Validation of microsatellite markers for assisted selection of soybean genotypes resistant to powdery mildew


Autoria(s): Demore, Paula dos Santos; Uneda-Trevisoli, Sandra Helena; Di Mauro, Antonio Orlando; Silva Morceli, Thaiza Galhardo; Silva Muniz, Franco Romero; Costa, Marcelo Marchi; Penha Sarti, Daniela Garcia; Mancini, Melina Cristina
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

01/03/2009

Resumo

Powdery mildew is one of the most serious diseases of soybean and is found in all producing countries. The purpose of this study was to validate microsatellite markers previously identified as associated with resistance to powdery mildew in soybean. The study was conducted in two F, parent populations with contrasting resistance to powdery mildew, In the analysis 10 SSR primers were used for the populations. and tour polymorphic markers were identified for cross I (MGBR95-20937 x IAC-Foscarin 31) and three for cross 2 (MGBR-46 x Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) 48). The Chi-square analysis of the phenotypic evaluation confirmed the expected segregation (3: 1) of a dominant gene related to resistance. The polymorphic markers also segregated as expected (1:2:1). The markers Sat 366 and Sat 393 in the crosses 1 and 2. respectively, located at 9.41 and 12.45 cM from the gene. were considered promising for marker-assisted selection for resistance to powdery mildew in soybean. at a selection efficiency of 92.7% and 60.3% respectively.

Formato

45-51

Identificador

http://www.sbmp.org.br/cbab/siscbab/modules/news/article.php?storyid=587

Crop Breeding and Applied Biotechnology. Vicosa-mg: Brazilian Soc Plant Breeding, v. 9, n. 1, p. 45-51, 2009.

1518-7853

http://hdl.handle.net/11449/3400

WOS:000267632200007

WOS000267632200007.pdf

Idioma(s)

eng

Publicador

Brazilian Soc Plant Breeding

Relação

Crop Breeding and Applied Biotechnology

Direitos

openAccess

Palavras-Chave #Glycine max #Erysiphe diffusa #Marker assisted selection #Bulked segregant analysis
Tipo

info:eu-repo/semantics/article