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Showing 1 to 20 of 23 for “"Biplot"”.
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Biplot graphical display techniques
… value decomposition. These techniques, known as biplots, are used to find low dimensional representations of multidimensional data matrices. The aim of the thesis is to provide a review of biplots for a practical statistician who is not familiar with the area. It therefore focuses on the …
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The construction of a partial least squares biplot
… and columns (variables). For this reason, biplots, the joint graphical display of the rows and columns of a data matrix, can be useful tools for analysis. Since they were first introduced, biplots have been employed in a number of multivariate methods, such as Correspondence Analysis (CA), …
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Interação genótipos x ambientes via GGE Biplot/REML-BLUP em milho sob estresse nutricional
… ferramenta muito utilizada é a modelagem via GGE Biplot (efeitos principais dos genótipos (G) mais interação genótipo-ambiente (GA)) combinada com as equações de modelos mistos. Entretanto, é necessário entender como a predição e correção dos valores genéticos para os efeitos fixos interfere nas …
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Biplots based on principal surfaces
… the nonlinear surface of the previous iteration. Biplots are considered as extensions of the ordinary scatterplot by providing for more than three variables. When the difference between data points are measured using a Euclidean embeddable dissimilarity function, observations and the associated …
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Unravelling black box machine learning methods using biplots
… is to expand on the theory and use of biplots to visualise the impact of the various input factors on the output of the machine learning black box. Biplots are used because they give an optimal two-dimensional representation of the data set on which the machine learning model is …
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Data integration and visualization for systems biology data
… distributions are right-skewed (Chapter 2). The biplot display provides an effective tool for reducing the dimensionality of the systems biological data and displaying the molecules and time points jointly on the same plot. Biplot of M. truncatula data revealed the overall system behavior, …
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Application of genetic and statistical tools for improvement of Louisiana rice
… lines of the SB2 mapping population using GGE biplots (2) Exploit whole genome sequences of 13 inbred lines to identify non-synonymous SNPs (nsSNPs) and candidate genes for SB resistance. Genotype-by-environment interaction for SB analysis was performed using heritability-adjusted GGE (HA-GGE) …
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Stability analysis for soybean (Glycine max (l.) Merrill) Cultivars in Eastern South Dakota Environments
… effect was found in both years. AMMI 1 biplot and AMMI 2 biplot were used to find the general or specific adaptation of soybean genotypes/cultivars to given locations. In 2011, cultivars HEFTY H15Y12 and HEFTY H19Y12 were widely adapted for grain yield, while HEFTY H17Y12 and NORTHSTAR …
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Pyramiding Disease Resistance Genes In Wheat (Triticum aestivum L.)
… toxin deoxynivalenol (DON) were not significant. Biplot analyses of the F3 and derived F5 populations demonstrated that the associations between molecular markers and disease resistance were heritable and that genotypic screening can be used in early generations in a small population. …
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Statistical analysis of bird atlas data from Swaziland
… in Chapter 1 was unavoidable. In Chapter 3, biplot techniques were used to obtain a graphical representation of the bird atlas data.
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A Study of the Genetics of Root Nodulation in Pigeonpea (Cajanus cajan) Using Indigenous Rhizobia
… level. Further analysis using the GGE biplot model was carried out to understand better the relationship between the host plants and the microsymbionts. For objective (i) of the fourth study, three healthy seeds of each legume species were planted in a plastic pot filled with 1.65 kg …
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Three-mode principal component analysis in designed experiments
… of data. The plot is a multiway analogue of the biplot graphical analysis for two-way matrices. Each observation is represented by a linear combination of inner products of markers which are obtained from three-mode principal component analysis. The relationship between various models and the …
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Morpho-agronomic and genetic variation and segregation patterns of phaseolus vulgaris landraces from selected provinces of South Africa
… respectively. The landraces were clustered in a biplot and dendrogram based on their seed coats, shape, similar morpho-agronomic traits, and their area of origin. The 12 parents of P. vulgaris produced offspring that are different from their parents in seed colour, shape, and size. The genetic …
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Statistical analysis of crystallographic data
… and were compared with the original output. Biplots were used to visualise the variables describing the fragments. Biplots are multivariate analogues to scatter plots and are used to visualise how the fragments are related to the variables describing them. Owing to the large number of …
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Scientific aspects of urolithiasis : quantitative stone analyses and crystallization experiments
… of logarithmic data known as a 'covariance biplot'. Several interesting correlations were obtained. Fluoride concentrations in two stone collections - 20 calculi from India and 42 from South Africa - were determined using a fluoride-ion sensitive electrode and the HNO₃/HClO₄ digestion …
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Variation in Drought Tolerance Attributes Among Tepary Bean (Phaseolus acutifolius) Germplasm
… but PC3 was dominated by both LCC and SD. In the biplot analysis four genotypes (‘Ac-2’, ‘Ac-19’, ‘Ac-30’ and ‘Ac-41’) were clustered around the origin prior to the moisture stress treatment while five genotypes (‘Ac-3’, ‘Ac-9’, ‘Ac-11’, ‘Ac-28’ and ‘Ac-35’) were distinct and positioned far away …
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