2015
DOI: 10.1186/s12864-015-2245-2
|View full text |Cite
|
Sign up to set email alerts
|

Genetic variation and association mapping for 12 agronomic traits in indica rice

Abstract: BackgroundIncreasing rice (Oryza sativa L.) yield is a crucial challenge for modern agriculture. The ideal plant architecture is considered to be critical to enhance rice yield. Elite plant morphological traits should include compact plant type, short stature, few unproductive tillers, thick and sturdy stems and erect leaves. To reveal the genetic variations of important morphological traits, 523 germplasm accessions were genotyped using the Illumina custom-designed array containing 5,291 single nucleotide pol… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

7
58
0
1

Year Published

2016
2016
2021
2021

Publication Types

Select...
5
4
1

Relationship

1
9

Authors

Journals

citations
Cited by 70 publications
(66 citation statements)
references
References 72 publications
7
58
0
1
Order By: Relevance
“…Population and SNP markers GWAS has been used to map complex quantitative traits in plants (Atwell et al, 2010;Crowell et al, 2016;Ingvarsson and Street, 2011;Lu et al, 2015;Zhao et al, 2011). The power of GWAS mainly depends on four factors: the richness of genetic diversity, the veracity of trait acquisition, the marker density and the statistical methods.…”
Section: Discussionmentioning
confidence: 99%
“…Population and SNP markers GWAS has been used to map complex quantitative traits in plants (Atwell et al, 2010;Crowell et al, 2016;Ingvarsson and Street, 2011;Lu et al, 2015;Zhao et al, 2011). The power of GWAS mainly depends on four factors: the richness of genetic diversity, the veracity of trait acquisition, the marker density and the statistical methods.…”
Section: Discussionmentioning
confidence: 99%
“…For GWAS analysis, estimation of underlying population structure of the panel under consideration is important which helps in avoiding spurious associations between phenotypes and genotypes (Pritchard and Rosenberg, 1999;Pritchard et al, 2000;Pritchard and Donnelly, 2001). Most of the earlier studies in rice have taken into consideration a particular population (Huang et al, 2010;Lu et al, 2015) which might have high level of structure and kinship for GWAS analysis resulting into spurious marker-trait associations. Here, this study for the first time utilized such large diversified (3004) rice germplasm, provided complete coverage of the global rice genepool.…”
Section: Discussionmentioning
confidence: 99%
“…Over the past several years, several QTLs for important traits in B. napus were identified in GWAS, providing relatively higher mapping resolution and more candidate loci than in studies based on biparental populations35. In our study, a large natural population composed of 520 B. napus accessions was phenotyped by the 60K Brassica SNP array.…”
Section: Discussionmentioning
confidence: 99%