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Article

Exploring Reactive Oxygen Species Accumulation in Allium fistulosum L. Seeds Exposed to Different Storage Conditions

1
Department of Plant Pathology, Seed Science and Technology, Faculty of Agriculture, Horticulture and Bioengineering, Poznan University of Life Sciences, 60-637 Poznan, Poland
2
Department of Biology and Biotechnology ‘L. Spallanzani’, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy
3
NeoruraleHub, Innovation Center Giulio Natta, Località Cascina Darsena, Giussago, 27010 Pavia, Italy
*
Authors to whom correspondence should be addressed.
Seeds 2024, 3(1), 123-132; https://doi.org/10.3390/seeds3010010
Submission received: 8 August 2023 / Revised: 18 January 2024 / Accepted: 1 February 2024 / Published: 9 February 2024

Abstract

:
The purpose of this work was to investigate the production of reactive oxygen species (ROS) in Allium fistulosum seeds stored under different conditions. Optimized seed storage conditions are essential to maintain seed viability, otherwise accumulation of ROS-induced oxidative damage can lead to seed aging. The A. fistulosum seed lots used in this study have been selected based on their breeding background and reproduction site. Seed samples were stored up to 22 months under six different conditions of temperature (25, 10, and 7.5 °C) and relative humidity (RH) (25% and 45% RH). A germination test and ROS quantification assay were performed on the samples collected after 12 and 22 months of storage, respectively. Within a time-window of 10 months, the tested seed lots evidenced a decrease in the germination rate associated with increased ROS levels. Correlation analysis also showed that ROS production was influenced by genotype. The reported data showed that ROS accumulation was dependent on the storage condition and genotype. Some of the tested seed lots appeared to be prone to ROS accumulation, independent of storage conditions. On the other hand, specific condition storages (25 °C, 25% RH; 25 °C, 45% RH; 10 °C, 25% RH; 7.5 °C, 25% RH) resulted in a lower impact on seed aging.

1. Introduction

The genus Allium includes approximately 850 species used for food and medicinal purposes [1,2]. The group includes onion (Allium cepa L.), garlic (Allium sativum L.), wild leek (Allium ampeloprasum L.), chive (Allium schoenoprasum L.), shallot (Allium ascalonicum L.), Welsh onion (Allium fistulosum L.), Chinese chive (Allium tuberosum Rottl. ex Spr.), leek (Allium porrum L.), and Jiaotou (Allium chinense G. Don), with all of them facing seed quality issues, including poor viability under storage conditions [3,4,5].
The Welsh onion (Allium fistulosum L.) (also called stone leek, Chinese onion, Chinese spring onion or Japanese bunching onion), less known than onion, is commercially produced in Japan, China and South Korea [6]. Recent studies have highlighted the added value of Welsh onion for applications in the context of plant disease protection. For instance, Tang et al. [7] demonstrated the ability of the mixed cropping of apple trees with A. fistulosum L. to alleviate apple replant disease. Similarly, Bian et al. [8] showed the beneficial effects of A. fistulosum planted with ginseng cultivation as well as the positive impact of and A. fistulosum cultivation in reducing soil salinity. When considering seed quality issues, to date there is still poor attention on Welsh onion. The germination rate and vigor index were significantly improved by applying smarming [9,10]; however, strong efforts are needed to overcome the current gap of knowledge on the cellular and molecular mechanisms underlying seed quality, and to find effective strategies to enhance germination and seedling resilience as well as seed longevity [11].
Long-term storage under sub-optimal conditions affects seed storability since progressive accumulation of oxidative damage impairs the function of lipid membranes and proteins, as well as compromising genome integrity. Genotoxic stress resulting from uncontrolled ROS accumulation determines DNA damage that needs to be repaired during the early phase of germination, which otherwise will fail [12]. The age-dependent dynamics of chromosomal instability were correlated with the germination of Welsh onion seeds stored for six years under room temperature (14–28 °C) and low temperature (4–9 °C), respectively, highlighting a temperature-dependent damage response [13,14]. A parallel study investigated the frequency of chromosome aberrations in root meristem cells of differently aged Welsh onion seeds subjected to γ-irradiation, underlining that the third year of storage was critical for genome integrity maintenance and seed longevity [15]. The use of accelerated ageing has provided useful information about the dynamics of Welsh onion seed deterioration, highlighting improved seed longevity under the following temperature and gas atmosphere conditions: 4 °C, argon/carbon dioxide; −6 °C, air/argon/nitrogen/carbon dioxide; and −18 °C, air [16].
Oxidative damage results from ROS accumulation; however, free radicals also play an essential role as signaling molecules at the onset of germination [17]. Given such a crucial role, ROS homeostasis can be monitored under different conditions in dry and imbibed seeds using dedicated assays [18,19]. In the present work, germination and ROS levels were investigated in A. fistulosum seed lots selected based on their breeding background and reproduction site and stored for 22 months under six different conditions of temperature and relative humidity relevant to the seed horticultural trade.

2. Materials and Methods

2.1. Materials, Storage Conditions and Germination Tests

The Allium fistulosum seed lots used in this study are listed in Table 1. They have been selected taking into consideration two main factors: the breeding background and the reproduction site. The first aspect included different genotypes identified on the seed market as cultivars, hybrids and open pollinated, or inbred breeding lines. The second aspect referred to the seed production site, both in the North and Southern Hemisphere, considered as optimal for Welsh onion seed multiplication [6]. Genotypes 271227, 251051, 250609 and 251533 are open pollinated (OP) cultivars developed by a Japanese breeding company with seed production located in Italy and Chile. Seed production for the two OP cultivars 1240694 and 1240695, originated by a Dutch breeding company, was localized in Italy and South Africa. The seeds of the only genotype bred by a South Korean company were produced in South Africa. All hybrid genotypes have been sourced through Japanese breeding companies and seed production has been carried out in Italy and Chile. The 17TSITGH03 seed lot was derived from a parental inbred male sterile (MS) line, used to obtain a hybrid cultivar and produced in Italy under greenhouse conditions. Once seeds of all the A. fistulosum genotypes reached the final stage of maturity, they were hand-harvested and subjected to artificial drying to reduce the seed moisture content to a range of 7–8% on a fresh weight basis. The samples showed a high germination percentage (>90%), as confirmed by preliminary germination tests. For storage, seed samples were placed into natural textile sacks, used in standard seed storage conditions. Samples were kept in six climatic chambers (CB-CS series, FDM-Environment Makers®, Rome, Italy). The range of controlled conditions spanned from 7.5 °C to 25 °C. The RH values tested in this work correspond to the optimal conditions (25% RH), recommended for vegetable seeds, and to the highest level (45% RH) that could be used. Seed samples were stored for 22 months under six different conditions, as shown in Table 2. Germination tests were conducted according to the International Seed Testing Association (ISTA) protocol, as follows. Seeds were previously pre-chilled at 5 °C for 4 d. Then, 4 replicates of 50 seeds (each placed in one 9 cm Petri dish) were placed on 6 layers of blotting paper and tested at 20 °C with a 16 h light and 8 h dark photoperiod. The first and the final counts were performed after 6 d and 12 d, respectively (Figure 1).

2.2. DCFH-DA Assay

The fluorogenic dye 2,7-dichlorofluorescein diacetate (DCFH-DA; Sigma-Aldrich, Milan, Italy) was used to measure ROS levels in seeds. The assay was carried out as described by Pagano et al. [18], with the following modifications. About 20 seeds (100 mg) were used for each sample, seed lot, and tested condition. Seed samples were incubated for 15 min with 100 mL of 10 mM DCFH-DA. Subsequently, the fluorescence sensor (at 517 nm) of the Rotor-Gene 6000 PCR apparatus (Corbett Robotics, Brisbane, QLD, Australia) was used to read the emitted fluorescence, setting the program for one cycle of 30 s at 25 °C. A sample containing only DCFH-DA was used as a negative technical control to subtract the baseline fluorescence. Data were expressed as relative fluorescence units (RFU). All measurements were performed in four technical and biological replicates for each sample/condition.

2.3. Statistical Analyses

Correlation analyses were carried out using ROS measurements (RFU) and germination percentage (%) data. The analyses were performed using the R package (version 3.5.2) [20] available online at https://gentilinidavide.shinyapps.io/correlation/ (URL accessed on 20 December 2023). The Pearson’s r value and significance p values are given for the combination of factors (ROS vs. germination). Moreover, graphical representations of correlation and Principal Component Analyses (PCA) were performed using the OriginPro, Version 2023b, OriginLab Corporation, Northampton, MA, USA. Graphical representation of the different results was produced using Excel graph tools, namely the Combo design to be able to represent all variables in a single graph that includes multiple axes. Germination and ROS data have been analyzed by one-way ANOVA and Tukey–Kramer test using the online software developed by Assaad et al. [20] available at https://houssein-assaad.shinyapps.io/TableReport (URL accessed on 20 December 2023).

3. Results

3.1. Germination of A. fistulosum Seed Lots Stored for 12 Months

The tested seed lots showed a high germination percentage (>90%), as confirmed by preliminary germination tests, carried out before the long-term storage (22 months). The analyses were started using seeds stored for 12 months once they had been fully equilibrated under the indicated RH. Results of the germination tests and ROS quantification are shown in Figure 2 and Table S1. Some of the tested varieties with the lowest germination percentage showed higher levels of ROS accumulation. This was revealed mainly for the BO07 and BO12 seed lots under storage conditions A (25 °C, 25% RH), B (25 °C, 45% RH), C (10 °C, 25% RH), and D (10 °C, 45%) (Figure 2). Similar responses were also observed under storage conditions E (7.5 °C, 25% RH) and F (7.5 °C, 45% RH). Altogether, seed lots BO07 and BO12 were highly affected by all the different storage conditions taken under consideration. Subsequently, correlation analyses were performed between the investigated parameters (Table 3). When considering the different varieties, significant negative correlations were evidenced between ROS and seed germination, as a measure of viability, suggesting that ROS levels are influenced by all of the tested storage conditions.

3.2. Germination of A. fistulosum Seed Lots Stored for 22 Months

A. fistulosum seed germination and ROS levels were evaluated after 22 months of storage (Figure 3, Table S1). Similar to the 12-month data, some of the samples characterized by a low germination percentage revealed increased ROS accumulation. Enhanced ROS accumulation was observed for the BO03 samples at all of the tested conditions. Similarly, this was also the case for sample BO14, except for condition F, where the highest values were registered from sample BO07. Specifically, this sample also showed ROS accumulation under storage conditions A (25 °C, 25% RH), B (25 °C, 45% RH), C (10 °C, 25% RH), E (7.5 °C, 25% RH) and F (7.5 °C, 45% RH). Similar profiles were observed for the BO12 sample, particularly under storage conditions A, B, C, D, and E. Thus, results of the analyses carried out after 22 months of storage showed that seed lot BO07 was affected by all the different storage conditions taken under consideration. No significant (p < 0.05) correlations were observed between germination and ROS levels (Table 4).

3.3. Integrative Data Analyses

To better understand the fluctuations in ROS levels and germination percentage along storage (22 months versus 12 months), data were represented as log2 of the ratio between the values recorded at 22 months and the values recorded at 12 months (Figure 4). As for ROS levels, the log2 (ROS22/ROS12) revealed a general increase over time (Figure 4a). When considering the different seeds lots, the highest log2 (ROS22/ROS12) values were recorded for BO13 (4.944, storage condition F), BO06 (4.716, storage condition F), and BO14 (4.657, storage condition D) (Figure 4a). Overall, seed lots BO05, BO11, and BO14 showed significantly higher log2 (ROS22/ROS12) in response to all the tested storage conditions. On the other hand, BO02 revealed a significant decrease in log2 (ROS22/ROS12) under storage conditions A, B, and C, as well as BO10 under storage condition A and E (Figure 4a). When considering germination percentage, mild decreases occurred. The highest impact in terms of log2 (Germ22/Germ12) was recorded under storage condition A for seed lots BO07 (−1.322), BO12 (−0.585), and BO02 (−0.534) (Figure 4b).
To provide an overall interpretation of data analyses, correlation analysis (including both storage intervals) and PCA were carried out (Figure 5). Regarding the correlation representation (Figure 5a), it is possible to observe the negative association between ROS and germination % (blue dots). Another interesting observation visible in this representation is the positive correlation between the germination data gathered at the different storage intervals. This may indicate that the different parameters (ROS, germination) influenced the distribution of the variables (genotypes, storage conditions). The two main principal components (PC1 and PC2) extracted accounted for 64.1% and 23.9% of the total variance, respectively (Figure 5b). Interestingly, while the values relative to germination are less different over time (taking into consideration the two storage intervals), ROS values were much more divergent. The samples that most contributed to this divergence were BO07 (yellow dots) and BO12 (dark green dots), in agreement with the presented data indicating that these genotypes were more affected by all the different storage conditions.

4. Discussion

The aim of the present work was to investigate the response of Welsh onion seeds of various origins, subjected to different storage conditions, by combining germination with the seed ability to produce ROS. The well documented pivotal role of ROS, both as signaling molecules and toxic agents during early seed imbibition [17], makes them valuable targets to monitor the seed pre-germinative metabolism, from priming to storage [12,18]. Increased lipid peroxidation, and reduced levels of antioxidants can occur in long-term storage [12]. Ideally, Welsh onion seeds can be stored for 5 to 15 years if maintained at 2 °C or for 15 to 50 years when conserved at −18 °C [6,11]. Such storage conditions are mostly used for germplasm conservation, but they are too expensive when used for seeds intended to be commercialized [6]. The selected temperature and relative humidity conditions investigated in this study (25 °C, 25% RH; 25 °C, 45% RH; 10 °C, 25% RH; 10 °C, 45% RH; 7.5 °C, 25% RH; 7.5 °C, 45% RH) fall under conditions used in most cases by seed companies to conveniently store their commercial seed stocks. The Allium species are among the shortest living vegetable species, able to survive only 1–2 years under storage [21]. In the present study, no seed deterioration was detected during the first year of storage; therefore, ROS analyses were started using seeds stored for 12 months, as ‘time zero’. Then, the comparison was made with seeds stored for 22 months.
ROS accumulation in Welsh onion dry seeds can provide some interesting information about the way different seed lots respond to different storage conditions and genetic backgrounds. The varieties with the lowest germination percentage showed a peak in ROS accumulation mostly after 12 months of storage, and ROS levels were further enhanced after 22 months of storage. However, the complex profiles of ROS accumulation hereby evidenced make it difficult to find a clear correlation with seed germinability under different storage conditions. One possible explanation of such variegated dynamics might relate to the type of assay used in this study to measure ROS levels. Indeed, there are different types of ROS that oxidize the DCFH substrate converting the compound into the fluorescent molecule DCF [18]. They include hydroxyl radicals (·OH), nitric oxide radicals (·NO2), hypochlorous acid (HOCl), products generated by peroxinitrite decomposition (ONOO-/ONOOH), and carboxyl ions (CO3·-) [17]. In the presence of bicarbonate, DCF rapidly interacts with O2 to form O2·- and the dismutation results in additional H2O2 accumulation. This can establish a redox-cycling mechanism leading to artifactual amplification of the fluorescence signal [18]. In addition, redox-active metals (Fe2+) promote DCFH oxidation in the presence of O2 and H2O2. The seed coat macromolecular composition must be also taken into consideration whereas additional analyses should be carried out, possibly applying other ROS quantification assays [18]. Based on the reported data on ROS accumulation profiles along storage, seed lots BO05, BO06, BO11, BO13, and BO14 showed a significant increase in ROS levels in response to all the tested storage conditions whereas seed lots BO02 and BO10 revealed a significant decrease under certain storage conditions. It is difficult to link the observed responses to the specific features of each seed lot. On the other hand, seed lots BO05, BO06, BO11, BO13, and BO14 appeared to be prone to ROS accumulation, independent of storage conditions. Seed lots BO02 and BO10 were less prone to ROS production, and this was particularly evident for storage conditions A, B, C, and E (25 °C, 25% RH; 25 °C, 45% RH; 10 °C, 25% RH; 7.5 °C, 25% RH).
The results of the present study underline the strong heterogenicity of the seed germinability as a result of both environmental and genetic components. It should be advisable to re-adjust storage conditions for the tested genotypes that were sensitive to storage while expanding these analyses to other seed lots of different production site, origin and cross type. Optimization of storage conditions currently requires combining an in-depth screening of different protocols with easy-to-manage laboratory tests that are able to provide, in short time, useful information about seed longevity. An ROS-based biochemical screening such as the one conducted in the present work might help with gaining a better understanding of the cellular mechanisms underlying storability. ROS accumulation in seeds can be also assessed by histochemical approaches, e.g., using DAB (3,3′-diaminobenzidine) staining, but the protocol is more laborious and, thus, less suitable for large-scale screening [18].

5. Conclusions

The search for effective indicators of poor seed storability, detected through assays seems like a proper strategy, while at the same time, seed technologists should continue their work to improve the current storage protocols, by refining parameters such as temperature, seed moisture content, and gaseous compositions of the storage atmosphere. Seeds from onion and onion-like varieties still represent a challenge for breeders and seed technologists, due to their storability. Given the complexity of the physiological mechanisms and molecular players involved in seed longevity, a comprehensive evaluation of these dynamics will require extensive studies at a multidisciplinary level. At the same time, efforts should be focused on exploring the impact of the storage protocols on the longevity of primed seeds, by screening hallmarks of seed deterioration such as ROS levels, lipid peroxidation and DNA damage. On the other hand, the environmental conditions during seed maturation of the mother plant dictate the initial quality of seed lots, before storage. Thus, at the company level, data concerning the origin and history of seed lots should also help operators in their management activities.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/seeds3010010/s1, Table S1: Germination and ROS data from samples stored for 12 and 22 months.

Author Contributions

Conceptualization, G.P., A.M., R.H., X.X. and A.B.; methodology, A.R., A.P., C.J.D. and A.M.; writing—original draft preparation, G.P. and A.B.; writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the University of Pavia Crowdfunding (UNIVERSITIAMO) campaign, ‘The other side of the seed’ (https://universitiamo.eu/en/campaigns/the-other-side-oftheseed/) (URL accessed on 20 December 2023).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All the data presented have been made available as tables and Supplemental Material.

Acknowledgments

Authors are grateful to Verdelab Bioscience© S.R.L. for the technical support concerning seed storage.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Results of germination test carried out on Welsh onion seeds according to ISTA rules. (a) Germination tray. (b) Welsh onion seedlings.
Figure 1. Results of germination test carried out on Welsh onion seeds according to ISTA rules. (a) Germination tray. (b) Welsh onion seedlings.
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Figure 2. Graphical representation of seed germination percentage and ROS levels for each storage condition ((af) Table 2), taking into consideration the combination of varieties (Table 1). Analyses were carried out after 12 months of storage. Germ, germination percentage; ROS, reactive oxygen species. Values are expressed as mean ± SD of four independent replications with 50 seeds for each replication. Germination and ROS data were analyzed by one-way ANOVA and Tukey–Kramer test. Means without common letters are significantly different (p < 0.05).
Figure 2. Graphical representation of seed germination percentage and ROS levels for each storage condition ((af) Table 2), taking into consideration the combination of varieties (Table 1). Analyses were carried out after 12 months of storage. Germ, germination percentage; ROS, reactive oxygen species. Values are expressed as mean ± SD of four independent replications with 50 seeds for each replication. Germination and ROS data were analyzed by one-way ANOVA and Tukey–Kramer test. Means without common letters are significantly different (p < 0.05).
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Figure 3. Graphical representation of seed germination percentage and ROS levels for each storage condition ((af), Table 2), taking into consideration the combination of varieties (Table 1). Analyses were carried out after 22 months of storage. Germ, germination percentage; ROS, reactive oxygen species. Values are expressed as mean ± SD of four independent replications with 50 seeds for each replication. Germination and ROS data were analyzed by one-way ANOVA and Tukey–Kramer test. Means without common letters are significantly different (p < 0.05).
Figure 3. Graphical representation of seed germination percentage and ROS levels for each storage condition ((af), Table 2), taking into consideration the combination of varieties (Table 1). Analyses were carried out after 22 months of storage. Germ, germination percentage; ROS, reactive oxygen species. Values are expressed as mean ± SD of four independent replications with 50 seeds for each replication. Germination and ROS data were analyzed by one-way ANOVA and Tukey–Kramer test. Means without common letters are significantly different (p < 0.05).
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Figure 4. Changes in ROS accumulation levels (a) and germination percentage (b) observed between 12 and 22 months of storage. ROS12, ROS levels assessed at 12 months of storage. ROS22, ROS levels assessed after 22 months of storage. Germ12, germination percentage assessed at 12 months of storage. Germ22, germination percentage assessed after 22 months of storage. Values are expressed as log2 of the ratio between the values recorded after 22 months of storage and the values recorded after 12 months of storage. Storage conditions are described in Table 2. Asterisks indicate statistically significant changes as assessed by Student’s t-test comparing the values recorded at the two time points. *, p < 0.05; **, p < 0.01; ***, p < 0.001.
Figure 4. Changes in ROS accumulation levels (a) and germination percentage (b) observed between 12 and 22 months of storage. ROS12, ROS levels assessed at 12 months of storage. ROS22, ROS levels assessed after 22 months of storage. Germ12, germination percentage assessed at 12 months of storage. Germ22, germination percentage assessed after 22 months of storage. Values are expressed as log2 of the ratio between the values recorded after 22 months of storage and the values recorded after 12 months of storage. Storage conditions are described in Table 2. Asterisks indicate statistically significant changes as assessed by Student’s t-test comparing the values recorded at the two time points. *, p < 0.05; **, p < 0.01; ***, p < 0.001.
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Figure 5. (a) Correlation analyses and (b) PCA plot carried out taking into consideration the contribution of ROS and germination at different storage intervals (I and II, 12 and 22 months, respectively). Storage conditions are described in Table 2. Numbers in the correlation plots indicate the p-values. The closer the Pearson’s r value is to ±1, the stronger the degree of linear dependence. Differently colored dots in the PCA plot indicate data relative to the used genotypes at the different storage conditions.
Figure 5. (a) Correlation analyses and (b) PCA plot carried out taking into consideration the contribution of ROS and germination at different storage intervals (I and II, 12 and 22 months, respectively). Storage conditions are described in Table 2. Numbers in the correlation plots indicate the p-values. The closer the Pearson’s r value is to ±1, the stronger the degree of linear dependence. Differently colored dots in the PCA plot indicate data relative to the used genotypes at the different storage conditions.
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Table 1. List and specific features of A. fistulosum seed lots used in this study. OP, open pollinated. MS, male sterile. F1, Filial 1.
Table 1. List and specific features of A. fistulosum seed lots used in this study. OP, open pollinated. MS, male sterile. F1, Filial 1.
Seed LotSeed Production SiteBreeding SiteGenetic Background
271227 (BO01a)ItalyJapanOP
251051(BO02a)ChileJapan
251533 (BO03a)ItalyJapan
250609 (BO04a)ChileJapan
270446 (BO05a)ChileJapanF1
270341 (BO06a)ItalyJapan
261286 (BO07a)ItalyJapan
270322 (BO08a)ChileJapan
17TSITGH03 (BO09a)ItalyJapanInbred line (MS)
18STC35 (BO10a)ChileJapanF1
1240694 (BO11a)South AfricaNetherlandsOP
170403214(BO12a)South AfricaKorea
1240695 (BO13a)ItalyNetherlands
1801030128 (BO14a)ChileKoreaF1
Table 2. List of storage conditions applied to A. fistulosum seed lots used in this study.
Table 2. List of storage conditions applied to A. fistulosum seed lots used in this study.
ConditionTemperatureRelative Humidity (RH)
A25 °C25%
B25 °C45%
C10 °C25%
D10 °C45%
E7.5 °C25%
F7.5 °C45%
Table 3. Correlation values grouping the different varieties for each storage condition, analyzed after 12 months of storage. The Pearson r values are indicated alongside the p-values. The p-value < 0.05 indicates significant differences, evidenced in bold. Germ, germination percentage; ROS, reactive oxygen species.
Table 3. Correlation values grouping the different varieties for each storage condition, analyzed after 12 months of storage. The Pearson r values are indicated alongside the p-values. The p-value < 0.05 indicates significant differences, evidenced in bold. Germ, germination percentage; ROS, reactive oxygen species.
Seed LotsComparisonsPearson rp-Value
BO01-14AROS vs. germ−0.690.006
BO01-14BROS vs. germ−0.990.01
BO01-14CROS vs. germ−0.980.001
BO01-14DROS vs. germ−0.950.001
BO01-14EROS vs. germ−0.620.017
BO01-14FROS vs. germ−0.670.009
Table 4. Correlation values grouping the different varieties for each storage condition, analyzed after 22 months of storage. The Pearson r values are indicated alongside the p-values. The p-value < 0.05 indicates significant differences, evidenced in bold. Germ, germination percentage; ROS, reactive oxygen species.
Table 4. Correlation values grouping the different varieties for each storage condition, analyzed after 22 months of storage. The Pearson r values are indicated alongside the p-values. The p-value < 0.05 indicates significant differences, evidenced in bold. Germ, germination percentage; ROS, reactive oxygen species.
Seed LotsComparisonsPearson rp-Value
BO01-14AROS vs. germ−0.010.971
BO01-14BROS vs. germ−0.20.487
BO01-14CROS vs. germ−0.040.891
BO01-14DROS vs. germ−0.20.498
BO01-14EROS vs. germ−0.290.309
BO01-14FROS vs. germ−0.250.381
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Padula, G.; Macovei, A.; Ravasio, A.; Pagano, A.; Jr Dueñas, C.; Xia, X.; Hołubowicz, R.; Balestrazzi, A. Exploring Reactive Oxygen Species Accumulation in Allium fistulosum L. Seeds Exposed to Different Storage Conditions. Seeds 2024, 3, 123-132. https://doi.org/10.3390/seeds3010010

AMA Style

Padula G, Macovei A, Ravasio A, Pagano A, Jr Dueñas C, Xia X, Hołubowicz R, Balestrazzi A. Exploring Reactive Oxygen Species Accumulation in Allium fistulosum L. Seeds Exposed to Different Storage Conditions. Seeds. 2024; 3(1):123-132. https://doi.org/10.3390/seeds3010010

Chicago/Turabian Style

Padula, Gregorio, Anca Macovei, Adriano Ravasio, Andrea Pagano, Conrado Jr Dueñas, Xianzong Xia, Roman Hołubowicz, and Alma Balestrazzi. 2024. "Exploring Reactive Oxygen Species Accumulation in Allium fistulosum L. Seeds Exposed to Different Storage Conditions" Seeds 3, no. 1: 123-132. https://doi.org/10.3390/seeds3010010

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