Genome-wide association study of rice (Oryza sativa L.) leaf traits with a high-throughput leaf scorer.
Ontology highlight
ABSTRACT: Leaves are the plant's solar panel and food factory, and leaf traits are always key issues to investigate in plant research. Traditional methods for leaf trait measurement are time-consuming. In this work, an engineering prototype has been established for high-throughput leaf scoring (HLS) of a large number of Oryza sativa accessions. The mean absolute per cent of errors in traditional measurements versus HLS were below 5% for leaf number, area, shape, and colour. Moreover, HLS can measure up to 30 leaves per minute. To demonstrate the usefulness of HLS in dissecting the genetic bases of leaf traits, a genome-wide association study (GWAS) was performed for 29 leaf traits related to leaf size, shape, and colour at three growth stages using HLS on a panel of 533 rice accessions. Nine associa
SUBMITTER: Yang W
PROVIDER: S-EPMC4585412 | biostudies-literature | 2015 Sep
REPOSITORIES: biostudies-literature
ACCESS DATA