Persistent Identifier
|
doi:10.7910/DVN/JR4X4C |
Publication Date
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2019-06-27 |
Title
| Replication Data for: Genetic mapping for agronomic traits in a MAGIC population of common bean (Phaseolus vulgaris L.) under drought conditions |
Author
| Diaz, SantiagoInternational Center for Tropical Agriculture - CIAT
Ariza-Suarez, DanielInternational Center for Tropical Agriculture - CIATORCID0000-0002-1871-3514
Izquierdo, PauloInternational Center for Tropical Agriculture - CIAT, Michigan State University - MSU
Lobaton, Juan DavidInternational Center for Tropical Agriculture - CIAT, University of New England
de la Hoz, JuanInternational Center for Tropical Agriculture - CIAT, University of CaliforniaORCID0000-0002-5584-7511
Acevedo, FernandoInternational Center for Tropical Agriculture - CIAT, Universidad Nacional de Colombia
Duitama, JorgeInternational Center for Tropical Agriculture - CIAT, Universidad de los AndesORCID0000-0002-9105-6266
Guerrero, AlbertoInternational Center for Tropical Agriculture - CIAT
Cajiao, CesarInternational Center for Tropical Agriculture - CIAT
Mayor, VictorInternational Center for Tropical Agriculture - CIAT, Progeny Breeding
Beebe, StephenInternational Center for Tropical Agriculture - CIATORCID0000-0002-3742-9930
Raatz, BodoInternational Center for Tropical Agriculture - CIATORCID0000-0003-0556-0691 |
Point of Contact
|
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CIAT Data and Research Methods (International Center for Tropical Agriculture - CIAT) |
Description
| These datasets contain phenotypic and genotypic data of a MAGIC (Multiparent Advanced Generation Inter-Crosses) population of common bean (Phaseolus vulgaris L.), developed by inter-crossing of eight Mesoamerican elite breeding lines. The main goal for this population is to be used for applications in breeding and breeding tool development, which will support efforts to develop climate resilient germplasm, as well as information for basic research questions aiming to uncover the genetic basis of important agronomic traits. The raw phenotypic data come from three different trials carried out in Palmira (Colombia). Two replicated trials were laid out in the field with an alpha-lattice experimental design in 2013 and 2014, and an additional non-replicated trial in 2016. Several agronomic traits were assessed, including Days to Flowering (DF), Days to Physiological Maturity (DPM), 100 seed weight (100SdW), Yield (Yd), Pod Harvest Index (PHI), Iron and Zinc content (SdFe and SdZn). The agronomic performance of the population was modeled using linear mixed models with spatial correction. From these models, best linear unbiased estimators / predictors were obtained (BLUEs/BLUPs). The genotypic datasets include a variant call format (VCF) file of 20,615 GBS variants genotyped for 629 RILs (recombinant inbred lines) and 8 founder. From this matrix, a large and dense genetic map was obtained. This map accounts for multiple recombination events from multiple founder lines using SNP data, conferring higher accuracy due to the large population size. It makes it suitable for analyzing the linkage and segregation patterns for genetic mapping in the species Phaseolus vulgaris. |
Subject
| Agricultural Sciences |
Keyword
| Genotyping-By-Sequencing (GBS)
Genome-Wide Association Study (GWAS)
Multiparent Advanced Generation Inter-Crosses (MAGIC)
Quantitative Trait Loci (QTL) (AGROVOC) http://aims.fao.org/aos/agrovoc/c_37974
Whole Genome Sequencing (WGS)
Beans (AGROVOC) http://aims.fao.org/aos/agrovoc/c_331566
Latin America and the Caribbean (CIAT Region)
Agrobiodiversity - AGBIO (CIAT Research Area)
Common Bean Ontology (Crop Ontology) http://www.cropontology.org/ontology/CO_335/Common%20bean |
Topic Classification
| Inbred lines (AGROVOC) http://aims.fao.org/aos/agrovoc/c_24039
Drought (AGROVOC) http://aims.fao.org/aos/agrovoc/c_2391
Plant breeding (AGROVOC) http://aims.fao.org/aos/agrovoc/c_5956
Genetic maps (AGROVOC) http://aims.fao.org/aos/agrovoc/c_24002
Quantitative trait loci (AGROVOC) http://aims.fao.org/aos/agrovoc/c_37974
Phaseolus vulgaris (AGROVOC) http://aims.fao.org/aos/agrovoc/c_5767 |
Related Publication
| Lobaton JD, Miller T, Gil J, Ariza D, De La Hoz JF, Soler A, Beebe S, Duitama J, Gepts P, Raatz B (2018) Data from: Resequencing of common bean identifies regions of inter-gene pool introgression and provides comprehensive resources for molecular breeding. Dryad Digital Repository. doi 10.5061/dryad.46pk7 https://doi.org/10.5061/dryad.46pk7
Perea, Claudia, Juan Fernando De La Hoz, Daniel Felipe Cruz, Juan David Lobaton, Paulo Izquierdo, Juan Camilo Quintero, Bodo Raatz, and Jorge Duitama. 2016. “Bioinformatic Analysis of Genotype by Sequencing (GBS) Data with NGSEP.” BMC Genomics 17 (S5): 498. doi 10.1186/s12864-016-2827-7 https://doi.org/10.1186/s12864-016-2827-7 |
Producer
| International Center for Tropical Agriculture (CIAT) http://ciat.cgiar.org/ 
|
Funding Information
| Bill & Melinda Gates Foundation: OPP1114827
United States Agency for International Development - USAID: Prime award number AID‐0AA‐A‐13‐00077, sub award number 4943-CIDT-AID-0077 |
Distributor
| International Center for Tropical Agriculture (CIAT) http://ciat.cgiar.org/ 
|
Depositor
| Barboza Candelo, Juliette |
Deposit Date
| 2019-06-26 |
Data Type
| Trial Data; Models; Breeding Data; Genomic Data |