A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy

Abstract

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 (R2) 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.

A high-throughput method for precise phenotyping sugarcane stalk mechanical strength using near-infrared spectroscopy

“…The OPUS spectroscopy software (version 7.8, Bruker Optik GmbH, Germany) was used for data processing and NIRS calibration. As described by Wang et al [33], pretreatment and the wavelength range selection of the raw spectral data were performed before calibration to solve the problems associated with the overlapping peaks and baseline correction. Brie y, several spectral pretreatment methods were used in OPUS software, namely constant offset elimination (COE), straight-line subtraction (SSL), standard normal variate (SNV), Min-Max normalization (MMN), multiplicative scattering correction (MSC), rst derivative (FD), second derivative (SED), a combination of the rst derivative and straight-line subtraction (FD + SSL), a combination of the rst derivative and standard normal variate (FD + SNV), and a combination of the rst derivative and multiplicative scattering correction (FD + MSC).…”

“…Online near-infrared spectral data source After mechanical properties measurement, the collected six stalks of each genotype were used for nearinfrared spectral detecting. Sample pretreatment and data collection followed a standard pipeline as described in our previous studies [33]. In brief, sugarcane stalks were shredded using DM540 (IRBI Machines & Equipment Ltd, Brazil), and the shredded fresh sample was immediately transported to the CPS system (Cane presentation system, Bruker Optik GmbH, Germany) by a conveyor belt, where the nearinfrared spectral data of samples were online collected by MATRIX-F (Bruker Optik GmbH, Germany) system.…”

“…Such as high-throughput screening of plant biomass samples [28], quick and large-scale screen the target traits of crops [29], and analysis of multiple traits in crop breeding [30][31][32]. In our previous study, NIRS has been successfully applied for sugarcane stalk quality assessment in terms of moisture, soluble sugar, insoluble residue, and the corresponding fundamental ratios [33]. Besides, cell wall features calibration models have also been set up for related genetic development [34].…”

Phenotypic plasticity and genetic trends in the past 30 years of sugarcane genetic improvement in Louisiana

“…This suggests that the breeding program has exploited SB's responsiveness to the environment to increase the sugar yield over the last three decades with less attention to SC. In order to select SC efficiently on a large scale, a framework based on high throughput phenotyping and modern genomic tools may be beneficial and only recently became available (Wang et al., 2021). The setback of focusing heavily on plant cane SB is its tendency to prevent the release of varieties with different strategies to achieve high sugar yield, that is, genotypes with higher SC sensitivity or high SB sensitivity on the ratoon.…”

The predictive value of infrared thermal imaging (IRT) for peripheral artery disease: A systematic review

“…The technology was evaluated in diagnosing patients with PAD and for assessing foot perfusion during movement or response to or during treatments because it is simple to use for bedside measurements. [6] A non-contact instrument known as infrared thermography, infrared imaging, or thermal imaging maps the surface temperature of a body or an item. Its uses range from industrial condition monitoring to medical imaging.…”