Core collection construction of Ningxia tomato germplasm resources based on phenotypic traits

doi:10.3785/j.issn.1008-9209.2020.08.141

Journal of Zhejiang University (Agriculture and Life Sciences)

2021, Vol. 47

Issue (2): 171-181 DOI: 10.3785/j.issn.1008-9209.2020.08.141

Horticulture

Core collection construction of Ningxia tomato germplasm resources based on phenotypic traits

Fushun ZHENG¹(

),Xiaomin WANG^1,^2,^3,⁴(

),Guohua LI¹,Honglei LI¹,Pengze ZHOU¹,Lin WANG¹,Shengyi BAI¹,Peijun LIU¹,Xueyan ZHANG^1,^2,⁴(

),Xinhua HU⁵,Jinjun FU⁵,Yanming GAO^1,^2,^3,⁴,Jianshe LI^1,^2,^3,⁴

^1.School of Agriculture, Ningxia University, Yinchuan 750021, China
^2.Ningxia Modern Facility Horticulture Engineering and Technology Research Center, Yinchuan 750021, China
^3.Key Laboratory of Modern Molecular Breeding for Dominant and Special Crops in Ningxia, Yinchuan 750021, China
^4.Ningxia Facility Horticulture Technology Innovation Center (Ningxia University), Yinchuan 750021, China
^5.Ningxia Jufeng Seedlings Limited Liability Company, Yinchuan 750021, China

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Abstract

In order to solve the problems of large quantity of tomato germplasm resources, high conservation difficulty, heavy renewal burden and low breeding efficiency for fine varieties in Ningxia region, the genetic diversity of 20 phenotypic traits for 480 tomato germplasm resources was analyzed by correlation analysis, principal component analysis and cluster analysis. Euclidean distance and unweighted pair-group method with arithmetic means (UPGMA) were used, and then the methods of random sampling, preferential sampling and deviation sampling were separately used to construct core collections according to 10% sampling ratio, and the representation of core collections was evaluated. The results showed that the 480 tomato germplasms had rich genetic diversity and could be divided into six groups when the Euclidean distance was 1.25. Three groups of core collections R1, P1 and D1 were successfully constructed, among which R1 and D1 separately constructed by random sampling method and deviation sampling method were consistent with the construction principle of core collection, and all the three groups of core collections had good heterogeneity, and P1 constructed by preferential sampling method obtained greater genetic variation. In a word, the core collections of tomato germplasm resources constructed in Ningxia provide scientific methods for the conservation of tomato germplasm resources and breeding of new varieties, and also provide theoretical references for the related research of germplasm resources.

Key words： Ningxia tomato germplasm resources phenotypic traits core collections

Received: 14 August 2020 Published: 25 April 2021

CLC:

S 641.2

Corresponding Authors: Xiaomin WANG,Xueyan ZHANG E-mail: 1172892128@qq.com;wangxiaomin_1981@163.com;zhangxueyan123@sina.com

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	Fushun ZHENG
	Xiaomin WANG
	Guohua LI
	Honglei LI
	Pengze ZHOU
	Lin WANG
	Shengyi BAI
	Peijun LIU
	Xueyan ZHANG
	Xinhua HU
	Jinjun FU
	Yanming GAO
	Jianshe LI

Cite this article:

Fushun ZHENG,Xiaomin WANG,Guohua LI,Honglei LI,Pengze ZHOU,Lin WANG,Shengyi BAI,Peijun LIU,Xueyan ZHANG,Xinhua HU,Jinjun FU,Yanming GAO,Jianshe LI. Core collection construction of Ningxia tomato germplasm resources based on phenotypic traits. Journal of Zhejiang University (Agriculture and Life Sciences), 2021, 47(2): 171-181.

URL:

http://www.zjujournals.com/agr/10.3785/j.issn.1008-9209.2020.08.141 OR http://www.zjujournals.com/agr/Y2021/V47/I2/171

基于表型性状的宁夏番茄种质资源核心种质构建

为解决宁夏地区番茄种质资源数量多、保存难度高、更新负担大、优良品种选育效率低等问题，本研究通过对480份番茄种质资源的20个表型性状进行田间调查，采用相关性分析、主成分分析、聚类分析进行遗传多样性分析；利用欧氏距离和不加权类平均法，分别选用随机取样法、优先取样法和偏离度取样法，按10%取样比例分别构建核心种质，并对其进行代表性评价。结果表明：该480份番茄种质资源具有丰富的遗传多样性，在欧式距离为1.25时，分为6大类群；成功构建出3组核心种质R1、P1和D1，其中，分别通过随机取样法和偏离度取样法构建的R1和D1符合核心种质的构建原则；3组核心种质均具有良好的异质性，且通过优先取样法构建的P1获得了更大的遗传变异。本研究构建的宁夏地区番茄核心种质，可为该地区番茄种质资源的保存和新品种选育提供科学方法，也可为该种质资源的相关研究提供理论参考。

关键词： 宁夏, 番茄, 种质资源, 表型性状, 核心种质

Table 1 Genetic diversity analysis of qualitative traits of 480 tomato germplasm resources

Table 2 Genetic diversity analysis of quantitative traits of 480 tomato germplasm resources

Table 3 Correlation analysis of quantitative traits of 480 tomato germplasm resources

Table 4 Principal component analysis of phenotypic traits of 480 tomato germplasm resources

Fig. 1 Cluster analysis of 480 tomato germplasm resources

Table 5 Information table of each core collection material

Table 6 Percentage difference between core collection and initial population

性状 Trait	参量 Parameter	原群体 Initial population	R1	P1	D1
成熟果色 Color of mature fruit	均值 Mean	6.49	6.52	6.69	6.58
	方差 Variance	0.65	0.94^*	1.41^**	0.93^*
	变异系数 CV/%	12.43	14.83	17.76	14.65
单果质量 Mass per fruit	均值 Mean/g	151.61	146.45	101.92^**	150.22
	方差 Variance	3 688.79	5 015.91	6 529.86^**	5 096.99
	变异系数 CV/%	40.06	48.36	79.29	47.53
果梗洼大小 Size of corky area around pedicel scar	均值 Mean/mm	27.26	25.75	20.68^**	27.00
	方差 Variance	55.83	75.96	101.68^**	72.73
	变异系数 CV/%	27.41	33.84	48.77	31.59
果梗洼木栓化大小 Suberification size of pedicel scar	均值 Mean/mm	11.96	11.62	9.41^**	11.87
	方差 Variance	10.94	13.52	19.12^**	14.07
	变异系数 CV/%	27.64	34.65	46.48	31.60
商品果纵径 Longitudinal diameter of fruit	均值 Mean/mm	55.91	53.51	47.91^**	55.23
	方差 Variance	117.06	148.74	247.69^**	165.73^*
	变异系数 CV/%	19.35	22.79	32.85	23.31
商品果横径 Transverse diameter of fruit	均值 Mean/mm	64.02	61.34	52.47^**	64.18
	方差 Variance	223.59	242.99	465.78^**	325.25^*
	变异系数 CV/%	23.36	25.41	41.14	28.10
硬度 Hardness	均值 Mean/(kg/cm²)	3.07	3.09	2.94	3.10
	方差 Variance	0.30	0.34	0.48^*	0.55^**
	变异系数 CV/%	17.93	18.96	23.56	23.91
可溶性固形物含量 Soluble solid content	均值 Mean/%	6.23	6.47	6.94^*	6.34
	方差 Variance	2.03	2.69	4.10^**	3.11^*
	变异系数 CV/%	22.87	25.36	29.19	27.80
心室数 Number of locules	均值 Mean	4.65	4.52	3.71^**	4.67
	方差 Variance	1.65	1.74	2.59^**	2.27
	变异系数 CV/%	27.61	29.23	43.43	32.25
果肉厚 Flesh thickness	均值 Mean/mm	7.05	6.83	5.83^**	7.02
	方差 Variance	2.42	2.89	3.92^**	3.13
	变异系数 CV/%	22.05	24.91	33.97	25.20
首花序节位 Leaf node below the first inflorescence	均值 Mean	7.05	6.98	6.96	6.92
	方差 Variance	1.10	1.47	1.62^*	1.91^**
	变异系数 CV/%	14.87	17.35	18.27	19.96
单花序果数 Number of fruit per inflorescence	均值 Mean	6.38	6.46	9.23^**	6.54
	方差 Variance	12.70	13.49	28.82^**	17.62
	变异系数 CV/%	55.85	56.86	58.17	64.17
花序类型 Inflorescence type	均值 Mean	2.17	2.18	2.26^**	2.17
	方差 Variance	0.02	0.02	0.04^**	0.03^*
	变异系数 CV/%	6.31	6.09	8.39	7.46
叶片着生状态 Leaf state	均值 Mean	2.47	2.46	2.46	2.50
	方差 Variance	0.25	0.25	0.25	0.26
	变异系数 CV/%	20.20	20.49	20.48	20.20
叶色 Leaf color	均值 Mean	2.49	2.50	2.54	2.50
	方差 Variance	0.27	0.30	0.34	0.34
	变异系数 CV/%	20.92	21.84	22.90	23.32
绿肩 Green shoulder	均值 Mean	0.16	0.17	0.25	0.17
	方差 Variance	0.14	0.14	0.19^*	0.14
	变异系数 CV/%	229.38	221.76	175.04	221.76
生长势 Growth potential	均值 Mean	4.34	4.31	4.10^*	4.21
	方差 Variance	0.59	0.77	0.73	0.81
	变异系数 CV/%	17.74	20.39	20.87	21.33
裂果性 Fruit cracking	均值 Mean	0.15	0.15	0.17	0.21
	方差 Variance	0.13	0.13	0.14	0.17
	变异系数CV/%	239.33	238.00	225.97	195.24
畸形果率 Percentage of abnormal fruit	均值 Mean	1.02	1.48	1.41	2.18
	方差 Variance	14.65	24.95^**	23.32^**	40.82^**
	变异系数 CV/%	376.10	337.30	343.27	293.07
坐果性 Fruit setting	均值 Mean	2.81	2.92	3.31^**	2.71
	方差 Variance	0.77	0.89	0.99	0.93
	变异系数 CV/%	31.25	32.26	29.97	35.68

Table 7 Difference comparisons between core collection and initial population


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