Genetics and Quality of Germplasms of Spring Soybeans for Fresh Consumption

LIN Wenlei; LV Meiqin; LI Mingsong; SHI Yingying; KANG Rongrong; ZENG Hongying

doi:10.19303/j.issn.1008-0384.2024.03.005

Volume 39 Issue 3

Mar. 2024

Turn off MathJax

Article Contents

Article Navigation > Fujian Journal of Agricultural Sciences > 2024 > 39(3): 276-289

LIN W L, LV M Q, LI M S, et al. Genetics and Quality of Germplasms of Spring Soybeans for Fresh Consumption [J]. Fujian Journal of Agricultural Sciences，2024，39（3）：276−289 doi: 10.19303/j.issn.1008-0384.2024.03.005

Citation:

LIN W L, LV M Q, LI M S, et al. Genetics and Quality of Germplasms of Spring Soybeans for Fresh Consumption [J]. Fujian Journal of Agricultural Sciences，2024，39（3）：276−289 doi: 10.19303/j.issn.1008-0384.2024.03.005

Citation:

PDF( 899 KB)

Genetics and Quality of Germplasms of Spring Soybeans for Fresh Consumption

doi: 10.19303/j.issn.1008-0384.2024.03.005

Quanzhou Institute of Agricultural Sciences, Quanzhou, Fujian　362212, China

Received Date: 2023-07-10
Accepted Date: 2024-02-27
Rev Recd Date: 2024-01-15

Available Online: 2024-03-28

Publish Date: 2024-03-28

Abstract

Abstract

Objective Genetics and quality of a variety of germplasms of spring soybeans for fresh consumption were studied and evaluated for breeding and production in Fujian province. Method Descriptive statistics and analyses of variation, correlation, principal components, and clustering were applied to study the genetics of 47 germplasms. Seven phenotypic and 13 agronomic traits were selected to evaluate the quality of the spring soybeans for fresh consumption. Result Aside from plant type and podding habit, phenotypic traits differentiated significantly among the 47 germplasms. There were distinctive differences on 13 agronomic traits with variation coefficients ranging from 7.49% to 38.07%. Among them, the coefficient on the bottom pod height was the largest and that on the standard pod length the smallest. Significant correlations were found between (1) plant height and bottom pod height, number of effective branches, pod weight per plant, and standard pod yield, (2) stem girth and pod weight per plant, standard pod yield, and number of effective branches, (3) count of effective branches and pod weight per plant, standard pod yield, and fresh pod yield, (4) effective and standard pod counts per plant and pod weight per plant, and (5) pod weight per plant and standard and fresh pod yields. The CASAR normalized maximum variance rotational principal component analysis indicated that the 13 agronomic traits provided 73.677% information describing 4 major factors on pod yield, pod number, plant type, and pod shape of the plants. Based on the principal factor characteristic vector and corresponding characteristic root and the comprehensive principal component score on each of and the Euclidean distances among the 47 germplasms calculated from the standardized data on 13 agronomic traits, the method of the sum of squared deviations divided the 47 germplasms into 2 major categories and 2 sub-categories, whereas the cluster analysis classified them into 3 major categories and 2 sub-categories. The two methods drew a generally agreeable conclusion. Based on the scores of top 10 principal components, standard pod yield, and fresh pod yield of the cultivars, Nannong 1821, Mindou No. 14, Xinghuadou No. 8, Xinghua 618, Mindou No. 10, Xinghuadou No. 9, Xinghuadou No. 4, and Xinghuadou No. 3 were the choice high-quality, high-yield germplasms of spring soybeans for fresh consumption. Conclusion Of 47 spring soybean germplasms, 8 stood out as the most desirable cultivars for fresh consumption. They were also highly diversified genetically for being used as parents or intermediate materials in breeding new varieties.
- Spring soybean for fresh consumption,
- phenotypic analysis,
- genetic analysis,
- comprehensive evaluation

FullText(HTML)

References(34)

References

[1]	杨加银, 徐海风, 程保山, 等. 菜用大豆新品种淮鲜豆5号的选育 [J]. 中国蔬菜, 2016, (1):78−80. doi: 10.3969/j.issn.1000-6346.2016.01.017 YANG J Y, XU H F, CHENG B S, et al. A new vegetable soybean variety—‘Huaixiandou No. 5’ [J]. China Vegetables, 2016(1): 78−80. (in Chinese) doi: 10.3969/j.issn.1000-6346.2016.01.017
[2]	顾卫红, 郑洪建, 张燕, 等. 菜用大豆的国际需求及科研生产动态 [J]. 上海农业学报, 2002, 18(2):45−48. doi: 10.3969/j.issn.1000-3924.2002.02.011 GU W H, ZHENG H J, ZHANG Y, et al. Trends in production, demand and scientific researches on vegetable soybean[Glycine max (L. ) Merr. ]at home and abroad [J]. Acta Agriculturae Shanghai, 2002, 18(2): 45−48. (in Chinese) doi: 10.3969/j.issn.1000-3924.2002.02.011
[3]	胡润芳, 林栩松, 王志纯, 等. 菜用大豆闽豆6号的选育 [J]. 福建农业学报, 2016, 31(7):714−718. HU R F, LIN X S, WANG Z C, et al. Breeding a soybean variety for vegetable-Mindou No. 6 and its yield characteristics [J]. Fujian Journal of Agricultural Sciences, 2016, 31(7): 714−718. (in Chinese)
[4]	白琼岩, 杨恩庶, 冯桂真, 等. 中国菜用大豆研究进展 [J]. 中国农学通报, 2006, 22(8):377−380. doi: 10.3969/j.issn.1000-6850.2006.08.095 BAI Q Y, YANG E S, FENG G Z, et al. Research advances of China vegetable soybean [J]. Chinese Agricultural Science Bulletin, 2006, 22(8): 377−380. (in Chinese) doi: 10.3969/j.issn.1000-6850.2006.08.095
[5]	李清华, 蒋文广, 林海峰, 等. 菜用大豆新品种‘兴化豆1号’的选育 [J]. 福建农业学报, 2018, 33(6):587−590. LI Q H, JIANG W G, LIN H F, et al. Breeding of new soybean variety, xinghuadou No. 1, for green pods [J]. Fujian Journal of Agricultural Sciences, 2018, 33(6): 587−590. (in Chinese)
[6]	陈学珍, 谢皓, 李婷婷, 等. 我国菜用大豆研究进展与生产利用现状 [J]. 北京农学院学报, 2003, 18(4):311−315. doi: 10.3969/j.issn.1002-3186.2003.04.019 CHEN X Z, XIE H, LI T T, et al. Research and production of vegetable soybean in China [J]. Journal of Beijing Agricultural College, 2003, 18(4): 311−315. (in Chinese) doi: 10.3969/j.issn.1002-3186.2003.04.019
[7]	于存浩, 王彪, 姚陆铭, 等. 鲜食大豆新品种交大29选育及其高产栽培技术 [J]. 大豆科技, 2022, (3):55−58. doi: 10.3969/j.issn.1674-3547.2022.03.012 YU C H, WANG B, YAO L M, et al. Breeding and cultivation technology of new edamame cultivar jiaoda 29 [J]. Soybean Science & Technology, 2022(3): 55−58. (in Chinese) doi: 10.3969/j.issn.1674-3547.2022.03.012
[8]	胡润芳, 张玉梅, 王志纯, 等. 菜用大豆新品种‘闽豆5号’的选育及高产稳产特性 [J]. 福建农业学报, 2014, 29(8):741−744. doi: 10.3969/j.issn.1008-0384.2014.08.007 HU R F, ZHANG Y M, WANG Z C, et al. Breeding and characteristics of high-steady yield of vegetable soybean new variety Mindou No. 5 [J]. Fujian Journal of Agricultural Sciences, 2014, 29(8): 741−744. (in Chinese) doi: 10.3969/j.issn.1008-0384.2014.08.007
[9]	王桂梅, 邢宝龙. 大豆农艺性状相关性及主成分分析[J]. 安徽农学通报, 2021, 27(24): 46-48, 87. WANG G M, XING B L. Correlation and Principal Component Analysis of Agronomic Traits in Soybean[J]. Anhui Agricultural Science Bulltion, 2021, 27(24): 46−48, 87. (in Chinese)
[10]	韩秉进, 潘相文, 金剑, 等. 大豆农艺及产量性状的主成分分析 [J]. 大豆科学, 2008, 27(1):67−73. HAN B J, PAN X W, JIN J, et al. Principal component analysis of agronomic and yield-related traits in soybean [J]. Soybean Science, 2008, 27(1): 67−73. (in Chinese)
[11]	石惠, 许海涛. 大豆主要农艺性状的遗传变异及相关性和主成分分析 [J]. 黑龙江农业科学, 2008, (2):29−32. doi: 10.3969/j.issn.1002-2767.2008.02.010 SHI H, XU H T. Genetic variation, correlation and principal component analysis on major agronomic trait of soybean [J]. Heilongjiang Agricultural Sciences, 2008(2): 29−32. (in Chinese) doi: 10.3969/j.issn.1002-2767.2008.02.010
[12]	赵银月, 耿智德, 保丽萍, 等. 云南省大豆地方品种资源的主成分分析及聚类分析 [J]. 湖南农业大学学报(自然科学版), 2007, 33(S1):120−122. ZHAO Y Y, GENG Z D, BAO L P, et al. Principal component analysis and cluster analysis of soybean local variety resources in Yunnan Province [J]. Journal of Hunan Agricultural University (Natural Sciences), 2007, 33(S1): 120−122. (in Chinese)
[13]	张玉革, 胡绪彬. 基于主成分和聚类分析的大豆品种生物学性状的比较研究 [J]. 大豆科学, 2004, 23(3):178−183. doi: 10.3969/j.issn.1000-9841.2004.03.005 ZHANG Y G, HU X B. A comparative study on biological characters of soybean varieties using principal component analysis and cluster analysis [J]. Soybean Science, 2004, 23(3): 178−183. (in Chinese) doi: 10.3969/j.issn.1000-9841.2004.03.005
[14]	王新风, 富健, 孟凡刚, 等. 大豆高蛋白组合杂交F₃与亲本蛋白质含量的相关性分析 [J]. 安徽农业科学, 2009, 37(24):11492−11493. doi: 10.3969/j.issn.0517-6611.2009.24.059 WANG X F, FU J, MENG F G, et al. Analysis on the correlation of protein contents between F₃ hybrid progeny from high protein combination of soybean and its parents [J]. Journal of Anhui Agricultural Sciences, 2009, 37(24): 11492−11493. (in Chinese) doi: 10.3969/j.issn.0517-6611.2009.24.059
[15]	陈学珍, 谢皓, 郑晓宇, 等. 菜用大豆的农艺及品质性状评价与相关性分析 [J]. 北京农学院学报, 2005, 20(1):23−26. doi: 10.3969/j.issn.1002-3186.2005.01.006 CHEN X Z, XIE H, ZHENG X Y, et al. Relation analysis and evaluation on agronomic and quality characters in vegetable soybean [J]. Journal of Beijing Agricultural College, 2005, 20(1): 23−26. (in Chinese) doi: 10.3969/j.issn.1002-3186.2005.01.006
[16]	陈学珍, 谢皓, 李婷婷, 等. 菜用大豆鲜荚粒性状的遗传潜力分析 [J]. 中国蔬菜, 2005, (8):4−6. doi: 10.3969/j.issn.1000-6346.2005.08.004 CHEN X Z, XIE H, LI T T, et al. Hereditability of fresh pod and seed characteristics on vegetable soybean [J]. China Vegetables, 2005(8): 4−6. (in Chinese) doi: 10.3969/j.issn.1000-6346.2005.08.004
[17]	常世豪, 李金花, 李琼, 等. 不同大豆类型产量及相关性状的逐步回归与通径分析 [J]. 种子, 2022, 41(4):96−99,105. CHANG S H, LI J H, LI Q, et al. Stepwise regression and path analysis of yield and related traits in different soybean types [J]. Seed, 2022, 41(4): 96−99,105. (in Chinese)
[18]	邓俊才, 雷婷, 钟蕾, 等. 大豆主要农艺性状与收获期籽粒田间霉变抗性的相关及通径分析 [J]. 大豆科学, 2015, 34(5):837−842. DENG J C, LEI T, ZHONG L, et al. The correlation and path analysis between the main agronomic traits and the resistance of soybean to seed mildew in field during harvest season [J]. Soybean Science, 2015, 34(5): 837−842. (in Chinese)
[19]	伍新龄, 张旭, 莫家琪, 等. 鲜食大豆农艺性状鉴定及通径分析 [J]. 华北农学报, 2014, 29(6):106−112. WU X L, ZHANG X, MO J Q, et al. Agronomic trait and path analysis of agronomic traits of vegetable soybean [J]. Acta Agriculturae Boreali-Sinica, 2014, 29(6): 106−112. (in Chinese)
[20]	乔海涛, 刘学, 高林. 大豆分枝与产量、农艺性状的相关性及灰色关联度分析 [J]. 辽宁农业科学, 2016, (1):36−40. QIAO H T, LIU X, GAO L. Correlation and grey relation analysis of soybean branch and yield, agronomic traits [J]. Liaoning Agricultural Sciences, 2016(1): 36−40. (in Chinese)
[21]	苟升学, 肖金平. 陕西省夏大豆产量与主要农艺性状的通径及灰色关联度分析 [J]. 江西农业学报, 2016, 28(9):18−22. GOU S X, XIAO J P. Analysis of path coefficient and grey relational degree between yield and main agronomic traits of summer soybean in Shaanxi Province [J]. Acta Agriculturae Jiangxi, 2016, 28(9): 18−22. (in Chinese)
[22]	成雪峰. 黄淮海大豆高产优质育种的灰色关联分析 [J]. 大豆科学, 2010, 29(5):751−755. CHENG X F. Grey correlation analysis on agronomic traits of high yield and quantity soybean in Huang-Huai-Hai region [J]. Soybean Science, 2010, 29(5): 751−755. (in Chinese)
[23]	缪亚梅, 王学军, 汪凯华, 等. 鲜食大豆农艺性状与鲜荚产量的灰色关联分析 [J]. 安徽农业科学, 2008, 36(36):15809−15810,15813. doi: 10.3969/j.issn.0517-6611.2008.36.026 MIAO Y M, WANG X J, WANG K H, et al. Gray correlation analysis between the agronomic trait and the yield of fresh soybean pod [J]. Journal of Anhui Agricultural Sciences, 2008, 36(36): 15809−15810,15813. (in Chinese) doi: 10.3969/j.issn.0517-6611.2008.36.026
[24]	李炜, 毕影东, 刘建新, 等. 寒地野生大豆资源农艺性状的相关性和主成分分析 [J]. 土壤与作物, 2022, 11(1):10−17. LI W, BI Y D, LIU J X, et al. Correlation and principal component analysis for agronomic traits of wild soybean in cold region [J]. Soils and Crops, 2022, 11(1): 10−17. (in Chinese)
[25]	林文磊, 吕美琴, 李明松, 等. 39份春大豆种质资源的主成分分析及其聚类分析[J]. 福建农业学报, 2018, 33(10): 1016-1022. LIN W L, LÜ M Q, LI M S, et al. Principal Component Analysis and Cluster Analysis of 39 Spring Soybean Germplasm Resources[J]. Fujian Journal of Agricultural Sciences, 2018, 33(10): 1016−1022. (in Chinese)
[26]	刘迎春, 赵玉山, 周学超, 等. 20个大豆品种主要农艺性状的综合评价与利用 [J]. 贵州农业科学, 2022, 50(11):6−12. LIU Y C, ZHAO Y S, ZHOU X C, et al. Comprehensive evaluation and application on main agronomic traits of 20 soybean cultivars [J]. Guizhou Agricultural Sciences, 2022, 50(11): 6−12. (in Chinese)
[27]	杜世坤, 赵宝勰, 赵振宁, 等. 间作用大豆亲本的相关性、主成分及聚类分析 [J]. 分子植物育种, 2022, 20(1):266−275. DU S K, ZHAO B X, ZHAO Z N, et al. Correlation analysis, principal component analysis and cluster analysis in parent selection of intercropping soybean [J]. Molecular Plant Breeding, 2022, 20(1): 266−275. (in Chinese)
[28]	张文霖. 主成分分析在SPSS中的操作应用 [J]. 市场研究, 2005, (12):31−34. doi: 10.3969/j.issn.1672-4216.2005.12.009 ZHANG W L. Application of principal component analysis in SPSS [J]. Marketing Research, 2005(12): 31−34. (in Chinese) doi: 10.3969/j.issn.1672-4216.2005.12.009
[29]	黎松松, 赖建军, 张红梅, 等. 江苏鲜食春大豆种质资源表型鉴定及综合评价 [J]. 大豆科学, 2022, 41(4):385−396. LI S S, LAI J J, ZHANG H M, et al. Phenotyping identification and comprehensive evaluation of fresh spring soybean germplasms in Jiangsu Province [J]. Soybean Science, 2022, 41(4): 385−396. (in Chinese)
[30]	李琼, 常世豪, 舒文涛, 等. 黄淮海地区夏大豆(南片)46份大豆品种(系)农艺性状综合分析 [J]. 新疆农业科学, 2021, 58(10):1765−1774. LI Q, CHANG S H, SHU W T, et al. Comprehensive analysis of agronomic characters of 46 soybean varieties (lines) of summer soybeans (south) in Huang-Huai-Hai region [J]. Xinjiang Agricultural Sciences, 2021, 58(10): 1765−1774. (in Chinese)
[31]	贺礼英, 尹成杰, 黄守程, 等. 菜用大豆主要农艺性状的相关性、聚类及主成分分析 [J]. 浙江农业学报, 2018, 30(1):50−57. doi: 10.3969/j.issn.1004-1524.2018.01.07 HE L Y, YIN C J, HUANG S C, et al. Correlation, clustering and principal component analysis of primary agronomic traits of vegetable soybean [J]. Acta Agriculturae Zhejiangensis, 2018, 30(1): 50−57. (in Chinese) doi: 10.3969/j.issn.1004-1524.2018.01.07
[32]	李清华. 34份菜用大豆品种主要农艺性状的主成分分析及遗传距离测定 [J]. 福建农业学报, 2018, 33(2):136−143. LI Q H. Principal component analysis on major agronomic traits and determination of genetic distance of thirty-four vegetable soybean cultivars [J]. Fujian Journal of Agricultural Sciences, 2018, 33(2): 136−143. (in Chinese)
[33]	徐传富, 杨栋承, 王树林, 等. 菜用大豆鲜粒荚性状的主成分评价 [J]. 黑龙江农业科学, 2009, (4):30−32. XU C F, YANG D C, WANG S L, et al. Principal component evaluation of fresh pod characters of vegetable soybean [J]. Heilongjiang Agricultural Sciences, 2009(4): 30−32. (in Chinese)
[34]	郭数进, 杨凯敏, 霍瑾, 等. 大豆不同性状与产量的相关性及主成分分析 [J]. 山西农业科学, 2015, 43(5):505−508. GUO S J, YANG K M, HUO J, et al. Correlation and principal component analysis between traits and yield in soybean [J]. Journal of Shanxi Agricultural Sciences, 2015, 43(5): 505−508. (in Chinese)