Thesis - Open Access
Master of Science (MS)
Agronomy, Horticulture, and Plant Science
GE Interaction, Quality, Wheat
Hard Red Spring Wheat (HRSW; Triticum aestivum L.) is characterized by generally high protein content and excellent baking and milling performance. The ability for millers, bakers, and other end-users of wheat to properly and cheaply produce food products with uniformity is dependent on the quality consistency of wheat produced by breeders and farmers. Determining how production years and locations influenced enduse quality traits will assist breeders, agronomists, and growers, in understanding which hard red spring wheat (HRSW; Triticum aestivum L.) varieties are least susceptible to quality fluctuations, and therefore, most desirable to end-users. In order to determine which varieties were more consistent in certain locations, analyses on how end-use quality fluctuates in specific locations were conducted. The analyses were completed on an unbalanced dataset represented by one thousand four hundred and twenty-three HRSW samples. These samples were from seven years and thirty-eight counties throughout South Dakota comprised of twelve varieties and were evaluated for twenty-one traits and variables from common screening methods. The averages and trends for each trait for the varieties, counties, and years were reported. To overcome the analytical challenges with incomplete datasets, Pearson correlation coefficients, variance component estimation and heritability using a genotype-by-location-by year (GLY) linear mixed model, along with biplot analysis for megaenvironment evaluation using singular value decomposition (SVD) analysis were completed for 21 end-use quality traits. Predicted estimates from the adjusted unbiased prediction approach (AUP) and biplot analysis, determined that Briggs, Steele-ND, and Barlow varieties resulted in the best end-use quality wheat for most of the counties represented in South Dakota. This study also revealed the higher end-use quality, in regard to protein, gluten, and rheological traits, effect for counties in the North Central and North West USDA crop reporting districts in South Dakota, in particularly Faulk, Beadle, and Hutchinson. The results of the combination of biplots and variance component estimation is that traits are more variable between years and varieties as compared to the counties. This indicates that specific county effects are not large enough to ignore the importance of selecting the proper variety and testing it in multiple years.
South Dakota State University
In Copyright - Non-Commercial Use Permitted
Merrick, Lance, "Quality Evaluations of Hard Red Spring Wheat Grown in South Dakota" (2019). Electronic Theses and Dissertations. 3165.