Autor: Edward Buckler

Unimputed GbS derived SNPs for maize landrace accessions represented in the SeeD-maize GWAS panel

Sarah Hearne Edward Buckler (2014)

Obtain unimputed SNP profiles from genotyping-by-sequencing of the accession parents of the SeeD GWAS testcross panel.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Imputed GbS-derived SNPs for Maize Landrace Accessions Represented in the SeeD-Maize GWAS Panel Recalled Using the B73 v.4 Reference Genome

Sarah Hearne Charles Chen Edward Buckler Sharon Mitchell Jose Arcadio Valdes Franco (2023)

This study presents the imputed SNP profiles from genotyping-by-sequencing of the accession parents of the SeeD GWAS testcross panel. The positions in the VCF files have been mapped against version 4 of the maize genome. The imputation was performed using the Beagle software.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Significant SNPs from SeeD GWAS Analysis of Flowering Time

Jorge Alberto Romero Navarro Martha Willcox Juan Burgueño Cinta Romay Kelly Swarts Samuel Trachsel Iván Ortíz-Monasterios Felix San Vicente Garcia Gary Atlin Peter Wenzl Sarah Hearne Edward Buckler (2017)

The files included in this study provide significant SNPs from the gene-level analysis for days to anthesis, days to silking, altitude, and latitude within the SeeD GWAS panel. Markers shown are only those found outside high LD regions as defined in the paper: A study of allelic diversity underlying flowering-time adaptation in maize landraces. Nature Genetics. 2017: 49, 476–480. doi:10.1038/ng.3784, and included in the file: HighLD ranges.txt.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Significant SNPs from SeeD GWAS Analysis of Flowering Time

Jorge Alberto Romero Navarro Martha Willcox Juan Burgueño Cinta Romay Kelly Swarts Samuel Trachsel Iván Ortíz-Monasterios Felix San Vicente Garcia Gary Atlin Peter Wenzl Sarah Hearne Edward Buckler (2017)

The files included in this study provide significant SNPs from the gene-level analysis for days to anthesis, days to silking, altitude, and latitude within the SeeD GWAS panel. Markers shown are only those found outside high LD regions as defined in the paper: A study of allelic diversity underlying flowering-time adaptation in maize landraces. Nature Genetics. 2017: 49, 476–480. doi:10.1038/ng.3784, and included in the file: HighLD ranges.txt.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA