Editorial: Genome Wide Association Studies and Genomic Selection for Crop Improvement in the Era of Big Data
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-05-01
|
| Series: | Frontiers in Genetics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.873060/full |
| _version_ | 1828339726360248320 |
|---|---|
| author | Alison R. Bentley Alison R. Bentley Charles Chen Nunzio D’Agostino |
| author_facet | Alison R. Bentley Alison R. Bentley Charles Chen Nunzio D’Agostino |
| author_sort | Alison R. Bentley |
| collection | DOAJ |
| first_indexed | 2024-04-13T22:46:46Z |
| format | Article |
| id | doaj.art-be164bf943de453e99b4e06fa583524f |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-04-13T22:46:46Z |
| publishDate | 2022-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-be164bf943de453e99b4e06fa583524f2022-12-22T02:26:22ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-05-011310.3389/fgene.2022.873060873060Editorial: Genome Wide Association Studies and Genomic Selection for Crop Improvement in the Era of Big DataAlison R. Bentley0Alison R. Bentley1Charles Chen2Nunzio D’Agostino3International Wheat and Maize Improvement Center (CIMMYT), El Batan, MexicoNIAB, Cambridge, United KingdomDepartment of Biochemistry and Molecular Biology, 246 Noble Research Center, Oklahoma State University, Stillwater, OK, United StatesDepartment of Agricultural Sciences, University of Naples Federico II, Portici, Italyhttps://www.frontiersin.org/articles/10.3389/fgene.2022.873060/fullallele mininggenetic diversitygenotypinghigh-throughput phenotyping (HTPP)genomic estimated breeding values (GEBV)genome-to-phenome |
| spellingShingle | Alison R. Bentley Alison R. Bentley Charles Chen Nunzio D’Agostino Editorial: Genome Wide Association Studies and Genomic Selection for Crop Improvement in the Era of Big Data Frontiers in Genetics allele mining genetic diversity genotyping high-throughput phenotyping (HTPP) genomic estimated breeding values (GEBV) genome-to-phenome |
| title | Editorial: Genome Wide Association Studies and Genomic Selection for Crop Improvement in the Era of Big Data |
| title_full | Editorial: Genome Wide Association Studies and Genomic Selection for Crop Improvement in the Era of Big Data |
| title_fullStr | Editorial: Genome Wide Association Studies and Genomic Selection for Crop Improvement in the Era of Big Data |
| title_full_unstemmed | Editorial: Genome Wide Association Studies and Genomic Selection for Crop Improvement in the Era of Big Data |
| title_short | Editorial: Genome Wide Association Studies and Genomic Selection for Crop Improvement in the Era of Big Data |
| title_sort | editorial genome wide association studies and genomic selection for crop improvement in the era of big data |
| topic | allele mining genetic diversity genotyping high-throughput phenotyping (HTPP) genomic estimated breeding values (GEBV) genome-to-phenome |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2022.873060/full |
| work_keys_str_mv | AT alisonrbentley editorialgenomewideassociationstudiesandgenomicselectionforcropimprovementintheeraofbigdata AT alisonrbentley editorialgenomewideassociationstudiesandgenomicselectionforcropimprovementintheeraofbigdata AT charleschen editorialgenomewideassociationstudiesandgenomicselectionforcropimprovementintheeraofbigdata AT nunziodagostino editorialgenomewideassociationstudiesandgenomicselectionforcropimprovementintheeraofbigdata |