https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23091 Wed 11 Apr 2018 11:37:20 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45635 Wed 02 Nov 2022 15:10:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33857 Setaria viridis and its close domesticated relative Setaria italica have been chosen as suitable monocotyledonous models for plants possessing the C₄ pathway of photosynthesis including sorghum, maize, sugarcane, switchgrass and Miscanthus×giganteus. Accurate partial least squares regression (PLSR) models to predict S. italica stem composition have been generated, based upon Fourier transform mid-infrared (FTIR) spectra and calibrated with wet chemistry determinations of ground S. italica stem material measured using a modified version of the US National Renewable Energy Laboratory (NREL) acid hydrolysis protocol. The models facilitated a high-throughput screening analysis for glucan, xylan, Klason lignin and acid soluble lignin (ASL) in a collection of 183 natural S. italica variants and clustered them into classes, some possessing unique chemotypes. The predictive models provide a highly efficient screening tool for large scale breeding programs aimed at identifying lines or mutants possessing unique cell wall chemotypes. Genes encoding key catalytic enzymes of the lignin biosynthesis pathway exhibit a high level of conservation with matching expression profiles, measured by RT-qPCR, among accessions of S. italica, which closely mirror profiles observed in the different developmental regions of an elongating internode of S. viridis by RNASeq.]]> Thu 21 Oct 2021 12:52:27 AEDT ]]>