Phenotypic Diversity Analysis of Guangxi Cinnamomum cassia Leaves and Screening for Excellent Germplasm

LONGLibing, LIANGWei, YUGuo, QINZhenghao, HUANGRongshao, YAOShaochang

Chin Agric Sci Bull ›› 2025, Vol. 41 ›› Issue (34) : 63-73.

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Chin Agric Sci Bull ›› 2025, Vol. 41 ›› Issue (34) : 63-73. DOI: 10.11924/j.issn.1000-6850.casb2025-0436

Phenotypic Diversity Analysis of Guangxi Cinnamomum cassia Leaves and Screening for Excellent Germplasm

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Abstract

Cinnamon leaves are the primary source of Cinnamomum cassia essential oil. However, the lack of specialized leaf-oriented cultivars currently hinders the high-quality development of the cinnamon industry. To explore the diversity of leaf phenotypic traits and volatile oil content among different germplasms, and to screen elite leaf-use cultivars with high oil yields, this study was conducted using 300 accessions of 3-year-old F1 progeny seedlings from Guangxi. Twelve phenotypic traits (nine quantitative and three qualitative) were systematically measured, and multivariate statistical analysis was employed to decipher the phenotypic diversity and identify superior germplasm. The results are as follows. (1) The volatile oil content in the leaves of 300 cinnamon accessions ranged from 0.15% to 1.56%, with an average of 0.62%. Accession PN2 exhibited the highest content (1.56%). (2) The genetic diversity of quantitative traits was significantly higher than that of qualitative traits. For the nine quantitative traits, the coefficient of variation (CV) ranged from 9.54% to 48.11% (with branch height showing the highest CV), and the diversity index (H’) ranged from 1.968 to 2.729 (with leaf volatile oil content recording the highest H’). In contrast, the three qualitative traits exhibited a CV of 12.61% to 30.88% and an H’ of 0.085 to 0.678. The genetic diversity index of nine quantitative traits was much higher than that of three qualitative traits. (3) Correlation analysis revealed that the leaf volatile oil content was significantly and positively correlated with plant height, branch height, leaf length, leaf width, and leaf drying rate (P<0.01), and significantly positively correlated with crown width (P<0.05). In contrast, a highly significant negative correlation was observed with leaf thickness (P<0.01). (4) Principal component analysis (PCA) yielded eight principal components, which collectively accounted for 86.706% of the total variance, thereby capturing the majority of the genetic information in the cinnamon germplasm. Plant height, crown width, and leaf length were identified as the key contributing factors. (5) Cluster analysis categorized the 300 germplasm accessions into 3 distinct groups. Group I (53 accessions) demonstrated the best overall performance, with a mean volatile oil content of 0.70% and a comprehensive score of 0.53. Based on a combined evaluation of these scores and oil content, 9 excellent accessions (PN5, PN11, PN18, PN20, etc.) were selected from this group, with volatile oil contents ranging from 0.885% to 1.305% and comprehensive scores between 0.563 and 0.691. This study provides high-quality germplasm resources and a theoretical foundation for breeding leaf-use cinnamon varieties.

Key words

cinnamon / leaf-use varieties / phenotypic traits / volatile oil content / excellent germplasm / correlation analysis / principal component analysis / cluster analysis

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LONG Libing , LIANG Wei , YU Guo , et al . Phenotypic Diversity Analysis of Guangxi Cinnamomum cassia Leaves and Screening for Excellent Germplasm[J]. Chinese Agricultural Science Bulletin. 2025, 41(34): 63-73 https://doi.org/10.11924/j.issn.1000-6850.casb2025-0436

References

[1]
国家药典委员会. 中华人民共和国药典(一部)[M]. 北京: 中国医药科技出版社,2020:191.
[2]
梁晓静, 安家成, 黎贵卿, 等. 肉桂特色资源加工利用产业发展现状[J]. 生物质化学工程, 2020, 54(6):18-24.
肉桂是我国特色经济林树种,我国肉桂种植面积和年产量均居世界首位。我国肉桂主要分布在两广地区,其中广西为14.9万hm<sup>2</sup>,广东为8.9万hm<sup>2</sup>,两地面积占全国肉桂分布总面积的95%以上。肉桂既是著名的香料又是传统的名贵中药,具有极高的经济价值,发展肉桂产业对于促进农民增收、维护健康中国有着重要的意义。本研究综述了肉桂资源量、分布情况及主要利用部位,介绍肉桂主要产品(如桂皮,桂枝,肉桂粉及肉桂油)及加工技术现状、产品质量控制及其分析检测方法,分析了产业未来的发展趋势,并提出了产业发展的对策和措施:加强肉桂标准化示范基地建设,提高优质资源供给能力;提高肉桂加工利用技术水平,延长产业链;培育肉桂龙头企业,提高产品市场竞争力。为我国肉桂特色资源加工利用产业的可持续发展提供一定的思路。
[3]
黄国林. 广西防城港市肉桂产业发展现状及对策研究[D]. 南宁: 广西大学, 2022.
[4]
张笮晦, 童永清, 黄广智, 等. 肉桂叶化学成分及药理作用研究进展[J]. 广州化工, 2019, 47(1):20-22.
[5]
张亚伦, 朱研洁, 代向阳, 等. 肉桂叶化学成分研究[J]. 天然产物研究与开发, 2024, 36(7):1142-1148.
[6]
李国良, 刘香萍. 肉桂叶精油/β-环糊精微胶囊的制备及缓释特性[J]. 林产化学与工业, 2021, 41(4):35-41.
[7]
楚超. 天然香辛料,增香又保健[N]. 保健时报,2025-02-06(008).
[8]
彭世异, 韦平让, 李荣. 贵港市肉桂产业发展现状及对策[J]. 南方农业, 2023, 17(20):180-182.
[9]
YANG M, YANG Z, YANG W, et al. Genetic diversity assessment of the international maize and wheat improvement center and Chinese wheat core germplasms by non-denaturing fluorescence in situ hybridization[J]. Plants (Basel), 2022, 11(11):1403.
[10]
刘进, 勒思, 周慧颖, 等. 江西省水稻地方品种资源的收集与鉴定评价[J]. 植物遗传资源学报, 2023, 24(5):1267-1276.
[11]
李淑芳, 李鹤南, 刘晓冬, 等. 205份玉米种质资源表型性状遗传多样性分析及优异种质筛选[J]. 玉米科学, 2023, 31(5):1-10.
[12]
孟珊, 徐婷婷, 朱小品, 等. 江苏大豆地方种质资源表型多样性分析[J]. 植物遗传资源学报, 2023, 24(2):419-436.
[13]
孙东雷, 卞能飞, 陈志德, 等. 花生种质资源表型性状的综合评价及指标筛选[J]. 植物遗传资源学报, 2018, 19(5):865-874.
分析花生种质资源表型性状的遗传变异规律,构建花生种质资源的综合评价体系,筛选最优的评价指标。本研究以40份花生种质资源的17个表型性状为研究对象,利用变异系数与Shannon-Weaver多样性指数对表型性状的遗传多样性进行分析,采用聚类分析、主成分分析以及逐步回归分析对花生种质资源进行了综合评价和鉴定指标的筛选。结果表明:17个表型性状的变异系数变化范围为4.15%-31.82%,油酸、亚油酸以及蔗糖含量的性状变异丰富,出仁率、粗脂肪及蛋白质的性状较稳定。多样性指数变化范围为1.39-2.06,主茎高、百仁重及蛋白质的性状分布比较均匀,油酸、亚油酸及棕榈酸的性状分级及分布较不均匀。聚类分析把40份花生种质资源分为了4个类群。主成分分析把17个表型性状归为5个主成分(累计贡献率80.41%,反映出17个表型性状的大部分信息),依次为花生籽粒含油量因子、籽粒含糖量因子及丰产性因子,以上因子可以较准确的评价花生种质。花生种质表型性状的综合评价由F值大小判定,F值均值为0.73,开农176的F值最高,阜花12号的F值最低。由逐步回归分析筛选出8个表型性状:单株鲜果重、百果重、出仁率、粗脂肪、蛋白质、棕榈酸、油酸和蔗糖含量。花生种质资源遗传多样性较丰富,综合评价F值可以为花生种质资源评价提供参考,筛选的8个表型性状可以作为花生种质资源性状评价指标。
[14]
田胜平, 汪阳东, 陈益存, 等. 山苍子天然种群叶片和种实性状的表型多样性[J]. 生态学杂志, 2012, 31(7):1665-1672.
[15]
齐季. 山胡椒果实生长发育规律及遗传多样性分析[D]. 北京: 北京林业大学, 2015.
[16]
王婧. 黄樟种源及家系的早期选择与遗传多样性研究[D]. 广州: 华南农业大学, 2018.
[17]
梁晓静, 李开祥, 梁文汇, 等. 不同品种肉桂叶表型性状分析[J]. 广西林业科学, 2016, 45(1):40-44.
[18]
梁文汇, 刘凯, 黄开顺, 等. 肉桂家系遗传背景的ISSR分析[J]. 广西林业科学, 2016, 45(1):35-39.
[19]
张笮晦, 钱信怡, 黄广智, 等. 不同生长环境和生长年限肉桂的出油率、挥发油成分及抑菌活性研究[J]. 中草药, 2019, 50(12):2990-2996.
[20]
张凡, 刘国涛, 杨春玲. 620份小麦种质资源农艺性状调查及其遗传多样性分析[J]. 山东农业科学, 2022, 54(3):15-21.
[21]
李清超, 陈小翠, 刘朝峰, 等. 辣椒种质资源表型性状多样性分析及综合评价[J]. 江苏农业科学, 2024, 52(14):141-148.
[22]
姚肖, 鲁黎明, 李依婷, 等. 不同类型烟草种质资源重要农艺及品质性状遗传多样性分析[J]. 中国烟草科学, 2024, 45(3):12-18.
[23]
路子峰, 苏峻冬, 徐麟, 等. 110份鹰嘴豆种质品质性状遗传多样性分析与综合评价[J]. 西北农业学报, 2024, 33(6):1041-1048.
[24]
徐泽俊, 齐玉军, 邢兴华, 等. 黄淮海大豆种质农艺与品质性状分析及综合评价[J]. 植物遗传资源学报, 2022, 23(2):468-480.
以 303 份黄淮海地区大豆种质资源为研究对象,利用变异系数和 Shannon-Weaver 多样性指数对 11 个农艺性状和2 个品质性状进行多样性分析,通过主成分、相关性以及逐步回归分析对大豆种质资源进行综合评价和评价指标筛选,为黄淮海大豆种质创新和品种选育提供参考。结果表明:13 个性状变异系数的变化范围为 5.52%~27.61%,生育日数、每荚粒数、蛋白含量、脂肪含量等 4 个性状较稳定,株高、单株粒数、单株荚数、单株粒重、百粒重等 5 个性状变异丰富;13 个性状多样性指数变化范围为 1.9906~2.0956。聚类分析将 303 份大豆种质资源分为 7 个类群,其中第Ⅴ类群综合性状最好,可作为黄淮海大豆育种的优质亲本。主成分分析将 13 个性状简化为 4 个主成分,累积贡献率为 75.051%,第 1 主成分与单株荚数、粒数有关;第 2 主成分与蛋白质、脂肪含量有关;第 3 主成分与籽粒大小有关;第 4 主成分与单株产量有关。303 份大豆种质资源综合评价 F 值均值为 0.549,ZDD04189 涟水天鹅蛋的 F 值最高(0.935),ZDD23089 晋品 42 的 F 值最低(0.207)。通过逐步回归分析得到生育日数、株高、单株粒数、单株粒重、蛋白质含量等 5 个表型性状,可以作为黄淮海大豆种质表型综合评价的主要指标。
[25]
施桂萍, 王佳恩, 马莉, 等. 药材品质与药用植物表型性状间相关性研究进展[J]. 中药材, 2024(7):1853-1861.
[26]
SUN C, ZHANG Z, LIU M, et al. Comparison of grain traits and genetic diversity between Chinese and Uruguayan soybeans (Glycine max L.)[J]. Frontiers in plant science, 2024, 15:14.
[27]
李艳, 马庆州, 姬东华, 等. 68份甜樱桃种质资源表型性状多样性分析及评价[J]. 陕西农业科学, 2024, 70(10):62-67.
[28]
ZHANG X, CHEN W, YANG Z, et al. Genetic diversity analysis and DNA fingerprint construction of zanthoxylum species based on SSR and iPBS markers[J]. BMC Plant biology, 2024, 24(1):843.
Zanthoxylum is a versatile economic tree species utilized for its spice, seasoning, oil, medicinal, and industrial raw material applications, and it has a lengthy history of cultivation and domestication in China. This has led to the development of numerous cultivars. However, the phenomenon of mixed cultivars and confusing names has significantly obstructed the effective utilization of Zanthoxylum resources and industrial development. Consequently, conducting genetic diversity studies and cultivar identification on Zanthoxylum are crucial. This research analyzed the genetic traits of 80 Zanthoxylum cultivars using simple sequence repeat (SSR) and inter-Primer Binding Site (iPBS) molecular markers, leading to the creation of a DNA fingerprint. This study identified 206 and 127 alleles with 32 SSR markers and 10 iPBS markers, respectively, yielding an average of 6.4 and 12.7 alleles (Na) per marker. The average polymorphism information content (PIC) for the SSR and iPBS markers was 0.710 and 0.281, respectively. The genetic similarity coefficients for the 80 Zanthoxylum accessions ranged from 0.0947 to 0.9868 and from 0.2206 to 1.0000, with mean values of 0.3864 and 0.5215, respectively, indicating substantial genetic diversity. Cluster analysis, corroborated by principal coordinate analysis (PCoA), categorized these accessions into three primary groups. Analysis of the genetic differentiation among the three Zanthoxylum (Z. bungeanum, Z. armatum, and Z. piperitum) populations using SSR markers revealed a mean genetic differentiation coefficient (Fst) of 0.335 and a gene flow (Nm) of 0.629, suggesting significant genetic divergence among the populations. Molecular variance analysis (AMOVA) indicated that 65% of the genetic variation occurred within individuals, while 35% occurred among populations. Bayesian model-based analysis of population genetic structure divided all materials into two groups. The combined PI and PIsibs value of the 32 SSR markers were 4.265 × 10 and 1.282 × 10, respectively, showing strong fingerprinting power. DNA fingerprints of the 80 cultivars were established using eight pairs of SSR primers, each assigned a unique numerical code. In summary, while both markers were effective at assessing the genetic diversity and relationships of Zanthoxylum species, SSR markers demonstrated superior polymorphism and cultivar discrimination compared to iPBS markers. These findings offer a scientific foundation for the conservation and sustainable use of Zanthoxylum species.© 2024. The Author(s).
[29]
XIN Y H, WU Y X, QIAO B, et al. Evaluation on the phenotypic diversity of calamansi (Citrus microcarpa) germplasm in Hainan island[J]. Scientific reports, 2022, 12(1):371.
Calamansi or Philippine lime (Citrofortunella macrocarpa) is an important crop for local economic in Hainan Island. There is no study about Calamansi germplasm evaluation and cultivar development. In this study, Calamansi data were collected from 151 of Calamansi seedling trees, and 37 phenotypic traits were analyzed to investigate their genetic diversities. The cluster analysis and principal component analysis were conducted aiming to provide a theoretical basis for the Calamansi genetic improvement. The results of the diversity analysis revealed: (1) the diversity indexes for qualitative traits were ranged from 0.46–1.39, and the traits with the highest genetic diversity level were fruit shaped and pulp colored (H′ &gt; 1.20); and the diversity indexes for quantitative traits ranged from 0.67–2.10, with the exception of a lower in fruit juice rate (1.08) and lower in number of petals (0.67). (2) The clustering analysis of phenotypic traits have arranged the samples into 4 categories: the first group characterized by fewer flesh Segment number per fruit (SNF) and more Oil cell number (OCN); the second group had 7 samples, all characterized with larger Crown breadth (CB), higher Yield per tree (YPT), the lager leaf, the higher Ascorbic acid (AA), and less Seed number per fruit (SNPF); the third group had 25 samples characterized by smaller Tree foot diameter (TFD),smaller Fruit shape index (FSI) and higher Total soluble solids (TSS) contain; the fourth group had 87 samples, they were characterized by shorter Petiole length (PEL), larger fruit, higher Juice ratio (JR), multiple Stamen number (SN) and longer Pistil length (PIL). (3) The principal component analysis showed the values of the first 9 major components characteristic vectors were all greater than 3, the cumulative contribution rate reach 72.20%, including the traits of single fruit weight, fruit diameter, tree height, tree canopy width etc. Finally, based on the comprehensive main component value of all samples, the Calamansi individuals with higher testing scores were selected for further observation. This study concludes that Calamansi seedling populations in the Hainan Island holds great genetic diversity in varies traits, and can be useful for the Calamansi variety improvements.
[30]
苏万龙, 赵爱玲, 王永康, 等. 枣果实质地性状多样性分析[J]. 植物遗传资源学报, 2024, 25(11):1830-1850.
[31]
罗小婷, 刘行发, 蔡长福, 等. 福建武平朱砂根种质资源表型性状遗传多样性分析[J]. 植物遗传资源学报, 2025, 26(2):296-308.
[32]
宋全昊, 金艳, 宋佳静, 等. 35份人工合成六倍体小麦的综合评价[J]. 作物杂志, 2022(4):69-76.
[33]
张映萍, 吉训志, 余少洪, 等. 云南怒江州不同地区草果种质资源农艺表型性状的遗传多样性分析[J]. 热带作物学报, 2024, 45(6):1157-1166.
为了探究不同地区草果种质资源农艺表型性状的遗传多样性。以云南怒江州不同地区的草果种质资源为材料,通过测定其8个农艺表型性状,运用变异系数、遗传多样性指数、方差分析、相关性分析、聚类分析、主成分分析与综合评价的方法分析草果农艺表型性状的遗传多样性。结果表明:各农艺表型性状均存在较大变异,变异系数为7.63%~ 32.51%,其中分蘖数的变异系数最大;各性状间表现出较好的多样性,shannon-wiener指数(Hʹ)范围为1.933~2.355,平均值为2.024;各农艺表型性状不同种质间存在显著差异(P&lt;0.05);果实纵径与果型指数、果重存在极显著的正相关关系,果实横径与果重存在极显著的正相关关系,果型指数与叶宽存在显著负相关关系;聚类分析将不同地区草果种质资源分为2个类群,其中来自福贡县与来自泸水市的草果种质资源各自聚成一类;从8个农艺表型性状中共提取出3个主成分,累计贡献率达到76.940%,能综合反映草果农艺表型性状的大部分信息;综合评价结果表明,SD12、SD20、SD7、SD17、SD18、SD5排在前6位,综合表现较好。上述结果说明,云南怒江州不同地区24份草果种质资源农艺表型性状的遗传多样性较为丰富,不同地区的草果种质资源变异性较明显,其中SD12、SD20、SD7、SD17、SD18、SD5草果的农艺表型性状综合表现较好,是较适合用于育种的优质种质资源。
[34]
胡标林, 万勇, 李霞, 等. 水稻核心种质表型性状遗传多样性分析及综合评价[J]. 作物学报, 2012, 38(5):829-839.
[35]
董胜君, 孙永强, 陈建华, 等. 野杏无性系表型性状多样性分析及综合评价[J]. 植物遗传资源学报, 2020, 21(5):1156-1166.
为深入研究野杏种质资源遗传多样性,筛选发掘和高效利用野杏资源,本研究采用聚类分析、相关分析、主成分 分析和逐步线性回归分析,对 54 个野杏无性系的 15 个定性描述性状和 25 个定量描述性状进行了研究。结果表明:54 个野 杏无性系变异程度高,类型多样,遗传多样性丰富。其中,25 个定量描述性状的变异系数均值为 18.19%,单果重的变异系数 最大(42.56%);定量描述性状的多样性指数(1.980)大于定性描述性状(0.761),核形指数的多样性指数最大(2.082)。聚 类分析将 54 个野杏无性系分为 5 个类群,类群Ⅰ可用于选育高出核率、高出仁率类型及特殊叶形的种质资源;类群Ⅱ可用于 选育特殊果实类型的种质;类群Ⅲ可作为培育特殊核、仁型品种的亲本材料;类群Ⅳ可用于选育大核、大仁、丰产类型的种 质;类群Ⅴ可作为核壳用资源。主成分分析表明前 7 个主成分能代表 25 个定量描述性状的大部分信息,累计贡献率达 83.31%。 野杏无性系表型性状的综合评价结果表明,甘肃会宁县的 270 号的综合得分最高(0.756)。结合逐步线性回归方法筛选出小 枝粗度、叶片长度、果长、单果重、核长、核宽、核厚、单核重、仁宽、仁形指数和出仁率可作为野杏无性系表型性状评价 的重要指标。
[36]
郜战宁, 杨永乾, 王树杰, 等. 143份大麦种质资源的综合评价[J]. 作物杂志, 2023(5):59-65.
[37]
侯献飞, 张云, 刘雨馨, 等. 基于主要农艺性状的686份红花种质资源遗传多样性分析[J]. 植物遗传资源学报, 2024, 25(9):1468-1479.
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