Genetic diversity and GWAS of agronomic traits using an ICARDA lentil (Lens culinaris Medik.) Reference Plus collection
cg.contact | clarice.coyne@ars.usda.gov | en_US |
cg.contributor.center | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.contributor.center | University of Saskatchewan - USASK | en_US |
cg.contributor.center | Washington State University - WSU | en_US |
cg.contributor.center | United States Department of Agriculture, Agricultural Research Service - USDA-ARS | en_US |
cg.contributor.crp | CGIAR Research Program on Grain Legumes and Dryland Cereals - GLDC | en_US |
cg.contributor.funder | Not Applicable | en_US |
cg.contributor.project-lead-institute | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.coverage.country | LB | en_US |
cg.coverage.region | Western Asia | en_US |
cg.creator.id | Agrawal, Shiv Kumar: 0000-0001-8407-3562 | en_US |
cg.identifier.doi | https://dx.doi.org/10.1017/S147926212100006X | en_US |
cg.isijournal | ISI Journal | en_US |
cg.issn | 1479-2621 | en_US |
cg.issn | 1479-263X | en_US |
cg.issue | 4 | en_US |
cg.journal | Plant Genetic Resources | en_US |
cg.subject.agrovoc | gbs | en_US |
cg.subject.agrovoc | gwas | en_US |
cg.subject.agrovoc | lentils | en_US |
cg.subject.agrovoc | lens culinaris | en_US |
cg.subject.agrovoc | lentil | en_US |
cg.volume | 19 | en_US |
dc.contributor | Coyne, Clarice J | en_US |
dc.contributor | Zheng, Ping | en_US |
dc.contributor | Saha, Gopesh | en_US |
dc.contributor | Main, Dorrie | en_US |
dc.contributor | Amin, Nurul | en_US |
dc.contributor | Ma, Yu | en_US |
dc.contributor | Kisha, Ted | en_US |
dc.contributor | Bett, Kirstin | en_US |
dc.contributor | McGee, Rebecca | en_US |
dc.contributor | Agrawal, Shiv Kumar | en_US |
dc.creator | Rajendran, Karthika | en_US |
dc.date.accessioned | 2021-11-03T22:36:41Z | |
dc.date.available | 2021-11-03T22:36:41Z | |
dc.description.abstract | Genotyping of lentil plant genetic resources holds the promise to increase the identification and utilization of useful genetic diversity for crop improvement. The International Center for Agriculture Research in the Dry Areas (ICARDA) lentil reference set plus collection of 176 accessions was genotyped using genotyping-by-sequencing (GBS) and 22,555 SNPs were identified. The population structure was investigated using Bayesian analysis (STRUCTURE, k = 3) and principal component analysis. The two methods are in concordance. Genome-wide association analysis (GWAS) using the filtered SNP set and ICARDA historical phenotypic data discovered putative markers for several agronomic traits including days to first flower, seeds per pod, seed weight and days to maturity. The genetic and genomic resources developed and utilized in this study are available to the research community interested in exploring the ICARDA reference set plus collection using GWAS. | en_US |
dc.format | en_US | |
dc.identifier | https://mel.cgiar.org/reporting/downloadmelspace/hash/8b8e0612a532669fede6100f80fddff3/v/5f0c9c82a636a03afc9c60adbf646014 | en_US |
dc.identifier.citation | Karthika Rajendran, Clarice J Coyne, Ping Zheng, Gopesh Saha, Dorrie Main, Nurul Amin, Yu Ma, Ted Kisha, Kirstin Bett, Rebecca McGee, Shiv Kumar Agrawal. (7/7/2021). Genetic diversity and GWAS of agronomic traits using an ICARDA lentil (Lens culinaris Medik. ) Reference Plus collection. Plant Genetic Resources, 19 (4), pp. 279-288. | en_US |
dc.identifier.status | Open access | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11766/66324 | |
dc.language | en | en_US |
dc.publisher | Cambridge University Press (CUP) | en_US |
dc.rights | CC-BY-4.0 | en_US |
dc.source | Plant Genetic Resources;19,(2021) Pagination 279-288 | en_US |
dc.subject | snps | en_US |
dc.subject | genotyping by sequencing | en_US |
dc.title | Genetic diversity and GWAS of agronomic traits using an ICARDA lentil (Lens culinaris Medik.) Reference Plus collection | en_US |
dc.type | Journal Article | en_US |
dcterms.available | 2021-07-07 | en_US |
dcterms.extent | 279-288 | en_US |
mel.impact-factor | 1.08 | en_US |