Dylan Larkin
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View article: Utilizing Multivariate Genomic Prediction to Predict Wheat Spike Characteristics in Soft Red Winter Wheat (<scp><i>Triticum aestivum</i></scp> L.)
Utilizing Multivariate Genomic Prediction to Predict Wheat Spike Characteristics in Soft Red Winter Wheat (<span><i>Triticum aestivum</i></span> L.) Open
Genomic prediction (GP) can increase genetic gain by allowing for the selection of traits earlier in the breeding cycle. Spike morphology traits are of interest because of their relationship with grain yield. To better understand the predi…
View article: Phenotyping and predicting wheat spike characteristics using image analysis and machine learning
Phenotyping and predicting wheat spike characteristics using image analysis and machine learning Open
Improvements in trait phenotyping are needed to increase the quantity and quality of data available for genetic improvement of crops. In this study, we used moderate throughput image analysis and machine learning as a pipeline for phenotyp…
View article: Multivariate genomic selection models improve prediction accuracy of agronomic traits in soft red winter wheat
Multivariate genomic selection models improve prediction accuracy of agronomic traits in soft red winter wheat Open
Univariate genomic selection (UVGS) is an important tool for increasing genetic gain and multivariate GS (MVGS), where correlated traits are included in genomic selection, which can improve genomic prediction accuracy. The objectives for t…
View article: Predicting Fusarium Head Blight Resistance for Advanced Trials in a Soft Red Winter Wheat Breeding Program With Genomic Selection
Predicting Fusarium Head Blight Resistance for Advanced Trials in a Soft Red Winter Wheat Breeding Program With Genomic Selection Open
Many studies have evaluated the effectiveness of genomic selection (GS) using cross-validation within training populations; however, few have looked at its performance for forward prediction within a breeding program. The objectives for th…
View article: Phenotyping Anther Extrusion of Wheat Using Image Analysis
Phenotyping Anther Extrusion of Wheat Using Image Analysis Open
Phenotyping wheat (Triticum aestivum L.) is time-consuming and new methods are necessary to decrease labor. To develop a heterotic pool of male wheat lines for hybrid breeding, there must be an efficient way to measure both anther extrusio…
View article: Genotype File for TP19 and ADV19
Genotype File for TP19 and ADV19 Open
Genotypic Hapmap file containing genetic information for the 2019 training population and Advanced 2019 nursery.
View article: Genotype File for TP18 and ADV18
Genotype File for TP18 and ADV18 Open
Genotype Hapmap file containing genotypic information for the 2018 training population and Advanced 2018 nursery.
View article: Improving Breeding Program Efficiency and Genetic Gain Through the Implementation of Genomic Selection in Diverse Wheat Germplasm
Improving Breeding Program Efficiency and Genetic Gain Through the Implementation of Genomic Selection in Diverse Wheat Germplasm Open
Genomic selection (GS) is an important tool for increasing genetic gain for economically important traits in breeding programs. Genomic selection uses molecular markers across the entire genome in order to predict the performance of breedi…
View article: Genomic Selection—Considerations for Successful Implementation in Wheat Breeding Programs
Genomic Selection—Considerations for Successful Implementation in Wheat Breeding Programs Open
In order to meet the goal of doubling wheat yield by 2050, breeders must work to improve breeding program efficiency while also implementing new and improved technologies in order to increase genetic gain. Genomic selection (GS) is an expa…