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Article

Genotypic and Environmental Impacts on Vicine and Convicine Concentrations in Faba Beans

1
Agriculture Victoria Research, Grain Innovation Park, 110 Natimuk Road, Horsham, VIC 3400, Australia
2
Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Bundoora, VIC 3083, Australia
3
School of Agriculture, Food and Wine, The University of Adelaide, Waite Campus, Glen Osmond, SA 5064, Australia
4
School of Applied Systems Biology, La Trobe University, Bundoora, VIC 3083, Australia
5
School of Agriculture, Food and Ecosystem Sciences, University of Melbourne, Parkville, VIC 3010, Australia
*
Author to whom correspondence should be addressed.
Agriculture 2025, 15(15), 1567; https://doi.org/10.3390/agriculture15151567
Submission received: 16 June 2025 / Revised: 18 July 2025 / Accepted: 19 July 2025 / Published: 22 July 2025
(This article belongs to the Section Crop Production)

Abstract

High concentrations of vicine and convicine (v-c) in faba beans can trigger favism in susceptible humans, posing a significant barrier to the broader adoption of faba beans as a food source. While plant breeding and various post-harvest processing methods have been adopted to reduce v-c levels, there is limited understanding of how agronomic practices may assist in reducing v-c levels. This study investigated the effect of sowing time (TOS), soil type, and genotype on v-c levels in faba beans. Twelve faba bean genotypes were evaluated across multiple field sites by applying two sowing times and two diverse soil types. The v-c content was quantified using established chromatographic techniques. Genotypes were identified as the most major factor affecting v-c levels, with significant variation observed in mean vicine and convicine contents. Sowing time also had a significant impact (p < 0.01), with lower v-c levels observed in TOS 1 compared to TOS 2. This reduction may be due to a longer plant development period and extended seed desiccation in TOS 1. Soil conditions, likely linked to nutritional factors, significantly influenced vicine concentrations (p < 0.05) but did not influence convicine levels (p > 0.05). These findings highlight the importance of agronomy practices, such as optimal sowing time, soil nutrition, and moisture management, in minimizing v-c levels; the most effective strategy remains the development of low v-c genotypes combined with farming practices that naturally suppress v-c accumulation.

1. Introduction

Vicia faba L. (Fabaceae) (commonly known as faba bean) is a cool season annual food legume crop grown as a part of crop rotation and is often grown within a cereal cropping rotation, contributing to nitrogen soil nutrition and reducing soil-borne diseases [1,2]. The worldwide production of dry faba bean is gradually increasing; in 2000, it was 3.8 Mt and, in 2020, it was 5.7 Mt (an increase of 50% in 20 years) [3]. In 2020, for dry faba beans, China was the top producer (1.7 Mt), Australia was the top exporter (0.4 Mt), and Egypt was the main importer (0.3 Mt) [3].
Faba bean, a rich source of protein and starch, is a significant pulse and vegetable crop especially for China and Mediterranean countries [4]. It is consumed in many forms fresh, dry (roasting is a traditional way of consuming faba beans in Indian subcontinent), or processed (e.g., falafel, a common dish in Mediterranean and Middle Eastern countries). In recent years, there has been an increase in popularity of plant-based protein products [5]. Due to high protein content, faba bean could be a potential source of sustainable plant-based protein [6]. Even though faba beans are protein-rich highly nutritious grains, they contain a range of anti-nutritional factors, which restricts their usage amongst certain human populations. One of the main anti-nutrient factors in faba bean are vicine and convicine (v-c) due to their potential to cause favism [7].
Favism (hemolytic anemia) is a severe reaction caused by the consumption of faba bean by people with glucose-6-phospate dehydrogenase deficiency (G6PD). G6PD deficiency is a lifelong genetic disorder and is one of the most prevalent forms of enzyme deficiency effecting more than 400 million people worldwide [8]. G6PDH deficiency impairs the ability of red blood cells to form NADPH, which leads to lower production of reduced glutathione, which, in turn, decreases the detoxification of peroxides and leaves red blood cells undefended against oxidative stress (e.g., the metabolites of vicine and convicine) and leads to hemolysis due to oxidative damage (Figure 1) [9].
Post-harvest methods for processing of faba beans have been investigated as a measure of reducing v-c contents, e.g., fermentation [10], various soaking methods [11], and other cooking methods, including roasting and boiling [12]. Soaking and cooking is one routine means of processing prior consumption and both steps help in reducing the v-c content [11,13]. Furthermore, cooking also inactivates the β-glucosidase enzyme in the seeds; this enzyme breaks down v-c into the potentially toxic metabolites, divicine and isouramil [9].
Vicine was initially isolated from the seeds of common vetch (Vicia sativa L.) in the late 19th century, and its presence was subsequently identified in faba bean in 1914 [14]. Pitz et al. [15] reported the presence of v-c in faba bean and common vetch (Vicia sativa L.), with reduced levels observed in Narbon vetch (Vicia narbonensis L.). However, the study did not detect v-c in other grain legumes such as chickpea (Cicer arietinum L.), soybean (Glycine max (L.) Merr.), lentil (Lens culinaris Medic.), field pea (Pisum sativum L.), and navy bean (Phaseolus vulgaris L.).
The v-c are heat-stable and their complete removal with processing methods is challenging [16]; thus, developing faba beans with low v-c content through targeted plant breeding or the use of genomic approaches are the future challenges for plant breeders. The 13 Gb faba bean genome [17] is relatively large compared to other legume crops (e.g., 0.7 Gb for chickpea [18] and ~4 Gb for lentil [19]) and it has recently been fully sequenced [20]. Furthermore, in recent years, several successful genomic approaches have been made in the mitigation of anti-nutrient component and enhanced seed quality traits of faba bean. Khazaei et al. [21] developed a high-throughput Kompetitive Allele Specific PCR (KASP) marker for low v-c concentration in faba bean. The low v-c faba beans have been reported to have vicine and convicine contents (0.29 mg g−1 and 0.01 mg g−1, respectively) significantly lower than the levels found in mainstream faba bean lines [22]. Nevertheless, the impact of growing practices or agronomy on the v-c levels on grain yield and disease resistance is yet to be fully investigated.
Crop management systems such as optimized sowing times and adaptation to soil conditions may be an effective tool in mitigating anti-nutritional compounds in faba bean. However, there is a limited knowledge on how agronomic practices can be applied to minimize the concentration of v-c. This paper reports the effect of time of sowing, soil type, and genotype on v-c in faba beans.
The high v-c content is one factor restricting the use of faba bean either in its raw form (food or feed) or as a protein concentrate (since the water-soluble v-c tend to co-extract with protein) [6]. As such any means of reducing the v-c content in grains would support increasing the production and consumption of faba beans [23]. This research investigated an agronomic treatment to mitigate v-c across 12 genotypes, considering variations in sowing times and two distinct soil types.

2. Materials and Methods

2.1. Field Trial and Genotypes

Faba bean samples were obtained from Southern Pulse Agronomy Victoria field trials grown within two diverse environments at Curyo, Victoria (35.85° S, 142.79° E), and Nhill, Victoria (36.33° S, 141.65° E), in 2021. The faba bean samples include 12 genotypes consisting of seven commercial varieties (Farah, PBA Amberley, PBA Bendoc, PBA Marne, PBA Nasma, PBA Samira, and PBA Zahra) and five pre-released breeding lines (AF12025, AF14075, AF14092, AF15278, and AF15283) from Australia. The genotypes are all spring cultivars and are characterized as having v-c content on a lower scale of commercial cultivars. The Curyo experimental site had two sowing times (TOS 1 and TOS 2) and four replications (n = 4). At Nhill site the trial was on two diverse soil types: (a) “Duplex soil”—a duplex of soil types with slightly acidic sandy loam topsoil and hard-setting alkaline clay subsoil in a swale and (b) “Sandy soil”—a hard-setting neutral to alkaline sand situated on a sand dune within the same location. The two soil types were approximately 200 m apart and, therefore, weather conditions were similar. Mean monthly averages for total rainfall, minimum temperature, maximum temperature, and global solar exposure for both sites are shown in Table 1. The soil nutrient composition at the Nhill site for the Duplex and Sand trials measured at 0–10 cm, 10–20 cm, and 20–40 cm depth are shown in Table 2.
At both trial sites, seed was sown at a depth of 5 cm to achieve a plant density of 20 plants per m−2 with Group F granular rhizobia (Nodulator ®; BASF Australia Southbank, Victoria, Australia). Fertilizer (Mono Ammonium Phosphate–Nitrogen 9.2%, Phosphorus 20.2%, Sulphur 2.7%, and Zinc 2.5%) was applied in a band 3 cm below seed at a rate of 60 kg ha−1 at the time of sowing. The TOS 1 and TOS 2 trials in Curyo were sown on 29 April 2021 and 1 June 2021, respectively. Both trials in Nhill were sown on 6 May 2021. The trials in Curyo and Nhill were harvested on 11 November 2021 and 6 December 2021, respectively. In addition to the commercially released varieties and five breeding lines included in the field trials, three of the breeding lines (18YB, 18ABJ, and 18ACB) developed by the faba bean breeding program to have inherently low in v-c content were analyzed for v-c contents.

2.2. Calculation of Heat Sum

The daily heat sum for the trial sites were calculated as follows:
Daily heat sum = (Tmax + Tmin)/2 − Tbase
where Tmax is the daily maximum temperature, Tmin is the daily minimum temperature, and Tbase is the base temperature.
For the calculation of thermal time (daily heat sum) in faba bean, a Tbase of 0 °C was applied [24]. Temperatures below this threshold are considered non-contributory to phenological development and are excluded from cumulative daily heat sum. To obtain the accumulated heat sum for the podding period, the heat sum from the “flowering date” to “podding date” was pooled. Similarly, accumulated daily solar exposure (ASE) data measured as MJ m−2 for the podding period were pooled from the “flowering date” to “podding date”. The dates of 50% flowering were taken as “flowering date” and dates of 50% podding were taken as “podding date”.

2.3. Protein, Moisture, and 100 Seed Weight Analysis

The protein and moisture content of samples were determined using near-infrared reflectance (NIR) spectroscopy (Foss XDS Rapid Content Analyser, FOSS Pacific Pty Ltd., Hilleroed, Denmark) of the harvested seeds. The 100 seed weight was determined by subsampling 100 randomly selected intact seeds from the harvested seeds and obtaining their weight.

2.4. Vicine and Convicine Analysis

The vicine and convicine (v-c) contents in faba bean samples were analyzed as per the method described in Elkins et al. [25]. The analytical method is as summarized as follows.

2.4.1. Sample Preparation

The whole-grain faba bean samples were ground with a hammer-type cyclone mill (Laboratory Mill 3100, Perten Instruments, Huddinge, Sweden) fitted with 0.8 mm sieve. The ground samples (10 mg) were extracted with 1 mL of 80% methanol and vortexed for 1 min and subsequently sonicated for 5 min. The mixture was centrifuged at 17,950 rcf for 5 min and the supernatant was transferred into a labeled tube, and the remnant v-c in the residue were extracted again with fresh 1 mL of 80% methanol. The supernatant was pooled, diluted 1:20, and analyzed for v-c contents.

2.4.2. Chromatographic Analysis

Liquid chromatographic analyses were undertaken using an ultra-high-performance liquid chromatography system (Thermo Fisher Scientific, Bremen, Germany) coupled to a Q Exactive™ Plus Hybrid Quadrupole-Orbitrap™ Mass Spectrometer (Thermo Fisher Scientific, Bremen, Germany). All MS data was acquired in positive electrospray ionization mode over a mass range of 80–1200 m/z. The column used for analysis was Synergi Polar-RP (150 mm × 2 mm, 4 μm) (Phenomenex, Lane Cove, New South Wales, Australia). The mobile phases used were 0.1% formic acid in milliQ water (A) and 0.1% formic acid in acetonitrile (B). The solvent gradient was an isocratic flow of 20% A and 80% B at 0.15 mL min−1 for 4 min followed by 3 min at 100% B to clean the column and a further 3 min at initial condition for column re-equilibration with the column temperature at 40 °C. The chromatographic data were acquired using Xcalibur version 4.5.474.0 and processed using Tracefinder 5.1 Build 110 (Thermo Fisher Scientific, San Jose, CA, USA).

2.5. Statistical Analysis

For statistical analysis of the data, one-way ANOVA using Minitab® (version 21.1, Minitab, State College, PA, USA) was carried out on multiple field replicates to investigate the effect of TOS and soil type on the vicine and convicine contents in faba bean samples. For ease of interpretation of the results and clarity, two factors (TOS and soil type) were individually analyzed with one-way ANOVA. The Tukey pairwise comparison was used for determining mean differences between treatments. The Pearson correlation was used to determine correlation between v-c content and various abiotic factors. Principal Component Analysis (PCA) was conducted on the various measured parameters.

3. Results and Discussion

Although the sowing dates for the TOS trials were four weeks apart, it was observed that physiological differences in plant development were less pronounced, as can be seen by number of days after sowing to 50% flowering and 50% podding (Table 3). These findings are consistent with the observations of McDonald, Adisalwanto, and Knight [26]. This study found that, within the typical range of sowing dates for faba beans in southern Australia, there was minimal difference in days to flowering due to delayed sowing, with developmental progression being predominantly regulated by thermal and photoperiodic responses. Effects of TOS 1 and TOS 2 may have also impacted on root development due to decreasing available soil moisture; however, these were not quantified in the field notes. For the trial at Nhill, physiological development was similar for duplex soil and sandy soil, as indicated by a comparable number of days from sowing for the 50% flowering and 50% podding (Table 3). Thus, any measured differences are most likely associated with the soil environment and soil moisture levels (Table 1).

3.1. Effect of Genotype

In this study genotype was the largest source of variation for v-c contents. Amongst the 12 genotypes analyzed the mean vicine content ranged from 4.23 to 5.40 mg g−1 DB and the mean convicine ranged from 2.26 to 3.29 mg g−1 DB (Figure 2). These results are similar to studies by Mayer Labba, Frøkiær, and Sandberg [27].

3.2. Effect of Time of Sowing (TOS)

Optimizing time of sowing (TOS) is a common agronomic practice to increase grain yield and improve quality [28,29]. The mean moisture content for the samples from TOS 1 and TOS 2 were 100.7 mg g−1 and 100.4 mg g−1, respectively. The TOS had a significant effect (p < 0.01) on the concentration of both vicine and convicine (Figure 3 and Figure 4). The samples from TOS 1 had a mean vicine content of 4.24 mg g−1 DB and ranged from 3.27 to 4.83 mg g−1 DB, whereas the samples from TOS 2 had a significantly higher mean vicine content of 5.19 mg g−1 DB and ranged from 4.74 to 5.65 mg g−1 DB. Similarly, the samples from TOS 1 had a mean convicine content of 2.42 mg g−1 DB and ranged from 2.00 to 3.14 mg g−1 DB, whereas the samples from TOS 2 had a significantly higher mean convicine content of 2.85 mg g−1 DB and ranged from 2.32 to 3.40 mg g−1 DB.
Harvest index is defined as yield of a crop versus the total biomass produced and is the result of combined interaction between genotype, environment, and crop management [30]. The mean harvest index for TOS 1 and TOS 2 is 0.48 and 0.46, respectively, and there was no significant effect of TOS on the harvest index (p > 0.05). Therefore, the measured differences in v-c content in TOS 1 and TOS 2 are thought to arise from temperature effects during pod-filling prior or additional flowering and podding later in the season.
The synthesis pathway of v-c in faba beans remains unclear; according to Björnsdotter et al. [7], v-c is suggested to originate from purine metabolism, being generated in the seed coat and subsequently transported to developing embryos. Cardador-Martínez et al. [12] noted that mid-harvest and late-harvest samples exhibited significantly lower v-c levels compared to early-harvest samples, suggesting that an extended plant life cycle results in reduced v-c content. In a study by Lattanzio, Bianco, and Lafiandra [31], an increase in v-c levels was observed during seed development and ripening, while a decrease occurred during the drying stage. Therefore, in our study, the observed lower v-c levels in TOS 1 compared to TOS 2 could potentially be attributed to an extended plant life cycle and a prolonged seed drying stage.

3.3. Effect of Soil Type

Soil with ample macro- and micro-nutrients maintains an optimal rate of crop growth and enhances grain quality [32], whereas nutrient deficient soil adversely affects grain quality [33]. The soil in the Nhill-sand trial site had a lower concentration of nitrate, copper, iron, and manganese contents compared to the Nhill-flat trial site. Faba bean has a well-developed taproot, which bears a profusion of fibrous roots in the top 30 cm of soil [34] and, hence, quality of topsoil may influence crop growth and seed quality.
The mean moisture content for the samples from duplex soil and sandy soil were 92.8 mg g−1 and 94.2 mg g−1, respectively. There was a significant effect of soil type on the concentration of vicine (p < 0.05) but not for convicine (p > 0.05) (Figure 5 and Figure 6). The mean vicine contents for duplex soil and sandy soils were 5.07 mg g−1 DB and 5.36 mg g−1 DB, respectively. The convicine contents for duplex soil and sandy soil were 2.70 mg g−1 DB and 2.82 mg g−1 DB, respectively. Compared to the effect of TOS, the effect of soil type on v-c contents of the analyzed samples was less distinct.

3.4. Solar Exposure During Podding and Its Impact on V-C Contents

The accumulated heat sum (AHS) and accumulated solar exposure (ASE) during the podding stage, mean 100 seed weight, and total v-c content are summarized in Table 4. It was found that both AHS and ASE were inversely correlated with mean v-c contents in faba bean trials (r = −0.65 and r = −0.61, respectively) and positively correlated with 100 grain weight (r = 0.53 and r = 0.50, respectively). The negative correlation of AHS and v-c content is also demonstrated in the PCA loading plot of various measure parameters (Figure 7). Confalone, Lizaso, Ruiz-Nogueira, López-Cedrón, and Sau [35] similarly observed that field temperature and photoperiod had a large impact on faba bean growth, grain yield, and its component (e.g., seed weight, pod number, seeds per pod, and harvest index). Vicine and convicine are synthesized during the seed filling stage with the highest concentration in the early stages of seed development and decreases rapidly when a seed reaches physiological maturity [14]. Furthermore, Cardador-Martínez et al. [12] also found that faba beans with longer seed development had significantly lower v-c contents when compared with faba beans that had a shorter development. Thus, the observed inverse correlation of total v-c content with grain weight (r = −0.60) could be due to improved grain development and potentially could also be due to dilution effect because of seed growth.

3.5. Genotype by Treatment Interactions

The vicine and convicine contents differ significantly amongst the genotypes and treatments. Among all the samples analyzed (12 genotypes and 4 treatments), AF14092 grown at Curyo-TOS 1 had the lowest mean vicine content (3.27 mg g−1 DB) and PBA Amberley samples from Nhill-Sand had the highest vicine content (5.87 mg g−1 DB) (Figure 8). Similarly, Farah samples from “Curyo–TOS 1” had the lowest convicine content (2.00 mg g−1 DB) and AF14075 samples from “Curyo–TOS 2” had the highest convicine contents (3.40 mg g−1 DB). These data suggest that, by selection of the genotype and treatment, the v-c levels in the grains could potentially be reduced by ~40%. Overall, genotype and environment (TOS and soil type) had the most significant effect on v-c content (p < 0.01) but there was no interaction or additive effect due to genotype by environment. Similar to our findings, Pulkkinen et al. [36] also reported significant genotypic variation in v-c content in their studies, whereas environmental variation (growing years) was significant but comparatively minor.

3.6. A Study of Low V-C Lines

Due to the limited availability of seed of the low v-c lines, this study was unable to incorporate low v-c lines in the TOS and soil-type trials. Nevertheless, for a comparative analysis of v-c levels, three ultra-low v-c breeding lines were sourced from the University of Adelaide faba bean breeding program grown in a separate trial. These lines were then examined for their v-c contents, revealing vicine contents of 0.19 mg g−1, 0.24 mg g−1, and 0.26 mg g−1 and convicine contents of 0.01 mg g−1, 0.03 mg g−1, and 0.01 mg g−1, respectively. The v-c contents in low v-c samples are over 10 times lower than those observed in the normal v-c lines analyzed in this study. These findings align with the reported v-c levels in low v-c samples, as documented by Björnsdotter et al. [7]. In their in vivo study, Gallo et al. [37] observed that individuals with G6PD deficiency did not exhibit any indications of red blood cell damage or intravascular hemolysis even after consuming 500 g of raw low v-c faba bean seeds per 70 kg of body weight (equivalent to 5–10 times the amount of an average faba bean meal). The study by Debnath, Rai, Tyagi, Majumder, and Meetei [38] demonstrated that, in faba bean samples consisting of indigenous, exotic, landraces, and two commercial varieties, reduced vicine content was generally associated with reduced grain yields. The study concluded that complete elimination or substantial reduction in vicine could compromise yield potential unless an improved grain-yield selection strategy was employed when developing low-vicine varieties. The broader commercial availability and adoption of low-vicine faba bean varieties, which offer comparable yield and disease resistance to normal v-c varieties, could potentially expand faba bean consumption. This expansion may open the possibility of incorporating faba bean products into the diets of more than 400 million G6PD-deficient individuals.

4. Conclusions

As the global demand for alternative protein sources increase, faba beans are recognized as a sustainable option for plant-based protein. However, the presence of elevated concentrations of vicine and convicine (v-c) could substantially limit broader adoption. To address this, breeding programs are now prioritizing the development of new varieties with reduced concentrations of v-c. As with all plant metabolites, the synthesis of v-c is influenced by abiotic factors during seed development, which alter the metabolic pathways and affect the accumulation of both beneficial and anti-nutritional compounds.
This study demonstrated that agronomic factors—particularly the time of sowing—can significantly impact v-c concentration in faba beans. While post-harvest processing can reduce the v-c levels to an extent, the most effective strategy in the near term may cultivate low v-c lines under environmental conditions that minimize the accumulation of v-c concentration in the grain.
Until ultra-low or zero v-c varieties become widely available, optimizing both genotype selection and agronomic conditions remains essential for ensuring the safety and quality of faba bean as a food and feed source.

Author Contributions

P.M.: aample preparation, data compilation, statistical analysis, and writing original draft. A.C.E.: v-c analysis, data compilation, review, and editing. J.B.: provided seed materials and agronomy data, review. S.C.C.: provided seed materials, review, and editing. S.J.R.: review and editing. J.F.P.: conceptualization, funding acquisition, project administration, supervision, review, and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Grains Research and Development Corporation, grant number DJP2203-005RTX.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in the article.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
AHSAccumulated heat sum
ASEAccumulated solar exposure
DBDry matter basis
TOSTime of sowing
v-cVicine and convicine

References

  1. Karkanis, A.; Ntatsi, G.; Lepse, L.; Fernández, J.A.; Vågen, I.M.; Rewald, B.; Alsiņa, I.; Kronberga, A.; Balliu, A.; Olle, M.; et al. Faba bean cultivation—Revealing novel managing practices for more sustainable and competitive European cropping systems. Front. Plant Sci. 2018, 9, 1115. [Google Scholar] [CrossRef] [PubMed]
  2. Mínguez, M.I.; Rubiales, D. Chapter 15—Faba bean. In Crop Physiology Case Histories for Major Crops; Sadras, V.O., Calderini, D.F., Eds.; Academic Press: Cambridge, MA, USA, 2021; pp. 452–481. [Google Scholar]
  3. Food and Agriculture Organization FAOSTAT (Food and Agriculture Organization Corporate Statistical Database). 2023. Available online: https://www.fao.org/statistics/en (accessed on 16 May 2025).
  4. Duc, G.; Bao, S.; Baum, M.; Redden, B.; Sadiki, M.; Suso, M.J.; Vishniakova, M.; Zong, X. Diversity maintenance and use of Vicia faba L. genetic resources. Field Crop. Res. 2010, 115, 270–278. [Google Scholar] [CrossRef]
  5. Yano, H.; Fu, W. Effective use of plant proteins for the development of “New” foods. Foods 2022, 11, 1185. [Google Scholar] [CrossRef] [PubMed]
  6. Martineau-Côté, D.; Achouri, A.; Karboune, S.; L’Hocine, L. Faba bean: An untapped source of quality plant proteins and bioactives. Nutrients 2022, 14, 1541. [Google Scholar] [CrossRef] [PubMed]
  7. Björnsdotter, E.; Nadzieja, M.; Chang, W.; Escobar-Herrera, L.; Mancinotti, D.; Angra, D.; Xia, X.; Tacke, R.; Khazaei, H.; Crocoll, C.; et al. VC1 catalyses a key step in the biosynthesis of vicine in faba bean. Nat. Plants 2021, 7, 923–931. [Google Scholar] [CrossRef] [PubMed]
  8. Cappellini, M.; Fiorelli, G. Glucose-6-phosphate dehydrogenase deficiency. Lancet 2008, 371, 64–74. [Google Scholar] [CrossRef] [PubMed]
  9. Rizzello, C.G.; Losito, I.; Facchini, L.; Katina, K.; Palmisano, F.; Gobbetti, M.; Coda, R. Degradation of vicine, convicine and their aglycones during fermentation of faba bean flour. Sci. Rep. 2016, 6, 32452. [Google Scholar] [CrossRef] [PubMed]
  10. Polanowska, K.; Szwengiel, A.; Kuligowski, M.; Nowak, J. Degradation of pyrimidine glycosides and L-DOPA in the faba bean by Rhizopus oligosporus. LWT 2020, 127, 109353. [Google Scholar] [CrossRef]
  11. Jamalian, J.; Ghorbani, M. Extraction of favism inducing agents from whole seeds of faba bean (Vicia faba L. var major). J. Sci. Food Agric. 2005, 85, 1055–1060. [Google Scholar] [CrossRef]
  12. Cardador-Martínez, A.; Maya-Ocaña, K.; Ortiz-Moreno, A.; Herrera-Cabrera, B.E.; Dávila-Ortiz, G.; Múzquiz, M.; Jiménez-Martínez, C. Effect of roasting and boiling on the content of vicine, convicine and L-3,4-dihydroxyphenylalanine in Vicia faba L. J. Food Qual. 2012, 35, 419–428. [Google Scholar] [CrossRef]
  13. Dhull, S.B.; Kidwai, M.K.; Noor, R.; Chawla, P.; Rose, P.K. A review of nutritional profile and processing of faba bean (Vicia faba L.). Legum. Sci. 2022, 4, e129. [Google Scholar] [CrossRef]
  14. Khazaei, H.; Purves, R.W.; Hughes, J.; Link, W.; O’Sullivan, D.M.; Schulman, A.H.; Björnsdotter, E.; Geu-Flores, F.; Nadzieja, M.; Andersen, S.U.; et al. Eliminating vicine and convicine, the main anti-nutritional factors restricting faba bean usage. Trends Food Sci. Technol. 2019, 91, 549–556. [Google Scholar] [CrossRef]
  15. Pitz, W.J.; Sosulski, F.W.; Hogge, L.R. Occurrence of vicine and convicine in seeds of some Vicia species and other pulses. Can. Inst. Food Sci. Technol. 1980, 13, 35–39. [Google Scholar] [CrossRef]
  16. Pulkkinen, M.; Coda, R.; Lampi, A.M.; Varis, J.; Katina, K.; Piironen, V. Possibilities of reducing amounts of vicine and convicine in faba bean suspensions and sourdoughs. Eur. Food Res. Technol. 2019, 245, 1507–1518. [Google Scholar] [CrossRef]
  17. Khazaei, H.; O’Sullivan, D.M.; Stoddard, F.L.; Adhikari, K.N.; Paull, J.G.; Schulman, A.H.; Andersen, S.U.; Vandenberg, A. Recent advances in faba bean genetic and genomic tools for crop improvement. Legum. Sci. 2021, 3, e75. [Google Scholar] [CrossRef] [PubMed]
  18. Varshney, R.K.; Song, C.; Saxena, R.K.; Azam, S.; Yu, S.; Sharpe, A.G.; Cannon, S.; Baek, J.; Rosen, B.D.; Tar’an, B.; et al. Draft genome sequence of chickpea (Cicer arietinum) provides a resource for trait improvement. Nat. Biotechnol. 2013, 31, 240–246. [Google Scholar] [CrossRef] [PubMed]
  19. Polanco, C.; Sáenz de Miera, L.E.; Bett, K.; Pérez de la Vega, M. A genome-wide identification and comparative analysis of the lentil MLO genes. PLoS ONE 2018, 13, e0194945. [Google Scholar] [CrossRef] [PubMed]
  20. Jayakodi, M.; Golicz, A.A.; Kreplak, J.; Fechete, L.I.; Angra, D.; Bednář, P.; Bornhofen, E.; Zhang, H.; Bous-sageon, R.; Kaur, S.; et al. The giant diploid faba genome unlocks variation in a global protein crop. Nature 2023, 615, 652–659. [Google Scholar] [CrossRef] [PubMed]
  21. Khazaei, H.; Purves, R.W.; Song, M.; Stonehouse, R.; Bett, K.E.; Stoddard, F.L.; Vandenberg, A. Development and validation of a robust, breeder-friendly molecular marker for the vc locus in faba bean. Mol. Breed. 2017, 37, 140. [Google Scholar] [CrossRef]
  22. Purves, R.W.; Zhang, H.; Khazaei, H.; Vandenberg, A. Rapid analysis of medically relevant compounds in faba bean seeds using FAIMS and mass spectrometry. Int. J. Ion Mobil. Spectrom. 2017, 20, 125–135. [Google Scholar] [CrossRef]
  23. Crépon, K.; Marget, P.; Peyronnet, C.; Carrouée, B.; Arese, P.; Duc, G. Nutritional value of faba bean (Vicia faba L.) seeds for feed and food. Field Crop. Res. 2010, 115, 329–339. [Google Scholar] [CrossRef]
  24. Boote, K.J.; Mínguez, M.I.; Sau, F. Adapting the CROPGRO legume model to simulate growth of faba bean. Agron. J. 2002, 94, 743–756. [Google Scholar] [CrossRef]
  25. Elkins, A.C.; Rochfort, S.J.; Maharjan, P.; Panozzo, J. A simple high-throughput method for the analysis of vicine and convicine in faba bean. Molecules 2022, 27, 6288. [Google Scholar] [CrossRef] [PubMed]
  26. McDonald, G.K.; Adisarwanto, T.; Knight, R. Effect of time of sowing on flowering in faba bean (Vicia faba). Aust. J. Exp. Agric. 1994, 34, 395–400. [Google Scholar] [CrossRef]
  27. Mayer Labba, I.C.; Frøkiær, H.; Sandberg, A.S. Nutritional and antinutritional composition of fava bean (Vicia faba L., var. minor) cultivars. Food Res. Int. 2021, 140, 110038. [Google Scholar] [CrossRef] [PubMed]
  28. Richards, M.F.; Preston, A.L.; Napier, T.; Jenkins, L.; Maphosa, L. Sowing date affects the timing and duration of key chickpea (Cicer arietinum L.) growth phases. Plants 2020, 9, 1257. [Google Scholar] [CrossRef] [PubMed]
  29. Maphosa, L.; Preston, A.; Richards, M.F. Effect of sowing date and environment on phenology, growth and yield of lentil (Lens culinaris Medikus.) genotypes. Plants 2023, 12, 474. [Google Scholar] [CrossRef] [PubMed]
  30. Porker, K.; Straight, M.; Hunt, J.R. Evaluation of G × E × M interactions to increase harvest index and yield of early sown wheat. Front. Plant Sci. 2020, 11, 994. [Google Scholar] [CrossRef] [PubMed]
  31. Lattanzio, V.; Bianco, V.V.; Lafiandra, D. High-performance reversed-phase liquid chromatography (HPLC) of favism inducing factors in Vicia faba L. Experientia 1982, 38, 789–790. [Google Scholar] [CrossRef] [PubMed]
  32. Kumar, S.; Kumar, S.; Mohapatra, T. Interaction between macro-and micro-nutrients in plants. Front. Plant Sci. 2021, 12, 665583. [Google Scholar] [CrossRef] [PubMed]
  33. Thapa, S.; Bhandari, A.; Ghimire, R.; Xue, Q.; Kidwaro, F.; Ghatrehsamani, S.; Maharjan, B.; Goodwin, M. Managing micronutrients for improving soil fertility, health, and soybean yield. Sustainability 2021, 13, 11766. [Google Scholar] [CrossRef]
  34. Matthews, P.; Marcellos, H. Faba Bean. Agfact P4.2.7, 2nd ed.; New South Wales Agriculture: Orange, Australia, 2003; pp. 1–12. [Google Scholar]
  35. Confalone, A.; Lizaso, J.I.; Ruiz-Nogueira, B.; López-Cedrón, F.X.; Sau, F. Growth, PAR use efficiency, and yield components of field grown Vicia faba L. under different temperature and photoperiod regimes. Field Crop. Res. 2010, 115, 140–148. [Google Scholar] [CrossRef]
  36. Pulkkinen, M.; Gautam, M.; Lampi, A.M.; Ollilainen, V.; Stoddard, F.; Sontag-Strohm, T.; Salovaara, H.; Piironen, V. Determination of vicine and convicine from faba bean with an optimized high-performance liquid chromatographic method. Food Res. Int. 2015, 76, 168–177. [Google Scholar] [CrossRef]
  37. Gallo, V.; Skorokhod, O.A.; Simula, L.F.; Marrocco, T.; Tambini, E.; Schwarzer, E.; Marget, P.; Duc, G.; Arese, P. No red blood cell damage and no hemolysis in G6PD-deficient subjects after ingestion of low vicine/convicine Vicia faba seeds. Blood 2018, 131, 1621–1625. [Google Scholar] [CrossRef] [PubMed]
  38. Debnath, S.; Rai, M.; Tyagi, W.; Majumder, S.; Meetei, N.T. Lower vicine content reduces the reproductive yield performance in faba bean (Vicia faba L.). Sci. Rep. 2025, 15, e311. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Mechanism for vicine- and convicine-induced anemia resulting from glucose-6-phosphate dehydrogenase deficiency (adapted from Cappellini and Fiorelli [8]).
Figure 1. Mechanism for vicine- and convicine-induced anemia resulting from glucose-6-phosphate dehydrogenase deficiency (adapted from Cappellini and Fiorelli [8]).
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Figure 2. Interval plot of (a) vicine vs. genotype and (b) convicine vs. genotype (n = 15; error bar represents the standard deviation).
Figure 2. Interval plot of (a) vicine vs. genotype and (b) convicine vs. genotype (n = 15; error bar represents the standard deviation).
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Figure 3. Histograms of (a) vicine and (b) convicine contents in faba beans samples at TOS 1 (blue solid lines) and TOS 2 (red dotted lines).
Figure 3. Histograms of (a) vicine and (b) convicine contents in faba beans samples at TOS 1 (blue solid lines) and TOS 2 (red dotted lines).
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Figure 4. Effect of TOS on (a) mean vicine and (b) mean convicine contents of faba bean samples grown at Curyo in 2021. The error bars represent the standard deviation.
Figure 4. Effect of TOS on (a) mean vicine and (b) mean convicine contents of faba bean samples grown at Curyo in 2021. The error bars represent the standard deviation.
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Figure 5. Histograms of (a) vicine and (b) convicine content in faba beans samples grown in duplex soil (blue solid lines) and sandy soil (red dotted lines).
Figure 5. Histograms of (a) vicine and (b) convicine content in faba beans samples grown in duplex soil (blue solid lines) and sandy soil (red dotted lines).
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Figure 6. (a) Mean vicine and (b) mean convicine contents of faba bean samples grown at Nhill with two different soil types, duplex soil and sandy soil. The error bars represent the standard deviation.
Figure 6. (a) Mean vicine and (b) mean convicine contents of faba bean samples grown at Nhill with two different soil types, duplex soil and sandy soil. The error bars represent the standard deviation.
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Figure 7. The PCA loading plot of accumulated heat sum, 100 seed weight, grain yield, vicine content and convicine content.
Figure 7. The PCA loading plot of accumulated heat sum, 100 seed weight, grain yield, vicine content and convicine content.
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Figure 8. Genotype x Environment interaction plot for (a) vicine content and (b) convicine contents in faba beans.
Figure 8. Genotype x Environment interaction plot for (a) vicine content and (b) convicine contents in faba beans.
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Table 1. Monthly rainfall, mean maximum temperature, mean minimum temperature, and mean global solar exposure for faba bean growing season at two trial sites, Curyo and Nhill, in 2021.
Table 1. Monthly rainfall, mean maximum temperature, mean minimum temperature, and mean global solar exposure for faba bean growing season at two trial sites, Curyo and Nhill, in 2021.
Trial SiteObservationApr.MayJun.Jul.Aug.Sep.Oct.Nov.Dec.
Curyo
2021
Total rainfall—mm1.426.434.645.23147.242.654.63.4
Mean min. temperature—°C7.25.15.63.44.45.86.410.412.7
Mean max. temperature—°C23.719.615.915.217.820.722.925.231.6
Mean global solar exposure—MJ m−213.59.98.19.312.516.420.221.127.6
Nhill
2021
Total rainfall—mm1915.21258.617.836.8577.60
Mean min. temperature—°C8.16.36.24.54.95.96.69.211.2
Mean max. temperature—°C22.518.314.913.416.618.320.424.229.5
Mean global solar exposure—MJ m−212.89.77.8912.41519.22127.1
Note. Meteorological data for the trial sites were obtained from the Bureau of Meteorology (http://www.bom.gov.au/climate/data/ (accessed on 3 March 2023)).
Table 2. Soil data for Nhill-Duplex soil and Nhill-Sandy soil trial sites at three depths.
Table 2. Soil data for Nhill-Duplex soil and Nhill-Sandy soil trial sites at three depths.
DepthNH4+NO3PKSCuFeMnZnBECpHSoil
(cm)mg kg−1mg kg−1mg kg−1mg kg−1mg kg−1mg kg−1mg kg−1mg kg−1mg kg−1mg kg−1(dS m−1)(CaCl2)Moisture (%)
Nhill-
Duplex soil
0–104.36.818.022316.60.845.018.61.31.60.26.35.8
10–202.32.85.32588.30.835.94.40.33.10.26.915.6
20–402.01.53.527715.21.135.12.90.27.90.47.921.0
Nhill-
Sandy soil
0–104.81.025.527119.90.420.93.91.21.10.17.310.2
10–202.51.58.02449.80.426.11.20.32.20.27.516.6
20–401.83.35.528813.40.525.60.70.23.80.38.023.8
Note. The soil samples from trials were analyzed by a commercial laboratory (CSBP Soil and Plant Analysis Laboratory, Perth, Western Australia).
Table 3. Number of days from sowing to 50% flowering and 50% podding for genotypes within trials.
Table 3. Number of days from sowing to 50% flowering and 50% podding for genotypes within trials.
GenotypeTreatment—Time of SowingTreatment—Soil Type
TOS 1TOS 2Duplex SoilSandy Soil
50%
Flowering
50%
Podding
50%
Flowering
50%
Podding
50%
Flowering
50%
Podding
50%
Flowering
50%
Podding
Farah10314790115114147116141
PBA Amberley11315097121120150119143
PBA Bendoc11215195120118138118143
PBA Marne10214889116118145117147
PBA Nasma9413887110111137109139
PBA Samira11115195118119139118143
PBA Zahra11315296119120148121147
AF120259113484109113141107147
AF1407510914995118120147119139
AF1409210115189117109138110134
AF1527811214995119118147118137
AF1528311115097118116141117134
Table 4. The accumulated heat sum (AHS) and solar exposure (ASE) during podding stage of various faba.
Table 4. The accumulated heat sum (AHS) and solar exposure (ASE) during podding stage of various faba.
TrialAHS During PoddingASE During Podding
(MJ m−2)
Mean Yield
(t ha−1)
Mean 100 Seed Weight
(g)
Mean Protein
(mg g−1)
Sum of v-c
(mg g−1 DB)
Curyo–TOS 1326 A647 A2.63 A68.1 A281 a6.6 A
Curyo–TOS 2200 B427 B2.29 B56.5 B270 b8.0 B
Nhill–Duplex soil177 B416 B3.10 C61.9 B276 ab7.8 B
Nhill–Sandy soil172 B396 B3.53 D58.4 B281 a8.2 B
Note. The means in the same column with different letters are significantly different (Tukey pairwise comparison, capital letter for p < 0.01 and small letter for p < 0.05).
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Maharjan, P.; Elkins, A.C.; Brand, J.; Catt, S.C.; Rochfort, S.J.; Panozzo, J.F. Genotypic and Environmental Impacts on Vicine and Convicine Concentrations in Faba Beans. Agriculture 2025, 15, 1567. https://doi.org/10.3390/agriculture15151567

AMA Style

Maharjan P, Elkins AC, Brand J, Catt SC, Rochfort SJ, Panozzo JF. Genotypic and Environmental Impacts on Vicine and Convicine Concentrations in Faba Beans. Agriculture. 2025; 15(15):1567. https://doi.org/10.3390/agriculture15151567

Chicago/Turabian Style

Maharjan, Pankaj, Aaron C. Elkins, Jason Brand, Samuel C. Catt, Simone J. Rochfort, and Joe F. Panozzo. 2025. "Genotypic and Environmental Impacts on Vicine and Convicine Concentrations in Faba Beans" Agriculture 15, no. 15: 1567. https://doi.org/10.3390/agriculture15151567

APA Style

Maharjan, P., Elkins, A. C., Brand, J., Catt, S. C., Rochfort, S. J., & Panozzo, J. F. (2025). Genotypic and Environmental Impacts on Vicine and Convicine Concentrations in Faba Beans. Agriculture, 15(15), 1567. https://doi.org/10.3390/agriculture15151567

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