Mapping quantitative trait loci for disease resistance to false smut of rice

  • Han Y
  • Li D
  • Yang J
  • et al.
N/ACitations
Citations of this article
15Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

False smut of rice, an important emerging disease caused by Ustilaginoidea virens , greatly reduces grain yield and deteriorates grain quality in many rice-growing regions worldwide. Identification of quantitative trait loci (QTL) conferring false smut resistance will facilitate incorporation of false smut resistance into elite cultivars. In this study, a set of recombinant inbred lines (RILs) derived from a cross of a resistant rice landrace MR183–2 and a high susceptible line 08R2394 were evaluated to map resistance QTLs for false smut. A total of 179 simple sequence repeat (SSR) polymorphic markers were identified for constructing genetic linkage maps. Using a composite interval mapping method, five false smut resistance QTLs were detected on chromosomes 2, 4, 8 and 11 in the RIL population. Among these QTLs, qFsr8–1 within a small region on chromosome 8 represents a major quantitative locus explaining the greatest phenotypic variance. Gene annotation in this major QTL region provides a theoretical basis for cloning of resistance QTLs. The SSR markers genetically linked to qFsr8–1 are valuable for marker-assisted breeding for false smut resistance in rice. In addition, nine QTLs for heading date were detected in this population. Correlation analysis of disease resistance score and heading date indicates that false smut resistance negatively correlates with the growth period length in rice.

Cite

CITATION STYLE

APA

Han, Y., Li, D., Yang, J., Huang, F., Sheng, H., & Sun, W. (2020). Mapping quantitative trait loci for disease resistance to false smut of rice. Phytopathology Research, 2(1). https://doi.org/10.1186/s42483-020-00059-6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free