Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.)
These datasets contain phenotypic and genotypic data of a MAGIC population, DOR364 x G19833 biparental population, VEF panel and MIP panel. The main goal for these populations is to be used for genetic analysis and applications in breeding and breeding tool development, as well as information for ba...
| Main Authors: | , , , , , , , , , |
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| Format: | Conjunto de datos |
| Language: | Inglés |
| Published: |
International Center for Tropical Agriculture
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/110281 |
| _version_ | 1855537876217888768 |
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| author | Díaz, Santiago Ariza-Suárez, Daniel Ramdeen, Raisa Aparicio Arce, Johan Steven Arunachalam, Nirmala Hernández Lira, Juan Carlos Diaz, Harold Ruíz Guzman, Henry Alonso Piepho, Hans-Peter Raatz, Bodo |
| author_browse | Aparicio Arce, Johan Steven Ariza-Suárez, Daniel Arunachalam, Nirmala Diaz, Harold Díaz, Santiago Hernández Lira, Juan Carlos Piepho, Hans-Peter Raatz, Bodo Ramdeen, Raisa Ruíz Guzman, Henry Alonso |
| author_facet | Díaz, Santiago Ariza-Suárez, Daniel Ramdeen, Raisa Aparicio Arce, Johan Steven Arunachalam, Nirmala Hernández Lira, Juan Carlos Diaz, Harold Ruíz Guzman, Henry Alonso Piepho, Hans-Peter Raatz, Bodo |
| author_sort | Díaz, Santiago |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | These datasets contain phenotypic and genotypic data of a MAGIC population, DOR364 x G19833 biparental population, VEF panel and MIP panel. The main goal for these populations is to be used for genetic analysis and applications in breeding and breeding tool development, as well as information for basic research questions aiming to uncover the genetic basis of seed quality traits. The raw phenotypic data come from trials carried out in Palmira (Colombia). The trials were laid out in the field with an alpha-lattice experimental design in 2011, 2013, 2017 and 2019. Three trails were assessed: Cooking time (CKT), Water absorption capacity (WAC) and seed weight (SdW). The agronomic performance of the population was modeled using linear mixed models. From these models, best linear unbiased predictors were obtained (BLUPs). The genotypic datasets include a variant call format (VCF) file from MAGIC population, VEF panel and MIP panel. |
| format | Conjunto de datos |
| id | CGSpace110281 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | International Center for Tropical Agriculture |
| publisherStr | International Center for Tropical Agriculture |
| record_format | dspace |
| spelling | CGSpace1102812024-04-25T06:01:41Z Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.) Díaz, Santiago Ariza-Suárez, Daniel Ramdeen, Raisa Aparicio Arce, Johan Steven Arunachalam, Nirmala Hernández Lira, Juan Carlos Diaz, Harold Ruíz Guzman, Henry Alonso Piepho, Hans-Peter Raatz, Bodo experimental data datos experimentales quantitative trait loci loci de rasgos cuantitativos genetic control control genético These datasets contain phenotypic and genotypic data of a MAGIC population, DOR364 x G19833 biparental population, VEF panel and MIP panel. The main goal for these populations is to be used for genetic analysis and applications in breeding and breeding tool development, as well as information for basic research questions aiming to uncover the genetic basis of seed quality traits. The raw phenotypic data come from trials carried out in Palmira (Colombia). The trials were laid out in the field with an alpha-lattice experimental design in 2011, 2013, 2017 and 2019. Three trails were assessed: Cooking time (CKT), Water absorption capacity (WAC) and seed weight (SdW). The agronomic performance of the population was modeled using linear mixed models. From these models, best linear unbiased predictors were obtained (BLUPs). The genotypic datasets include a variant call format (VCF) file from MAGIC population, VEF panel and MIP panel. 2020-11 2020-11-24T16:34:53Z 2020-11-24T16:34:53Z Dataset https://hdl.handle.net/10568/110281 en https://doi.org/10.7910/DVN/JR4X4C https://doi.org/10.7910/DVN/XCD67U Open Access International Center for Tropical Agriculture Diaz, S.; Ariza-Suarez, D.; Ramdeen, R.; Aparicio Arce, J.S.; Arunachalam, N.; Hernandez Lira, J.C.; Diaz, H.; Ruiz Guzman, H.A.; Piepho, H.P.; Raatz, B., (2020) Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.). https://doi.org/10.7910/DVN/B3YLRF, Harvard Dataverse, V1, UNF:6:Zhk8LSztbd3+OfcV1gnNyQ== [fileUNF] |
| spellingShingle | experimental data datos experimentales quantitative trait loci loci de rasgos cuantitativos genetic control control genético Díaz, Santiago Ariza-Suárez, Daniel Ramdeen, Raisa Aparicio Arce, Johan Steven Arunachalam, Nirmala Hernández Lira, Juan Carlos Diaz, Harold Ruíz Guzman, Henry Alonso Piepho, Hans-Peter Raatz, Bodo Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.) |
| title | Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.) |
| title_full | Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.) |
| title_fullStr | Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.) |
| title_full_unstemmed | Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.) |
| title_short | Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.) |
| title_sort | genetic architecture and genomic prediction of cooking time in common bean phaseolus vulgaris l |
| topic | experimental data datos experimentales quantitative trait loci loci de rasgos cuantitativos genetic control control genético |
| url | https://hdl.handle.net/10568/110281 |
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