芍药耐热性评价及其鉴定指标筛选

doi:10.3864/j.issn.0578-1752.2023.23.015

Abstract

Abstract:

【Objective】 The multivariate statistical analysis method was used to evaluate the heat-tolerance of different herbaceous peony (Paeonia lactiflora Pall.) varieties, to screen the heat-tolerance identification indexes of peony, and finally to establish a more comprehensive and reliable heat-tolerance evaluation system of peony. 【Method】 In this study, 140 peony varieties were used as materials, and field experiments were used to measure 8 morphological and structural indexes, including heat damage index, plant height, crown width, and SPAD value; at the same time, 13 physiological indexes, such as malondialdehyde and relative electrical conductivity, were measured in August after high-temperature stress in summer. Correlation analysis, subordination function method, principal component analysis, cluster analysis and stepwise regression analysis were used to comprehensively evaluate the peony heat-tolerance and to screen the identification indexes of heat-tolerance. 【Result】 There were different degrees of variation among the 21 indicators, and the variation coefficient ranged from 6.66% to 78.02%. The variation coefficient was shown as follows: Catalase (CAT)>POD>Pn>qN>SOD>stomatal density>barrier tissue thickness/sponge tissue thickness>SSC>SPC>heat damage index>SPAD>Y(Ⅱ)>b>MDA>Y(NO)>crown width>leaf thickness>plant height>REC>Fv/Fm>Hue angle (H), among which, CATwas the largest coefficient of variation, and H was the smallest coefficient of variation; through the correlation analysis of each index, it was found that X₁ (heat damage index) and X₂ (plant height), X₃ (crown width), X₄ (SPAD), X₇ (Fv/Fm), X₁₂ (leaf thickness), X₁₇ (SSC ) were extremely significantly negatively correlated, which were significantly negatively correlated with X₆ (Pn), X₈ [Y(Ⅱ)], X₁₃ (stomatal density), X₂₀ (CAT), while they were extremely significantly positively correlated with X₅ (REC), X₉ [Y(NO)], X₁₆ (MDA) and X₁₈ (SPC). There were different degrees of correlation among the indicators, which was relatively complicated; 21 indicators were extracted into 7 principal component factors through the principal component analysis method, and the contribution rates were 20.50%, 11.66%, 8.24%, 7.24%, 7.06%, 5.31%, and 4.85%, respectively, while the cumulative contribution rate reached 64.87%; the comprehensive score (W) of 140 peony varieties were calculated by the membership function analysis method. On this basis, cluster analysis was used to classify the peony cultivars into four types of heat resistance: “excellent” “good” “medium” and “poor”. The “excellent” type accounted for 14.3%, “good” type accounted for 26.4%, “medium” type accounted for 46.4%, and “poor” type accounted for 12.9%; the stepwise regression analysis was further used to establish the optimal linear regression equation: W=0.228-0.166X₁+0.002X₄+0.325X₇-0.257X₉+0.112X₁₀+0.00028X₁₃+0.002X₁₇+0.00015X₁₉+0.001X₂₀, and 9 indicators were selected from 21 indicators (heat damage index), including X₁(heat damage index), X₄ (SPAD), X₇ (Fv/Fm), X₉ [Y(NO)], X₁₀ (qN), X₁₃ (pore density), X₁₇ (SSC), X₁₉ (SOD), and X₂₀ (CAT), which were used as identification peony indicators of heat-resistance. 【Conclusion】 By using multivariate statistical analysis method to evaluate the heat resistance of peony, 140 peony varieties were divided into 4 categories (excellent, good, medium, and poor). 9 indexes including heat damage index and SPAD value were screened as identification indexes of heat-resistance of peony, to quickly evaluate the heat-resistant ability of peony, thereby significantly improving the efficiency of heat-resistant identification of peony.

Key words: herbaceous peony, heat-tolerance, principal component analysis, subordination function methods, comprehensive evaluation system

HOU ZhaoYu, GONG YiZhao, QIAN Yi, CHENG ZhuoYa, TAO Jun, ZHAO DaQiu. Evaluation of Heat Tolerance of Herbaceous Peony and Screening of Its Identification Indices[J].Scientia Agricultura Sinica, 2023, 56(23): 4742-4756.

Figures/Tables 10

Table 1

Number of herbaceous peony cultivars for test"

编号 Number	品种 Cultivar	编号 Number	品种 Cultivar	编号 Number	品种 Variety	编号 Number	品种 Cultivar	编号 Number	品种 Cultivar
SY1	胜桃花 Sheng Taohua	SY29	雨润奇花 Yurun Qihua	SY57	红玫瑰 Hong Meigui	SY85	玛瑙绣球 Manao Xiuqiu	SY113	粉绫娇艳 Fenling Jiaoyan
SY2	种生粉 Zhongsheng Fen	SY30	玉楼红星 Yulou Hongxing	SY58	红盘彩球 Hongpan Caiqiu	SY86	墨楼金辉 Molou Jinhui	SY114	粉楼 Fen Lou
SY3	紫兰系金 Zilan Xijin	SY31	赵园粉 Zhaoyuan Fen	SY59	红线绣玉 Hongxian Xiuyu	SY87	墨蕴 Mo Yun	SY115	粉楼插翠 Fenlou Chacui
SY4	墨紫含金 Mozi Hanjin	SY32	赵园红 Zhaoyuan Hong	SY60	红绣针 Hong Xiuzhen	SY88	墨紫冠芳 Mozi Guanfang	SY116	粉楼殿春 Fenlou Dianchun
SY5	杨妃出浴 Yangfei Chuyu	SY33	朱砂点玉 Zhusha Dianyu	SY61	红艳遇霜 Hongyan Yushuang	SY89	墨紫含金 Mozi Hanjin	SY117	粉盘金辉 Fenpan Jinhui
SY6	粉珠盘 Fenzhu Pan	SY34	珠光 Zhu Guang	SY62	红银针 Hong Yinzhen	SY90	墨紫绫 Mozi Ling	SY118	粉盘盛宴 Fenpan Shengyan
SY7	向阳奇花 Xiangyang Qihua	SY35	烛光粉玉 Zhuguang Fenyu	SY63	红羽球 Hong Yuqiu	SY91	鸟巢 Niao Chao	SY119	粉银针 Fen Yinzhen
SY8	红峰 Hong Feng	SY36	紫光霞佩 Ziguangxiapei	SY64	湖水荡霞 Hushui Dangyang	SY92	盘托金沙 Pantuo Jinsha	SY120	粉银妆 Fen Yinzhuang
SY9	巧玲 Qiao Ling	SY37	紫红剪绒 Zihong Jianrong	SY65	皇冠粉 Huangguan Fen	SY93	奇花落羽 Qihua Luoyu	SY121	粉羽球 Fen Yuqiu
SY10	双红楼 Shuanghong Lou	SY38	紫红争辉Zihong Zhenghui	SY66	黄金丝 Huangjin Si	SY94	奇丽 Qi Li	SY122	粉玉珑 Fen Yulong
SY11	桃花飞雪 Taohua Feixue	SY39	紫兰魁 Zilan Kui	SY67	黄玉簪 Huang Yuzan	SY95	珊瑚多姿 Shanhu Duozi	SY123	粉玉楼 Fenyu Lou
SY12	桃花系金 Taohua Xijin	SY40	紫莲望月 Zilian Wangyue	SY68	江山如画 Jiangshan Ruhua	SY96	少女装 Shaonü Zhuang	SY124	粉云仙 Fenyun Xian
SY13	桃花争春 Taohua Zhengchun	SY41	紫绫藏金 Ziling Cangjin	SY69	金凤羽 Jinfeng Yu	SY97	胜美菊 Sheng Meiju	SY125	粉紫露金 Fenzi Lujin
SY14	桃李艳妆 Taoli Yanzhuang	SY42	紫绫金星 Ziling Jinxing	SY70	金辉 Jin Hui	SY98	胜桃花 Sheng Taohua	SY126	佛光珠影 Foguang Zhuying
SY15	晚妆粉 Wanzhuang Fen	SY43	紫楼 Zi Lou	SY71	金莲献羽 Jinlian Xianyu	SY99	奇花露霜 Qihua Lushaung	SY127	高杆红 Gaogan Hong
SY16	万代生色 Wandai Shengse	SY44	紫楼显金 Zilou Xiangjin	SY72	金星灿烂 Jinxing Canlan	SY100	莲台 Lian Tai	SY128	高莲台 Gao Liantai
SY17	乌龙集盛 Wulong Jisheng	SY45	紫盘托金 Zipan Tuojin	SY73	金玉兰盘 Jinyu Lanpan	SY101	碧天晴空 Bitian Qingkong	SY129	海棠系金 Haitang Xijin
SY18	乌龙探海 Wulong Tanhai	SY46	紫袍 Zi Pao	SY74	金簪刺红绫 Jinzan Cihongling	SY102	长凤羽 Chang Fengyu	SY130	红凤羽 Hong Fengyu
SY19	夕霞映雪 Xixia Yingxue	SY47	紫袍金带 Zipao Jindai	SY75	锦红缎 Jinhong Duan	SY103	迟粉 Chi Fen	SY131	红绫 Hong Ling
SY20	西施粉 Xishi Fen	SY48	紫绒系腰 Zirong Xiyao	SY76	锦玲飘香 Jinling Piaoxiang	SY104	大地露霜 Dadi Lushaung	SY132	红绫翠玉 Hongling Cuiyu
SY21	雪峰 Xue Feng	SY49	紫檀镶玉 Zitan Xiangyu	SY77	兰翠球 Lan Cuiqiu	SY105	大红楼 Da Honglou	SY133	红楼 Hong Lou
SY22	雪山红梅 Xueshan Hongmei	SY50	紫托绒花 Zituo Ronghua	SY78	兰玉环翠 Lanyu Huancui	SY106	东海朝阳 Donghai Chaoyang	SY134	红楼锦菊 Honglou Jinju
SY23	雪山紫玉 Xueshan Ziyu	SY51	紫艳 Zi Yan	SY79	兰玉交辉 Lanyu Jiaohui	SY107	多叶紫 Duoye Zi	SY135	红楼飘香 Honglou Piaoxiang
SY24	雪原红花 Xueyuan Honghua	SY52	紫艳飞霜 Ziyan Feishuang	SY80	兰重楼 Lan Chonglou	SY108	粉池滴脂 Fenchi Dizhi	SY136	红楼显贵 Honglou Xiangui
SY25	艳紫向阳 Yanzi Xiangyang	SY53	紫羽球 Ziyu Qiu	SY81	蓝玉藏金 Lanyu Cangjin	SY109	粉翠楼 Fen Cuilou	SY137	粉绫红花 Fenling Honghua
SY26	银边红阁 Yinbian Hongge	SY54	凌花晨浴 Linghua Chenyu	SY82	恋蝶 Lian Die	SY110	粉兰楼 Fen Lanlou	SY138	红茶花 Hong Chahua
SY27	英雄花 Yingxiong Hua	SY55	冰山 Bing Shan	SY83	玲珑玉 Linglong Yu	SY111	粉兰绣球 FenlanXiuqiu	SY139	晴雯 Qing Wen
SY28	永生红 Yongsheng Hong	SY56	艳阳天 Yanyang Tian	SY84	凌花露霜 Linghua Lushuang	SY112	粉蓝魁 Fenlan Kui	SY140	烈火金刚 Liehuo Jingang

Table 1

Table 2

Fig. 1

Table 3

Table 4

Fig. 2

Table 5

Table 6

Fig. 3

Fig. 4

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编号 Number	指标 Index	最大值 Max	最小值 Min	均值 Mean±SD	变异系数 CV (%)
X₁	热害指数 Heat damage index	0.84	0.20	0.45±0.13	28.12
X₂	株高 Plant height (cm)	100.30	37.00	70.87±10.70	15.08
X₃	冠幅 Crown breadth (cm)	129.10	41.90	86.80±15.03	17.31
X₄	叶绿素相对含量 SPAD	44.50	11.30	29.03±6.69	23.06
X₅	相对电导率 REC (%)	58.39	27.73	41.06±5.91	14.39
X₆	净光合速率 Pn (μmol CO₂·m^-2·s^-1)	36.20	0.33	9.38±6.49	69.18
X₇	有效光化学量子产量 Fv/Fm	0.84	0.27	0.73±0.07	9.76
X₈	实际光合效率 Y(Ⅱ)	0.73	0.18	0.54±0.12	22.48
X₉	非调节性能量耗散 Y(NO)	0.65	0.25	0.33±0.07	20.01
X₁₀	非光化学猝灭系数 qN	0.69	0.12	0.33±0.04	42.81
X₁₁	栅栏/海绵组织 Barrier tissue thickness/sponge tissue thickness	1.43	0.24	0.72±0.23	32.12
X₁₂	叶片厚度 Leaf thickness (μm)	402.41	190.54	293.72±47.03	16.01
X₁₃	气孔密度 Stomatal density (pcs∙mm^-2)	333.87	64.72	166.80±52.56	31.51
X₁₄	色相 b	44.00	11.40	28.08±5.80	20.4
X₁₅	色度角 H	124.70	58.80	105.59±7.03	6.66
X₁₆	丙二醛含量 MDA (nmol∙g^-1)	78.95	23.44	54.41±11.19	20.56
X₁₇	可溶性糖含量 SSC (mg∙g^-1)	33.33	3.03	18.41±5.82	31.60
X₁₈	可溶性蛋白含量 SPC (mg∙g^-1)	12.86	2.49	7.01±2.08	29.73
X₁₉	超氧化物歧化酶活性 SOD (U∙g^-1)	422.97	39.56	245.00±80.17	32.72
X₂₀	过氧化氢酶活性 CAT (nmol∙min^-1∙g^-1)	207.41	4.57	41.33±32.24	78.02
X₂₁	过氧化物酶活性 POD (U∙g^-1)	571.79	37.26	129.15±91.05	70.50

编号 Number	特征向量 Power vector
编号 Number	C₁	C₂	C₃	C₄	C₅	C₆	C₇
X₁	-0.682	-0.492	0.012	0.165	0.048	-0.066	0.121
X₂	0.281	0.253	-0.565	0.241	0.490	0.017	-0.087
X₃	0.563	0.194	-0.241	0.218	0.252	0.152	-0.198
X₄	0.633	0.378	-0.163	0.058	-0.276	0.046	0.106
X₅	-0.475	-0.035	-0.368	0.193	0.361	0.035	0.295
X₆	0.421	-0.151	0.019	0.145	-0.350	-0.327	-0.346
X₇	0.706	-0.179	0.287	0.077	0.238	0.218	0.300
X₈	0.670	-0.612	0.151	-0.105	0.239	-0.105	0.026
X₉	-0.707	0.246	-0.356	-0.163	-0.169	-0.147	-0.244
X₁₀	-0.276	0.678	0.089	0.264	-0.227	0.244	0.145
X₁₁	0.167	-0.276	0.143	0.298	-0.112	0.047	0.218
X₁₂	0.279	0.231	0.072	-0.441	-0.053	-0.076	0.447
X₁₃	-0.115	0.654	0.137	0.221	0.077	0.045	0.209
X₁₄	-0.394	0.240	0.547	-0.243	0.420	0.080	-0.137
X₁₅	0.455	-0.069	-0.281	0.398	-0.387	-0.118	0.143
X₁₆	-0.533	-0.469	-0.126	0.330	0.059	0.209	-0.062
X₁₇	0.331	0.023	-0.108	-0.303	0.028	0.550	-0.341
X₁₈	-0.405	-0.203	0.254	0.367	-0.176	0.286	0.064
X₁₉	0.023	0.075	0.467	0.146	-0.346	0.213	-0.197
X₂₀	0.278	0.150	0.288	0.508	0.307	-0.015	-0.262
X₂₁	-0.032	0.318	0.369	0.220	0.234	-0.577	-0.069
特征值 Eigenvectors	4.31	2.45	1.73	1.52	1.48	1.12	1.02
贡献率 Contribution rate	20.50	11.66	8.24	7.24	7.06	5.31	4.85
累计贡献 Accumulative contribution rate	20.50	32.16	40.41	47.65	54.71	60.02	64.87

	评价值 W	预测值 PV
评价值 W	1	0.925**
预测值 PV	0.925**	1

Evaluation of Heat Tolerance of Herbaceous Peony and Screening of Its Identification Indices

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编号 Number	W	编号 Number	W	编号 Number	W	编号 Number	W	编号 Number	W
SY1	0.65	SY29	0.54	SY57	0.59	SY85	0.49	SY113	0.50
SY2	0.68	SY30	0.52	SY58	0.58	SY86	0.65	SY114	0.62
SY3	0.63	SY31	0.40	SY59	0.59	SY87	0.68	SY115	0.50
SY4	0.65	SY32	0.41	SY60	0.61	SY88	0.54	SY116	0.40
SY5	0.71	SY33	0.60	SY61	0.55	SY89	0.58	SY117	0.45
SY6	0.72	SY34	0.55	SY62	0.59	SY90	0.55	SY118	0.56
SY7	0.71	SY35	0.67	SY63	0.55	SY91	0.56	SY119	0.59
SY8	0.66	SY36	0.54	SY64	0.30	SY92	0.49	SY120	0.53
SY9	0.63	SY37	0.59	SY65	0.64	SY93	0.62	SY121	0.48
SY10	0.59	SY38	0.53	SY66	0.61	SY94	0.57	SY122	0.45
SY11	0.64	SY39	0.59	SY67	0.54	SY95	0.52	SY123	0.50
SY12	0.72	SY40	0.54	SY68	0.57	SY96	0.62	SY124	0.56
SY13	0.65	SY41	0.52	SY69	0.60	SY97	0.46	SY125	0.42
SY14	0.55	SY42	0.50	SY70	0.61	SY98	0.58	SY126	0.63
SY15	0.58	SY43	0.47	SY71	0.57	SY99	0.48	SY127	0.55
SY16	0.52	SY44	0.53	SY72	0.57	SY100	0.63	SY128	0.59
SY17	0.56	SY45	0.55	SY73	0.56	SY101	0.77	SY129	0.35
SY18	0.54	SY46	0.58	SY74	0.56	SY102	0.50	SY130	0.67
SY19	0.52	SY47	0.56	SY75	0.59	SY103	0.58	SY131	0.32
SY20	0.57	SY48	0.54	SY76	0.55	SY104	0.58	SY132	0.53
SY21	0.54	SY49	0.53	SY77	0.55	SY105	0.55	SY133	0.68
SY22	0.55	SY50	0.52	SY78	0.52	SY106	0.54	SY134	0.52
SY23	0.61	SY51	0.63	SY79	0.52	SY107	0.44	SY135	0.40
SY24	0.63	SY52	0.58	SY80	0.50	SY108	0.67	SY136	0.31
SY25	0.59	SY53	0.63	SY81	0.64	SY109	0.62	SY137	0.56
SY26	0.47	SY54	0.51	SY82	0.67	SY110	0.62	SY138	0.48
SY27	0.60	SY55	0.59	SY83	0.61	SY111	0.53	SY139	0.54
SY28	0.54	SY56	0.57	SY84	0.55	SY112	0.54	SY140	0.55

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