Location: Sugarcane Field StationTitle: Phenotyping of Association Mapping Panel of Sugarcane and Related Grasses Author
Submitted to: Plant and Animal Genome Conference Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: 12/6/2013
Publication Date: 1/13/2014
Citation: Todd, J.R., Glaz, B.S., Wang, J., Sood, S.G., Comstock, J.C. 2014. Phenotyping of Association Mapping Panel of Sugarcane and Related Grasses. Plant and Animal Genome Conference Proceedings. p. 184.
Technical Abstract: The genus Saccharum is an important species that is used for sugar and fuel. A diversity panel of Saccharum and related genera was created in Canal Point, FL to investigate important traits and later associate them with molecular markers for association mapping. The plants were transferred from the Miami World Collection of Sugarcane and Related Grasses in Miami, FL and 300 accessions and 10 checks were planted in containers in a randomized complete block design with three replications. The traits investigated were stalk height, stalk number, leaf chlorophyll content (SPAD), leaf chlorophyll florescence (LCF), Brix, and fresh weight. There were only a few significant weak correlations between traits that differed by population; for instance, LCF did not significantly correlate with any trait in the whole collection but did correlate with fresh weight in hybrids (0.323) and negatively with the same in S. spontaneum (-0.230). SPAD negatively correlated with stalk number (r=-0.402) and weakly correlated with Brix (r=0.116). Fresh weight had positive correlations with Brix (0.489) and height (0.252) but negative correlations with stalk number (-0.178) overall but positive in the S. officinarum subpopulation (0.330). Stalk number was also negatively correlated with Brix (-0.532). Height was positively correlated with Brix (0.167). All traits studied were significantly different across different genotypes. A principal component analysis was made and showed some differences between species populations. Differences in the data indicate that some QTLs could be population specific. These phenotypic data should be useful for bioenergy advancement and making associations with markers.