Data/hora: 09/06/2024 07:48:37

Provedor de dados: | 65
País: | Brazil
Título: | Path analysis for selection of feijoa with greater pulp weight
Autores: | Donazzolo,Joel; Salla,Vanessa Padilha; Sasso,Simone Aparecida Zolet; Danner,Moeses Andrigo; Citadin,Idemir; Nodari,Rubens Onofre.
Data: | 2017-01-01
Ano: | 2017
Palavras-chave: | Acca sellowiana; Multicollinearity; Ridge path analysis; Indirect selection.
Resumo: | ABSTRACT: The objective of this paper was to identify the direct and indirect effects of feijoa fruits (Acca sellowiana) traitson pulp weight, in order to use these traits in indirect genotypes selection. Fruits of five feijoa plants were collected in Rio Grande do Sul, in the years of 2009, 2010 and 2011. Six traits were evaluated: diameter, length, total weight, pulp weight, peel thickness and number of seeds per fruit. In the path analysis, with or without ridge regression, pulp weight was considered as the basic variable, and the other traits were considered as explanatory variables. Total weight and fruit diameter had high direct effect, and are the main traits associated with pulp weight. These traits may serve as criteria for indirect selection to increase feijoa pulp weight, since they are easy to be measured.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000600203
Editor: | Universidade Federal de Santa Maria
Relação: | 10.1590/0103-8478cr20161062
Formato: | text/html
Fonte: | Ciência Rural  v.47 n.6 2017
Fonte: | info:eu-repo/semantics/openAccess