Author: Martha Willcox

Phenotypic data for "Single-gene resolution of locally adaptive genetic variation in Mexican maize.

Martha Willcox Juan Burgueño Sarah Hearne (2020)

Phenotypic data for: Daniel J Gates, Dan Runcie, Garrett M. Janzen, Alberto Romero Navarro, Martha Willcox, Kai Sonder, Samantha J. Snodgrass, Fausto Rodríguez-Zapata, Ruairidh J. H. Sawers, Rubén Rellán-Álvarez, Edward S. Buckler, Sarah Hearne, Matthew B. Hufford, Jeffrey Ross-Ibarra. Single-gene resolution of locally adaptive genetic variation in Mexican maize. doi: https://doi.org/10.1101/706739.

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