Modeling and simulation of recurrent phenotypic and genomic selections in plant breeding under the presence of epistasis

Vista sencilla de ítem
dc.creatorAli, Mohsin
dc.creatorZhang, Luyan
dc.creatorDeLacy, Ian
dc.creatorArief, Vivi
dc.creatorDieters, Mark
dc.creatorPfeiffer, Wolfgang H.
dc.creatorWang, Jiankang
dc.creatorLi, Huihui
dc.date2020-06-01
dc.date2024-05-22T12:10:28Z
dc.date2024-05-22T12:10:28Z
dc.date.accessioned2026-06-27T15:38:05Z
dc.descriptionRecurrent selection is an important breeding method for population improvement and selecting elite inbreds or fixed lines from the improved germplasm. Recently, a computer simulation tool called QuMARS has been developed, which allows the simulation and optimization of various recurrent selection strategies. Our major objective in this study was to use the QuMARS tool to compare phenotypic recurrent, marker-assisted recurrent, and genomic selections (abbreviated respectively as PS, MARS and GS) for both short- and long- term breeding procedures. For MARS, two marker selection models were considered, i.e., stepwise (Rstep) and forward regressions (Forward). For GS, three prediction models were considered, i.e., genomic best linear unbiased predictors (GBLUP), ridge regression (Ridge), and regression by Moore-Penrose general inverse (InverseMP). To generate genotypes and phenotypes for a given individual during simulation, one additive and two epistasis genetic models were considered with three levels of heritability. Results demonstrated that selection responses from GBLUP-based GS and MARS (Forward) were consistently greater than those from PS under the additive model, particularly in early selection cycles. In contrast, selection response from PS was consistently superior over MARS and GS under epistatic models. For the two epistasis models, total genetic variance and the additive variance component were increased in some cases after selection. Through simulation, we concluded that GS and PS were effective recurrent selection methods for improved breeding of targeted traits controlled by additive and epistatic quantitative trait loci (QTL). QuMARS provides an opportunity for breeders to compare, optimize and integrate new technology into their conventional breeding programs.
dc.identifierhttps://hdl.handle.net/10568/142418
dc.identifier.urihttp://hdl.handle.net/123456789/110102
dc.languageen
dc.publisherCrop Science Society of China
dc.publisherChinese Academy of Agricultural Sciences
dc.rightsOpen Access
dc.sourceAli, Mohsin; Zhang, Luyan; DeLacy, Ian; Arief, Vivi; Dieters, Mark; Pfeiffer, Wolfgang H.; Wang, Jiankang; and Li, Huihui. 2020. Modeling and simulation of recurrent phenotypic and genomic selections in plant breeding under the presence of epistasis. Crop Journal 8(5): 866-877. https://doi.org/10.1016/j.cj.2020.04.002
dc.subjectmodels
dc.subjectgenotypes
dc.subjectmarker-assisted selection
dc.subjectplant breeding
dc.subjectphenotypes
dc.subjectgene interaction
dc.titleModeling and simulation of recurrent phenotypic and genomic selections in plant breeding under the presence of epistasis
dc.typeJournal Article

Archivos

Colecciones

Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)