Data/hora: 19/05/2024 04:23:35

Provedor de dados: 	63	
País: 	Brazil	
Título: 	A comparison between Joint Regression Analysis and the Additive Main and Multiplicative Interaction model: the robustness with increasing amounts of missing data	
Autores: 	Rodrigues,Paulo Canas; Pereira,Dulce Gamito Santinhos; Mexia,João Tiago.	
Data: 	2011-12-01	
Ano: 	2011	
Palavras-chave: 	AMMI models; Genotype by environment interaction; Joint regression analysis; Missing values; Durum wheat.	
Resumo: 	This paper joins the main properties of joint regression analysis (JRA), a model based on the Finlay-Wilkinson regression to analyse multi-environment trials, and of the additive main effects and multiplicative interaction (AMMI) model. The study compares JRA and AMMI with particular focus on robustness with increasing amounts of randomly selected missing data. The application is made using a data set from a breeding program of durum wheat (Triticum turgidum L., Durum Group) conducted in Portugal. The results of the two models result in similar dominant cultivars (JRA) and winner of mega-environments (AMMI) for the same environments. However, JRA had more stable results with the increase in the incidence rates of missing values.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162011000600012	
Editor: 	São Paulo - Escola Superior de Agricultura "Luiz de Queiroz"	
Relação: 	10.1590/S0103-90162011000600012	
Formato: 	text/html	
Fonte: 	Scientia Agricola  v.68 n.6 2011	
Fonte: 	info:eu-repo/semantics/openAccess