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Article

Genetic Diversity Evaluation of 70 Chewing Cane Germplasm Resources Based on Phenotypic Traits

Guangdong Sugarcane Genetic Improvement Engineering Center, Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China
*
Authors to whom correspondence should be addressed.
Plants 2025, 14(19), 3111; https://doi.org/10.3390/plants14193111
Submission received: 19 August 2025 / Revised: 7 October 2025 / Accepted: 8 October 2025 / Published: 9 October 2025
(This article belongs to the Special Issue Crop Germplasm Resources, Genomics, and Molecular Breeding)

Abstract

Chewing cane is primarily consumed as fresh fruit and contains a variety of essential amino acids and iron. The identification and evaluation of chewing cane germplasm resources are prerequisites for the rational utilization of these resources, and phenotypic traits provide a direct and convenient means to determine breeding objectives. To facilitate the utilization and development of chewing cane germplasm, thirty-six phenotypic traits in 70 chewing cane germplasm resources were analyzed. The results revealed rich genetic diversity among the chewing cane resources. Seven phenotypic traits exhibited relatively high diversity and considerable potential for genetic improvement. The three groups exhibited relatively small genetic distances and relatively high genetic similarity coefficients, among which the Local varieties (Lv) group displayed the highest genetic diversity indices and retained more private alleles. Based on genetic similarity, the resources were classified into 3 groups, 5 subgroups, and 5 subclasses through cluster analysis, with more than half (54%) of the chewing cane materials forming a separate cluster. A total of 26 private alleles associated with 13 different phenotypic traits in chewing cane were identified across the three groups. The results of genetic diversity analysis based on phenotypic data provide important references for the utilization of chewing cane germplasm resources, selection of parents, and variety breeding.

1. Introduction

Chewing cane (Saccharum spp.), also known as the chewing type of sugarcane, is cultivated exclusively for fresh consumption. It is characterized by thin and crispy nodes that are easy to peel; low fiber content; moderate sugar content; abundant and clear sweet juice; and a crisp, refreshing texture. It is rich in protein and essential trace elements such as iron, calcium, phosphorus, manganese, and zinc [1]. Chewing cane has the effects of quenching thirst and providing cooling and detoxification benefits. Moreover, it enjoys a long market period, a large sales volume, and a relatively low price, making it one of the most popular fresh foods among consumers [2,3,4,5]. In China, chewing cane is mainly cultivated in Guangdong, Guangxi, Yunnan, Fujian, and Hainan provinces and is an important characteristic economic crop in southern China. Its cultivation history in China spans at least 2000 years [6,7]. In recent years, the demand for chewing cane has been continuously increasing, accompanied by an expansion of planting areas. It is now cultivated in 15 provinces and regions, with an annual planting area of approximately 250,000 hectares and a production volume of about 350 million tons [8,9,10].
The study of germplasm resources forms the foundation of crop breeding. Research on biological genetic diversity, widely applied in genetics, breeding, and taxonomy, is valued for its simplicity, ease of operation, and efficiency [11,12]. Germplasm can be evaluated using genetic diversity indices and coefficients of variation based on morphological and agronomic traits, thereby revealing the diversity characteristics of different germplasm resources and providing a basis for their utilization and development [13]. With advancements in breeding techniques, chewing cane germplasm resources have been continuously introduced and selected. The scientific and efficient screening of superior sugarcane materials has become an important task in breeding programs [14,15,16,17]. Agronomic and yield traits objectively reflect the comprehensive characteristics of crop varieties, and their phenotypes can be directly assessed using appropriate tools. Consequently, these traits are frequently employed by breeders as key indicators for evaluating and identifying germplasm resources [18,19,20]. Integrating multiple desirable agronomic traits into a single genotype is an essential goal in sugarcane breeding. Selecting parents with superior agronomic traits and designing suitable hybrid combinations constitute important strategies for improving sugarcane varieties [21,22,23]. Genetic diversity serves as a critical measure of a species’ capacity to adapt to environmental changes and provides a theoretical foundation for the effective utilization of crop germplasm resources [24,25,26].
At present, a relatively small number of researchers have used molecular markers to evaluate the genetic diversity of chewing cane germplasm resources [27,28,29]. However, studies on the genetic diversity of chewing cane based on phenotypic data are still rare. Prolonged lack of systematic investigation has led to the disorder and degeneration of local chewing cane varieties, with little varietal renewal. Furthermore, inadequate attention to cultivation management has resulted in severe disease incidence, deterioration in quality, reduced storage ability, and yield decline [8,30]. There is an urgent need to develop new chewing cane varieties that are high-quality, high-yielding, and disease-resistant. China possesses numerous excellent local chewing cane varieties, such as Luohanzhe, Datian Xuezhe, and Guangzhou Qingpi, which have been cultivated for over 50 years and still retain superior traits and high productivity. Therefore, it is essential to investigate, characterize, and systematically evaluate these local varieties while exploring chewing cane germplasm resources across different regions of China. In the present study, field-collected phenotypic data were used to assess the genetic diversity and kinship of chewing cane germplasm resources from various origins, with the aim of identifying superior germplasm for introduction and breeding in diverse planting areas.

2. Results

2.1. Analysis of Genetic Diversity of Qualitative Traits

The diversity index of qualitative traits reflects the distribution of traits at different levels. A genetic diversity analysis was conducted on 27 qualitative traits of 70 chewing cane germplasm resources (Table 1). A total of 82 types of variations were detected, with each trait exhibiting between 2 and 6 types of variations. On average, each trait had 2.83 types of variations. Considerable variation was observed, with CV ranging from 21.93% to 54.21%. Among the 27 traits, BFo exhibited the greatest genetic variation, while LC showed the least genetic variation.
ICE showed the highest genetic diversity index, with the highest proportion (31%) in grade 3. On the other hand, 57HG showed the lowest genetic diversity index, with the highest proportion (94%) in grade 1. The Shannon’s information index (I) values of ICU, BS, LSC, IWP, BFo, IF, and ICE were all greater than 1, and their variation ranges were also relatively large. The genetic diversity index of stalk-related traits was the highest, with average values of 1.173 (I) and 0.610 (h), respectively. Next were leaf-related traits, with average values of 0.776 (I) and 0.462 (h), respectively. Finally, the genetic diversity index of bud-related traits was the lowest, with average values of 0.655 (I) and 0.392 (h), respectively. These findings indicate that the diversity levels of these qualitative traits were comparatively high, making them important reference indicators for evaluating the genetic diversity of chewing cane germplasm resources.
The frequency distribution of different grades of phenotypic traits of chewing cane germplasm resources in three sources was analyzed (Table 1). The most common grades for the stalk-related traits (IF, IA, WC, CP, CC, WB, Pip, Pit, GBF, GBCU and GBCE) were grade 1 or 2. For the bud-related traits (BFu, BP, 10HG, BS, BWS and LB), the highest frequency occurred at grade 1 or 2. For the leaf-related traits (LP, LC, LSP and 57HG), the highest frequency occurred at grade 1 or 2. The distribution frequencies of the six traits (AR, ICU, ICE, IWP, BFo and LSC) were more dispersed, not concentrated in a single grade.

2.2. Analysis of Genetic Diversity of Quantitative Traits

Statistical analyses were conducted on the mean, standard deviation (SD), coefficient of variation (CV), and genetic diversity index (I and h) for 9 quantitative traits (PH, SD, WpP, CY, Br, SucC, SugC, SL and IN) of the 70 tested germplasm resources (Table 2). CV values ranged from 11.97% to 43.82%, with a mean of 22.92%, indicating significant phenotypic variations among 70 different materials. SugC exhibited the highest CV, indicating substantial dispersion, followed by WpP and CY. The remaining six traits showed lower CV values, indicating a smaller potential for genetic improvement. SugC recorded the highest values for both indices, followed by Br, SucC, and SD.
Further analysis of the bivariate correlations among the nine quantitative traits is presented in Figure 1. PH was significantly positively correlated with WpP, CY, and SugC, and extremely significantly positively correlated with SL. SD was significantly positively correlated with WpP, CY, and SugC, and also positively correlated with IN. WpP was significantly positively correlated with both CY and SugC. CY showed a significant positive correlation with SugC and an insignificant negative correlation with Br, SucC, and SL. Br displayed highly significant positive correlations with both SucC and SugC. SucC and SugC were also highly significantly positively correlated. SL and IN showed a highly significant negative correlation.

2.3. Genetic Diversity and Correlation of Chewing Cane Germplasm Resources Across Three Populatons

Based on the different frequency distributions of 36 phenotypic traits, genetic diversity analysis was conducted on three different origins of chewing cane germplasm resources (Table 3). The highest I and h values were recorded in the Lv group, with values of 1.083 and 0.574, respectively, followed by the Bv group. The Iv group exhibited lower values than the overall population average. The F-statistics analysis revealed a genetic differentiation coefficient of 0.72%, indicating that 0.72% of the genetic variation occurred among origins, while 99.28% occurred within origins.
The genetic distances among the three sugarcane populations were relatively small, and genetic similarity was high (Table 4). In particular, the genetic similarity coefficients between Bv and Iv, and between Bv and Lv, were relatively high, while the corresponding genetic distances were relatively small. This may reflect the fact that Bv materials were developed through crossbreeding and selection involving germplasm materials from both Iv and Lv.

2.4. Cluster Analysis and PCoA of Chewing Cane Germplasm Resources

The genetic distances among the 70 chewing cane germplasm materials ranged from 0.022 to 0.508, with an average of 0.116 (Table S3). The smallest genetic distance was observed between Nonglin No. 8 and Tiancheng No. 21, while the largest distance occurred between Kaiyuan Hongpi 1 and Zhanjiang Qingpi. This was followed by distances of 0.497 between Kaiyuan Hongpi 1 and Jianyang Guozhe, and 0.483 between Pingyang Guozhe and Jianyang Guozhe. A cluster tree was constructed, dividing 70 samples of sugarcane germplasm into three different groups (I, II, and III) based on a similarity coefficient threshold of 0.361 (Figure 2). A two-way Mantel test was conducted to verify the accuracy of the phenotypic data used to distinguish the chewing sugarcane materials. The results showed that there was a highly significant correlation among the common eigenvalues obtained from the cluster analysis (r = 0.61194, p = 0.0020).
Group I included three chewing cane accessions—Haikou Hongpi, Hekou Lvpi, and Tuojianghong—from Lv. The majority of the materials in this group possess the following characteristics: AR-none, IF-cylindrica, IA-upright pattern, ICU and ICE-yellow or green, WC-none, CP and CC-none, WB-obvious, IWP-middle, Pip and Pit-middle, GBF-expansion, GBCU and GBCE-grey orange, BFo-elliptic, BFu-shallow, BP-reach, 10HG-none, BS-middle, BWS-wide, LB-none, LP-erect with carve near tip, LSC-yellow green, LSP-easily detachable, LSC-green with purple spots, and 57HG-none. The average values of the nine quantitative traits—PH, SD, WpP, CY, Br, SucC, SugC, SL, and IN—were: 338.3 cm, 2.93 cm, 2.288 kg, 154.468 t·hm−2, 18.8%, 12.6%, 19.3 t·hm−2, 9.9 cm, and 30, respectively (Table S4).
Group II contained a single accession, Yiwu No. 25, from Bv. This material was characterized by: AR-less, IF-cylindrical, IA-zigzag pattern, ICU and ICE-purple, WC-none, CP and CC-none, WB-obvious, IWP-thick, Pip and Pit-none, GBF-expansion, GBCU-yellow green, GBCE-green, BFo-roundness, BFo-shallow, BP-reach, 10HG-none, BS-middle, BWS-wide, LB-none, LP-erect, LC-green, LSP-easily detachable, LSC-purple, and 57HG-thick. The values of the nine quantitative traits—PH, SD, WpP, CY, Br, SucC, SugC, SL, and IN—were: 315.0 cm, 3.20 cm, 2.533 kg, 171.004 t·hm−2, 18.8%, 12.6%, 21.6 t·hm−2, 11.6 cm, and 29, respectively (Table S4).
Based on the similarity coefficient threshold of 0.412, Group III was further divided into five subgroups (A, B, C, D and E). Subgroup A comprised fifteen materials—B6, Caoba Hongpi, Dechang Guozhe, Jianyang Guozhe, Kaiyuan Hongpi1, Mao2, Oi Dang, Qiantuo, Shexian Guozhe, Taitang 97-5569, Tiancheng No.21, Wutang No.1, Xiamao Guozhe, Xiantao Guozhe, and Yuanhong 33. These accessions were characterized by: AR-less, IF-cylindrical, IA-zigzag-pattern, ICU and ICE-yellow or green, WC-have, CP and CC-have, GBF-expansion, IWP-middle, Pip and Pit-none, GBF-unexpanded, GBCU-yellow green, GBCE-grey orange, BFo-elliptic, BFu-none; BP-reach, 10HG-none, BS-small, BWS-narrow, LB-none, LP-erect with carved near tip, LC-green, LSP-easily detachable, LC-green, and 57HG-none. The mean values of the nine quantitative traits—PH, SD, WpP, CY, Br, SucC, SugC, SL, and IN—were 340.9 cm, 3.04 cm, 2.634 kg, 177.776 t·hm−2, 19.8%, 13.7%, 24.3 t·hm−2, 13.5 cm, and 29, respectively (Table S4).
Subgroup B comprised six chewing cane germplasm materials—Binxian Qingpi, Datian Xuezhe, Guangdong Huangpi, Leizhou Guozhe, Meixian Guozhe, and Wenzhou Guozhe. These accessions exhibited: AR-more, IF-drum, IA-upright pattern, ICU and ICE-yellow, WC-none, CP-have, CC-none, WB-obvious, IWP-middle, Pip and Pit-none, GBF-unexpansion, GBCU and GBCE-yellow green, BFo-elliptic, BFu-shallow, BP-high, 10HG-none, BS-big, BWS-narrow, LB-none, LP-erect with carved tip; LC-yellow green, LSP-easy detach, LSC-green, and 57HG-none. The mean values of the nine quantitative traits in Subgroup B were 296.7 cm, 2.95 cm, 2.041 kg, 137.800 t·hm−2, 21.2%, 15.2%, 21.0 t·hm−2, 11.5 cm, and 32, respectively (Table S4).
Subgroup C comprised three chewing cane accessions—Black Cheribon, Lipu, and Pengyang Guozhe. These materials were characterized by: AR-more, IF-cylindrical, IA-upright pattern, ICU-green, ICE-yellow, WC-none, CP and CC-none, WB-obvious, IWP-thin, Pip-middle, Pit-mild, GBF-unexpansion, GBCU-yellow green, GBCE-grey orange, BFo-oval, BFu-none, BP-reach, 10HG-none, BS-middle, BWS-narrow, LB-none, LP-drooping, LC-green, LSP-easily detachable, LC-green, and 57HG-none. The mean values of the nine quantitative traits in Subgroup C were 313.2 cm, 2.45 cm, 1.476 kg, 99.657 t·hm−2, 20.9%, 15.0%, 14.9 t·hm−2, 11.7 cm, and 31, respectively (Table S4).
Subgroup D comprised four chewing cane accessions—Badila, Guiguozhe No.1, Neijiang 15-3, and Xiangnan 74-9. These materials exhibited: AR-less, IF-drum, IA-zigzag pattern, ICU and ICE-green, WC-have, CP and CC-have, WB-not obvious, IWP-thin, Pip and Pit-none, GBF-expansion, GBCU-green, GBCE-grey orange, BFo-triangular, BFu-none, BP-reach, 10HG-none, BS-middle, BW-arrow, LB-have, LP-drooping, LC-green, LSP-easily detachable, LSC-green with purple spots, and 57HG-sparse. The mean values of the nine quantitative traits in Subgroup D were 291.5 cm, 3.10 cm, 2.265 kg, 152.860 t·hm−2, 19.8%, 13.7%, 21.0 t·hm−2, 11.9 cm, and 32, respectively (Table S4).
Subgroup E was the largest subgroup, consisting of 38 samples, including 9 Bv samples, 8 Iv samples, and 21 Lv samples. Among these five subgroups, subgroup A formed one branch, while subgroups B and C formed another branch, and subgroups D and E formed the third branch. Using a genetic similarity coefficient of 0.474 as the threshold, subgroup E was further divided into five subclasses. Subclass E1 included Guangxi Qingpi, Guangzhou Qingpi, Huangshan Guozhe, and Zhanjiang Qingpi. Subclass E2 comprised Aohong, Binchuang Xiaozhe, Stipd Chiribon, and Taipingsha 70-13. Subclass E3 contained Dongxiang Guozhe, Fuguo No.1, Gengmazhe, Jiangyong Guozhe, Shengxian Guozhe, Taoshan Guozhe, and Waigandan No.2. Subclass E4 included 17 accessions, such as Indonesia C, Kacai, Mauritius, and Minguo No.4. Subclass E5 comprised B1, Fengcheng Guozhe, Hainan 17-102, Hainan 17-23, Kaiyuan Hongpi2, and Luohanzhe. In terms of genetic differentiation, Subgroup E first diverged into Subclass E1, followed by Subclass E2, then Subclass E5, and finally into subclasses E3 and E4. Subclasses E3 and E4 formed a branch, indicating the closest genetic relationship between them.
PCoA was conducted on 70 chewing cane germplasm resources from three different sources (Figure 3). The first, second, and third principal coordinates accounted for 9.06%, 6.14%, and 5.49% of the variance, respectively. Overall, the chewing cane germplasm resources were distributed across all quadrants. Most materials were concentrated in the upper part of the plot, with distributions among sources relatively scattered and intermingled. This pattern indicates a complex genetic background, with evidence of both gene flow and genetic differentiation among sources. Significant differences existed between individuals and the overall population. The three accessions of Group I clustered in the lower-left quadrant, Group II was located in the lower-right quadrant, and most materials in Group III were concentrated in the upper region. These results were consistent with those obtained from the cluster analysis.
These research results indicate that these 70 chewing cane germplasm resources can be classified into three groups, five subgroups and five subclasses based on the genetic similarity coefficient determined by phenotypic characteristics. It was worth noting that more than half (54%) of the materials were concentrated in a single subgroup.

2.5. Identification of Private Alleles in Chewing Cane Germplasm Resources

Based on the frequency of phenotypic trait grades among populations, private alleles in chewing cane germplasm resources were identified and enumerated (Table S5). A total of 26 private alleles associated with 13 phenotypic traits—10HG, Br, CY, GBCU, IF, IN, LC, PH, Pit, SD, SL, SucC, and WpP—were detected across three groups. Thirty-eight chewing cane accessions were found to contain at least one private allele, including seven, seven, and twenty-four accessions derived from Bv, Iv, and Lv, respectively (Table 5). Among these, 27 accessions carried a single private allele, six carried two private alleles, and five retained three private alleles. Accessions retaining private alleles may exhibit unique phenotypic traits and represent important genetic resources for sugarcane breeding.

3. Discussion

China has a long history of sugarcane cultivation and possesses a rich diversity of local sugarcane varieties, which are widely distributed. Many high-quality local chewing cane varieties are still cultivated in different regions, such as Guangzhou Qingpi and Leizhou Guozhe in Guangdong Province, Guangxi Qingpi and Lipu in Guangxi, Datian Xuezhe and Jianyang Guozhe in Fujian, and Wenshan Guozhe and Luohanzhe in Yunnan. During the course of sugarcane cultivation, these local varieties replaced Zhuzhe and Luzhe, which had historically played an important role in production [2,7,10].
In the 1930s, China introduced the Saccharum officinarum L. variety Badila from the Philippines. This variety is characterized by large stems, abundant juice, crisp texture, and a distinctive purplish-black color when exposed to sunlight. Due to its excellent commercial qualities, it was well-received by both producers and consumers and gradually became the dominant chewing cane variety cultivated in China [6]. However, despite their long cultivation history, local chewing cane varieties have often been grown using outdated agricultural practices, leading to significant loss of genetic purity. Some varieties are now on the verge of disappearance. The identification and preservation of these superior varieties are of considerable academic significance and practical value for enriching China’s chewing cane genetic resources and for further breeding and utilization [31]. In recent years, to meet market demands, researchers have collected, evaluated, and utilized existing chewing cane resources, selecting new multi-purpose varieties such as Xitian No. 21, Yiwu No. 25, and Guiguozhe No. 1 [10,32]. These new varieties have been widely adopted in certain regions, contributing significantly to the development of China’s sugarcane industry. In order to optimize the utilization effects of local varieties, introduced varieties and bred varieties, genetic diversity analysis was conducted on 36 phenotypic traits of 70 chewing sugar cane germplasm resources.
Among these three trait categories, the genetic diversity of stalk traits was the highest, followed by leaf traits, and the genetic diversity of flower bud traits was the lowest. A previous study on the phenotypic diversity of 106 Yutang series sugarcane parents indicated that the diversity of leaf traits was the highest, followed by bud traits, while the diversity of stalk traits was the lowest [18]. Similarly, a genetic diversity analysis of 138 Yacheng series parental lines revealed that the diversity of leaf traits was the highest, followed by stem traits, while the diversity of flower bud traits was the lowest [20]. Furthermore, an investigation into the genetic diversity of 18 qualitative traits in 42 local chewing cane germplasm resources [13] revealed that the traits with the highest diversity were internode color after exposure and bud shape, followed by internode shape, whereas stem shape exhibited the lowest diversity. The substantial ecological differences among sugarcane germplasm resources, combined with long-term cultivation and selection, have resulted in distinct phenotypic traits and corresponding differences in genetic diversity indices.
Due to the similarity in climate and environmental conditions in the regions of origin, as well as the fact that some parental lines were identical or closely related, the genetic background differences among the three groups were not substantial. Consequently, they exhibited relatively small genetic distances and high genetic similarity coefficients. Nevertheless, chewing cane genetic resources from different sources displayed distinct genetic characteristics. The genetic diversity indices of the Lv group were higher than those of the other two groups. Furthermore, the Lv group retained a greater number of private alleles (24), indicating higher genetic uniqueness. These private alleles may have resulted from a longer process of natural selection and adaptation to specific environmental conditions in local populations, thus possessing significant conservation value [31]. In contrast, the Bv and Iv groups may have lost certain advantageous alleles due to artificial selection and the limited founder effect. Future chewing cane breeding programs should therefore strengthen the conservation and breeding utilization of these local resources to preserve their unique genetic attributes [29].
The genetic similarity dendrogram indicated that geographical distance among the three groups had no significant effect on genetic differentiation and was not significantly correlated with genetic distance. Seventy samples can be classified into three major groups, five subgroups and five subclasses based on the genetic similarity coefficient determined by phenotypic characteristics. The results of a two-way Mantel test indicated that there was a highly significant correlation among the co-similarity values obtained from the cluster analysis [20]. The results of PCoA were consistent with those of the clustering analysis. Group I comprised three accessions (Haikou Hongpi, Hekou Lvpi, and Tuojianghong) from Lv; Group II contained one accession (Yiwu No. 25) from Bv; and Group III was further divided into five subgroups (A, B, C, D and E) based on the similarity coefficient threshold of 0.412. It was worth noting that the germplasm materials from the same origin were not always classified into the same category, which indicated that there was significant genetic differentiation among the chewing cane accessions from the same source. These clustering results provide important reference information for understanding the genetic relationships among the chewing cane germplasm resources [33].
Different groups or subgroups exhibited distinct phenotypic characteristics. In actual breeding work, it is recommended to select parental materials from different clustering groups—especially those individuals with distant genetic relationships—for the purpose of hybrid breeding [34]. It is not feasible to determine parental combinations solely on the basis of obvious agronomic traits, such as stem color. From a molecular perspective, chewing cane varieties with different stem colors may be genetically similar, whereas varieties with the same stem color may possess considerable genetic differences. Therefore, in chewing cane hybrid breeding, factors such as origin, geographical distribution, economic traits, and genetic relationships should all be considered. Selecting materials with relatively large overall genetic differences is conducive to identifying superior parental combinations [17,20]. For example, Kaiyuan Hongpi 1 (subgroup A) and Zhanjiang Qingpi (Subclass E2), as well as Pingyang Guozhe (Subclass E4) and Jianyang Guozhe (subgroup A), exhibited large genetic distance coefficients and may represent optimal parental combinations.
Private alleles are an important indicator for assessing the genetic uniqueness of crop populations. By analyzing the private alleles of chewing cane accessions from different geographical origins, genetic differences can be identified, and germplasms with unique genetic compositions can be selected for targeted hybrid breeding [35,36]. Accessions retaining private alleles may exhibit distinctive phenotypic traits and represent valuable genetic resources for sugarcane breeding. For instance, eight chewing cane accessions—Fuguo No. 1, Qiantuo, Lipu, Binchuang Xiaozhe, Huangshan Guozhe, Oi Dang, Taining Guozhe, and Taoshan Guozhe—retained the private allele Pit-grade2. These alleles can be used to rapidly distinguish varieties with similar genetic backgrounds and to serve as markers for precise selection of target traits in early generations, thereby improving breeding efficiency. Germplasm containing private alleles may also harbor valuable genetic variations beneficial for crop improvement. Chewing cane Aohong possessed three private alleles (PH-grade1, IN-grade1, and LC-grade3), when used as a parent, could be crossed with other parental lines to facilitate the targeted selection of varieties with reduced plant height, shorter internodes, and green leaves.

4. Materials and Methods

4.1. Plant Materials

A total of 70 chewing cane germplasm resources were obtained from the sugarcane germplasm resource nursery (18°39′ N, 109°15′ E) at the Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences. These comprised 41 Local varieties (Lv), 12 Introduced varieties (Iv), and 17 Bred varieties (Bv). Detailed information on the origins of the chewing cane materials is provided in Table S1. The planting soil was sandy loam. The annual average temperature ranges from 22 to 27 °C, the annual sunshine duration is 1750 to 2650 h, the sunshine rate is 50% to 60%, and the annual average rainfall is 1000 to 2600 mm. It belongs to the tropical monsoon maritime climate.

4.2. Field Testing and Trait Investigation

All experimental materials were cultivated during the 2023–2024 growing seasons, including one cycle of plant cane and one cycle of ratoon cane. Seedlings were germinated in a nursery in January 2023 and transplanted to experimental plots in March 2023. The plant cane was harvested in December 2023, after which ratoon cane growth commenced in 2024. Cane stems were planted in pots, two buds per pot, and managed under standard irrigation and fertilization regimes until maturity. In December 2023 and 2024, ten mature plants per germplasm accession were randomly selected for the evaluation of 36 phenotypic traits (Table S2) during both the plant cane and ratoon cane stages. Trait assessment and data recording followed the Specification and Data Standard of Sugarcane Germplasm Resources Description [37].
Of the 27 qualitative traits evaluated, 15 were stalk-related traits, 7 were bud-related traits and 5 leaf-related traits. Each trait was determined through direct field observation and comparative analysis. The remaining nine traits were quantitative: plant height (PH), stalk diameter (SD), weight per plant (WpP), cane yield (CY), Brix (Br), sucrose content (SucC), sugar content (SugC), stem length (SL), and internode number (IN). Data for these traits were obtained from statistical analyses of measurements collected over two consecutive years. All 36 phenotypic traits were used to assess the genetic diversity of the chewing cane germplasm.

4.3. Data Processing and Statistical Analysis

Quantitative trait values were collected from field experiments. Membership function values for quantitative traits were calculated using the fuzzy membership function method [18,20], according to the following formula: μ ( χ i ) = χ i χ i min χ i max χ i min ( i   =   1 ,   2 ,   3 9 ) , where μ(χi) is the membership function value of the i-th trait for a given chewing cane germplasm, χi is the trait value, and χimax and χimin are the maximum and minimum values, respectively, of that trait among all resources. Each quantitative trait value was normalized to the interval [0, 1].
Relative frequencies of each grade or interval for phenotypic traits were used to compute genetic diversity indices. Standard statistical descriptors—average value, standard deviation (SD), minimum (min.), maximum (max.), and coefficient of variation (CV)—were calculated using WPS Office for Windows v12.1. The frequency distribution of trait categories, Shannon’s information index (I), and Nei’s genetic diversity index (h) were computed using GenAlEx version 6.503 [38].
Genetic similarity and genetic distance were calculated using the Nei72 coefficient and the sm coefficient, respectively, in NTSYS-pc version 2.11e [39]. Cluster analysis was performed using the Sequential Agglomerative Hierarchical Nested (SAHN) method and the Unweighted Pair Group Method with Arithmetic Mean (UPGMA) based on genetic similarity coefficients, implemented in NTSYS-pc version 2.11e [39]. Cophenetic correlation was evaluated using the Mantel test with two-way matrix comparison in NTSYS-pc version 2.11e [40,41]. F-statistics (Fst), principal coordinates analysis (PCoA), and identification of private alleles were also conducted using GenAlEx version 6.503 [38].

5. Conclusions

The chewing cane germplasm resources examined exhibited extensive phenotypic variation, with pronounced differences observed across traits. Traits such as ICU, BS, LSC, IWP, Bfo, IF, and ICE demonstrated relatively high diversity and a wide range of genetic variations. The genetic distance among the three groups was relatively small, with the Lv group exhibiting the highest genetic diversity indices. Seventy chewing cane samples were clustered into three distinct groups, with a highly significant cophenetic correlation, consistent with the PCoA results. Combinations such as Kaiyuan Hongpi 1 (subgroup A) and Zhanjiang Qingpi (Subclass E2), as well as Pingyang Guozhe (Subclass E4) and Jianyang Guozhe (subgroup A), were identified as potential parental pairs for hybridization. Eight accessions—Fuguo No. 1, Qiantuo, Lipu, Binchuang Xiaozhe, Huangshan Guozhe, Oi Dang, Taining Guozhe, and Taoshan Guozhe—retaining the private allele Pit-grade2 can serve as markers for the precise selection of target traits in early breeding generations. Aohong, possessing three private alleles (PH-grade1, IN-grade1, and LC-grade3), is a promising parent for the targeted breeding of varieties with reduced plant height, shorter internodes, and green leaves. These results provide important references for the breeding of chewing cane.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/plants14193111/s1, Table S1. The information of 70 chewing cane germplasm resources. Table S2. Grading criteria for 27 qualitative traits of chewing cane germplasm resources. Table S3. The genetic distance matrix of 70 chewing cane germplasm resources. Table S4. The characteristics of different groups of chewing cane germplasm resources. Table S5. Private alleles in chewing cane across different origins.

Author Contributions

Conceptualization, J.W. and Q.W.; methodology, C.Z., Z.L. and J.W.; software, Z.W. and Q.L.; validation, C.Z. and Y.C.; formal analysis, J.X., Z.W. and J.W.; investigation, J.X., Z.L. and Q.L., resources, Q.W., data curation, J.X., writing—original draft preparation, J.X. and J.W.; writing—review and editing, J.W.; visualization, C.Z.; supervision, Y.C.; project administration, Q.W. and H.C., funding acquisition, J.X., H.C., Q.W. and J.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by provincial scientific research institutions stability support sub-project in 2020 “Breeding and construction of healthy seedling propagation system of new sugarcane varieties (lines)” and CARS (CARS-17).

Data Availability Statement

Data are contained within the article and Supplementary Materials.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Shanmuganathan, M.; Gayathry, G.; Maheshwari, P.; Vellaikumar, S. Identification of flavor producing compounds and multi elements from chewing cane (Saccharum officinarum L. cv. badila). Sugar Tech. 2024, 26, 87–94. [Google Scholar] [CrossRef]
  2. Xie, J.; Liang, Q.; Chang, H.; Liu, Z.; Zhang, C.; Wei, Z.; Wang, Q.; Wu, J. The market research and suggestion of chewing cane in Sanya City, Hainan Province. Sugarcane Canesugar 2024, 53, 75–80. [Google Scholar]
  3. Li, R.M.; He, Y.S. Amino acid component and nutritious elements of different chewing cane varieties. Chin. J. Trop. Crops 2017, 38, 171–174. [Google Scholar]
  4. Wu, S.H.; Li, H.M.; Zhang, S.H.; Li, R.M.; Lin, Y.X. Growth differences between seedcanes of pathogen-free chewing and conventional sugarcanes. Fujian J. Agric. Sci. 2012, 27, 821–825. [Google Scholar]
  5. Yang, T.; Shen, S.Y.; Wang, Z.N.; Yang, L.; Shang, S.X.; Cui, J.; Ying, X.M. Analysis and evaluation of nutritional quality of 100 sugarcane germplasm resources. Chin. J. Trop. Crops 2023, 44, 484–493. [Google Scholar]
  6. Lin, Y.X.; Wu, S.J.; Zhang, S.H.; Li, H.M.; Li, R.M.; Pan, S.M. Achievements, problems and countermeasures of cane science and technology development in China. China Agric. Inf. 2009, 16–20. [Google Scholar] [CrossRef]
  7. Wang, J.H.; Cao, G.; Zhang, J.L.; Wang, L.; Lü, B. The production situation and sustainable development of fruit cane in China. Sugarcane Canesugar 2013, 56–61. [Google Scholar]
  8. Ding, C.W.; Lyu, Y.P.; Wang, Y.T.; Mao, L.R.; Mou, H.J.; Li, H.Y.; Chen, J.P.; Chen, Z. Comparative analysis of field traits among different generations of virus-free chewing cane. Acta Agron. Sin. 2025, 2750–2758. [Google Scholar] [CrossRef]
  9. Yang, Y.L.; Wu, Y.L.; Zan, L.M.; Chen, Y.M.; Yang, B.P. Screening of bacteriostatic agents for sugarcane open hydroponics. J. Trop. Biol. 2025, 16, 512–518. [Google Scholar]
  10. Zhang, L.J.; Wu, F.; Li, J.Z.; Luo, Y.C.; Shan, B.; Lin, Y.F. Development history of industrial cane and chewing cane varieties in China. Agric. Res. Appl. 2023, 36, 79–86. [Google Scholar]
  11. Wang, T.; Wang, B.; Hua, X.; Tang, H.; Zhang, Z.; Gao, R.; Qi, Y.; Zhang, Q.; Wang, G.; Yu, Z.; et al. A complete gap-free diploid genome in Saccharum complex and the genomic footprints of evolution in the highly polyploid Saccharum genus. Nat. Plants 2023, 9, 554–571. [Google Scholar] [CrossRef]
  12. Ran, Z.; Xiao, X.; Zhou, L.; Yan, C.; Bai, X.; Ou, J.; Li, Z. Phenotypic diversity analysis in the sect. Tuberculate (camellia L.) population, an endemic taxon in china. Plants 2024, 13, 3210. [Google Scholar] [CrossRef]
  13. Li, R.M.; Zhang, S.H.; Li, H.M.; Pan, S.M. Diversity analysis of morphology and main agronomic traits in chewing cane. J. Trop. Subtrop. Bot. 2015, 23, 399–404. [Google Scholar]
  14. Xiao, Y.; Liu, J.; Zhou, Y.M.; Zhang, C.P.; De Chen, D.; Zhong, P.; Lü, D. New planting performance and genetic diversity cluster analysis in chewing cane germplasm resources. Sugarcane Canesugar 2018, 6–11. [Google Scholar] [CrossRef]
  15. Yu, H.X.; An, R.D.; Tao, L.A.; Lang, R.B.; Bian, X.; Zhang, Y.; Liu, X.L.; Liu, J.Y.; Zhao, L.P.; Liu, H.B.; et al. Comprehensive evaluation of the reciprocal hybrids of 57NG208 and Nanjiang chewing cane based on agronomic traits. Crops 2025. Available online: https://link.cnki.net/urlid/11.1808.S.20250313.1754.006 (accessed on 18 August 2025).
  16. Guo, Q.; Jiang, Q.M.; He, H.L.; Li, Z.Y.; Liang, Y.J.; Qin, C.X.; Tang, L.Q. Evaluation of 141 excellent Zhongzhe sugarcane germplasms based on principal component analysis and cluster analysis. Chin. J. Trop. Crops 2024, 45, 49–59. [Google Scholar]
  17. Wu, J.T.; Wang, Q.N.; Xie, J.; Zhou, F.; Xu, H.Y.; Liu, Z.; Qiu, Y.H.; Chen, J.L.; Chang, H.L.; Zhang, C.M.; et al. Multivariate analysis of 31 phenotypic traits among major parental lines of sugarcane breeding programs in China. J. Anim. Plant Sci. 2021, 31, 719–732. [Google Scholar] [CrossRef]
  18. Wu, J.T.; Xu, H.Y.; Xie, J.; Qiu, Y.S.; Zhang, C.M.; Zhou, F.; Liu, Z.; Wang, Q.N. Genetic diversity analysis of phenotypic traits in Yuetang serial sugarcane (Saccharum officinarum L.) parental resources. J. Plant Genet. Resour. 2018, 19, 755–766. [Google Scholar]
  19. Zan, F.G.; Wu, C.W.; Zhao, P.F.; Zhao, J.; Xia, H.M.; Yang, K.; Li, Y.; Qin, W.; Liu, J.Y. Study on phenotypic diversity in exotic sugarcane germplasm. Southwest China J. Agric. Sci. 2014, 27, 1369–1373. [Google Scholar]
  20. Xie, J.; Chang, H.L.; Zhang, C.M.; Wang, Z.Q.; Liang, Q.G.; Cheng, Y.J.; Wang, Q.N.; Wu, J.T. Genetic diversity analysis of phenotypic traits in Yacheng series sugarcane parents. Trop. Plant Biol. 2025, 18, 56. [Google Scholar] [CrossRef]
  21. Zhao, Y.; Zhao, P.F.; Hu, X.; Zhao, J.; Zan, F.G.; Yao, L.; Zhao, L.P.; Yang, K.; Qin, W.; Xia, H.M.; et al. Evaluation of 317 sugarcane germplasm based on agronomic traits rating data. Sci. Agric. Sin. 2019, 52, 602–615. [Google Scholar]
  22. de Paula, E.; Almeida, R.N.D.; Santos, T.D.O.; Souza Neto, J.D.D.; Riva-Souza, E.M.; Posse, S.C.P.; Souza, M.N.; Madella De Oliveira, A.D.F.; Santos Júnior, A.C.; Santos, J.O.; et al. Genetic diversity of common bean (Phaseolus vulgaris L.) landraces based on morphological traits and molecular markers. Plants 2024, 13, 2584. [Google Scholar] [CrossRef]
  23. Shumet, T.G.; Tesema, T.H. Genetic diversity of qualitative traits of barley (Hordeum vulgare L.) landrace populations collected from Gamo Highlands of Ethiopia. Int. J. Biodivers. Conserv. 2014, 6, 663–673. [Google Scholar] [CrossRef]
  24. Zhou, S.; Huang, Y.X.; Duan, W.X.; Gao, Y.J.; Yang, C.F.; Zhou, Z.F.; Lu, S.Y.; Zhang, G.M.; Zhang, B.Q. Genetic diversity assessment of sugarcane native of domestic with phenotypic traits. Chin. J. Trop. Crops 2023, 44, 1123–1134. [Google Scholar]
  25. Kefyalew, T.; Tefera, H.; Assefa, K.; Ayele, M. Phenotypic diversity for qualitative and phenologic characters in germplasm collections of tef (Eragrostis tef). Genet. Resour. Crop Evol. 2000, 47, 73–80. [Google Scholar] [CrossRef]
  26. Wu, J.T.; Wang, Q.N.; Xie, J.; Pan, Y.; Zhou, F.; Guo, Y.Q.; Chang, H.L.; Xu, H.Y.; Zhang, W.; Zhang, C.M.; et al. SSR marker-assisted management of parental germplasm in sugarcane (Saccharum spp. Hybrids) breeding programs. Agronomy 2019, 9, 449. [Google Scholar] [CrossRef]
  27. He, E.Q.; Pan, Y.B.; Fu, Y.H.; Lei, S.F.; Li, X.Y.; Lu, J.J.; Zhang, Z.X. Genetic diversity analysis of nine chewing cane varieties (lines) and construction of their DNA fingerprints. J. South. Agric. 2016, 47, 1815–1821. [Google Scholar]
  28. Pu, H.Y. Assessment of Genetic Diversity of Chewing Cane Germplasm Based on RAPD and ISSR. Master’s Thesis, Fujian Agriculture and Forestry University, Fuzhou, China, 2006. [Google Scholar]
  29. Wang, Y.Q. Studies on the Germplasm Resources of Chewing Cane. Master’s Thesis, Fujian Agriculture and Forestry University, Fuzhou, China, 2002. [Google Scholar]
  30. Xie, J.; Chang, H.L.; Liu, Z.; Zhang, C.M.; Wang, Q.N.; Wu, J.T. Effects of virus-free seedling of chewing cane on agronomic traits and quality. Mol. Plant Breed. 2024. Available online: https://link.cnki.net/urlid/46.1068.S.20240604.1032.008 (accessed on 18 August 2025).
  31. Chandran, K.; Nisha, M.; Gopi, R.; Mahendran, B.; Chandran, D.; Mahesh, P.; Arun Kumar, R.; Krishnapriya, V.; Gomathi, R.; Malathi, P.; et al. Sugarcane genetic resources for challenged agriculture. Sugar Tech. 2023, 25, 1285–1302. [Google Scholar] [CrossRef]
  32. Liu, H.J.; Liang, W.S.; He, W.Z.; Ye, Q.; Liu, L.M.; He, Y.B.; Lu, M.M.; Liu, J.X.; Li, S.; Lin, S.H. Growth characters and properties variation of different generations of chewing cane Guiguozhe 1 seedlings. J. South. Agric. 2021, 52, 288–296. [Google Scholar]
  33. Ma, X.X.; Zhang, C.; Qin, H.X.; Zhang, W.B.; Qiao, J.X.; He, Y.W.; Zhong, H.X.; Zhang, F.C.; Zhou, X.M.; Wu, X.Y.; et al. Identification and comprehensive evaluation of 129 grape germplasm resources. Mol. Plant Breed. 2024. Available online: https://link.cnki.net/urlid/46.1068.S.20240223.1440.008 (accessed on 18 August 2025).
  34. Liu, X.L.; Ma, L.; Cai, Q.; Ying, X.M.; Lu, X.; Su, H.S.; Mao, J.; Fan, Y.H. Genetic diversity analysis of phenotypic traits in Yunnan sugarcane varieties. J. Plant Genet. Resour. 2010, 11, 703–708. [Google Scholar]
  35. Sullivan, E.R.; Barker, C.; Powell, I.; Ashton, P.A. Genetic diversity and connectivity in fragmented populations of Rhinanthus minor in two regions with contrasting land-use. Biodivers. Conserv. 2019, 28, 3159–3181. [Google Scholar] [CrossRef]
  36. Agostini, G.; Loy, A.; Gentile, G.; Giovacchini, S.; De Sanctis, C.; Mirone, E.; Papaleo, L.; Petrella, A.; D Alessio, N.; Colangelo, P. A non-invasive genetics insight into population structure and recolonization dynamics of the Eurasian otter (Lutra lutra) at the boundary of its Italian core range. Mamm. Biol. 2025, 105, 355–369. [Google Scholar] [CrossRef]
  37. Cai, Q.; Fan, Y.H. Description Specification and Data Standard for Sugarcane (Saccharum officinarum L.); China Agriculture Press: Beijing, China, 2006. [Google Scholar]
  38. Peakall, R.; Smouse, P.E. GenAlEx 6.5: Genetic analysis in Excel. Population genetic software for teaching and research—An update. Bioinformatics 2012, 28, 2537–2539. [Google Scholar] [CrossRef]
  39. Rohlf, F.J. NTSYS pc2.1: Numerical Taxonomy and Multivariate Analysis System Version 2.1; Applied Biostatistics Inc.: New York, NY, USA, 2000. [Google Scholar]
  40. Hegay, S.; Geleta, M.; Bryngelsson, T.; Asanaliev, A.; Garkava-Gustavsson, L.; Persson Hovmalm, H.; Ortiz, R. Genetic diversity analysis in Phaseolus vulgaris L. using morphological traits. Genet. Resour. Crop Evol. 2014, 61, 555–566. [Google Scholar] [CrossRef]
  41. Mantel, N. The detection of disease clustering and a generalized regression approach. Cancer Res. 1967, 27, 209–220. [Google Scholar] [PubMed]
Figure 1. Correlation analysis of quantitative traits of chewing cane germplasm resources. * and ** represented significant and extremely significant correlations, respectively. Larger circles and darker colors indicated stronger correlations. Nine quantitative traits were Plant height (PH, cm), Stalk diameter (SD, cm), Weight per plant (WpP, kg), Cane yield (CY, t/hm2), Brix (Br, %), Sucrose content (SucC, %), Sugar content (SugC, t/hm2), Stem length (SL, cm), and Internode number (IN, cm).
Figure 1. Correlation analysis of quantitative traits of chewing cane germplasm resources. * and ** represented significant and extremely significant correlations, respectively. Larger circles and darker colors indicated stronger correlations. Nine quantitative traits were Plant height (PH, cm), Stalk diameter (SD, cm), Weight per plant (WpP, kg), Cane yield (CY, t/hm2), Brix (Br, %), Sucrose content (SucC, %), Sugar content (SugC, t/hm2), Stem length (SL, cm), and Internode number (IN, cm).
Plants 14 03111 g001
Figure 2. Cluster dendrogram of 70 chewing cane germplasm resources based on genetic similarity. Genetic similarity was calculated using the sm coefficient. The red rhombus, green square and blue triangle represented Bred variety, Introduced variety and Local variety, respectively. Seventy chewing cane resources were divided into three groups (I, II, and III) at the threshold of 0.361. Group III was further divided into five subgroups (A, B, C, D and E) at the threshold of 0.412. Subgroup E was further divided into five subclasses (E1–E5) at the threshold of 0.474.
Figure 2. Cluster dendrogram of 70 chewing cane germplasm resources based on genetic similarity. Genetic similarity was calculated using the sm coefficient. The red rhombus, green square and blue triangle represented Bred variety, Introduced variety and Local variety, respectively. Seventy chewing cane resources were divided into three groups (I, II, and III) at the threshold of 0.361. Group III was further divided into five subgroups (A, B, C, D and E) at the threshold of 0.412. Subgroup E was further divided into five subclasses (E1–E5) at the threshold of 0.474.
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Figure 3. Principal component analysis (PCoA) of chewing cane germplasm resources. The red rhombus, green square and blue triangle represented Bred variety, Introduced variety and Local variety, respectively.
Figure 3. Principal component analysis (PCoA) of chewing cane germplasm resources. The red rhombus, green square and blue triangle represented Bred variety, Introduced variety and Local variety, respectively.
Plants 14 03111 g003
Table 1. Genetic diversity index of the 27 qualitative traits of chewing cane. CV, I and h represented coefficient of variation, Shannon’s information index, and Nei’s genetic diversity index, respectively.
Table 1. Genetic diversity index of the 27 qualitative traits of chewing cane. CV, I and h represented coefficient of variation, Shannon’s information index, and Nei’s genetic diversity index, respectively.
TypeTraitDistribution Frequency of Different GradesCV (%)Ih
123456
Stalk-related traitsAerial root (AR)0.30 0.34 0.36 39.59 0.992 0.597
Internode form (IF)0.19 0.54 0.14 0.04 0.03 0.06 53.09 1.184 0.622
Internode arrangement (IA)0.54 0.46 34.43 0.674 0.481
Internode color unexposed (ICU)0.04 0.40 0.44 0.11 28.36 1.014 0.604
Internode color exposed (ICE)0.26 0.23 0.31 0.20 44.20 1.301 0.711
Water crack (WC)0.71 0.29 35.39 0.618 0.429
Cork patch (CP)0.54 0.46 34.43 0.649 0.458
Cork cracks (CC)0.59 0.41 35.08 0.644 0.453
Wax band (WB)0.60 0.40 35.25 0.664 0.471
Internode wax powder (IWP)0.29 0.37 0.30 0.04 41.46 1.131 0.638
Pipe (Pip)0.73 0.13 0.14 51.77 0.674 0.368
Pith (Pit)0.79 0.11 0.10 49.40 0.497 0.288
Growth bands form (GBF)0.59 0.41 35.08 0.666 0.473
Growth bands color unexposed (GBCU)0.81 0.11 0.07 46.29 0.516 0.305
Growth bands color exposed (GBCE)0.04 0.50 0.46 23.91 0.812 0.528
Mean 39.84 1.173 0.610
Bud-related traitsBud form (BFo)0.37 0.20 0.09 0.34 54.21 1.140 0.647
Bud furrow (BFu)0.64 0.23 0.13 48.27 0.791 0.476
Bud placement (BP)0.16 0.63 0.21 29.71 0.435 0.307
No.10 hair group (10HG)0.94 0.06 22.12 0.107 0.059
Bud size (BS)0.03 0.51 0.27 0.19 31.43 1.029 0.579
Bud wing size (BWS)0.30 0.53 0.17 36.30 0.847 0.539
Lateral budding (LB)0.93 0.07 24.21 0.237 0.138
Mean 35.18 0.655 0.392
Leaf-related traitsLeaf posture (LP)0.17 0.79 0.04 23.93 0.537 0.339
Leaf color (LC)0.17 0.81 0.01 21.93 0.507 0.299
Leaf sheath phimosis (LSP)0.56 0.36 0.09 42.73 0.890 0.548
Leaf sheath color (LSC)0.14 0.41 0.40 0.04 33.21 1.114 0.641
No.57 hair group (57HG)0.67 0.19 0.14 50.06 0.833 0.484
Mean 34.37 0.776 0.462
Mean 37.18 0.756 0.460
Table 2. Genetic diversity index of the 9 quantitative traits of chewing cane. SD, Min. and Max. represented standard deviation, minimum and maximum, respectively. CV, I and h represented coefficient of variation, Shannon’s information index and Nei’s genetic diversity index, respectively.
Table 2. Genetic diversity index of the 9 quantitative traits of chewing cane. SD, Min. and Max. represented standard deviation, minimum and maximum, respectively. CV, I and h represented coefficient of variation, Shannon’s information index and Nei’s genetic diversity index, respectively.
TraitAverage ValueSDMin.Max.CV (%)Ih
Plant height (PH, cm)319.5 38.9 236.3 417.5 12.17 1.5900.733
Stalk diameter (SD, cm)2.88 0.54 1.76 4.30 18.83 1.8800.827
Weight per plant (WpP, kg)2.162 0.866 0.737 5.228 40.08 1.7690.799
Cane yield (CY, t/hm2)145.931 58.487 49.759 352.886 40.08 1.7690.799
Brix (Br, %)19.5 2.3 12.1 23.4 11.97 1.8900.828
Sucrose content (SucC, %)13.5 2.5 5.4 17.627518.83 1.8900.828
Sugar content (SugC, t/hm2)19.6 8.5 4.8 46.1 43.52 1.8910.827
Stem length (SL, cm)12.4 2.7 7.6 20.0 21.45 1.7860.803
Internode number (IN, cm)30 5 13 42 16.80 1.6590.766
Mean 24.86 1.792 0.801
Table 3. Genetic diversity index of chewing cane germplasm resources across different populations. I, h and Fst represented Shannon’s information index, Nei’s genetic diversity index and F-statistics, respectively.
Table 3. Genetic diversity index of chewing cane germplasm resources across different populations. I, h and Fst represented Shannon’s information index, Nei’s genetic diversity index and F-statistics, respectively.
PopulationIhFst
Bred variety (Bv)1.0220.543
Introduced variety (Iv)0.9480.524
Local variety (Lv)1.0830.574
Mean1.0070.5370.0072
Table 4. Genetic distances and genetic similarity coefficients among the three types of source materials. The data in the upper right corner of the table represented genetic distance, while the data in the lower left corner of the table represented a genetic similarity coefficient.
Table 4. Genetic distances and genetic similarity coefficients among the three types of source materials. The data in the upper right corner of the table represented genetic distance, while the data in the lower left corner of the table represented a genetic similarity coefficient.
PopulationBred Variety (Bv)Introduced Variety (Iv)Local Variety (Lv)
Bred variety (Bv)0.8840.898
Introduced variety (Iv)0.1230.927
Local variety (Lv)0.1070.076
Table 5. Chewing cane germplasm resources with private alleles.
Table 5. Chewing cane germplasm resources with private alleles.
Chewing CanePopulationNo. of Private AllelePrivate Allele
Black CheribonIntroduced varieties (Iv)110HG-grade2
Datian XuezheLocal variety (Lv)110HG-grade2
Zhanjiang QingpiLocal variety (Lv)2Br-grade1, SucC-grade1
Binxian QingpiLocal variety (Lv)1GBCU-grade3
Guiguozhe No.1Introduced varieties (Iv)1GBCU-grade3
Haikou HongpiLocal variety (Lv)1GBCU-grade3
TuojianghongLocal variety (Lv)1GBCU-grade3
Hekou lvpiLocal variety (Lv)2GBCU-grade3, 10HG-grade2
Xiangnan 74-9Bred variety (Bv)1IF-grade5
Fuguo No.1Introduced variety (Iv)2IF-grade5, Pit-grade2
Kaiyuan Hongpi 1Local variety (Lv)1IN-grade2
KacaiIntroduced variety (Iv)1IN-grade3
Neijiang 15-2Bred variety (Bv)1IN-grade4
Waigandan No.1Local variety (Lv)1IN-grade4
Yuanhong 33Bred variety (Bv)1IN-grade4
BadilaIntroduced variety (Iv)1PH-grade1
Hainan 17-102Bred variety (Bv)1PH-grade1
AohongIntroduced variety (Iv)3PH-grade1, IN-grade1, LC-grade3
GengmazheLocal variety (Lv)1PH-grade6
Xiantao GuozheLocal variety (Lv)1PH-grade6
WenshanzheLocal variety (Lv)3PH-grade6, Br-grade2, SucC-grade2
QiantuoLocal variety (Lv)3PH-grade6, IN-grade4, Pit-grade2
LipuLocal variety (Lv)2PH-grade6, Pit-grade2
Binchuang XiaozheLocal variety (Lv)1Pit-grade2
Huangshan GuozheLocal variety (Lv)1Pit-grade2
Oi DangLocal variety (Lv)1Pit-grade2
Taining GuozheLocal variety (Lv)1Pit-grade2
Taoshan GuozheLocal variety (Lv)1Pit-grade2
Jianyang GuozheLocal variety (Lv)3SD-grade10, WpP-grade10, CY-grade10
Shangrao QingpiLocal variety (Lv)1SL-grade1
Shengxian GuozheLocal variety (Lv)1SL-grade1
Caoba HongpiLocal variety (Lv)1SL-grade10
Pingyang GuozheLocal variety (Lv)2SL-grade10, IN-grade4
Jiangyong GuozheLocal variety (Lv)1SL-grade2
Nonglin No.8Bred variety (Bv)1SL-grade9
Taitang 97-5569Bred variety (Bv)3WpP-grade8, CY-grade8, IN-grade4
Mao 2Introduced variety (Iv)2WpP-grade9, CY-grade9
Yiwu No.25Bred variety (Bv)110HG-grade2
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Xie, J.; Liu, Z.; Chang, H.; Zhang, C.; Liang, Q.; Wang, Z.; Cheng, Y.; Wang, Q.; Wu, J. Genetic Diversity Evaluation of 70 Chewing Cane Germplasm Resources Based on Phenotypic Traits. Plants 2025, 14, 3111. https://doi.org/10.3390/plants14193111

AMA Style

Xie J, Liu Z, Chang H, Zhang C, Liang Q, Wang Z, Cheng Y, Wang Q, Wu J. Genetic Diversity Evaluation of 70 Chewing Cane Germplasm Resources Based on Phenotypic Traits. Plants. 2025; 14(19):3111. https://doi.org/10.3390/plants14193111

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Xie, Jing, Zhuang Liu, Hailong Chang, Chuiming Zhang, Qinggan Liang, Zhuqing Wang, Yinjie Cheng, Qinnan Wang, and Jiantao Wu. 2025. "Genetic Diversity Evaluation of 70 Chewing Cane Germplasm Resources Based on Phenotypic Traits" Plants 14, no. 19: 3111. https://doi.org/10.3390/plants14193111

APA Style

Xie, J., Liu, Z., Chang, H., Zhang, C., Liang, Q., Wang, Z., Cheng, Y., Wang, Q., & Wu, J. (2025). Genetic Diversity Evaluation of 70 Chewing Cane Germplasm Resources Based on Phenotypic Traits. Plants, 14(19), 3111. https://doi.org/10.3390/plants14193111

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