Data/hora: 11/06/2024 18:22:29

Provedor de dados: 	64	
País: 	Brazil	
Título: 	Estimate of genetic parameters and predicted gains with early selection of physic nut families	
Autores: 	Laviola,Bruno Galvêas; Alves,Alexandre Alonso; Gurgel,Fábio de Lima; Rosado,Tatiana Barbosa; Costa,Rhayanne Dias; Rocha,Rodrigo Barros.	
Data: 	2012-04-01	
Ano: 	2012	
Palavras-chave: 	Jatropha curcas L.; Reproductive; Vegetative traits; Plant breeding.	
Resumo: 	An initial evaluation of early selection of physic nut genotypes based on phenotypic data is presented. In order to predict the genetic gains with early selection, genetic parameters, e.g. additive genetic variance, were first obtained for grain yield along with other numerous traits. The results demonstrated that additive genetic variance exists not only for grain yield, which is considered to be the most important trait for oil and biodiesel production, but also for numerous other traits. The predicted genetic gains for grain yield, considering the selection of the 30, 20, 10 and 5 best families in the second crop year are respectively, 40.47, 48.43, 61.78 and 70.28%. With the selection of highly yielding physic nut genotypes indirectly genotypes with enhanced volume would be also selected, because yield exhibits moderate to high genetic correlations with height e canopy volume. The results here presented demonstrate the potential of the population gathered in the Brazilian physic nut germplasm bank for genetic breeding purposes and that superior physic nut families can be selected with high accuracy based on the evaluation of its second crop.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542012000200004	
Editor: 	Editora da Universidade Federal de Lavras	
Relação: 	10.1590/S1413-70542012000200004	
Formato: 	text/html	
Fonte: 	Ciência e Agrotecnologia  v.36 n.2 2012	
Fonte: 	info:eu-repo/semantics/openAccess