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Cluster analysis in degraded areas by erosion in the Nazareno (MG) region. Author(s): CASSARO, R.; FERREIRA, R. R. M.; FERREIRA, V. R. M.; RODRIGUES, V. G. S. Abstract: When analyzing a database, summarize collected information is the analyst main challenge. In many cases, when you have a large number of data, it may be of interest to create groups. A clust... ... Repository: BDPA Publication year: 2021
Cluster analysis to select peanut drought tolerance lines. Author(s): PEREIRA, J. W. DE L.; SILVA, E. C. A. DA; NOGUEIRA, R. J. M. C.; MELO FILHO, P. DE A.; LIMA, L. M. de; SANTOS, R. C. dos The breeding programs focused on semiarid environments significantly invest on selection of early-mature genotypes with the ability to maintain yield at reasonable levels, when drought sets in. The fa... ... Repository: BDPA Publication year: 2015
Classifying hybrids of energy cane for production of bioethanol and cogeneration of biomass-based electricity by principal component analysis-linked fuzzy c-means clustering algorithm. Author(s): MOREIRA, B. R. de A.; VIANA, R. da S.; LISBOA, L. A. M.; LOPES, P. R. M.; FIGUEIREDO, P. A. M. de; RAMOS, S. B.; BONINI, C. S. B.; TRINDADE, V. D. R.; ANDRADE, M. G. de O.; MAY, A. Abstract: The biggest challenge facing in sugar-energy plants is to move towards the biorefinery concept, without threatening the environment and health. Energy cane is the state-of-the-art of smart e... ... Repository: BDPA Publication year: 2019
Cluster analysis of breeding values for milk yield and lactation persistency in Guzerá cattle. Author(s): CRUZ, D. A. C. da; SAVEGNAGO, R. P.; SANTANA, A. B. B.; PEIXOTO, M. G. C. D.; BRUNELI, F. A. T.; FARO, L. El ABSTRACT - The aim of this study was to explore the pattern of genetic lactation curves of Guzerá cattle using cluster analysis. Test-day milk yields of 5,274 first-lactation Guzerá cows were recorded... ... Repository: BDPA Publication year: 2016
SNP clustering on DBSCAN and sensitivity analysis. Author(s): BRUM, V. C.; OLIVEIRA, I. L.; SILVA, M. V. G. B.; ARBEX, W. A. Repository: BDPA Publication year: 2014
Streamlined approaches for image classification using principal component analysis and hierarchical clustering of extrudates from coffee and sorghum blends. Author(s): HIDALGO CHÁVEZ, D. W.; SILVA, F. L. C. DA; PINTO, R. V.; CARVALHO, C. W. P. de; FREITAS-SILVA, O. This article describes simple methods to group images including principal component analysis (PCA) and hierarchical clustering of principal components (HCPC). Images of expanded and low expanded extru... ... Repository: BDPA Publication year: 2023
Wavelet analysis and hierarchical clustering of ofm phenotypic population's variations originated from southern america and europe and attempts of a first relation to molecular divergence. Author(s): DAMOS, P.; BONSIGNORE, C. P.; NAVA, D. E.; BERNARDI, D.; BOTTON, M.; BARROS-PARADA, W.; FUENTES-CONTRERAS, E.; ESCUDERO-COLOMAR, L. A.; BOSCH, D.; AVTZIS, D. N. In this work we compare Grapholita molesta Busck (Lepidoptera: Tortricidae) populations originated from Brazil, Chile, Spain, Italy and Greece using power spectral density and phylogenetic analysis to... ... Repository: BDPA Publication year: 2016
Multivariate clustering analysis of evaluation to determine resistance to worms in Santa Ines sheep. Author(s): RODRIGUES, F. N.; LEAL, T. M.; ARAUJO, A. M. de; HASSUM, I. C.; ALMENDRA, S. de O.; OLIVEIRA, M. B. de; SARMENTO, J. L. R. Repository: BDPA Publication year: 2017
Non-hierarchical cluster analysis for body weight, age at first egg, egg production and egg weight in a laying hen strain. Author(s): FREITAS, L. A. de; GRUPIONI, N. V.; SAVEGNAGO, R. P.; STAFUZZA, N. B.; FIGUEIREDO, E. A. P. de; SCHMIDT, G. S.; LEDUR, M. C.; MUNARI, D. P. Repository: BDPA Publication year: 2016
Comparison between cluster methods using simultaneous analysis of qualitative and quantitative data in bananas. Author(s): LEDO, C. A. da S.; ROQUE, R. L.; AMORIM, T. B.; GONÇALVES, Z. S.; FERREIRA, C. F.; AMORIM, E. P. Understanding the genetic variability in germplasm banks is essential to genetic breeding programs. Usually quantification of the variability is carried out using quantitative and qualitative data sep... ... Repository: BDPA Publication year: 2014

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