Data/hora: 04/06/2024 02:21:44

Provedor de dados: 	65	
País: 	Brazil	
Título: 	Analysis of the adaptability of black bean cultivars by means of quantile regression	
Autores: 	Barroso,Laís Mayara Azevedo; Nascimento,Moysés; Barili,Leiri Daiane; Nascimento,Ana Carolina Campana; Vale,Naine Martins do; Silva,Fabyano Fonseca e; Carneiro,José Eustáquio de Souza.	
Data: 	2019-01-01	
Ano: 	2019	
Palavras-chave: 	Gene-environment (GxE) interaction; Phaseolus vulgaris L; Genetic improvement; Quantiles; Regression models.	
Resumo: 	ABSTRACT:  The aim of this study was to use quantile regression (QR) to characterize the effect of the adaptability parameter throughout the distribution of the productivity variable on black bean cultivars launched by different national research institutes (research centers) over the last 50 years. For this purpose, 40 cultivars developed by Brazilian genetic improvement programs between 1959 and 2013 were used. Initially, QR models were adjusted considering three quantiles (τ = 0.2, 0.5 and 0.8). Subsequently, with the confidence intervals, quantile models τ = 0.2 and 0.8 (QR0.2 and QR0.8) showed differences regarding the parameter of adaptability and average productivity. Finally, by grouping the cultivars into one of the two groups defined from QR0.2 and QR0.8, it was reported that the younger cultivars were associated to the quantile τ = 0.8, i.e., those with higher yields and more responsive conditions indicating that genetic improvement over the last 50 years resulted in an increase in both the productivity and the adaptability of cultivars.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000300200	
Editor: 	Universidade Federal de Santa Maria	
Relação: 	10.1590/0103-8478cr20180045	
Formato: 	text/html	
Fonte: 	Ciência Rural  v.49 n.3 2019	
Fonte: 	info:eu-repo/semantics/openAccess