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Genetics, Genomics, and Prediction of Winter Squash Fruit Quality

dc.contributor.authorHernandez, Christopher
dc.contributor.chairMazourek, Michael
dc.contributor.committeeMemberRutkoski, Jessica Elaine
dc.contributor.committeeMemberLi, Li
dc.date.accessioned2019-10-15T16:47:17Z
dc.date.available2021-08-29T06:00:15Z
dc.date.issued2019-08-30
dc.description.abstractThis work describes the application of genomics towards improving fruit quality traits in a winter squash breeding program and elucidating the genetics of squash fruit quality. Phenotypes related to fruit quality can only be assessed at the end of the growing season and are laborious to measure. Squash are demanding in terms of space, which greatly reduces breeding population sizes in the field and in the greenhouse relative to other crops. These constraints motivated an investigation into the use of genomic selection to reduce breeding cycle length and enable earlier selection. Initial work was conducted to determine the prediction accuracy of different modeling approaches for key fruit traits; accuracies were deemed sufficient for deployment for all traits of interest. A selection experiment was then conducted using index selection facilitated by a multi-trait GBLUP model to improve three fruit quality traits: degree Brix, %dry matter, and color value a*. An evaluation of this selection experiment revealed significant genetic gain in all three traits and total index value. To compliment applied breeding work, an RNA-Seq experiment was conducted in several cultivars of varying fruit quality. Gene expression data indicated that differential gene expression may explain some of the observed phenotypic variation, and suggested candidate genes for further investigation.
dc.identifier.doihttps://doi.org/10.7298/fggv-wd65
dc.identifier.otherHernandez_cornellgrad_0058F_11491
dc.identifier.otherhttp://dissertations.umi.com/cornellgrad:11491
dc.identifier.otherbibid: 11050482
dc.identifier.urihttps://hdl.handle.net/1813/67500
dc.language.isoen_US
dc.subjectGenomic selection
dc.subjectGenetics
dc.subjectMolecular biology
dc.subjectFruit Quality
dc.subjectMulit-trait selection
dc.subjectPlant Breeding
dc.subjectPlant sciences
dc.titleGenetics, Genomics, and Prediction of Winter Squash Fruit Quality
dc.typedissertation or thesis
dcterms.licensehttps://hdl.handle.net/1813/59810
thesis.degree.disciplinePlant Breeding
thesis.degree.grantorCornell University
thesis.degree.levelDoctor of Philosophy
thesis.degree.namePh.D., Plant Breeding

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