Título:	Index selection for multiple traits in upland rice progenies.
Autoria:	SMIDERLE, E. C. FURTINI, I. V. SILVA, C. S. C. da BOTELHO, F. B. S. RESENDE, M. P. M. BOTELHO, R. T. C. COLOMBARI FILHO, J. M. CASTRO, A. P. de UTUMI, M. M.
Afiliação:	EDER C. SMIDERLE, UNIVERSIDADE FEDERAL DE MATO GROSSO, Sinop-MT; ISABELA VOLPI FURTINI, CNPAF; CAMILA S. C. DA SILVA, UFLA; FLAVIA B. S. BOTELHO, UFLA; MARCELA P. M. RESENDE, UFG; RODRIGO T. C. BOTELHO, UFLA; JOSE MANOEL COLOMBARI FILHO, CNPAF; ADRIANO PEREIRA DE CASTRO, CNPAF; MARLEY MARICO UTUMI, CPAF-RO.
Ano de publicação:	2019
Referência:	Revista de Ciências Agrárias, 42, n. 1, p. 4-12, 2019.
Conteúdo:	The success of any breeding program depends on the ability of the breeder to select genetically superior progenies for multiple traits simultaneously, and an alternative is the use of selection indexes. In this study, the selection indexes of Smith-Hazel, Base Index, Sum of Ranks, and Index Z were used to select superior upland rice progenies for four important agronomic traits. Five commercial cultivars and 191 progenies F2:4 of upland rice were evaluated for days for flowering, plant height, blast resistance, and grain yield in four environments. The genetic correlation between pairs of traits, the response of selection in each trait and the correlated response considering the selection for number of days to flowering and the response in grain yield were obtained, using an intensity of selectionof 20%. The predicted response to selection of each trait was expressive, but the indirect selection response was not effective. The most efficient selection was obtained by Z Index, which showed the highest response considering all traits simultaneously and was also easy to implement and to interpret graphically interpretation. Therefore, the Z Index can greatly increase the efficiency of selection for multiple traits in upland rice breeding programs.
Thesagro:	Arroz Oryza Sativa Melhoramento Genético Vegetal Índice de Seleção
NAL Thesaurus:	Rice Plant breeding Quantitative genetics Selection index
ISSN:	0871-018X
Digital Object Identifier:	10.19084/RCA18059
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPAF)