Abstract
Polygenes (QTLs) for grain yield were mapped on rice chromosomes under two moisture stress environments by multiple interval mapping (MIM) method in a double haploid (DH) population derived from a cross between a deep-rooted japonica and a shallow-rooted indica genotype. In environment 1 (E1), the MIM detected a total of six QTLs for grain yield on chromosomes-two QTLs on chromosome 1 and four QTLs on chromosome 5 along with one additive x additive epistasis. But in environment 2 (E2), the MIM detected five QTLs for grain yield on two chromosomes-three QTLs on chromosome 1 and two QTLs on chromosome 7. One common QTL on chromosome 1 flanked by the markers RG109-ME1014 was detected in both the environments, although the other detected QTLs differed between environments. The magnitude of QTL effect, percent genetic variance and percent phenotypic variance explained by each QTL was also estimated in both environments. The common QTL explained about 26.05 and 13.93% of genetic variance in E1 and E2, respectively. Estimated broad sense heritability for grain yield was 48.01 in E1 and 25.27% in E2.
Highlights
Rice is the world’s largest staples food in many countries and provides the calorific needs of millions of people daily
The number of QTLs for grain yield in rice detected by multiple interval mapping method in environments environment 1 (E1) and environment 2 (E2) are presented along with the chromosome number, flanking markers and peak LOD scores (Tab. 1)
Genetic mapping of polygenes for grain yield in rice under two different moisture stress environments was performed by multiple interval mapping (MIM) method using double haploid (DH) population derived from a cross involving a deeprooted upland adapted japonica genotype and a shallow rooted lowland adapted indica genotype
Summary
Rice is the world’s largest staples food in many countries and provides the calorific needs of millions of people daily. Grain yield is a quantitative trait controlled by polygenes and largely influenced by environment. Attempts have been made to detect and locate QTLs (Quantitative trait loci) or polygenes for grain yield and other important agronomical traits in rice. This has been possible because of the availability of molecular marker-based genetic maps (Zhang, 2007). The QTLs identified for a trait through different QTL mapping methods provide information about the genetic architecture of the phenotypic trait and explain its variation. The present study was undertaken to detect QTLs for grain yield in rice under two different moisture stress environments using multiple interval mapping method
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