Crops ›› 2021, Vol. 37 ›› Issue (5): 57-63.doi: 10.16035/j.issn.1001-7283.2021.05.009

Previous Articles     Next Articles

Phenotypic Analysis and Comprehensive Evaluation of Soybean Strains in Jianghan Plain of China

Liu Xin(), Yang Fang, Deng Junbo(), Wang Aiai, He Nian, Chen Yan   

  1. Jingmen (China Valley) Academy of Agricultural Sciences, Jingmen 448000, Hubei, China
  • Received:2020-11-18 Revised:2021-06-21 Online:2021-10-15 Published:2021-10-14
  • Contact: Deng Junbo E-mail:xliu0816@126.com;403372610@qq.com

Abstract:

Germplasm resources are the basis of soybean genetic breeding and theoretical methods are the key to variety selection. In this study, 64 soybean strains were used as materials combined with multivariate analysis methods such as variability analysis, correlation analysis, factor analysis, and cluster analysis to study the ten agronomic traits and yield traits of soybean strains and select suitable Jianghan Plain soybean strains planted in the region, exploring the key factors affecting soybean yield, aiming to provide excellent germplasm and theoretical basis for the selection and breeding of high-quality and high-yield soybean varieties. The results showed that the variation of the ten agronomic traits of soybean strains ranged from 4.19% to 46.95%, the variation coefficient of effective branches number was the largest, and the variation coefficient of protein content was the smallest. The factor analysis showed that the ten agronomic traits were transformed into four common factors which were named component factor, plant height factor, grain weight factor, and quality factor and the accumulative contribution rate was 80.067%. The results of correlation analysis between phenotypic traits and comprehensive scores showed that seven agronomic traits, including growth period, plant height, main stem nodes number, pods number per plant, seed number per plant, seed weight per plant and protein content could be used as comprehensive soybean strain evaluation indexes. The total of 64 soybean strains were divided into three clusters by cluster analysis. Cluster Ⅰ had 31 soybean strains, cluster Ⅱ had 24 soybean strains, and cluster Ⅲ had nine soybean strains. Among them, the soybean strains in cluster Ⅲ showed better comprehensive performance and were suitable for planting in Jianghan Plain.

Key words: Soybean strains, Jianghan Plain, Factor analysis, Cluster analysis, Comprehensive evaluation

Table 1

Statistical analysis of main agronomic traits"

性状
Trait
最小值
Min.
最大值
Max.
平均值
Mean
标准差
Standard deviation
变异幅度
Variation range
变异系数
Variation coefficient (%)
生育期Growth period (d) 78.00 109.00 93.09 7.01 31.00 7.53
株高Plant height (cm) 41.10 156.20 73.92 20.72 115.10 28.03
主茎节数Main stem nodes number 8.50 22.10 13.58 2.60 13.60 19.18
有效分枝数Effective branches number 0.20 4.20 1.86 0.87 4.00 46.95
单株荚数Pod number per plant 21.30 65.60 38.64 9.57 44.30 24.75
单株粒数Seed number per plant 47.50 147.70 84.14 20.69 100.20 24.59
百粒重100-seed weight (g) 15.03 28.83 21.04 2.84 15.82 13.49
单株粒重Seed weight per plant (g) 10.08 25.90 16.56 3.71 13.80 22.38
蛋白质含量Protein content (%) 38.20 48.20 43.27 1.81 10.00 4.19
脂肪含量Fat content (%) 17.10 25.30 21.64 1.57 8.20 7.25

Table 2

Correlative coefficients of agronomic and yield traits"

性状Trait X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 Y
X1 1
X2 0.362** 1
X3 0.684** 0.750** 1
X4 -0.303* 0.027 -0.223 1
X5 0.333** 0.405** 0.416** 0.229 1
X6 0.126 0.417** 0.343** 0.177 0.888** 1
X7 -0.215 -0.187 -0.431** 0.041 -0.420** -0.379** 1
X8 -0.074 0.234 0.008 0.289* 0.640** 0.761** 0.206 1
X9 0.338** 0.152 0.256* 0.048 0.475** 0.388** -0.359** 0.207 1
X10 0.067 -0.053 0.124 -0.240 -0.050 -0.029 -0.009 0.015 -0.375** 1
Y -0.274* 0.140 -0.053 0.153 0.375** 0.534** 0.059 0.672** 0.218 0.060 1

Table 3

The eigenvalue, contribution rate and accumulative contribution rate of the primary factors"

主因子
Primary
factor
提取载荷平方和Sum of square load 旋转平方载荷总和Sum of rotation square load
特征值
Eigenvalue
贡献率
Contribution
rate (%)
累计贡献率
Accumulative
contribution rate (%)
特征值
Eigenvalue
贡献率
Contribution
rate (%)
累计贡献率
Accumulative
contribution rate (%)
F1 3.624 36.238 36.238 2.659 26.593 26.593
F2 2.076 20.760 56.998 2.378 23.777 50.370
F3 1.332 13.319 70.317 1.602 16.016 66.386
F4 0.975 9.750 80.067 1.368 13.680 80.067

Table 4

The rotation of the sub-load matrix"

指标Index F1 F2 F3 F4
生育期Growth period -0.087 0.782 0.254 -0.018
株高Plant height 0.328 0.808 -0.115 0.095
主茎节数Main stem nodes number 0.106 0.906 0.249 -0.103
有效分枝数Effective branches number 0.442 -0.316 -0.158 0.429
单株荚数Pod number per plant 0.804 0.289 0.414 0.078
单株粒数Seed number per plant 0.886 0.196 0.331 0.005
百粒重100-seed weight -0.054 -0.160 -0.893 0.047
单株粒重Seed weight per plant 0.924 -0.007 -0.192 0.019
蛋白质含量Protein content 0.221 0.211 0.567 0.537
脂肪含量Fat content 0.051 0.020 -0.012 -0.931

Table 5

The ranking of comprehensive principal component value of agronomic traits"

大豆品系Soybean strain 编号Code F1 F2 F3 F4 综合得分Overall score 排名Ranking
南农G175 45 2.010 -0.027 2.224 -0.201 1.070 1
NJ1908 59 0.384 2.334 0.812 0.223 1.021 2
油春X18-46 20 0.803 -0.172 1.097 3.277 0.995 3
南农1803 61 0.340 4.115 -2.358 0.733 0.988 4
南农W1901 53 1.388 1.748 1.093 -1.327 0.972 5
南农1806 49 0.304 1.440 1.321 -0.496 0.708 6
淮品17-04 39 0.712 -0.003 1.031 1.002 0.613 7
南农1901 55 0.228 0.984 0.919 0.273 0.598 8
油春18-33 5 2.472 0.375 -1.626 -0.072 0.595 9
南农1902 50 1.075 0.467 1.386 -1.272 0.556 10
淮品17-23 42 -0.450 1.168 0.196 1.502 0.493 11
淮品17-03 38 -0.327 0.792 1.281 0.240 0.424 12
南农1804 48 -0.171 1.164 0.500 -0.006 0.388 13
油春13-7 1 1.585 -0.216 0.035 -0.578 0.370 14
南农1909 52 1.391 0.331 -0.607 -0.424 0.367 15
南农17202 36 -0.408 0.301 1.381 0.703 0.350 16
南农57 62 -0.340 1.205 0.262 0.243 0.339 17
油春18-779 16 0.509 -0.170 -0.812 2.007 0.299 18
南农17005 31 -0.730 0.316 1.002 1.402 0.291 19
油春18-741 15 1.640 -0.650 -1.001 0.745 0.279 20
淮品17-32 43 0.372 -0.432 0.784 0.602 0.255 21
油春18-717 14 1.790 -1.140 -0.257 0.256 0.248 22
油春18-712 13 0.952 -0.806 -1.032 2.141 0.236 23
南农17119 34 -0.428 -0.522 1.328 1.284 0.188 24
淮品17-07 40 -0.193 0.770 -0.261 0.395 0.180 25
油春X18-20 17 0.752 -0.627 0.864 -0.347 0.177 26
油春X18-26 18 0.035 -0.455 0.166 1.473 0.162 27
南农17399 37 -0.411 1.079 -0.021 -0.190 0.147 28
油春18-52 12 0.297 -1.001 0.637 1.252 0.143 29
油春18-7 2 1.513 -0.915 -0.106 -0.528 0.119 30
南农1801 47 1.062 -0.306 0.544 -1.535 0.109 31
南农1903 51 0.270 0.435 0.155 -1.003 0.078 32
南农G7-1 44 0.977 -0.509 0.283 -1.209 0.023 33
油春X18-29 19 -0.074 0.449 -0.426 -0.066 0.012 34
淮品17-10 41 -0.620 0.208 -0.193 0.960 -0.018 35
油春18-36 6 0.877 -0.898 -0.189 -0.031 -0.019 36
油春18-49 10 0.335 0.861 -2.567 0.271 -0.100 37
南农17087 33 -0.071 -0.712 0.751 -0.449 -0.161 38
HJ1915 58 -1.192 0.913 -0.310 0.030 -0.182 39
南农1805 57 -0.526 0.093 0.911 -1.369 -0.198 40
南农17045 32 -0.083 -0.740 0.577 -0.547 -0.226 41
油春18-40 7 -0.526 -0.580 -0.114 0.712 -0.248 42
DP19301 64 -0.498 0.299 -0.345 -0.692 -0.264 43
南农17201 35 -0.905 0.145 0.109 -0.588 -0.336 44
油春18-29 4 0.379 -0.791 -1.201 -0.057 -0.359 45
南农1904 54 -0.557 0.027 -0.038 -1.196 -0.389 46
南农G178 46 0.488 -0.686 0.031 -2.092 -0.393 47
DP19085 63 -1.424 1.116 -0.467 -1.089 -0.421 48
大豆品系Soybean strain 编号Code F1 F2 F3 F4 综合得分Overall rating 排名Ranking
油春X18-5 25 -1.835 -0.307 0.762 0.612 -0.444 49
油春15-1 11 0.951 -0.698 -2.495 -0.340 -0.448 50
南农1906 56 -0.978 0.656 -0.206 -2.099 -0.530 51
油春18-43 8 -0.662 -1.151 -0.161 0.114 -0.574 52
油春18-15 22 -0.904 -0.955 -0.129 0.168 -0.581 53
油春18-34 26 -1.421 0.360 -1.844 0.620 -0.628 54
油春19-13 21 -1.098 -1.287 0.743 -0.203 -0.633 55
油春18-3 29 -0.862 -0.589 -0.297 -0.665 -0.634 56
油春17-30 27 -1.378 -0.213 0.340 -1.150 -0.649 57
油春19-1 30 -1.206 -1.434 0.540 0.377 -0.654 58
南农1802 60 -1.614 0.209 -0.380 -0.672 -0.665 59
油春19-8 23 -1.003 -1.400 0.222 0.056 -0.695 60
油春19-2 24 -1.602 -0.692 -0.417 0.320 -0.767 61
油春19-4 28 -1.653 -0.147 -1.194 0.192 -0.799 62
油春18-9 3 0.384 -1.670 -1.226 -1.156 -0.811 63
油春18-45 9 -0.127 -1.459 -2.002 -0.533 -0.967 64

Table 6

Correlation coefficients between agronomic traits and comprehensive scores"

性状Trait 综合得分
Comprehensive score
生育期Growth period 0.486**
株高Plant height 0.661**
主茎节数Main stem nodes number 0.650**
有效分枝数Effective branches number 0.183
单株荚数Pod number per plant 0.868**
单株粒数Seed number per plant 0.811**
百粒重100-seed weight -0.456**
单株粒重Seed weight per plant 0.521**
蛋白质含量Protein content 0.659**
脂肪含量Fat content -0.268*

Fig.1

Clustering chart of agronomic and yield traits of soybean strains"

Fig.2

Box-plots for six traits in three clusters of soybean strains"

[1] 崔宁波, 刘望. 全球大豆贸易格局变化对我国大豆产业的影响及对策选择. 大豆科学, 2019, 38(4):629-634.
[2] 赵团结, 盖钧镒, 李海旺, 等. 超高产大豆育种研究的进展与讨论. 中国农业科学, 2006, 39(1):29-37.
[3] 刘明, 卜伟召, 杨文钰, 等. 山东间作大豆产量与主要农艺性状关联分析. 中国油料作物学报, 2018, 40(3):344-351.
[4] 王一, 杨文钰, 张霞, 等. 不同生育遮阴时期对大豆形态性状和产量的影响. 作物学报, 2013, 39(10):1871-1879.
doi: 10.3724/SP.J.1006.2013.01871
[5] Wang J C, Yao L R, Li B C, et al. Comparative proteomic analysis of cultured suspension cells of the halophyte halogeton glomeratus by iTRAQ provides insights into response mechanisms to salt stress. Frontiers in Plant Science, 2016, 7:110.
[6] 王燕平, 宗春美, 孙晓环, 等. 东北春大豆种质资源表型分析及综合评价. 植物遗传资源学报, 2017, 18(5):837-845,859.
[7] 韩秉进, 潘相文, 金剑, 等. 大豆农艺及产量性状的主成分分析. 大豆科学, 2008, 27(1):67-73.
[8] 周恩远, 刘丽君, 祖伟, 等. 春大豆农艺性状与品质相关关系的研究. 东北农业大学学报, 2008, 39(2):145-149.
[9] 张海燕, 焦碧婵, 李贵全. 大豆产量及其相关数量性状关系的分析. 山西农业科学, 2006, 34(2):27-29.
[10] 胡国玉, 张丽亚, 黄志平, 等. 黄淮夏大豆种质资源农艺性状的评价. 大豆科学, 2008, 27(2):215-220.
[11] 韩毅强, 杜吉到, 郑殿峰, 等. 黑龙江省西部半干旱地区大豆性状的相关性和主成分分析. 安徽农业科学, 2012(19):10059-10060.
[12] 晁毛妮, 郝德荣, 印志同, 等. 大豆生物量与产量组分间的相关及关联分析. 作物学报, 2014, 40(1):7-16.
[13] 谭千军, 吴雨珊, 刘卫国, 等. 西南夏大豆种质资源的筛选与鉴定. 大豆科学, 2015, 34(6):921-926.
[14] 赵海东, 冯乃杰, 郑殿峰, 等. 东北北部高寒区大豆品系因子分析及综合评价. 大豆科学, 2018, 37(3):329-336.
[15] 邱丽娟, 常汝镇. 大豆种质资源描述规范和数据标准. 北京: 中国农业出版社, 2006.
[16] 周桂梅, 刘振兴, 陈健, 等. 小豆品种形态特征研究及综合评价. 植物遗传资源学报, 2014, 15(5):1144-1149.
[17] 邱丽娟, 常汝镇, 袁翠平, 等. 国外大豆种质资源的基因挖掘利用现状与展望. 植物遗传资源学报, 2006, 7(1):1-6.
[18] 邱丽娟, 李英慧, 关荣霞, 等. 大豆核心种质和微核心种质的构建、验证与研究进展. 作物学报, 2009, 35(4):571-579.
[19] 孙亚东, 梁燕, 吴江敏, 等. 番茄种质资源的遗传多样性和聚类分析. 西北农业学报, 2009, 18(5):297-301.
[20] 刘念析, 李穆, 秀平, 等. 大豆主要农艺性状间的相关性分析. 大豆科学, 2013, 32(4):570-572.
[21] 梁江, 陈渊, 程伟东. 大豆主要农艺性状相关及通径分析. 广西农业科学, 2000(3):126-128.
[22] 刘亚娜, 杨小红, 耿阳阳, 等. 不同野生榛子果实特性及营养成分分析. 中国粮油学报, 2020, 11(17):1-6.
[23] 曲志华, 白苇, 张丽丽, 等. 170份亚麻种质资源主要农艺性状分析. 作物杂志, 2019(4):77-83.
[24] 杨航, 于二汝, 魏忠芬, 等. 贵州地方芝麻种质资源品质性状的分析与评价. 植物遗传资源学报, 2020, 21(2):369-376.
[25] 白苇, 胡杨, 杨素梅, 等. 冀西北食葵地方资源农艺性状分析. 作物杂志, 2021(1):54-59.
[1] Wang Yuting, Miao Xingfen, Wang Di. Screening and Evaluation of Atrazine-Resistant Germplasm Resources of Foxtail Millet at Germination Stage [J]. Crops, 2021, 37(5): 194-204.
[2] Qi Xiaolei, Li Xingfeng, Lü Guangde, Wang Ruixia, Wang Jun, Sun Xianyin, Sun Yingying, Chen Yongjun, Qian Zhaoguo, Wu Ke. Genetic Analysis of Taishan/Taikemai Serial Wheat Based on SNP Molecular Markers [J]. Crops, 2021, 37(5): 64-71.
[3] Zhang Quanfang, Jiang Mingsong, Chen Feng, Zhu Wenyin, Zhou Xuebiao, Yang Lianqun, Xu Jiandi. Analysis of Genetic Diversity of Rice Varieties (Lines) in Shandong Province [J]. Crops, 2021, 37(4): 26-31.
[4] Guo Qiang, Ma Wenqing, Qin Changxian, Shi Zesheng, Peng Chong, Bi Dejin, He Hongliang, Liang Yongjian, Tang Liqiu. Comprehensive Evaluation of New Sugarcane Clones by DTOPSIS Method [J]. Crops, 2021, 37(4): 32-37.
[5] Du Xiaoyu, Li Nannan, Zou Shaokui, Wang Lina, Lü Yongjun, Zhang Qian, Li Shuncheng, Yang Guangyu, Han Yulin. Comprehensive Analysis of Main Traits of Newly Bred Wheat Varieties (Lines) in Southern Huang-Huai Region [J]. Crops, 2021, 37(4): 38-45.
[6] Feng Yanfei, Yang Wei, Ren Guoxin, Deng Jie, Li Wenlong, Gao Shuren. Comprehensive Evaluation of Some Maize Hybrids in Heilongjiang Province [J]. Crops, 2021, 37(4): 46-50.
[7] Li Zilin, Lu Yachun, Zhao Leifeng, Fan Dongsheng, Wei Zhong, Zhou Wenliang, Huang Liguang, Huang Yang, Huang Jingpeng, Gu Xinquan, Nian Fuzhao. Comprehensive Evaluation of the Suitability of Tobacco Planting Soil Fertility in Jingxi City [J]. Crops, 2021, 37(3): 155-160.
[8] Qu Xiangchun, Wang Nai, Shi Guishan, Yu Miao, Li Haiqing, Gao Yue, Xu Ning, Chen Bingru. Application in Similarity-Difference Analysis Method on Evaluation of Grain Sorghum Hybrids [J]. Crops, 2021, 37(3): 46-50.
[9] Zhou Qilong. Grey Relational Grade Evaluation of 19 Oat Varieties Introduced in Ali of Tibet [J]. Crops, 2021, 37(1): 26-31.
[10] Bai Wei, Hu Yang, Yang Sumei, Zhang Baoying, Cui Jinli, Jin Tao, Bai Haihua. Analysis on Agronomic Characteristics of Confectionery Sunflower Local Resources in Northwest Hebei [J]. Crops, 2021, 37(1): 54-59.
[11] Gao Jie, Feng Guangcai, Li Xiaorong, Li Qingfeng, Peng Qiu. Phenotypic Diversity and Clustering Analysis of Sorghum Germplasm Resources in Different Regions of Guizhou Province [J]. Crops, 2020, 36(6): 54-60.
[12] Yang Xuele, Zhang Lu, Li Zhiqing, He Luqiu. Diversity Analysis of Tartary Buckwheat Germplasms Based on Phenotypic Traits [J]. Crops, 2020, 36(5): 53-58.
[13] Sun Daowang, Wang Yanqing, Hong Bo, Lu Wenjie, Yin Guifang, Wang Lihua. Principal Component Analysis and Cluster Analysis of Agronomic Traits of Winter Sowing Oats in Yunnan [J]. Crops, 2020, 36(5): 80-87.
[14] Zhang Yang, Zhang Wei, Zhao Weijun, Shao Rongfeng, Wang Guan, Xue Dingding, Li Jinmei. Variety Screening and Study of Cultivation Technology for Forage Triticale Varieties Based on Principal Component and Grey Relation Analysis [J]. Crops, 2020, 36(3): 117-124.
[15] Chang Shihao, Yang Qingchun, Shu Wentao, Li Jinhua, Li Qiong, Zhang Baoliang, Zhang Donghui, Geng Zhen. Comprehensive Analysis of Main Agronomic Traits of Summer Sowing Soybean Varieties (Lines) in Huang-Huai-Hai Region [J]. Crops, 2020, 36(3): 66-72.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!