3.1. Diversity in the Cardamom Germplasm by Morphological Traits
The deployment of morphological traits is essential for evaluating the genetic diversity within crop species. Such traits are instrumental in the identification and categorization of accessions, thereby laying the groundwork for the formulation of germplasm conservation strategies [
23]. Additionally, analyses of genetic diversity are critical for evaluating the sustainability and diversification of agricultural systems [
24,
25,
26]. In the specific context of cardamom cultivation in Guatemala, the use of these traits is vital for recognition existing diversity and elucidating the varieties under cultivation. This initial step is crucial for the subsequent selection of enhanced characteristics, which are targeted to improve crop productivity.
In this study, 17 morphological traits were assessed across 288 cardamom accessions from the Northern Transversal Strip of Guatemala, the region noted for its high productivity. The study yielded an average genetic diversity index of 0.86, with the minimum and maximum values being 0.10 and 2.02, respectively. The type of panicle was identified as the trait with the least genetic diversity, a result of the predominant occurrence of semi-erect panicles among the accessions. Hence, this particular trait may not be a significant differentiator among cardamom varieties. In contrast, the trait with the highest Shannon–Wiener index was the number of capsules per cluster, which was one of the two morphological variables gathered as quantitative data. This trait holds considerable significance in terms of productivity, especially since the capsule represents the marketable portion of the cardamom plant. Among the qualitative traits, number of stems per plant recorded the highest genetic diversity index (H’), with a value of 1.33. This finding suggests that it could serve as a metric for assessing plant productivity, indicating that certain accessions might be preferentially selected for traits that are indicative of higher productivity [
27,
28].
In the realm of cardamom research, there is a paucity of studies aimed at elucidating the genetic diversity of this spice. The investigation conducted by Anjali et al. in the Republic of India, which focused on the genetic diversity of cardamom, reported Shannon–Wiener’s Information Index values ranging from 0.23 to 0.54. [
29]. However, it is noteworthy that this study was based on the analysis of ISSR molecular markers. In contrast, the research undertaken on Guatemalan cardamom demonstrated a higher level of diversity. Nonetheless, within the Zingiberaceae family, other genera such as
Amomum have demonstrated diversity as measured by the Shannon–Wiener diversity index (H’), with values ranging from 1.71 to 2.22 [
30]. Notably, the highest value reported is comparable to that observed in this study.
3.2. Comprehensive Evaluation of Cardamom Morphological Traits for the Identification of Excellent Germplasms
The comprehensive evaluation analysis has previously been employed by various authors to assess and select outstanding germplasm [
15,
16,
17,
18,
19]. This method represents an integrated approach that combines principal component analysis (PCA) to identify the most influential variables on germplasm, standardizes data based on principal components, and utilizes a morphological composite value to score cardamom accessions and select the most promising ones [
16,
17]. In this study, the first three principal components accounted for 24.44% of the variation. It was observed that significant variables persisted up to the fourteenth principal component, with the next significant variable appearing in the twentieth PC. PC14 encompassed 74.35% of the germplasm explanation; however, some significant variables were repetitive from PC1, PC2, and PC3. The comprehensive evaluation analysis was conducted with both the first three PCs and the full set of fourteen PCs. The F-value derived from the morphological composite value analysis of the first three PCs enabled the selection of twelve accessions, which included the top seven positions from the analysis with fourteen PCs and other accessions up to rank number twenty-two. Consequently, the decision was made to utilize only the first three PC to elucidate the germplasm and select the superior accessions.
Various authors have reported the use of different numbers of principal components, achieving data explanation percentages ranging from 57.91% to 85.17%. Al-Naggar et al., utilizing morphological characteristics in maize, employed the first two principal components, which accounted for 57.91% of the variance [
31]. Conversely, Devesh et al. used seven principal components, capturing approximately 66.22% of the variability, to evaluate yield, yield components, and quality traits of advanced wheat lines [
32]. The study by Maji and Shaibu employed the first two principal components to describe the variation in rice germplasm, explaining 78% of the variance [
33]. Similarly, Ramesh Kumar et al. selected the first six principal components, explaining 80.61% of the variation for the eggplant germplasm [
34]. Li et al. reported the use of seven principal components to account for 85.17% of the total variance for a comprehensive evaluation analysis with persimmon [
35]. In this study, it was possible to explain the data variation and select superior accessions using the first three principal components, with a maximum explained variance of 24.44%.
The first principal component analysis reveals that plant height is a significant trait to consider for elucidating the germplasm of cardamom. Other pertinent factors include the number of stems per plant (when exceeding 45), the number of panicles per plant (when exceeding 31), and the number of clusters per panicle (when fewer than 20 or up to 30). This primary component underscores the importance of variables linked to productivity within the germplasm, thus it is critically important to consider when selecting for enhanced productivity. The second principal component pertains to the phenology of leaves and capsules, specifically the glabrous-type pubescence of leaves and the shape of the capsules. The third principal component is also related to phenology, highlighting variables such as the rhizome color when it is light purple and the capsule color when it is green or light green. As visual parameters, the traits of the second and third principal components can be readily employed in the future to continue assessing the diversity of cardamom germplasm over the years.
Hu et al., utilizing a comprehensive evaluation analysis for the selection of maize accessions, assessed phenotypic traits and identified the traits most relevant for describing the variability of maize germplasm. Based on the selection of three principal components, these traits include ear height, ear height to plant height ratio, spike leaf width, leaf width of the upper ear, and effective spikes per plant [
16]. The authors used these traits to establish key individual indicators for maize, and in this study we could establish two indicators related to productivity and leaf, capsules and rhizomes phenology. Maji and Shaibu employed morphological and agronomic traits to characterize and evaluate rice germplasm through principal component analysis; they identified plant height as one of the most significant variables, mirroring the findings of this study where plant height emerged as the most influential variable in the first principal component [
33]. Additionally, they highlighted the relevance of variables such as leaf length, ligule length, days to 50% flowering, grain weight, number of grains per panicle, number of suckers at three weeks post-planting, leaf width, and number of unfilled grains for rice germplasm evaluation [
33]. Pereira-Lorenzo et al., in their study on chestnut cultivars using morphological traits, identified nut size, shape, and sweetness as the most critical characteristics for this crop, as determined by principal component analysis. Each crop possesses unique traits that are essential for describing its germplasm [
36]. Therefore, it is imperative to establish the most representative characteristics of Guatemalan cardamom germplasm.
It is crucial to emphasize that this study represents an initial effort to elucidate the key morphological characteristics that best describe cardamom germplasm. Although conducted with a single replicate, the study provides valuable preliminary insights. Future research should aim to evaluate the same 17 variables under different geo-environmental conditions to verify their stability over time and space. This is particularly important for identifying the optimal conditions for maximizing cardamom productivity. Additionally, future studies on morphological variables should be complemented by genetic evaluations using molecular markers, as demonstrated by Anjali et al. [
29,
37]. Furthermore, it has been proposed to confirm the same hierarchical groupings with microsatellite markers (Herrera et al., personal communication).
The F-value derived from the morphological composite value analysis using the first three principal components facilitated the selection of 14 accessions. In this study, the F-values obtained ranged from 0.193 to 0.819, signifying the accessions with the best and the worst composite traits, respectively (
Table S3). Comparatively, other studies have reported F-values ranging from a minimum of 0.089 to a maximum of 0.90 in maize, and a minimum of −1.50 and a maximum of 1.30 in apple trees [
16,
17]. The equation obtained from the linear regression analysis will enable the selection of these excellent accessions and relevant traits [
16,
17,
38]. The linear equation favors the selection of 12 morphological traits classes including plants with less than 2 m in height, with a green rhizome, 20 or fewer panicles per plant, panicle lengths of 51 to 75 cm, fewer than 20 clusters per panicle, an internodal length between 1.6 to 2.5 cm, at least 13 capsules per cluster, and green capsules. In this equation, the trait of capsules per cluster will influence the selection of accessions with greater productivity, distinguishing those with more than 13 capsules per cluster. In studies that have conducted comprehensive evaluations, the linear equation comprises 10 variables with an R
2 of 0.996 in the maize germplasm study, and 15 variables with an R
2 of 0.978 in the apple germplasm study [
16,
17].
The 14 excellent accessions selected from the cardamom germplasm are primarily classified within groups IV and VI, with one accession belonging to group II, as determined by the hierarchical clustering analysis using the three main principal components. These groups are characterized by accessions ranging from 2 to 3 m in height, having 20 to 30 clusters per panicle, and featuring green, ovoid capsules. The number of selected accessions and the corresponding selection percentages vary across different crops and authors. Hu et al. selected 106 out of 192 maize accessions based on an F-value criterion greater than 0.5, resulting in a selection percentage of 55% [
16]. Conversely, Tian et al. selected 10 out of 256 apple germplasm accessions, representing 4%, with these selections having an F-value greater than 0.79 [
17]. Similarly, Pei-jun et al. selected 10 out of 166 tomato germplasm accessions, achieving a selection percentage of 6% [
39]. Zheng et al. applied a selection criterion to 30% of the
Alnus cremastogyne accessions, equating to 12 out of 40 studied accessions [
40]. In this study, the 14 selected excellent accessions constitute approximately 5% of the cardamom germplasm.
3.3. Conservation of the Cardamom Germplasm
For Guatemala, an agricultural country distinguished by its high biodiversity, it is crucial to establish conservation strategies for plant materials [
41]. It has been previously noted that there are 14 accessions deemed excellent for selection and use in genetic improvement and productivity enhancement strategies within the cardamom germplasm. This study also suggests an additional 12 accessions to preserve the crop’s diversity. Based on the literature review and given that Guatemalan cardamom originates from the Republic of India, it was proposed to include putative varieties known as ‘Malabar’, ‘Mysore’, and ‘Vazhukka’ from the Republic of India [
2,
22]. According to the semi-erect panicle type, most of the Guatemalan cardamom belongs to the ‘Vazhukka’ variety, which exhibits intermediate characteristics between ‘Malabar’ and ‘Mysore’ [
2,
3]. However, one of the main criteria for classifying this proposal of foreign varieties is the size of the plant. The ‘Malabar’ variety produce plants less than 3 m height, while the ‘Mysore’ and ‘Vazhukka’ varieties are more robust plants that reach 3 m in height [
2,
3].
Considering the plant height, 13 of the 14 excellent accessions of Guatemalan cardamom germplasm would be categorized as ‘Malabar’. Consequently, a second comprehensive evaluation analysis was conducted with accessions classified as ‘Mysore’/‘Vazhukka’. A second equation was derived from linear regression analysis, which will facilitate the selection of accessions from this proposed variety that have panicle lengths between 51 to 75 cm, more than 45 stems per plant, fewer than 30 clusters per panicle, globular capsules, rhizomes of light purple or light green color, an internodal length less than 2.5 cm, more than 31 panicles per plant, 8 or fewer capsules per cluster, and green capsules. Certain characteristics may be linked to the plant’s productive parameters, facilitating the selection of superior accessions of ‘Mysore’/‘Vazhukka’. This is underscored by Maji and Shaibu’s study, which also highlights the significance of analogous variables in maize in their principal component analysis [
33]. Similarly, Tian et al. have demonstrated the critical role of parameters related to color phenology in the linear regression equation for identifying outstanding accessions [
17].
The first accession selected through this second comprehensive evaluation analysis coincided with position number 14 from the initial selection. An additional 12 accessions were added to be considered in a list of cardamom accessions that allow for the conservation of germplasm. As evidence of this, the 26 accessions represent the six groups classified by the hierarchical clustering analysis. Moreover, the diversity index (H’) increased from 0.74 with the first 14 selected accessions to 0.84 with the 26 accessions selected for this conservation proposal.
Additionally, the color of the capsule is also a criterion for the classification of the proposed varieties of ‘Malabar’, ‘Mysore’, and ‘Vazhukka’ [
22]. Therefore, plant height and capsule color serve as key indicators for putative foreign cultivars such as ‘Malabar’ and ‘Mysore’/‘Vazhukka,’ providing clear visual cues for classification. However, the criterion of height was considered more relevant as it is the variable with the most influence on the first principal component of this study. The capsule color variable was significant in the third principal component. It is crucial to emphasize that parameters related to the capsule, including shape, aroma, color, and physicochemical properties, have been identified as key determinants in the cardamom market [
2,
42]. Consequently, the capsule color highlighted in this study should be considered a significant variable in the criteria for selecting superior accessions and in conservation strategies, even though it is not the primary criterion for classifying varieties.