Identification of Quantitative Trait Loci in Rice for Yield, Yield Components, and Agronomic Traits across Years and Locations

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...

Full description

Saved in:
Bibliographic Details
Published in:Crop science 2007-11, Vol.47 (6), p.2403-2417
Main Authors: Cho, Y.G, Kang, H.J, Lee, J.S, Lee, Y.T, Lim, S.J, Gauch, H, Eun, M.Y, McCouch, S.R
Format: Article
Language:English
Subjects:
agronomic traits
Agronomy. Soil science and plant productions
Biological and medical sciences
Crop yield
environmental factors
Fundamental and applied biological sciences. Psychology
Gene mapping
genetic markers
Genetics
Genetics and breeding of economic plants
Genomics
Genotype & phenotype
genotype-environment interaction
grain yield
height
inflorescences
length
linkage (genetics)
Oryza sativa
phenotype
quantitative trait loci
Rice
stems
Studies
yield components
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0011-183X
1435-0653
DOI:10.2135/cropsci2006.08.0509