scholarly journals Use of multivariate analysis in mineral accumulation of rocket (Eruca sativa) accessions

Genetika ◽  
2011 ◽  
Vol 43 (3) ◽  
pp. 437-448 ◽  
Author(s):  
Kadri Bozokalfa ◽  
Dursun Eşiyok ◽  
Bülent Yağmur
Keyword(s):  
Multivariate Analysis ◽  
Principal Component ◽  
Mineral Elements ◽  
Leafy Vegetables ◽  
Mineral Concentration ◽  
Health Promoting ◽  
Nutritional Compounds ◽  
High Nutrient Concentration ◽  
Mineral Accumulation ◽  
Selection Of

The leafy vegetables contain high amount of mineral elements and health promoting compound. To solve nutritional problems in diet and reduced malnutrition among human population selection of specific cultivar among species would be help increasing elemental delivery in the human diet. While rocket plant observes several nutritional compounds no significant efforts have been made for genetic diversity for mineral composition of rocket plant accessions using multivariate analyses technique. The objective of this work was to evaluate variability for mineral accumulation of rocket accessions revealed by multivariate analysis to use further breeding program for achieve improving cultivar in targeting high nutrient concentration. A total twelve mineral element and twenty-three E. sativa accessions were investigated and considerable variation were observed in the most of concentration the principal component analysis explained that 77.67% of total variation accounted for four PC axis. Rocket accessions were classifies into three groups and present outcomes of experiments revealed that the first three principal components were highly valid to classify the examined accessions and separating mineral accumulations. Significant differences exhibited in mineral concentration among examined rocket accessions and the result could allow selecting those genotypes with higher elements.

On selecting an appropriate multivariate analysis

2006 ◽  
Vol 86 (3) ◽  
pp. 663-676 ◽  
Author(s):  
N. C. Kenkel
Keyword(s):  
Multivariate Analysis ◽  
Data Structure ◽  
Environmental Factors ◽  
Methodological Approach ◽  
Principal Component ◽  
Biological Data ◽  
Multivariate Methods ◽  
Analytical Strategy ◽  
Analytical Strategies ◽  
Selection Of

The broad objective of multivariate data analysis in biology is to summarize associations among species (the dependent or response variables), and to elucidate species responses to one or more environmental factors (the independent or predictor variables). This objective is achieved by reducing the dimensionality of variable space to an efficient, low-dimensional summative model of the underlying data structure that reflects the coordinated response of species to environmental factors. While multivariate methods have proven indispensable for analyzing both experimental and survey data in the biological sciences, considerable confusion persists regarding the selection of appropriate analytical strategies. The selection of an appropriate analytical strategy, which includes important decisions regarding data transformation, variable standardization and methodological approach, should be based on fundamental considerations of statistical appropriateness, data structure, and study objectives. Unfortunately, past and more recent assessments of multivariate analytical strategies have been based largely on empirical models of questionable relevance. This empirical approach has led to misleading recommendations and erroneous generalizations regarding the relative efficacy of the available multivariate methods. This paper dispels these misleading recommendations and provides some general guidelines for selecting appropriate data transformations, variable standardizations and methodological approaches in the multivariate analysis of biological data. Key words: Ordination, canonical analysis, co-inertia analysis, principal component analysis, correspondence analysis, non-metric multidimensional scaling

scholarly journals Nutritional diversity of underutilized plant species collected from Aegean Region of Turkey

2021 ◽  
Vol 12 (2) ◽  
pp. 603-615
Author(s):  
Tansel Kaygısız Aşçıoğul ◽  
Bülent Yağmur ◽  
Mehmet Kadri Bozokalfa ◽  
Dursun Eşiyok
Keyword(s):  
Multivariate Analysis ◽  
Dry Matter ◽  
Pearson Correlation ◽  
Principal Component ◽  
Wild Plant ◽  
Three Dimension ◽  
Edible Plants ◽  
Mineral Concentration ◽  
Mineral N ◽  
Aegean Region

The objective of the present work was to evaluate variability for dry matter, protein and mineral N (nitrogen), P (phosphorus), K (potassium), Ca (calcium), Mg (magnesium) composition of nutritionally important and widely consumed wild edible plants in Aegean region of Turkey, and to assess their mineral diversity using multivariate analysis. The plant material comprises 17 edible plants collected from native found, the data were subject to analysis of variance, and a Pearson correlation test used to determine the correlations between dry matter, protein content and N, P, K, Ca, Mg composition. Principal component analysis was performed on the result of examine compositions and the factor loadings, eigenvalues and percentage of cumulative variance were calculated, the patterns of relationships among nutritive element were shown three-dimension scatter plot. Multivariate analysis revealed considerable variation for the most of concentration and explained 81.49% of total variation accounted for three PC axes. The data reveal that selected wild plant provide significant nutrition and exhibited great variability among the species. Although soil mineral concentration, availability, fertilization and environment may have influenced on nutrient accumulation in plant tissue, genetic variability is considerable influenced on mineral composition of plant.

scholarly journals Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis

Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 598 ◽  
Author(s):  
Eneide Barth ◽  
Juliano Tadeu Vilela de Resende ◽  
Aline Fabiana Paladini Moreira ◽  
Keny Henrique Mariguele ◽  
André Ricardo Zeist ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Block Design ◽  
Selection Index ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
High Variability ◽  
Soluble Solids ◽  
Fresh Market ◽  
Commercial Cultivars ◽  
Selection Of

The selection of superior strawberry genotypes is a complex process due to the high variability after hybridization that is caused by the octoploid nature and the heterozygosis, making the selection of multiple traits difficult. This study aimed to select strawberry hybrids with the potential for fresh consumption and/or processing by applying multivariate analysis to obtain traits of interest simultaneously. Hybrids were obtained from the crossing among seven commercial cultivars, defining a selection of 10% of them. The experimental design consisted of an augmented block design, with two commercial cultivars, Camarosa and Camino Real, as the controls. Different variables, including the number and average mass of commercial fruits, total fruit mass, pH, soluble solids (SS), titratable acidity (TA), SS/TA ratio, reducing sugars, pectin, ascorbic acid, phenolic compounds, and anthocyanin’s, were assessed. The selection of hybrids was based on the Mulamba and Mock rank-summation index, principal component analysis, and Ward’s hierarchical cluster analysis. The selection index was based on different weights being adopted for fresh market and processing. The assessed traits had high variability between hybrids. The highest selection gains were obtained for production traits, but the different weight assignment resulted in different classifications of hybrids for both fresh consumption and processing. Most of the hybrids selected by the index remained in the same group in the principal component and hierarchical cluster analyses, which indicates that multivariate analysis is a valuable tool for assisting in the selection of superior hybrids in the strawberry crop.

scholarly journals HPLC-DAD Fingerprints Combined With Multivariate Analysis of Epimedii Folium From Major Producing Areas in Eastern Asia: Effect of Geographical Origin and Species

2021 ◽  
Vol 12 ◽  
Author(s):  
Ben Li ◽  
Marta R. M. Lima ◽  
Yuhao Nie ◽  
Long Xu ◽  
Xiang Liu ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Bioactive Compounds ◽  
Geographical Origin ◽  
Biological Activities ◽  
Principal Component ◽  
Strong Impact ◽  
Active Components ◽  
Selection Of ◽  
Hplc Data

The growth location and plant variety may influence the active components and biological activities of plants used in phytomedicine. In this study, nine sets of different Epimedii Folium, from different representative cultivation locations and Epimedium species, were collected for comparison, using HPLC-DAD combined with multivariate analysis. The objective was to investigate the influence of geographical origin and Epimedium species on the quality of Epimedii Folium, and provide applicable guidance for cultivation and quality control of Epimedii Folium. Several Epimedium spp. sets were used to establish the HPLC-DAD fingerprints and 91 peaks (compounds) were selected for the multivariate analysis. Major compounds were analyzed by HPLC-DAD combined with principal component analysis (PCA). HPLC quantitative analysis of known bioactive compounds was performed. Application of PCA to HPLC data showed that Epimedium samples sharing the same geographical origin or species clustered together, indicating that both species and geographical origin have impacts on the quality of Epimedii Folium. The major bioactive flavonoid compounds, epimedin C, icariin and baohuoside I, were identified and quantified. The concentration of bioactive compounds was significantly influenced both by species and geographical origin. E. sagittatum from Sichuan showed the highest content of bioactive compounds. The results showed that both Epimedium species and geographical origin have strong impact into quality of Epimedii Folium. HPLC data combined with multivariate analysis is a suitable approach to inform the selection of cultivation areas and choose Epimedium spp. most suitable for different geographical areas, resulting in improved quality of Epimedii Folium.

scholarly journals Potential Probiotic Strains of Saccharomyces and Non-Saccharomyces: Functional and Biotechnological Characteristics

2021 ◽  
Vol 7 (3) ◽  
pp. 177
Author(s):  
Pilar Fernández-Pacheco ◽  
Cristina Pintado ◽  
Ana Briones Pérez ◽  
María Arévalo-Villena
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Positive Control ◽  
Probiotic Yeast ◽  
Probiotic Strains ◽  
Health Promoting ◽  
Prebiotic Metabolism ◽  
Saccharomyces Yeasts ◽  
Lachancea Thermotolerans ◽  
Selection Of

Due to the evident demand for probiotic microorganisms, a growing number of scientific studies have involved the preliminary selection of new strains, but deeper studies for knowing specific functional and biotechnological properties are needed. In the present work, twenty yeasts (Saccharomyces and non-Saccharomyces) with potential probiotic characteristics, selected in previous works, were evaluated. The following assays were realized: adhesion to Caco-2/TC7 cells, prebiotic metabolisms, assimilation of cholesterol, enzymatic and antioxidant activity, and antifungal resistance. In addition, the effect of ultrasonic treatment was evaluated for attenuating the cultures before their possible incorporation into a food or supplement. In all of the cases, the unique commercial probiotic yeast (S. boulardii CNM I-745) was used as positive control. Results show different capabilities depending on the property studied. In general, no Saccharomyces yeasts were better in the adhesion to Caco cells, prebiotic metabolism, and presented higher variability of enzymatic activities. The ones related to cholesterol assimilation and antioxidant capability did not show a marked trend, and with respect to the attenuation process, the Saccharomyces yeasts were more resistant. For selecting the potential probiotic yeasts with better balance among all characteristics, a principal component analysis (PCA) was carried out. The most promising yeasts for use as health-promoting probiotics are Hanseniaspora osmophila 1056 and 1094, Lachancea thermotolerans 1039, and S. cerevisiae 3 and 146.

scholarly journals Suitability Analysis of 17 Probiotic Type Strains of Lactic Acid Bacteria as Starter for Kimchi Fermentation

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1435
Author(s):  
Hee Seo ◽  
Jae-Han Bae ◽  
Gayun Kim ◽  
Seul-Ah Kim ◽  
Byung Hee Ryu ◽  
...  
Keyword(s):  
Lactic Acid ◽  
Lactic Acid Bacteria ◽  
Growth Rates ◽  
Principal Component ◽  
Fermented Foods ◽  
Suitability Analysis ◽  
Moderate Growth ◽  
Health Promoting ◽  
Highly Correlated ◽  
Type Strains

The use of probiotic starters can improve the sensory and health-promoting properties of fermented foods. This study aimed to evaluate the suitability of probiotic lactic acid bacteria (LAB) as a starter for kimchi fermentation. Seventeen probiotic type strains were tested for their growth rates, volatile aroma compounds, metabolites, and sensory characteristics of kimchi, and their characteristics were compared to those of Leuconostoc (Le.) mesenteroides DRC 1506, a commercial kimchi starter. Among the tested strains, Limosilactobacillus fermentum, Limosilactobacillus reuteri, Lacticaseibacillus rhamnosus, Lacticaseibacillus paracasei, and Ligilactobacillus salivarius exhibited high or moderate growth rates in simulated kimchi juice (SKJ) at 37 °C and 15 °C. When these five strains were inoculated in kimchi and metabolite profiles were analyzed during fermentation using GC/MS and 1H-NMR, data from the principal component analysis (PCA) showed that L. fermentum and L. reuteri were highly correlated with Le. mesenteroides in concentrations of sugar, mannitol, lactate, acetate, and total volatile compounds. Sensory test results also indicated that these three strains showed similar sensory preferences. In conclusion, L. fermentum and L. reuteri can be considered potential candidates as probiotic starters or cocultures to develop health-promoting kimchi products.

scholarly journals Modeling, comparison and evaluation of one-DOF six-bar bioinspired jumping leg mechanisms

2021 ◽  
Vol 13 (2) ◽  
pp. 168781402199295
Author(s):  
Ziqiang Zhang ◽  
Qi Yang ◽  
Xingkun Liu ◽  
Chuanzhong Zhang ◽  
Jinnong Liao
Keyword(s):  
Center Of Mass ◽  
Principal Component ◽  
Analysis Method ◽  
Index Distribution ◽  
Inertial Moment ◽  
Structure Index ◽  
Mean And Variance ◽  
Research Objects ◽  
Leg Mechanisms ◽  
Selection Of

One degree-of-freedom (DOF) jumping leg has the advantages of simple control and high stiffness, and it has been widely used in bioinspired jumping robots. Compared with four-bar jumping leg, six-bar jumping leg mechanism can make the robot achieve more abundant motion rules. However, the differences among different configurations have not been analyzed, and the choice of configurations lacks basis. In this study, five Watt-type six-bar jumping leg mechanisms were selected as research objects according to the different selection of equivalent tibia, femur and trunk link, and a method for determining the dimension of the jumping leg was proposed based on the movement law of jumping leg of locust in take-off phase. On this basis, kinematics indices (sensitivity of take-off direction angle and trunk attitude angle), dynamics indices (velocity loss, acceleration fluctuation, and mean and variance of total inertial moment) and structure index (distribution of center of mass) were established, and the differences of different configurations were compared and analyzed in detail. Finally, according to the principal component analysis method, the optimal selection method for different configurations was proposed. This study provides a reference for the design of one DOF bioinspired mechanism.

scholarly journals Combining metabolomic and transcriptomic approaches to assess and improve crop quality traits

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Delphine M. Pott ◽  
Sara Durán-Soria ◽  
Sonia Osorio ◽  
José G. Vallarino
Keyword(s):  
Quality Trait ◽  
Quality Traits ◽  
Crop Species ◽  
Breeding Programs ◽  
Crop Quality ◽  
Crop Varieties ◽  
New Genes ◽  
Technical Advances ◽  
Health Promoting ◽  
Selection Of

AbstractPlant quality trait improvement has become a global necessity due to the world overpopulation. In particular, producing crop species with enhanced nutrients and health-promoting compounds is one of the main aims of current breeding programs. However, breeders traditionally focused on characteristics such as yield or pest resistance, while breeding for crop quality, which largely depends on the presence and accumulation of highly valuable metabolites in the plant edible parts, was left out due to the complexity of plant metabolome and the impossibility to properly phenotype it. Recent technical advances in high throughput metabolomic, transcriptomic and genomic platforms have provided efficient approaches to identify new genes and pathways responsible for the extremely diverse plant metabolome. In addition, they allow to establish correlation between genotype and metabolite composition, and to clarify the genetic architecture of complex biochemical pathways, such as the accumulation of secondary metabolites in plants, many of them being highly valuable for the human diet. In this review, we focus on how the combination of metabolomic, transcriptomic and genomic approaches is a useful tool for the selection of crop varieties with improved nutritional value and quality traits.

scholarly journals Dietary nitrate and population health: a narrative review of the translational potential of existing laboratory studies

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Oliver M. Shannon ◽  
Chris Easton ◽  
Anthony I. Shepherd ◽  
Mario Siervo ◽  
Stephen J. Bailey ◽  
...  
Keyword(s):  
Population Health ◽  
Leafy Vegetables ◽  
Future Research ◽  
Research Approach ◽  
Valuable Insight ◽  
Main Body ◽  
Laboratory Studies ◽  
Potential Health ◽  
Health Promoting

Abstract Background Dietary inorganic nitrate (NO3−) is a polyatomic ion, which is present in large quantities in green leafy vegetables and beetroot, and has attracted considerable attention in recent years as a potential health-promoting dietary compound. Numerous small, well-controlled laboratory studies have reported beneficial health effects of inorganic NO3− consumption on blood pressure, endothelial function, cerebrovascular blood flow, cognitive function, and exercise performance. Translating the findings from small laboratory studies into ‘real-world’ applications requires careful consideration. Main body This article provides a brief overview of the existing empirical evidence basis for the purported health-promoting effects of dietary NO3− consumption. Key areas for future research are then proposed to evaluate whether promising findings observed in small animal and human laboratory studies can effectively translate into clinically relevant improvements in population health. These proposals include: 1) conducting large-scale, longer duration trials with hard clinical endpoints (e.g. cardiovascular disease incidence); 2) exploring the feasibility and acceptability of different strategies to facilitate a prolonged increase in dietary NO3− intake; 3) exploitation of existing cohort studies to explore associations between NO3− intake and health outcomes, a research approach allowing larger samples sizes and longer duration follow up than is feasible in randomised controlled trials; 4) identifying factors which might account for individual differences in the response to inorganic NO3− (e.g. sex, genetics, habitual diet) and could assist with targeted/personalised nutritional interventions; 5) exploring the influence of oral health and medication on the therapeutic potential of NO3− supplementation; and 6) examining potential risk of adverse events with long term high- NO3− diets. Conclusion The salutary effects of dietary NO3− are well established in small, well-controlled laboratory studies. Much less is known about the feasibility and efficacy of long-term dietary NO3− enrichment for promoting health, and the factors which might explain the variable responsiveness to dietary NO3− supplementation between individuals. Future research focussing on the translation of laboratory data will provide valuable insight into the potential applications of dietary NO3− supplementation to improve population health.

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