期刊论文详细信息
G3: Genes, Genomes, Genetics
Genomic Prediction and Association Mapping of Curd-Related Traits in Gene Bank Accessions of Cauliflower
Eltohamy A. A. Yousef^21  Patrick Thorwarth^12 
[1] Department of Horticulture, Faculty of Agriculture, University of Suez Canal, Ismailia 41522, Egypt^2;Institute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599 Stuttgart, Germany^1
关键词: cauliflower;    gene bank;    genome-wide association study;    genomic prediction;    genotyping-by-sequencing;    GenPred;    Shared Data Resources;    Genomic Selection;   
DOI  :  10.1534/g3.117.300199
学科分类:生物科学(综合)
来源: Genetics Society of America
PDF
【 摘 要 】

Genetic resources are an important source of genetic variation for plant breeding. Genome-wide association studies (GWAS) and genomic prediction greatly facilitate the analysis and utilization of useful genetic diversity for improving complex phenotypic traits in crop plants. We explored the potential of GWAS and genomic prediction for improving curd-related traits in cauliflower ( Brassica oleracea var. botrytis ) by combining 174 randomly selected cauliflower gene bank accessions from two different gene banks. The collection was genotyped with genotyping-by-sequencing (GBS) and phenotyped for six curd-related traits at two locations and three growing seasons. A GWAS analysis based on 120,693 single-nucleotide polymorphisms identified a total of 24 significant associations for curd-related traits. The potential for genomic prediction was assessed with a genomic best linear unbiased prediction model and BayesB. Prediction abilities ranged from 0.10 to 0.66 for different traits and did not differ between prediction methods. Imputation of missing genotypes only slightly improved prediction ability. Our results demonstrate that GWAS and genomic prediction in combination with GBS and phenotyping of highly heritable traits can be used to identify useful quantitative trait loci and genotypes among genetically diverse gene bank material for subsequent utilization as genetic resources in cauliflower breeding.

【 授权许可】

CC BY   

【 预 览 】
附件列表
Files Size Format View
RO201910288363541ZK.pdf 1222KB PDF download
  文献评价指标  
  下载次数:18次 浏览次数:12次