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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
High-Throughput Profiling of the Fiber and Sugar Composition of Sugarcane Biomass
Bioenergy Research, Volume 10, No. 2, Year 2017
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Description
Lignocellulosic biomass from sugarcane (Saccharum spp. hybrids) could potentially be a major feedstock for second-generation biofuel production. Consequently, selecting sugarcane varieties with favorable biomass characteristics, typically less enzymatic recalcitrance and better saccharification yield without sugar-yield penalty, will be important in sugarcane breeding. Economical and high-throughput techniques for profiling the major biomass components of this complex system will facilitate selection of clones with ideal lignocellulosic composition from large numbers of genotypes in breeding programs. We used a combined high-throughput profiling approach to evaluate the biomass composition of samples from a sugarcane germplasm collection. This employed near-infrared (NIR) spectroscopy for fiber characterization and high-performance liquid chromatography (HPLC) for determining the sugar content in juice. The results for 331 samples, from a diverse sugarcane population of 186 genotypes, derived from 143 parents of different genetic backgrounds, showed that high-quality NIR spectroscopic predictions were feasible for cellulose, hemicellulose, lignin, and extractives values in fiber, and sugars in juice were suitably analyzed by HPLC. The analysis of total biomass indicated that this NIR- and HPLC-based high-throughput method allowed a robust phenotypic assessment of a large number of samples for the key biomass traits in the sugarcane system, including total dry biomass, fiber, sugar content, and theoretical ethanol yields, and could potentially become the method of choice for sugarcane germplasm screening in breeding programs targeting the support of biofuel production. © 2016, The Author(s).
Authors & Co-Authors
Hoang, Nam V.
Australia, Brisbane
The University of Queensland
Viet Nam, Hue
Hue University
Furtado, Agnelo
Australia, Brisbane
The University of Queensland
Botha, F. C.
Australia, Brisbane
The University of Queensland
Australia, Indooroopilly
Sugar Research Australia
Henry, Robert J.
Australia, Brisbane
The University of Queensland
Statistics
Citations: 29
Authors: 4
Affiliations: 3
Identifiers
Doi:
10.1007/s12155-016-9801-8
ISSN:
19391234
Research Areas
Genetics And Genomics
Study Design
Cross Sectional Study