Data/hora: 16/06/2024 01:10:27

Provedor de dados: 	64	
País: 	Brazil	
Título: 	Allometric models for estimating Moringa oleifera leaflets area	
Autores: 	Macário,Ana Paula Silva; Ferraz,Rener Luciano de Souza; Costa,Patrícia da Silva; Brito Neto,José Félix de; Melo,Alberto Soares de; Dantas Neto,José.	
Data: 	2020-01-01	
Ano: 	2020	
Palavras-chave: 	Linear measurements; Empirical modeling; Model validation.	
Resumo: 	ABSTRACT Moringa oleifera is a species of great economic, social and environmental importance, being employed for multiple purposes. Thus, the objective of this study was to fit regression models for estimating leaflets area as non-destructive method from linear measurements of leaflets of M. oleifera seedlings. The study was carried out at the Center for Agrarian and Environmental Sciences of the Paraíba State University. Three hundred leaflets of M. oleifera were collected and measured to determine length “L” and width “W” and, subsequently, leaflets area was quantified through ImageJ® software. Using 200 leaflets, the univariate regression models were fitted, adopting length, width or the product of these dimensions “LW” and a bivariate model based on length and width as predictor variables of the observed leaflets area as dependent variable. The remaining 100 leaflets were used to evaluate the relationship between the observed leaflet area “OLA” and the estimated leaflets area “ELA”, based on Pearson’s correlation “r”; Willmott’s index of agreement “d” and index of confidence “c”; and root mean square error “RMSE”. It was found that allometric models can be used with high accuracy and performance to estimate the leaflets area of M. oleifera as non-destructive method, and recommended model is ELA = 0.035 + 0.720*LW. Future research is suggested for fittings of multivariate models to estimate the leaf area of M. oleifera from varying leaflet sizes, complete leaves, leaf fresh and dry weights, history of life and age of plants.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100212	
Editor: 	Editora da Universidade Federal de Lavras	
Relação: 	10.1590/1413-7054202044005220	
Formato: 	text/html	
Fonte: 	Ciência e Agrotecnologia  v.44 2020	
Fonte: 	info:eu-repo/semantics/openAccess