dc.creator | Ceron Rojas, J.J. | |
dc.creator | Crossa, J. | |
dc.creator | Arief, V.N. | |
dc.creator | Basford, K.E. | |
dc.creator | Rutkoski, J. | |
dc.creator | Jarquin, D. | |
dc.creator | Alvarado Beltrán, G. | |
dc.creator | Beyene, Y. | |
dc.creator | Fentaye Kassa Semagn | |
dc.creator | DeLacy, I.H. | |
dc.date | 2015-10-21T19:58:15Z | |
dc.date | 2015-10-21T19:58:15Z | |
dc.date | 2015 | |
dc.date.accessioned | 2023-07-17T19:59:12Z | |
dc.date.available | 2023-07-17T19:59:12Z | |
dc.identifier | http://hdl.handle.net/10883/4495 | |
dc.identifier | 10.1534/g3.115.019869 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7509950 | |
dc.description | A genomic selection index (GSI) is a linear combination of genomic estimated breeding values that uses genomic markers to predict the net genetic merit and select parents from a nonphenotyped testing population. Some authors have proposed a GSI; however, they have not used simulated or real data to validate the GSI theory and have not explained how to estimate the GSI selection response and the GSI expected genetic gain per selection cycle for the unobserved traits after the first selection cycle to obtain information about the genetic gains in each subsequent selection cycle. In this paper, we develop the theory of a GSI and apply it to two simulated and four real data sets with four traits. Also, we numerically compare its efficiency with that of the phenotypic selection index (PSI) by using the ratio of the GSI response over the PSI response, and the PSI and GSI expected genetic gain per selection cycle for observed and unobserved traits, respectively. In addition, we used the Technow inequality to compare GSI vs. PSI efficiency. Results from the simulated data were confirmed by the real data, indicating that GSI was more efficient than PSI per unit of time. | |
dc.description | 2155-2164 | |
dc.format | PDF | |
dc.language | English | |
dc.publisher | Genetics Society of America | |
dc.relation | http://hdl.handle.net/11529/10199 | |
dc.relation | https://www.g3journal.org/content/5/10/2155.supplemental | |
dc.rights | CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose. | |
dc.rights | Open Access | |
dc.source | 10 | |
dc.source | 5 | |
dc.source | G3: Genes, Genomes, Genetics | |
dc.subject | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY | |
dc.subject | Genomic Estimated Breeding Value | |
dc.subject | Net Genetic Merit | |
dc.subject | Selection Response | |
dc.subject | Genomic Selection | |
dc.subject | GenPred | |
dc.subject | Shared Data Resources | |
dc.subject | BREEDING VALUE | |
dc.subject | SELECTION INDEX | |
dc.subject | CROP FORECASTING | |
dc.subject | DATA ANALYSIS | |
dc.title | A genomic selection index applied to simulated and real data | |
dc.type | Article | |
dc.coverage | USA | |