Data/hora: 09/06/2024 11:57:36

Provedor de dados: 	86	
País: 	Brazil	
Título: 	Selection indexes in the simultaneous increment of yield components in topcross hybrids of green maize	
Autores: 	Candido,Willame dos Santos; Silva,Caique Machado e; Costa,Maraiza Lima; Silva,Bruna Elaine de Almeida; Miranda,Beatriz Lima de; Pinto,Jefferson Fernando Naves; Reis,Edésio Fialho dos.	
Data: 	2020-01-01	
Ano: 	2020	
Palavras-chave: 	Zea mays; Economic weights; Mixed models; REML/BLUP.	
Resumo: 	Abstract: The objective of this work was to define the most suitable selective strategy for the simultaneous increment of yield components of green maize, by comparing three selection indexes weighted by economic weights and by the REML/BLUP method, in the assessment of predicted genetic gains for traits of interest. An experiment with 75 topcross hybrids from partially inbred S1 lines of green maize was carried out in Jataí, in the state of Goiás, Brazil, using a randomized complete block design, with four replicates. The following yield traits were evaluated: straw ears and commercial ears, grain mass, ear length, ear diameter, and number of ear rows. The selection indexes of Smith and Hazel, Williams, and Mulamba &amp; Mock were applied and weighted for four economic weights (1, CVg, CVg/CVe, and h2). Among the tested selection indexes, those of Williams and Mulamba &amp; Mock are the best-fit ones for the selection of topcross hybrids of green maize, as they provide positive and more balanced selection gains for all evaluated traits. The REML/BLUP method shows better predicted genetic gains than those achieved by the three selection indexes, besides being efficient for the selection of topcross hybrids of green maize.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000102900	
Editor: 	Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira	
Relação: 	10.1590/s1678-3921.pab2020.v55.01206	
Formato: 	text/html	
Fonte: 	Pesquisa Agropecuária Brasileira  v.55 2020	
Fonte: 	info:eu-repo/semantics/openAccess