Academic literature on the topic 'Biplot analysis'
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Journal articles on the topic "Biplot analysis"
Oliveira da Silva, Alberto, and Adelaide Freitas. "Time Series Components Separation Based on Singular Spectral Analysis Visualization: an HJ-biplot Method Application." Statistics, Optimization & Information Computing 8, no. 2 (May 18, 2020): 346–58. http://dx.doi.org/10.19139/soic-2310-5070-897.
Full textYan, Weikai, and Nicholas A. Tinker. "Biplot analysis of multi-environment trial data: Principles and applications." Canadian Journal of Plant Science 86, no. 3 (July 7, 2006): 623–45. http://dx.doi.org/10.4141/p05-169.
Full textYan, Weikai, and L. A. Hunt. "Biplot Analysis of Diallel Data." Crop Science 42, no. 1 (2002): 21. http://dx.doi.org/10.2135/cropsci2002.0021.
Full textNeisse, Anderson Cristiano, Jhessica Letícia Kirch, and Kuang Hongyu. "AMMI and GGE Biplot for genotype × environment interaction: a medoid–based hierarchical cluster analysis approach for high–dimensional data." Biometrical Letters 55, no. 2 (December 1, 2018): 97–121. http://dx.doi.org/10.2478/bile-2018-0008.
Full textYan, Weikai, and Duane E. Falk. "Biplot Analysis of Host-by-Pathogen Data." Plant Disease 86, no. 12 (December 2002): 1396–401. http://dx.doi.org/10.1094/pdis.2002.86.12.1396.
Full textARIAWAN, I. MADE ANOM, I. PUTU EKA NILA KENCANA, and NI LUH PUTU SUCIPTAWATI. "KOMPARASI ANALISIS GEROMBOL (CLUSTER) DAN BIPLOT DALAM PENGELOMPOKAN." E-Jurnal Matematika 2, no. 4 (November 29, 2013): 17. http://dx.doi.org/10.24843/mtk.2013.v02.i04.p053.
Full textBocanski, Jan, Aleksandra Nastasic, Dusan Stanisavljevic, Zorana Sreckov, Bojan Mitrovic, Sanja Treskic, and Mirjana Vukosavljev. "Biplot analysis of diallel crosses of NS maize inbred lines." Genetika 43, no. 2 (2011): 277–84. http://dx.doi.org/10.2298/gensr1102277b.
Full textCruz, Derivaldo Pureza da, Tâmara Rebecca Albuquerque de Oliveira, Andréa Barros Silva Gomes, Camila Queiroz da Silva Sanfim de Sant'Anna, Lília Marques Gravina, Richardson Sales Rocha, Mário Euclides Pechara da Costa Jaeggi, et al. "Selection of Cowpea Lines for Multiple Traits by GYT Biplot Analysis." Journal of Agricultural Studies 8, no. 2 (March 2, 2020): 124. http://dx.doi.org/10.5296/jas.v8i2.16003.
Full textAlvarez, Wilin, and Victor John Griffin. "GH Biplot in Reduced-Rank Regression based on Partial Least Squares." Statistics, Optimization & Information Computing 9, no. 3 (July 10, 2021): 717–34. http://dx.doi.org/10.19139/soic-2310-5070-1112.
Full textOtoo, E., K. Osei, J. Adomako, A. Agyeman, A. Amele, D. de Koeyer, P. Adebola, and R. Asiedu. "GGE Biplot Analysis of 12 Dioscorea rotundata Genotypes in Ghana." Journal of Agricultural Science 10, no. 1 (December 13, 2017): 249. http://dx.doi.org/10.5539/jas.v10n1p249.
Full textDissertations / Theses on the topic "Biplot analysis"
Klefens, Paula Cristina de Oliveira. "O Biplot na análise fatorial multivariada." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-25022010-085843/.
Full textMultivariate analysis is a set of techniques that are appropriate for situations where several correlated variables are involved. Among these techniques have the principal components and factor analysis. The technique of principal components reduces the size of an array of original data through linear combinations facilitating the interpretation of these data and factor analysis that is the name given to a class of parametric statistical methods (non parametric) multivariate corresponding to a large number of methods and techniques that use simultaneously all the variables set in the interpretation of the interrelationship of the observed variables (COSTA, 2006). The goal of factor analysis is to describe the covariance relationships between variables in any term underlying, but unobservable, random quantities called factors (Johnson and Wichern, 1998). Biplot is a statistical graph, developed by Gabriel (1971), which represents the in same graph the variables to the observations in order to demonstrate graphically the relationship between variables, between observations and between variables and observations. This paper aims to insert the biplot analysis methodology in three-dimensional technique of multivariate factor analysis. Was used SAS software to perform the factor analysis and construction of the biplot graph and a set of data for the application. The study shows that the graph Biplot is a method of analysis of the utmost importance when inserted in the factor analysis, facilitating and complementing the interpretation of results.
Brand, Hilmarie. "PCA and CVA biplots : a study of their underlying theory and quality measures." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/80363.
Full textENGLISH ABSTRACT: The main topics of study in this thesis are the Principal Component Analysis (PCA) and Canonical Variate Analysis (CVA) biplots, with the primary focus falling on the quality measures associated with these biplots. A detailed study of different routes along which PCA and CVA can be derived precedes the study of the PCA biplot and CVA biplot respectively. Different perspectives on PCA and CVA highlight different aspects of the theory that underlie PCA and CVA biplots respectively and so contribute to a more solid understanding of these biplots and their interpretation. PCA is studied via the routes followed by Pearson (1901) and Hotelling (1933). CVA is studied from the perspectives of Linear Discriminant Analysis, Canonical Correlation Analysis as well as a two-step approach introduced in Gower et al. (2011). The close relationship between CVA and Multivariate Analysis of Variance (MANOVA) also receives some attention. An explanation of the construction of the PCA biplot is provided subsequent to the study of PCA. Thereafter follows an in depth investigation of quality measures of the PCA biplot as well as the relationships between these quality measures. Specific attention is given to the effect of standardisation on the PCA biplot and its quality measures. Following the study of CVA is an explanation of the construction of the weighted CVA biplot as well as two different unweighted CVA biplots based on the two-step approach to CVA. Specific attention is given to the effect of accounting for group sizes in the construction of the CVA biplot on the representation of the group structure underlying a data set. It was found that larger groups tend to be better separated from other groups in the weighted CVA biplot than in the corresponding unweighted CVA biplots. Similarly it was found that smaller groups tend to be separated to a greater extent from other groups in the unweighted CVA biplots than in the corresponding weighted CVA biplot. A detailed investigation of previously defined quality measures of the CVA biplot follows the study of the CVA biplot. It was found that the accuracy with which the group centroids of larger groups are approximated in the weighted CVA biplot is usually higher than that in the corresponding unweighted CVA biplots. Three new quality measures that assess that accuracy of the Pythagorean distances in the CVA biplot are also defined. These quality measures assess the accuracy of the Pythagorean distances between the group centroids, the Pythagorean distances between the individual samples and the Pythagorean distances between the individual samples and group centroids in the CVA biplot respectively.
AFRIKAANSE OPSOMMING: Die hoofonderwerpe van studie in hierdie tesis is die Hoofkomponent Analise (HKA) bistipping asook die Kanoniese Veranderlike Analise (KVA) bistipping met die primêre fokus op die kwaliteitsmaatstawwe wat daarmee geassosieer word. ’n Gedetailleerde studie van verskillende roetes waarlangs HKA en KVA afgelei kan word, gaan die studie van die HKA en KVA bistippings respektiewelik vooraf. Verskillende perspektiewe op HKA en KVA belig verskillende aspekte van die teorie wat onderliggend is tot die HKA en KVA bistippings respektiewelik en dra sodoende by tot ’n meer breedvoerige begrip van hierdie bistippings en hulle interpretasies. HKA word bestudeer volgens die roetes wat gevolg is deur Pearson (1901) en Hotelling (1933). KVA word bestudeer vanuit die perspektiewe van Linieêre Diskriminantanalise, Kanoniese Korrelasie-analise sowel as ’n twee-stap-benadering soos voorgestel in Gower et al. (2011). Die noue verwantskap tussen KVA en Meerveranderlike Analise van Variansie (MANOVA) kry ook aandag. ’n Verduideliking van die konstruksie van die HKA bistipping word voorsien na afloop van die studie van HKA. Daarna volg ’n indiepte-ondersoek van die HKA bistipping kwaliteitsmaatstawwe sowel as die onderlinge verhoudings tussen hierdie kwaliteitsmaatstawe. Spesifieke aandag word gegee aan die effek van die standaardisasie op die HKA bistipping en sy kwaliteitsmaatstawe. Opvolgend op die studie van KVA is ’n verduideliking van die konstruksie van die geweegde KVA bistipping sowel as twee veskillende ongeweegde KVA bistippings gebaseer op die twee-stap-benadering tot KVA. Spesifieke aandag word gegee aan die effek wat die inagneming van die groepsgroottes in die konstruksie van die KVA bistipping op die voorstelling van die groepstruktuur onderliggend aan ’n datastel het. Daar is gevind dat groter groepe beter geskei is van ander groepe in die geweegde KVA bistipping as in die oorstemmende ongeweegde KVA bistipping. Soortgelyk daaraan is gevind dat kleiner groepe tot ’n groter mate geskei is van ander groepe in die ongeweegde KVA bistipping as in die oorstemmende geweegde KVA bistipping. ’n Gedetailleerde ondersoek van voorheen gedefinieerde kwaliteitsmaatstawe van die KVA bistipping volg op die studie van die KVA bistipping. Daar is gevind dat die akkuraatheid waarmee die groepsgemiddeldes van groter groepe benader word in die geweegde KVA bistipping, gewoonlik hoër is as in die ooreenstemmende ongeweegde KVA bistippings. Drie nuwe kwaliteitsmaatstawe wat die akkuraatheid van die Pythagoras-afstande in die KVA bistipping meet, word gedefinieer. Hierdie kwaliteitsmaatstawe beskryf onderskeidelik die akkuraatheid van die voorstelling van die Pythagoras-afstande tussen die groepsgemiddeldes, die Pythagoras-afstande tussen die individuele observasies en die Pythagoras-afstande tussen die individuele observasies en groepsgemiddeldes in die KVA bistipping.
Souza, Édila Cristina de. "Os métodos biplot e escalonamento multidimensional nos delineamentos experimentais." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-19042010-142813/.
Full textThe objective of this study was to evaluate statistical methods of analysis of the interaction of genotypes with environments (G × A), emphasizing the adaptability and stability phenotype. The variables studied were production and soluble solids contents (SST) Melon Galia type, testing 9 genotypes in 12 environments. The experiment was conducted in a randomized block with 3 replications, it was done at Pole Agroindustrial Mossor´o-Assu in Rio Grande do Norte. The performance of cultivars was analyzed by using analysis of variance, methods of adaptability and stability. It carried out the analysis for the production and soluble solids, using the methodologies AMMI (Additive Main Effects and Multiplicative Interaction) and SREG (Sites Regression), graphing simultaneously the genotypes and environments through the AMMI Biplot graphs, GGE Biplot and trilinear plot. The AMMI analysis has the advantage of studying in detail the structure of the interaction effect, and represents both the scores of the interaction effects for each factor. The analysis SREG, incorporates the effect of genotype and in most cases is highly correlated with the scores of the first principal component, it has the advantage of allowing direct graphical assessment of the effect of genotype. It was also proposed the methodology MDS (Multidimensional Scalling) to check the similarities and dissimilarities between the environments, through a distance matrix, representing geometrically the data in two-dimensional space (Biplot) each variable studied, in wich one can be observed disparities environmental show different characteristics.
Gardner, Sugnet. "Extensions of biplot methodology to discriminant analysis with applications of non-parametric principal components." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52264.
Full textENGLISH ABSTRACT: Gower and Hand offer a new perspective on the traditional biplot. This perspective provides a unified approach to principal component analysis (PCA) biplots based on Pythagorean distance; canonical variate analysis (CVA) biplots based on Mahalanobis distance; non-linear biplots based on Euclidean embeddable distances as well as generalised biplots for use with both continuous and categorical variables. The biplot methodology of Gower and Hand is extended and applied in statistical discrimination and classification. This leads to discriminant analysis by means of PCA biplots, CVA biplots, non-linear biplots as well as generalised biplots. Properties of these techniques are derived in detail. Classification regions defined for linear discriminant analysis (LDA) are applied in the CVA biplot leading to discriminant analysis using biplot methodology. Situations where the assumptions of LDA are not met are considered and various existing alternative discriminant analysis procedures are formulated in terms of biplots and apart from PCA biplots, QDA, FDA and DSM biplots are defined, constructed and their usage illustrated. It is demonstrated that biplot methodology naturally provides for managing categorical and continuous variables simultaneously. It is shown through a simulation study that the techniques based on biplot methodology can be applied successfully to the reversal problem with categorical variables in discriminant analysis. Situations occurring in practice where existing discriminant analysis procedures based on distances from means fail are considered. After discussing self-consistency and principal curves (a form of non-parametric principal components), discriminant analysis based on distances from principal curves (a form of a conditional mean) are proposed. This biplot classification procedure based upon principal curves, yields much better results. Bootstrapping is considered as a means of describing variability in biplots. Variability in samples as well as of axes in biplot displays receives attention. Bootstrap a-regions are defined and the ability of these regions to describe biplot variability and to detect outliers is demonstrated. Robust PCA and CVA biplots restricting the role of influential observations on biplot displays are also considered. An extensive library of S-PLUS computer programmes is provided for implementing the various discriminant analysis techniques that were developed using biplot methodology. The application of the above theoretical developments and computer software is illustrated by analysing real-life data sets. Biplots are used to investigate the degree of capital intensity of companies and to serve as an aid in risk management of a financial institution. A particular application of the PCA biplot is the TQI biplot used in industry to determine the degree to which manufactured items comply with multidimensional specifications. A further interesting application is to determine whether an Old-Cape furniture item is manufactured of stinkwood or embuia. A data set provided by the Western Cape Nature Conservation Board consisting of measurements of tortoises from the species Homopus areolatus is analysed by means of biplot methodology to determine if morphological differences exist among tortoises from different geographical regions. Allometric considerations need to be taken into account and the resulting small sample sizes in some subgroups severely limit the use of conventional statistical procedures. Biplot methodology is also applied to classification in a diabetes data set illustrating the combined advantage of using classification with principal curves in a robust biplot or biplot classification where covariance matrices are unequal. A discriminant analysis problem where foraging behaviour of deer might eventually result in a change in the dominant plant species is used to illustrate biplot classification of data sets containing both continuous and categorical variables. As an example of the use of biplots with large data sets a data set consisting of 16828 lemons is analysed using biplot methodology to investigate differences in fruit from various areas of production, cultivars and rootstocks. The proposed a-bags also provide a measure of quantifying the graphical overlap among classes. This method is successfully applied in a multidimensional socio-economical data set to quantify the degree of overlap among different race groups. The application of the proposed biplot methodology in practice has an important byproduct: It provides the impetus for many a new idea, e.g. applying a peA biplot in industry led to the development of quality regions; a-bags were constructed to represent thousands of observations in the lemons data set, in tum leading to means for quantifying the degree of overlap. This illustrates the enormous flexibility of biplots - biplot methodology provides an infrastructure for many novelties when applied in practice.
AFRIKAANSE OPSOMMING: Gower en Hand bied 'n nuwe perspektief op die tradisionele bistipping. Hierdie perspektief verskaf 'n uniforme benadering tot hoofkomponent analise (HKA) bistippings gebaseer op Pythagoras-afstand; kanoniese veranderlike analise (KVA) bistippings gebaseer op Mahalanobis-afstand; nie-lineere bistippings gebaseer op Euclidies inbedbare afstande sowel as veralgemeende bistippings vir gebruik wanneer beide kontinue en kategoriese veranderlikes voorkom. Die bistippingsmetodologie van Gower en Hand word uitgebrei en toegepas in statistiese diskriminasie en klassifikasie. Dit lei tot diskriminantanalise met behulp van HKA bistippings, KVA bistippings, nie-lineere bistippings sowel as veralgemeende bistippings. Die eienskappe van hierdie tegnieke word in besonderhede afgelei. Die toepassing van die konsep van 'n klassifikasiegebied in die KVA bistipping baan die weg vir lineere diskriminantanalise (LDA) met behulp van bistippingsmetodologie. Situasies waar daar nie aan die aannames van LDA voldoen word nie kry aandag en verskeie bestaande altematiewe diskriminantanalise prosedures word in terme van bistippings geformuleer en naas HKA bistippings, word QDA, FDA en DSM bistippings gedefinieer, gekonstrueer en hul gebruike gedemonstreer. Dit word aangetoon dat bistippingsmetodologie op 'n natuurlik wyse voorsiening maak om kategoriese veranderlikes en kontinue veranderlikes gelyktydig te hanteer. Daar word met behulp van 'n simulasie-studie aangetoon dat tegnieke gebaseer op die bistippingsmetodologie wat ontwikkel IS, suksesvol by die sogenaamde ornkeringsprobleem by diskriminantanalise met kategoriese veranderlikes gebruik kan word. Verder word aangevoer dat daar baie praktiese situasies voorkom waar bestaande prosedures van diskriminantanalise faal omdat dit op afstande vanaf gemiddeldes gebaseer IS. Na 'n bespreking van self-konsekwentheid en hoofkrommes ('n vorm van nieparametriese hoofkomponente) word voorgestel om diskriminantanalise op afstand vanaf hoofkrommes ('n vonn van 'n voorwaardelike gemiddelde) te baseer. Sodoende is 'n bistippingklassifikasie prosedure wat op afstand vanaf hoofkrommes gebaseer is en wat baie beter resultate lewer, ontwikkel. Die variasie in die posisies van datapunte in die bistipping sowel as van die bistippingsasse word bestudeer met behulp van skoenlusmetodes. 'n Skoenlus a-gebied word gedefinieer en dit word gedemonstreer hoe so 'n a-gebied aangewend kan word om variasie in bistippings te beskryf en wegleers te identifiseer. Robuuste HKA en KV A bistippings wat die rol van invloedryke waamemings op die bistipping beperk, word bespreek. 'n Omvangryke biblioteek van S-PLUS rekenaarprogramme is geskryf VIr die implementering van die verskillende diskriminantanalise tegnieke wat met behulp van bistippingsmetodologie ontwikkel is. Die toepassing van die voorafgaande teoretiese ontwikkelinge en rekenaarprogramme word geillustreer aan die hand van werklike datastelle vanuit die praktyk. So word bistippings gebruik om die mate van kapitaalintensiteit van ondememings te ondersoek en om as hulpmiddel by risikobestuur van 'n finansiele instelling te dien. 'n Besondere toepassing van die HKA bistipping is die TQI bistipping wat in die industriele omgewing gebruik word ten einde te bepaal tot watter mate vervaardigde artikels aan neergelegde meerdimensionele spesifikasies voldoen. 'n Verdere interessante toepassing is om te bepaal of 'n Ou-Kaapse meubelstuk van stinkhout of embuia gemaak is. 'n Datastel verskaf deur Wes-Kaap Natuurbewaring in verband met die bekende padloper skilpad, Homopus areolatus, is met behulp van bistippings geanaliseer om te bepaal of daar morfometriese verskille tussen die padlopers afkomstig van bepaalde geografiese gebiede is. Allometriese beginsels moes ook in ag gene em word en die min waamemings in sommige van die subgroepe het tot gevolg dat konvensionele statistiese tegnieke nie sonder meer gebruik kan word nie. Die bistippingsmetodologie is ook toegepas op klassifikasie by 'n diabetes datastel om die gekombineerde gebruik van. hoofkrommes in 'n robuuste bistipping te illustreer en bistippingklassifikasie waar daar sprake van ongelyke kovariansiematrikse is. 'n Diskriminantanalise probleem waar die weidingsvoorkeure van wildsbokke 'n verandering in die dominante plantegroei tot gevolg kan he, word gebruik om bistippingklassifikasie met data waar kontinue sowel as kategoriese veranderlikes verskaf word, te illustreer. As voorbeeld van die gebruik van bistippings by 'n groot datastel is 'n datastel bestaande uit waamemings van 16828 suurlemoene met behulp van bistippingsmetodologie geanaliseer ten einde verskille in vrugte afkomstig van verskillende produsente-streke, kultivars en onderstamme te ondersoek. Die a-sakkies wat hier ontwikkel is, lei tot kwantifisering van die grafiese oorvleueling van groepe. Hierdie beginsel word suksesvol toegepas in 'n meerdimensionele sosio-ekonomiese datastel om die mate van oorvleueling van verskillende bevolkingsgroepe te kwantifiseer. Die toepassing van die voorgestelde bistippingsmetodologie in die praktyk lei tot 'n belangrike newe-produk: Dit verskaf die stimulus tot die ontstaan van nuwe idees, byvoorbeeld, die toepassing van 'n HKA bistipping in 'n industriele omgewing het tot die ontwikkeling van die konsep van 'n kwaliteitsgebied aanleiding gegee; a-sakkies is gekonstrueer om duisende waamemings in die suurlemoendatastel te verteenwoordig wat weer gelei het tot 'n metode om die graad van oorvleueling te kwantifiseer. Hierdeur is die geweldige veelsydigheid van bistippings geillustreer - bistippingsmetodologie verskaf die infrastruktuur vir baie vindingryke toepassings in die praktyk.
Hongyu, Kuang. "Comparação do GGE biplot-ponderado e AMMI- ponderado com outros modelos de interação genótipo x ambiente." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-04052015-172304/.
Full textGenotype × environment interaction (GEI) is an extremely important issue in plant breeding and production. The selection and recommendation of superior genotypes are hampered due to the occurrence of GEI and represents a major challenge for researchers. In this context, biplot analyzes have been increasingly used in analyzing agronomic data, in which data are represented by a table of two entries of means of GEI. However, the particularities in the biplot graphic hamper its interpretation, and could lead the researcher to errors. There are several models in the literature for DGE analysis (GEI data), among them, the most used are the AMMI model (Additive Main effects and Multiplicative Interaction Models) and GGE biplot (Genotype main effects + Genotype environment interaction). The AMMI model is a statistical method to understand the structure of interactions between genotypes and environments, combining the analysis of variance and principal component analysis, to adjust, respectively, the main effects (G and E) and the effects of GEI. The GGE Biplot groups genotype of additive effect with multiplicative effect of GEI, and submit these to the principal component analysis. There are two problems in using these models: i) can only be used to analyze MET data (multi-environments), which has a unique feature and ii) whose environments are heterogeneous. This paper aims to propose new W-GGE biplot models (Weighted Genotype main efffects + Genotype environment interaction) and AMMI-weighted multi-environments for data analysis, and make a comparison between the existing models as AMMI and GGE biplot; mega-environment analysis; genotype evaluation, test environment within each mega-environment and understand the causes of GEI.
Wedlake, Ryan Stuart. "Robust principal component analysis biplots." Thesis, Link to the online version, 2008. http://hdl.handle.net/10019/929.
Full textGodoi, Débora Robert de. "Estabilidade em análise de agrupamento via modelo AMMI com reamostragem \"bootstrap\"." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-13112013-143342/.
Full textThe objective of this work is to propose a new interpretation methodology of clustering methods for vegetation data stability, using the AMMI and bootstrap methodology, to gain reliability in the clusters formed. The database used is from the Departament of Genetics of Luiz de Queiroz College of Agriculture, aiming soybean yield. Firstly AMMI is applied, then the Euclidian distance matrix is estimated - based on the original data and on the acquired by the bootstrap method - for the application of clustering methods (nearest neighbor, furthest neighbor, average linkage, centroid , median and Ward). In order to assess the validity of clusters formed the cophenetic correlation coefficient is used, and the Mantel test, in order to show the empirical distribution of the cophenetic correlation coefficients. The clusters obtained by different methods are, in most cases, quite similar, indicating that in principle, any of these methods would be suitable for the representation. The method that presents discrepant results (for both the original and bootstrap method obtained data) - on the dendrogram graphical representation, compared to the others - is the Ward\'s. This study is promising in the analysis of validity of clusters formed in vegetation data.
Buzinaro, Rodolfo [UNESP]. "Capacidade combinatária de linhagens e seleção de híbridos eficiente no uso de Azospirillum brasilense e nitrogênio em milho." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/152362.
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O nitrogênio é um dos elementos mais exigidos pela cultura do milho, pois está diretamente ligado à capacidade de produção agrícola desta espécie. Grande parte dos solos brasileiros agricultáveis possuem deficiência de nitrogênio ou este nutriente não está disponível em quantidades suficientes para suprir a necessidade da cultura, sendo necessário realizar aplicações suplementares de nitrogênio para se alcançar elevadas produtividades. As cultivares atuais de milho são altamente dependentes de adubação nitrogenada, pois foram desenvolvidas para ambientes otimizados, não sendo adaptadas para as condições de cultivo sob baixo nitrogênio. O uso de bactérias diazotróficas, as quais possuem a capacidade de fixar nitrogênio e disponibilizá-lo para as plantas, bem como a associação das plantas com essas bactérias, pode se tornar uma alternativa sustentável e economicamente viável para a produção de milho em sistemas agrícolas sob baixa utilização de nitrogênio. Com base no exposto, os objetivos deste trabalho foram identificar e caracterizar genótipos de milho eficientes no uso do nitrogênio e Azospirillum brasilense em ambientes contrastantes quanto a disponibilidade de nitrogênio no solo e selecionar parentais superiores de milho para eficiência no uso de Azospirillum brasilense. Foram utilizados como material genético 48 genótipos de milho obtidos em esquema de dialelo parcial, utilizando-se oito linhagens parentais pertencentes ao grupo heterótico I, e seis linhagens parentais pertencentes ao grupo heterótico II, todas provenientes do Departamento de Genética da ESALQ/USP. Os experimentos foram conduzidos em três safras (primeira safra 2013/2014 e 2014/2015 e segunda safra 2014) no delineamento de blocos casualizados com duas repetições e três testemunhas. Em cada safra foram realizados três experimentos, os quais eram diferenciados pela aplicação com A. brasilense, aplicação de nitrogênio em cobertura e sem nenhuma aplicação, respectivamente. Os caracteres avaliados foram altura de planta, altura de espiga, florescimentos masculino e feminino, tombamento, produtividade de grãos, peso médio de grãos, número de grãos por fileira, número de fileiras de grãos e, diâmetro e comprimento de espiga. Os índices de eficiência no uso de A. brasilense foram obtidos utilizando os dados referentes aos experimentos com A. brasilense e sem aplicação, para todos os caracteres avaliados. Pela análise dialélica os efeitos aditivos foram mais importantes do que os efeitos não-aditivos para a eficiência no uso de A. brasilense para a maioria dos caracteres, com exceção do peso médio de grãos sob inoculação. Os genótipos do grupo heterótico II apresentaram maior concentração e acúmulo de genes favoráveis para a EUAz eficiência. Os genitores 6 e 8 do grupo heterótico I e os genitores 2’ e 5’ do grupo heterótico II, são os que apresentaram melhores estimativas de capacidade geral de combinação, enquanto o cruzamento 8x6’ apresenta maior estabilidade e complementariedade gênica para eficiência no uso de A. brasilense para a produtividade de grãos. A partir das análises dialélicas por modelos mistos para a produtividade de grãos, as combinações 8 x 6’, 2 x 4’ e 1 x 2’ e os parentais envolvidos nesses cruzamentos foram selecionados para desenvolvimento de híbridos. Os genitores 1, 2, 8 do grupo heterótico I e 1’, 2’, 4’, 5’ e 6’ do grupo heterótico II foram selecionados para formar população base para o programa de melhoramento genético para eficiência no uso de Azospirillum brasilense. Pela análise GGE biplot, para a característica produtividade de grãos, constatou-se que os genótipos 11, 5, 12 e 19 são os mais promissores para a eficiência no uso de A. brasilense. O genótipo dialélico 11 é o mais próximo do “genótipo ideal” dentre o conjunto dos genótipos avaliados. Os ambientes sob aplicação de A. brasilense possuem maior capacidade de discriminar os genótipos.
The nitrogen is one of the elements most required by maize crop because it is directly related to the agricultural production capacity of this species. Most brazilian soils have nitrogen deficiency or it is not available in sufficient quantities to meet the need of the crop, and it is necessary to make supplemental nitrogen applications to reach high yields. The current maize cultivars are highly dependent on nitrogen fertilization since they were developed for optimized environments and were not adapted to the conditions under low nitrogen cultivation. The use of diazotrophic bacteria, which have the ability to fix nitrogen and make it available to plants, as well as the association of plants with these bacteria, can become an ecologically sustainable and economically viable alternative for the production of corn in agricultural systems under low or non-use of nitrogen. Thus, the objectives of this study were to identify and characterize efficient maize genotypes in the use of nitrogen and Azospirillum brasilense in contrasting environments regarding nitrogen availability in the soil and to select higher parental maize for efficiency in the use of Azospirillum brasilense. Were used as genetic material 48 diallelic genotypes were obtained in a partial diallel scheme, using eight lines belonging to the heterotic group I, and six lines belonging to the heterotic group II, all from the Department of Genetics of ESALQ / USP. The experiments were conducted in three crops in a randomized block design with two replicates and three controls. In each season, three experiments were carried out, in which they were differentiated by the application of A. brasilense, application of nitrogen in coverage and without any application, respectively. The evaluated traits were plant height, ear height, male and female blossoms, tipping, grain yield, mean grain weight, number of grains per row, number of rows of grain and diameter and length of the spike. The indices of efficiency in the use of A. brasilense were obtained using the data referring to the experiments with A. brasilense and without application, for all evaluated characters. By conventional diallel analysis the additive effects were more important than the non-additive effects for the efficiency in the use of A. brasilense for most of the characters, except for the average grain weight. The genotypes of the heterotic group II present greater concentration and consistency of genes favorable for this efficiency. The heterotic group I and the heterotic group I and the heterotic group I and the heterotic group II, are the ones that present the best estimates of overall combining ability, while the 8x6 'crossroads present greater stability and gene complementarity for efficiency in the use of A. brasilense. From diallel analyzes by mixed models the combination 8 x 6’, 2 x 4’, 1 x 2’ and parents involved in these crosses were selected for development of hybrids. The genitors 1, 2, 8 from the heterotic group I and 1’, 2’, 4’, 5’ and 6’ from the heterotic groups II were selected to explore basic population in A. brasilense-use efficiency breeding program. From the GGE biplot analysis, for the characteristic grain yield, it was contacted that the diallel genotypes 11, 5, 12 and 19 are the most promising for the efficiency in the use of A. brasilense. The diallelic genotype 11 is the closest to the "ideal genotype" among the set of diallel genotypes evaluated. The environments under application of A. brasilense have a greater ability to discriminate the genotypes.
Blasco, Duatis Marc. "El análisis composicional (CoDa) como herramienta para el mapeo de la teoría de la agenda-setting. Estudio de caso de la opinión sobre política en el sistema mediático español, dentro del período de las Elecciones Generales de 2015." Doctoral thesis, Universitat de Girona, 2018. http://hdl.handle.net/10803/664055.
Full textDesde que a inicios de la década de los años setenta los investigadores Maxwell McCombs y Donald Shaw publicaran el trabajo seminal de Chapel Hill sobre la teoría de la agenda-setting (AS), sus académicos han abordado, fundamentalmente, las investigaciones mediante dos herramientas metodológicas: una primera fase de análisis de contenido, empleada para estudiar la cobertura noticiosa y, por ende, la prominencia o saliencia de determinados temas o atributos en la agenda; y un segundo estudio de naturaleza estadística, basado en la verificación del nivel de correlación existente entre los temas, sus emisores o el global de las distintas agendas. El análisis de los contenidos generalmente se ha enfocado en la importancia relativa o comparativa de algunos temas sobre otros. Se supone que algunos medios o actores sociales están más ocupados que otros en determinados temas, lo que ha llevado a un estudio general del volumen relativo de información, en detrimento del análisis detallado del contenido. Tales diferencias (o similitudes) se han evaluado tradicionalmente a partir de la comparación de las frecuencias de sus contenidos principales, que, por medio de las correlaciones de Spearman entre los emisores, han fomentado un análisis sobre el ordenamiento jerárquico, despreciando las diferencias relativas o 2/3 absolutas y, por lo tanto, cualquier otra información. A la vista de esta necesidad, y para resolver estos procedimientos cuando el interés reside en la importancia relativa de las partes de un todo, la tesis aborda el análisis de Datos Composicionales (CoDa), fundamentado por Aitchinson en 1982, junto con la representación gráfica a través de biplots, impulsada por Gabriel en 1971, para el estudio y mapeo de la teoría de la AS. El interés en CoDa reside en la proporción de cada parte o componente, ya que las cantidades absolutas son irrelevantes y sólo exponen el tamaño de la muestra. Un problema muy similar en todos los aspectos al que se establece en el estudio de la AS, donde los datos absolutos son irrelevantes y en su mayoría apuntan sobre la temática del contenido, la intencionalidad del mismo, la popularidad del emisor, etc. En esta línea, sólo las proporciones de cada categoría de contenido o el tamaño relativo de un tipo de contenido sobre otro, son verdaderamente informativos. De acuerdo con estas premisas, la presente tesis doctoral se estructura en cinco artículos que distinguen la originalidad del estudio en presentar el CoDa-biplot como herramienta para el mapeo y estudio composicional de la teoría de la AS. Sirviéndose del período de las Elecciones Generales en España de 2015, la tesis se presenta como una unidad temática que aborda, a lo largo de cinco publicaciones, el mapeo y estudio composicional de la teoría de la AS de la opinión sobre política en el sistema mediático español (agenda de los medios), así como de las comunicaciones de carácter político en Twitter de los principales partidos españoles (agenda política). Asimismo, el estudio agregado de ambas agendas (la de los medios y la política) nos permite abordar el análisis y representación de la intermedia AS
Kassem, Sara. "Simpsons biplan metod jämfört med Philips Heart Model vid bestämning av vänsterkammares ejektionsfraktion." Thesis, Örebro universitet, Institutionen för hälsovetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-92907.
Full textIntroduction: Simpson’s biplane method is the most used method for determining the left ventricular ejection fraction (LVEF) in echocardiographic examinations. Ejection fraction is a central measurement of the heart's global systolic function. The probe with piezoelectric crystals emits ultrasound waves with a frequency above 20,000 Hz. The sound waves that are sent out into the body are reflected and then return to the probe to create an image. This study compares the two-dimensional (2D) ultrasound Simpson's biplane method with the Philips Heart Model method, which is an automated three-dimensional (3D) function for assessment of LVEF. Material and method: 31 subjects with no recorded heart pathologies between the ages of 21-64 were included in the study. Apical 4- and 2-chamber images were collected from the test subjects, where the Simpson's biplane method was applied to calculate the ejection fraction. 2D apical 4-chamber images were collected to convert to 3D and used to calculate the ejection fraction with the Philips Heart Model. Results: The results of this study showed that there is no significant difference between the Simpson’s biplane method and the Philips Heart Model method for determining ejection fraction. Discussion: The Philips Heart Model method is a relatively new feature that uses artificial intelligence to analyze 3D images. The Philips Heart Model method is a reliable feature to use as most studies have proven similar and reliable measurements when comparing it with other methods for determining LVEF. Conclusion: According to this study, the Philips Heart Model feature provides equivalent measurements in comparison with the manual method Simpson's biplane.
Books on the topic "Biplot analysis"
S, Kang Manjit, ed. GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists. Boca Raton, Fla: CRC Press, 2003.
Find full textYan, Weikai, and Manjit S. Kang. GGE Biplot Analysis. CRC Press, 2002. http://dx.doi.org/10.1201/9781420040371.
Full textYan, Weikai, and Manjit S. Kang. GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. CRC, 2002.
Find full textLubbe, Sugnet Gardner, John C. Gower, and Niel J. Le Roux. Understanding Biplots. Wiley & Sons, Incorporated, John, 2011.
Find full textLubbe, Sugnet Gardner, John C. Gower, and Niel J. Le Roux. Understanding Biplots. Wiley & Sons, Incorporated, John, 2011.
Find full textLubbe, Sugnet Gardner, John C. Gower, and Niel J. Le Roux. Understanding Biplots. Wiley & Sons, Incorporated, John, 2010.
Find full text(Editor), John Gower, Sugnet Gardner (Editor), and Niel Le Roux (Editor), eds. Statistical Graphics and Multivariate Data: Methods and Applications of Biplots. John Wiley & Sons Inc, 2008.
Find full textBook chapters on the topic "Biplot analysis"
Graffelman, Jan. "A Universal Procedure for Biplot Calibration." In Studies in Classification, Data Analysis, and Knowledge Organization, 195–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11363-5_22.
Full textYan, Wei kai, and L. A. Hunt. "Biplot analysis of multi-environment trial data." In Quantitative genetics, genomics and plant breeding, 162–77. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781789240214.0162.
Full textCroux, Christophe, and Peter Filzmoser. "A Robust Biplot Representation of Two-way Tables." In Studies in Classification, Data Analysis, and Knowledge Organization, 355–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72253-0_48.
Full textGardner, Sugnet, and Niël le Roux. "Discriminant Analysis With Categorical Variables: A Biplot Based Approach." In Between Data Science and Applied Data Analysis, 30–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-18991-3_4.
Full textMeulman, Jacqueline J. "A Distance-Based Biplot for Multidimensional Scaling of Multivariate Data." In Studies in Classification, Data Analysis, and Knowledge Organization, 506–17. Tokyo: Springer Japan, 1998. http://dx.doi.org/10.1007/978-4-431-65950-1_56.
Full textGardner, Sugnet, and Niel le Roux. "Biplot Methodology for Discriminant Analysis Based upon Robust Methods and Principal Curves." In Classification, Clustering, and Data Analysis, 169–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56181-8_18.
Full textSpangenberg, Norbert, and Karl Erich Wolff. "Comparison of Biplot Analysis and Formal Concept Analysis in the case of a Repertory Grid." In Studies in Classification, Data Analysis, and Knowledge Organization, 104–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76307-6_15.
Full textNishisato, Shizuhiko, Eric J. Beh, Rosaria Lombardo, and Jose G. Clavel. "Biplots for Variants of Correspondence Analysis." In Behaviormetrics: Quantitative Approaches to Human Behavior, 181–213. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2470-4_10.
Full textCalvo, M., A. Villarroya, and J. M. Oller. "Nonlinear Biplots for Multivariate Normal Grouped Populations." In Studies in Classification, Data Analysis, and Knowledge Organization, 343–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72253-0_46.
Full textGardner, Sugnet, and Niel Roux. "Modified Biplots for Enhancing Two-Class Discriminant Analysis." In Classification, Clustering, and Data Mining Applications, 233–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17103-1_22.
Full textConference papers on the topic "Biplot analysis"
Luis, Pilacuan Bonete, and Galindo Villardon Purificación. "Carbon Dioxide Emissions. A Multivariate Analysis HJ-Biplot, Clustering Biplot and Clustering Disjoint Biplot." In The 5th World Congress on New Technologies. Avestia Publishing, 2019. http://dx.doi.org/10.11159/icepr19.160.
Full text"Genomic analysis of Vavilov's historic chickpea landraces using GWAS, AMMI and GGE biplot analyses." In Bioinformatics of Genome Regulation and Structure/ Systems Biology. institute of cytology and genetics siberian branch of the russian academy of science, Novosibirsk State University, 2020. http://dx.doi.org/10.18699/bgrs/sb-2020-221.
Full textJavier Delgado Alvarez, Francisco, and Purificacion Galindo Villardon. "A proposal for spatio-temporal analysis of traffic matrices using HJ-biplot." In 2015 IEEE International Workshop on Measurements and Networking (M&N). IEEE, 2015. http://dx.doi.org/10.1109/iwmn.2015.7322979.
Full textFitry, Ratna, N. Rostini, Hersanti, and Anas. "Biplot and Correlation Analysis of 189 Superior F2 Genotypes Chili-Unpad in Indonesia." In 2nd and 3rd International Conference on Food Security Innovation (ICFSI 2018-2019). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/absr.k.210304.003.
Full textGinanjar, Irlandia, Udjianna S. Pasaribu, and Sapto W. Indratno. "A measure for objects clustering in principal component analysis biplot: A case study in inter-city buses maintenance cost data." In STATISTICS AND ITS APPLICATIONS: Proceedings of the 2nd International Conference on Applied Statistics (ICAS II), 2016. Author(s), 2017. http://dx.doi.org/10.1063/1.4979432.
Full textCuevas, N. "Energizing a Bipole Casing Electromagnetic Source - Sensitivity Analysis." In 76th EAGE Conference and Exhibition 2014. Netherlands: EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20141096.
Full textDevi, L., Ch Saibabu, and S. Sivanagaraju. "Reliability analysis of bipole HVDC transmission system installed by a tapping station." In 2017 Innovations in Power and Advanced Computing Technologies (i-PACT). IEEE, 2017. http://dx.doi.org/10.1109/ipact.2017.8245177.
Full textBassani, Niccolo, Federico Ambrogi, Danila Coradini, Patrizia Boracchi, and Elia Biganzoli. "Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data." In 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, 2010. http://dx.doi.org/10.1109/ijcnn.2010.5596333.
Full textd'Alessandro, V., L. K. Nanver, P. J. Zampardi, and N. Rinaldi. "Analysis of Electrothermal Effects in Bipolar Current Mirrors." In 2007 IEEE Bipolar/BiCMOS Circuits and Technology Meeting. IEEE, 2007. http://dx.doi.org/10.1109/bipol.2007.4351852.
Full textLeyssenne, L., J. m. Pham, P. Jarry, E. Kerherve, and Daniel Saias. "Analysis of Temperature Modulation on a SiGe Power Amplifier Non Linearity." In 2006 Bipolar/BiCMOS Circuits and Technology Meeting. IEEE, 2006. http://dx.doi.org/10.1109/bipol.2006.311130.
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