[1]刘东,齐婉冬,冯燕,等.大豆主要农艺性状的遗传解析[J].大豆科学,2018,37(02):165-172.[doi:10.11861/j.issn.1000-9841.2018.02.0165]
　LIU Dong,QI Wan-dong,FENG Yan,et al.Characterization of the Genetic Basis of Main Agronomic Traits in Soybean[J].Soybean Science,2018,37(02):165-172.[doi:10.11861/j.issn.1000-9841.2018.02.0165]
点击复制

大豆主要农艺性状的遗传解析

《大豆科学》[ISSN:1000-9841/CN:23-1227/S] 卷: 第37卷 期数: 2018年02期 页码: 165-172 栏目: 出版日期: 2018-03-20
Title:
Characterization of the Genetic Basis of Main Agronomic Traits in Soybean
作者:
刘东1; 2; 齐婉冬1; 2; 冯燕3; 赵青松3; 张孟臣3; 杨春燕3; 杨永庆2; 廖红2
（1.华南农业大学 根系生物学研究中心，广东 广州 510000； 2.福建农林大学 根系生物学研究中心/作物科学学院，福建 福州 350002； 3.河北省农林科学院 粮油作物研究所/河北省作物遗传育种实验室/国家大豆改良中心石家庄分中心/农业部黄淮海大豆生物学与遗传育种重点实验室，河北 石家庄 050035）
Author(s):
LIU Dong1; 2; QI Wan-dong1; 2; FENG Yan3; ZHAO Qing-song3; ZHANG Meng-chen3; YANG Chun-yan3; YANG Yong-qing2; LIAO Hong2
（1.Root Biology Center, South China Agricultural University, Guangzhou 510000, China; 2.Root Biology Center and College of Crop Science, Fujian Agricultural and Forestry University, Fuzhou 350002, China; 3.Institute of Cereal and Oil crops, Hebei Academy of Agricultural and Forestry Sciences/ Key Laboratory of Crop Genetics and Breeding of Hebei ProvinceShijiazhuang 050035, China）
关键词:
遗传率; RIL群体; 相关性; 高产家系; 数量性状
Keywords:
Heritability;  RIL population;  Correlation;  High-yielding family;  Quantitative traits
分类号:
S565.1
DOI:
10.11861/j.issn.1000-9841.2018.02.0165
文献标志码:
A
摘要:
利用亲本冀豆12（高蛋白）和冀nf58（高油）及其175份F9∶11重组自交系（RIL）材料，对大豆12个主要农艺性状进行了相关性和遗传分析，以期初步解析影响产量的主要因素。结果显示：亲本在株高、主茎节数、分枝数、百粒重、油分含量、蛋白含量和单株粒重7个性状上具有显著差异。在RIL群体中，12个农艺性状均表现为典型的数量性状特征，且具有相对较高的遗传率。其中，株高的遗传率最高（0.98），茎干重最低（0.63）。除3个性状（油分、蛋白含量和百粒重）外，其它9个性状之间呈现极显著的正相关，相关系数为0.30~0.90；蛋白含量与6个性状显著负相关，但与百粒重显著正相关。各性状与单株粒重相关性依次为：单株粒数>单株荚数>叶干重>株高>分枝数>叶片数>茎干重、主茎节数>百粒重>蛋白含量>油分含量。选取19个单产最高的家系材料进一步分析表明，所测试的9个农艺性状主要遗传于母本冀豆12，而株高和主茎节数受到父本冀nf58的改良，说明通过聚合不同品种优异性状仍有提高品种产量的潜力。本研究结果可为培育高产优质大豆品种提供理论基础。
Abstract:
In order to determine the main factors affecting soybean yield, two soybean genotypes, Jidou 12 (high protein content) and Ji nf58 (high oil content), and their 175 F9∶11 recombinant inbred lines (RILs) were evaluated for the inheritance and correlation among 12 main agronomic traits. The results indicated that the parents significantly differed in plant height,node number,branch number,grain yield,oil content,protein content and seed weight per plant. Among RILs, 12 agronomic traits showed typical properties as quantitative traits with high heritability, and the h2b of plant height was the highest as 0.98, while the h2b of stem dry weight was the lowest as 0.63. Except for three traits (protein, oil content and 100-seed weight), the other nine traits significantly positively correlated to each other with the correlation efficiency ranged from 0.30~0.90. Protein content significantly negatively correlated to 6 traits, but significantly positively correlated to 100-seed weight. The traits successively correlated to grain yield were: seed number>pod number>leaf dry weight>plant height>branch number>leaf number>stem dry weight and node number>100-seed weight>protein content>oil content. Further analysis using 19 lines with the highest yield found that nine tested agronomic traits inherited from Jidou 12, but plant height and node number were improved by Ji nf58, suggesting that there were potentials to increase yield by integrating excellent characteristics from different varieties. The results could provide a theoretical basis for breeding high yield and high quality soybean cultivars.

参考文献/References:

［1］Long H B, Feng T Z, Sun Y F, et al. First report of meloidogyne graminicola on soybean (Glycine max) in China［J］. Plant Disease, 2017, 101(8).
［2］Babu S R, Meena P K, Dudwal R. Population dynamics of major defoliators (semiloopers and tobacco caterpillar) in soybean crop［J］. Legume Research: An International Journal, 2017, 40(1):183-186.
［3］崔宁波. 我国大豆生产技术及应用的经济分析［D］. 哈尔滨:东北农业大学, 2008: 13-16. (Cui N B. Economic analysis on soybean production technology and its application in China ［D］. Harbin: Northeast Agricultural University, 2008: 13-16.)
［4］周振亚. 中国植物油产业发展战略研究［D］. 北京：中国农业科学院, 2012: 1-10. (Zhou Z Y. Study on the strategy of the vegetable oil industry in China［D］. Beijing: Chinese Academy of Agricultural Science, 2012: 1-10.)
［5］朱思柱. 大豆进口对中国种植业的影响研究［D］.南京：南京农业大学, 2014: 1-4. (Zhu S Z. Research on the impact of soybean imports on Chinese cropping production［D］. Nanjing:Nanjing Agricultural University, 2014: 1-4.)
［6］Liang Q, Cheng X, Mei M, et al. QTL analysis of root traits as related to phosphorus efficiency in soybean［J］. Annals of Botany, 2010, 106(1): 223-234.）
［7］李欣欣, 许锐能, 廖红. 大豆共生固氮在农业减肥增效中的贡献及应用潜力［J］. 大豆科学,2016, 35(4): 531-535. (Li X X, Xu R N, Liao H. Contributions of symbiotic nitrogen fixation in soybean to reducing fertilization while increasing efficiency in agriculture［J］. Soybean Science, 2016, 35(4): 531-535.)
［8］殷瑞锋. 2016/17年度大豆压榨加工量稳定增加［J］. 农产品市场周刊, 2017(7): 48. (Yin R F. Soybean crush processing volume increased steadily in 2016/17［J］. Agricultural Products Market Weekly, 2017(7): 48.)
［9］张振. 大豆生产显著性增加进口增速放缓［J］. 农产品市场周刊, 2017(16):22-23. (Zhang Z. Soybean production significantly increased import growth slow down［J］. Agricultural Products Market Weekly, 2017(16)：22-23.)
［10］杨瑞姣. 中国大豆进口影响因素的实证分析［J］. 商, 2016(10): 125. (Yang R J. An empirical analysis of the influence factors of Chinese soybean imports［J］. Business, 2016(10): 125.)
［11］姜丽丽. 我国大豆加工企业价格风险及其规避研究［D］. 哈尔滨:东北农业大学, 2012: 1-4. (Jiang L L. Research on the price risk and control of the soybean processing enterprise in our country［D］. Harbin:Northeast Agricultural University, 2012: 1-4.)
［12］路子显. 论大豆进口与我国粮食质量安全［J］. 粮食问题研究, 2017(1): 4-9. (Lu Z X. On soybean import and food quality and safety［J］. Grain Issues Research, 2017(1): 4-9.)
［13］汪宝卿, 张礼凤, 慈敦伟, 等. 黄淮海地区夏大豆农艺性状与产量的相关性及灰色关联度分析［J］. 山东农业科学, 2010(3): 20-25. (Wang B Q, Zhang L F, Ci D W, et al. Correlation and grey relation analysis of agronomic traits with yield of summer soybean in the Huang-Huai-Hai area［J］. Shandong Agricultural Science, 2010(3): 20-25.）
［14］刘秀玉. 大豆种植技术［J］. 农民致富之友, 2017(3): 16. (Liu X Y. Soybean planting technology［J］. The Farmer′s Friend Magazine, 2017(3): 16.)
［15］詹福云. 大豆种植技术研究［J］. 黑龙江科技信息, 2015(36): 277. (Zhan F Y. Soybean planting technology［J］. Heilongjiang Technical Information, 2015(36): 277.)
［16］王凤菊, 田广吉, 徐淑霞, 等. 黄淮海地区高蛋白夏大豆高产栽培技术［J］. 大豆科技, 2016(6): 45-47. (Wang F J, Tian G G, Xu S X, et al. High yield cultivation technique of high protein summer soybean in Huang-huai-hai area［J］. Soybean Science & Technology, 2016(6): 45-47.)
［17］王连铮, 傅玉清, 赵荣娟, 等. 黄淮海地区大豆育种的研究［J］. 大豆科学, 2001，20(4): 266-269. (Wang L Z, Fu Y Q, Zhao R J, et al. Study on soybean breeding in Huang-Huai-Hai area［J］. Soybean Science, 2001, 20(4): 266-269.)
［18］王彩洁. 中国大豆主产区大面积种植品种性状演变规律研究及优异等位变异发掘［D］. 北京:中国农业科学院, 2013: 1-7. (Evolution trend investigation and elite allele exploration of widely-planted soybean varieties from different regions and decades［D］.Beijing: Chinese Academy of Agricultural Sciences, 2013: 1-7.)
［19］张兵, 李丹, 张宁. 黄淮海地区大豆主要种植模式及效益分析［J］. 大豆科学, 2011, 30(6): 987-992. (Zhang B, Li D, Zhang N. Soybean planting patterns and benefit analysis of Huang-Huai-Hai region［J］. Soybean Science, 2011, 30(6): 987-992.)
［20］成雪峰, 张凤云. 黄淮海夏大豆生产现状及发展对策［J］. 大豆科学, 2010, 29(1): 157-160. (Cheng Y F, Zhang F Y. Present conditions and counter measures of soybean production in Huang-Huai-Hai region［J］. Soybean Science, 2010, 29(1): 157-160.)
［21］韩天富, 盖钧镒, 邱家驯. 中国大豆不同生态类型代表品种开花前、开花后光周期反应的比较研究［J］. 大豆科学, 1998, 17(2): 35-40. (Han T F, Gai J Y, Qiu J X. A comparative study on pre- and post-flowering photo period response in various ecotype of soybeans［J］. Soybean Science, 1998, 17(2): 35-40.)
［22］赵双进, 张孟臣, 杨春燕, 等. 栽培因子对大豆生长发育及群体产量的影响—I.播期、密度、行株距 (配置方式 )对产量的影响［J］. 中国油料作物学报, 2002, 24(4): 31-34. (Zhao S J, Zhang M C, Yang C Y, et al. Effect of culture factors on growth and yield of soybean I. Effect of sowing date, density, space in row and plant space on yield［J］. Chinese Journal of Oil Crop Sciences, 2002, 24(4): 31-34.)
［23］Wang H H, Ha K. China′srole in world food security［M］//The Eurasian wheat belt and food security. Springer International Publishing, 2017: 259-273.)
［24］谷强平. 中国大豆进口贸易影响因素及效应研究［D］. 沈阳:沈阳农业大学, 2015: 7-18. (Gu Q P. Research on the influence factors and effect of Chinese soybean import trade［D］. Shenyang: Shengyang Agricultural University, 2015: 7-18.)
［25］周静, 谷强平, 杜吉到. 中国大豆进口依赖性及其对大豆进口安全的影响［J］. 大豆科学, 2015, 34(3): 503-506,511. (Zhou J, Gu Q P, Du J L. Soybean import dependence and its effect on soybean import security in China［J］. Soybean Science, 2015, 34(3): 503-506,511.)
［26］赵琳, 宋亮, 詹生华, 等. 大豆育种进展与前景展望［J］. 大豆科技, 2014(3): 36-39. (Zhao L, Song L, Zhan H S, et al. Progress and perspective on soybean breeding［J］. Soybean Science & Technology, 2014(3): 36-39.)
［27］马育华, 盖钧镒. 江淮下游地区大豆地方品种的初步研究—(三)数量性状的表型、遗传型相关, 选择指数, 及其育种意义［J］. 作物学报, 1979(4): 1-12. (Ma Y H, Gai J Y. Preliminary research on the local varieties of soybean in the lower reaches of JiangHuai area (3) the phenotype, genotype correlation, selection index, and its breeding significance［J］. Acta Agronomica Sinica, 1979(4): 1-12.)
［28］张志民, 周青, 郑丽敏, 等. 大豆蛋白质遗传和生育期间积累规律的研究进展［J］. 大豆科技, 2017(1): 36-39. (Zhang Z M, Zhou Q, Zheng L M, et al. Progress in the study of the accumulation of soybean protein during the period of heredity and reproduction［J］. Soybean Science & Technology, 2017(1): 36-39.)
［29］仲义, 鄂成林, 孙发明, 等. 大豆农艺性状和品质性状间相关性分析［J］. 东北农业科学, 2012, 37(2):1-3. (Zhong Y, E C L, Sun F M, et al. Analysis of correlation between agronomic traits and quality traits of soybean ［J］. Northeast Agricultural Sciences, 2012, 37(2):1-3.)
［30］秦君, 杨春燕, 谷峰, 等. 黄淮海地区大豆产量及其稳定性评价［J］. 中国农业科学, 2012, 46(3): 451-462. (Qin J, Yang C Y, Gu F, et al. Evaluation of productivity and stability of soybean cultivars in China′s Huang-Huai-Hai region ［J］. Chinese Agricultural Sciences, 2012, 46(3): 451-462.)
［31］黄中文, 王伟, 徐新娟，等. 大豆重组自交家系群体动态株高及其相对生长速率与产量的关系［J］. 作物学报, 2011, 37(3): 559-562. (Huang Z W, Wang W, Xu X J, et al. Relationship of dynamic plant height and its relative growth rate with yield using recombine inbred lines of soybean［J］. Acta Agronomica Sinica, 2011, 37(3): 559-562.)
［32］Wu T, Yang X, Sun S, et al. Temporal-spatial characterization of seed proteins and oil in wildly grown soybean cultivars across a century of breeding in China［J］. Crop Science, 2017, 57(2): 748-759.）
［33］张孟臣，张磊，刘学义. 黄淮海大豆改良种质［M］. 北京:中国农业出版社, 2014. (Zhang M C, Zhang L, Liu X Y. Soybeans improve the quality of germplasm in Huang-Huai-Hai［M］. Beijing: China Agriculture Press, 2014.)
［34］杨春燕, 张孟臣, 赵双进，等. 大豆新品种冀豆12号主要特性及栽培技术［J］. 大豆科技, 2001(6): 16-17. (Yang C Y, Zhang M C, Zhao S J, et al. The main characteristics and cultivation techniques of soybean variety Jidou 12［J］. Soybean Science & Technology, 2001(6): 16-17.)
［35］王静华. 黄淮海大豆冀豆17和冀nf58的遗传基础分析及重要蛋白挖掘［D］. 石家庄:河北师范大学, 2015: 2-10. (Wang J H. Genetic basis analysis and the identification of key proteins of Huang-huai-hai soybean cultivars Jidou 17 and Ji nf 58［D］. Shijiazhuang: Hebei Normal University, 2015: 2-10.)
［36］邱丽娟, 常汝镇, 刘章雄. 大豆种质资源描述规范和数据标准［M］.北京：中国农业出版社，2006. (Qiu L J, Chang R Z, Liu Z X. Soybean germplasm resources specification and data standards［M］. Beijing: China Agriculture Press, 2006.)
［37］陆婉珍, 袁洪福, 徐广通, 等．现代近红外光谱分析技术［M］. 北京: 中国石化出版社, 2000: 146-156. (Lu W Z, Yuan H F, Xu G T, et al. Modern near-infrared spectrum analysis technology［M］. Beijing: Chinese Petrochemistry Press, 2000: 146-156.)
［38］闫海波, 王艳, 赵琳, 等. 大豆蛋白和油分含量的QTL分析［J］. 大豆科学, 2016,35(2): 228-233. (Yan H B, Wang Y, Zhao L, et al. QTL analysis associated with protein and oil content in soybean［J］. Soybean Science, 2016, 35(2): 228-233.)
［39］范冬梅, 孙殿君, 马占洲, 等. 多种环境下大豆单株粒重QTL的定位与互作分析［J］. 作物学报, 2013, 39(6): 1021-1029. (Fan D M, Sun D J, Ma Z Z, et al. QTL mapping and interaction analysis of seed weight per plant in soybean among different environments［J］. Acta Agronomica Sinica, 2013, 39(6): 1021-1029.)
［40］胡振帮, 朱荣胜, 高运来, 等. 黑龙江省大豆品种单株粒重与其他农艺性状的灰色关联度分析［J］. 东北农业大学学报, 2011, 42(11): 57-62. (Hu Z B, Zhu R S, Gao Y L, et al. Grey correlation degree analysis between seed weight per plant and other major agronomic traits with soybean varieties in Heilongjiang province［J］. Journal of Northeast Agricultural University, 2011, 42(11): 57-62.)
［41］申忠宝, 王建丽, 潘多锋, 等. 大豆单株产量与主要农艺性状的灰色关联度分析［J］. 中国农学通报, 2002, 28(33): 75-77. (Shen Z B, Wang J L, Pan D F, et al. The grey relation analysis of agronomic traits with per plant yield of soybean［J］.Chinese Agricultural Science Bulletin, 2002, 28(33): 75-77.)
［42］张君, 王丕武, 杨伟光,等. 大豆主要性状间的灰色关联度分析［J］. 沈阳农业大学学报, 2004,35(1): 1-3. (Zhang J, Wang P W, Yang W G, et al. Gray relational analysis on main characters of soybean［J］.Journal of Shenyang Agricultural University, 2004, 35(1):1-3.)
［43］王秋玲, 郭凌云, 刘艳, 等. 夏大豆单株产量与主要农艺性状的灰色关联度分析［J］. 大豆通报, 2002 (6): 5. (Wang Q L, Guo L Y, Liu Y, et al. Gray relational grade analysis of individual soybean yield and main agronomic traits in summer soybean［J］.Soybean Bulletin, 2002(6): 5.)
［44］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［J］. 东北农业大学学报, 2008, 39(2): 145-149. (Zhou E Y, Liu L J, Zu W, et al. The relationship between agronomic traits and quality of spring soybean［J］. Journal of Northeast Agricultural University, 2008, 39(2): 145-149.)

备注/Memo

收稿日期：2017-10-19

基金项目：国家重点研发计划（2016YFD0100201）；国家产业技术体系（CARS-004-PS06）；河北省重点研发计划（16227516D）。
第一作者简介：刘东(1990-)，男，硕士，主要从事大豆遗传定位研究。E-mail:929564390@qq.com。
通讯作者：杨春燕(1966-)，女，学士，研究员，主要从事大豆遗传育种研究。E-mail:chyyang66@163.com；
杨永庆(1985-)，男，博士，副教授，主要从事大豆遗传育种研究。E-mail:yyq287346@163.com。

更新日期/Last Update: 2018-04-02