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Novel Analyses of Winter Wheat Ontario Cereal Crop Committee Performance Trial Data

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dc.contributor.advisor Lukens, Lewis
dc.contributor.author So, Delvin
dc.date.accessioned 2019-09-10T15:20:37Z
dc.date.available 2019-09-10T15:20:37Z
dc.date.copyright 2019-09
dc.date.created 2019-08-28
dc.date.issued 2019-09-10
dc.identifier.uri http://hdl.handle.net/10214/17411
dc.description.abstract The Ontario Cereal Crop Committee conducts cereal crop performance trials annually, providing a rigorous basis for variety testing and farmer recommendations. This data holds valuable information to be mined for insight. Historical winter wheat trial data between 1971 and 2018 was analyzed to (i) quantify genetic, agronomic, and overall progress in yield gain for winter wheat; (ii) compare the predictability of variety estimates for subsequent years based on single year or multiyear evaluations; and (iii) assess the potential of genomic prediction using molecular markers applied to trial entries. Genetics contributions to trial yield have been linear, yet overall yield gains are stagnating because of yield reductions due to non-genetic effects. Multiple-year trials and single year trials have similar predictive powers. Genomic prediction of yield has a high accuracy of 0.65. Markers predict yield because of kinship rather than because of linkage to causative QTL. en_US
dc.language.iso en en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject winter wheat en_US
dc.subject bioinformatics en_US
dc.title Novel Analyses of Winter Wheat Ontario Cereal Crop Committee Performance Trial Data en_US
dc.type Thesis en_US
dc.degree.programme Bioinformatics en_US
dc.degree.name Master of Science en_US
dc.degree.department Department of Plant Agriculture en_US
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