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Dissection Of Soil Waterlogging Tolerance In Soft Red Winter Wheat Using Genomic Approaches, Marlovi Andrea Acuna-Galindo
Dissection Of Soil Waterlogging Tolerance In Soft Red Winter Wheat Using Genomic Approaches, Marlovi Andrea Acuna-Galindo
Graduate Theses and Dissertations
Genomic methods including genome wide association analysis (GWAS), genomic selection (GS) and RNA-seq allow for faster selection of superior breeding lines and for identification and resolution of candidate genes. A panel of 240 soft red winter wheat (Triticum aestivum L.) cultivars and breeding lines were subjected to soil waterlogging stress over two seasons at Stuttgart, AR and St. Joseph, LA, US. Total concentrations of P, K, Ca, Mg, Mn, Fe, Al, B, Cu, Na, S and Zn were determined in wheat shoots post-waterlogging using inductively coupled plasma spectroscopy. Yield components kernel number per spike (KNPS), kernel weight per spike (KWS) …
An Evaluation Of Breeding, Agronomic, And Processing Methodologies Of Vegetable Soybean (Edamame) To Increase Domestic Production In The United States Market, David Octor Moseley
An Evaluation Of Breeding, Agronomic, And Processing Methodologies Of Vegetable Soybean (Edamame) To Increase Domestic Production In The United States Market, David Octor Moseley
Graduate Theses and Dissertations
Edamame is a food-grade soybean (Glycine max (L.) Merrill) that is either harvested immature (R6 stage) or after plant maturity (R8 stage). At R6, the premium product will have crescent- shaped large green pods and gray pubescence. At R8, the seed will either have stayed green or will have turned yellow, black, or brown. Edamame is a healthy snack with a sweet flavor and firm texture. The edamame market is growing in the United States, creating a need for more adapted varieties. The genetic diversity is low among adapted large-seeded breeding lines. Finding diverse accessions will help develop larger and …
Bayesian Network Modeling And Inference Of Gwas Catalog, Qiuping Pan
Bayesian Network Modeling And Inference Of Gwas Catalog, Qiuping Pan
Graduate Theses and Dissertations
Genome-wide association studies (GWASs) have received an increasing attention to understand genotype-phenotype relationships. The Bayesian network has been proposed as a powerful tool for modeling single-nucleotide polymorphism (SNP)-trait associations due to its advantage in addressing the high computational complex and high dimensional problems. Most current works learn the interactions among genotypes and phenotypes from the raw genotype data. However, due to the privacy issue, genotype information is sensitive and should be handled by complying with specific restrictions. In this work, we aim to build Bayesian networks from publicly released GWAS statistics to explicitly reveal the conditional dependency between SNPs and …