Twenty-five primer pairs developed from genomic simple sequence repeats (SSR) were compared with 25 expressed sequence tags (EST) SSRs to evaluate the efficiency of these two sets of primers using 59 sugarcane genetic stocks. The mean polymorphism information content (PIC) of genomic SSR was higher (0.72) compared to the PIC value recorded by EST-SSR marker (0.62). The relatively low level of polymorphism in EST-SSR markers may be due to the location of these markers in more conserved and expressed sequences compared to genomic sequences which are spread throughout the genome. Dendrogram based on the genomic SSR and EST-SSR marker data showed differences in grouping of genotypes. A total of 59 sugarcane accessions were grouped into 6 and 4 clusters using genomic SSR and EST-SSR, respectively. The highly efficient genomic SSR could subcluster the genotypes of some of the clusters formed by EST-SSR markers. The difference in dendrogram observed was probably due to the variation in number of markers produced by genomic SSR and EST-SSR and different portion of genome amplified by both the markers. The combined dendrogram (genomic SSR and EST-SSR) more clearly showed the genetic relationship among the sugarcane genotypes by forming four clusters. The mean genetic similarity (GS) value obtained using EST-SSR among 59 sugarcane accessions was 0.70, whereas the mean GS obtained using genomic SSR was 0.63. Although relatively lower level of polymorphism was displayed by the EST-SSR markers, genetic diversity shown by the EST-SSR was found to be promising as they were functional marker. High level of PIC and low genetic similarity values of genomic SSR may be more useful in DNA fingerprinting, selection of true hybrids, identification of variety specific markers and genetic diversity analysis. Identification of diverse parents based on cluster analysis can be effectively done with EST-SSR as the genetic similarity estimates are based on functional attributes related to morphological/agronomical traits.

Cooking quality in rice grains is a complex trait which requires improvement. Earlier reports show varying genetic inXuence on these traits, except for a common agreement on waxy (Wx) and alkali degeneration (Alk) loci on chromosome 6. The present study involved 86 doubled haploid lines derived from an indica £ japonica cross involving IR64 and Azucena. Grain parameters viz., raw grain length (RGL), raw grain breadth (RGB), cooked grain length (CGL), cooked grain breadth (CGB), gelatinization temperature (GT), grain shape (RGS), length elongation ratio (LER) and breadth expansion ratio (BER) were subjected to mixed model mapping of quantitative trait loci (QTL). Segregation data of 175 markers covering a distance of 2395.5 cM spanning the entire genome were used. Fifteen main eVect QTLs were detected spread over the genome, except on chromosomes 4, 8 and 11. Thirty epistatic interactions signiWcantly inXuencing the traits were detected. Twelve of the main eVect QTLs were involved in epistatic interactions. One main eVect QTL associated with LER was detected near Alk locus. QTLs located for grain length on chromosomes 9 and 10 are reported for the Wrst time. Detection of many epistatic loci and involvement of main eVect QTLs in interactions demand for judicious selection of QTLs in markerassisted selection programmes.

In the present study a population consisting of 247 F 2 individuals from the cross between Basmati 370, a superior quality basmati variety and ASD16, a non-basmati high-yielding variety was analyzed for their segregation pattern of grain length (GL), grain breadth (GB), cooked grain length (CGL), cooked grain breadth (CGB), and gelatinization temperature (GT). Except GT, all other traits showed normal distribution indicating the polygenic control over the traits. The correlation analysis between traits indicated that GT had positive significant association with GL (0.125), and CGL (0.243). To identify main effect QTL (MQTL) for the above grain quality traits, both the parents were surveyed with 86 primer pairs of simple sequence repeats (SSR). The parental survey revealed 63.95% polymorphism between parents. In order to detect the MQTL associated with grain quality traits, a strategy of combining the DNA pooling from selected segregants and genotyping was adopted. The number of individuals forming the bulk influenced the identification of putative marker(s) for each of the traits. The association of putative markers identified based on DNA pooling from selected segregants was established by Single Marker Analysis (SMA). The results of SMA revealed that SSR markers, RM225 on chromosome #6 and RM247 on chromosome #12 showed significant association with GB and CGB respectively. It is established that molecular marker analysis involving DNA pooling of phenotypic extremes and selective genotyping helps to detect MQTL for complex traits involving early segregating generations. The molecular marker analysis involving the DNA pooling of phenotypic extremes could be a useful strategy to detect the genetic loci with major effects of other complex grain quality traits in rice.

No abstract