Data/hora: 11/06/2024 07:57:33

Provedor de dados: 	124	
País: 	Brazil	
Título: 	Alternative for the evaluation of coffee seedlings using Fisher's discriminant analysis	
Autores: 	Campos,Katia Alves; Morais,Augusto Ramalho de; Paixão,Crysttian Arantes.	
Data: 	2016-06-01	
Ano: 	2016	
Palavras-chave: 	Variable selection; Multivariate analysis; Data transformation; Analysis of variance; Coffea arabica.	
Resumo: 	ABSTRACT One of the applications of Fisher's linear discriminant function (FDF) is its use in transforming multivariate data into a new univariate variable. This then makes possible a new option for the variance analysis of multivariate data, in addition to the multivariate analysis of variance (MANOVA). The aim of this work was to select groups of seven characteristics of quality in coffee seedlings using six criteria for selection, to use the FDF to transform such groupings of characteristics into a new variable, and then to compare interpretation of the results obtained from the univariate and multivariate analyses of variance of the characteristics and this new variable, with a view to its use in evaluating coffee seedlings. A randomised block design was used to assess the effect of organic fertiliser on the formation of seedlings in coffee cv. Catuaí Vermelho IAC-44, evaluating the following characteristics: seedling height, diameter, root length, dry weight of shoots and roots, leaf area, number of leaves and total dry weight. According to the selection criteria used, different subsets of the selected characteristics are possible. The use of the FDF is shown to be viable in discriminating between treatments. Univariate analysis of the new variable obtained with the FDF and multivariate analysis (MANOVA) was able to detect differences between the treatments, however, it is simpler to apply FDF methodology.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902016000200299	
Editor: 	Universidade Federal do Ceará	
Relação: 	10.5935/1806-6690.20160035	
Formato: 	text/html	
Fonte: 	Revista Ciência Agronômica  v.47 n.2 2016	
Fonte: 	info:eu-repo/semantics/openAccess