长江流域油后棉主要农艺性状的鉴定与优异种质筛选

doi:10.3785/j.issn.1008-9209.2019.11.291

浙江大学学报（农业与生命科学版）

2020, Vol. 46

Issue (5): 551-561 DOI: 10.3785/j.issn.1008-9209.2019.11.291

作物栽培与生理

长江流域油后棉主要农艺性状的鉴定与优异种质筛选

邓艳凤(

),肖水平,杨绍群,刘新稳,柯兴盛,王涛(

),杨秀(

)

江西省棉花研究所/国家棉花产业技术体系鄱阳湖综合试验站，江西九江 332105

Identification of main agronomic characteristics and screening of elite germplasm resources of the cotton after rape cultivation in the Yangzte River Basin

Yanfeng DENG(

),Shuiping XIAO,Shaoqun YANG,Xinwen LIU,Xingsheng KE,Tao WANG(

),Xiu YANG(

)

Cotton Research Institute of Jiangxi Province/Poyang Lake Comprehensive Test Station of National Cotton Industrial Technology System, Jiujiang 332105, Jiangxi, China

全文: PDF(1575 KB) HTML

摘要：

为扩大长江流域油后棉种质资源库，筛选出符合杂交亲本的优异种质，提高棉花育种效率，以引进的72份陆地棉材料为研究对象，应用统计软件SAS V8等对其11个主要农艺性状进行变异性、相关性、主成分和聚类分析。结果表明：72份陆地棉种质资源具有丰富的遗传多样性，材料间的性状变异系数在1.15%～30.31%之间，变幅较大，其中单株成铃数变异系数最大，为30.31%。相关性分析结果表明：生育期与株形性状均呈极显著正相关，株高与铃质量呈极显著正相关，单株果枝数与单株成铃数呈极显著正相关，且与铃质量呈显著负相关，衣分和铃质量均与部分品质性状呈显著负相关。主成分分析结果表明：前4个主成分累计贡献率达73.98%，包含了11个性状的绝大部分信息。聚类分析表明，72份参试种质可分为6类，其中第Ⅰ类群属于优质材料，第Ⅱ类群属于高产材料，第Ⅴ类群属于高产优质材料，育种中可加以重点应用。通过综合评价共筛选出优质材料2份，高产材料6份，在育种工作中可结合品质与产量性状之间的关系，利用优势亲本培育新品种。

关键词： 油后棉; 农艺性状; 种质资源; 鉴定; 筛选

Abstract:

In order to expand the germplasm resource bank of cotton after rape cultivation in the Yangtze River Basin, screen out excellent germplasm suitable for hybrid parents, and improve the efficiency of cotton breeding, 11 main agronomic traits of 72 upland cotton materials introduced were analyzed with the methods of variability, correlation analysis, principal component analysis and clustering analysis by statistical software SAS V8. The results showed that, the 72 Gossypium hirsutum germplasm resources had rich genetic diversity, and the variation coefficients of characters among 72 materials ranged from 1.15% to 30.31%. The variation coefficient of boll number per plant was the largest, was 30.31%. The correlation analysis showed that the growth period was significantly and positively correlated with plant type traits. The plant height was extremely significantly and positively correlated with the boll mass. The number of fruit branches per plant was extremely significantly and positively correlated with the boll number per plant, and significantly and negatively correlated with the boll mass. The lint percentage and boll mass were significantly and negatively correlated with some quality traits. The principal component analysis showed that the cumulative contribution rate of the first four principal components was 73.98%, which including most information of 11 traits. Clustering analysis showed that the 72 cotton materials were classified into six groups. Group Ⅰ belonged to high-quality materials, and group Ⅱ belonged to high-yield materials. Group Ⅴ belonged to high-yield and high-quality materials, which could be used in breeding. Two high-quality cotton materials and six high-yield cotton materials were screened out with the method of comprehensive evaluation, which would be used to cultivate new materials with combination of yield and quality traits.

Key words: cotton after rape cultivation agronomic traits germplasm resources identification screening

收稿日期: 2019-11-29 出版日期: 2020-11-19

CLC:

S 562

基金资助: 国家重点研发计划子课题(2018YFD0100404);国家重点研发计划(2016YFD0101414);江西省现代农业产业技术体系(JXARS-22);国家现代农业产业体系(CARS-15-36)

通讯作者: 王涛,杨秀 E-mail: 1406349237@qq.com;jxmhwangtao@126.com;yangxiu0117@163.com

作者简介: 邓艳凤（https://orcid.org/0000-0002-7933-6302），E-mail：1406349237@qq.com

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引用本文:

邓艳凤,肖水平,杨绍群,刘新稳,柯兴盛,王涛,杨秀. 长江流域油后棉主要农艺性状的鉴定与优异种质筛选[J]. 浙江大学学报（农业与生命科学版）, 2020, 46(5): 551-561.

Yanfeng DENG,Shuiping XIAO,Shaoqun YANG,Xinwen LIU,Xingsheng KE,Tao WANG,Xiu YANG. Identification of main agronomic characteristics and screening of elite germplasm resources of the cotton after rape cultivation in the Yangzte River Basin. Journal of Zhejiang University (Agriculture and Life Sciences), 2020, 46(5): 551-561.

链接本文:

http://www.zjujournals.com/agr/CN/10.3785/j.issn.1008-9209.2019.11.291 或 http://www.zjujournals.com/agr/CN/Y2020/V46/I5/551

表1 供试材料

表2 试验材料主要农艺性状和品质性状的变异情况

表3 试验材料生育期、株形性状与产量性状间的相关性分析

表4 试验材料产量性状与品质性状间的相关性分析

表5 试验材料主成分分析的特征值及贡献率

表6 试验材料主成分分析的得分值

图1 72份材料的聚类分析图

类群 Group	统计参数 Statistic parameter	生育期 Growth period/d	株高 Plant height/ cm	单株果枝数 Number of fruit branches per plant	单株成铃数 Number of boll per plant	衣分 Lint percentage/%	铃质量 Boll mass	上半部平均长度 Average length of upper half part/mm	断裂比强度 Breaking tenacity/ (cN/tex)	马克隆值 Micronaire value	断裂伸长率 Breaking elongation rate/%	长度整齐度指数 Uniformity index of length/%
Ⅰ	平均数 Mean	113.50	131.00	19.80	48.20	35.43	3.95	29.30	34.75	4.80	6.80	85.80
	最大值 Maximum value	115.00	135.60	20.40	51.20	37.98	4.20	29.90	35.40	5.10	6.80	85.70
	最小值 Minimum value	112.00	126.40	19.20	45.20	32.87	3.70	28.70	34.10	4.50	6.80	85.30
	标准差 Standard deviation	2.12	6.51	0.85	4.24	3.61	0.35	0.85	0.92	0.42	0	0.28
	变异系数 Coefficient of variation/%	1.87	4.97	4.29	8.80	10.20	8.95	2.90	2.66	8.84	0	0.33
Ⅱ	平均数 Mean	113.00	127.67	19.13	29.40	36.85	4.90	28.20	31.00	5.48	6.77	84.93
	最大值 Maximum value	114.00	136.80	21.60	33.20	43.31	5.60	29.00	32.90	5.80	6.80	86.50
	最小值 Minimum value	112.00	122.00	16.80	25.20	33.62	4.00	26.80	28.70	5.00	6.70	83.00
	标准差 Standard deviation	0.89	5.37	1.83	3.07	3.36	0.58	0.87	1.45	0.32	0.05	1.20
	变异系数 Coefficient of variation/%	0.79	4.20	9.57	10.45	9.11	11.82	3.10	4.68	5.81	0.76	1.42
Ⅲ	平均数 Mean	112.42	109.62	18.81	33.44	36.54	4.51	28.57	31.23	5.37	6.76	84.85
	最大值 Maximum value	115.00	117.40	22.00	42.20	45.37	5.30	31.40	36.20	6.20	6.90	87.10
	最小值 Minimum value	107.00	103.60	13.80	25.20	27.96	4.00	26.00	26.80	4.20	6.60	82.30
	标准差 Standard deviation	1.80	3.78	2.09	4.56	3.49	0.32	1.57	2.94	0.45	0.08	1.31
	变异系数 Coefficient of variation/%	1.61	3.45	11.12	13.64	9.56	7.11	5.51	9.41	8.33	1.13	1.55
Ⅳ	平均数 Mean	110.13	102.36	18.48	40.36	36.65	4.04	28.43	31.81	5.30	6.81	85.83
	最大值 Maximum value	114.00	105.20	20.40	45.00	39.81	4.40	30.50	36.40	5.80	6.90	87.70
	最小值 Minimum value	103.00	92.80	15.20	33.60	31.84	3.80	25.50	28.00	4.20	6.70	83.90
	标准差 Standard deviation	4.09	4.13	1.72	3.89	2.69	0.19	1.66	3.08	0.47	0.08	1.18
	变异系数 Coefficient of variation/%	3.71	4.04	9.31	9.64	7.33	4.76	5.83	9.69	8.91	1.22	1.37
Ⅴ	平均数 Mean	95.83	110.05	16.40	20.00	37.77	4.46	29.19	32.50	5.47	6.82	85.47
	最大值 Maximum value	100.00	115.00	18.40	27.00	44.33	5.00	32.00	38.00	6.20	6.90	87.20
	最小值 Minimum value	89.00	107.00	13.80	14.00	31.95	3.90	27.20	26.50	4.80	6.70	83.90
	标准差 Standard deviation	3.23	2.31	1.39	3.76	3.18	0.28	1.29	2.90	0.33	0.06	0.94
	变异系数 Coefficient of variation/%	3.37	2.10	8.47	18.82	8.42	6.19	4.43	8.92	6.10	0.85	1.10
Ⅵ	平均数 Mean	95.21	100.71	18.32	25.27	36.12	3.94	29.64	33.31	5.46	6.86	85.52
	最大值 Maximum value	100.00	106.00	23.20	30.20	40.72	4.50	34.50	39.40	6.30	7.10	87.40
	最小值 Minimum value	83.00	92.00	13.00	17.20	30.17	2.90	25.70	29.90	4.90	6.70	83.50
	标准差 Standard deviation	4.15	3.60	3.00	4.20	2.78	0.46	2.63	3.27	0.37	0.09	1.29
	变异系数 Coefficient of variation/%	4.36	3.58	16.37	16.60	7.70	11.65	8.89	9.83	6.68	1.37	1.50

表7 各类群的性状表现

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附表1 72份材料的主要农艺性状

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