dc.creatorCeron Rojas, J.J.
dc.creatorCrossa, J.
dc.creatorArief, V.N.
dc.creatorBasford, K.E.
dc.creatorRutkoski, J.
dc.creatorJarquin, D.
dc.creatorAlvarado Beltrán, G.
dc.creatorBeyene, Y.
dc.creatorFentaye Kassa Semagn
dc.creatorDeLacy, I.H.
dc.date2015-10-21T19:58:15Z
dc.date2015-10-21T19:58:15Z
dc.date2015
dc.date.accessioned2023-07-17T19:59:12Z
dc.date.available2023-07-17T19:59:12Z
dc.identifierhttp://hdl.handle.net/10883/4495
dc.identifier10.1534/g3.115.019869
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7509950
dc.descriptionA 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.description2155-2164
dc.formatPDF
dc.languageEnglish
dc.publisherGenetics Society of America
dc.relationhttp://hdl.handle.net/11529/10199
dc.relationhttps://www.g3journal.org/content/5/10/2155.supplemental
dc.rightsCIMMYT 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.rightsOpen Access
dc.source10
dc.source5
dc.sourceG3: Genes, Genomes, Genetics
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectGenomic Estimated Breeding Value
dc.subjectNet Genetic Merit
dc.subjectSelection Response
dc.subjectGenomic Selection
dc.subjectGenPred
dc.subjectShared Data Resources
dc.subjectBREEDING VALUE
dc.subjectSELECTION INDEX
dc.subjectCROP FORECASTING
dc.subjectDATA ANALYSIS
dc.titleA genomic selection index applied to simulated and real data
dc.typeArticle
dc.coverageUSA


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