不同品种荷花耐盐碱性评价及鉴定指标筛选

doi:10.3969/j.issn.1004-1524.2023.01.11

浙江农业学报 ›› 2023, Vol. 35 ›› Issue (1): 103-111.DOI: 10.3969/j.issn.1004-1524.2023.01.11

不同品种荷花耐盐碱性评价及鉴定指标筛选

刘艺平¹^,²(), 张一琪¹, 苏少文¹, 刘红利¹^,², 贺丹¹^,², 孔德政¹^,²^,^*()

1.河南农业大学风景园林与艺术学院,河南郑州 450000
2.河南省优质花卉蔬菜种苗工程研究中心,河南郑州 450000

收稿日期:2021-08-05 出版日期:2023-01-25 发布日期:2023-02-21
通讯作者: *孔德政,E-mail: Kdz217@163.com
作者简介:刘艺平(1997—),女,河南温县人,博士,副教授,研究方向为风景园林植物资源应用。E-mail:Lyp_163@163.com
基金资助:
河南省高等学校重点研究项目(21A220003);国家自然科学基金(31600568);河南农业大学科技创新基金(KJCX2017C01)

Evaluation of salt-alkali tolerance of different lotus varieties and screening of identification indexes

LIU Yiping¹^,²(), ZHANG Yiqi¹, SU Shaowen¹, LIU Hongli¹^,², HE Dan¹^,², KONG Dezheng¹^,²^,^*()

1. College of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou 450000, China
2. Henan Provincial Engineering Research Center of High-Quality Flowers and Vegetables Seedling, Zhengzhou 450000, China

Received:2021-08-05 Online:2023-01-25 Published:2023-02-21

摘要/Abstract

摘要：

为研究不同荷花(Nelumbo nucifera)品种在混合盐碱胁迫下的耐受程度,筛选抗性品种,采用盆栽法,以20个荷花品种为试验材料,对其进行100 mmol·L^-1(NaCl∶NaHCO₃=2∶1)混合盐碱胁迫处理,7 d后测量株高、叶面积、光合色素、叶绿素荧光参数、丙二醛含量、抗氧化物酶活性及渗透调节物质含量,通过耐盐碱系数、相关性分析、主成分分析、隶属函数法、聚类分析等方法对20种荷花耐盐碱性进行综合评价。结果表明:不同荷花品种单项指标的耐盐碱系数变异系数差异较大,除超氧化物歧化酶活性和过氧化物酶活性外,其余单项指标的耐盐碱系数均存在显著或极显著相关性,利用主成分分析将12个单项指标转换为5个综合指标,各综合指标贡献率分别为36.175%、18.709%、13.470%、11.379%、6.610%,累计贡献率达到86.344%。以耐盐碱性综合评价值(D值)为依据进行聚类分析,将20个荷花品种分为4类,第一类为强耐盐碱型,共计4个荷花品种,第二类为耐盐碱型,共计5个荷花品种,第三类为不耐盐碱型,共计8个荷花品种,第四类为敏感型,共计3个荷花品种。通过逐步回归分析建立荷花的耐盐碱性最优评价模型,D=0.453+0.148X₁+0.122X₂-0.122X₇-0.033X₈+0.093X₁₁+0.037X₁₂(R²=0.992),估计精度95.45%以上,并筛选出株高、叶面积、丙二醛含量、脯氨酸含量、可溶性糖含量和可溶性蛋白含量为荷花耐盐碱性评价指标,可以在相同的条件下,通过测定这6项指标,确定荷花的耐盐碱性强弱。

关键词: 荷花, 盐碱胁迫, 耐盐碱性, 综合评价, 鉴定指标

Abstract:

In order to study the tolerance of different lotus varieties to saline-alkali stress and to screen resistant varieties, using pot culture method, 20 lotus varieties were used as experimental materials, and 100 mmol·L^-1 (NaCl∶NaHCO₃=2∶1) hybrid saline-alkali stress treatment, 7 d after measuring the plant height, leaf area, photosynthetic pigments, chlorophyll fluorescence parameters, content of malondialdehyde, activity of antioxidant enzyme and content of osmotic regulatory substances, the saline-alkali tolerance of 20 lotus species was evaluated comprehensively by means of saline-alkali tolerance coefficient, correlation analysis, principal component analysis, membership function method and cluster analysis. The results showed that there were significant differences in the variation coefficients of saline-alkali tolerance among different lotus varieties. Except superoxide dismutase activity and peroxidase activity, the saline-alkali coefficients of other single indexes were significantly or extremely significantly correlated. The 12 single indexes were converted into 5 comprehensive indexes by using principal component analysis. The contribution rates of each comprehensive index were 36.175%, 18.709%, 13.470%, 11.379%, 6.610%, and the cumulative contribution rate reached 86.344%. With saline resistance value (D value) based on clustering analysis, 20 lotus varieties could be divided into four categories, first, there was strong salt-tolerant type, a total of four lotus varieties, and the second category of salt-tolerant type, a total of five lotus varieties, and the third category was not salt-tolerant type, a total of eight lotus varieties, the fourth category for sensitive type, a total of three varieties of lotus. The optimal evaluation model of salinity and alkali tolerance of lotus was established by stepwise regression analysis, D=0.453+0.148X₁+0.122X₂-0.122X₇-0.033X₈+0.093X₁₁+0.037X₁₂(R²=0.992), and the estimation accuracy was above 95.45%. Plant height, leaf area, malondialdehyde, proline, soluble sugar and soluble protein were selected as evaluation indexes of the saline-alkali tolerance of lotus. The saline-alkali tolerance of lotus could be determined by measuring these 5 indexes under the same conditions.

Key words: Nelumbo nucifera, saline-alkali stress, saline-alkali resistance, comprehensive evaluation, appraisal indicators

中图分类号:

S682.32

刘艺平, 张一琪, 苏少文, 刘红利, 贺丹, 孔德政. 不同品种荷花耐盐碱性评价及鉴定指标筛选[J]. 浙江农业学报, 2023, 35(1): 103-111.

LIU Yiping, ZHANG Yiqi, SU Shaowen, LIU Hongli, HE Dan, KONG Dezheng. Evaluation of salt-alkali tolerance of different lotus varieties and screening of identification indexes[J]. Acta Agriculturae Zhejiangensis, 2023, 35(1): 103-111.

图/表 7

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编号 No.	名称 Name	编号 No.	名称 Name
Ne1	红牡丹Hongmudan	Ne11	牡丹莲Mudanlian
Ne2	披针红Pizhenhong	Ne12	高风亮节Gaofengliangjie
Ne3	黄菊花Huangjuhua	Ne13	瑰丽Guili
Ne4	紫光阁Ziguangge	Ne14	红思莲Hongsilian
Ne5	云雾仙子Yunwuxianzi	Ne15	金陵女神Jinlingnvshen
Ne6	鹤顶红Hedinghong	Ne16	友谊牡丹Youyimudan
Ne7	千瓣莲Qianbanlian	Ne17	统帅Tongshuai
Ne8	心血Xinxue	Ne18	墨红一号Mohong No.1
Ne9	黄帅Huangshuai	Ne19	火炬Huoju
Ne10	金秋Jinqiu	Ne20	台湾磨盘莲Taiwanmopanlian

编号 No.	名称 Name	编号 No.	名称 Name
Ne1	红牡丹Hongmudan	Ne11	牡丹莲Mudanlian
Ne2	披针红Pizhenhong	Ne12	高风亮节Gaofengliangjie
Ne3	黄菊花Huangjuhua	Ne13	瑰丽Guili
Ne4	紫光阁Ziguangge	Ne14	红思莲Hongsilian
Ne5	云雾仙子Yunwuxianzi	Ne15	金陵女神Jinlingnvshen
Ne6	鹤顶红Hedinghong	Ne16	友谊牡丹Youyimudan
Ne7	千瓣莲Qianbanlian	Ne17	统帅Tongshuai
Ne8	心血Xinxue	Ne18	墨红一号Mohong No.1
Ne9	黄帅Huangshuai	Ne19	火炬Huoju
Ne10	金秋Jinqiu	Ne20	台湾磨盘莲Taiwanmopanlian

品种Variety	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀	X₁₁	X₁₂	X₁₃	X₁₄
Ne1	0.612	0.552	0.864	0.791	0.810	1.092	1.097	3.460	1.689	1.659	1.215	2.194	0.961	0.949
Ne2	0.574	0.761	0.891	0.838	0.860	1.063	1.249	8.164	0.948	1.000	0.919	1.164	0.976	0.896
Ne3	0.830	0.912	0.969	0.908	0.940	1.068	1.073	7.539	1.309	1.333	1.520	1.092	0.981	0.958
Ne4	0.720	0.876	0.960	0.908	0.927	1.057	1.180	8.402	1.247	1.667	1.401	1.267	0.999	1.035
Ne5	0.712	0.745	1.018	1.041	1.027	0.978	1.031	6.990	1.385	1.125	1.169	1.174	0.955	1.255
Ne6	0.570	0.456	0.794	0.842	0.814	0.943	1.406	5.416	1.415	1.143	1.084	1.345	1.044	1.066
Ne7	0.523	0.623	1.054	0.740	0.890	1.423	1.011	4.227	1.819	1.455	2.145	1.067	0.962	0.855
Ne8	0.412	0.538	0.726	0.782	0.754	0.929	1.209	6.413	1.317	1.400	1.365	1.085	0.970	0.895
Ne9	0.810	0.822	0.908	0.961	0.942	0.946	1.232	1.301	1.526	1.750	2.304	1.525	0.988	0.955
Ne10	0.623	0.581	0.894	0.946	0.912	0.945	1.156	5.315	1.064	1.500	1.257	1.078	0.984	0.953
Ne11	0.730	0.456	0.860	0.802	0.827	1.072	1.423	1.916	1.195	2.125	1.047	1.464	1.002	0.996
Ne12	0.760	0.736	0.884	0.836	0.855	1.058	1.205	6.274	1.129	1.086	1.418	1.115	0.986	0.955
Ne13	0.542	0.714	1.086	1.049	1.066	1.035	1.245	1.142	1.228	1.949	1.959	1.061	0.984	0.958
Ne14	0.410	0.512	0.777	0.794	0.786	0.979	1.250	1.922	1.144	1.210	1.228	1.335	1.028	1.110
Ne15	0.790	0.890	0.984	0.917	0.958	1.073	1.042	2.731	1.226	1.113	2.919	2.075	0.992	1.015
Ne16	0.680	0.712	0.875	0.746	0.808	1.172	1.108	2.915	1.189	1.750	1.492	1.114	0.888	0.941
Ne17	0.590	0.576	0.989	0.775	0.882	1.276	0.798	1.112	1.355	0.952	1.404	1.586	0.969	1.020
Ne18	0.516	0.812	0.756	0.659	0.704	1.147	1.285	6.586	1.071	1.083	1.317	1.368	0.874	0.761
Ne19	0.691	0.791	0.694	0.595	0.639	1.166	1.539	4.919	1.121	1.111	0.981	1.232	0.845	0.869
Ne20	0.450	0.401	0.730	0.638	0.701	1.143	1.194	9.435	1.045	1.033	1.028	1.002	0.974	0.904
平均值Mean	0.627	0.673	0.886	0.828	0.855	1.078	1.187	4.809	1.271	1.372	1.459	1.317	0.968	0.967
标准差	0.129	0.157	0.113	0.123	0.109	0.122	0.163	2.641	0.217	0.344	0.506	0.325	0.048	0.104
Standard deviation
变异系数	20.53	23.32	12.80	14.87	12.72	11.31	13.77	54.91	17.11	25.08	34.68	24.69	4.98	10.72
Coefficient of variation/%

品种Variety	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀	X₁₁	X₁₂	X₁₃	X₁₄
Ne1	0.612	0.552	0.864	0.791	0.810	1.092	1.097	3.460	1.689	1.659	1.215	2.194	0.961	0.949
Ne2	0.574	0.761	0.891	0.838	0.860	1.063	1.249	8.164	0.948	1.000	0.919	1.164	0.976	0.896
Ne3	0.830	0.912	0.969	0.908	0.940	1.068	1.073	7.539	1.309	1.333	1.520	1.092	0.981	0.958
Ne4	0.720	0.876	0.960	0.908	0.927	1.057	1.180	8.402	1.247	1.667	1.401	1.267	0.999	1.035
Ne5	0.712	0.745	1.018	1.041	1.027	0.978	1.031	6.990	1.385	1.125	1.169	1.174	0.955	1.255
Ne6	0.570	0.456	0.794	0.842	0.814	0.943	1.406	5.416	1.415	1.143	1.084	1.345	1.044	1.066
Ne7	0.523	0.623	1.054	0.740	0.890	1.423	1.011	4.227	1.819	1.455	2.145	1.067	0.962	0.855
Ne8	0.412	0.538	0.726	0.782	0.754	0.929	1.209	6.413	1.317	1.400	1.365	1.085	0.970	0.895
Ne9	0.810	0.822	0.908	0.961	0.942	0.946	1.232	1.301	1.526	1.750	2.304	1.525	0.988	0.955
Ne10	0.623	0.581	0.894	0.946	0.912	0.945	1.156	5.315	1.064	1.500	1.257	1.078	0.984	0.953
Ne11	0.730	0.456	0.860	0.802	0.827	1.072	1.423	1.916	1.195	2.125	1.047	1.464	1.002	0.996
Ne12	0.760	0.736	0.884	0.836	0.855	1.058	1.205	6.274	1.129	1.086	1.418	1.115	0.986	0.955
Ne13	0.542	0.714	1.086	1.049	1.066	1.035	1.245	1.142	1.228	1.949	1.959	1.061	0.984	0.958
Ne14	0.410	0.512	0.777	0.794	0.786	0.979	1.250	1.922	1.144	1.210	1.228	1.335	1.028	1.110
Ne15	0.790	0.890	0.984	0.917	0.958	1.073	1.042	2.731	1.226	1.113	2.919	2.075	0.992	1.015
Ne16	0.680	0.712	0.875	0.746	0.808	1.172	1.108	2.915	1.189	1.750	1.492	1.114	0.888	0.941
Ne17	0.590	0.576	0.989	0.775	0.882	1.276	0.798	1.112	1.355	0.952	1.404	1.586	0.969	1.020
Ne18	0.516	0.812	0.756	0.659	0.704	1.147	1.285	6.586	1.071	1.083	1.317	1.368	0.874	0.761
Ne19	0.691	0.791	0.694	0.595	0.639	1.166	1.539	4.919	1.121	1.111	0.981	1.232	0.845	0.869
Ne20	0.450	0.401	0.730	0.638	0.701	1.143	1.194	9.435	1.045	1.033	1.028	1.002	0.974	0.904
平均值Mean	0.627	0.673	0.886	0.828	0.855	1.078	1.187	4.809	1.271	1.372	1.459	1.317	0.968	0.967
标准差	0.129	0.157	0.113	0.123	0.109	0.122	0.163	2.641	0.217	0.344	0.506	0.325	0.048	0.104
Standard deviation
变异系数	20.53	23.32	12.80	14.87	12.72	11.31	13.77	54.91	17.11	25.08	34.68	24.69	4.98	10.72
Coefficient of variation/%

指标	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀	X₁₁	X₁₂	X₁₃	X₁₄
Index
X₁	1.00
X₂	0.63^**	1.00
X₃	0.38	0.38	1.00
X₄	0.40	0.31	0.70^**	1.00
X₅	0.42	0.37	0.91^**	0.93^**	1.00
X₆	-0.09	0.02	0.23	-0.53^*	-0.19	1.00
X₇	-0.06	-0.12	-0.62^**	-0.26	-0.48^*	-0.36	1.00
X₈	-0.08	0.12	-0.27	-0.17	-0.23	-0.09	0.10	1.00
X₉	0.08	-0.08	0.39	0.14	0.27	0.28	-0.37	-0.32	1.00
X₁₀	0.21	-0.06	0.27	0.32	0.31	-0.13	0.17	-0.44	0.27	1.00
X₁₁	0.33	0.45^*	0.548^*	0.38	0.52^*	0.14	-0.38	-0.44	0.38	0.19	1.00
X₁₂	0.25	0.05	0.06	0.03	0.04	0.00	-0.18	-0.45^*	0.34	0.05	0.33	1.00
X₁₃	-0.03	-0.33	0.27	0.53^*	0.45^*	-0.44	-0.12	-0.09	0.15	0.12	0.13	0.10	1.00
X₁₄	0.22	-0.09	0.33	0.59^**	0.51^*	-0.42	-0.23	-0.14	0.12	-0.02	-0.04	0.13	0.52^*	1.00

不同品种荷花耐盐碱性评价及鉴定指标筛选

Evaluation of salt-alkali tolerance of different lotus varieties and screening of identification indexes

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Metrics

本文评价

主成分Principle factor		CI₁	CI₂	CI₃	CI₄	CI₅
特征值Eigenvalue		4.341	2.245	1.616	1.366	0.793
贡献率Contribution rate/%		36.175	18.709	13.470	11.379	6.610
累计贡献率Cumulative contribution rate/%		36.175	54.884	68.354	79.734	86.344
特征向量Eigenvector	X₁	0.125	0.112	0.293	0.284	0.348
	X₂	0.098	0.228	0.409	0.114	0.015
	X₃	0.200	0.110	-0.038	-0.251	-0.061
	X₄	0.204	-0.154	0.120	-0.021	-0.175
	X₅	0.220	-0.031	0.048	-0.145	-0.145
	X₆	-0.043	0.344	-0.196	-0.273	0.150
	X₇	-0.120	-0.145	0.216	0.347	-0.444
	X₈	-0.079	-0.074	0.378	-0.321	0.359
	X₁₁	0.146	0.208	-0.096	0.139	-0.464
	X₁₂	0.059	0.084	-0.271	0.485	0.472
	X₁₃	0.107	-0.293	-0.182	-0.044	-0.115
	X₁₄	0.128	-0.252	-0.057	0.001	0.533

品种 Cultivar	CI₁	CI₂	CI₃	CI₄	CI₅	u(X₁)	u(X₂)	u(X₃)	u(X₄)	u(X₅)	D值 D value	综合评价 Comprehensive valuation
Ne1	0.723	0.019	0.896	0.049	1.701	0.607	0.571	0.254	0.792	0.543	0.564	Ⅱ
Ne2	0.268	-0.463	3.102	-1.945	2.913	0.214	0.120	0.917	0.164	0.889	0.349	Ⅳ
Ne3	0.524	-0.229	2.930	-1.701	2.550	0.435	0.339	0.865	0.241	0.785	0.483	Ⅲ
Ne4	0.426	-0.368	3.191	-1.902	2.951	0.351	0.209	0.944	0.178	0.900	0.432	Ⅲ
Ne5	0.590	-0.416	2.646	-1.603	2.638	0.492	0.165	0.780	0.272	0.810	0.461	Ⅲ
Ne6	0.475	-0.417	1.910	-0.873	1.936	0.393	0.164	0.559	0.502	0.610	0.400	Ⅲ
Ne7	0.757	0.242	1.317	-0.811	1.007	0.636	0.780	0.381	0.521	0.345	0.590	Ⅱ
Ne8	0.366	-0.361	2.293	-1.350	2.013	0.299	0.216	0.674	0.352	0.632	0.372	Ⅳ
Ne9	1.130	0.327	0.403	0.707	0.045	0.957	0.859	0.106	1.000	0.070	0.741	Ⅰ
Ne10	0.583	-0.287	1.971	-1.043	1.733	0.487	0.285	0.577	0.448	0.552	0.457	Ⅲ
Ne11	0.760	-0.053	0.589	0.305	0.788	0.639	0.504	0.162	0.873	0.282	0.538	Ⅱ
Ne12	0.519	-0.222	2.383	-1.254	2.094	0.431	0.346	0.701	0.382	0.655	0.465	Ⅲ
Ne13	1.096	0.205	0.374	0.313	-0.201	0.929	0.745	0.098	0.876	0	0.681	Ⅰ
Ne14	0.758	-0.099	0.507	0.172	0.667	0.637	0.460	0.138	0.831	0.248	0.517	Ⅱ
Ne15	1.179	0.479	0.679	0.481	0.663	1.000	1.000	0.189	0.929	0.247	0.806	Ⅰ
Ne16	0.746	0.127	1.036	-0.241	0.912	0.626	0.672	0.296	0.701	0.318	0.571	Ⅱ
Ne17	0.975	0.284	0.049	0.335	0.658	0.824	0.819	0.000	0.883	0.245	0.657	Ⅰ
Ne18	0.326	-0.136	2.410	-1.241	2.237	0.264	0.426	0.709	0.386	0.696	0.418	Ⅲ
Ne19	0.360	-0.123	1.933	-0.660	1.765	0.294	0.438	0.566	0.569	0.561	0.424	Ⅲ
Ne20	0.019	-0.592	3.379	-2.466	3.302	0	0	1.000	0	1.000	0.233	Ⅳ
权重	0.418	0.217	0.156	0.132	0.077
Index weight

品种 Variety	原始值 Original value	回归值 Regression	拟合误差 Fitting error	估计精度 Evaluation accuracy/%
Ne1	0.564	0.557	0.006	98.85
Ne2	0.349	0.338	0.011	96.77
Ne3	0.483	0.489	-0.006	98.68
Ne4	0.432	0.422	0.010	97.77
Ne5	0.461	0.445	0.016	96.43
Ne6	0.400	0.393	0.007	98.23
Ne7	0.590	0.582	0.007	98.75
Ne8	0.372	0.388	-0.015	96.01
Ne9	0.741	0.751	-0.010	98.67
Ne10	0.457	0.456	0.001	99.88
Ne11	0.538	0.531	0.007	98.67
Ne12	0.465	0.474	-0.009	98.08
Ne13	0.681	0.652	0.028	95.83
Ne14	0.517	0.524	-0.007	98.64
Ne15	0.806	0.810	-0.004	99.56
Ne16	0.571	0.589	-0.018	96.91
Ne17	0.657	0.666	-0.008	98.74
Ne18	0.418	0.427	-0.009	97.81
Ne19	0.424	0.439	-0.014	96.79
Ne20	0.233	0.244	-0.011	95.45

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