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Comparative analysis of management practices and end-users’ desired breeding traits in the miracle plant [Synsepalum dulcificum (Schumach & Thonn.) Daniell] across ecological zones and sociolinguistic groups in West Africa



Understanding end-users’ preferred breeding traits and plant management practices is fundamental in defining sound breeding objectives and implementing a successful plant improvement programme. Since such knowledge is lacking for Synsepalum dulcificum, a worldwide promising orphan fruit tree species, we assessed the interrelationships among socio-demography, ecology, management practices, diversity and ranking of desired breeding traits by end-users of the species (farmers, final consumers and processing companies) in West Africa.


Semi-structured interviews, field-visits and focus groups were combined to interview a total of 300 farmers and final consumers belonging to six sociolinguistic groups sampled from three ecological zones of Benin and Ghana. One processing company in Ghana was also involved. Data collected included socio-demographic characteristics; crop management systems and practices; and preferences of farmers, final consumers and processing companies and ranking of breeding traits. Data were analysed using descriptive statistics, independence, and non-parametric tests, generalized linear models, multi-group similarity index and Kendall’s concordance coefficient.


Men (86.33% of respondents) were the main holders of S. dulcificum in the study area. The three most frequent management practices observed in the species included weeding, fertilization and pruning, which were applied by 75.66%, 27.33% and 16.66% of respondents, respectively. The management intensity index varied significantly across ecological zones, sociolinguistic groups, and instruction level (p < 0.001) but was not affected by gender (p > 0.05). General multigroup similarity indices (\( {\mathrm{C}}_{\mathrm{S}}^{\mathrm{T}} \)) for farmer-desired traits, on one hand, and final consumer-desired traits, on the other hand, were high across ecological zones (\( {\mathrm{C}}_{\mathrm{S}}^{\mathrm{T}} \) ≥ 0.84) and sociolinguistic groups (\( {\mathrm{C}}_{\mathrm{S}}^{\mathrm{T}} \) > 0.83). Nevertheless, respondents from the Guineo-Congolian (Benin) and the Deciduous forest (Ghana) zones expressed higher agreement in the ranking of desired breeding traits. Preference for breeding traits was 60% similar among farmers, final consumers, and processors. The key breeding traits desired by these end-users included in descending order of importance big fruit size, early fruiting, high fruit yielding (for farmers); big fruit size, high fruit miraculin content, fruit freshness (for final consumers); and high fruit miraculin content, big fruit size, high fruit edible ratio (for processing companies).


This study revealed stronger variations in current management practices across ecological zones than across sociolinguistic groups. A high similarity was shown in end-users’ preferences for breeding traits across the study area. Top key traits to consider in breeding varieties of S. dulcificum to meet various end-users’ expectations in West Africa include fruit size and fruit miraculin content. These results constitute a strong signal for a region-wide promotion of the resource.


Synsepalum dulcificum is a slow-growing and long-living West African native fruit tree species belonging to the Sapotaceae family. The species can grow up to a height of 7.5 m at maturity (120 years old) with a crown diameter ranging from 0.75 to 8.8 m (Fig. 1A, B) [1]. Its mature and ripe fruits are 7–18-mm-wide and 13–26-mm-long oblong to ovoid-shaped red berries (Fig. 1C–E) [1] named “miracle berry”. The fruit is on average 10.5 mm wide and 18.8 mm long, whereas the tree is on average 3.4 m tall. The species is thought to combine both autogamy and allogamy though the preponderant mating system is yet to be determined [2]. Synsepalum dulcificum is mainly propagated by seeds, which are recalcitrant [3, 4]. Alternative propagation methods such as cutting and layering are not commonly used because of the difficult adventitious rooting in the species.

Fig. 1

Traits variation in Synsepalum dulcificum. Tree size variation (A-B); Fruit size variation (C) and fruit shape (D: oblong fruit, E: Ovoid fruit) variation

Globally classified as a Least Concern species (Link 1), S. dulcificum is threatened and endangered in West Africa [1, 5, 6], its centre of origin and diversity, but is considered as one of the most valuable neglected berry crops because of its potential worldwide. The miracle berry is a unique natural source of miraculin, a sweetening glycoprotein that changes sour taste to sweet [7] and serves as a natural sweetener in the food and beverage industries [8, 9]. It is also used in diabetes and cancer treatments [10] as well as in cosmetics for the treatment of hair breakage [11]. However, S. dulcificum remained poorly documented from many points of view; for instance, information related to its management practices, production constraints and trade chain does not exist. Internationally, the miracle berry fetches a high price (over USD 2500/kg) (Link 2, Link 3), but income generation from the species by farmers at the grass-root level is yet to be properly documented. Similarly, knowledge on end-users’ preferred traits, though fundamental to breeding in the species, is still lacking. A thorough characterization of the species recently conducted in Benin, Togo and Ghana revealed three phenotypic groups discriminated by the combined tree and fruit traits, which suggested a significant trait variation in the species [1]. Specifically, it was established that S. dulcificum trees in Ghana (wetter region) produced longer, larger and heavier fruits than trees sampled in Benin (drier region) [1]. However, the extent to which the local populations perceived such traits variation in general and whether they can recognize any variant/morphotype in the species are yet to be documented. Using random amplified polymorphic DNA markers, Chibuzor et al. [12] reported low genetic variation in Southern Nigerian populations of the species.

Participatory elicitation of breeding traits preference as a premix to implementing sound breeding programmes in plant species has been the centre of interest of many studies tackling a diversity of crop commodities including cereals [13, 14], legumes and pulses [15,16,17], vegetable, tuber and root crops [18,19,20,21]. Noticeably, the core of these works was on annual and bi-annual crops; and except the works of the World Agroforestry Centre in its effort to promote the domestication of indigenous fruit tree species [e.g. bush mango, Irvingia gabonensis (Aubry-Lecomte ex. O'Rorke) Baill.; safou tree, Dacryodes edulis (G. Don) HJ Lam; and vegetable tallow tree (Allanblackia floribunda Oliv.)] [22], studies on participatory breeding in African indigenous fruit tree crops are limited [23]. In addition, these participatory studies mostly focused on “farmers” and did not integrate other user target groups such as final consumers or even processors, whose preferences are equally important and could somehow affect the definition of breeding objectives. This focus on farmers only, consequently constitutes a limitation that has also been highlighted by Hussein [24] and Anja et al. [25]. These authors emphasized on the necessity to expand trait preference evaluation exercise to various user groups to decipher as much as possible diversity in preferences.

Trends in preference for breeding traits by farmers indicated the influence of numerous factors including ecological conditions and socio-demographic factors such as ethnicity, gender and landholding [17, 19, 26], among others. In Nigeria for instance, while women emphasized the processing traits (e.g. easy to peel) in cassava (Manihot esculenta Crantz), men were more interested in agronomic traits [27]. The same authors also reported that traits such as “early maturity” and “high yielding” were more frequently sought-after by farmers in Southeast Nigeria compared with those in the Southwest, whereas the reverse held true when it came to a trait such as “cooking time”. A comparison of preference for groundnut (Arachis hypogaea L.) revealed that while farmers in Ethiopia put a particular emphasis on traits such as early maturity, shell yield and drought resistance, those in Togo mainly targeted pod yield, pod size and oil yield [15, 28]. In contrast, a high similarity was observed between Benin and Togo farmers for trait preference in groundnut [15, 29]. In ackee (Blighia sapida K.D. Koenig), a minor multipurpose fruit tree species, preference for fruit-traits varied among Benin sociolinguistic groups; the Batoonuu group considered exclusively the fruit size, the Natemba group preferred the aril colour, while the Otamari rather indicated the aril size as their trait of interest [23]. Instances of sociolinguistic group-specific preferred breeding traits were also reported in Kersting's groundnut [Macrotyloma geocarpum (Harms) Maréchal and Baudet] [17], groundnut [29] and African locust bean (Parkia biglobosa Jacques) [30], among other crop species. It is also well studied that production constraints account for an important part in articulation and ranking of preferred breeding traits by farmers [31]. Consequently, the intensity of management practices defined as a set of actions directly or indirectly implemented by farmers to ensure the availability and the sustainability of plant production [32] is likely to shape farmers’ preference for breeding traits.

Building on the above-mentioned limitations, this study was undertaken to assess the interrelationships between socio-demographic factors, ecological conditions, management practices, diversity and preference for breeding traits of three different end-user groups of the miracle plant [Synsepalum dulcificum (Schumach & Thonn.)] in West Africa that included the farmers, the final consumers and the processing companies.

This study conducted in Ghana and Benin addressed the following questions: (i) What are the ongoing management practices in S. dulcificum and how are they influenced by socio-demographic factors and agro-ecological conditions? (ii) How diverse are end-users’ desired breeding traits in the species and to what extent are they influenced by socio-demographic variables and agro-ecological conditions? and (iii) How similar are desired breeding traits among farmers, final consumers and industrial processors? The answers to these questions will pave the way for defining sound breeding objectives to meet multiple actors’ preferences for the species in West Africa.


Study area

This study was conducted from April to December 2019 in Benin and Ghana (Fig. 2), two West African countries indicated as the centre of origin of S. dulcificum [2]. In Benin, S. dulcificum is confined to only one (Guineo-Congolian zone) out of the three ecological zones of the country, whereas in Ghana it is found in three (Evergreen forest, Deciduous forest and Transitional zones) out of the six ecological zones of the country. Six regions (three per country) were chosen based on the presence of the species. While in Benin all the three regions (Zou, Mono, Couffo) were part of the Guineo-Congolian ecological zone, those of Ghana (Volta region, Eastern region and Western region) belonged to two distinct ecological zones: the Evergreen ecological zone represented by the Western region, and the Deciduous forest ecological zone represented by the Eastern and Volta regions.

Fig. 2

Map showing the study area

The Guineo-Congolian zone (GC) in Benin is characterized by a sub-equatorial climate with a bimodal rainfall pattern [33]. The rainfall ranges from 900 to 1300 mm with an average of 1200 mm while the annual temperature ranges between 25 and 39 °C with an average of 28 °C. The region experiences a relative humidity ranging between 69 and 97% [5, 34], and dominant soil types include ferralitic and ferruginous soils. The Deciduous forest ecological zone (DF) in Ghana also has a bimodal rainfall pattern with an annual rainfall varying from 1200 to 1600 mm with an average of 1500 mm [35]. The mean annual temperature in this ecological region is 26.4 °C and the soil is predominantly of eutric nitosol type [36]. In the Evergreen forest ecological zone (EF) of Ghana, the rainfall ranges from 800 to 2800 mm with an average of 2200 mm [35]. The mean annual temperature is 26.1 °C and predominant soil types are acrisols and ferralsols [35,36,37]. In terms of moisture gradient, EF is a moist zone, DF a moderately moist and GC a dry zone.

Interview sampling method

Individual respondents (farmers and final consumers)

Six sociolinguistic groups (three in Benin and three in Ghana) were selected for this study. In Benin, these groups included the Fon, Adja and Sahouè, while in Ghana, the three groups were Akan, Ga-adangbe and Ewe. The Ewe and Ga-adangbe groups inhabit the Deciduous forest ecological zone, while the Akan group was found in both Deciduous and Evergreen forest ecological zones. The study focused on informants who had the species on their farms to gather information on management practices and preferences [38]. Consequently, we combined convenience sampling and snowball techniques, two commonly used non-probability sampling methods [39, 40], to select the respondents. Snowball was used to identify potential respondents who own and or cultivate the species. The final respondents then included those who (i) had at least 5 years’ experience in the management or cultivation of the species, (ii) had their trees already in reproductive phase (bearing fruits), (iii) were miracle berry-consumers and (iv) had formally given their consent to participate in the study after the aim of the study was explained to them. These filters were imposed to ensure that respondents fully addressed the research questions.

Industrial processing company

To identify S. dulcificum processing companies in Benin and Ghana, we conducted online research, crossed-checked with the information provided by owners/farmers. They were asked to list any company they traded their product with or were aware of. Internet search was conducted in the Google search engine with the following research terms: (1) “Miracle:berry / Sweet:berry / Synsepalum dulcificum; Company; Ghana / Benin”, (2) “Miracle:berry / Sweet:berry / Synsepalum dulcificum + Company + Ghana / Benin”, (3) “Miracle:berry / Sweet:berry / Synsepalum dulcificum:Company:Ghana / Benin”. The identified processing companies were contacted afterwards, and those who gave their consent were included in the study.

Data collection

Individual respondents (farmers and final consumers)

Semi-structured interviews based on a questionnaire were combined with field visits to collect data on individual respondents. Interviews were conducted using the respondents’ preferred language, which was either Adja, Fon, or Sahouè in Benin; and Twi, Ewe, or Ga in Ghana. To facilitate the communication between interviewers and interviewees, each interviewer (where necessary) was accompanied by a well-trained local guide (who understood both the interviewee-spoken language and Fench/English) to facilitate the questions/answers translation. Direct interviews using either English or French were done, where necessary.

The data collected were related to (i) the socio-demographic background of the informants, (ii) S. dulcificum ownership (individual trees: miracle plant trees found isolated (not in a group) versus plantation: in which the miracle plant trees were found in a group ( > 100 trees in the context of this study) installed in a clear layout marked by a regular spacing among trees, (iii) the production system in which the species has evolved (home garden: a production system near dwellings, and somehow well controlled by the owner for the target products versus on-farm: an open agricultural production space usually farther away from the dwellings and larger than a home garden [1, 41]), (iv) the relative importance of S. dulcificum in the production system, (v) cropping practices of S. dulcificum, (vi) the informant’s awareness of grown S. dulcificum morphotypes and varieties, (vii) the farmers’ desired-traits for an improved variety of S. dulcificum and (viii) the final consumer-desired breeding traits for an improved variety of S. dulcificum. To characterize the production system in which S. dulcificum is involved and the relative importance of this latter in the whole system, S. dulcificum-based production systems were visited, and the top five most important species based on all possible functional attributes held (food, medicine, market value etc.) were elicited with the farmer. Then, the pairwise comparison technique was used to score each of the five species mentioned by the farmer on a scale ranging from 0 (the least important crop) to 5 (the most important one). The same listing of the five most important attributes and their subsequent scoring in a pairwise comparison scheme was also applied to (i) the farmer-desired traits for an improved variety of S. dulcificum and (ii) the final consumer-desired breeding trait for an improved variety.

The taxonomic identification of the species, indicated as important by the respondents, was first done in situ by the first author using available flora resources including the analytical flora of Benin [42], the trees, shrubs and lianas of West African dry zones manual [43], and the plant list ( online resource [44]. The identifications were afterwards confirmed through a formal taxonomic identification at the National Herbarium of Benin.

Industrial processing companies

A focus group interview was held with four members holding different positions in one processing company to collect information related to the company genesis, company production objectives and desired breeding traits for a variety suitable to each of the company’s production line as well as the pairwise ranking of these desired traits.

Data analysis

The R environment version 3.6.2 [45] was used for data analyses.

Descriptive statistics (mean, standard error, range and frequency) were computed on the socio-demographic characteristics of respondents using the functions descript () and crosstab () of the package ‘misty’ [46]. The major plant species in the farmer’s production system, as well as the relative importance of S. dulcificum in the system, were assessed using descriptive statistics computed on scores obtained from the pairwise ranking. A χ2 test or Fisher exact test (to account for observation count < 5) was used to test dependence between S. dulcificum holding systems and categorical socio-demographic factors (gender, ethnicity, instruction levels) on one hand, and ecological zone on the other. To characterize the importance of management practices in the species, we followed the framework developed by Blancas et al. [47] to propose a new index, the boosted management intensity index (BMI), which is adapted from the management intensity index (IM) developed by Sogbohossou et al. [39]. This new index is based on ten key indicators of management practices (Table 1) and incorporates weighing coefficients to reflect better the situation in perennial species where certain practices are to be repeated over time. The coefficients are proposed to consider elapsed time since some management practices (e.g. pruning, weeding) were applied for the last time. For a specific respondent j the BMI is computed as:

$$ {BMI}_j=\sum \limits_{i=1}^m{IL}_i+\sum \limits_{i=1}^m{C}_i{ML}_i+\sum \limits_{i=1}^m{C}_i{UI}_i+ PSD+ RH+\sum \limits_{i=1}^m{UT}_i+ TH+ TI+ LF+ MF $$
Table 1 Variables used in the computation of the boosted management intensity index (BMI)

where BMIj is the index computed for the respondent j, m is the total number of management practices constituting a specific management variable, Ci is the weighing coefficient associated to a management practice i, ILi is the score for the practice i of the variable “establishment labour”, MLi is the score for the practice i of the variable “management labour”, UIi is the score related to the use of input, PSD is the score related to the distance to the cultivation/production site, RH is the score related to the reaction to an unauthorized harvest, UT is the score related to the use of tools in the species management, TH is the score related to the type of harvest, TI is the score related to the time invested in the species management, LF is the score related to the labour force invested in the species and MF is the score related to the management form.

The variation of BMI following ecological zone and socio-demographic factors was analysed using a generalized linear model with a Poisson or quasi-Poisson (to account for overdispersion) error structure. The effect of the holding system on income generation was analysed using a Wilcoxon test due to normality assumption violation. We used the prop.test-based binomial test to assess the difference in fruit production objective following ecological zone and sociolinguistic group. The similarity of farmer’s and final consumer’s desired breeding traits among ecological zones, gender, and sociolinguistic groups on one hand, and the similarity of traits preference among farmers, final consumers and processors on the other were analysed using the general multi-group similarity index (\( {\mathrm{C}}_{\mathrm{S}}^{\mathrm{T}} \)) computed following Diserud and Ødegaard [11] as:

$$ {\mathrm{C}}_{\mathrm{S}}^{\mathrm{T}}=\frac{T}{T-1}\left(\frac{\sum \limits_{i<j}{a}_{ij}-\sum \limits_{i<j<k}{a}_{ij k}+\sum \limits_{i<j<k<l}{a}_{ij k l}-\sum \limits_{i<j<k<l<m}{a}_{ij k l m}+\dots }{\sum \limits_i{a}_i}\right) $$

where T is the total number of groups for which the index is computed, ai is the number of traits listed by the group Ai, i =1, 2, 3,…,T; aij is the number of traits shared by groups Ai and Aj; aijk is the number of traits shared by Ai, Aj, Ak etc.

\( {\mathrm{C}}_{\mathrm{S}}^{\mathrm{T}} \) value ranges from 0 (no similarity in traits preference) to 1 (total similarity in traits preference). An illustration of the calculation of this index is provided in Table 2.

Table 2 Calculation of the general similarity index for more than two groups

The agreement in the ranking of farmer-desired breeding traits across ecological zones and across sociolinguistic groups was assessed with the Kendall-W coefficient of concordance computed using the function Kendall () of the ‘irr’ package [48]. The same coefficient was also computed in the case of final consumer-desired traits and to analyse the concordance in the ranking pattern of desired traits by the three user groups (farmers, final consumers, and processors) in this study.


Socio-demographic characteristics of respondents

A total of 300 individual respondents were interviewed in this study. The distribution of the sampling size across ecological zones and sociolinguistic groups as well as the socio-demographic background of these respondents are detailed in Supplementary Table S1, Additional file 1. The proportion of women (13.67%) involved in S. dulcificum management was significantly lower than that of men (86.33%) (χ2 = 313.9, df =1, p < 0.0001). The goodness of fit test indicated that this ratio 14:86 of women/men holding the species was statistically constant across sociolinguistic groups (χ2 ≤ 0.96, df = 1, p > 0.05) and ecological zones (χ2 ≤ 0.39, df = 1, p > 0.05). The holders of S. dulcificum were mainly autochthons (χ2 = 420.01, df = 1, p < 0.0001) with 67% of them educated; and approximately 40% of them reached the level of secondary school (χ2 = 189.16, df = 4, p < 0.0001). Almost all respondents were married. The youngest respondent was 25 years old, an Adja, whereas the oldest was 102 years old from the Ga-adangbe sociolinguistic group. On average, the respondents were 55.47 ± 0.91 years old. Household size ranged from 2 to 30 with an average of 7.25 ± 0.24 members per household and differed significantly across ecological zones (p < 0.0001) and sociolinguistic groups (p < 0.0001).

Profile of miracle berry processing companies

Two companies, based in Ghana, namely “Sweet Life Group Ghana Limited” and “Miracle Fruit Processing Ghana Limited” invested in miracle berry processing in the study area. Miracle Fruit Processing Ghana Ltd, formerly known as MB Group Ghana and created in 2015, is well known by farmers (100% of plantation owners) in Ghana. On the contrary, no farmer mentioned the Sweet Life Group Ghana Ltd company, which is still operating. This latter company declined to participate in the study; so, only information from one company is captured in this study.

Synsepalum dulcificum holding systems

Across the three ecological zones, the miracle plant was found in two production systems, namely home garden, and on-farm (Fig. 3A–D). While in the Guineo-Congolian zone the species was exclusively observed as individual trees (Fig. 3A), in the Deciduous and Evergreen forest zones it was present as either individual trees (Fig. 3B) and/or a commercial plantation (Fig. 3C, D).

Fig. 3

Synsepalum dulcificum in various production systems

Owners of individual trees of S. dulcificum represented 97.66% of respondents. The total number of individual trees they owned varied from 1 to 36 with an average of 2.79 ± 0.21 trees. Gender did not affect the number of individual trees of S. dulcificum owned (p = 0.427). In contrast, this number differed significantly among sociolinguistic groups (p = 0.006), with the Ga-adangbe (4.57 ± 0.64 trees) and the Ewe (3.30 ± 0.54 trees) owning two-fold more trees than the Fon (1.60 ± 0.12 trees). In parallel, respondents from the Deciduous forest zone (3.41 ± 0.32 trees) owned more trees than those from the Guineo-Congolian zone (1.84 ± 0.32 trees) (p < 0.001).

Within the Deciduous forest and Evergreen forest ecological zones, the main holding system depended on the sociolinguistic group affiliation (Fisher exact, p = 0.001), with the Akan being the only group owning plantations of S. dulcificum. Likewise, there was a significant association between instruction level and miracle plant holding system (Fisher exact, p = 0.002), and only educated respondents held plantations of S. dulcificum. Though only men owned S. dulcificum plantations, the test of independence indicated no significant association between gender and holding system (Fisher exact, p = 0.59). We recorded a total of 17 plantations in this study. The total number of plantations held per owner varied from 1 to 4 and with an average of 2.47 ± 0.36 plantations per owner. The size of a S. dulcificum plantation ranged from 0.16 to 89.03 ha in the study area, whereas the per-farmer cumulated acreage of S. dulcificum plantations ranged from 0.60 to 109.26 ha, out of which only 0–8.09 ha (representing approximately 8% increase relatively to the existing plantation acreage before 2015) were installed following the advent of the miracle fruit processing company, which indicated that most of the plantations were established before the company arrival. This illustrated that the company arrival did not boost or has not impacted yet the species plantation expansion.

Synsepalum dulcificum relative importance in production systems

A total of 62 plant species from 32 families (Supplementary Table S2, Additional file 1) were recorded in the respondents’ production systems across the three ecological zones. Eighteen and 24 out of these 62 species had citation frequencies higher than 5% in home garden and on-farm production systems, respectively. The most important species for the respondents (Table 3) were significantly dominated by perennials in the home garden system (χ2 = 9.00, df = 1, p = 0.002), whereas annual species were as represented as perennial species in the on-farm production system (χ2 = 2.08, df = 1, p = 0.14). In general, S. dulcificum appeared poorly ranked in respondents’ production system, though it was perceived as more important in the home gardens than on-farm. Nevertheless, a disaggregated analysis indicated that S. dulcificum importance was differentially perceived across ecological zones and sociolinguistic groups. In the Evergreen forest ecological zone, S. dulcificum ranked 2nd and 3rd in home garden and on-farm production systems, respectively, whereas in Deciduous forest and Guineo-Congolian zones it was not in the top five species (Table 4). Similarly, the species was more integrated into Akan’s and Sahouè’s production systems than in any other sociolinguistic group (see Additional file 2). In contrast, both men and women ranked S. dulcificum out of the top 5 most important species (Supplementary Table S3, Additional file 1). Most important species included cocoa (Theobroma cacao L.), maize (Zea mays L.), oil palm (Elaeis guineensis Jacq.) and cassava (Manihot esculenta Crantz).

Table 3 Diversity and relative importance of frequently involved species in Synsepalum dulcificum-based production systems
Table 4 Per ecological zone- disaggregated importance of species involved in Synsepalum dulcificum-based production systems

Synsepalum dulcificum management practices

Types and sources of planting materials

In the study area, respondents mainly used two types of planting material for the establishment of S. dulcificum: seeds, seedlings, or a combination of both. Overall, respondents used seedlings (55.21%) more frequently than seeds (44.79%) (χ2 = 4.60, df = 1, p = 0.03). While the choice of planting material depended neither on gender (χ2 = 1.20, df = 2, p = 0.55) nor on sociolinguistic group affiliation (χ2 = 15.37, df = 10, p = 0.14), we observed that inhabiting the Evergreen forest ecological zone strongly conditioned the use of seedlings as the only planting material (χ2 = 14.95, df = 4, p = 0.004). Likewise, seeds were more frequently used in home-garden, and seedlings for on-farm production (χ2 = 2.60, df = 1, p = 0.08).

These planting materials were obtained by farmers from four different sources including research centres, markets, immediate neighbour (sourcing neighbour located at < 5-km radius far from the respondent) and far-off neighbour (sourcing neighbour located at ≥ 5-km radius far from the respondent). Immediate neighbour was by far the commonest means of sourcing S. dulcificum planting material (χ2 = 174.29, df = 3, p < 0.0001). Seeds obtained from immediate neighbour or far-off neighbour were systematically sown without any clear selection criteria, while seedlings, which were not produced per se, but rather just uprooted beneath mother trees and transplanted were selected considering their vigour. The relative importance of each source disaggregated by ecological zone and sociolinguistic group is presented in Fig. 4. A research centre as source of planting material was only reported by respondents in Deciduous and Evergreen forest ecological zones, while purchase from the market only occurred in the Guineo-Congolian ecological zone. There, only the Adja and Fon respondents bought planting materials from the market, whereas in Ghana, only the Akan and Ga-adangbe accessed planting materials from a research centre. The Ewe and Sahouè respondents only accessed both seeds and seedlings from neighbours as gifts.

Fig. 4

Relative importance of Synsepalum dulcificum planting materials’ source across ecological zones (A; Guineo-Congolian: Guineo-Congolian zone; Deciduous: Deciduous forest and Evergreen: Evergreen forest) and sociolinguistic groups (B)

Variation of management intensity of Synsepalum dulcificum

The ten variables summarizing the set of management practices in S. dulcificum are indicated in Table 1. The combination of all these variables indicated that the boosted management intensity index (BMI) of S. dulcificum was on average 14.61 ± 0.24 and ranged from 7.00 to 34.00. This management intensity was significantly affected by the ecological zone and some socio-demographic factors. Management intensity index was two-fold higher in the Evergreen forest ecological zone (BMI = 29.0 ± 1.70) than in Deciduous forest (BMI = 14.54 ± 0.30) and Guineo-Congolian (BMI = 14.19 ± 0.32) zones (Fig. 5A), while the species management by women (BMI = 14.46 ± 0.57) was as intense as by men (BMI = 14.63 ± 0.26) (Fig. 5B). Regarding the influence of sociolinguistic groups, the Akan managed more intensely the species (BMI = 16.88 ± 0.86) than any other sociolinguistic groups, whereas the lowest management intensity index was obtained with the Sahouè sociolinguistic group (BMI = 13.26 ± 0.59) (Fig. 5C). Instruction level also exerted a significant effect on the management intensity (Fig. 5D) though increased instruction level did not necessarily reflect in higher management intensity. Plantations (BMI = 30.14 ± 1.14) were also better managed compared with individual trees (BMI = 14.24 ± 0.20) (p < 0.0001). There was no correlation between respondents’ age and management intensity (r = 0.02, p = 0.69) on one hand, and between experience in the species management and management intensity (r = − 0.03, p = 0.57) on the other.

Fig. 5

Variation of management intensity index in Synsepalum dulcificum following ecological zones (A; Guineo-Congolian: Guineo-Congolian zone; Deciduous: Deciduous forest and Evergreen: Evergreen forest), gender (B), sociolinguistic groups (C) and instruction levels (D)

Farmers’ awareness of morphotypes in Synsepalum dulcificum

For 100% of respondents, there is no variety of S. dulcificum. However, 6.33% of respondents indicated the existence of different morphotypes that they essentially distinguished through the difference in fruit size and fruit exocarp colour. Where morphotypes were reported, 100% of respondents differentiated big fruit sized from small fruit sized morphotypes, whereas only one out of the 300 respondents (from the Deciduous forest ecological zone of Ghana, and the Ga-adangbe sociolinguistic group) indicated the existence of a yellow morphotype in addition to the ordinary known red morphotype.

Farmer-desired breeding traits in Synsepalum dulcificum

Among the respondents, 94.60% expressed the desire to have a variety/an improved variety of S. dulcificum. Those not desiring any improved variety indicated that an improved variety will not be as “powerful” as the actual landraces, specifically referring to a reduction in the species phytochemical compounds.

In total, 18 breeding traits (Table 5) were mentioned by farmers as of interest in any new/improved variety. Overall, the top five farmer-desired breeding traits were: big fruit size > early fruiting > high fruit yielding > dwarf tree > high fruit miraculin content. We recorded one women-specific preferred trait, that was, “uniformity of fruit ripening”, and four men-specific preferred traits, which included: “extended on-tree fruit shelf life”, “high fruit edible ratio”, “low fruit shedding”, and “long biological productivity period”.

Table 5 Desired breeding traits by Benin and Ghana farmers for an improved variety of Synsepalum dulcificum

The general multi-group similarity indices for farmer-desired breeding traits across the three ecological zones and six sociolinguistic groups were \( {\mathrm{C}}_{\mathrm{S}}^3=0.84 \) and \( {\mathrm{C}}_{\mathrm{S}}^6=0.94 \), respectively. Regarding the ecological zones, the Deciduous forest and Guineo-Congolian ecological zones exhibited a higher similarity for farmer-desired breeding traits (\( {\mathrm{C}}_{\mathrm{S}}^2=0.94 \)) than any other pair of ecological zones (\( {\mathrm{C}}_{\mathrm{S}}^2=0.56 \) for the pair Guineo-Congolian and Evergreen forest zones; \( {\mathrm{C}}_{\mathrm{S}}^2=0.61 \) for the pair Deciduous forest and Evergreen forest zones). Likewise, the highest pairwise similarity index between sociolinguistics groups was obtained for Akan-Ewe\( \left({\mathrm{C}}_{\mathrm{S}}^2=0.96\right) \) and the lowest one for Ga-adangbe-Sahouè \( \left({\mathrm{C}}_{\mathrm{S}}^2=0.74\right) \)(Table 6).

Table 6 Similarity of farmer-desired breeding traits for S. dulcificum across sociolinguistic groups. Values in the lower diagonal are pair-wise similarity indices of desired traits and those in the upper diagonal are Kendall-W concordance coefficients for traits ranking

Respondents in Guineo-Congolian and Deciduous forest ecological zones exhibited a perfect agreement in the ranking pattern of their desired traits (Kendall-W = 1.00). For respondents of these two ecological zones, big fruit size, early fruiting and high fruit yielding were the top three desired traits for an improved variety of S. dulcificum, whereas their counterparts of Evergreen forest ecological zone, instead targeted resistance to biotic stresses, early fruiting, and high fruit yielding as traits of interest (Table 7).

Table 7 Ecological zone-based variation of the top five farmer-desired breeding traits for an improved variety of Synsepalum dulcificum

Traits such as big fruit size, early fruiting, high fruit yielding and dwarf tree were consistently ranked among the first four most important farmer-desired breeding traits (Table 8) by the sociolinguistic groups of Benin i.e. Adja, Fon and Sahouè. These sociolinguistic groups also exhibited a very high agreement in their ranking pattern (Kendall-W > 0.90, Table 6). In contrast, a lower agreement was observed among Ghana sociolinguistic groups, the maximum concordance coefficient of desired-traits was 0.90 (Table 6). For instance, for Ewe and Ga-adangbe, big fruit size was the most important trait desired for an improved variety, while their counterpart Akan rather targeted a high fruit yielding variety (Table 8).

Table 8 Sociolinguistic group-based variation of the top five farmer-desired breeding traits for an improved variety of Synsepalum dulcificum

Local consumers’ preferences for breeding traits in Synsepalum dulcificum

The 300-interviewed miracle berry final consumers in Benin and Ghana together listed a total of nine desired traits for an improved variety adapted for consumption. Out of these traits only five, which also represented the top five desired traits have a citation frequency higher than 5% (Table 9). Overall, desired traits were 94.56% similar across the three ecological zones and 83.60% identical across the six sociolinguistic groups. The highest pairwise similarity index of final consumers’ desired breeding traits was obtained between respondents of Deciduous forest and Guineo-Congolian zones (\( {\mathrm{C}}_{\mathrm{S}}^2=0.87 \)), while the highest agreement in traits ranking pattern was observed between respondents from Deciduous forest and Evergreen forest ecological zones (Kendall-W = 0.90). The lowest agreement coefficient (Kendall-W = 0.40) of these traits ranking was also observed between final consumers of Guineo-Congolian and Evergreen forest ecological zones. Regarding the sociolinguistic groups, Adja and Sahouè final consumers preferred similar traits, while Adja and Ga-adangbe final consumers, on one hand, and Sahouè and Ga-adangbe final consumers, on the other hand, exhibited the most divergent preference for desired breeding traits (Table 10).

Table 9 Final consumer-desired breeding traits for an improved variety of Synsepalum dulcificum
Table 10 Pair-wise similarity index across sociolinguistic groups for all consumer-preferred traits for an improved variety of Synsepalum dulcificum. Values in the lower diagonal are pair-wise similarity indices of desired-traits and those in the upper diagonal are Kendall-W concordance coefficients for traits ranking

Based on the ecological zone, all final consumers concurred on “big fruit size”, “high fruit miraculin content” and “fruit freshness” as the three most desired traits to consider in breeding an improved miracle berry variety (Table 11). Fruit shape and low potency were the two “men-specific” traits recorded in this study. All the final consumers belonging to Benin’s sociolinguistic groups ranked big fruit size as the most desired trait in an improved miracle berry variety, whereas the Ghanaian sociolinguistic groups indicated “high fruit miraculin content” as their most desired trait in a variety of S. dulcificum (Table 12). Nevertheless, the final consumers of five out of the six sociolinguistic groups investigated in this study ranked “big fruit size”, “high fruit miraculin content” and “fruit freshness” as their top three preferred traits for an ideal variety of miracle plant. This was reflected in the high overall concordance coefficient of 0.78 (Table 12).

Table 11 Ecological zone-based variation of the top five consumer-desired breeding traits for an improved variety of Synsepalum dulcificum
Table 12 Sociolinguistic group-based variation of the top five consumer-desired breeding traits for an improved variety of Synsepalum dulcificum

Processor-desired breeding traits in Synsepalum dulcificum

At the end of the focus group discussion held with sections' managers from the Miracle Fruit Processing Ghana Ltd company, a total of five main preferred breeding traits were listed in order of importance as: “high fruit miraculin content”, “big fruit size”, “high fruit edible ratio” and “fruit freshness” (for the miracle fruit powder production line) and “high seed portion” (for the dry seed production line).

Consistency among end-users’ desired breeding traits in Synsepalum dulcificum

The consistency analysis of the top five desired breeding traits among farmers, final consumers and industrial processors (Table 13) revealed a good level of similarity (\( {\mathrm{C}}_S^3=0.60 \)) among the three end-user groups although agreement in ranking of these desired traits was in general very low (Kendall-W = 0.11). However, the pairwise similarity index between these three end-user groups revealed that final consumers’ and industrial processors’ top five desired breeding traits were highly similar (80% similarity index), and almost in perfect agreement on the ranking pattern (Kendall-W = 0.90). Conversely, desired breeding traits for an improved variety were divergent from farmers and final consumers, on one hand, to farmers and processors, on the other hand. Either way, the most important traits for all three groups included big fruit size and high fruit miraculin content.

Table 13 Consistency parameters among miracle berry end-users for preferred breeding traits in Synsepalum dulcificum in Benin and Ghana


Respondents socio-demographic profile, tree holding system and relative importance of Synsepalum dulcificum in current production systems

Men were the main respondents in this study as they were the most involved in S. dulcificum management. This comes without surprise as it is known that management of perennial species is mainly carried out by men [49]. Indeed, planting perennial species is culturally bound with land ownership [50] and it is true that in West Africa, men are the prominent landowners [51]. For instance, in this study, men had on average 9.16 ± 2.77 ha, whereas women only had 2.53 ± 0.03 ha. However, the more frequent involvement of men in S. dulcificum management is not translated into a higher number of trees held compared with women. This finding aligned with that of Fandohan et al. [6] who did not detect any differences in the number of S. dulcificum trees possessed by men and women in Benin, but is contrary to observation in other perennial species [e.g. bitter kola (Garcinia kola Heckel)] [52] where men owned more trees than women. This implies that if given the opportunity, women can contribute equally as men to conserve and manage S. dulcificum, as their management intensity index is also statistically comparable to that of men in this study.

Our findings also corroborated results of Fandohan et al. [6] on the variation in the number of trees possessed following sociolinguistic group affiliation. Moreover, we detected an ecological gradient signal in the number of trees possessed, with respondents in drier ecological zones owning fewer trees compared with those in moister ecological zones. This confirms the crucial role of water availability and rainfall in the establishment and development of the species [53]. We could also speculate that the more market-oriented production in Ghana (moister ecological zones than in Benin) compared with Benin where the market is still emerging could have provided incentives for Ghanaian farmers to protect/grow more trees, though less than 5% have commercial plantations.

Crops listed by respondents as being important in their production system mostly included those already well established due to their high potential to contribute to food security (e.g. maize, cassava [54]) and substantial income/cash generation (e.g. cocoa, coffee [55]) or to stand as multi-purpose species (e.g. palm oil combining high market and food values). Yet, it is found in this study that miracle berry could locally generate up to USD 893.76 as seasonal income while maintaining a high market value internationally with nearly USD 2500/kg of pure powder ( The poor ranking of the species despite its staggering market value might be explained by its low caloric value coupled with an incapacity of the current production system to expose the crop potential. As revealed by our findings, only a low proportion of respondents currently have the species in plantation while plantation size is still low. Then, it appears necessary to increase awareness of S. dulcificum potential to encourage more producers to meet the growing demand for the species. To that, unravelling socio-economic, biological and cultural drivers for sustainable cultivation of the species is required.

Synsepalum dulcificum management practices

Quality planting material is crucial for a successful establishment and subsequent development of tree species [56]. In this study, although seeds and seedlings were co-used by respondents, most of them established their trees/plantations using seedlings. This preference for seedlings transplanting was also reported in B. sapida [23] and G. kola [52] two other minor orphan tree crops, and partly appeared in the case of S. dulcificum as a strategy to skirt the difficulty to germinate its recalcitrant seeds [4]. According to farmers, using the seed compels one to quickly sow it, which is not the case with seedlings that have been harvested beneath S. dulcificum plants or orchards of which planting can be postponed and carried out later. Besides, using seedlings offered the advantage to select highly vigorous individuals, thus ensuring better growth and productivity. This could be the main reason why in the Evergreen forest ecological zone, which is dominated by plantations of S. dulcificum, respondents mainly used seedlings, sourced from the Plant Genetic Resources Research Institute, Bunso (a national research centre previously interested in promoting S. dulcificum in Ghana). As also observed in other crops such as Oryza sativa L. [57], Solanum tuberosum L. [58], M. esculenta [27] and M. geocarpum [17], exchange of plant materials prevailed in S. dulcificum among farmers and in all sociolinguistic groups, with sometimes the exchange taking place between farmers from distant districts. Contrary to observations in cassava where planting material exchange between farmers is partly through monetary means [27], planting material exchange in the case of S. dulcificum occurred only as a gift, probably because most of the respondents perceived the species as not important in their production system. The quasi-absence or inactivity of a research centre focusing on the crop could have also favoured the magnitude of landraces exchanged among farmers. However, the Adja and Fon were the only farmers who accessed planting materials from the market. This could result from them being the only two sociolinguistic groups that transact the fruit on local markets.

Our results revealed that management intensity varied following ecological conditions and sociolinguistic groups as reported by Blancas et al. [47], but also following farmer’s instruction level. Overall, management practices are easier and more rigorously applied when environmental conditions are conducive. As indicated above, the Evergreen forest ecological zone has a very high annual rainfall, which is favourable to the species. Besides respondents in that ecological zone being in contact with a research centre for the acquisition of planting materials, they could have also likely benefited from technical advice enabling them to accumulate knowledge to apply more rigorously management practices. Indeed, specific practices such as pegging, lining and pruning were applied by 60–100% of respondents in the Evergreen zone against only 11.5–26.1% of those in Deciduous forest and Guineo-Congolian zones. Furthermore, being educated offers a competitive advantage in terms of understanding potential, ability to take initiative, to innovate and to try new technologies [15, 59]. This might explain why the educated respondents in general exerted a higher management intensity. The Akan represented the only sociolinguistic group that owned plantations; and maintaining a high level of productivity in these plantations made it necessary for them to exert a higher maintenance effort, which would have translated into the highest management intensity index observed in this sociolinguistic group.

The lack of improved S. dulcificum variety confirmed the absence of breeding programmes for the crop in West Africa. In such a context, farmer’s knowledge represents a good asset to establish a sound and sustainable one. Indeed, farmers’ knowledge of morphological variation in the species is in line with literature reports. For instance, the small fruit- and big fruit-sized morphotypes distinguished by the farmers in this study were previously reported by Coronel et al. [60].

End-users’ preferences

This study highlighted a diversity of traits desired by S. dulcificum’s end-users and revealed that farmers desired more breeding traits than final consumers, while the farmers and final consumers combined desired more traits than industrial processors. This indicated a specialization tendency for trait preference along the species value-chain. Within either farmers’ or consumers’ groups, the high similarity of desired traits across not only ecological zones but also sociolinguistic groups implied that a unique variety will work for each group at the level of the West African sub-region. More importantly, both final consumers and farmers in ecologically closer zones tended to have a more similar preference for breeding traits. The trend in final consumer-desired breeding traits aligned with the ethnocentrism hypothesis which predicts that ethnically close final consumers exhibited a similar choice pattern towards specific produces [61].

It is reported that farmers ranked their preference for breeding traits to meet different scenarios including the necessity to mitigate or overcome their production constraints [62]. Here, the most important farmer-desired traits in S. dulcificum were towards ensuring a high profitability. Indeed, early fruiting reduces waiting time and ensures a quick acquisition of the marketable produce —the fruit—which is better harvested on short trees and whose size conditioned the yield, this latter together with the taste (miraculin content) being determinant in attracting clients. Fruit tree species have a long juvenility and early fruiting is a strongly desired trait for all of them. Bhargava and Srivastava [63] argued that early fruiting also helps reduce management period and cost and thus increases profitability. As reported in M. esculenta [27] and Musa spp. [62], gender-specific desired traits also exist in S. dulcificum and seemed to illustrate gender role in the species’ value chain. For instance, the “uniformity of ripening” was only mentioned by women who are known as the main harvesters/collectors and sellers of the fruit on local markets. For them, a uniform ripening could ensure a one-once and cost-efficient harvest as well as a grouped selling. Contrary to women, men do not sell the fruit in markets, but rather wait for retailers, processors or final consumers to come to them, hence their desire to have the ripe fruits to be on the trees over a longer period. This justifies the importance of the trait “extended on-tree fruit shelf life” that is specific to men. The significance of some traits poorly ranked today might increase in the future especially when it will come to large-scale cultivation. This is the case of the uniformity or ripening, a trait deemed of paramount importance in mechanized fruit harvesting [64].

For final consumers, a preferred variety of S. dulcificum should encompass traits that will contribute to attracting them and maximizing their satisfaction. Ahead of such traits is the miraculin content, driver of the landmark attribute of the miracle berry, that is, its ability to induce sweetness. This creates an impetus for exploitation of miraculin coupled with the fruit size and the fruit freshness. As indicated by our results, the ranking of these three traits at the overall level also corroborates their ranking across ecological zones and sociolinguistic groups, thus strengthening their high importance for final consumers.

Implications for future research and breeding

The moderate similarity of breeding traits among the three end-user groups suggested the necessity to foresee variety development per functionally similar group. Consequently, in the light of pairwise-similarity index obtained in this study, final consumers and industrial processing could be targeted when developing a specific variety and farmers exclusively when developing a different one. However, the three groups of end-users shared the most valuable desired traits in the species which include big fruit size and high fruit miraculin content.

Breeding perennial plant species is a long-lasting and demanding process in which each step is to be carefully conducted. In the case of S. dulcificum, the clear identification of end-users’ preferred traits at the beginning of the process constitutes a robust basis for subsequent steps. In this study, we identified the key traits that can be incorporated in any breeding programme targeting the species improvement in West Africa. In absence of improved varieties in the species, the first necessity is to develop materials that significantly outperform current landraces for the elicited traits. This requires the proper evaluation of the existing diversity for an informed choice of parental lines to be advanced. Synsepalum dulcificum being a tree species, the very first step in this attempt is to identify potential elite trees, taking into consideration end-users’ preferred traits and an in situ phenotypic characterization of the species in its centre of diversity could offer first insights. Besides, information on how end-user-desired traits are correlated could inform on the relevance of the development of index selection for parallel and multi-traits selection. Furthermore, a genome-wide scan of the phenotypically characterized groups will help establish sound breeding populations towards varietal development and ensure a sustainable management of the remaining genetic resource diversity. Given its perennial nature, S. dulcificum will also benefit from the implementation of genomic selection as a chief- approach in selection strategies.


This study is the first of its kind to analyse management practices and breeding traits preference by end-users in S. dulcificum. Our findings provide first-order information that will feed the on-going pre-breeding process of the miracle berry in West Africa. From the holding system to the revenue generated by the crop to major end-user’s preferred traits, this study compiled important information that will contribute to approaches to develop improved varieties and to enhance the crop’s value chain.

In particular, we found that management practices were relatively more advanced in the Evergreen forest ecological zone than in the two other ecological zones of the study, with the Akan applying more rigorously ideal practices. While individual tree ownership was, in general, the dominant holding system of the species in West Africa, a prominence of plantations was observed in the Evergreen zones of Ghana. Synsepalum dulcificum has the potential to become one of the main cash crops in West Africa; but for this to be effective, development of improved material for sustainable cultivation is desired. The most influential traits desired by end-users include early fruiting, high fruit yielding, big fruit size, long fruit shelf-life, tree dwarfism, high fruit edible ratio, high fruit miraculin content and fruit freshness. Consequently, any breeding programmes targeting the species’ improvement in West Africa should prioritize these traits to meet multi-actor expectations. Because S. dulcificum is currently poorly cultivated, there is a necessity to promote/value the crop and explore factors that serve as drivers to trigger its sustainable cultivation in West Africa in order to combine the preservation of a fragile biodiverse environment with the growing demand and enable grass-root populations to benefit from the species potential.

Availability of data and materials

The datasets supporting the conclusions of this article are included within the article (and its additional files).



Boosted management intensity index


Deciduous forest ecological zone


Evergreen forest ecological


Guineo-Congolian zone


United States of America


  1. 1.

    Tchokponhoué DA, Achigan-Dako EG, N’Danikou S, Nyadanu D, Kahane R, Houéto J, et al. Phenotypic variation, functional traits repeatability and core collection inference in Synsepalum dulcificum (Schumach & Thonn.) Daniell reveals the Dahomey Gap as a centre of diversity. Sci Rep. 2020;10(1):1–17.

    Article  CAS  Google Scholar 

  2. 2.

    Achigan-Dako EG, Tchokponhoué DA, N’Danikou S, Gebauer J, Vodouhè RS. Current knowledge and breeding perspectives for the miracle plant Synsepalum dulcificum (Schum. et Thonn.) Daniell. Genet Resour Crop Evol. 2015;62(3):465–76.

    CAS  Article  Google Scholar 

  3. 3.

    Tchokponhoué D, Achigan-Dako E, NʼDanikou S, Houdégbé A, Agossou C, Assogba-Komlan F, et al. Regeneration ability and seedling growth in the miracle plant Synsepalum dulcificum (Schumach. & Thonn.) Daniell. Fruits. 2018;73(1):13–21.

    Article  Google Scholar 

  4. 4.

    Tchokponhoué DA, N’Danikou S, Achigan-Dako EG. A combination of approaches evidenced seed storage behaviour in the miracle berry Synsepalum dulcificum (Schumach. et Thonn.) Daniell. BMC Plant Biol. 2019;19(1):117.

    PubMed  PubMed Central  Article  Google Scholar 

  5. 5.

    Adomou A. Vegetation patterns and environmental gradients in Benin. In: Department of Plant Sciences. Wageningen: University of Wageningen; 2005. p. 150.

    Google Scholar 

  6. 6.

    Fandohan AB, Gouwakinnou GN, Tovissode CF, Bonou A, Djonlonkou SFB, Houndelo LF, et al. Usages traditionnels et valeur économique de Synsepalum dulcificum au Sud-Bénin. Bois For Trop. 2017;332(332):17–30.

    Article  Google Scholar 

  7. 7.

    Kurihara K, Beidler LM. Taste-modifying protein from miracle fruit. Science. 1968;161(3847):1241–3

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  8. 8.

    Buckmire R, Francis F. Pigments of miracle fruit, Synsepalum dulcificum, Schum, as potential food colorants. J Food Sci. 1978;43(3):908–11

    CAS  Article  Google Scholar 

  9. 9.

    Tafazoli S, Vo TD, Roberts A, et al. Safety assessment of miraculin using in silico and in vitro digestibility analyses. Food Chem Toxicol. 2019;133(110762):1–10.

    Google Scholar 

  10. 10.

    Chen CC, Liu IM, Cheng JT. Improvement of insulin resistance by miracle fruit (Synsepalum dulcificum) in fructose-rich chow-fed rats. Phytother Res. 2006;20(11):987–92.

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Diserud OH, Ødegaard F. A multiple-site similarity measure. Biol Lett. 2007;3(1):20–2.

    PubMed  Article  PubMed Central  Google Scholar 

  12. 12.

    Chibuzor IA, Bukola O, Adejoke AO, Chidozie OP. Genetic assessment of the shrub Synsepalum dulcificum (Schumach & Thonn.) Daniell in Nigeria using the Randomly Amplified Polymorphic DNA (RAPD). Int J Genet Genom. 2017;4(6):45–50.

    Article  CAS  Google Scholar 

  13. 13.

    Mengistu G, Shimelis H, Laing M, Lule D. Assessment of farmers’ perceptions of production constraints, and their trait preferences of sorghum in western Ethiopia: implications for anthracnose resistance breeding. Acta Agr Scand B-S P. 2019;69(3):241–9.

    Google Scholar 

  14. 14.

    Sibiya J, Tongoona P, Derera J, Makanda I. Smallholder farmers’ perceptions of maize diseases, pests, and other production constraints, their implications for maize breeding and evaluation of local maize cultivars in KwaZulu-Natal, South Africa. Afr J Agr Res. 2013;8(17):1790–8.

    Article  Google Scholar 

  15. 15.

    Banla EM, Dzidzienyo DK, Beatrice IE, Offei SK, Tongoona P, Desmae H. Groundnut production constraints and farmers’ trait preferences: a pre-breeding study in Togo. J Ethnobiol Ethnomed. 2018;14(1):75.

    PubMed  PubMed Central  Article  Google Scholar 

  16. 16.

    Horn L, Shimelis H, Laing M. Participatory appraisal of production constraints, preferred traits and farming system of cowpea in the northern Namibia: implications for breeding. Legum Res. 2015;38(5):691-700 10.18805/lr.v38i5.5952.

  17. 17.

    Coulibaly M, Agossou CO, Akohoué F, Sawadogo M, Achigan-Dako EG. Farmers’ preferences for genetic resources of kersting’s groundnut [Macrotyloma geocarpum (Harms) Maréchal and Baudet] in the production systems of Burkina Faso and Ghana. Agronomy. 2020;10(3):371.

    CAS  Article  Google Scholar 

  18. 18.

    Muhinyuza JB, Shimelis H, Melis R, Sibiya J, Nzaramba MN. Participatory assessment of potato production constraints and trait preferences in potato cultivar development in Rwanda. Int J Dev Sustain. 2012;1(2):358–80.

    Google Scholar 

  19. 19.

    Placide R, Shimelis H, Laing M, Gahakwa D. Farmers’ perceptions, production and productivity constraints, preferences, and breeding priorities of sweetpotato in Rwanda. HortScience. 2015;50(1):36–43.

    Article  Google Scholar 

  20. 20.

    Agre AP, Bhattacharjee R, Dansi A, Becerra Lopez-Lavalle LA, Dansi M, Sanni A. Assessment of cassava (Manihot esculenta Crantz) diversity, loss of landraces and farmers preference criteria in southern Benin using farmers’ participatory approach. Genet Resour Crop Evol. 2017;64(2):307–20.

    Article  Google Scholar 

  21. 21.

    Bechoff A, Tomlins K, Fliedel G, Becerra Lopez-Lavalle LA, Westby A, Hershey C, et al. Cassava traits and end-user preference: relating traits to consumer liking, sensory perception, and genetics. Crit Rev Food Sci. 2018;58(4):547–67.

    CAS  Article  Google Scholar 

  22. 22.

    Leakey RR, Weber JC, Page T, Cornelius JP, Akinnifesi FK, Roshetko JM, et al. Tree domestication in agroforestry: progress in the second decade (2003–2012). In: Garrity D, editor. Agroforestry-the future of global land use. Dordrecht: Springer; 2012. p. 145–73.

    Chapter  Google Scholar 

  23. 23.

    Ekué MR, Sinsin B, Eyog-Matig O, Finkeldey R. Uses, traditional management, perception of variation and preferences in ackee (Blighia sapida KD Koenig) fruit traits in Benin: implications for domestication and conservation. J Ethnobiol Ethnomed. 2010;6(1):12.

    PubMed  PubMed Central  Article  Google Scholar 

  24. 24.

    Hussein S. New variety design and product profiling. In: Persley GJ, Anthony VM, editors. The business of plant breeding. Switzerland: CABI; 2017. p. 85.

    Google Scholar 

  25. 25.

    Anja C, Weltzien E, Rattunde F, Ashby J. Gender differentiation of farmer preferences for varietal traits in crop improvement: evidence and issues; 2017.

    Google Scholar 

  26. 26.

    Weltzien E, Rattunde F, Christinck A, Isaacs K, Ashby J. Gender and farmer preferences for varietal traits: evidence and issues for crop improvement. Plant Breed Rev. 2019;43:243–78.

    Article  Google Scholar 

  27. 27.

    Teeken B, Olaosebikan O, Haleegoah J, et al. Cassava trait preferences of men and women farmers in Nigeria: implications for breeding. Econ Bot. 2018;72(3):263–77.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  28. 28.

    Abady S, Shimelis H, Janila P. Farmers’ perceived constraints to groundnut production, their variety choice and preferred traits in eastern Ethiopia: implications for drought-tolerance breeding. J Crop Improv. 2019;33(4):505–21.

    Article  Google Scholar 

  29. 29.

    Loko YLE, Montcho D, Zandjanakou-Tachin M, Orobiyi A, Toffa J, Hounmakou E, et al. Farmers’ management of peanut (Arachis hypogaea L.) diversity, their varietal preference traits and uses in Southern and Central Benin. J Crop Sci Biotechnol. 2020:1–14.

  30. 30.

    Houndonougbo J, Kassa B, Salako V, Idohou R, Assogbadjo A, Kakaï RG. Perceived variation of fruit traits, and preferences in African locust bean [Parkia biglobosa (Jacq.) Benth.] in Benin: implications for domestication. Genet Resour Crop Evol. 2020;67:1–15.

    Article  CAS  Google Scholar 

  31. 31.

    Weltzien E, Christinck A. Participatory breeding: developing improved and relevant crop varieties with farmers. In: Snapp S, Pound B, editors. Agricultural systems: agroecology and rural innovation for development. San Diego: Elsevier; 2017. p. 259–301.

  32. 32.

    Casas A, Rangel S, Torres I, et al. In situ management and conservation of plant resources in the Tehuacán- Cuicatlán Valley, Mexico: an ethnobotanical and ecological approach. In: De Albuquerque U, Ramos M, editors. Current topics in ethnobotany. Kerala: Research Signpost; 2008.

    Google Scholar 

  33. 33.

    Adomou AC, Sinsin B, Van der Maesen LJG. Phytosociological and chorological approaches to phytogeography: a meso-scale study in Benin. Syst Geograph Plants. 2006;76(2):155–78.

    Google Scholar 

  34. 34.

    Fandohan B, Assogbadjo AE, Kakaï RG, Sinsin B. Geographical distribution, tree density and fruit production of Tamarindus indica L.(Fabaceae) across three ecological regions in Benin. Fruits. 2011;66(2):65–78.

    Article  Google Scholar 

  35. 35.

    Abbam T, Johnson FA, Dash J, Padmadas SS. Spatiotemporal variations in rainfall and temperature in Ghana over the twentieth century, 1900–2014. Earth Space Sci. 2018;5(4):120–32.

    Article  Google Scholar 

  36. 36.

    Obeng HB. National soil map of Ghana. Kumasi: Catrographic Section of the Soil Research Institute; 1971.

  37. 37.

    Asravor J, Wiredu AN, Siddig K, Onumah EE. Evaluating the environmental-technology gaps of rice farms in distinct agro-ecological zones of Ghana. Sustainability. 2019, 2072;11(7).

  38. 38.

    Tongco MDC. Purposive sampling as a tool for informant selection. Ethnobot Res Applic. 2007;5:147–58.

    Article  Google Scholar 

  39. 39.

    Sogbohossou ED, Achigan-Dako EG, van Andel T, Schranz ME. Drivers of management of spider plant (Gynandropsis gynandra) across different socio-linguistic groups in Benin and Togo. Econ Bot. 2018;72(4):411–35.

    Article  Google Scholar 

  40. 40.

    N’Danikou S, Achigan-Dako EG, Tchokponhoue DA, Agossou CO, Houdegbe CA, Vodouhe RS, et al. Modelling socioeconomic determinants for cultivation and in-situ conservation of Vitex doniana Sweet (Black plum), a wild harvested economic plant in Benin. J Ethnobiol Ethnomed. 2015;11(1):28.

    PubMed  PubMed Central  Article  Google Scholar 

  41. 41.

    Niñez V. Household gardens: theoretical and policy considerations. Agr Syst. 1987;23(3):167-186 DOI:

  42. 42.

    Akoègninou A, Van der Burg W, Van der Maesen LJG. Leiden: Flore analytique du Bénin: Backhuys Publishers; 2006.

  43. 43.

    Arbonnier M. Trees, shrubs and lianas of West African dry zones. Paris: CIRAD; 2004.

    Google Scholar 

  44. 44.

    List TP. Version 1.1. Published on the Internet; 2013. (Accessed from Apr-Dec 2019).

    Google Scholar 

  45. 45.

    R Core Team. R: A Language and Environment for Statistical Computing. Vienna. R Foundation for Statistical Computing; 2019.

    Google Scholar 

  46. 46.

    Yanagida T. Package ‘misty’; 2020.

    Google Scholar 

  47. 47.

    Blancas J, Casas A, Perez-Salicrup D, Caballero J, Vega E. Ecological and socio-cultural factors influencing plant management in Nahuatl communities of the Tehuacan Valley, Mexico. J Ethnobiol Ethnomed. 2013;9:1.

    Article  Google Scholar 

  48. 48.

    Gamer M, Jim Lemon J, Fellows I, Singh P. Package ‘irr’. In: Various Coefficients of Interrater Reliability and Agreement; 2019.

    Google Scholar 

  49. 49.

    Avohou HT, Vodouhe RS, Dansi A, Kpeki B, Bellon M. Ethnobotanical factors influencing the use and management of wild edible plants in agricultural environments in Benin. Ethnobot Res Applic. 2012;10:571–92.

    Google Scholar 

  50. 50.

    Neef A. Land tenure and soil conservation practices-evidence from West Africa and Southeast Asia. In: 10th International Soil Conservation Organization Conference. West Lafayette: Purdue Univeristy and the USDA-ARS-National Soil Erosion Research Laboratory; 2001.

  51. 51.

    Quisumbing AR, Payongayong EM, Aidoo J, Otsuka K. Womenʼs land rights in the transition to individualized ownership: implications for the management of tree resources in Western Ghana; 1999.

    Google Scholar 

  52. 52.

    Dadjo C, Nyende AB, Salako KV, Hounkpèvi A, Assogbadjo AE. Socio–economic factors determining conservation and cultivation of Garcinia kola Heckel—a medicinal plant extinct in the wild in Benin. Econ Bot. 2020;74(2):115–25.

    Article  Google Scholar 

  53. 53.

    Tchokponhoué DA, N'Danikou S, Hale I, Van Deynze A, Achigan-Dako EG. Early fruiting in Synsepalum dulcificum (Schumach. & Thonn.) Daniell juveniles induced by water and inorganic nutrient management. F1000Res. 2017;6:1–17.

    Article  CAS  Google Scholar 

  54. 54.

    Rosenthal DM, Ort DR. Examining cassava’s potential to enhance food security under climate change. Tropical Plant Biol. 2012;5(1):30–8.

    Article  Google Scholar 

  55. 55.

    Bandanaa J, Egyir IS, Asante I. Cocoa farming households in Ghana consider organic practices as climate smart and livelihoods enhancer. Agric Food Sec. 2016;5(1):29.

    Article  Google Scholar 

  56. 56.

    Degrande A, Tadjo P, Takoutsing B, Asaah E, Tsobeng A, Tchoundjeu Z. Getting trees into farmers’ fields: success of rural nurseries in distributing high quality planting material in Cameroon. Small-Scale For. 2013;12(3):403–20.

    Article  Google Scholar 

  57. 57.

    Suvi WT, Shimelis H, Laing M. Farmers’ perceptions, production constraints and variety preferences of rice in Tanzania. J Crop Improv. 2020:1–18.

  58. 58.

    Echodu R, Edema H, Wokorach G, Zawedde C, Otim G, Luambano N, et al. Farmersʼ practices and their knowledge of biotic constraints to sweetpotato production in East Africa. Physiol Mol Plant Pathol. 2019;105:3–16.

    PubMed  PubMed Central  Article  Google Scholar 

  59. 59.

    Morris ML, Tripp R, Dankyi A. Adoption and impacts of improved maize production technology: A case study of the Ghana Grains Development Project. In: Economics Program Paper. Mexico: CIMMYT; 1999.

    Google Scholar 

  60. 60.

    Coronel RE, Sotto RC, Rabara RC. The dwarf and round-fruited miracle fruit [Synsepalum dulcificum (Schum. & Thonne) Daniell]. Philip J Crop Sci. 2009;34(3):108–11.

    Google Scholar 

  61. 61.

    Hersche J. Ethnocentric tendencies, marketing strategy and import purchase behavior. Int Mark Rev. 1994;11(3):4–16.

    Article  Google Scholar 

  62. 62.

    Marimo P, Caron C, Van den Bergh I, Crichton R, Weltzien E, Ortiz R, et al. Gender and trait preferences for banana cultivation and use in sub-saharan Africa: A Literature Review. Econ Bot. 2020;74(2):226–41.

    Article  Google Scholar 

  63. 63.

    Bhargava A, Srivastava S. In: Bhargava A, Srivastava S, editors. Plant breeding, in Participatory plant breeding: Concept and Applications. Singapore: Springer Nature; 2019.

    Chapter  Google Scholar 

  64. 64.

    Gallardo RK, Zhang Q, Dossett M, et al. Breeding trait priorities of the blueberry industry in the United States and Canada. HortScience. 2018;53(7):1021–8.

    Article  Google Scholar 

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Authors are in debt to farmers, local consumers and the processing company who generously participated in this study. Thanks also go to our colleagues Isiaka Abiodun, Frizel Aweha, Leocade Azonhoumon, Jordan Houegban, Borduas Gambadatoun, Malachie Houinato, Mathieu Ayenan and Xavier Matro for their invaluable help during the fieldwork. We also appreciate comments by anonymous reviewers.


Partial funding was awarded to the first author by the MoBreed (“Enhancing training and research mobility for novel crops breeding in Africa”; Grant number: 2016-2988) project funded by the Education, Audiovisual and Culture Executive Agency (EACEA) of the European Commission under the “Intra-Africa Academic Mobility Scheme”. The funding body has absolutely no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Author information




DAT, EAD and JS conceived the study. DAT conducted the fieldwork, analysed the data and drafted the manuscript. DAT, EAD, SN, DN, RK, AOO and JS reviewed the manuscript. EAD and JS supervised the study. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Dèdéou A. Tchokponhoué.

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Ethics approval and consent to participate

A verbal agreement was obtained from traditional authorities of local communities and the informants prior to administering the questionnaire. A clear presentation of the study objectives made this easier.

Consent for publication

Prior and informed consent of local people’s had been obtained for pictures publication.

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The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1: Supplementary Table S1.

Socio-demographic profile of individual respondents. Supplementary Table S2. Complete list of plant species recorded in production systems involving Synsepalum dulcificum in the study area. Supplementary Table S3. Per gender-disaggregated importance of species involved in Synsepalum dulcificum-based production system.

Additional file 2.

Sociolinguistic group-based disaggregation of top five important species in Synsepalum dulcificum-based production system.

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Tchokponhoué, D.A., Achigan-Dako, E.G., N’Danikou, S. et al. Comparative analysis of management practices and end-users’ desired breeding traits in the miracle plant [Synsepalum dulcificum (Schumach & Thonn.) Daniell] across ecological zones and sociolinguistic groups in West Africa. J Ethnobiology Ethnomedicine 17, 41 (2021).

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  • Ecological zones
  • Ethnicity
  • Orphan crops
  • Richardella dulcifica
  • Trait preference