increase sugar levels in the endosperm.

scholarly journals Morphological characterization of Moringa oleifera seeds from different crops of Mexico

2021 ◽  
Author(s):  
Rafael Ruiz-Hernández ◽  
Martha Hernández-Rodríguez ◽  
Rosy G. Cruz-Monterrosa ◽  
Mayra Díaz-Ramírez ◽  
Judith Jiménez-Guzmán ◽  
...  
Keyword(s):  
Design Methodology ◽  
Moringa Oleifera ◽  
Principal Component ◽  
Storage Conditions ◽  
Germination Percentage ◽  
Morphological Characterization ◽  
Morphological Descriptors ◽  
Significant Interest ◽  
Length Width

Objective: to characterize the seeds of Moringa oleifera present in various crops in Mexico morphologically. Design / Methodology / Approach: An analysis of variance, principal components, and conglomerates of qualitative morphological descriptors (shape, color, presence of wings and wing color) and quantitative (length, width, and weight) were carried out. Results: Significant statistical differences (P˂0.05) were found in the seeds' length, width, weight, and almonds. The principal component analysis indicated that components 1 (70.58%) and 2 (25.59%) contributed 96.17% of the variation, and the cluster analysis identified four groups. The evaluated populations showed qualitative variation (shape, color, presence of wings, and color of wings) and quantitative (length, width, and weight). Study limitations/implications: the germination percentage could not be evaluated because no information was obtained on the age of the seed and the storage conditions. Result/Finding:Conclusion: This information enriches the knowledge of Moringa oleifera in Mexico and serves as a basis for selecting materials of most significant interest.

scholarly journals Characterization of West and Central African accessions from a pearl millet reference collection for agro-morphological traits and Striga resistance

2017 ◽  
Vol 16 (3) ◽  
pp. 260-272 ◽  
Author(s):  
F. T. Sattler ◽  
M. D. Sanogo ◽  
I. A. Kassari ◽  
I. I. Angarawai ◽  
K. W. Gwadi ◽  
...  
Keyword(s):  
Pearl Millet ◽  
Pennisetum Glaucum ◽  
Principal Component ◽  
Field Trials ◽  
Morphological Characterization ◽  
Striga Hermonthica ◽  
Effective Population ◽  
Reference Collection ◽  
Breeding Programmes

AbstractTo promote the utilization of West and Central African (WCA) genetic resources of pearl millet [Pennisetum glaucum (L.) R. Br.], this study aimed at agro-morphological characterization of selected accessions from the pearl millet reference collection, established by the Generation Challenge Program and the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). A total of 81 accessions were included, comprising 78 landraces originating from 13, predominantly WCA countries and three improved cultivars. All 81 accessions were evaluated together with 18 checks for resistance to the parasitic weed Striga hermonthica (Del.) Benth. in an artificially infested field at one location in Niger. Determined by available seed quantity, 74 accessions were characterized together with seven checks in the rainy season 2009 in field trials under low-input and fertilized conditions in Nigeria, Niger and Mali, respectively. Wide ranges were observed for various traits. Several accessions were identified as sources for specific traits of interest, i.e. long panicles, high-grain density, earliness, Striga resistance and stable yielding across environments. The observed yield inferiority of all Genebank accessions compared with checks may indicate lost adaptation or inbreeding depression due to an insufficient effective population size during multiplication. A principal component analysis revealed an immense diversity but also strong admixture among the tested accessions, i.e. there were no clearly distinct groups. The seed of all genotypes is available from ICRISAT. The online availability of the characterization data is expected to facilitate efficient use of these pearl millet accessions by breeding programmes in WCA and worldwide.

scholarly journals Genetic diversity of Albanian pea (Pisum sativum L.) landraces assessed by morphological traits and molecular markers

2014 ◽  
Vol 50 (No. 2) ◽  
pp. 177-184 ◽  
Author(s):  
B. Gixhari ◽  
M. Pavelková ◽  
H. Ismaili ◽  
H. Vrapi ◽  
A. Jaupi ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Molecular Markers ◽  
Morphological Traits ◽  
Principal Component ◽  
Morphological Characters ◽  
Insertion Polymorphism ◽  
Growing Seasons ◽  
And Cluster Analysis

In order to investigate the genetic diversity present in the pea germplasm stored in the Albanian genebank, we analyzed 28 local pea genotypes of Albanian origins for 23 quantitative morphological traits, as well as 14 retrotransposon-based insertion polymorphism (RBIP) molecular markers. The study of morphological characters carried out during three growing seasons (2010, 2011 and 2012) had the objective of characterization of traits useful in breeding programs. RBIP marker analysis revealed the genetic similarity in range from 0.06 to 0.45. ANOVA, principal component analysis (PCA) and cluster analysis was used to visualize the association among different traits. Most of the quantitative morphological traits showed significant differences. PCA and cluster analysis (Ward&rsquo;s method) carried out for morphological traits divided the local pea genotypes into three clusters. Finally, the study identified the agronomicaly important traits which will facilitate the maintenance and agronomic evaluation of the collections.

Morphological characterization of Badis species (Teleostei: Badidae) from Nepal 

Zootaxa ◽  
2018 ◽  
Vol 4524 (1) ◽  
pp. 97
Author(s):  
WILLIAM K. BLAIR ◽  
STEFAN VAN DER VOORT ◽  
DAVID R. EDDS
Keyword(s):  
Principal Component ◽  
Morphological Characterization ◽  
Small Rivers ◽  
Southeastern Part ◽  
Body Depth ◽  
Major River ◽  
Distribution And Ecology ◽  
Morphological Differences ◽  
River Drainages

We characterized morphological variation among 172 specimens of Badis sp. (Teleostei: Badidae), collected from across Nepal and previously identified as Badis badis, to investigate whether any represented an undescribed species. Size-corrected principal component analysis (PCA), cluster analysis (CA), and discriminant analysis (DA) revealed four significantly different groups. One group was characterized by shallower body depth and shorter pelvic to anal distance than other groups and lacked a cleithral blotch. It was identified as Badis andrewraoi, previously unknown from Nepal, yet represented in our sample by 19 specimens from small rivers in the southeastern part of the country. Distribution of the remaining groups, all identified as B. badis, did not correspond to a zoogeographic hypothesis relating to major river drainages. Instead, morphological differences among these groups was better explained by allometric shifts. We provide information on the distribution and ecology of B. andrewraoi and B. badis in Nepal. 

scholarly journals Characterization of the vineyard byotyp collection of peach as step in prebreeding process

Genetika ◽  
2016 ◽  
Vol 48 (1) ◽  
pp. 349-362 ◽  
Author(s):  
Ivana Bakic ◽  
Vera Rakonjac ◽  
Dragan Nikolic ◽  
Milica Fotiric-Aksic ◽  
Slavica Colic ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Leaf Traits ◽  
Morphological Characterization ◽  
Fruit Colour ◽  
Flower Bud ◽  
Flesh Colour ◽  
Flower Type ◽  
High Degree

In this research, morphological characterization of vineyard peach collection was conducted. In 78 accessions thirty qualitative traits of tree, flower, leaf, fruit and stone were analysed by using UPOV and ECPGR descriptors. Most of the studied traits showed a high degree of variability. The lowest variability obtained for the leaf traits, and highest for skin and flesh colour. Not only were the accessions sorted into a large number of categories by the most of their properties, but also there was a significant level of variability in the collection, reflecting in the fact that the traits were recombinant in a different way. Principal component analysis (PCA) and a dendrogram were performed to determine relationships among accessions and to obtain information on the usefulness of those characters for the discrimination. The PCA revealed that the first 4 principal components were able to represent 43.1% of total variance. Traits with high discriminating values comprised internal and external fruit colour, flower type and colour, flower bud density and stone shape. The cluster analysis showed that the accessions were placed in three main clusters. The greatest impact on the separation in clusters had fruit over colour and extent of fruit over colour. Moreover, the collection can also comprise some accessions with the preferred recombination of properties that might be interesting for further studies in breeding.

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