Título:	Efficiency of indirect selection for green biomass production of Urochloa ruziziensis.
Autoria:	DIAS, J. A. ROSADO, L. R. BENITES, F. R. G. SOUZA SOBRINHO, F. de NUNES, J. A. R. GONÇALVES, F. M. A.
Afiliação:	JULIANA ANDRADE DIAS, Universidade Federal de Lavras; LUCAS RODRIGUES ROSADO, Universidade Federal de Lavras; FLAVIO RODRIGO GANDOLFI BENITES, CNPGL; FAUSTO DE SOUZA SOBRINHO, CNPGL; JOSE AIRTON RODRIGUES NUNES, Universidade Federal de Lavras; FLAVIA MARIA AVELAR GONÇALVES, Universidade Federal de Lavras.
Ano de publicação:	2022
Referência:	Crop Breeding and Applied Biotechnology, v. 22, n. 2, e417822212, 2022.
Conteúdo:	We aimed to measure the efficiency of visual selection of plant vigor for green biomass production of U. ruziziensis using single- and multitrait approaches to maximize the predictive accuracy of the genetic value. The green biomass production and plant vigor of 254 U. ruziziensis clones were measured over nine evaluation cuttings to determine the efficiency of these approaches for production improvement. Individual and multicutting analyses were performed under single-trait and multitrait approaches using mixed models. The efficiency of visual selection was assessed by measuring plant vigor based on direct and indirect genetic gains. Plant vigor showed a high genetic association with green biomass and could be selected for production, especially in the initial phases of breeding programs. The multitrait approach was superior to the single-trait approach in predicting the genetic value of the clones, and it can be used in U. ruziziensis breeding programs.
Thesagro:	Brachiaria Ruziziensis Gramínea Forrageira Capim Brachiaria
Palavras-chave:	Seleção visual Modelo misto Precisão
Digital Object Identifier:	https://doi.org/10.1590/1984-70332022v22n2a22
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPGL)