Genetic Dissection of End-Use Quality Traitsin Adapted Soft White Winter Wheat

被引:38
|
作者
Jernigan, Kendra L. [1 ]
Godoy, Jayfred V. [1 ]
Huang, Meng [1 ]
Zhou, Yao [1 ]
Morris, Craig F. [2 ,3 ]
Garland-Campbell, Kimberly A. [3 ]
Zhang, Zhiwu [1 ]
Carter, Arron H. [1 ]
机构
[1] Washington State Univ, Dept Crop & Soil Sci, Pullman, WA 99164 USA
[2] ARS, Western Wheat Qual Lab, USDA, Pullman, WA USA
[3] ARS, Wheat Hlth Genet & Qual Res Unit, USDA, Pullman, WA USA
来源
FRONTIERS IN PLANT SCIENCE | 2018年 / 9卷
基金
美国食品与农业研究所;
关键词
association mapping; soft white wheat; end-use quality; Pacific Northwest; linkage disequilibrium; plant breeding; TRITICUM-AESTIVUM L; GLUTENIN SUBUNIT COMPOSITION; GENOME-WIDE ASSOCIATION; BREAD-MAKING QUALITY; F-SP TRITICI; MOLECULAR-GENETICS; STORAGE PROTEINS; BAKING QUALITY; GRAIN QUALITY; DNA MARKERS;
D O I
10.3389/fpls.2018.00271
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Soft white wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 soft white winter wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders tomore effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.
引用
收藏
页数:15
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