Back to Search Start Over

Marker-assisted elimination of drought-susceptible accessions in upland rice breeding

Authors :
Claudio Brondani
Ricardo Diógenes Dias Silveira
Adriano Pereira de Castro
Gabriel Feresin Pantalião
Fern
a Martins Abreu
ro Gomide Neves
Rosana Pereira Vianello
Ariadna Faria Vieira
Ana Letycia Basso Garcia
ARIADNA FARIA VIEIRA, UFG
GABRIEL FERESIN PANTALIAO
FERNANDA MARTINS ABREU
RICARDO DIAS SILVEIRA
ANA LETYCIA BASSO GARCIA
LEANDRO GOMIDE
ROSANA PEREIRA VIANELLO, CNPAF
ADRIANO PEREIRA DE CASTRO, CNPAF
CLAUDIO BRONDANI, CNPAF.
Source :
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice), Empresa Brasileira de Pesquisa Agropecuária (Embrapa), instacron:EMBRAPA
Publication Year :
2018

Abstract

Breeding for water-deficit tolerance is fundamental to guarantee the sustainability of upland rice production, mainly due to the possibility of an increased frequency of drought episodes due to climate change. This work aimed to identify single nucleotide polymorphism (SNP) markers, derived from RNA sequencing (RNA-Seq), genome-wide association study (GWAS) and candidate genes from Arabidopsis, with potential for use in marker-assisted selection (MAS) for drought tolerance. RNA-Seq and GWAS were efficient in identifying useful SNP markers from the data obtained from three years of field experiments for 175 upland rice accessions, which were sequenced using 32 genes by Capture-Seq. Three genes were equally able to generate SNP markers that discriminated 95% of the 20 most drought susceptible accessions in the joint analysis of the experiments. The elimination of the genotypes with the unfavourable SNP allele reduced the initial number of accessions to one third, and transferring this result in a breeding routine, would enable to conduct smaller experiments per target location, increasing the precision and reducing the cost of the drought phenotyping. Made available in DSpace on 2018-03-10T00:34:10Z (GMT). No. of bitstreams: 1 CNPAF2018gmr.pdf: 333924 bytes, checksum: 202e7a3c0bca406bccdf93cad82d91f8 (MD5) Previous issue date: 2018-03-08

Details

Language :
English
Database :
OpenAIRE
Journal :
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice), Empresa Brasileira de Pesquisa Agropecuária (Embrapa), instacron:EMBRAPA
Accession number :
edsair.doi.dedup.....84a185c897473124c6489cbedfabdd67