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Study of Mining Excellent Genes in Glycine soja by F1 Family Association Population(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2018年01期
Page:
50-57
Research Field:
Publishing date:

Info

Title:
Study of Mining Excellent Genes in Glycine soja by F1 Family Association Population
Author(s):
CHANG Wei;  WANG Juan;  YU Yang;  CHEN Ji-bao
(College of Agricultural Engineering, Nanyang Normal University, Nanyang 473061, China)
Keywords:
Glycine soja;  Excellent genes;  F1 family association population;  GWAS
PACS:
565.1
DOI:
10.11861/j.issn.1000-9841.2018.01.0050
Abstract:
In this study, we evaluated the detection effect of F1 family association population based on soybean HapMap data, and made a case study of soybean pod borer resistance. The value of genotype and phenotype of both inbred line population and F1 family association population were simulated under 4 different conditions, including genetic models(complete dominance and incomplete dominance), the number of genes, population size and heritability. Based on the simulation results, the detection effect of the two populations in GWAS was compared. As a result, the average numbers of detected genes by F1 family association population in 4 different genetic models were 3.82, 3.82, 3.80 and 3.78, respectively, which were significantly higher than those of inbred line population(2.08, 2.09, 2.08 and 1.87). The result under different conditions also showed that the detection effect of both population were increased with the increasing of population size and heritability, reduced with the increasing of genes number, and the detection effect of F1 population is higher than that of inbred population under the same conditions. Constructing the F1 family association population by Top Cross could effectively reduce the interference of unfavorable allele, thereby make the F1 population a better choice for genome-wide association study when mining the excellent alleles in Glycine soja.

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Last Update: 2018-03-13