Developments in the molecular genetics, biology and genomics of peach [Prunus persica (L.) Batsch] have occurred during the last 30 years; however, the translation of these developments into germplasm breeding and cultivar development that provide pragmatic results for growers, retailers, researchers and consumers has been limited. To date the manipulation of QTL information for an applied quantitative measurement of the genetic merit of peach breeding stocks has not occurred. This dissertation contributes to the body of knowledge on genetic improvement of peach by applying quantitative genetic methods reinforced with Bayesian inference procedures and bioinformatics techniques. It is presented in the form of four manuscripts that present the study of relevant traits for improving the Peach Breeding Program at the University of California at Davis. The first manuscript covers the estimation of breeding values for brown rot (Monolinia fruticola L.) tolerance in a pedigree of peach with genetic introgression from almond [ Prunus dulcis (Mill.) D.A.Webb] through the Bayesian Ordinal Animal Model (BOAM). The second and third manuscripts relate to the use genomic resources developed at RosBREED, through the Pedigree-based Analysis under the Bayesian framework, to identify genetic components involved in the exhibition of commercial traits in peach. Thus, the second manuscript describes the QTL mapping and Genome-wide Estimated Breeding Values (GEBVs) for nine traits in a diverse pedigree of peach possessing genetic introgressions from related species, including almond, Prunus argentea (Lam.) Rehder, Prunus davidiana (Carrière) Franch and Prunus mira Koehne. The third manuscript describes the QTL mapping and estimation of GEBVs for fruit size, dissecting the traits of fresh weight and fruit equatorial diameter in a pedigree across four peach breeding programs in the US; this pedigree has as a common founder cultivar, the heirloom cultivar ‘Orange Cling’. The fourth manuscript covers the application of the bioinformatics and genomic resources developed at UC Davis for an understanding of the genome heterogeneity expressed as small and structural genomic variants in three divergent accessions of peach.
|Advisor:||Gradziel, Thomas M., Famula, Thomas R.|
|Commitee:||Crisosto, Carlos H.|
|School:||University of California, Davis|
|Department:||Horticulture and Agronomy|
|School Location:||United States -- California|
|Source:||DAI-B 76/04(E), Dissertation Abstracts International|
|Subjects:||Genetics, Statistics, Horticulture|
|Keywords:||Bayesian ordinal animal model, Breeding perspective, Breeding value, Molecular assisted breeding, Pedigree based analysis, Qtl mapping|
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