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A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy
BACKGROUND: Sugarcane (Saccharum officinarum L.) is an economically important crop with stalks as the harvest organs. Improvement in stalk quality is deemed a promising strategy for enhancing sugarcane production. However, the lack of efficient approaches for systematic evaluation of sugarcane germp...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8278626/ https://www.ncbi.nlm.nih.gov/pubmed/34256789 http://dx.doi.org/10.1186/s13007-021-00777-8 |
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author | Wang, Maoyao Li, Xinru Shen, Yinjuan Adnan, Muhammad Mao, Le Lu, Pan Hu, Qian Jiang, Fuhong Khan, Muhammad Tahir Deng, Zuhu Chen, Baoshan Huang, Jiangfeng Zhang, Muqing |
author_facet | Wang, Maoyao Li, Xinru Shen, Yinjuan Adnan, Muhammad Mao, Le Lu, Pan Hu, Qian Jiang, Fuhong Khan, Muhammad Tahir Deng, Zuhu Chen, Baoshan Huang, Jiangfeng Zhang, Muqing |
author_sort | Wang, Maoyao |
collection | PubMed |
description | BACKGROUND: Sugarcane (Saccharum officinarum L.) is an economically important crop with stalks as the harvest organs. Improvement in stalk quality is deemed a promising strategy for enhancing sugarcane production. However, the lack of efficient approaches for systematic evaluation of sugarcane germplasm largely limits improvements in stalk quality. This study is designed to develop a systematic near-infrared spectroscopy (NIRS) assay for high-throughput phenotyping of sugarcane stalk quality, thereby providing a feasible solution for precise evaluation of sugarcane germplasm. RESULTS: A total of 628 sugarcane accessions harvested at different growth stages before and after maturity were employed to take a high-throughput assay to determine sugarcane stalk quality. Based on high-performance anion chromatography (HPAEC-PAD), large variations in sugarcane stalk quality were detected in terms of biomass composition and the corresponding fundamental ratios. Online and offline NIRS modeling strategies were applied for multiple purpose calibration with partial least square (PLS) regression analysis. Consequently, 25 equations were generated with excellent determination coefficients (R(2)) and ratio performance deviation (RPD) values. Notably, for some observations, RPD values as high as 6.3 were observed, which indicated their exceptional performance and predictive capability. CONCLUSIONS: This study provides a feasible method for consistent and high-throughput assessment of stalk quality in terms of moisture, soluble sugar, insoluble residue and the corresponding fundamental ratios. The proposed method permits large-scale screening of optimal sugarcane germplasm for sugarcane stalk quality breeding and beyond. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-021-00777-8. |
format | Online Article Text |
id | pubmed-8278626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82786262021-07-14 A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy Wang, Maoyao Li, Xinru Shen, Yinjuan Adnan, Muhammad Mao, Le Lu, Pan Hu, Qian Jiang, Fuhong Khan, Muhammad Tahir Deng, Zuhu Chen, Baoshan Huang, Jiangfeng Zhang, Muqing Plant Methods Research BACKGROUND: Sugarcane (Saccharum officinarum L.) is an economically important crop with stalks as the harvest organs. Improvement in stalk quality is deemed a promising strategy for enhancing sugarcane production. However, the lack of efficient approaches for systematic evaluation of sugarcane germplasm largely limits improvements in stalk quality. This study is designed to develop a systematic near-infrared spectroscopy (NIRS) assay for high-throughput phenotyping of sugarcane stalk quality, thereby providing a feasible solution for precise evaluation of sugarcane germplasm. RESULTS: A total of 628 sugarcane accessions harvested at different growth stages before and after maturity were employed to take a high-throughput assay to determine sugarcane stalk quality. Based on high-performance anion chromatography (HPAEC-PAD), large variations in sugarcane stalk quality were detected in terms of biomass composition and the corresponding fundamental ratios. Online and offline NIRS modeling strategies were applied for multiple purpose calibration with partial least square (PLS) regression analysis. Consequently, 25 equations were generated with excellent determination coefficients (R(2)) and ratio performance deviation (RPD) values. Notably, for some observations, RPD values as high as 6.3 were observed, which indicated their exceptional performance and predictive capability. CONCLUSIONS: This study provides a feasible method for consistent and high-throughput assessment of stalk quality in terms of moisture, soluble sugar, insoluble residue and the corresponding fundamental ratios. The proposed method permits large-scale screening of optimal sugarcane germplasm for sugarcane stalk quality breeding and beyond. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-021-00777-8. BioMed Central 2021-07-13 /pmc/articles/PMC8278626/ /pubmed/34256789 http://dx.doi.org/10.1186/s13007-021-00777-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wang, Maoyao Li, Xinru Shen, Yinjuan Adnan, Muhammad Mao, Le Lu, Pan Hu, Qian Jiang, Fuhong Khan, Muhammad Tahir Deng, Zuhu Chen, Baoshan Huang, Jiangfeng Zhang, Muqing A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy |
title | A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy |
title_full | A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy |
title_fullStr | A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy |
title_full_unstemmed | A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy |
title_short | A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy |
title_sort | systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8278626/ https://www.ncbi.nlm.nih.gov/pubmed/34256789 http://dx.doi.org/10.1186/s13007-021-00777-8 |
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