Genome‐wide association analysis of freezing tolerance in soft red winter wheat

Crop Science ◽  
2021 ◽  
Author(s):  
Juan Diego Rojas‐Gutierrez ◽  
Gwonjin Lee ◽  
Brian J Sanderson ◽  
M. Inam Jameel ◽  
Christopher G. Oakley
Keyword(s):  
Winter Wheat ◽  
Association Analysis ◽  
Freezing Tolerance ◽  
Genome Wide Association ◽  
Genome Wide Association Analysis ◽  
Soft Red Winter Wheat ◽  
Genome Wide ◽  
Red Winter Wheat

scholarly journals Genome-wide association studies for yield-related traits in soft red winter wheat grown in Virginia

2018 ◽  
Author(s):  
Brian P. Ward ◽  
Gina Brown-Guedira ◽  
Frederic L. Kolb ◽  
David A. Van Sanford ◽  
Priyanka Tyagi ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Reference Genome ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Soft Red Winter Wheat ◽  
Locus Model ◽  
Genome Wide ◽  
Red Winter Wheat

AbstractGrain yield is a trait of paramount importance in the breeding of all cereals. In wheat (Triticum aestivum L.), yield has steadily increased since the Green Revolution, though the current rate of increase is not forecasted to keep pace with demand due to growing world population and affluence. While several genome-wide association studies (GWAS) on yield and related component traits have been performed in wheat, the previous lack of a reference genome has made comparisons between studies difficult. In this study, a GWAS for yield and yield-related traits was carried out on a population of 324 soft red winter wheat lines across a total of four rain-fed environments in the state of Virginia using single-nucleotide polymorphism (SNP) marker data generated by a genotyping-by-sequencing (GBS) protocol. Two separate mixed linear models were used to identify significant marker-trait associations (MTAs). The first was a single-locus model utilizing a leave-one-chromosome-out approach to estimating kinship. The second was a sub-setting kinship multi-locus method (FarmCPU). The single-locus model identified nine significant MTAs for various yield-related traits, while the FarmCPU model identified 74 significant MTAs. The availability of the wheat reference genome allowed for the description of MTAs in terms of both genetic and physical positions, and enabled more extensive post-GWAS characterization of significant MTAs. The results indicate promising avenues for increasing grain yield by exploiting variation in traits relating to the number of grains per unit area, as well as phenological traits influencing grain-filling duration of genotypes.

scholarly journals Genome-wide association studies for yield-related traits in soft red winter wheat grown in Virginia

PLoS ONE ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. e0208217 ◽  
Author(s):  
Brian P. Ward ◽  
Gina Brown-Guedira ◽  
Frederic L. Kolb ◽  
David A. Van Sanford ◽  
Priyanka Tyagi ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Soft Red Winter Wheat ◽  
Genome Wide ◽  
Red Winter Wheat

A Caution in Association of ABO Blood Group with COVID-19

2020 ◽  
Keyword(s):  
Gene Cluster ◽  
Clinical Outcomes ◽  
Blood Group ◽  
Association Analysis ◽  
Blood Type ◽  
Genome Wide Association ◽  
Chromosome 3 ◽  
Abo Blood Group ◽  
Genome Wide Association Analysis ◽  
Genome Wide

A comment on Zhao J, Yang Y, Huang H, Li D, Gu D, Lu X, et al. Association of ABO blood group and Covid19 susceptability. medRxiv [PREPRINT]. 2020; https://doi.org/10.1101/2020.03.11.20031096. Zeng X, Fan H, Lu D, Huang F, Meng X, Li Z, et al. Association between ABO blood group and clinical outcomes of Covid19. medRxiv[PREPRINT].2020; https://doi.org/10.1101/2020.04.15.20063107. Zietz M, Tatonetti N. Testing the association between blood type and COVID-19 infection, intubation, and death medRxiv [PREPRINT]. 2020; https://doi.org/10.1101/2020.04.08.20058073. Ellinghaus D, Degenhardt F, Bujanda L, al. e. The ABO blood group and a chromosome 3 gene cluster associate with SRAS-CoV2 respitarory failure in an Italy-Spain genome-wide association analysis. medRxiv. 2020; https://doi.org/10.1101/2020.05.31.20114991.

Genome-wide Association Analysis of Kernel Row Number in Maize

2014 ◽  
Vol 40 (1) ◽  
pp. 1 ◽  
Author(s):  
Huan-Xin ZHANG ◽  
Jian-Feng WENG ◽  
Xiao-Cong ZHANG ◽  
Chang-Lin LIU ◽  
Hong-Jun YONG ◽  
...  
Keyword(s):  
Association Analysis ◽  
Genome Wide Association ◽  
Genome Wide Association Analysis ◽  
Genome Wide ◽  
Kernel Row Number
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