New Tools for Developing Improved Sorghum Hybrids
Abstract
The genetic yield potential in grain sorghum [Sorghum bicolor (L.) Moench] hybrids has increased at a slower rate than other cereal crops. Advances in new technology provide opportunities for breeders to enhance selection accuracy and throughput efficiency of new germplasm to bolster rates of genetic gain. In this thesis, Genotyping-By-Sequencing was used to analyze the structure of heterotic groups in sorghum and access the relationship between the genetic similarity of parental lines and heterosis. Three distinct groups of germplasm in the Texas A&M sorghum breeding program were found through K-means clustering that closely aligned with functional classification as B-lines, R-lines, and forage lines. Forage lines exhibited the greatest range of genetic diversity followed by R-lines, then B-lines. Significant heterosis was observed for grain yield, plant height, days to flower, and panicle exsertion; yet, estimates of genetic similarity were not a good predictor of heterosis or hybrid performance amongst elite Texas A&M sorghum inbred lines. However, some parental inbred performance measurements may be predictive of hybrid performance. Additionally, in this thesis, a phenotyping pipeline was developed utilizing CT imaging to quantify three-dimensional structural characteristics from grain sorghum caryopses which can then be related to end-use quality. It was possible to accurately classify 19 sorghum genotypes based on CT-derived estimates of embryo volume, endosperm hardness, endosperm texture, endosperm volume, pericarp volume, and kernel volume.
Subject
Genotype-By-SequencingHeterosis
Prediction
X-ray Computed Tomography
Grain Quality
Machine Learning
Citation
Crozier, Daniel Shaw (2020). New Tools for Developing Improved Sorghum Hybrids. Master's thesis, Texas A&M University. Available electronically from https : / /hdl .handle .net /1969 .1 /192239.