Global programs / POPSEQ
The advancement of next-generation sequencing technologies in conjunction with new bioinformatics tools enabled fine-tuning of sequence-based, high-resolution mapping strategies for complex genomes. Although genotyping-by-sequencing (GBS) provides a large number of markers, its application for association mapping and genomics-assisted breeding is limited by a large proportion of missing data per marker. For species with a reference genomic sequence, markers can be ordered on the physical map. However, in the absence of reference marker order, the use and imputation of GBS markers is challenging. Here, we demonstrate how the population sequencing (POPSEQ) approach can be used to provide marker context for GBS in wheat. The utility of a POPSEQ-based genetic map as a reference map to create genetically ordered markers on a chromosome for hexaploid wheat was validated by constructing an independent de novo linkage map of GBS markers from a Synthetic W7984 x Opata M85 recombinant inbred line (SynOpRIL) population. The results indicated that there is strong agreement between the independent de novo linkage map and the POPSEQ mapping approach in mapping and ordering GBS markers for hexapl
Source: DEC abstract, PB-AAG-022 (2015). The source's own text.
Operated in: Ethiopia, Ghana, Tanzania, Africa, Mali.
When the program ran, from its start year to the latest document year. A hatched bar means the start is our estimate.
Axis: award years, end from years in documents. The start year comes from award fiscal year; the end is the latest document year, so the program may have run longer.
A few documents to read first. Each opens in the side panel, with the PDF to download.
| Name | Role | Years | Basis | Evidence |
|---|---|---|---|---|
| Kansas State University | implementer | 2015 to 2018 | Stated in a document | 2 sources |
| Texas A & M University (TAMU) | implementer | 2023 | Stated in a document | 1 source |
Awards, topics, similar programs and how to read this page.
Scope: global. Set by the countries the program's documents name most often. Low confidence.
How sure we are: 0.5.
| Name | Years | Basis | Evidence |
|---|---|---|---|
| OAA-A-13-00005 (cooperative agreement, FY2013) | 2015 to 2023 | Stated in a document |
| implementer |
| 2017 |
| Stated in a document |
| 1 source |
| United Nations Univ | implementer | 2017 | Stated in a document | 1 source |
| University of Guelph | implementer | 2017 | Stated in a document | 1 source |
| Bahir Dar Univeristy | implementer | 2018 | Stated in a document | 1 source |
| North Carolina A&T State University | implementer | 2018 | Stated in a document | 1 source |
| Texas A&M AgriLife Research | implementer | 2018 | Stated in a document | 1 source |
| 5 sources |
| OAA-L-14-00006 (other, FY2014) | 2018 | Stated in a document | 1 source |
| Name | Years | Basis | Evidence |
|---|---|---|---|
| U.S. Agency for International Development (USAID) | 2015 to 2023 | Stated in a document | 2 sources |
| USAID Bureau for Food Security | 2017 | Stated in a document | 1 source |
| United States Department of Agriculture (USDA) | 2015 to 2017 | Stated in a document | 2 sources |
Sector profile (computed): Agriculture: crop production, inputs, pests, irrigation 45%; Natural resources and biodiversity (forests, wildlife, water resources) 22%; Water supply, sanitation and hygiene 16%
DEC topic and subject tags. They describe the documents, not what the program was. Each tag opens its evidence in the drawer.
Programs worth reading next, by topic, implementer, country and years. Similar by facets (topic, implementer, country, years) and, when available, description. It says the programs look alike, not how they are related in time. Source: catalog facets
Looking for similar programs.
33 facts shown; 0 unconfirmed links; 0 support mechanisms (not programs); 5 documents cite this program.
Program key awd:AID-OAA-A-13-0005
No quote: this fact comes from a metadata field, shown as stored.