QTL ANALYSIS FOR YIELD COMPONENTS IN RICE (ORYZA SATIVA L.) UNDER DIFFERENT ENVIRONMENTS

Abstract

Quantitative trait loci (QTL) for yield components were identified based on an RFLP map from a double haploid population. The 123 DH lines with their parents IR64 and Azucena were evaluated in the field in two different environments (Hangzhou and Hainan). The study revealed that individual QTLs showed a range of sensibility to environments as some QTLs were detected only in a single environment while others were detected in two environments. The relative rankings of genotypes may well differ in different environments and the relationship may be quite complex. These QTLs might be described with their sensitivity to environment. QTLs associated with total grain (tg3-1, tg3-2, tg4, tg10, tg11) and QTL affecting full grain (fg3, fg4-1, fg4-2) showing the largest effect in one environment were also more likely to be detected in another environment. Therefore identifying QTLs that are consistent across environments would be desirable in a marked selection program.

Keywords

• double haploid population
• qtl
• yield components
• environment