QTL mapping and candidate gene mining of seed size and seed weight in castor plant (Ricinus communis L.).

ABSTRACT:

Background

Castor (Ricinus communis L., 2n = 2x = 20) is an important industrial crop, due to its oil is very important to the global special chemical industry. Seed size and seed weight are fundamentally important in determining castor yield, while little is known about it. In this study, QTL analysis and candidate gene mining of castor seed size and seed weight were conducted with composite interval mapping (CIM), inclusive composite interval mapping (ICIM) and marker enrichment strategy in 4 populations, i.e., populations F₂, BC₁, S₁-1 and S₁-2, derived from 2 accessions with significant phenotypic differences.

Results

In the QTL primary mapping, 2 novel QTL clusters were detected in marker intervals RCM520-RCM76 and RCM915-RCM9

SUBMITTER: Huang G 

PROVIDER: S-EPMC11438104 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature