Journal
MOLECULAR BREEDING
Volume 36, Issue 8, Pages -Publisher
SPRINGER
DOI: 10.1007/s11032-016-0504-9
Keywords
Genomic selection; Prediction accuracy; Glycine max; Sampling method
Categories
Funding
- 13th Five-Year National Breeding Program for Precise Identification and Germplasm Enhancement of Economic Crops
- Plant Gemplasm Conservation of the Chinese Ministry of Agriculture [NB06-070401-(22-27)-05, NB07-2130135-(25-30)-06, NB08-2130135-(25-31)-06, NB2010-2130135-25-05]
- National Transgenic Major Program of China [2014ZX08004001]
- Agricultural Science and Technology Innovation Program (ASTIP) of Chinese Academy of Agricultural Sciences
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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.
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