3.1. Fruit Measurements
The fruit and endocarps’ characteristics were evaluated for 24 capuli genotypes, collected in Ecuador in the 2016 and 2019 seasons. There were statistically significant differences (p ≤ 0.05) when comparing data across the seasons for fruit diameter, fruit height, ten fruit weight, the SSC, endocarp diameter, and endocarp height. The differences among the genotypes were identified for all the variables evaluated (p ≤ 0.05). No statistically significant differences were identified among the replicates for all variables (p > 0.05), except for endocarp height. Due to the variation present across the years, hereafter, all the analyses were performed in within-year comparisons.
The fruits’ diameters varied from 12.8 to 19.1 mm in 2016 and from 12.4 to 21.7 mm in 2019. The largest fruit diameter was observed for PserTU77 (19.1 mm) in 2016, and for PserTU53 (21.7 mm) in 2019. The smallest fruit diameter was reported for PserCH94 (12.8 mm) in 2016, and PserCO13 (12.4 mm) in 2019 (
Table 2). For fruit height, the values varied from 11.4 to 17.7 mm (2016) and from 12.2 to 19.7 mm (2019). Fruit from PserTU43 had the highest height value for 2016 (17.7 mm), and PserTU41 and PserTU53 had the highest fruit height for 2019 (19.7 mm) (
Table 2).
Limited studies have been published regarding capuli fruit’s morphology. McVaugh [
7] characterized the fruit size of capuli. He reported a diameter approximately 20–25 mm. Vasco et al. [
21] reported that the fruit of Ecuadorian capuli was 10–30 mm in diameter. Similarly, Avendaño-Gómez et al. [
22] reported the average length of the capuli fruit found in Tlaxcala, Mexico, was 1.7 ± 0.2 cm, with a diameter of 1.5 ± 0.2 cm. The results from the research presented (
Table 2) were consistent for
P. serotina subsp.
capuli. In the case of its sister species, Bonner [
19] reported the average diameter of North American black cherry fruit to be 7–10 mm. Capuli fruit was generally larger than the fruit data reported for
P. serotina subsp.
serotina [
19,
22]. A variation in fruit size and morphology has also been observed in other
Prunus species. Miloševic and Miloševic [
23] reported the dimensions for sour cherry cultivars “Oblačinska” and “Cigančica” as follows: fruit length (between 14.85 ± 0.12 mm and 14.27 ± 0.19 mm, respectively) and fruit width (between 15.50 ± 0.09 mm and 15.23 ± 0.15 mm, respectively).
As previously described, fruit size is an important characteristic, which is used to evaluate a produce value for marketing and commercialization [
16]. For example, this is an important standard used for the commercialization of sweet cherries. Different countries have different size standards. Spain has standards in which cherries with a 25 mm diameter are considered in the “extra category”, whereas, in Summerland (Canada) the ideal cherry diameter is 29–30 mm [
24]. In the US, cherries with a diameter of 30 mm were preferred by consumers [
25]. In addition, Kappel et al. [
26] described an ideal sweet cherry for the North American market as 11–12 g in weight and 29–30 mm in diameter.
The ten fruit weight for
P. serotina subsp.
capuli varied from 11.7 to 43.7 g (2016) and from 12.0 to 50.3 g (2019). The highest value for the ten fruit weight in 2016 was found for PserTU48 (43.7g) and for PserTU53 (50.3g) in 2019. The smallest ten fruit weight was found consistently for PserCO13—15.4 g in 2016 and 12 g in 2019 (
Table 2). The individual fruit weight was recorded for the largest and smallest fruit in each fruit lot (data not shown). The highest individual fruit weight was observed for PserTU48 and PserTU53: 5.82 g and 3.92 g (2016), and 4 g and 5 g (2019), respectively. These individual weights are consistent with the ten fruit weight average. Vasco et al. [
21] studied the weight of capuli fruits from Ecuador and reported an individual fruit weight of between 2–8 g. Khadivi et al. [
18] reported the average fruit weight of 45 sweet cherry cultivars (4.4 to 8.9 g), 62 sour cherry cultivars (1.4 to 2.7 g), and 39 duke cherry (4.4 to 6.0 g) cultivars from Iran. Similarly, the fruit weight of the sour cherry cultivars, “Oblačinska” and “Cigančica”, were reported as between 3.48 ± 0.11 g and 2.66 ± 0.09 g, respectively [
23]. The capuli fruit weight reported in this study was below the average size of the commercial sweet cherry cultivars described above, but it was higher and comparable to the fruit data for the sour cherry and duke cherry cultivars, respectively.
Table 2.
Fruit characteristics of Prunus serotina subsp. capuli genotypes, collected in the Andes region of Ecuador in 2016 and 2019 seasons.
Table 2.
Fruit characteristics of Prunus serotina subsp. capuli genotypes, collected in the Andes region of Ecuador in 2016 and 2019 seasons.
Genotype ID | Fruit Diameter (mm) | Fruit Height (mm) | Ten Fruit Weight (g) | SSC (°Brix) |
---|
2016 | 2019 | 2016 | 2019 | 2016 | 2019 | 2016 | 2019 |
---|
PserCH101 z | 13.0 | ij y | 14.4 | d–f | 12.3 | kj | 12.2 | h | 12.8 | kl | 17.7 | gh | 20.0 | b–f | 27.1 | a |
PserCH108 | 16.0 | c–h | 15.5 | de | 14.6 | c–i | 14.4 | d–g | 28.5 | d–f | 21.3 | e–g | 25.3 | ab | 21.5 | b–f |
PserCH110 | 15.1 | e–j | 14.5 | d–f | 13.7 | g–j | 12.5 | gh | 23.0 | g–i | 21.0 | e–g | 19.2 | d–g | 25.5 | ab |
PserCH113 | 15.7 | c–i | 17.0 | cd | 14.5 | d–i | 13.5 | d–g | 24.1 | f–i | 29.0 | cd | 14.1 | g | 24.9 | a–c |
PserCH132 | 16.1 | b–g | 14.4 | d–f | 14.1 | e–j | 12.7 | f–h | 21.8 | h–j | 21.3 | e–g | 16.2 | e–g | 21.6 | a–f |
PserCH142 | 15.4 | d–j | 14.6 | d–f | 13.3 | h–k | 13.4 | d–h | 19.9 | h–j | 22.0 | e–g | 27.6 | a | 23.4 | a–d |
PserCH94 | 12.8 | j | 16.4 | c–e | 11.4 | k | 14.7 | c–f | 11.7 | l | 22.3 | d–g | 18.5 | d–g | 21.8 | a–e |
PserCO01 | 15.8 | c–h | 16.0 | c–e | 14.6 | c–i | 13.6 | d–h | 25.4 | e–i | 24.0 | d–g | 19.4 | d–g | 16.2 | f–h |
PserCO13 | 14.0 | f–j | 12.4 | f | 13.8 | f–j | 12.4 | gh | 15.4 | j–l | 12.0 | h | 20.6 | b–f | 21.5 | b–f |
PserCO14 | 15.9 | c–g | 16.2 | c–e | 15.5 | b–f | 13.7 | d–h | 24.3 | e–i | 19.0 | fg | 25.1 | a–c | 17.2 | e–h |
PserCO16 | 13.3 | h–j | 19.8 | ab | 12.5 | i–k | 16.7 | bc | 19.2 | i–k | 49.3 | a | 23.5 | a–d | 14.3 | gh |
PserCO21 | 18.3 | a–c | 15.1 | d–f | 15.9 | a–f | 13.4 | d–h | 24.7 | e–i | 27.0 | de | 17.2 | e–g | 20.6 | b–f |
PserCO22 | 16.6 | a–g | 16.1 | c–e | 15.1 | c–g | 13.0 | e–h | 29.8 | c–f | 27.0 | de | 18.0 | d–g | 21.4 | b–f |
PserCO26 | 14.9 | e–j | 15.0 | d–f | 14.7 | c–f | 14.1 | d–h | 26.1 | e–h | 29.0 | cd | 18.4 | d–g | 18.2 | d–h |
PserCO31 | 16.8 | a–f | 18.7 | bc | 16.6 | a–d | 15.2 | b–d | 34.6 | cd | 37.3 | b | 17.7 | e–g | 19.5 | c–g |
PserTU41 | 17.7 | a–e | 13.7 | ef | 16.7 | a–c | 19.7 | a | 30.3 | c–f | 21.0 | e–g | 19.4 | d–g | 20.8 | b–f |
PserTU43 | 17.9 | a–d | 15.2 | de | 17.7 | a | 13.3 | d–h | 36.4 | bc | 20.3 | e–g | 17.3 | e–g | 20.0 | b–f |
PserTU48 | 18.8 | ab | 16.4 | cd | 17.3 | ab | 17.0 | b | 43.7 | a | 33.8 | bc | 18.5 | d–g | 17.9 | e–h |
PserTU53 | 16.3 | b–g | 21.7 | a | 16.2 | a–e | 19.7 | a | 30.9 | c–e | 50.3 | a | 15.2 | fg | 19.1 | d–g |
PserTU57 | 14.5 | f–j | 16.3 | c–e | 13.5 | g–k | 14.9 | b–e | 20.4 | h–j | 26.3 | de | 21.0 | b–e | 21.6 | a–f |
PserTU67 | 17.9 | a–d | 16.1 | c–e | 15.5 | b–g | 14.0 | d–h | 33.5 | cd | 25.3 | d–f | 23.4 | a–d | 18.2 | d–h |
PserTU70 | 15.7 | d–i | 16.4 | cd | 14.6 | d–i | 14.0 | d–h | 23.0 | g–i | 24.3 | d–g | 18.5 | d–g | 14.2 | gh |
PserTU71 | 14.0 | g–j | 15.9 | de | 14.0 | f–j | 13.5 | d–h | 19.8 | h–j | 20.7 | e–g | 20.1 | b–f | 19.2 | d–g |
PserTU77 | 19.1 | a | 14.8 | d–f | 17.5 | ab | 13.0 | f–h | 41.4 | ab | 18.7 | f–h | 19.6 | d–g | 13.4 | h |
The Chimborazo genotypes had the highest average SSC values, with genotypes PserCH142 (27.6 °Brix) in 2016, and PserCH101 (27.1 °Brix) in 2019 (
Table 2). The lowest SSC values were 14.1 °Brix (2016) and 13.4 °Brix (2019) for PserCH113 and PserTU77, respectively (
Table 2). Vasco et al. [
21] studied the average SSC of capuli fruits from Ecuador and reported values between 16.3–22.2 °Brix. Our results are consistent with the research of Vasco et al. [
21]. Kappel et al. [
26] reported a minimum SSC value of 15 °Brix for sweet cherry cultivars. Khadivi et al. [
18] reported the range of TSS (total soluble solids) values of sweet cherries as from 15.6% to 20.88%, sour cherries from 15 to 28%, and duke cherries from 17.13% to 22.53% in Iran. Crisosto et al. [
27] studied the importance of TSS, TSS: TA (titratable acidity), and skin color with regard to consumer acceptance for “Bing” and “Brooks” cherry cultivars. The authors pointed out that TSS plays an important role in consumer acceptance. Consumer acceptability is increased with high TSS levels and a minimum 16% was proposed for cherries in the American market. Our study reported average SSC values higher than those reported for sweet cherry, sour cherry, and duke cherry cultivars.
3.2. Endocarp Measurements
In the case of the endocarps’ morphological characteristics, the largest endocarp diameter was found in the genotypes PserTU41 and PserTU77 (10.4 mm) in 2016, and PserTU53 (12.2 mm) in 2019 (
Table 3) (
Figure 2 and
Figure 3). The highest endocarp height was reported for PserTU43 (13.6 mm) in 2016, and for PserTU53 (12.2 mm) in 2019 (
Table 3). Avendaño-Gómez et al. [
22] studied the endocarps of capuli fruits from Tlaxcala, Mexico, under a cultivated management system. The authors observed an endocarp thickness of 0.14 ± 0.04 mm, a seed length of 0.94 ± 0.08 cm, and a seed diameter of 0.78 ± 0.13 cm.
In other
Prunus species, Khadivi et al. [
18] studied Iranian sweet, sour, and duke cherries. The stone lengths ranged from 10.57 to 12.40 mm (sweet cherries), 7.73 to 10.18 mm (sour cherries), and 9.26 to 11.78 mm (duke cherries); whereas the stone widths ranged from 8.50 to 10.35 mm (sweet cherries), 8.94 to 10.51 mm (duke cherries), and 7.17 to 10.30 mm (sour cherries). The endocarp data collected in our research are comparable to the endocarp data collected for capuli from Mexico and other cherries.
The overall means for all the variables within a year were calculated separately, according to their province of origin (
Table 4). Significant differences were present across the different provinces, while comparing the overall means for the variable fruit height and endocarp diameter for both years. The SSC values were the highest for Chimborazo province genotypes for the year 2019 but no significant differences among the provinces were observed for the year 2016. The ten fruit weight was significantly higher for the Tungurahua genotypes for the year 2016. No significant differences were present among the provinces for the ten fruit weight for the year 2019. The fruit diameter and endocarp height were significantly higher for Tungurahua, in comparison to the other provinces in 2016, but no significant differences were present across provinces for the year 2019.
In the current study, fruit collected from the wild in Ecuador comprised a large variation in fruit diameter, fruit height, fruit weight, SSC, endocarp diameter, and endocarp height (
Table 2,
Table 3 and
Table 4). This phenotypic variation present in the wild Ecuadorian capuli fruit can be used as a foundation for the future capuli breeding programs.
Prunus serotina, in North America, is mostly used for furniture purposes, but its fruit lacks flavor and size, which are important commercial fruit attributes. The best forms of capuli fruits are found in Ecuador [
8]. Although capuli fruit is important to the Ecuadorian people, no commercial varieties of capuli fruits are available in the Ecuadorian market. In Mexico, the seeds of the capuli fruit are also used as snacks, in addition to eating fresh or dried fruit, or making other products [
28]. Capuli fruit holds the potential for being a multipurpose commercial product, where both the fruit and seeds can be utilized for different purposes.
3.3. Multivariate Analyses for 2016 and 2019
The edible portions in cherries are the epicarp and mesocarp, i.e., the skin and flesh of the fruit. Beneath these, there is the stony endocarp, which is inedible [
29]. In the case of sweet cherries, consumers prefer cherries with a small endocarp and a large quantity of fruit pulp [
24]. This study focused on characterizing the fruit and endocarp variables and their relationships.
The results of the multivariate analyses are shown in
Table 5 and
Table 6, for the years 2016 and 2019, respectively. A strong positive correlation was found between the fruit weight and diameter within both years (
rfruitwt vs fruitdia 2016,2019 = 0.89,
p ≤ 0.0001). Likewise, the fruit diameter and endocarp diameter were positively correlated for both years (
rfruitdia vs endocarpdia 2016 = 0.78,
rfruitdia vs endocarpdia 2019 = 0.79;
p ≤ 0.0001). The endocarp height and fruit height were positively correlated (
rfruitht vs endocarpht 2016 = 0.78,
rfruitht vs endocarpht 2019 = 0.61;
p ≤ 0.05). All fruit and endocarp size characteristics were positively correlated with each other within a season. SSC was not correlated with any of the size variables for the fruits or endocarps in both years (
Table 5 and
Table 6). Large-fruited capuli genotypes were consistently characterized by a large endocarp. This will make the selection for a large-fruited and small endocarp genotype difficult. On the other hand, the selection for a high SSC can be made independently of other variables.
Other studies have reported the presence of a positive correlation between the fruit and endocarp size variables. Rakonjac et al. [
30] reported that all the fruit size variables in “Oblačinska” sour cherry accessions were positively related to each other. Demirsoy and Demirsoy [
31] also found a positive polynomial relationship between fruit weight and fruit diameter in sweet cherries. Khadivi-Khub [
32] found a positive correlation between fruit weight vs. stone weight, fruit weight vs. fruit length, and fruit width vs. fruit diameter when evaluating 70 cherry genotypes. In addition, significant negative correlations between the TSS vs. fruit were reported in cherry genotypes by Khadivi et al. [
18].
3.4. Principal Component Analysis (PCA)
A principal component analysis aims to reduce the number of parameters to differentiate the relationships between variables and genotypes. This technique helps in dividing the original variables in the dataset into smaller groups. The groups in a PCA are not related to each other, except the variables within each group [
33]. The results from the PCA conducted in this study identified that PC1 and PC2 components accounted for 83.7% of the total variation in the studied variables for
P. serotina subsp.
capuli (
Table 7).
In PC1, the variables with the highest factor loadings were the ten fruit weight, the fruit diameter, the fruit height, and the endocarp diameter and height. In the SSC, °Brix had the highest factor loadings. These results are confirmed in
Figure 4, where the SSC variable is observed on a different quadrant from all the other variables.
The genotypes with the highest PC1 scores were those with overall high values for fruit and endocarp variables, such as PserTU48 and PserTU53. Whereas, the genotypes with high PC2 scores are the ones with high SSC values, such as the genotypes PserCH142, PserCH110, and PserCH108. No clear-cut groups were observed according to their province of origin in the PCA, based on the morphological characteristics studied (
Figure 4).
The results suggest that there is morphological variation in the genotypes from Chimborazo, Cotopaxi, and Tungurahua. However, these differences did not result in separate groupings, as related to their province of origin. Guadalupe et al. [
34], while studying the genetic diversity and population structure of capuli from eight Ecuadorian provinces, reported the lack of clear population differentiation among the capuli from the different provinces. They proposed the reason for the diversification of Ecuadorian capuli could be outcrossing and self-incompatibility.