Phenological Characteristics of Lagerstroemia indica Germplasm Resources in Wuhan

doi:10.11924/j.issn.1000-6850.casb2023-0144

Abstract

Abstract:

187 Lagerstroemia indica materials were investigated for phenological characteristics such as germination, leaf expansion, flowering, and defoliation, and their phenological laws were analyzed and evaluated comprehensively to provide theoretical basis and data support for the evaluation of the phenological characteristics of L. indica germplasm resources. The results showed that the coefficient of variation of 12 phenological periods ranged from 8.55% to 52.01%, and the order of variation from large to small was: leaf bud germination stage> defoliation stage> leaf expansion stage> defoliation stage> budding stage> late defoliation stage> leaf expansion stage> flowering stage> flowering stage> flowering stage> young fruit emergence stage> fruit maturity stage. There were 42 pairs of phenological periods with extremely significant positive correlation, 6 pairs of phenological periods with significant correlation, and the other 18 pairs of phenological periods with no significant correlation. In the principal component analysis, the contribution rates of the first three principal components were 36.320%, 23.282% and 17.704% respectively, and the cumulative contribution rate reached 77.305%. The results showed that there were large differences and more significant correlations between the various phenological periods of L. indica, and the first three principal components were representative in the principal component analysis, which provided a scientific basis for the development, cultivation, protection and evaluation of L. indica germplasm in the region.

Key words: Lagerstroemia indica, phenology, genetic diversity, correlation analysis, principal component analysis

WANG Zhiyi, LI Zhenfang, PENG Chan, CHEN Ying, ZHANG Xinye. Phenological Characteristics of Lagerstroemia indica Germplasm Resources in Wuhan[J]. Chinese Agricultural Science Bulletin, 2024, 40(13): 96-101.

Figures/Tables 4

References 21

[1]	方文培, 张泽荣. 中国植物志[M]. 北京: 科学出版社,1983:92-111.
[2]	梁建, 刘世晗, 刘桢, 等. 紫薇属植物组织培养技术研究进展[J]. 北方园艺, 2021(23):142-149.
[3]	黄瑞芳, 施士争, 王红玲, 等. 9个紫薇品种在沭阳的引种栽培试验[J]. 江苏林业科技, 2017, 44(6):23-26.
[4]	乔中全, 曾慧杰, 李永欣, 等. 紫薇新品种‘丹霞’[J]. 园艺学报, 2019, 46(10):2069-2070. doi: 10.16420/j.issn.0513-353x.2018-0592
[5]	杨如同, 王鹏, 王淑安, 等. 紫薇新品种‘紫金’[J]. 园艺学报, 2019, 46(2):401-402. doi: 10.16420/j.issn.0513-353x.2018-0874
[6]	HONG S, WANG J, WANG Q, et al. Decoding the formation of diverse petal colors of Lagerstroemia indica by integrating the data from transcriptome and metabolome[J]. Frontiers in plant science, 2022,13:970023.
[7]	YE S, WANG F, NI D, et al. Physiological response of Lagerstroemia indica (L. ) Pers. seedlings to drought and rewatering[J]. Tropical plant biology, 2021, 14(4).
[8]	WANG J, DAI X, CHEN Y, et al. Genomic sequencing using 454 pyrosequencing and development of an SSR primer database for Lagerstroemia indica L.[J]. Plant omics,2015:7.
[9]	乔东亚, 王鹏, 王淑安, 等. 基于SNP标记的紫薇遗传多样性分析[J]. 南京林业大学学报(自然科学版), 2020, 44(4):21-28.
[10]	冷嘉文, 乔中全, 唐丽, 等. 基于SSR分子标记的紫薇遗传多样性分析[J]. 湖南生态科学学报, 2021, 8(4):1-7.
[11]	王芝懿, 李振芳, 彭婵, 等. 基于SSR标记的紫薇核心种质构建及取样策略对比[J]. 分子植物育种, 2023.
[12]	张波, 戴国礼, 秦垦, 等. 42份枸杞种质资源的物候特征[J]. 经济林研究, 2021, 39(1):85-96.
[13]	杨杉, 樊孝萍, 苏晓华, 等. 南方型美洲黑杨种质资源物候期特征[J]. 东北林业大学学报, 2017, 45(7):7-11,17.
[14]	王力荣, 方伟超, 朱更瑞. 桃(Prunus persica)种质资源物候期性状遗传多样性的评价指标探讨[J]. 植物遗传资源学报, 2006, 7(2):144-147.
[15]	黄国伟, 樊孝萍, 龙开莲, 等. 美洲黑杨种质资源生长和物候性状分析[J]. 西南林业大学学报(自然科学), 2020, 40(2):29-35.
[16]	张志红, 童华彪, 徐康, 等. 湿地松1.5代种子园无性系开花物候期的观测[J]. 南方林业科学, 2022, 50(2):1-4,18.
[17]	黄发新, 宋晓波, 陈凌娜, 等. 核桃物候期与叶、果表型可塑性研究[J]. 中国农学通报, 2022, 38(31):49-54. doi: 10.11924/j.issn.1000-6850.casb2021-1039
[18]	黎榕, 宋倩, 刘小平, 等. 赣南地区引种美国紫薇试验[J]. 天津农业科学, 2018, 24(2):66-68,90.
[19]	陈发军, 杨银华, 柳继荛, 等. 川南城市园林中紫薇开花物候变化特征及其影响因素[J]. 生态学杂志, 2017, 36(7):1841-1846.
[20]	申潇潇, 周小娟, 刘杰. 11个紫薇品种在郑州地区引种适应性分析[J]. 农业科技通讯, 2022(1):158-161.
[21]	陈有民. 园林树木学[M]. 北京: 中国林业出版社,2006:135-142.

物候指标	最大值/d	最小值/d	极差/d	众数/d	平均值/d	标准差	变异系数/%	变异系数平均值/%
X₁	51	0	51	13	10.50	5.46	52.01	36.04
X₂	54	6	48	18	16.05	5.55	34.61
X₃	57	13	44	27	23.49	5.05	21.51
X₄	75	5	70	29	33.18	8.81	26.54	16.22
X₅	83	26	57	41	47.18	8.61	18.24
X₆	99	47	52	47	55.87	9.37	16.77
X₇	130	65	65	75	81.88	13.53	16.52
X₈	112	47	65	68	71.40	7.64	10.70
X₉	184	110	74	138	140.93	12.05	8.55
X₁₀	80	0	80	48	39.57	18.37	46.42	33.60
X₁₁	87	6	81	62	53.45	16.50	30.87
X₁₂	101	22	79	80	68.39	16.09	23.52

物候指标	最大值/d	最小值/d	极差/d	众数/d	平均值/d	标准差	变异系数/%	变异系数平均值/%
X₁	51	0	51	13	10.50	5.46	52.01	36.04
X₂	54	6	48	18	16.05	5.55	34.61
X₃	57	13	44	27	23.49	5.05	21.51
X₄	75	5	70	29	33.18	8.81	26.54	16.22
X₅	83	26	57	41	47.18	8.61	18.24
X₆	99	47	52	47	55.87	9.37	16.77
X₇	130	65	65	75	81.88	13.53	16.52
X₈	112	47	65	68	71.40	7.64	10.70
X₉	184	110	74	138	140.93	12.05	8.55
X₁₀	80	0	80	48	39.57	18.37	46.42	33.60
X₁₁	87	6	81	62	53.45	16.50	30.87
X₁₂	101	22	79	80	68.39	16.09	23.52

物候指标	最大值	最小值	众数	平均数
X₂-X₁	15	2	5	5.55
X₃-X₂	17	2	4	7.44
X₅-X₄	34	4	12	14.00
X₆-X₅	27	2	6	8.69
X₇-X₆	79	3	28	26.01
X₇-X₅	85	7	24	34.70
X₉-X₈	98	38	70	69.53
X₁₁-X₁₀	39	3	8	13.88
X₁₂-X₁₁	47	3	7	14.94
X₁₂-X₁₀	74	7	32	28.82

物候指标	最大值	最小值	众数	平均数
X₂-X₁	15	2	5	5.55
X₃-X₂	17	2	4	7.44
X₅-X₄	34	4	12	14.00
X₆-X₅	27	2	6	8.69
X₇-X₆	79	3	28	26.01
X₇-X₅	85	7	24	34.70
X₉-X₈	98	38	70	69.53
X₁₁-X₁₀	39	3	8	13.88
X₁₂-X₁₁	47	3	7	14.94
X₁₂-X₁₀	74	7	32	28.82

	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀	X₁₁	X₁₂
X₁	1.000
X₂	0.966^**	1.000
X₃	0.819^**	0.846^**	1.000
X₄	0.216^**	0.241^**	0.261^**	1.000
X₅	0.220^**	0.259^**	0.222^**	0.856^**	1.000
X₆	0.291^**	0.317^**	0.298^**	0.791^**	0.856^**	1.000
X₇	-0.112	-0.099	-0.108	0.285^**	0.206^**	0.204^**	1.000
X₈	0.159^**	0.180^*	0.125	0.601^**	0.622^**	0.648^**	0.430^**	1.000
X₉	0.039	0.053	0.022	0.215^**	0.232^**	0.223^**	0.467^**	0.455^**	1.000
X₁₀	0.156^*	0.149^*	0.099	0.093	0.103	0.214^**	0.247^**	0.165^*	0.383^**	1.000
X₁₁	0.083	0.070	0.004	0.087	0.122	0.202^**	0.277^**	0.154^*	0.388^**	0.869^**	1.000
X₁₂	0.045	0.030	-0.016	0.170^*	0.201^**	0.249^**	0.275^**	0.241^**	0.422^**	0.759^**	0.857^**	1.000