Autor: Samuel Trachsel

Replication Data for: Estimation of Physiological Genomic Estimated Breeding Values (PGEBV) Combining full Hyperspectral and Marker Data Across Environments for Grain Yield Under Combined Heat and Drought Stress in Tropical Maize (Zea mays L.)

Samuel Trachsel Thanda Dhliwayo Mathias Trachsel (2019)

This file provides supporting material for the manuscript entitled ' Estimation of Physiological Genomic Estimated Breeding Values (PGEBV) Combining full Hyperspectral and Marker Data Across Environments for Grain Yield Under Combined Heat and Drought Stress in Tropical Maize (Zea mays L.)'. The file includes spreadsheets containing information on the experimental structure ('Experimental structure' spreadsheet), agronomic data ('Agronomic data' spreadsheet), hyperspectral data ('Hyperspectral data' spreadsheet) and molecular marker information ('markerdata' spreadsheet). A separate self explanatory summary of the information contained in the file can be found the the 'Read me first' spreadhsheet.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Evaluation of Maize Landraces for Drought Tolerance in 2015

Terence Molnar Samuel Trachsel Juan Burgueño (2018)

Maize landraces were evaluated for drought tolerance in three locations in 2015.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Evaluation of maize landraces and pre-breeding materials under the Seeds of Discovery initiative in 2016

Terence Molnar Marcela Carvalho Juan Burgueño Jose Crossa Samuel Trachsel Monica Mezzalama Denise Costich Sarah Hearne (2018)

These data describe the evaluation of landraces and landrace-derived pre-breeding materials for biotic and abiotic stress resistance as well as for general yield potential in 2016. Populations and accessions of interest for terminal drought and Tar Spot tolerance were evaluated for yield potential and response to both stresses under the MasAgro Biodiversidad project. Populations and accessions of interest for terminal heat and MCMV tolerance were evaluated for response to both stresses under the MAIZE CRP project.

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