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Autor: Peter Wenzl
Thomas Payne Sarah Hearne Michael Abberton Peter Wenzl (2017)
Genotyping and re-sequencing are among a suite of tools used to enable rapid and cost-effective tool to study genetic diversity. This workshop will explore its use in the genetic curation of accessi ons within and between collection(s). With such information across global collections, it becomes possible identify the truly unique accessions across all of our gene banks, identify possible gaps in the global collection and enable more targeted access to genetic diversity. The workshop will discuss presentations from each participant on use cases. Lessons learned from initiatives such as CIMMYT’s Seeds for Discovery for maize and wheat, and CIP’s investigations on sweet potato and at IITA and CIAT for cassava will be considered.
Dataset
Thomas Payne Sarah Hearne Michael Abberton Peter Wenzl (2017)
Genotyping and re-sequencing are among a suite of tools used to enable rapid and cost-effective tool to study genetic diversity. This workshop will explore its use in the genetic curation of accessi ons within and between collection(s). With such information across global collections, it becomes possible identify the truly unique accessions across all of our gene banks, identify possible gaps in the global collection and enable more targeted access to genetic diversity. The workshop will discuss presentations from each participant on use cases. Lessons learned from initiatives such as CIMMYT’s Seeds for Discovery for maize and wheat, and CIP’s investigations on sweet potato and at IITA and CIAT for cassava will be considered.
Dataset
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
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
Replication Data for: Genomic Prediction of Gene Bank Wheat Landraces
Jose Crossa DIEGO JARQUIN Jorge Franco Paulino Pérez-Rodríguez Juan Burgueño Carolina Saint Pierre Prashant Vikram Carolina Sansaloni Cesar Petroli Deniz Akdemir Clay Sneller Matthew Paul Reynolds Thomas Payne Carlos Guzman Roberto Peña Peter Wenzl Sukhwinder Singh (2023)
Genomic prediction methods may be used to enhance efforts to rapidly introgress traits of interest from exotic germplasm into elite materials. This study examined the performance of different genomic prediction models using genotypic and phenotypic data related to 8416 Mexican landrace accessions and 2403 Iranian landrace accessions stored in germplasm banks. The Mexican and Iranian collections were evaluated under optimal, drought, and heat conditions for several traits including the highly heritable traits, days to heading (DTH), and days to maturity (DTM). The results of the different analyses are reported in the accompanying journal article.
Dataset
Carolina Sansaloni Jorge Franco Bruno Santos Lawrence Percival-Alwyn Cesar Petroli Jaime Campos Kate Dreher Thomas Payne David Marshall Benjamin Kilian Iain Milne Sebastian Raubach Paul Shaw Gordon Stephen Carolina Saint Pierre Juan Burgueño Jose Crossa Huihui Li Andrzej Kilian Peter Wenzl Ahmed Amri Cristobal Uauy Marianne Bänziger Mario Caccamo Kevin Pixley (2020)
A diverse panel of domesticated hexaploid and tetraploid wheat lines and their tetraploid and diploid wild relatives were genotyped using the DArtSeq technology and characterized in a global wheat diversity analysis.
Dataset