Ordenação multivariada na ecologia e seu uso em ciências ambientais

Inacio, Paulo Cesar Antunes Loureiro; Lewinsohn, Thomas M.; Carmo, Roberto Luíz do; Hogan, Daniel J.

doi:10.1590/s1414-753x2002000100005

Cited by 7 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…PCA is being widely utilized for summarizing a larger set of parameters, thereafter, measuring their importance on each axis or component by its weight, which is associated with the axis (Chandirakala and Manivannan, 2014 ). Biplot analysis of the PCA was first developed by Gabriel (Inacio et al, 2002 ), and it can interpret multiple variables in the function of different treatments in the same graphic (Gabriel, 1971 ). Results of the present experiments revealed that while selecting the parents the characters that contributed positively to the first two principal components should be considered.…”

Section: Discussionmentioning

confidence: 99%

Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)

et al. 2022

View full text Add to dashboard Cite

Cultivated sunflower holds a very narrow genetic base and the efficient utilization of available genetic diversity is very important for a successful breeding program. In the present study, 109 sunflower genotypes were assessed for diversity paneling through a combined approach of morphological and molecular markers analysis. Morphological parameters including days to flower initiation, days to flower completion, plant height, stem curvature, number of leaves per plant, leaf area, head diameter, hundred seed weight, and seed yield per plant were studied. Simple sequence repeats (40 DNA markers) were deployed for diversity profiling. Data were analyzed by both univariate and multivariate statistics. SD and coefficient of variation confirm the presence of significant amounts of genetic variation for all the morphological parameters. Cluster Analysis and Principal Component Analysis further confirm the presence of distinct grouping patterns in the studied material. Cluster analysis of both morphological and molecular analysis revealed that restorer lines tend to group separately from A, B, and open-pollinated lines. Further grouping, at the sub-cluster level, revealed six distinct sub-clusters in each of the two major clusters. In total, 12 genotypes, 6 CMS lines (CMS-HAP-12, CMS-HAP-54, CMS-HAP-56, CMS-HAP-99, CMS-HAP-111, and CMS-HAP-112) and 6 restorer lines (RHP-38, RHP-41, RHP-53, RHP-68, RHP-69, and RHP-71) could be used as potential parents for hybrid development. As genotypes of similar genetic backgrounds tend to group closer, it is deduced that one genotype with the highest seed yield per plant could be used for further hybrid breeding programs in sunflowers.

show abstract

Section: Discussionmentioning

confidence: 99%

Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The result of many studies indicated that the two to four first generated components explain a high part of the variations of the original data (60 to 90%), thus allowing the use of such components to describe the data completely (Helena, 2000;Inácio et al, 2002;Omran et al, 2014;Simeonov et al, 2003). According to Table 5, about 65.5% of the whole variance explained by the first Factor, whereas 11.4, 10.8, and 9.1% were described by the second, third, and fourth factors, respectively.…”

Section: Principal Component and Factorial Modelmentioning

confidence: 99%

Groundwater Assessment by using Water Quality Index in Some Agricultural Expansion Areas in Sohag Governorate, Egypt

Mustafa

Hamed

2021

Alexandria Science Exchange Journal

View full text Add to dashboard Cite

The present study aims to assess groundwater quality for agriculture purposes using water quality index (WQI) in some agricultural Expansion areas at Sohag Governorate in Egypt. Forty seven (47) water samples were collected from different wells and analyzed. The parameters that define the water quality were recognized using Principal Component Analysis and Factor Analysis (PCA/FA). Hence electrical conductivity (EC), soluble sodium (Na + ), soluble chloride (Cl -), and sodium adsorption ratio (SAR) were determined. Based on the obtained results, the WQI values ranged between 10.36 and 97.19. About 53.2% of the samples were unsuitable for irrigation. However, 12.8% of samples may be suitable for the irrigation of soils without salinization problems. The remaining samples (34%) showed an average of WQI values were 8.51, 6.38 and 19.15 within the low, moderate, and high restriction classes, respectively. WQI may be successfully used as a guideline for the decision-makers.

show abstract

“…PCoA is the multivariate statistical analysis where eigenvalues were extracted from the genetic dissimilarity matrix. This analysis is advantageous since it can be applied when the relations between the variables are not linear (Inácio et al 2002).…”

Section: Of Common Alleles Between the Pairs Of Accessions I And I′mentioning

confidence: 99%

Population structure and genetic diversity of coffee progenies derived from Catuaí and Híbrido de Timor revealed by genome-wide SNP marker

Sousa

Caixeta

Alkimim

et al. 2017

Tree Genetics & Genomes

View full text Add to dashboard Cite

The use of single nucleotide polymorphism (SNP) molecular markers has provided advances in selection methodologies used in breeding programs of different crops, reducing cost and time of cultivar release. Despite the great economic and social importance of Coffea arabica, studies with SNP markers are scarce and a small number of SNP are available for this species, when compared with other crops of agronomic importance. Thus, the objective of this study was to identify and validate SNP molecular markers for the species Coffea arabica and to introduce these markers to genetic breeding by means of an accurate analysis of the diversity and genetic structure of breeding populations of this species. After quality filtering, 11,187 SNP markers were selected from the coffee population obtained from crosses between the genotypes Catuaí and Híbrido de Timor. A great number of markers were distributed in the 11 chromosomes, within transcribed regions, and were used to estimate the genetic dissimilarity among the individuals of the breeding population. Dendrogram analysis and a Bayesian approach demonstrated the formation of two groups and the discrimination of all genotypes evaluated. The expressive number of SNP molecular markers distributed throughout C. arabica genome was efficient to discriminate all the accessions evaluated in the experiment, clustering them according to their genealogies. This work identified mixtures within the progenies. The genotyping data also provided detailed information about the parental genotypes and led to the identification of new candidate parents to be introduced to the breeding program. The study discussed population structure and its consequence in obtaining improved varieties of C. arabica.

show abstract

Ordenação multivariada na ecologia e seu uso em ciências ambientais

Cited by 7 publications

References 6 publications

Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)

Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)

Groundwater Assessment by using Water Quality Index in Some Agricultural Expansion Areas in Sohag Governorate, Egypt

Population structure and genetic diversity of coffee progenies derived from Catuaí and Híbrido de Timor revealed by genome-wide SNP marker

Contact Info

Product

Resources

About