Potential of marker selection to increase prediction accuracy of genomic selection in soybean (Glycine max L.).

Genomic selection is a promising molecular breeding strategy enhancing genetic gain per unit time. The objectives of our study were to (1) explore the prediction accuracy of genomic selection for plant height and yield per plant in soybean [Glycine max (L.) Merr.], (2) discuss the relationship between prediction accuracy and numbers of markers, and (3) evaluate the effect of marker preselection based on different methods on the prediction accuracy. Our study is based on a population of 235 soybean varieties which were evaluated for plant height and yield per plant at multiple locations and genotyped by 5361 single nucleotide polymorphism markers. We applied ridge regression best linear unbiased prediction coupled with fivefold cross-validations and evaluated three strategies of marker preselection. For plant height, marker density and marker preselection procedure impacted prediction accuracy only marginally. In contrast, for grain yield, prediction accuracy based on markers selected with a haplotype block analyses-based approach increased by approximately 4 % compared with random or equidistant marker sampling. Thus, applying marker preselection based on haplotype blocks is an interesting option for a cost-efficient implementation of genomic selection for grain yield in soybean breeding.

[Genetic diversity and recombination of soybean cultivar Suinong 14 and its pedigree].

In this study, 14 agronomic traits and 139 SSR loci, distributed on 20 linkage groups of soybean (Glycine max L.) cultivar Suinong 14 and its pedigree were analyzed to explain the genetic diversity and recombination of Suinong 14 and to provide useful information for breeding. The cluster analysis based on SSR makers agreed with the pedigree information. The Shannon-Weaver index of each SSR locus ranged from 0 to 1.677. The average genetic similarity coefficient among cultivars was 0.6380, ranged from 0.538 to 0.799. At least three SSR loci were needed to discriminate Suinong 14 from its pedigree, for example a combination of Satt543, Sat_130 and Satt218. These loci have more alleles. No significant difference was observed between the end portion and the mid-portion within a linkage group, which indicates that the distribution of recombination occurred randomly in each linkage group. No polymorphism was detected within 39 of 139 SSR loci between Suinong 14 and its 8 parents. It implys their importance during cultivar improvement. Satt168, a marker on LGB2, was the only locus transmitted from Zihua 4 to Suinong 14, which indicates that the genetic constitute of Suinong 14 is greatly changed compared with Zihua 4 through five generations of recombination.