Data/hora: 31/05/2024 17:23:56

Biblioteca(s): 	Embrapa Soja.	
Data corrente: 	28/10/2014	
Data da última atualização: 	07/04/2022	
Autoria: 	SANTANA, F. A.; SILVA, M. F. da; GUIMARÃES, J. K. F.; FERREIRA, M. F. da S.; PEREIRA, W. D.; PIOVESAN, N. D.; BARROS, E. G. de.	
Afiliação: 	FERNANDA ABREU SANTANA, UENF; MARTHA FREIRE DA SILVA, UFV; JULIERME KELLEN FREITAS GUIMARÃES, UFV; MARCIA FLORES DA SILVA FERREIRA, UFES; WALDIR PEREIRA DIAS, CNPSO; NEWTON DENIZ PIOVESAN, UFV; EVERALDO GONÇALVES DE BARROS, UCB.	
Título: 	Marker-assisted selection strategies for developing resistant soybean plants to cyst nematode.	
Ano de publicação: 	2014	
Fonte/Imprenta: 	Crop Breeding and Applied Biotechnology, Londrina, v. 14, n. 3, p. 180-186, 2014.	
ISSN: 	1984-7033	
DOI: 	http://dx.doi.org/10.1590/1984-70332014 v14n3a27	
Idioma: 	Inglês	
Conteúdo: 	Resistant lines can be identified by marker-assisted selection (MAS), based on alleles of genetic markers linked to the resistance trait. This reduces the number of phenotypically evaluated lines, one of the limitations in the development of cultivars with resistance to soybean cyst nematode (SCN). This study evaluated the efficiency of microsatellites near quantitative trait loci (QTL) for SCN resistance, in the linkage groups (LG) G and A2 of soybean, for the selection of resistant genotypes in populations originated from crosses between the cultivars Vmax and CD201. The QTL of LG A2 was not detected in ?Vmax? (derived from PI 88788). In MAS, the microsatellites of LG G were efficient in selecting F6:7 families with resistance and moderate resistance to SCN race 3. The selection efficiency of the microsatellites Sat_168, Satt309 and Sat_141 was greater than 93%.	
Thesagro: 	Soja.	
Thesaurus Nal: 	Soybeans.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/110685/1/Marker-assisted-selection-strategies-for-developing-resistant-soybean-plants-to-cyst-nematode.pdf	
Registro original: 	Embrapa Soja (CNPSO)	
Exemplares: 	CNPSO - (35500-1) - UPC - AP - DD -  -  -  - DIS