35份棉花品系对黄萎病抗性鉴定及综合分析

doi:10.6048/j.issn.1001-4330.2024.01.002

新疆农业科学 ›› 2024, Vol. 61 ›› Issue (1): 9-18.DOI: 10.6048/j.issn.1001-4330.2024.01.002

• 作物遗传育种·种质资源·分子遗传学·土壤肥料 • 上一篇下一篇

35份棉花品系对黄萎病抗性鉴定及综合分析

欧阳单华¹(), 赵康¹, 宋东博¹, 柳自清¹, 郭旺珍², 刘燕³, 顾爱星¹(), 阿扎提古丽·麦麦提图尔¹, 艾力卡尔江·艾麦尔¹

1.新疆农业大学农学院/棉花教育部工程研究中心/农林有害生物监测与安全防控重点实验室,乌鲁木齐 830052
2.南京农业大学农学院,南京 210095
3.新疆冠丰农业科技有限公司,新疆石河子 832000

收稿日期:2023-05-11 出版日期:2024-01-20 发布日期:2024-02-21
通信作者: 顾爱星(1973-),女,新疆乌鲁木齐人,教授,博士,硕士生/博士生导师,研究方向为作物遗传育种,(E-mail)guai_xing@sina.com
作者简介:欧阳单华(1997-),女,新疆昌吉人,硕士研究生,研究方向为植物病理,(E-mail)1468409242@qq.com
基金资助:
新疆维吾尔自治区科技援疆项目“棉花抗逆抗病性状关键基因高通量分子鉴定和优异种质创新与利用”(2021E02003)

Identification and comprehensive analysis of Verticillium wilt resistance in 35 cotton strains

OUYANG Danhua¹(), ZHAO Kang¹, SONG Dongbo¹, LIU Ziqing¹, GUO Wangzhen², LIU Yan³, GU Aixing¹(), Azhatiguli Maimaitituer¹, Alikaerjiang Amaier¹

1. Engineering Research Centre of Cotton,Ministry of Education / Key Laboratory of Agricultural and Forestry Pest Monitoring and Safety Control / College of Agriculture/Xinjiang Agricultural University,Urumqi 830052,China
2. College of Agriculltre,Nanjing Agricultural University,Nanjing 210095,China
3. Xinjiang Guanfeng Agricultural Science and Technology Co.,Ltd.,Shihezi Xinjiang 832000,China

Received:2023-05-11 Online:2024-01-20 Published:2024-02-21
Correspondence author: GU Aixing(1973-),female,Urumqi,Xinjiang,professor,doctoral supervisor,research direction is plant genetics and breeding,(E-mail) guai_xing@sina.com
Supported by:
Xinjiang Uygur Autonomous Region Science and Technology Assistance Project "High-throughput molecular identification and excellent germplasm innovation and utilization of key genes for cotton stress resistance and disease resistance traits"(2021E02003)

摘要/Abstract

摘要：

【目的】筛选出品质优、产量高和抗病性强的棉花品系。【方法】以35份棉花品系为研究对象,对该群体18个主要农艺性状进行主成分和聚类分析。【结果】35份棉花品系的各农艺性状变异系数范围为1.67%(整齐度,UI)~43.10%(相对病情指数,IR),其中相对病情指数(IR)、铃数(TBN)、有效铃数(EBN)和单株皮棉产量(LYPP)变异系数较大,1号(4-13)、2号(4-22)、10号(4-2-7-3)和16号(10Q-67-3)相对病情指数小于20,4个品系对黄萎病的抗性较强;单株皮棉产量与各性状之间相关性不一,与品质性状之间也存在制约;5个主成分特征根值分别为5.334、3.423、3.105、1.298和1.105,贡献率分别为29.636%、19.019%、17.249%、7.214%和6.141%,累计贡献率达到79.259%;将35份棉花品系分为四类,第I类和第Ⅱ类品系综合表现为品质优异,抗病性强类群,但产量低;第Ⅲ类品系综合表现为高产类群,但品质差,抗病性弱;第Ⅳ类品系综合表现为耐病性类群,但产量略低,品质略差。【结论】将各类群与主成分综合得分F值排名前10取交集,优异品系为21号(37-129-3)和30号(44-17-8)。

关键词: 棉花品系; 黄萎病; 相关性分析; 主成分分析; 聚类分析

Abstract:

【Objective】 To select cotton strains with high quality,high yield and strong disease resistance. 【Methods】 35 cotton strains were taken as the research objects,and principal component and cluster analysis on 18 main characters of this population was conducted. 【Results】 The results showed that the coefficient of variation of agronomic traits of 35 cotton strains ranged from 1.67%(UI) to 43.10%(IR),among which the coefficient of variation of relative disease index(IR),boll number(TBN),effective boll number(EBN) and lint yield per plant(LYPP) were larger. The relative disease indexes of 1(4-13),2(4-22),10(4-2-7-3) and 16(10Q-67-3) were lower than 20,indicating strong resistance to Verticillium wilt; That there was no correlation between lint yield per plant and each character,and there was restriction between lint yield and quality character. The five principal components were 5.334,3.423,3.105,1.298 and 1.105,respectively,and the contribution rates were 29.636%,19.019%,17.249%,7.214% and 6.141%,respectively,with the cumulative contribution rate reaching 79.259%. 35 materials were divided into four categories,the group I and group II strains showed excellent quality,strong disease resistance,but low yield. The group Ⅲ strains showed high yield,but poor quality and weak disease resistance. The group Ⅳ of strains showed resistance to the disease,but the yield and quality were slightly lower. 【Conclusion】 The intersection of the top 10 F scores of each group and principal component was selected,and the excellent material No.21(37-129-3) and No.30(44-17-8) were selected.

Key words: cotton strain; Verticillium wilt; correlation analysis; principal component analysis; cluster analysis

中图分类号:

S562

欧阳单华, 赵康, 宋东博, 柳自清, 郭旺珍, 刘燕, 顾爱星, 阿扎提古丽·麦麦提图尔, 艾力卡尔江·艾麦尔. 35份棉花品系对黄萎病抗性鉴定及综合分析[J]. 新疆农业科学, 2024, 61(1): 9-18.

OUYANG Danhua, ZHAO Kang, SONG Dongbo, LIU Ziqing, GUO Wangzhen, LIU Yan, GU Aixing, Azhatiguli Maimaitituer, Alikaerjiang Amaier. Identification and comprehensive analysis of Verticillium wilt resistance in 35 cotton strains[J]. Xinjiang Agricultural Sciences, 2024, 61(1): 9-18.

图/表 6

参考文献 33

[1]	史晓玲. 国家、生态、技术、市场:棉花与鲁西北社会变迁(1906-2006)[D]. 济南: 山东大学, 2020.
	SHI Xiaoling. Country,Ecology,Technology and Market:Cotton and Social changes in North west Shandong(1906-2006)[D]. Jinan: Shandong University, 2020.
[2]	吴方卫, 张锦华. 丝绸之路经济带农牧业合作的空间、潜力与中国农业“走出去”策略[J]. 科学发展, 2016,(4):76-81.
	WU Fangwei, ZHANG Jinhua. The space and potential of agricultural and animal husbandry cooperation along the Silk Road economic belt and the strategy of China's agricultural "going global"[J]. Science Development, 2016,(4):76-81.
[3]	白红燕. 枯草芽孢杆菌EBS03防治棉花黄萎病效果评测及培养条件优化[D]. 乌鲁木齐: 新疆农业大学, 2022.
	BAI Hongyan. Effect evaluation and culture condition optimization of bacillus subtilis EBS03 against Verticillium wilt of cotton[D]. Urumqi: Xinjiang Agricultural University, 2022.
[4]	Tian J, Zhang X, Liang B, et al. Expression of baculovirus anti-apoptotic genes p35 and op-iap in cotton(Gossypium hirsutum L.) enhances tolerance to verticillium wilt[J]. Plos One, 2010, 5(12):e14218.
[5]	Gong Q, Yang Z E, Wang X Q, et al. Salicylic acid-related cotton(Gossypium arboreum) ribosomal protein GaRPL18 contributes to resistance to Verticillium dahliae[J]. BMC Plant Biology, 2017, 17(1):59. DOI URL
[6]	贾子昉, 赵海红, 李成奇, 等. 棉花种质资源遗传多样性研究进展[J]. 贵州农业科学, 2014, 42(1):16-20.
	JIA Zifang, ZHAO Haihong, LI Chengqi, et al. Research progress on genetic diversity of cotton germplasm resources[J]. Guizhou Agricultural Sciences, 2014, 42(1):16-20.
[7]	ZENG L H, Wilson, Bourland. Editorial:trends in cotton breeding:meeting the challenges of the 21st century[J]. Frontiers in Plant science, 2022, 13:1019956. DOI URL
[8]	喻树迅, 范术丽, 王寒涛, 等. 中国棉花高产育种研究进展[J]. 中国农业科学, 2016, 49(18):3465-3476. DOI
	YU Shuxun, FAN Shuli, WANG Hantao, et al. Research progress on high yield breeding of cotton in China[J]. Scientia Agricultura Sinica, 2016, 49(18):3465-3476. DOI
[9]	李雪瑞, 刘宁, 王永刚, 等. 新疆60份引进陆地棉资源主要性状的遗传差异分析[J]. 棉花科学, 2022, 44(1):15-23.
	LI Xuerui, LIU Ning, WANG Yonggang, et al. Genetic difference analysis of main traits of 60 upland cotton cultivars in Xinjiang[J]. Cotton Science, 2022, 44(1):15-23.
[10]	李有忠, 赵曾强, 王志军, 等. 基于陆地棉种质资源表型性状的遗传多样性分析[J]. 湖南农业大学学报(自然科学版), 2022, 48(4):394-400.
	LI Youzhong, ZHAO Zengqiang, WANG Zhijun, et al. Genetic diversity analysis based on phenotypic traits of upland cotton germplasm resources[J]. Journal of Hunan Agricultural University(Natural Science), 2022, 48(4):394-400.
[11]	庄生仁, 任福成, 詹有俊, 等. 黄萎病发病程度对棉花产量及其构成因素的影响效应[J]. 中国棉花, 1999,(3):19-22.
	ZHUANG Shengren, REN Fucheng, ZHAN Youjun, et al. Effect of pathogenetic degree of Verticillium Wilt on cotton yield and its component factors[J]. China Cotton, 1999,(3):19-22.
[12]	顾爱星, 张翠芳, 曲延英, 等. 不同棉花品种(系)的黄萎病抗性及其与经济性状的相关性[J]. 西北农业学报, 2010, 19(11):58-63.
	GU Aixing, ZHANG Cuifang, QU Yanying, et al. Correlation between verticillium wilt resistance and economic traits of different cotton varieties[J]. Acta Agriculturae Boreali-occidentalis Sinica, 2010, 19(11):58-63.
[13]	万刚. 黄萎病对棉花产量和品质的影响及棉花品种抗病性研究[D]. 石河子: 石河子大学, 2017.
	WANG Gang. Effect of Verticillium wilt on yield and quality of cotton and study on resistance of cotton varieties[D]. Shihezi: Shihezi University, 2017.
[14]	郭宝生, 王凯辉, 刘素恩, 等. 陆地棉品种和骨干品系黄萎病抗性鉴定[J]. 植物遗传资源学报, 2014, 15(2):389-393.
	GUO Baosheng, WANG Kaihui, LIU Suen, et al. Identification of Verticillium wilt resistance in upland cotton cultivars and backbone lines[J]. Journal of Plant Genetic Resources, 2014, 15(2):389-393. DOI
[15]	Yuan Y C, Xing H X, Zeng W G, et al. Genome-wide association and differential expression analysis of salt tolerance in Gossypium hirsutum L at the germination stage[J]. BMC Plant Biology, 2019, 19(1):394. DOI PMID
[16]	孟庆立, 关周博, 冯佰利, 等. 谷子抗旱相关性状的主成分与模糊聚类分析[J]. 中国农业科学, 2009, 42(8):2667-2675.
	MENG Qingli, GUAN Zhoubo, FENG Baili, et al. Principal components and fuzzy cluster analysis of drought-resistant traits in millet[J]. Scientia Agricultura Sinica, 2009, 42(8):2667-2675.
[17]	韩丽萍, 郭卫卫, 韩晓凡, 等. 利用SOM聚类分析及主成分分析方法鉴定小麦品种萌发期耐盐性[J]. 中国农学通报, 2021, 37(24):6-17. DOI
	HAN Liping, GUO Weiwei, HAN Xiaofan, et al. Identification of salt tolerance of wheat varieties at germination stage by SOM cluster analysis and principal component analysis[J]. Chinese Agricultural Science Bulletin, 2021, 37(24):6-17.
[18]	孙东雷, 卞能飞, 王幸, 等. 高油酸花生萌发期耐冷性综合评价及种质筛选[J]. 核农学报, 2021, 35(6):1263-1272. DOI
	SUN Donglei, BIAN Nengfei, WANG Xing, et al. Comprehensive evaluation of cold tolerance and germplasm screening of peanut with high oleic acid at germination stage[J]. Journal of Nuclear Agricultural Sciences, 2021, 35(6):1263-1272. DOI
[19]	李兴河, 王海涛, 刘存敬, 等. 80份棉花种质资源的育种应用价值评价[J]. 农学学报, 2021, 11(11):11-18. DOI
	LI Xinghe, WANG Haitao, LIU Cunjing, et al. Evaluation of breeding application value of 80 cotton germplasm resources[J]. Journal of Agriculture, 2021, 11(11):11-18. DOI
[20]	周绍松, 周敏, 张忠武, 等. 主成分散点图分析在烤烟新品种评价中的应用[J]. 中国烟草科学, 2018, 39(4):71-79.
	ZHOU Shaosong, ZHOU Min, ZHANG Zhongwu, et al. Application of principal component scattered point plot analysis in evaluation of new flue-cured tobacco varieties[J]. Chinese Tobacco Science, 2018, 39(4):71-79.
[21]	顾爱星, 蔡晓峰, 李海薇. 海岛棉、陆地棉及杂交后代枯萎病抗性与产量因素的相关关系分析[J]. 新疆农业大学学报, 2017, 40(2):111-116.
	GU Aixing, CAI Xiaofeng, LI Haiwei. Analysis of correlation between fusarium wilt resistance and yield factors of island cotton,upland cotton and hybrid progeny[J]. Journal of Xinjiang Agricultural University, 2017, 40(2):111-116.
[22]	马前程. 棉花黄萎病抗性相关的分子标记辅助选择[D]. 乌鲁木齐: 新疆农业大学, 2016.
	MA Qiancheng. Molecular marker-assisted selection related to Verticillium wilt resistance in cotton[D]. Urumqi: Xinjiang Agricultural University, 2016.
[23]	李丹. 棉花黄萎病抗性评价指标与抗病相关基因引物分析[D]. 乌鲁木齐: 新疆农业大学, 2014.
	LI Dan. Cotton Verticillium wilt resistance evaluation index and resistance related gene primers analysis[D]. Urumqi: Xinjiang Agricultural University, 2014.
[24]	杨永林, 李豪, 杨名, 等. 利用SSR标记构建新石K28的指纹图谱及遗传多样性分析[J]. 分子植物育种:1-21.
	YANG Yonglin, LI Hao, YANG Ming, et al. Construction of fingerprint and genetic diversity analysis of xinshi K28 by SSR marker[J]. Molecular Plant Breeding:1-21.
[25]	单莹, 曹桂艳, 王子胜. 2009—2019年辽宁区试棉花品种枯黄萎病抗性分析[J]. 中国棉花, 2020, 47(2):34-35,46. DOI
	SHAN Ying, CAO Guiyan, WANG Zisheng. Analysis of resistance to Verticillium wilt in cotton varieties tested in Liaoning region from 2009 to 2019[J]. China Cotton, 2020, 47(2):34-35,46.
[26]	邓亚辉, 白合提尼沙·艾海提, 宁硕, 等. 新疆棉花黄萎病新型菌株NH1致病性鉴定及抗病分析[J]. 分子植物育种, 2021, 19(10):3407-3414.
	DENG Yahui, Baihetinisha Aihaiti, NING Shuo, et al. Pathogenicity and resistance analysis of a novel strain of Verticillium wilt of cotton in Xinjiang[J]. Molecular Plant Breeding, 2021, 19(10):3407-3414.
[27]	王俊铎, 龚照龙, 梁亚军, 等. 200份陆地棉种质资源农艺性状遗传多样性分析[J]. 新疆农业科学, 2020, 57(9):1623-1629. DOI
	WANG Jundao, GONG Zhaolong, LIANG Yajun, et al. Genetic diversity analysis of agronomic traits of 200 upland cotton germplasm resources[J]. Xinjiang Agricultural Sciences, 2020, 57(9):1623-1629.
[28]	李慧琴, 于娅, 王鹏, 等. 270份陆地棉种质资源农艺性状与品质性状的遗传多样性分析[J]. 植物遗传资源学报, 2019, 20(4):903-910.
	LI Huiqin, YU Ya, WANG Peng, et al. Genetic diversity analysis of agronomic and quality traits in 270 upland cotton germplasm resources[J]. Journal of Plant Genetic Resources, 2019, 20(4):903-910.
[29]	刘剑光, 赵君, 徐剑文, 等. 200份陆地棉种质资源的遗传多样性分析[J]. 江苏农业科学, 2021, 49(14):66-69.
	LIU Jianguang, ZHAO Jun, XU Jianwen, et al. Genetic diversity analysis of 200 upland cotton germplasm resources[J]. Jiangsu Agricultural Sciences, 2021, 49(14):66-69.
[30]	马肖, 刘木兰, 彭嘉熹, 等. 岱字棉来源的陆地棉种质资源的遗传多样性分析[J]. 分子植物育种, 2021, 19(4):1354-1365.
	MA Xiao, LIU Mulan, PENG Jiaxi, et al. Genetic diversity analysis of upland cotton germplasm from Daizi cotton[J]. Molecular Plant Breeding, 2021, 19(4):1354-1365.
[31]	王海涛, 李兴河, 蔡肖, 等. 314份陆地棉种质资源农艺性状与品质性状的遗传多样性分析[J]. 山东农业科学, 2022, 54(5):16-23.
	WANG Haitao, LI Xinghe, CAI Xiao, et al. Genetic diversity analysis of agronomic and quality traits in 314 upland cotton germplasm resources[J]. Shandong Agricultural Sciences, 2022, 54(5):16-23.
[32]	刘娜, 高文伟. 陆地棉耐盐表型数据的遗传多样性研究[J]. 种子, 2019, 38(11):57-62,67.
	LIU Na, GAO Wenwei. Genetic diversity of salt tolerance phenotype data in upland cotton[J]. Seed, 2019, 38(11):57-62,67.
[33]	杨涛, 黄雅婕, 李生梅, 等. 海岛棉种质资源表型性状的遗传多样性分析及综合评价[J]. 中国农业科学, 2021, 54(12):2499-2509. DOI
	YANG Tao, HUANG Yajie, LI Shengmei, et al. Genetic diversity analysis and comprehensive evaluation of phenotypic traits in sea island cotton germplasm resources[J]. Scientia Agricultura Sinica, 2021, 54(12):2499-2509. DOI

编号 Number	棉花品系 Variety	相对病指 Disease index	反应型 Reaction type	编号 Number	棉花品系 Variety	相对病指 Disease index	反应型 Reaction type
1	4-13	13.5	R	19	37-101-3	45	S
2	4-22	18	R	20	37-109-2	31.5	T
3	4-8-2-1	58.5	S	21	37-129-3	22.5	T
4	4-14-3-5	22.5	T	22	37-16	36	S
5	4-15-3-3	22.5	T	23	37-172-7	27	T
6	4-2-3-2	27	T	24	37-179-3	31.5	T
7	4-18-3-1	27	T	25	37-59-6	31.5	T
8	4-18	67.5	S	26	37-68	27	T
9	4-20-2	27	T	27	37-85-6	40.5	S
10	4-2-7-3	18	R	28	37-116-3	27	T
11	4-8-2-7	54	S	29	37-94-5	63	S
12	10Q-11-2	31.5	T	30	44-17-8	58.5	S
13	10Q-33-3	31.5	T	31	44-8-1	36	S
14	10Q-44	67.5	S	32	CQJ-5	22.5	T
15	10Q-67	54	S	33	CQJ-5Z2	31.5	T
16	10Q-67-3	13.5	R	34	CQJ-5Z6	54	S
17	10Q-69	31.5	T	35	CQJ-5Z7	49.5	S
18	37-101-5	63	S

编号 Number	棉花品系 Variety	相对病指 Disease index	反应型 Reaction type	编号 Number	棉花品系 Variety	相对病指 Disease index	反应型 Reaction type
1	4-13	13.5	R	19	37-101-3	45	S
2	4-22	18	R	20	37-109-2	31.5	T
3	4-8-2-1	58.5	S	21	37-129-3	22.5	T
4	4-14-3-5	22.5	T	22	37-16	36	S
5	4-15-3-3	22.5	T	23	37-172-7	27	T
6	4-2-3-2	27	T	24	37-179-3	31.5	T
7	4-18-3-1	27	T	25	37-59-6	31.5	T
8	4-18	67.5	S	26	37-68	27	T
9	4-20-2	27	T	27	37-85-6	40.5	S
10	4-2-7-3	18	R	28	37-116-3	27	T
11	4-8-2-7	54	S	29	37-94-5	63	S
12	10Q-11-2	31.5	T	30	44-17-8	58.5	S
13	10Q-33-3	31.5	T	31	44-8-1	36	S
14	10Q-44	67.5	S	32	CQJ-5	22.5	T
15	10Q-67	54	S	33	CQJ-5Z2	31.5	T
16	10Q-67-3	13.5	R	34	CQJ-5Z6	54	S
17	10Q-69	31.5	T	35	CQJ-5Z7	49.5	S
18	37-101-5	63	S

性状 Traits	极小值 Minimum	极大值 Maximum	均值 Mean	标准差 SD	变异系数 CV(%)
株高Plant height	39.60	94.00	68.13	14.44	21.20
始节高Height of the first branch	9.64	20.40	15.12	2.89	19.14
果枝数Fruit branch number	6.20	16.00	10.46	2.46	23.53
有效果枝数Effective fruit branch	4.57	13.33	8.12	2.30	28.34
铃数The boll number	5.14	24.33	12.41	5.35	43.10
有效铃数Effective boll number	4.29	22.67	10.74	4.52	42.12
单铃重Bell weight	2.42	6.19	4.29	0.85	19.83
衣分Lint percentage	26.16	46.43	34.06	4.05	11.90
单株皮棉重Lint yield per plant	3.32	16.59	9.67	3.34	34.48
单株籽棉重Seed cotton yield per plant	10.46	51.20	28.36	9.18	32.37
相对病情指数Relative disease index	13.50	67.50	36.64	16.01	43.69
上半部平均长度Upper half mean length	24.27	35.50	28.79	1.92	6.68
整齐度Uniformity index	80.77	87.40	83.56	1.40	1.67
强度Fiber strength	24.00	45.20	28.68	3.50	12.21
伸长率Elongation ratio	7.30	13.50	9.74	1.38	14.12
短纤维指数Short fiber index	3.20	10.00	7.51	1.58	20.99
纺纱均匀性指数Spinning consistency index	93.00	196.00	132.05	18.33	13.88
马克隆值Micronaire	2.71	5.83	4.15	0.61	14.66

性状 Traits	极小值 Minimum	极大值 Maximum	均值 Mean	标准差 SD	变异系数 CV(%)
株高Plant height	39.60	94.00	68.13	14.44	21.20
始节高Height of the first branch	9.64	20.40	15.12	2.89	19.14
果枝数Fruit branch number	6.20	16.00	10.46	2.46	23.53
有效果枝数Effective fruit branch	4.57	13.33	8.12	2.30	28.34
铃数The boll number	5.14	24.33	12.41	5.35	43.10
有效铃数Effective boll number	4.29	22.67	10.74	4.52	42.12
单铃重Bell weight	2.42	6.19	4.29	0.85	19.83
衣分Lint percentage	26.16	46.43	34.06	4.05	11.90
单株皮棉重Lint yield per plant	3.32	16.59	9.67	3.34	34.48
单株籽棉重Seed cotton yield per plant	10.46	51.20	28.36	9.18	32.37
相对病情指数Relative disease index	13.50	67.50	36.64	16.01	43.69
上半部平均长度Upper half mean length	24.27	35.50	28.79	1.92	6.68
整齐度Uniformity index	80.77	87.40	83.56	1.40	1.67
强度Fiber strength	24.00	45.20	28.68	3.50	12.21
伸长率Elongation ratio	7.30	13.50	9.74	1.38	14.12
短纤维指数Short fiber index	3.20	10.00	7.51	1.58	20.99
纺纱均匀性指数Spinning consistency index	93.00	196.00	132.05	18.33	13.88
马克隆值Micronaire	2.71	5.83	4.15	0.61	14.66

性状 Traits	PC₁	PC₂	PC₃	PC₄	PC₅
株高Plant height	0.842	0.188	0.244	0.132	0.184
始节高Height of the first branch	0.093	-0.204	0.640	0.239	0.420
果枝数Fruit branch number	0.779	0.451	-0.087	0.056	0.071
有效果枝数Effective fruit branch	0.833	0.390	-0.034	-0.011	0.193
铃数The boll number	0.877	0.352	0.054	-0.083	0.010
有效铃数Effective boll number	0.886	0.285	0.137	-0.115	-0.020
单铃重Bell weight	0.044	-0.036	0.716	-0.038	-0.393
衣分Lint percentage	0.092	-0.163	0.899	0.048	-0.155
单株皮棉重Lint yield per plant	0.312	-0.027	0.861	0.077	-0.220
单株籽棉重Seed cotton yield per plant	-0.486	-0.502	0.287	-0.133	0.165
相对病情指数Relative disease index	-0.033	0.185	-0.083	0.489	0.435
上半部平均长度Upper half mean length	-0.470	0.758	0.100	-0.111	-0.163
整齐度Uniformity index	-0.513	0.339	0.322	0.524	0.036
强度Fiber strength	-0.431	0.621	0.153	-0.420	0.303
伸长率Elongation ratio	0.089	0.020	-0.437	0.659	-0.346
短纤维指数Short fiber index	0.663	-0.398	-0.282	-0.171	-0.196
纺纱均匀性指数Spinning consistency index	-0.534	0.806	0.180	-0.056	0.040
马克隆值Micronaire	0.129	-0.767	0.123	-0.063	0.361
特征根Characteristic value	5.334	3.423	3.105	1.298	1.105
贡献率Contributions rate(%)	29.636	19.019	17.249	7.214	6.141
累积贡献率Accumulative contributions rate(%)	29.636	48.655	65.904	73.118	79.259

35份棉花品系对黄萎病抗性鉴定及综合分析

Identification and comprehensive analysis of Verticillium wilt resistance in 35 cotton strains

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 33

相关文章 15

编辑推荐

Metrics

序号 Number	PC₁	PC₂	PC₃	PC₄	PC₅	F-value	Rank
1	1.372	-1.696	0.510	-0.813	-0.239	0.125	14
2	0.882	-1.768	-0.211	1.518	0.649	0.048	17
3	0.979	0.967	-0.564	2.108	-1.363	0.562	5
4	-0.976	-0.569	0.499	1.263	0.220	-0.261	24
5	-1.521	-1.513	-1.520	-0.447	-1.374	-1.410	35
6	-0.088	-0.045	1.060	-0.835	-1.335	0.009	19
7	-0.165	0.089	1.245	-1.315	0.054	0.115	15
8	0.600	1.744	-0.792	-1.667	0.638	0.368	7
9	-1.338	-0.776	-0.733	-0.376	-0.818	-0.944	34
10	-1.403	-0.048	1.878	1.341	2.020	0.151	13
11	0.284	0.277	-1.771	-1.350	-0.820	-0.399	30
12	0.012	-0.902	-0.981	-0.679	-0.073	-0.493	32
13	-0.296	0.307	0.970	-1.407	-0.888	-0.022	20
14	0.403	1.295	-1.503	0.597	0.223	0.205	10
15	-1.385	1.239	-0.672	0.234	-1.687	-0.476	31
16	-0.494	-1.209	0.660	0.462	-1.283	-0.388	29
17	3.591	-0.757	0.856	-0.147	0.163	1.347	1
18	0.771	1.482	-0.328	1.558	1.527	0.832	2
19	1.778	0.207	-0.017	-0.535	-0.708	0.608	4
20	-0.372	-0.237	0.030	-1.033	1.944	-0.134	23
21	0.548	0.120	2.280	0.327	-1.676	0.632	3
22	0.422	-0.084	0.135	0.425	-0.434	0.172	11
23	-1.146	0.413	1.466	-0.434	0.338	-0.023	22
24	-0.041	-1.331	-1.673	0.262	1.131	-0.589	33
25	-0.241	-0.982	-1.027	1.951	-0.026	-0.374	28
26	-0.529	-0.064	0.947	-0.071	1.243	0.083	16
27	-0.220	0.488	0.179	-1.079	0.647	0.026	18
28	-0.976	-0.245	0.429	0.181	0.225	-0.297	25
29	-0.104	1.804	-0.277	-0.223	0.307	0.337	8
30	0.409	1.293	-0.338	0.212	0.232	0.427	6
31	-0.165	-0.419	-0.808	-1.459	1.750	-0.337	27
32	-0.092	-0.637	0.675	0.018	0.200	-0.023	21
33	-0.063	-0.691	-0.603	-0.116	-0.050	-0.335	26
34	-0.561	1.640	0.463	0.706	-0.692	0.296	9
35	0.123	0.610	-0.467	0.823	-0.045	0.162	12

[1]	汪天玲, 侯献飞, 施俊杰, 孙全喜, 贾东海, 顾元国, 单世华, 苗昊翠, 李强. 67份匍匐型花生种质资源遗传多样性分析[J]. 新疆农业科学, 2024, 61(1): 42-54.
[2]	王朋, 郑凯, 赵杰银, 高文举, 龙遗磊, 陈全家, 曲延英. 陆地棉种质资源材料的耐热性评价及指标筛选[J]. 新疆农业科学, 2023, 60(9): 2081-2090.
[3]	阳妮, 玛依拉·玉素音, 杨延龙, 李春平, 张大伟, 徐海江, 赖成霞. 黄萎病枯斑型与黄化型病症棉花叶片的植物挥发物对比[J]. 新疆农业科学, 2023, 60(8): 1975-1986.
[4]	赵连佳, 李淦, 徐麟, 颜国荣, 刘宁, 王帆, 邓超宏, 阿布都克尤木·阿不都热孜克, 王聪, 王威. 不同大豆品种在新疆生态区主要农艺性状表现及产量的相关分析[J]. 新疆农业科学, 2023, 60(7): 1663-1670.
[5]	黄倩楠, 马尔合巴·艾司拜尔, 邹辉, 王彩荣, 艾力买买提·库尔班, 孙娜, 雷钧杰. 新疆冬小麦种质资源主要农艺性状遗传多样性分析[J]. 新疆农业科学, 2023, 60(5): 1050-1058.
[6]	杨明花, 刘强, 廖必勇, 彭云承, 布阿依夏木·那曼提, 达吾来·杰克山. 不完全双列杂交玉米组合抗倒伏综合评价[J]. 新疆农业科学, 2023, 60(4): 832-840.
[7]	刘敏, 靳娟, 阿布都卡尤木·阿依麦提, 樊丁宇, 郝庆, 杨磊, 赵晓梅, 耿文娟. 新疆3个鲜食枣品种的抗寒性评价[J]. 新疆农业科学, 2023, 60(4): 916-924.
[8]	杜红艳, 庞胜群, 马海翔, 吉雪花. 加工番茄早熟突变体农艺性状相关性及通径分析[J]. 新疆农业科学, 2023, 60(4): 943-950.
[9]	程利华, 杨红兰, 马清倩, 史莹, 张大伟, Alisher A. Abdullaev, 张道远. 陆地棉种质黄萎病抗性生理鉴定分析[J]. 新疆农业科学, 2023, 60(4): 992-1002.
[10]	杨植, 董梦怡, 王振磊, 闫芬芬, 吴翠云, 王玖瑞, 刘孟军, 林敏娟. 基于TPA法枣酸枣杂交F₁果实质地与裂果对比分析[J]. 新疆农业科学, 2023, 60(3): 608-615.
[11]	郭阳, 郭俊先, 史勇, 刘丽, 方文艳, 刘彦岑. 特征波长筛选结合PCA-LSSVM对甜瓜叶片SPAD值的预测[J]. 新疆农业科学, 2023, 60(3): 616-623.
[12]	马清倩, 杨红兰, 魏鑫, 张大伟, 程利华, 张道远. 18份国外棉花种质黄萎病抗性鉴定与筛选[J]. 新疆农业科学, 2023, 60(2): 286-294.
[13]	马旭, 赵英, 韩炜, 武胜利, 韩晓燕. 14种沙棘果实中氨基酸组成的主成分分析与综合评价[J]. 新疆农业科学, 2023, 60(2): 378-388.
[14]	曹艺洁, 史智勇, 玉苏甫·阿不力提甫, 艾沙江·买买提. 库尔勒香梨粗皮果矿质元素和氨基酸的含量分析[J]. 新疆农业科学, 2023, 60(2): 407-415.
[15]	王威, 徐乐, 樊艳星, 王帆, 马艳明, 唐中华. 鹰嘴豆种子代谢产物的GC-MS分析[J]. 新疆农业科学, 2023, 60(12): 2962-2972.