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Additional file 1 of Precise high-throughput online near-infrared spectroscopy assay to determine key cell wall features associated with sugarcane bagasse digestibility

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posted on 2021-05-30, 03:26 authored by Xinru Li, Fumin Ma, Chengping Liang, Maoyao Wang, Yan Zhang, Yufei Shen, Muhammad Adnan, Pan Lu, Muhammad Tahir Khan, Jiangfeng Huang, Muqing Zhang
Additional file 1: Figure S1. Prediction performance of the obtained equation during integrative online modeling. A-C: Calibration for (A) cellulose crystallinity, (B) lignin clean mass content in dry biomass, and (C) lignin proportion in the cell wall. D-F: Internal cross-validation for (D) cellulose crystallinity, (E) lignin clean mass content in dry biomass, and (F) lignin proportion in the cell wall. ASL, acid-soluble lignin; AIL, acid-insoluble lignin. Table S1. Statistics for different collections of sugarcane samples from the NIRS modeling. Table S2. Variation in cell wall features in the collected sugarcane population. Table S3. Near-infrared spectra pretreatment process for modeling.

Funding

Science and Technology Major Project of Guangxi Scientific Research and Technology Development Program of Guangxi State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources National Natural Science Foundation of China Earmarked Fund for Modern Agro-industry Technology Research System Science and Technology Talent Special Project of Guangxi

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    Biotechnology for Biofuels

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    Keywords

    Sugarcane bagasseCell wallBiomass digestibilityNIRSCellulose crystallinityLignin

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