Comprehensive evaluation of cotton yield and quality by principal component analysis and grey correlation analysis

doi:10.6048/j.issn.1001-4330.2023.05.008

Xinjiang Agricultural Sciences ›› 2023, Vol. 60 ›› Issue (5): 1099-1109.DOI: 10.6048/j.issn.1001-4330.2023.05.008

• Crop Genetics and Breeding·Germplasm Resources·Cultivation Physiology·Physiology and Biochemistry • Previous Articles Next Articles

Comprehensive evaluation of cotton yield and quality by principal component analysis and grey correlation analysis

LU Tao¹(), ZENG Qingtao¹(), ZHANG Wen¹, WANG Wenbo², WANG Zhengyang¹, YANG Rui¹, SUN Yuyan²

1. Institute of Agricultural Sciences of Agricultural Production Division 7, Xinjiang Production and Construction Crops, Kuitun Xinjiang 833200, China
2. Agricultural Technology Extension Station of the 7th Agricultural Division,Kuitun Xinjiang 833200, China

Received:2022-09-25 Online:2023-05-20 Published:2023-05-22
Correspondence author: ENG Qingtao(1979-), male, associate research fellow. Research area: cotton cultivation and breeding, (E-mail)147611116@qq.com
Supported by:
The modern agricultural industry technology system- Technical system of cotton industry(CARS-15-49);Huyanghe financial science and technology project of the seventh division of Xinjiang production and Construction Corps-Demonstration test of cotton varieties in Qishi in 2020(2020C02)

主成分分析及灰色关联度分析综合评价棉花产量与品质

逯涛¹(), 曾庆涛¹(), 张文¹, 王文博², 王政洋¹, 杨芮¹, 孙玉岩²

1.新疆生产建设兵团第七师农业科学研究所,新疆奎屯 833200
2.新疆生产建设兵团第农七师农业技术推广站,新疆奎屯 833200

通讯作者: 曾庆涛(1979-),男,河南人,副研究员,研究方向为棉花栽培及育种,(E-mail)147611116@qq.com
作者简介:逯涛(1988-),男,甘肃天水人,助理研究员,研究方向为棉花栽培及育种,(E-mail)380605364@qq.com
基金资助:
国家现代农业产业技术体系—棉花产业技术体系(CARS-15-49);新疆生产建设兵团第七师胡杨河市财政科技项目—2020年七师棉花品种展示试验(2020C02)

Abstract

Abstract:

【Objective】 This project aims to screen out cotton materials of high-quality and high-yield suitable for planting in the 7th Agricultural Division cotton area, and provide theoretical basis for variety promotion and corresponding supporting cultivation techniques in the future stage.【Methods】 19 cotton varieties were taken as the research objects to analyze the variation, correlation, principal component and grey correlations of their 14 agronomic characters, yield and quality traits by DPS statistical software.【Results】 The results showed that, the variation coefficients of the characters among 19 cotton varieties ranged from 0.92% to 15.08%, and the variation coefficient of plant height was the largest, which was 15.08%. The correlation analysis results showed that the plant height was significantly or extremely significantly correlated with fruit branch number, first fruit node height, cotton yield and elongation, cotton yield was significantly or extremely significantly correlated with first fruit node height, boll number per plant, boll weight per plant and short fiber index, fiber length was significantly or extremely significantly correlated with boll weight per plant, Micronaire and breaking strength, evenness index was significantly or extremely significantly correlated with breaking strength specific strength, elongation and short fiber index showed significant or extremely significant correlation. The results of principal component analysis showed that the cumulative contribution rate of the first six principal components was 86.2894%, which could reflect most of the information of all traits. According to the comprehensive evaluation ranking of the tested materials, the top four materials were K07-12, zhongmiansuo 92, Z1112 and zhongmiansuo 113. Grey correlation analysis results showed that the materials with higher weighted correlation degree were K07-12, Z1112, zhongmiansuo 92 and zhongmiansuo 113. The larger the weighted correlation degree, the closer it was to the ideal variety. Therefore, K07-12, Z1112, zhongmiansuo 92 and zhongmiansuo 113 performed better.【Conclusion】 The results of principal component analysis and grey correlation analysis were basically consistent, so K07-12, zhongmiansuo 92, Z1112 and zhongmiansuo 113 are recommended to be planted and popularized in the 7th Agricultural Division cotton area.

Key words: cotton; principal component analysis; grey correlation analysis; comprehensive evaluation; screening

摘要：

【目的】筛选出适宜兵团第七师棉区种植的优质高产棉材料,为品种推广和相应配套栽培技术提供理论依据。【方法】选取19份棉花品种(系)为研究对象,采用DPS 软件分析14个农艺性状、产量及品质性状进行变异、相关性、主成分和灰色关联度。【结果】19份棉花品种(系)的性状变异系数在0.92%~15.08%,其中,株高变异系数最大,为15.08%;株高与果枝数、始果节高、籽棉产量、伸长率呈显著或极显著相关关系,籽棉产量与始果节高、单株结铃数、单铃重、短纤维指数呈显著或极显著相关关系,纤维长度与单铃重、马克隆值、断裂比强度呈显著或极显著相关关系,整齐度指数与断裂比强度、伸长率、短纤维指数呈显著或极显著相关关系。前6个主成分的累计贡献率达到86.289 4%,可反映所有性状的绝大部分信息,排名靠前的4位依次是K07-12、中棉所92、Z1112和中棉所113。灰色关联度分析结果表明,加权关联度较大的材料有K07-12、Z1112、中棉所92和中棉所113,加权关联度越大越接近理想品种,因此K07-12、Z1112、中棉所92和中棉所113表现较好。【结论】主成分分析法与灰色关联度法的分析结果基本一致,K07-12、中棉所92、Z1112和中棉所113为第七师棉区种植优质高产棉花品种。

关键词: 棉花, 种质资源, 遗传多样性分析

CLC Number:

S562

LU Tao, ZENG Qingtao, ZHANG Wen, WANG Wenbo, WANG Zhengyang, YANG Rui, SUN Yuyan. Comprehensive evaluation of cotton yield and quality by principal component analysis and grey correlation analysis[J]. Xinjiang Agricultural Sciences, 2023, 60(5): 1099-1109.

逯涛, 曾庆涛, 张文, 王文博, 王政洋, 杨芮, 孙玉岩. 主成分分析及灰色关联度分析综合评价棉花产量与品质[J]. 新疆农业科学, 2023, 60(5): 1099-1109.

Figures/Tables 7

References 26

[1]	新疆棉花产量全国占比84.9%比重创新高[J]. 新疆农机化, 2020,(1):6.
	Xinjiang's cotton output accounted for 84.9% of the country's total, reaching a new hight[J]. Agricultural Mechanization in Xinjiang, 2020,(1):6.
[2]	林育, 李芳芳, 唐韦娜. 棉花生产机械在兵团的应用现状及发展[C]// 2010国际农业工程大会, 2010.
	LIN Yu, LI Fangfang, TANG Weina. Application status and development of cotton production machinery in Crops[C]// 2010 International Conference on Agricultural Engineering, 2010.
[3]	邓艳凤, 肖水平, 柯兴盛, 等. 长江流域早熟棉新品系主要产量、品质及农艺性状的分析[J]. 江西农业大学学报, 2019, 41(5):861-872.
	DENG Yanfeng, XIAO Shuiping, KE Xingsheng, et al. Analysis of the main yield, quality and agronomic traits of the new early-maturing cotton lines in Yangtze River Basin[J]. Acta Agriculturae Universitatis Jiangxiensis, 2019, 41(5):861-872.
[4]	石有太, 李忠旺, 陈玉梁, 等. 不同陆地棉基因型抗旱性评价与抗旱丰产种质筛选[J]. 植物遗传资源学报, 2020, 21(3):133-144.
	SHI Youtai, LI Zhongwang, CHEN Yuliang, et al. Evaluation of drought-tolerance of upland cotton genotypes and screening for drought-tolerance yielding germplasm[J]. Journal of Plant Genetic Resources, 2020, 21(3):133-144.
[5]	李吉琴. 2012年兵团区试棉花产量及品质构成因素的主成分分析[J]. 石河子科技, 2013,(4):1-3.
	LI Jiqin. Principal component analysis of cotton yield and quality components in Crops regional test in 2012[J]. Shihezi Technology, 2013,(4):1-3.
[6]	杨秀, 邓艳凤, 肖水平, 等. 早熟棉F₁代22份材料主要性状的综合评价分析[J]. 棉花科学, 2020, 42(2):15-21.
	YANG Xiu, DENG Yanfeng, XIAO Shuiping, et al. Comprehensive evaluation and analysis of the main characters of 22 materials in F₁ generation of early maturing cotton[J]. Cotton Science, 2020, 42(2):15-21.
[7]	陈荣江, 王文峰, 朱明哲. 棉花新品种产量性状与品质性状的典型相关与主成分分析[J]. 农业系统科学与综合研究, 2007, 23(2):187-189,195.
	CHEN Rongjiang, WANG Wenfeng, ZHU Mingzhe. Canonical relation and principal components analysis of new varieties of cotton yield and quality characteristics[J]. System Sciences and Comprehensive Studies in Agriculture, 2007, 23(2):187-189,195.
[8]	戴茂华, 刘丽英, 郑书宏, 等. 陆地棉主要农艺性状的相关性及聚类分析[J]. 中国农学通报, 2015, 31(12):139-144. DOI
	DAI Maohua, LIU Liying, ZHENG Shuhong, et al. Correlation and cluster analysis for main agronomic characters of upland cotton[J]. Chinese Agricultural Science Bulletin, 2015, 31(12):139-144. DOI
[9]	杨利勇, 李晓兰, 杨新建, 等. 北疆杂交棉主要性状相关性及主成分分析[J]. 西北农业学报, 2012, 21(9):63-68.
	YANG Liyong, LI Xiaolan, YANG Xinjian, et al. Correlation and principal component analysis of main characters of hybrid cotton in Northern Xinjiang[J]. Acta Agriculturae Boreali-ocidentalis Sinica, 2012, 21(9):63-68.
[10]	尹会会, 李秋芝, 李海涛, 等. 134份国外陆地棉种质主要农艺性状与纤维品质性状的遗传多样性分析[J]. 植物遗传资源学报, 2017, 18(6):109-119.
	YIN Huihui, LI Qiuzhi, LI Haitao, et al. Analysis of genetic diversity of the main agronomic and fibre quality characters of 134 foreign upland cotton germplasms[J]. Journal of Plant Genetic Resources, 2017, 18(6):109-119.
[11]	王天友, 王有武, 曹新川, 等. 南疆陆地棉种质资源表型性状遗传多样性分析[J]. 种子, 2020, 39(4):5-11.
	WANG Tianyou, WANG Youwu, CAO Xinchuan, et al. Genetic diversity analysis based on phenotypic traits of upland cotton germplasms in Southern Xinjiang Region[J]. Seed, 2020, 39(4):5-11.
[12]	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 the main agronomic and fiber quality characteristics in 270 upland cotton germplasm resources[J]. Journal of Plant Genetic Resources, 2019, 20(4):903-910.
[13]	龚平, 曹新川, 林世利, 等. 陆地棉品种(系)的灰色关联度分析与综合评价[J]. 中国种业, 2003, (12):36-38.
	GONG Ping, CAO Xinchuan, LIN Shili, et al. Grey correlation analysis and comprehensive evaluation of Upland Cotton Varieties (lines)[J]. Chinese Seed Industry, 2003, (12):36-38.
[14]	胡标林, 万勇, 李霞, 等. 水稻核心种质表型性状遗传多样性分析及综合评价[J]. 作物学报, 2012, 38(5):829-839.
	HU Biaolin, WAN Yong, LI Xia, et al. Analysis on genetic diversity of phenotypic traits in rice (Oryza sativa) core collection and its comprehensive assessment[J]. Acta Agronomica Sinica, 2012, 38(5):829-839. DOI URL
[15]	高进, 蔡立旺, 宋锦花, 等. 早熟棉花品种产量品质性状的综合评价与聚类分析[J]. 西南农业学报, 2015, 28(6): 2425-2431.
	GAO Jin, CAI Liwang, SONG Jinhua, et al. Synthetic evaluation and cluster analysis on yield and quality characters of early maturity cotton varieties[J]. Southwest China Journal of Agricultural Sciences, 2015, 28(6): 2425-2431.
[16]	董承光, 王娟, 周小凤, 等. 新疆陆地棉品种资源的主成分分析和聚类分析[J]. 西南农业学报, 2016, 29(8): 1798-1805.
	DONG Chengguang, WANG Juan, ZHOU Xiaofeng, et al. Clustering and principal components analysis of Xinjiang upland cotton variety resources(Gossypium hirsutum L.)[J]. Southwest China Journal of Agricultural Sciences, 2016, 29(8): 1798-1805.
[17]	唐中杰, 李武, 谢德意. 1978-2007年河南省棉花品种遗传改良成效研究Ⅱ纤维品质的改良[J]. 河南农业科学, 2011, 40(1):66-68.
	TANG Zhongjie, LI Wu, XIE Deyi. The research of genetic improvement effectiveness on cotton varieties of Henan Province during the latest three decades II. improvement of fiber quality[J]. Journal of Henan Agricultural Science, 2011, 40(1):66-68.
[18]	齐海坤, 严根土, 王宁, 等. 机采棉杂交后代主要株型性状与产量和品质的关系[J]. 棉花学报, 2017, 29(5):456-465.
	QI Haikun, YAN Gentu, WANG Ning, et al. Relation of plant type traits with fiber yield and quality in the crossing population of mechanical-harvested cotton[J]. Cotton Science, 2017, 29(5):456-465.
[19]	刘昌文, 宋义前, 张燕, 等. 新疆主要早熟陆地棉农艺性状相关分析与评价研究[J]. 新疆农业科学, 2008, 45(5):791-796.
	LIU Changwen, SONG Yiqian, ZHANG Yan, et al. Correlation analysis and assessment of agronomic characters of the main early-maturing upland cotton in Xinjiang[J]. Xinjiang Agricultural Sciences, 2008, 45(5):791-796.
[20]	游书梅, 曹应江, 郑家奎, 等. 73份亚洲水稻恢复系农艺性状的主成分与聚类分析[J]. 植物遗传资源学报, 2015, 16(2):250-256.
	YOU Shumei, CAO Yingjiang, ZHENG Jiakui, et al. Principal component and cluster analysis for agronomic traits of 73 rice restorers lines in Asia[J]. Journal of Plant Genetic Resources, 2015, 16(2):250-256.
[21]	郑云霄, 刘文斯, 赵永锋, 等. 玉米种质资源的抗倒伏性评价及鉴定指标筛选[J]. 植物遗传资源学报, 2019, 20(6):238-246.
	ZHENG Yunxiao, LIU Wensi, ZHAO Yongfeng, et al. Evaluation of lodging resistance and selection of identification indexes of maize germplasm resources[J]. Journal of Plant Genetic Resources, 2019, 20(6):238-246.
[22]	周丽艳, 郭振清, 马玉玲, 等. 春小麦品种农艺性状的主成分分析与聚类分析[J]. 麦类作物学报, 2011, 31(6):1057-1062.
	ZHOU Liyan, GUO Zhenqing, MA Yuling, et al. Principal component and cluster analysis of different spring wheat cultivars based on agronomic traits[J]. Journal of Triticeae Crops, 2011, 31(6):1057-1062.
[23]	李飞, 王清连, 李成奇. 陆地棉品种(系)资源的主成分分析和聚类分析[J]. 江苏农业学报, 2015, 31(6):1211-1217.
	LI Fei, WANG Qinglian, LI Chengqi. Principal component and clustering analyses of upland cotton variety (line) resources[J]. Jiangsu Journal of Agricultural Sciences, 2015, 31(6):1211-1217.
[24]	李武, 谢德意, 赵付安, 等. 黄河流域棉花品种农艺性状的主成分及聚类分析[J]. 江苏农业科学, 2015, 43(8):82-85.
	LI Wu, XIE Deyi, ZHAO Fuan, et al. Principal components and cluster analysis of agronomic traits of cotton varieties in the Yellow River Basin[J]. Jiangsu Agricultural Sciences, 2015, 43(8):82-85.
[25]	刘翔宇, 吴久赟, 蒋立伟, 等. 新疆长绒棉新品系综合评价[J]. 作物杂志, 2015, (5):50-54.
	LIU Xiangyu, WU Jiuyun, JIANG Liwei, et al. Comprehensive evaluation of the long-fibre cotton new strains in Xinjiang[J]. Crops, 2015, (5):50-54.
[26]	李吉琴. 利用灰色关联度分析棉花品种展示[J]. 石河子科技, 2012, (201): 6-8.
	LI Jiqin. Analysis of cotton variety display with grey correlation degree[J]. Shihezi Technology, 2012, (201): 6-8.

性状 Trait	最小值 Minimum	最大值 Maximum	变异幅度 Range	平均数 Mean	变异系数(%) Coefficient of variation	标准差 Standard deviation
X₁	47.80	94.00	46.20	73.92	15.08	11.15
X₂	8.20	10.30	2.10	9.53	5.55	0.53
X₃	5.20	7.30	2.10	6.29	8.43	0.53
X₄	14.40	28.80	14.40	23.13	13.15	3.04
X₅	5.90	8.61	2.71	7.22	9.54	0.69
X₆	4.78	6.41	1.63	5.57	8.37	0.47
X₇	45.36	49.41	4.05	48.01	2.06	0.99
X₈	4 385.89	7 809.44	3 423.55	6 040.86	12.54	757.75
X₉	28.65	31.73	3.08	30.45	2.58	0.78
X₁₀	83.80	88.15	4.35	86.5	1.24	1.07
X₁₁	4.41	5.54	1.13	5.01	6.48	0.32
X₁₂	28.95	33.45	4.50	30.53	4.3	1.31
X₁₃	6.70	7.00	0.30	6.81	0.92	0.06
X₁₄	6.65	7.55	0.90	6.87	3.35	0.23

性状 Trait	最小值 Minimum	最大值 Maximum	变异幅度 Range	平均数 Mean	变异系数(%) Coefficient of variation	标准差 Standard deviation
X₁	47.80	94.00	46.20	73.92	15.08	11.15
X₂	8.20	10.30	2.10	9.53	5.55	0.53
X₃	5.20	7.30	2.10	6.29	8.43	0.53
X₄	14.40	28.80	14.40	23.13	13.15	3.04
X₅	5.90	8.61	2.71	7.22	9.54	0.69
X₆	4.78	6.41	1.63	5.57	8.37	0.47
X₇	45.36	49.41	4.05	48.01	2.06	0.99
X₈	4 385.89	7 809.44	3 423.55	6 040.86	12.54	757.75
X₉	28.65	31.73	3.08	30.45	2.58	0.78
X₁₀	83.80	88.15	4.35	86.5	1.24	1.07
X₁₁	4.41	5.54	1.13	5.01	6.48	0.32
X₁₂	28.95	33.45	4.50	30.53	4.3	1.31
X₁₃	6.70	7.00	0.30	6.81	0.92	0.06
X₁₄	6.65	7.55	0.90	6.87	3.35	0.23

性状 Traits	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀	X₁₁	X₁₂	X₁₃	X₁₄
X₁	1.00
X₂	0.47^*	1.00
X₃	0.08	0.11	1.00
X₄	0.86^**	0.44	0.12	1.00
X₅	0.33	0.35	0.03	0.31	1.00
X₆	0.40	0.19	-0.01	0.32	0.06	1.00
X₇	-0.37	-0.50^*	-0.14	-0.30	-0.21	-0.04	1.00
X₈	0.46^*	0.40	0.25	0.65^**	0.46^*	0.53^*	-0.14	1.00
X₉	-0.03	0.26	0.19	-0.01	-0.14	-0.49^*	-0.14	-0.29	1.00
X₁₀	0.35	0.02	0.10	0.26	-0.14	0.09	-0.07	-0.12	0.19	1.00
X₁₁	-0.30	-0.09	-0.14	-0.33	-0.18	0.41	-0.02	0.07	-0.46^*	-0.22	1.00
X₁₂	0.33	0.19	0.13	0.28	-0.30	-0.29	-0.33	-0.27	0.60^**	0.49^*	-0.48^*	1.00
X₁₃	0.49^*	0.21	0.05	0.39	-0.19	0.13	-0.13	-0.01	0.39	0.67^**	-0.45^*	0.59^**	1.00
X₁₄	0.26	0.09	-0.02	0.36	-0.03	0.52^*	-0.02	0.52^*	-0.33	-0.54^*	0.26	-0.25	-0.18	1.00

性状 Traits	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀	X₁₁	X₁₂	X₁₃	X₁₄
X₁	1.00
X₂	0.47^*	1.00
X₃	0.08	0.11	1.00
X₄	0.86^**	0.44	0.12	1.00
X₅	0.33	0.35	0.03	0.31	1.00
X₆	0.40	0.19	-0.01	0.32	0.06	1.00
X₇	-0.37	-0.50^*	-0.14	-0.30	-0.21	-0.04	1.00
X₈	0.46^*	0.40	0.25	0.65^**	0.46^*	0.53^*	-0.14	1.00
X₉	-0.03	0.26	0.19	-0.01	-0.14	-0.49^*	-0.14	-0.29	1.00
X₁₀	0.35	0.02	0.10	0.26	-0.14	0.09	-0.07	-0.12	0.19	1.00
X₁₁	-0.30	-0.09	-0.14	-0.33	-0.18	0.41	-0.02	0.07	-0.46^*	-0.22	1.00
X₁₂	0.33	0.19	0.13	0.28	-0.30	-0.29	-0.33	-0.27	0.60^**	0.49^*	-0.48^*	1.00
X₁₃	0.49^*	0.21	0.05	0.39	-0.19	0.13	-0.13	-0.01	0.39	0.67^**	-0.45^*	0.59^**	1.00
X₁₄	0.26	0.09	-0.02	0.36	-0.03	0.52^*	-0.02	0.52^*	-0.33	-0.54^*	0.26	-0.25	-0.18	1.00

性状 Traits	主成分Principal component
性状 Traits	成分1 Component 1	成分2 Component 2	成分3 Component 3	成分4 Component 4	成分5 Component 5	成分6 Component 6
X₁	0.443 0	0.139 6	0.107 1	-0.107 1	-0.042 4	-0.136 4
X₂	0.319 0	0.109 8	-0.302 6	0.268 0	-0.241 2	-0.044 3
X₃	0.128 0	-0.017 4	-0.167 3	0.138 9	0.418 9	0.806 9
X₄	0.430 4	0.178 7	0.044 6	-0.128 3	0.153 7	-0.135 4
X₅	0.141 8	0.216 2	-0.460 6	-0.467 2	-0.283 2	0.054 5
X₆	0.119 9	0.370 8	0.421 5	0.096 2	-0.099 0	0.131 5
X₇	-0.251 3	-0.032 8	0.261 9	-0.481 3	0.408 7	-0.033 5
X₈	0.229 4	0.400 7	-0.069 9	-0.111 8	0.178 8	0.177 8
X₉	0.155 9	-0.367 7	-0.259 2	0.216 4	0.202 0	-0.060 7
X₁₀	0.249	-0.249 8	0.404 6	-0.190 4	-0.295 4	0.316 8
X₁₁	-0.244 4	0.257 8	0.209 7	0.413 1	-0.336 6	0.196 1
X₁₂	0.288 5	-0.349 9	0.060 9	0.263	0.093 1	-0.132 9
X₁₃	0.346 1	-0.221	0.341 6	-0.035 3	0.022	-0.046 2
X₁₄	0.033 4	0.393 7	0.090 9	0.291 9	0.448 7	-0.307 7
特征值Eigenvalue	3.823 1	3.437 4	1.586 6	1.166 4	1.071 2	0.995 8
贡献率Proportion (%)	27.307 7	24.552 8	11.332 8	8.331 6	7.651 7	7.112 6
累计贡献率 Cumulative percentage (%)	27.307 7	51.860 6	63.193 4	71.525	79.176 7	86.289 4

Comprehensive evaluation of cotton yield and quality by principal component analysis and grey correlation analysis

主成分分析及灰色关联度分析综合评价棉花产量与品质

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References 26

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供试材料 Tested materials	F₁	F₂	F₃	F₄	F₅	F₆	综合得分 Comprehensive scores	排序 Rank
Z1112	1.166 8	0.250 1	0.441 3	-0.500 9	0.548 1	0.647 3	0.476 3	3
中棉所113 Zhongmiansuo 113	1.337 3	-0.174 7	0.710 5	0.260 4	0.244 9	0.400 3	0.471 7	4
K07-12	0.691 2	1.647 9	0.009 6	0.056 5	0.540 0	0.388 9	0.668 1	1
金科21 Jinke 21	0.493 5	0.361 5	0.357 6	0.12	0.485 4	0.492 4	0.346 2	10
Z1146	0.683 9	-0.07	0.117 2	-0.638 8	0.329 1	0.307 1	0.176 7	18
新陆早76号 Xinluzao 76	0.537 5	1.003 1	0.518 9	-0.379 6	-0.122 9	0.505 6	0.446 8	5
庄稼汉902 Zhuangjiahan 902	0.881 9	0.312 9	0.018 7	0.110 3	-0.306 7	0.292	0.326 3	11
天云0769 Tianyu 0769	0.812 6	-0.198 3	0.081 4	0.029 6	0.459 7	0.372 9	0.246 6	16
创棉508 Chuangmian 508	0.544 9	0.132 2	0.079 6	-0.097 9	0.004 5	0.113 6	0.190 5	17
中棉所88 Zhongmiansuo 88	0.625 7	0.534	0.859 1	-0.065 2	-0.146 5	0.796 1	0.439 3	6
中棉201 Zhongmian 201	0.364 8	0.637 2	0.450 6	-0.042 4	0.081	1.023	0.382 6	9
新陆早84号 Xinluzao 84	0.822 3	0.456 6	-0.100 5	-0.227 4	0.385 2	0.933 4	0.402 2	8
金科20 Jinke 20	0.477 5	0.342 8	0.045 5	0.310 7	0.363	0.334 1	0.297 2	15
中棉所92 Zhongmiansuo 92	0.655 2	0.983 2	0.924 1	0.282 2	0.229 3	0.306	0.587 9	2
新陆早71号 Xinluzao 71	0.310 4	0.584 7	0.401 6	-0.206 9	0.181 4	0.502 7	0.306 2	12
中棉所99 Zhongmiansuo 99	1.229 6	-0.093 4	-0.021	0.347 3	0.207 4	0.947	0.422 6	7
新陆早77号 Xinluzao 77	0.757 8	0.370 2	-0.08	-0.164 6	-0.244 2	0.576	0.297 3	14
中棉所109 Zhongmiansuo 109	0.816 3	0.126 5	0.341 9	-0.393	0.301	0.299 6	0.304 3	13
NH12026	0.133 1	-0.217 2	0.627 4	-0.043 4	0.410 5	0.549 7	0.121	19

供试材料 Tested materials	株高 Plant height	果枝数 Fruiting branches	始果节位 First fruiting branch	始果节高 Height of first fruiting node	单株结铃数 Number of bolls per plant	单铃重 Boll weight	衣分 Lint percentage	籽棉产量 Yield	纤维长度 Fiber length	整齐度指数 Uniformity index	马克隆值 Micronaire	断裂比强度 Fibre strength	伸长率 Elongation	短纤维指数 Short fiber index
Z1112	85.50	9.20	6.70	28.80	7.55	5.62	48.54	7 296.30	30.98	87.95	4.53	31.15	6.90	6.85
中棉所113 Zhongmiansuo 113	74.00	9.90	5.90	23.60	7.05	5.49	49.23	5 945.27	30.53	86.80	4.54	30.50	6.85	6.75
K07-12	86.50	9.90	6.60	26.10	8.27	6.41	47.27	7 809.44	29.78	83.80	5.03	28.95	6.75	7.55
金科21Jinke 21	76.00	9.50	6.50	22.80	6.63	5.21	48.87	5 918.93	30.97	86.30	5.28	30.15	6.80	7.10
Z1146	81.50	9.00	6.10	25.20	7.93	5.11	48.75	5 213.81	30.88	86.95	4.41	30.85	6.80	6.70
新陆早76号 Xinluzao 76	84.50	9.90	5.90	24.80	7.81	6.00	48.58	6 688.26	28.65	86.60	5.22	29.35	6.80	6.85
庄稼汉902 Zhuangjiahan 902	81.90	10.00	5.70	24.50	7.50	5.26	45.36	5 966.34	30.39	86.85	4.96	30.75	6.80	6.75
天云0769 Tianyu 0769	77.60	9.20	6.60	23.80	7.05	4.78	47.51	5 399.03	30.56	86.25	4.70	33.45	6.80	6.85
创棉508 Chuangmian 508	58.10	9.30	5.20	20.50	7.42	4.98	48.09	5 872.10	30.96	85.60	5.16	30.40	6.80	6.75
中棉所88 Zhongmiansuo 88	76.60	9.20	6.20	22.30	7.27	6.31	48.27	6 109.42	30.12	88.00	5.54	30.30	6.85	6.75
中棉201 Zhongmian 201	70.70	8.90	7.00	22.00	6.99	5.68	47.54	6 002.57	29.31	86.65	5.41	29.00	6.75	6.75
新陆早84号 Xinluzao 84	61.70	9.80	7.20	22.10	7.75	5.28	48.26	6 711.68	30.43	86.05	4.88	29.15	6.80	6.80
金科20 Jinke 20	63.80	9.80	6.20	21.80	6.60	5.31	48.23	5 485.74	31.24	84.60	5.25	30.05	6.75	6.95
中棉所92 Zhongmiansuo 92	70.30	10.30	7.30	23.20	7.07	5.43	46.82	6 228.68	31.73	87.40	4.97	32.65	6.80	6.65
新陆早71号 Xinluzao 71	65.30	9.30	5.90	20.50	7.09	5.74	49.41	6 187.33	30.09	86.25	5.22	29.55	6.70	6.85
中棉所99 Zhongmiansuo 99	73.90	9.40	5.80	26.10	6.38	6.36	47.86	6 340.42	29.37	86.65	5.43	30.50	6.80	7.35
新陆早77号 Xinluzao 77	74.70	10.10	6.20	21.00	8.61	5.61	47.29	5 479.31	30.79	86.60	5.06	30.00	6.80	6.70
中棉所109 Zhongmiansuo 109	94.00	10.20	6.40	25.90	6.34	5.98	47.12	5 735.79	31.56	88.15	4.68	33.25	7.00	6.85
NH12026	47.80	8.20	6.20	14.40	5.90	5.32	49.19	4 385.89	30.28	86.05	5.00	30.00	6.80	6.75
理想品种	78.50	10.40	6.00	23.90	8.70	6.50	49.50	7 850.00	31.90	88.20	4.20	33.50	7.00	6.70

供试材料 Tested materials	株高 Plant height	果枝数 Fruiting branches	始果节位 First fruiting branch	始果节高 Height of first fruiting node	单株结铃数 Number of bolls per plant	单铃重 Boll weight	衣分 Lint percentage	籽棉产量 Yield	纤维长度 Fiber length	整齐度指数 Uniformity index	马克隆值 Micronaire	断裂比强度 Fibre strength	伸长率 Elongation	短纤维指数 Short fiber index
Z1112	0.762 3	0.485 5	0.604 7	0.555 2	0.572 1	0.538 0	0.686 3	0.757 8	0.648 8	0.901 4	0.695 2	0.557 9	0.643 1	0.759 4
中棉所113 Zhongmiansuo 113	0.833 0	0.693 7	0.914 6	0.953 2	0.483 4	0.504 3	0.887 8	0.476 3	0.555 0	0.620 1	0.688 7	0.497 1	0.827 7	0.904 5
K07-12	0.737 2	0.693 7	0.640 9	0.735 4	0.781 6	0.922 9	0.485 2	0.977 1	0.445 7	0.341 9	0.473 3	0.394 5	0.673 1	0.357 8
金科21Jinke 21	0.899 8	0.557 2	0.681 7	0.847 5	0.426 7	0.443 1	0.768 3	0.472 8	0.646 4	0.546 0	0.407 0	0.469 5	0.878 1	0.542 1
Z1146	0.882 1	0.447 2	0.914 6	0.824 7	0.668 7	0.425 9	0.736 3	0.396 5	0.626 2	0.646 4	0.779 2	0.528 1	0.878 1	1.000 0
新陆早76号 Xinluzao 76	0.789 1	0.693 7	0.914 6	0.871 7	0.633 7	0.672 2	0.696 0	0.598 5	0.344 3	0.588 2	0.420 9	0.416 7	0.878 1	0.759 4
庄稼汉902 Zhuangjiahan 902	0.868 4	0.739 0	0.781 1	0.910 7	0.562 2	0.454 4	0.336 8	0.479 0	0.530 1	0.628 7	0.493 8	0.518 8	0.878 1	0.904 5
天云0769 Tianyu 0769	0.961 4	0.485 5	0.640 9	0.983 9	0.483 2	0.374 7	0.513 7	0.414 1	0.560 5	0.539 6	0.597 2	0.983 4	0.878 1	0.759 4
创棉508 Chuangmian 508	0.523 8	0.507 3	0.572 4	0.642 7	0.546 3	0.404 1	0.598 8	0.466 9	0.645 1	0.467 8	0.435 7	0.488 9	0.878 1	0.904 5
中棉所88 Zhongmiansuo 88	0.921 9	0.485 5	0.842 6	0.792 6	0.519 0	0.844 2	0.631 1	0.498 8	0.489 1	0.919 5	0.356 2	0.480 9	0.827 7	0.904 5
中棉201 Zhongmian 201	0.742 1	0.430 2	0.517 1	0.762 9	0.475 3	0.556 6	0.516 6	0.483 9	0.397 5	0.595 9	0.380 9	0.397 2	0.673 1	0.904 5
新陆早84号 Xinluzao 84	0.571 9	0.653 7	0.471 5	0.772 6	0.618 0	0.456 8	0.628 1	0.603 4	0.537 6	0.515 3	0.521 5	0.405 3	0.878 1	0.825 6
金科20 Jinke 20	0.604 2	0.653 7	0.842 6	0.744 4	0.423 2	0.464 3	0.623 2	0.422 8	0.719 9	0.388 3	0.415 0	0.462 2	0.673 1	0.654 5
中棉所92 Zhongmiansuo 92	0.732 4	0.918 9	0.451 6	0.897 3	0.485 9	0.491 3	0.439 0	0.516 5	0.909 5	0.740 7	0.490 5	0.777 2	0.878 1	0.904 5
新陆早71号 Xinluzao 71	0.629 7	0.507 3	0.914 6	0.642 7	0.488 8	0.576 6	0.958 0	0.510 2	0.485 6	0.539 6	0.422 1	0.428 8	0.545 7	0.759 4
中棉所99 Zhongmiansuo 99	0.829 9	0.531 1	0.842 6	0.735 4	0.399 4	0.877 3	0.561 6	0.534 3	0.402 7	0.595 9	0.377 0	0.497 1	0.878 1	0.421 5
新陆早77号 Xinluzao 77	0.855 2	0.790 6	0.842 6	0.678 3	0.947 8	0.536 9	0.487 4	0.422 2	0.605 2	0.588 2	0.462 9	0.458 6	0.878 1	1.000 0
中棉所109 Zhongmiansuo 109	0.591 5	0.849 9	0.728 0	0.753 6	0.395 7	0.664 4	0.469 2	0.450 3	0.834 0	0.978 6	0.609 5	0.922 3	0.444 7	0.759 4
NH12026	0.422 3	0.339 8	0.842 6	0.391 6	0.355 1	0.465 5	0.871 9	0.333 3	0.513 4	0.515 3	0.482 5	0.458 6	0.878 1	0.904 5
权重	0.04	0.08	0.04	0.04	0.08	0.08	0.08	0.24	0.08	0.04	0.04	0.08	0.04	0.04

供试材料 Tested materials	加权关联度 Weighted incidence degree value	关联序 Relational order
Z1112	0.657 8	2
中棉所113Zhongmiansuo 113	0.633 7	4
K07-12	0.690 8	1
金科21Jinke 21	0.570 5	15
Z1146	0.606 8	9
新陆早76号Xinluzao 76	0.629 1	6
庄稼汉902Zhuangjiahan 902	0.584 9	12
天云0769Tianyu 0769	0.585 9	11
创棉508Chuangmian 508	0.544 3	16
中棉所88Zhongmiansuo 88	0.618 3	8
中棉201Zhongmian 201	0.521 1	18
新陆早84号Xinluzao 84	0.591 0	10
金科20Jinke 20	0.542 1	17
中棉所92Zhongmiansuo 92	0.649 5	3
新陆早71号Xinluzao 71	0.576 2	14
中棉所99Zhongmiansuo 99	0.577 0	13
新陆早77号Xinluzao 77	0.619 6	7
中棉所109Zhongmiansuo 109	0.633 5	5
NH12026	0.497 8	19

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