Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 35 for “"Genomic Prediction"”.
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Evaluation of Genomic Prediction and the Agronomic Performance of Facultative Barley
Cultivated barley typically exhibits either a winter growth habit or a spring growth habit. Some cultivars display a facultative growth habit, allowing them to be cultivated as either winter or spring crops. This study evaluated 1,128 elite barley cultivars and breeding lines under fall and spring …
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High-Throughput Phenotyping and Genomic Prediction in Multi-Environment Plant Breeding Field Trials
… and spatial models. Cross-environment prediction was conducted, and higher grain yield prediction accuracies were observed for LASSO regression models using image features (mean R2 = 0.34) than genomic prediction models alone (mean R2 = 0.26). However, the best cross-environment grain …
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Digital Phenotyping and Genomic Prediction Using Machine and Deep Learning in Animals and Plants
… systems can enable accurate live body weight prediction for dairy cattle and pigs. These studies also address the challenges of managing large, complex phenotypic data and highlight the potential of deep learning models to automate data processing and improve prediction accuracy in an …
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Genomic Prediction and Genetic Dissection of Yield-Related Traits in Soft Red Winter Wheat
… relatively few GWA analyses using high-density genomic markers have been carried out on highly quantitative traits in wheat. We utilized single-nucleotide polymorphism (SNP) data generated via a genotyping-by-sequencing (GBS) protocol to perform GWA on multiple yield-related traits using a panel …
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Evaluation of genomic prediction models that incorporates peak GWAS signals in maize and sorghum diversity panels
… in a genome-wide association study (GWAS) and genomic selection (GS) quantify the contributions of genomic markers in linkage disequilibrium with these genes to trait variation. In general, the GWAS has been successful at identifying genomic regions containing markers with moderate to strong …
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Evaluation of soybean cyst nematode (SCN) resistance in perennial glycine species and genome-wide association mapping and genomic prediction study for SCN resistance in common bean and prediction of the short distance movement of soybean rust urediniospores through machine learning
… the core collection of P. vulgaris and to make genomic predictions (GPs) of SCN resistance to two HG types. GWAS identified SNPs that are significantly associated with resistance to two HG types, and GP for resistance to two SCN HG types achieved high prediction accuracy. The findings in this …
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Accelerated breeding for winter wheat profitability in a wheat-soybean double-crop system
… using genetic trend analyses, multi-trait genomic prediction of total net merit, and training-set design optimization for early-stage advancement. Three questions organize the research. First, what has been the realized genetic trend for key traits over two decades of selection in the …
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Genomic Selection, Quantitative Trait Loci and Genome-Wide Association Mapping for Spring Bread Wheat (Triticum aestivum L.) Improvement
… controlled by many QTL with small effects. Genomic selection (GS) is suggested to overcome the limitation of MAS and improve genetic gain of quantitative traits. GS is a type of MAS that estimates the effects of genome-wide markers to calculate genomic estimated breeding values (GEBVs) for …
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Agronomic and marker-assisted breeding strategies for improving nitrogen use efficiency in maize
… with the environment, ii) identify the genomic prediction accuracy of different N-use traits and their application in maize NUE breeding programs, iii) understand the relative merits of important agronomic factors (e.g. N stress tolerance, yield response to N fertilizer, crowding stress …
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The role of genomic selection and advanced statistical modeling in domesticating perennial sorghum
… water scarcity, and resource limitations. Genomic prediction (GP) is a crucial tool for accelerating the selection process in breeding perennial sorghum for key domestication and perenniality traits. The goal of the research presented in this dissertation is to assess and implement the most …
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Optimizing GWS and GWAS in crop breeding
… the effective selection of clones, through genomic prediction (GP). GP leads to more accurate predictions of the individual’s merit for the traits of interest. Genome- wide association studies (GWAS) have also been widely used, it aims to identify causal variants to detect significant …
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Quantitative genetic analysis of maize organogenesis
… to share many of the same regulating genomic components. Insights into the genes regulating leaf, ear, and tassel morphology have implications for our understanding of pleiotropy, translating to knowledge on their genomic architectures. This thesis's two core focuses are to i) develop …
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Machine learning analytics for predictive breeding
<p>Prediction accuracies of genomic selection methods are affected by the quality of the phenotypic and genotypic data and by the use of appropriate analytic models in the training sets. This research focuses on the impact of data quality for ordinal traits. Ordinal scores of traits are typical for …
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Characterising antibiotic susceptibility and resistance in human commensal gut bacteria
… resistance, not detected by several genome-based prediction methods, in diverse bacterial species from the human gastrointestinal tract. 178 antibiotic resistance genes and mutations were identified in a culture collection of 737 phylogenetically diverse gut bacteria from healthy humans. Recent …
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Genetic Variability of Growth and Development in Response to Nitrogen in Two Soft Winter Wheat Populations
… for EUN in wheat. Using cross validation, a genomic prediction accuracy of 0.68 for intercept and 0.50 for slope was found, indicating that EUN is under genetic control and can be selected for. The prospect of breeding for EUN under limited resources, i.e., using fewer N rates and fewer …
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Bayesian optimization with Gaussian processes: Insights from hyperspectral trait search
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-12-01
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EXAMINING THE GENETIC BASIS AND PHYSIOLOGY OF SURVIVAL IN EXTREME LOW SALINITY TO IMPROVE AQUACULTURE OF THE EASTERN OYSTER Crassostrea virginica
… 4, I performed genome mapping to investigate the genomic architecture of low salinity survival. Quantitative trait locus mapping and linkage disequilibrium analysis revealed a significant region on eastern oyster chromosome 1 and 7. Genomic prediction accuracies for survival and day to death in …
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The Genetic Architecture of Grain Quality and its Temporal Relationship with Growth and Development in Winter Malting Barley (Hordeum vulgare)
… Results of a genome-wide association scan and genomic prediction of malt quality traits indicated that they are largely quantitative traits with complex inheritance. Previous studies have identified quantitative trait loci and genes regulating malt quality traits in markedly different …
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Genomic improvement of nitrogen utilization efficiency in maize
… phenotyping was sufficient to support the use of genomic tools to increase NUtE in maize. Among many quantitative trait loci (QTL) detected in a prior genetic mapping experiment, nine robust intervals were determined to account for 5-15% of variation for multiple nitrogen utilization traits across …
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DISSECTING THE POLYGENIC LANDSCAPE OF HUMAN COMPLEX TRAITS AND DISEASES IN A SOUTHERN ITALIAN COHORT
… risk and to evaluate its potential for improving prediction models with applications in precision medicine and public health. In the first part, genome-wide association analyses of quantitative traits showed overall consistency with findings from other European populations, while also revealing …
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