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- Title
Identification of Quantitative Trait Loci in Rice for Yield, Yield Components, and Agronomic Traits across Years and Locations.
- Authors
Yong-Gu Cho; Hyeon-Jung Kang; Jeom-Sig Lee; Young-Tae Lee; Sang-Jong Lim; Hugh Gauch; Moo-Young Eun; McCouch, Susan R.
- Abstract
A population of 164 recombinant inbred lines (RILs) of rice (Oryza sativa L.) derived from a cross between Milyang23 and Gihobyeo was evaluated for nine phenotypic characters over three years and two regions in Korea. The population had been previously mapped using 414 molecular markers. Genotype x environment (G x E) interaction was analyzed for six grain yield-related traits and three agronomic traits across years and locations using the AMMI model. The quantitative trait loci (QTLs) were detected by interval mapping and composite interval mapping. A total of 75 QTLs were identified for the nine traits across five environments and they were categorized as (i) 29 QTLs with main effect, (ii) 18 QTLs with minor effect, (iii) 13 QTLs with G x E interaction effect, (iv) six QTLs with both main effect and G x E interaction effect, and (v) nine potential QTLs with low log of the odds (LOD) scores. The AMMI model explained from 68.6% to 84.7% of the interaction effect and 19 QTLs were significantly associated with G x E interaction. Culm length had the least G x E, while the maximum G x E interaction was exhibited for spikelets per panicle (39.7%) and percent ripened grain (35.3%). Markers closely linked to main effect QTLs will be most useful for marker-assisted breeding.
- Subjects
BIOMASS energy; ENERGY conversion; ENERGY crops; POWER resources; AGRICULTURE; GENETIC polymorphisms; POPULATION genetics; AGRICULTURAL industries; YEAST; RICE
- Publication
Crop Science, 2007, Vol 47, Issue 6, p2403
- ISSN
0011-183X
- Publication type
Article
- DOI
10.2135/cropsci2006.08.0509