Data/hora: 24/09/2024 05:23:54

Biblioteca(s): 	Embrapa Milho e Sorgo.	
Data corrente: 	14/12/2017	
Data da última atualização: 	14/12/2017	
Autoria: 	SILVA, V. B.; DAHER, R. F.; ARAÚJO, M. S. B.; SOUZA, Y. P.; CASSARO, S.; MENEZES, B. R. S.; GRAVINA, L. M.; NOVO, A. A. C.; TARDIN, F. D.; AMARAL JÚNIOR, A. T.	
Afiliação: 	Universidade Estadual do Norte Fluminense Darcy Ribeiro; Universidade Estadual do Norte Fluminense Darcy Ribeiro; Universidade Estadual do Norte Fluminense Darcy Ribeiro; Universidade Estadual do Norte Fluminense Darcy Ribeiro; Universidade Estadual do Norte Fluminense Darcy Ribeiro; Universidade Federal Rural do Rio de Janeiro; Universidade Estadual do Norte Fluminense Darcy Ribeiro; Universidade Estadual do Norte Fluminense Darcy Ribeiro; FLAVIO DESSAUNE TARDIN, CNPMS; Universidade Estadual do Norte Fluminense Darcy Ribeiro.	
Título: 	Prediction of genetic gains by selection indices using mixed models in elephant grass for energy purposes.	
Ano de publicação: 	2017	
Fonte/Imprenta: 	Genetics and Molecular Research, Ribeirão Preto, v. 16, n. 3, p. 1-8, 2017.	
DOI: 	10.4238/gmr16039781	
Idioma: 	Inglês	
Conteúdo: 	Genetically improved cultivars of elephant grass need to be adapted to different ecosystems with a faster growth speed and lower seasonality of biomass production over the year. This study aimed to use selection indices using mixed models (REML/BLUP) for selecting families and progenies within full-sib families of elephant grass (Pennisetum purpureum) for biomass production. One hundred and twenty full-sib progenies were assessed from 2014 to 2015 in a randomized block design with three replications. During this period, the traits dry matter production, the number of tillers, plant height, stem diameter, and neutral detergent fiber were assessed. Families 3 and 1were the best classified, being the most indicated for selection effect. Progenies 40, 45, 46, and 49 got the first positions in the three indices assessed in the first cut. The gain for individual 40 was 161.76% using Mulamba and Mock index. The use of selection indices using mixed models is advantageous in elephant grass since they provide high gains with the selection, which are distributed among all the assessed traits in the most appropriate situation to breeding programs.	
Palavras-Chave: 	Matriz de energia; Modelo misto.	
Thesagro: 	Capim elefante; Energia; Índice de Seleção.	
Categoria do assunto: 	G Melhoramento Genético	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/169052/1/Prediction-genetic.pdf	
Registro original: 	Embrapa Milho e Sorgo (CNPMS)	
Exemplares: 	CNPMS - (28075-1) - UPC - AP - DD -  -  -  - DIS