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Principal components analysis is one of the modern mathematical-statistic methods and it enables the reduction and organization of the results in order to indicate important implicit features. In such an analysis the components, correlated with each other, are shown on the basis of the matrix correlation of many variables. The examined materials were femur heads of hip joints which had various degenerative-deforming changes and came from people who lived on the industrial area. The examined population of 103 femur heads came from 64 women and 39 men. The determination of the content of 12 metals in samples of femur heads was made using atomic absorption spectrophotometry (AAS) by the means of the Pye Unicam SP-9 in the flame acetylene-air. The principal components analysis in most examined groups showed that the first factor describes the change of the Cr, Ni, Cu, Zn, Na and Ca contents. Other main components emphasized variously the meaning of a given parameter. The results of PCA analysis are in accordance with the results of correlative analysis.
In this paper assessment of the phenotypic diversity in 40 blackcurrant (Ribes ni- grum L.) cultivars was presented. The cultivars were from the breeding (working) collection, and originated from over a large geographical range. Bushes of the geno­types in the working collection were planted in autumn of 2004 in the Experimental Orchard in Dąbrowice, near Skierniewice, belonging to the Fruit Breeding Depart­ment of the Research Institute of Pomology and Floriculture. Observations of 17 agronomical traits collected during the two years of 2007-2008 were analyzed. Two multivariate methods were used, i.e. principal component analysis (PCA) and cluster analysis (CA) using Ward's method and the square of the Euclidean distance. The first three PCs explained about 56% of the multi-trait variation among the cultivars, and the first two accounted for about 39% of the multi-trait variation. There was a high correlation of the two phenological traits, fruit size and firmness of fruit skin with PC1. This correlation represents the most important genetic common factor that could be called, "Ripening time driving fruit size and firmness". The PC2 was mostly correlated with number of basal shoots and fruit yield per plant. It represents the sec­ond common factor called, "Plant architecture affecting fruit productivity". Traits such as ripening time, fruit size and firmness, number of basal shoots, fruit yield per plant, as well as susceptibility to diseases and pests are the most discriminating po- mological attributes that mainly contribute to overall phenotypic diversity of theblackcurrant cultivars. The cultivars were divided into five distinct clusters. Distribu­tion of the cultivars in two PCs coordinates allowed us to find the existing rich diver­sity for the studied traits. Such diversity proves, that the characterized blackcurrant cultivar collection has high potential for specific breeding goals. The cultivars in­cluded in the diverse clusters could be promising parents with complementary levels of the most discriminating traits. They should be used for hybridization in order to obtain a high heterotic response. This response would substantially contribute to the blackcurrant breeding programs.
A comparative study of the oil yield and fatty acid composition of three Salvia species seeds collected in different locations has been conducted. Seed oil extraction was made using a Soxhlet-extractor and fatty acid analysis was undertaken using a GC-FID. The effect of the collecting site on oil yield, as well as the content of individual fatty acid and total fatty acid and fatty acid content was significant. Seed oil yield varied from 14.94 to 22.83% and the total fatty acids ranged from 67.36 to 82.49 mg/g DW. α-Linolenic (24.02-49.19%), linoleic (20.13-42.88%), oleic (12.97-17.81%) and palmitic (8.37-16.63%) acids were the most abundant fatty acids in all analyzed samples. α-Linolenic acid was found to be the major fatty acid in S. verbenaca and S. officinalis species, however, S. aegyptiaca was characterized by the prevalence of linoleic acid. Among the unsaturated fatty acids, which were represented in all samples in high amounts (78.16-89.34%), the polyunsaturated fatty acids (α-linolenic and linoleic acids) showed important levels ranging from 63.09 to 74.71%. Seeds of S. verbenaca were the richest in polyunsaturated fatty acids.
The level of genetic relatedness of ninety-six strawberry cultivars, released in dif­ferent breeding centres of seventeen countries, was estimated based on analysis of their DNA polymorphism. Five hundred fifty-eight polymorphic amplicons, with a size range from 80 to 2600 bp, were generated in PCRs carried out on the template of DNA isolated from plants representing all analyzed cultivars. In RAPD reactions, polymorphic bands covered 58% of the total number of PCR products, while in ISSR, SSR and selective AFLP, the polymorphic DNA fragments covered 75%, 70% and 67% of all amplicons, respectively. Data concerning DNA polymorphism were as­sembled using the PCo-A method (Principal Component Analysis), and then referred to information about country of origin and pedigree described by the breeders. The results showed that contemporary breeding uses genetic resources in a very narrow range. Consequently, the cultivars released in individual breeding centres presented a very close relationship and were grouped in one, or at most two, genetic clusters.
This contribution presents the results of the investigation of the Oyców birch (Betula oycoviensis Besser) population in Volyně, the Ore Mts., the only locality with its confirmed presence in the Czech Republic. The Volyně locality is situated ca 700 m ASL (mean temperature 6.5°C, annual precipitation 700 mm) mostly on nutrient-poor abandoned pastures. The aim of this paper is to present the results of geometric morphometric study on leaves and to summarize up to date knowledges on this tree species. We found and described altogether 58 individuals of Oyców birch during the field exploration. Dendrometric parameters, vitality and crown shape were analysed. To define characteristic morphological features of Oyców birch, we performed geometric morphometric method on leaves of selected 36 specimens. We found that 15 distinctive traits could be used to distinguish B. oycoviensis from Betula pendula Roth. The traits we considered most important are as follows: petiole length, number of major veins, blade length and blade width. These traits are in accordance with traits that common botanical field guides refer to. The appropriate management steps to support the natural regeneration of Oyców birch in the Volyně locality were recommended. To improve conditions for natural regeneration, grass sward removal in chosen spots is advisable. And finally, the artificial regeneration could be used to accelerate the propagation of the population.
The present work describes the morphological distance of a cranium between specimens of Castor fiber from Neolithic period and contemporary specimens which live in the same region of Poland. Two well-pre­served skulls of Neolithic beavers and 32 skulls of contemporary beavers were available. In order to compare the skulls, first the age of the animals was estimated followed by 22 measurements of each skull. On the basis of Principal Components Analysis it was found that the skull in the beaver changes its dimensions with age. Moreover, a strong positive allometry was found of the external sagittal crest in relation to age. The other craniometric features showed negative allometry. The PCA method also made it possible to determine that the skull of a 3-year old Neolithic beaver is as big as skulls of 4- to 5-year old contemporary ones. The skull of the second Neolithic beaver, a 5-year old, is the largest among skulls of contemporary beavers in its age group.
In order to demonstrate that silicate (SiO3-Si) can be used as an indicator to study upwelling in the northern South China Sea, hierarchical cluster analysis (CA) and principle component analysis (PCA) were applied to analyse the metrics of the data consisting of 14 physical-chemical-biological parameters at 32 stations. CA categorized the 32 stations into two groups (low and high nutrient groups). PCA was applied to identify five Principal Components (PCs) explaining 78.65% of the total variance of the original data. PCA found important factors that can describe nutrient sources in estuarine, upwelling, and non-upwelling areas. PC4, representing the upwelling source, is strongly correlated to SiO3-Si. The spatial distribution of silicate from the surface to 200 m depth clearly showed the upwelling regions, which is also supported by satellite observations of sea surface temperature.
The study investigated the effect of microhabitat (emergent/submerged macrophytes) within lakes of different status (transparent/cloudy water) on the diversity and distribution of chironomid assemblages. Field and laboratory studies were undertaken bimonthly, from January to November 2008, in two shallow lakes of Polesie Lubelskie (eastern Poland), transparent water and cloudy water lake. The main objectives of the study were to compare the density and taxonomic richness of chironomids associated with emergent and submerged macrophytes within lakes of extremely different environmental conditions and to recognize the most important variables affected chironomid distribution between microhabitats within lakes. In transparent water lake, number of chironomid taxa varied between 12 (emergent macrophytes) and 18 taxa (submerged macrophytes) and was significantly higher than in cloudy water lake, 6 and 8 taxa, respectively. Mean abundance of chironomids associated with emergent macrophytes was higher in cloudy water lake. The opposite relation was observed on submerged macrophytes. The PCA analysis showed visible distinction of chironomid assemblages between microhabitats and lake types. The results of RDA led to determine the significant variables (Monte-Carlo permutation test) affected chironomid distribution. In both, transparent and cloudy water lake, the significant variables responsible for chironomids distinction between microhabitats were density and biomass of macrophytes, biomass of periphytic algae and pH. Moreover, nutrients, N-NO3 (transparent water lake) and P-PO4 (cloudy water lake), showed the significant influence.
Interdisciplinary investigations of 39 lakes of the Lubuskie Lakeland (mid-Western Poland) were undertaken in the vegetation seasons 2002–2009. The aim of presented study was to characterize the significance of charophytes as indicators of habitat differentiation of lakes using the number of species, number of communities and the percentage share in the phytolittoral area. Each lake was characterized based on the results of macrophyte vegetation, vegetation depth extent, pelagic phytoplankton biomass, lakes area, max. depth, SD visibility, pH, conductivity, O₂, total hardness, Ca, Mg, PO₄, TP, NH₄, NO₃, NO₂, N org., TN. The statistical analyses (PCA), revealed that the investigated lakes were differentiated according to the basic morphometrical and physicochemical parameters and that the differentiation was reflected in the percentage share of charophytes in phytolittoral (in general – the bigger, deeper and more clear water were the lakes, the greater part of phytolittoral was covered by charophytes). Using simple cluster analysis based on the number of different types of macrophyte communities (helophytes, elodeids, nymphaeids and charophytes) two distinct groups of lakes were distinguished. Charophyte communities were at most responsible for obtained differentiation (one group with 0 or 1 and second with 1–6 charophyte communities). The distinguished groups of lakes differed significantly as regards 12, out of all 18 considered parameters. The greatest differences were evidenced for area, max. depth, SD visibility, Ca, Mg, NH₄, NO₃, phytoplankton biomass and vegetation depth extent. Similar analyses were made for the number of charophyte species, for which the lakes were divided into four groups (0– 1, 2–3, 4–5 and 6–7 charophyte species per lake). In this case 11 parameters significantly differed between distinguished groups of lakes, showing, that better habitat conditions were in the lakes where more charophyte species were stated. The obtained results revealed that all analyzed charophyte indicators (the number of species, number of communities as well as the percentage share in the phytolittoral area) very clearly reflect habitat variation and water quality of lakes and thus may be used as valuable bioindicators of lakes condition.
Several mammal species have recolonized their historical ranges across Europe during the last decades. In November 2012, a wolf-looking canid was found dead in Thy National Park (56° 56′ N, 8° 25′ E) in Jutland, Denmark. DNA from this individual and nine German wolves were genotyped using a genome-wide panel of 22,163 canine single nucleotide polymorphism (SNP) markers and compared to existing profiles based on the same marker panel obtained from northeastern Polish (n = 13) wolves, domestic dogs (n = 13) and known wolf-dog hybrids (n = 4). The Thy canid was confirmed to be a wolf from the German-western Polish population, approximately 800 km to the southeast. Access to the German reference database on DNA profiles based on 13 autosomal microsatellites of German wolves made it possible to pinpoint the exact pack origin of the Thy wolf in Saxony, Germany. This was the first documented observation of a wolf in Denmark in 200 years and another example of long-distance dispersal of a carnivore.
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