Autor: Sarah Hearne

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

SeeD GWAS Panel Accession Collection Site GIS-Derived Environmental Data

Sarah Hearne Kai Sonder (2018)

Historic accession collection site environmental data derived from CRU and other data resources.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

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

Evaluation of maize pre-breeding materials under the Seeds of Discovery initiative in 2018

Jose Crossa Cesar Petroli Sarah Hearne (2021)

These data describe the evaluation of landrace-derived pre-breeding materials for biotic and abiotic stress resistance as well as for blue maize production in 2018. Populations of interest for drought stress during flowering time, heat stress during flowering time, Tar Spot tolerance, and blue maize production were evaluated for yield potential and response to the stresses with support from the MasAgro Biodiversidad project and the CGIAR Research Program on Maize.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

CIMMYT Maize Line (CML) SNPs Generated Using DArTseq Genotyping

Sarah Hearne jiafa chen Cesar Petroli (2016)

This set of genotypic data was used for the analyses described in the paper: Chen J, Zavala C, Ortega N, Petroli C, Franco J, Burgueño J, et al. (2016) The Development of Quality Control Genotyping Approaches: A Case Study Using Elite Maize Lines. PLoS ONE 11(6): e0157236. doi:10.1371/journal.pone.0157236

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

2019 release of SNP allele frequency data for maize accessions in the CIMMYT Germplasm Bank maize collection

Sarah Hearne Jorge Franco jiafa chen (2019)

The Maize Collection in the CIMMYT Germplasm Bank was genotyped using DArTSeq technology. Pooled DNA samples were generated from over 25,000 accessions. The counts of resulting SNPs were used to evaluate the allele frequencies of alleles present within the maize accessions. The genotyping method is described in: http://hdl.handle.net/11529/10548358.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

KDSmart: Training Materials and Sample Files

Sarah Hearne Terence Molnar Kate Dreher Claudio César Ayala Hernández (2016)

KDSmart is an app that can be used for data collection on any Android-based tablet or smartphone. It has many helpful features for capturing data in field and lab settings. This study contains documents and presentations that describe how KDSmart can be used and includes example files for traits, trials/nurseries, and tags that can be downloaded and serve as templates for loading on any device running KDSmart. KDSmart es una aplicación que se puede utilizer para captura de datos en cualquier dispositivo tablet o smartphone que tenga base Android. Tiene características muy útiles para captura de datos en campo y laboratorio. Este estudi o contiene documentación y presentaciones que describen como se puede utilizar KDSmart, incluyendo como ejemplos archivos de características, ensayos/viveros y etiquetas, que se pueden descargar como formatos para cargarlos en cualquier dispositivo que contenga KDSmart.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

SNP Allele Frequencies and Descriptive Data of 15,384 CIMMYT Germplasm Bank Maize Landrace Accessions

Jorge Franco Jose Crossa jiafa chen Sarah Hearne (2019)

Data and data descriptions supporting the journal article "The impact of sample selection strategies on genetic diversity and representativeness in germplasm bank collections"

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA