Introduction

The sugary juice pressed from the stalks of sweet sorghum (Sorghum bicolor (L.) Moench) is traditionally boiled to produce a sweet edible syrup (Winberry 1980). It also has potential uses for biofuel production (Davila-Gomez et al. 2011; Hills et al. 1990) and in the manufacturing of other ‘bio-based’ products (Andrzejewski et al. 2013). There is a need to develop improved sweet sorghum cultivars, particularly hybrids, but environmental factors such as planting date can influence selection of superior cultivars. Thus, in 2015, we conducted a sorghum cultivar by planting date study at Tifton, GA, in which 23 mostly sweet inbred and hybrid entries were planted in April, May, and June (Knoll et al. 2018). At maturity, juice samples were collected in order to investigate chemical properties of the juice and to develop rapid chemical detection techniques. Such techniques could hasten selection for development of superior sweet sorghum cultivars. Fluorescence excitation-emission spectrophotometry with parallel factor analysis (EEM/PARAFAC) was utilized to identify three fluorescent chemical fingerprints in sorghum juice: a tyrosine-like, a tryptophan-like, and an aromatic fingerprint representing polyphenolic structures (Uchimiya et al. 2017a). Correspondingly, we have also developed cyclic voltammetry (CV) techniques to explore the electrochemical properties of sorghum juice (Uchimiya et al. 2017b). In addition to traditional high-performance liquid chromatography (HPLC), these techniques were used to identify differences in chemical properties across cultivars and planting dates (Uchimiya et al. 2017a, b).

During the course of this experiment, approximately late June 2015 the sugarcane aphid [Melanaphis sacchari (Zehntner)], a new insect pest of sorghum in North America, began to infest the sorghum plots. Infested plots were observed in the late summer of 2014, but 2015 was the first full growing season with this pest widespread in Georgia. Sugarcane aphid populations can build quickly, and damage symptoms include leaf discoloration and desiccation, delayed flowering, and reduced yields (Bowling et al. 2016). Sugarcane aphid infestation can also cause reductions in grain quality (Bowling et al. 2016; Singh et al. 2004) but its effects on sweet sorghum juice quality have not been well studied.

In North America the sugarcane aphid genotype that infests sorghum (known as multi-locus lineage F (MLL-F); Nibouche et al. 2018) does not survive well on sugarcane (Saccharum spp.) (Paudyal et al. 2019). However, it does overwinter on Johnsongrass [S. halepense (L.) Pers.] and volunteer or ratoon sorghum in regions where temperatures remain above freezing (Bowling et al. 2016). They have also been reported on Columbus grass (S. × almum Parodi) (Paudyal et al. 2019) and giant miscanthus [M. × giganteus (Greef et Deu ex. Hodkinson et Renvoize)] (Harris-Shultz and Ni 2021). In the spring, alates (winged aphids) migrate north to infest the new sorghum crop (Bowling et al. 2016). Thus, in temperate regions early planting has been suggested as one strategy to minimize damage from sugarcane aphid (Szczepaniec 2018; Haar et al. 2019; Seiter et al. 2019), as chemical control options for this pest are limited, particularly in sweet sorghum. The planting date study at Tifton, GA was thus repeated in 2016 and 2017 to determine if planting date could indeed be altered to avoid aphid damage. Each year (2015–2017) sorghum was planted in April, May, and June and each year the sugarcane aphids arrived in mid to late June. This was followed by a sharp population increase over several weeks in July, and then a rapid population collapse, which appears to be caused by a fungal entomopathogen (Haar et al. 2018), resulting in the aphids mostly disappearing by August each year. As a result of the aphid population collapse, which typically occurred prior to flowering of the June-planted crop, this last planting consistently suffered less damage than the earlier two plantings (Knoll et al. 2019).

In our breeding nursery in 2015 we observed strong sugarcane aphid resistance in an Ethiopian landrace called No. 5 Gambela (PI 257599), thus we added this accession to the planting date experiments in 2016 and 2017. It was observed that the juice of this cultivar accumulated the greatest concentrations of trans-aconitic acid, as well as quercetin-like polyphenolic secondary metabolites, compared to the other 23 cultivars (Uchimiya and Knoll 2018, 2019a). In the 2017 planting date study, a negative correlation between aphid damage rating and juice trans-aconitic acid concentration was also observed, suggesting a possible role of this metabolite in aphid tolerance or resistance (Uchimiya and Knoll 2019a).

In the current study we utilized all available data from the three-year planting date study to correlate juice chemical traits with sugarcane aphid population (as cumulative aphid days) or visual damage ratings. The purpose was to determine which chemical traits of sorghum juice are most affected by sugarcane aphid (or vise-versa). The most important chemical traits were then subjected to a cultivar stability analysis (Eberhart and Russell 1966) to determine which cultivars, if any, respond differently to changing environments, with the major environmental constraint assumed to be the level of aphid infestation and damage. The goals of this work were to identify aphid-tolerant germplasm or sweet sorghum cultivars and possible biochemical aphid defense markers or mechanisms for further study.

Materials and methods

Field experiment and juice collection

The field experimental design has been described in detail previously (Uchimiya et al. 2017a, b; Uchimiya and Knoll 2018). Briefly, each year (2015, 2016, and 2017) a split-plot experiment with three replications was conducted at Tifton, GA, USA (31°30ʹN, 83°32ʹW) in which planting date (April, May, or June; referred to as Plantings 1, 2, and 3, respectively) served as the main plot factor with 23 sorghum cultivars (inbred lines and derived hybrids) randomly arranged as sub-plots. The inbred cultivars were: Atlas (PI 641807), Chinese, Dale (PI 651495; Broadhead and Coleman 1973), Isidomba (PI 144331), N98 (PI 535783), N109B (PI 535794), N110B (PI 535795), and N111B (PI 535796; Gorz et al. 1990). The hybrids included all possible crosses between the first five inbred lines and the A-line (male-sterile) versions of N109, N110, and N1111. These accessions all have juicy stems (approx. 70% moisture) and are capable of attaining Brix of around 14°Bx or higher (Knoll et al. 2018). In 2016 and 2017 the sugarcane aphid-resistant landrace No. 5 Gambela (PI 257599) was added, for a total of 24 entries. Sugarcane aphid damage was rated on a 1–9 scale of increasing damage severity, as described by Sharma et al. (2014), where 1 indicates no damage and 9 indicates dead, or nearly dead, plants. Damage was rated on two to seven occasions for each plot, beginning when significant aphid population growth was observed and continuing every two weeks until juice collection. In 2016 and 2017 aphid population was rated at the same times as damage. Aphid population was rated on a semi-logarithmic scale: 0 aphids leaf−1, 25 aphids leaf−1, 50 aphids leaf−1, 100 aphids leaf−1, 500 aphids leaf−1, 1000 aphids leaf−1, and 5000 aphids leaf−1. The number of aphids was estimated on the lowest green leaf and the second leaf from the top of the plant, and an average of these was taken for analysis. Aphid days were calculated for each sampling period as the average number of aphids multiplied by the length of the sampling period (14 days). Cumulative aphid days for the season were then calculated by summing aphid days from all sampling periods (Ruppel 1983).

Juice was collected at the hard-dough stage of maturity (approximately 30 days after anthesis) by pressing three stripped stalks twice through a roller mill (Sor-Cane Porta Press, McClune Industries, Reynolds, GA). This mill extracts approximately 36% of the total stalk moisture as juice. The juice was immediately frozen for storage and shipment. Juice was collected for all three plantings in 2015 and 2017, and for the May planting only in 2016.

Juice chemistry

Frozen juice was sent to the USDA-ARS Southern Regional Research Center in New Orleans, LA, where chemical characterization procedures were conducted. Briefly, sugars and organic acids were quantified by HPLC. Total organic carbon (TOC) and total nitrogen (TN), in g L−1 of C and N, respectively, were measured by combustion and gas phase analyses. The pH, electric conductivity (EC), and reduction potential (Eh) of the juice samples were determined using dedicated electrodes. Specific instruments and procedures are described in detail by Uchimiya et al. (2017a, b) and Uchimiya and Knoll (2018). Fluorescence excitation-emission (EEM) spectra of juice samples at 220–500 nm excitation and 280–730 nm emission wavelengths were obtained with an F-7000 spectrofluorometer (Hitachi, San Jose, CA). Spectra were analyzed by a parallel factor analysis (PARAFAC) of data sets complied for the present study (93 core consistency). A detailed description of the EEM/PARAFAC procedure is given by Uchimiya et al. (2017a, b) and Uchimiya and Knoll (2018). Electrochemical properties of juice samples were examined by cyclic voltammetry (CV), as described by Uchimiya et al. (2017b) and Uchimiya and Knoll (2018). Areas under the anodic potential curves from CV experiments were modeled by Gaussian fitting, where the apex voltage was designated the peak anodic potential (Epa). Trapezoidal integration was separately performed to account for minor anodic peaks.

Statistical analyses

Statistical procedures were conducted using SAS v. 9.4 (SAS Institute, Cary, NC). Chemical data were analyzed by analysis of variance (ANOVA) using the GLIMMIX procedure, with cultivar, environment, and their interaction as fixed effects, where ‘environment’ refers to one of seven specific plantings (2015-1, 2015-2, 2015-3, 2016-2, 2017-1, 2017-2, and 2017-3) where chemical data were taken. Post hoc least squares (LS) means comparisons were conducted using Tukey’s HSD at α = 0.05. Due to differences in the number of sampling dates each year, the sugarcane aphid damage ratings were analyzed separately for each year with planting date, cultivar, and sampling date as fixed effects. The damage ratings were first converted to ranks using the SORT and RANK procedures. The ranks were then analyzed by repeated-measures ANOVA using the MIXED procedure. The resulting midrank values were converted to relative marginal effects (values between 0 and 1, inclusive) as described by Shah and Madden (2004). Cumulative aphid days were also analyzed by individual year, with planting date, cultivar, and their interaction as fixed effects, and were modeled using the lognormal distribution in the GLIMMIX procedure of SAS and are thus reported on the natural log (ln) scale.

Correlation analyses were conducted on the LS means in the CORR procedure of SAS to explore potential relationships between aphid damage rating (as relative marginal effects) or cumulative aphid days (ln scale) versus various juice chemical properties in the environments for which data were available. Separate correlations were calculated for each environment. Also, because cultivar No. 5 Gambela often had the most extreme chemical phenotype, and as an outlier could thus produce artificially high correlations, the correlation analyses were repeated without this cultivar and the results were compared.

Stability analysis was conducted as described by Eberhart and Russell (1966) in the GLM procedure of SAS as an analysis of covariance (ANCOVA). Cultivar × environment LS means were regressed against the environmental indexes (grand mean minus environmental mean), with cultivar as a class variable. Where there was a significant interaction between cultivar and environmental index, slopes (b) for each cultivar were calculated with ESTIMATE statements. A slope close to 1 indicates that a cultivar has an ‘average’ response to the environment, whereas a slope near zero indicates that a cultivar does not respond to changes in environmental conditions. By default, SAS performs a test on each slope to determine if it is significantly different from zero.

Results

Planting date and cultivar effects on sugarcane aphids

In each year of this experiment, the first planting received the highest mean damage rating, followed by the second planting, and the third planting received the lowest mean damage rating (Fig. 1), and all differences between plantings were significant. This appears to be a result of the aphid population collapse that occurred each year in August, prior to the average flowering date of the third planting, which has been previously reported (Knoll et al. 2019). Cumulative aphid days were measured in 2016 and 2017 (Figs. 2 and 3), and they partly reflect this trend. In 2016, the later planting resulted in numerically fewer cumulative aphid days (ln aphid days = 8.48, 8.27, and 7.94 in Plantings 1, 2, and 3, respectively), but the differences between plantings were not statistically significant (F = 1.33, p = 0.360). However, across all three plantings in 2016 there was a modest correlation between damage rating and cumulative aphid days (r = 0.574, p < 0.0001), and within each individual planting, damage rating and cumulative aphid days were strongly correlated (r ≥ 0.637, p < 0.0001; Fig. 2a). In 2017 mean cumulative aphid days were significantly lower in planting 3 (ln aphid days = 5.46) than in plantings 1 and 2 (ln aphid days = 9.64 and 8.98, respectively). Across all three plantings in 2017, damage rating and cumulative aphid days were strongly correlated (r = 0.912, p < 0.0001). Within individual plantings, these two variables were again correlated, except in the last planting, where they did not correlate because damage ratings were negligibly low for all cultivars (Fig. 2b).

Fig. 1
figure 1

Average sugarcane aphid damage ratings (expressed as relative marginal effects) for sorghum cultivars sown in April (Planting 1), May (Planting 2), and June (Planting 3), in years a 2015, b 2016, and c 2017 at Tifton, GA. Error bars represent approximate 99% confidence intervals; for clarity, only upper bars are shown

Fig. 2
figure 2

Linear relationships between cumulative aphid days (ln scale; x-axes) and sugarcane aphid damage ratings (relative marginal effects; y-axes) for 24 sorghum cultivars sown in April (Planting 1), May (Planting 2), and June (Planting 3), in years a 2016 (overall r = 0.574, p < 0.0001) and b 2017 (overall r = 0.912, p < 0.0001) at Tifton, GA. The aphid-resistant cultivar No. 5 Gambela is represented by triangles

Fig. 3
figure 3

Average cumulative aphid days (ln scale) for 24 sorghum cultivars sown in April (Planting 1), May (Planting 2), and June (Planting 3), in years a 2016 and b 2017 at Tifton, GA. Error bars represent approximate 95% confidence intervals; for clarity, only upper bars are shown

The various cultivars showed different levels of sugarcane aphid damage in all three years of the study, and interactions with planting date were significant. In 2015 the cultivars with the greatest damage included N109B, the inbred line Chinese, and hybrids of Chinese. Least damaged cultivars included Isidomba, Dale, and hybrids of Dale, though this varied somewhat by planting date as shown in Fig. 1a. Within the third planting, where overall damage was low, differences among cultivars were not significant. In 2016 and 2017, the aphid-resistant line No. 5 Gambela had consistently lower aphid damage ratings than most other cultivars in the first and second plantings. Cultivar damage rankings were less consistent between plantings in 2016 as shown in Fig. 1b, though Dale was still among the least damaged and Chinese and N109B among the most damaged. In 2016 cultivars No. 5 Gambela, Dale, and N98 were among those with the fewest cumulative aphid days on average, while N109B had the most (Fig. 3a). Interactions between cultivar and planting date were also significant in 2016 for cumulative aphid days (F = 1.87, p = 0.004). Damage ratings in 2017 were more similar to 2015 in that cultivars Dale, Isidomba, and their hybrids were again among the least damaged and Chinese and N109B were again among those with the greatest damage (Fig. 1c). Cumulative aphid days showed some numerical differences among cultivars, but they could not be separated statistically except within the third planting. Within Planting 3, cultivars N109A × N98 and N109A × Isidomba were among those with the greatest cumulative aphid days, whereas N110A × N98, N111A × N98, and N110A × Atlas had the least (Fig. 3b).

Relationships between sugarcane aphids and sorghum juice chemical properties

Significant environmental and cultivar effects were observed for most sorghum juice chemical properties. These have been reported previously (Uchimiya et al. 2017a,b; Uchimiya and Knoll 2018, 2019a, 2020) and are summarized in Supplemental Tables S1–S4. Correlation analyses revealed negative correlations between sugar-related traits and aphid damage ratings, particularly in the environments where aphid damage was high (Table 1). Glucose and fructose were significantly negatively correlated with aphid damage in 2015-1 and 2016-2 environments, and glucose was also negatively correlated in the 2015-2 planting. Sucrose showed negative correlations with aphid damage in planting 2015-2 as well as 2017-1 and 2017-2. Total sugars were significantly negatively correlated with aphid damage in four environments – 2015-1, 2015-2, 2017-1, and 2017-2. Brix, which measures total dissolved solids, was negatively correlated with aphid damage ratings in all environments except 2017-3 (Table 1 and Supplemental Fig. S2), when overall aphid damage was very low. Sugar traits were also negatively correlated with cumulative aphid days when the sugarcane aphid infestation was high (Table 2). Glucose and fructose were both correlated with aphid days in the 2016-2 environment, whereas sucrose and total sugars were correlated with aphid days in the 2017-1 and 2017-2 plantings. Brix also showed a significant negative correlation with aphid days in the 2016-2 and 2017-2 environments (Table 2).

Table 1 Pearson correlations (r) between aphid damage ratings (relative marginal effect) and various chemical properties of sorghum stem juice in seven environments
Table 2 Pearson correlations (r) between cumulative aphid days (ln scale) and various chemical properties of sorghum stem juice in four environments

Juice concentration of trans-aconitic acid also showed significant negative correlations with sugarcane aphid damage ratings and cumulative aphid days in heavily infested environments. trans-Aconitic acid and aphid damage ratings were moderately negatively correlated in the 2015-1 and 2015-2 environments (r = −0.493 and -0.564, respectively; Table 1 and Supplemental Fig. S2). In the 2017-1 and 2017-2 plantings trans-aconitic acid was strongly correlated with aphid damage rating (r = −0.788 and −0.798, respectively; Table 1 and Supplemental Fig. S2) and also moderately correlated with cumulative aphid days (r = −0.578 and −0.643, respectively; Table 2). Cultivar No. 5 Gambela had both the highest trans-aconitic acid and lowest damage rating in these environments and could be considered an outlier (Supplemental Fig. S2). Without No. 5 Gambela in the analysis, the correlations are still significant between damage and trans-aconitic acid (Table 1); however, the correlations between aphid days and trans-aconitic acid become non-significant (Table 2).

Fluorescence components from EEM/PARAFAC also showed some correlations with aphid damage and cumulative aphid days in some plantings. Most notably, the absolute loading of Component 3 (aromatic) was negatively correlated with aphid damage ratings in the 2016-2, 2017-1, and 2017-2 environments (Table 1), and it also correlated negatively with cumulative aphid days in plantings 2017-1, and 2017-2 (Table 2). The percentage of total fluorescence for Component 3 showed similar correlations (Table 1 and Supplemental Fig. S2). Component 2 (tyrosine-like), however, showed some positive correlations with aphid damage ratings in the 2015-1 and 2017-1 plantings (Table 1), and with cumulative aphid days in Plantings 2016-2 and 2017-2 (Table 2). Percentage of EEM/PARAFAC Component 2 was positively correlated with aphid damage in three environments – 2015-1, 2017-1, and 2017-2 (Table 1 and Supplemental Fig. S2), and with cumulative aphid days in the 2016-2, 2017-1, and 2017-2 plantings (Table 2). Again cultivar No. 5 Gambela could be considered an outlier based on extreme values. If it is excluded from the analysis, the correlations between Component 2 percentage and aphid damage in 2017-1 and 2017-2 environments are still significant (Table 1), as is the correlation between Component 2 percentage and cumulative aphid days in the 2017-2 planting (Table 2).

Cyclic voltammetry parameters did not correlate with aphid damage ratings in any environments in 2015; however, in the first two plantings of 2017, peak anodic potential (Epa), trapezoidal area, and Gaussian area were all negatively correlated with aphid damage ratings (Table 1) and cumulative aphid days (Table 2). Both trapezoidal and Gaussian peak areas were also negatively correlated with aphid damage ratings in 2016-2 (Table 1). The integrated peak areas (both Gaussian and trapezoidal) were not correlated with aphid days or damage when No. 5 Gambela was excluded, but peak anodic potential (Epa) remained significantly correlated with damage (Table 1).

Stability analysis

Chemical traits that showed strong correlations with sugarcane aphid damage were subjected to stability analysis to investigate the environmental responses of individual cultivars. For Brix, two cultivars (Dale and No. 5 Gambela) exhibited zero slopes (Table 3), indicating that these cultivars are able to maintain similar levels of Brix despite environmental changes, which in this study were dominated by the level of sugarcane aphid infestation. Sucrose and total sugars (Fig. 4a) showed a similar pattern, with the cultivars Dale, No. 5 Gambela, and Isidomba having zero slopes for these two traits. Monosaccharides (glucose and fructose) were more stable across environments than sucrose or total sugars. For glucose, seven cultivars had zero slopes and for fructose eight cultivars had zero slopes (Table 3). Four cultivars (Chinese, Dale, Isidomba, and No. 5 Gambela) had zero slopes for trans-aconitic acid. Cultivar No. 5 Gambela maintained a very high concentration of this compound in all four environments in which it was grown. Cultivars Dale and Isidomba maintained moderate levels of trans-aconitic acid, and the cultivar Chinese, though stable, had consistently low trans-aconitic acid concentration (Fig. 4b and Supplemental Table S1). The cultivar response of cyclic voltammetry parameters was more variable, with six cultivars having zero slope for trapezoidal peak area and two different cultivars having zero slope for Gaussian peak area (Table 3). Most fluorescence parameters from EEM-PARAFAC did not show a significant interaction between cultivar and environmental index, indicating that all cultivars responded similarly to environment with respect to these parameters. However, PARAFAC component 3, both percent and absolute, did show an interaction, but the only zero slopes were from the cultivar No. 5 Gambela (not shown).

Table 3 Slopes (b) from stability analysis for selected juice chemical traits in 23 sorghum cultivars grown in seven environments, or four environments for cultivar No. 5 Gambela, with varying levels of sugarcane aphid infestation
Fig. 4
figure 4

Stability analysis plots for a total sugars and b trans-aconitic acid concentration in stem juice of 24 sorghum cultivars planted in seven environments (indicated on the top of each graph). Cultivar No. 5 Gambela was only planted in four environments. Cultivars with zero slopes are indicated with colors (legend); all other cultivars are shown in gray

Discussion

Correlations among the various chemical traits of sorghum stem juice were previously reported for the 2015 data (Uchimiya and Knoll 2019b) and the 2017 data (Uchimiya and Knoll 2020). In general, the individual sugars, total sugars, Brix, trans-aconitic acid, and TOC were all positively correlated with one another. Other properties including EC, pH, and TN were negatively correlated with sugars, Brix, TOC, and trans-aconitic acid. The aromatic EEM component (No. 3) was generally positively correlated with sugar-related traits, whereas the protein-like EEM components (1 and 2) were negatively correlated with sugar-related traits.

Lower aphid damage in the late (June) plantings appears to be a consequence of not only fewer aphid days, but also timing of the infestation in relation to plant growth stage (Uchimiya and Knoll 2019b). After the collapse of the aphid population, it appears that the late-planted crop had sufficient time to recover, produce new growth, flower, and thus accumulate sugars in the stalk. The production of healthy new growth also led to overall lower visual damage ratings, which did not correlate with most juice chemical parameters in the 2015-3 and 2017-3 environments. Within heavily infested environments, the negative correlations between aphid damage or aphid days and sugar-related traits demonstrate that resistant or tolerant cultivars are able to maintain sugar production, whereas less tolerant cultivars show reduced sugar accumulation. This result is expected, as aphids feed from the phloem, extracting photosynthate directly from the plant. The reduction in overall photosynthesis caused by aphid feeding (Paudyal et al. 2020) further compounds the reduction in juice sugar content. Stability analysis confirms that the more tolerant cultivars (Dale, Isidomba, and No. 5 Gambela) maintained sucrose and total sugar accumulation despite varying levels of aphid infestation and damage. It is interesting to note that the hybrids derived from Isidomba and Dale did not maintain high sugar concentration across environments (their slopes were closer to 1). In this set of cultivars, the inbred cultivars typically flowered later than their hybrids (Knoll et al. 2018); so later flowering might appear to contribute to the stability in juice sugar concentration. However, the inbred line Atlas also flowered late, but it did not maintain high sugar concentration. Glucose and fructose only showed moderate correlations with aphid damage in some environments, and stability analysis indicated zero slopes for several cultivars. Monosaccharide concentration in sorghum stem juice appears to be less affected by sugarcane aphids than are total sugars and sucrose, which is the predominant sugar in mature stems. In young internodes, glucose and fructose are the predominant sugars, whereas sucrose accumulation begins when internode elongation is complete, and the sucrose cleavage activity of sucrose synthase decreases (Hoffmann-Thoma et al. 1996). Sucrose is produced in leaves and is transported via the phloem to the stem parenchyma, where it is unloaded and stored (Mizuno et al. 2016). Aphids feed from the phloem, directly removing sucrose before it reaches the stem.

Other juice components besides sugars were also correlated with aphid damage or cumulative aphid days. The strong negative correlations between trans-aconitic acid and sugarcane aphid damage ratings suggest that this molecule could play a role in the aphid tolerance exhibited by No. 5 Gambela and, to a lesser extent, other cultivars such as Isidomba and Dale. These three cultivars also maintained moderate to high levels of this compound across environments. A few previous reports in the literature provide evidence for trans-aconitic acid as a defensive phytochemical against aphids in various grass species, including sorghum (Rustamani et al. 1992a, b; Corcuera 1993).

Fluorescent chemical signatures identified by EEM/PARAFAC also showed some association with aphid damage or cumulative aphid days. Most notably, the percentages of Component 2 (tyrosine-like) and Component 3 (aromatic) showed opposite correlations. Correlations between aphid damage or aphid days and the percentage of Component 2 were positive, whereas those between aphid damage or aphid days and percentage of Component 3 were negative. Absolute values showed similar trends, but the correlations were not always significant. The polyphenolic (aromatic) structures detected in juice of No. 5 Gambela appear to be unique to this cultivar, at least among those in this study, and could play a significant role in the strong resistance to sugarcane aphid that is observed in this cultivar. Electrochemical parameters also showed correlations with aphid damage or aphid days in the 2017–1 and 2017–2 environments. A higher Epa value indicates electrochemically more recalcitrant structure of electron-donating (reductant) components in sorghum juice (Uchimiya and Knoll 2020). The negative correlation between Epa and aphid damage rating suggests multiple chemical pathways against aphids that include polyphenolic antioxidants. The shift in Epa indicates different chemical structures of reducing polyphenolic moieties (Uchimiya and Stone 2006). A higher voltage is required to oxidize the polyphenols in No. 5 Gambela than in the other tested cultivars, indicating more recalcitrant and conjugated structural composition. Previous research has demonstrated defensive properties of polyphenols such as apigeninidin, luteolinidin, and their derivatives against fungal infection, insects, and abiotic stress in sorghum (Lo et al. 1999; Dicko et al. 2005). Dreyer et al. (1981) also reported that the polyphenol procyanidin isolated from sorghum had anti-feeding activity against biotype C greenbug aphid (Schizaphis graminum) in a bioassay. These or similar compounds may also be active against sugarcane aphids in No. 5 Gambela, as stress-response pathways often overlap. Using a metabolomics approach, Tugizimana et al. (2019) identified changes in multiple pathways including flavonoid synthesis and tryptophan metabolism in sorghum in response to pathogen attack. In addition, molecules derived from the tryptophan pathway, such as gramine and benzoxazinones, are also known to function in plant defense against pathogens and insects (Kokubo et al. 2017), though these have not yet been identified in sorghum.

Conclusions

Sugarcane aphid damage ratings were found to correlate moderately with cumulative aphid days in most environments. Heavy feeding by sugarcane aphids was associated with reductions in Brix and concentrations of total sugars and TOC in sorghum stem juice. Under moderate-to-heavy infestation, the more resistant/tolerant cultivars (those with less visible damage – Dale, Isidomba, and No. 5 Gambela) were able to maintain higher total sugar content and sucrose than more susceptible cultivars. Monosaccharides (glucose and fructose) were less affected by sugarcane aphid damage. In some environments, very strong correlations were observed between aphid damage rating or cumulative aphid days and juice trans-aconitic acid concentration, suggesting that this metabolite may function as a general aphid tolerance mechanism in sorghum, or perhaps it could be used as a biochemical marker to select for tolerant cultivars. Further studies, such as bioassays, are needed to confirm the role of trans-aconitic acid in aphid resistance/tolerance and to determine the mechanism (i.e., antibiosis, antixenosis, or tolerance) of host resistance. Fluorescent and electrochemical juice properties also showed some correlations with aphid damage ratings and cumulative aphid days; however, these correlations were strongly influenced by the aphid-resistant control cultivar, No. 5 Gambela. It is not yet clear if these antioxidant molecules are responsible for the high level of sugarcane aphid resistance seen in this cultivar, but they offer opportunities for further investigation.