欢迎访问作物学报，今天是
作物学报

作物学报 ›› 2022, Vol. 48 ›› Issue (12): 2994-3003.doi: 10.3724/SP.J.1006.2022.13076

所属专题： 玉米：遗传育种·种质资源·分子遗传学

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

290个吉林省审定玉米品种SSR-DNA指纹构建及遗传多样性分析

田红丽1(), 赵紫薇1,2(), 杨扬1(), 范亚明1, 班秀丽3, 易红梅1, 杨洪明3, 刘少荣1, 高玉倩3, 刘亚维1, 王凤格1()   

  1. 1北京市农林科学院玉米研究中心 / 玉米DNA指纹及分子育种北京市重点实验室, 北京 100097
    2吉林农业大学, 吉林长春 130118
    3吉林省种子管理总站, 吉林长春 130022
  • 收稿日期:2021-12-21 接受日期:2022-03-25 出版日期:2022-12-12 网络出版日期:2022-04-20
  • 通讯作者: 王凤格
  • 作者简介:田红丽, E-mail: tianhongli9963@163.com;
    赵紫薇, E-mail: zhao691111@sina.com;
    杨扬, E-mail: caurwx@163.com第一联系人：

    **同等贡献

  • 基金资助:
    北京市农林科学院科技创新能力建设专项(KJCX20200305);“十三五”国家重点研发计划项目(2017YFD0102001)

Construction of SSR-DNA fingerprints and genetic diversity analysis of 290 maize varieties approved in Jilin province, China

TIAN Hong-Li1(), ZHAO Zi-Wei1,2(), YANG Yang1(), FAN Ya-Ming1, BAN Xiu-Li3, YI Hong-Mei1, YANG Hong-Ming3, LIU Shao-Rong1, GAO Yu-Qian3, LIU Ya-Wei1, WANG Feng-Ge1()   

  1. 1Maize Research Center, Beijing Academy of Agriculture and Forestry Sciences / Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing 100097, China
    2Jilin Agricultural University, Changchun 130118, Jilin, China
    3Jilin Seed Management Station, Changchun 130022, Jilin, China
  • Received:2021-12-21 Accepted:2022-03-25 Published:2022-12-12 Published online:2022-04-20
  • Contact: WANG Feng-Ge
  • About author:First author contact:

    **Contributed equally to this work

  • Supported by:
    Science and Technology Innovation Capacity Building Project of Beijing Academy of Agriculture and Forestry Sciences(KJCX20200305);National Key Research and Development Program of China during 13th Five-Year Plan(2017YFD0102001)

RichHTML

31

PDF

314

摘要：

吉林省审定玉米品种标准指纹构建及遗传多样性分析, 可为其品种审定、保护、市场监测等提供核心数据支撑, 同时对于品种选育、种质创新也具有重要意义。本研究利用40对SSR标记构建了吉林省2010—2017年审定的290个玉米品种标准SSR-DNA指纹并进行了遗传多样性分析。结果表明, 40对SSR标记检测到等位基因数平均值为11.85个, PIC平均值为0.64; 品种杂合基因型频率平均值为0.66; 品种间差异位点数目均≥2个。6个熟期组的遗传多样性分析显示, 中晚熟和中熟审定的品种较多占71.72%, 极早熟、早熟、晚熟审定品种较少; 早熟组具有基因多样性参数最高值0.69, 品种数量最多的中晚熟组具有相对低的基因多样性值。聚类结果显示, 吉林省审定推广种植品种被划分为3类, 分别是甜糯爆裂、极早熟和早熟类、偏中或晚熟类; 偏中或晚熟的品种显示了两大趋势, 代表了选用杂优群的差异、品种选育单位的不同、品种类型的差异等。本研究为吉林省玉米品种管理、品种选育、种质创新提供了重要的理论和数据基础。

关键词: 吉林省, 审定玉米品种, SSR标记, DNA指纹构建, 遗传多样性

Abstract:

The standard fingerprint construction and genetic diversity analysis of maize varieties approved in Jilin province can provide data support for variety approval, protection, and market monitoring. It is also of great significance for variety breeding and germplasm innovation. In this study, 40 pairs of SSR markers were used to construct the standard SSR-DNA fingerprints of 290 maize varieties approved in Jilin province from 2010 to 2017, and the genetic diversity was analyzed. The results showed that the average number of alleles detected by 40 SSRs was 11.85 and the average PIC was 0.64. The average frequency of heterozygous genotypes of varieties was 0.66. The different loci number among varieties was ≥ 2. The genetic diversity analysis of six maturity groups revealed that there were more varieties with middle and late maturity, accounting for 71.72%, and fewer varieties with extremely early maturity, early maturity, and late maturity. The early maturity group had the highest gene diversity parameter of 0.69, and the mid-late maturity group with the largest number of varieties had a relatively low gene diversity value. Clustering results indicated that the varieties approved and popularized in Jilin province were divided into three categories: sweet waxy and popcorn, extremely early and early middle, medium or late maturity. The middle or late maturing varieties had two major trends, representing the differences in the selection of heterozygous groups, the different breeding units, the differences in variety types and so on. This study provides an important theoretical and data basis for maize variety management, variety breeding, and germplasm innovation in Jilin province.

Key words: Jilin province, approved maize varieties, SSR marker, DNA fingerprints construction, genetic diversity

表1

40对SSR引物多态性信息"

编号
SSR ID		 染色体位置
Chromosome location		 基因型数
Number of
genotypes		 等位基因数
Number of
alleles		 多态信息含量
Polymorphism
information content		 引物区分能力
Discrimination power		 主要等位基因及其频率
Major allele and its
frequency
P01 1.03 46.00 18.00 0.73 0.92 350,0.44
P02 1.06 16.00 8.00 0.52 0.64 241,0.62
P03 2.04 66.00 21.00 0.81 0.92 256,0.28
P04 2.08 66.00 25.00 0.79 0.92 358,0.37
P05 3.00 69.00 23.00 0.81 0.95 291,0.36
P06 3.05 19.00 8.00 0.68 0.86 336,0.41
P07 4.01 28.00 14.00 0.38 0.53 411,0.77
P08 4.06 35.00 18.00 0.67 0.84 382,0.39
P09 5.03 56.00 19.00 0.80 0.93 319,0.32
P10 5.07 42.00 15.00 0.81 0.93 252,0.27
P11 6.00 69.00 22.00 0.84 0.95 183,0.26
P12 6.05 47.00 20.00 0.64 0.86 265,0.57
P13 7.00 33.00 14.00 0.71 0.87 208,0.45
P14 7.04 16.00 6.00 0.66 0.85 173,0.46
P15 8.06 32.00 8.00 0.71 0.89 237,0.46
P16 8.08 21.00 8.00 0.51 0.75 217,0.65
P17 9.03 9.00 4.00 0.56 0.77 413,0.48
P18 9.04 9.00 6.00 0.33 0.57 278,0.76
P19 10.02 22.00 14.00 0.49 0.73 222,0.66
P20 10.05 25.00 10.00 0.68 0.86 185,0.42
P21 1.07 7.00 4.00 0.43 0.66 154,0.67
P22 1.10 83.00 24.00 0.85 0.95 193,0.31
P23 2.00 26.00 8.00 0.68 0.84 253,0.44
P24 2.07 23.00 8.00 0.61 0.82 222,0.51
P25 2.09 35.00 13.00 0.68 0.87 165,0.47
P26 3.07 13.00 6.00 0.56 0.77 232,0.56
P27 4.04 20.00 8.00 0.64 0.83 271,0.44
P28 4.09 9.00 5.00 0.51 0.74 197,0.48
P29 5.02 40.00 12.00 0.79 0.92 276,0.28
P30 5.03 8.00 5.00 0.45 0.63 126,0.61
P31 6.01 52.00 20.00 0.75 0.91 263,0.39
P32 6.07 24.00 9.00 0.62 0.80 234,0.54
P33 7.01 24.00 9.00 0.66 0.81 207,0.39
P34 7.03 16.00 8.00 0.50 0.73 170,0.60
P35 8.02 20.00 8.00 0.69 0.88 183,0.44
P36 8.09 16.00 6.00 0.62 0.83 204,0.50
P37 9.01 27.00 8.00 0.76 0.90 197,0.29
P38 9.05 7.00 4.00 0.37 0.65 275,0.61
P39 10.00 34.00 13.00 0.64 0.83 309,0.44
P40 10.04 41.00 15.00 0.71 0.86 310,0.37
平均Mean — 31.28 11.85 0.64 0.82 0.47

图1

290个吉林省审定玉米品种杂合基因型频率、两两成对比较差异位点数分布图 A: 290个玉米品种杂合基因型频率分布: B: 290个玉米品种两两成对比较差异位点数分布图。"

表2

6个熟期组的遗传多样性比较"

熟期
Mature stage		 样品数量
Number		 总基因型数
Number of
genotypes		 总等位基因数
Number of
alleles		 杂合基因型频率平均值
Heterozygous
genotype rate		 基因多样性
Gene diversity
极早熟 Extremely early maturity 11 263 210 0.66 0.66
早熟 Early maturity 25 458 291 0.61 0.69
中早熟 Mid-early maturity 38 492 291 0.65 0.67
中熟 Mid-maturity 86 753 389 0.66 0.68
中晚熟 Mid-late maturity 122 717 359 0.67 0.65
晚熟 Late maturity 8 215 193 0.66 0.64

图2

295个玉米品种的系统聚类图 红色: 极早熟; 黄色: 早熟; 棕色: 中早熟; 蓝色: 中熟; 浅绿色: 中晚熟; 黑色: 晚熟。图中黑色实心圆表示代表性品种。"

图3

295个玉米品种主坐标分析 A: 3个类群之间的相互关系; B: 偏晚熟的7个组之间的相互关系, 黑色空心圆为代表品种。"

[1] 刘禹含. 吉林省玉米生产现状及产量影响因素分析. 乡村科技, 2020, (13): 104-106.
Liu Y H. Analysis on the current situation of maize production and influencing factors in Jilin province. Rural Sci Technol, 2020, (13): 104-106. (in Chinese)
[2] 焦仁海, 仲义, 孙发明, 徐艳荣, 代秀云, 侯宗运, 刘兴二. 吉林省玉米育种存在的问题及对策. 河南农业科学, 2012, 41(8): 43-45.
Jiao R H, Zhong Y, Sun F M, Xu Y R, Dai X Y, Hou Z Y, Liu X E. Problems and countermeasures of maize breeding in Jilin province. J Henan Agric Sci, 2012, 41(8): 43-45. (in Chinese with English abstract)
[3] 孟令媛, 姜海英, 王锋. 吉林省玉米育种面临的问题及解决方向初探. 农业科技通讯, 2017, (4): 20-21.
Meng L Y, Jiang H Y, Wang F. The problems faced by maize breeding in Jilin province and solutions. Bull Agric Sci Technol, 2017, (4): 20-21. (in Chinese)
[4] 吴则东, 江伟, 马龙彪. 分子标记技术在农作物品种鉴定上的研究进展及未来展望. 中国农学通报, 2015, 31(33): 172-176.
Wu Z D, Jiang W, Ma L B. Research progress and future prospects of molecular marker technology applied in crop variety identification. Chin Agric Sci Bull, 2015, 31(33): 172-176. (in Chinese with English abstract)
[5] 王凤格, 赵久然, 郭景伦, 佘花娣, 陈刚. 比较三种DNA指纹分析方法在玉米品种纯度及真伪鉴定中的应用. 分子植物育种, 2003, (增刊1): 655-661.
Wang F G, Zhao J R, Guo J L, She H D, Chen G. Comparison of three DNA fingerprint analyzing methods for maize cultivars’ identification. Mol Plant Breed, 2003, (S1): 655-661. (in Chinese with English abstract)
[6] 赵久然, 王凤格, 郭景伦, 陈刚, 廖琴, 孙世贤, 陈如明, 刘龙洲. 中国玉米新品种DNA指纹库建立系列研究: II. 适于玉米自交系和杂交种指纹图谱绘制的SSR核心引物的确定. 玉米科学, 2003, 11(2): 3-5.
Zhao J R, Wang F G, Guo J L, Chen G, Liao Q, Sun S X, Chen R M, Liu L Z. Series of research on establishing DNA fingerprinting pool of Chinese new maize cultivars: II. Confirmation of a set of SSR core primer pairs. J Maize Sci, 2003, 11(2): 3-5. (in Chinese with English abstract)
[7] 王凤格, 易红梅, 赵久然, 田红丽, 任洁, 葛建镕, 王璐. 玉米真实性SSR鉴定标准的研制及应用. 玉米科学, 2016, 24(4): 61-66.
Wang F G, Yi H M, Zhao J R, Tian H L, Ren J, Ge J R, Wang L. Development and application of maize authenticity identification standard by SSR technology. J Maize Sci, 2016, 24(4): 61-66. (in Chinese with English abstract)
[8] 张金渝, 张建华, 杨晓洪, 金航, 米艳华, 肖植文, 孔令明, 肖卿. 玉米DUS测试标准品种的SSR分子指纹图谱的构建. 玉米科学, 2006, 14(4): 47-52.
Zhang J Y, Zhang J H, Yang X H, Jin H, Mi Y H, Xiao Z W, Kong L M, Xiao J. Building of SSR fingerprinting map of standard varieties on maize in DUS testing. J Maize Sci, 2006, 14(4): 47-52. (in Chinese with English abstract)
[9] 李丽华, 魏昕, 潘光堂. 20个骨干玉米自交系的SSR指纹图谱构建. 西南农业学报, 2007, 20: 1172-1175.
Li L H, Wei X, Pan G T. The construction of fingerprints for 20 basic maize inbred lines by SSR markers. Southwest China J Agric Sci, 2007, 20: 1172-1175. (in Chinese with English abstract)
[10] 韩晴, 沈雪芳, 陆卫平, 王义发, 彭日荷, 姚泉洪. 20个鲜食玉米杂交种DNA指纹库的构建. 上海农业学报, 2014, 30(1): 36-39.
Han Q, Shen X F, Lu W P, Wang Y F, Peng R H, Yao Q H. Construction of DNA fingerprint database of 20 table corn hybrids. Acta Agric Shanghai, 2014, 30(1): 36-39. (in Chinese with English abstract)
[11] 倪维晨, 李瑞霞, 陶启威, 张戟, 毕研飞, 钱春桃. 基于SSR标记的地方品种糯性小玉米自交系指纹图谱构建. 浙江农业科学, 2019, 60: 911-914.
Ni W C, Li R X, Tao Q C, Zhang J, Bi Y F, Qian C T. Construction of fingerprints of inbred lines of landrace waxy maize based on SSR markers. J Zhejiang Agric Sci, 2019, 60: 911-914. (in Chinese)
[12] 王凤格, 杨扬, 易红梅, 赵久然, 任洁, 王璐, 葛建镕, 江彬, 张宪晨, 田红丽, 侯振华. 中国玉米审定品种标准SSR指纹库的构建. 中国农业科学, 2017, 50: 1-14.
Wang F G, Yang Y, Yi H M, Zhao J R, Ren J, Wang L, Ge J R, Jiang B, Zhang X C, Tian H L, Hou Z H. Construction of an SSR-based standard fingerprint database for corn variety authorized in China. Sci Agric Sin, 2017, 50: 1-14. (in Chinese with English abstract)
[13] 易红梅, 任洁, 王璐, 王蕊, 葛建镕, 王凤格, 赵久然, 徐明良.2014-2019 年国家玉米区域试验参试组合DNA指纹检测及遗传多样性分析. 华北农学报, 2020, 35(3): 87-93.
Yi H M, Ren J, Wang L, Wang R, Ge J R, Wang F G, Zhao J R, Xu M L. DNA fingerprinting and genetic diversity analysis of national maize regional trials in 2014-2019. Acta Agric Boreali-Sin, 2020, 35(3): 87-93. (in Chinese with English abstract)
doi: 10.7668/hbnxb.20191055
[14] 赵静, 孙娟, 张仁和, 薛吉全. 基于SSR技术分析陕西省玉米主栽品种的遗传多样性. 西北农业学报, 2008, 17(3): 124-128.
Zhao J, Sun J, Zhang R H, Xue J Q. Genetic diversity of main maize cultivars in Shaanxi province analysed by SSR markers. Acta Agric Boreali-Occident Sin, 2008, 17(3): 124-128. (in Chinese with English abstract)
[15] 谭君. 四川常用玉米自交系、杂交种的SSR指纹图谱构建. 四川农业大学硕士学位论文, 四川成都, 2003.
Tan J. SSR Fingerprints of Maize Inbred-lines and Hybrids Widely Used in Sichuan. MS Thesis of Sichuan Agricultural University, Chengdu, Sichuan, China, 2003. (in Chinese with English abstract)
[16] 李承宗. 河北省审定玉米杂交种和亲本SSR指纹图谱的构建. 中国农业科学院硕士学位论文,北京, 2012.
Li C Z. The Hybrids Validation Research and the Establishment of Their Parents by SSR Fingerprinting in Hebei Province. MS Thesis of Chinese Academy of Agricultural Sciences, Beijing, China, 2012. (in Chinese with English abstract)
[17] 高玉倩, 田红丽, 王凤格, 赵久然, 陈学军, 王璐, 易红梅, 原亚萍. 吉林省玉米新品种SSR标记指纹数据库的构建及其分析. 玉米科学, 2012, 20(3): 43-47.
Gao Y Q, Tian H L, Wang F G, Zhao J R, Chen X J, Wang L, Yi H M, Yuan Y P. Construction and analysis of the SSR-based fingerprinting database for new maize varieties in Jilin province. J Maize Sci, 2012, 20(3): 43-47. (in Chinese with English abstract)
[18] 王凤格, 班秀丽, 杨扬, 易红梅, 黄庭君. 吉林审定玉米品种SSR指纹图谱. 北京: 中国农业科学技术出版社, 2019. pp 1-9.
Wang F G, Ban X L, Yang Y, Yi H M, Huang T J. SSR Fingerprint of Jilin Approved Maize Varieties. Beijing: China Agricultural Science and Technology Press, 2019. pp 1-9. (in Chinese)
[19] 唐浩, 余汉勇, 张新明, 魏兴华. 水稻新品种测试的标准品种DNA指纹图谱多样性分析. 植物遗传资源学报, 2015, 16: 100-106.
Tang H, Yu H Y, Zhang X M, Wei X H. Analysis on the diversity of DNA fingerprinting of the example varieties used for the test of rice new varieties. J Plant Genet Res, 2015, 16: 100-106. (in Chinese with English abstract)
[20] 李宏博, 庞斌双, 刘丽华, 刘阳娜, 赵昌平, 陈景堂. 河北区试小麦品种(系) DNA指纹图谱构建及遗传差异分析. 生物技术通报, 2015, 31(6): 93-99.
doi: 10.13560/j.cnki.biotech.bull.1985.2015.06.034
Li H B, Pang B S, Liu L H, Liu Y N, Zhao C P, Chen J T. Construction of DNA fingerprinting and analysis of genetic diversity for wheat varieties (lines) in regional test of Hebei. Biotechnol Bull, 2015, 31(6): 93-99. (in Chinese with English abstract)
[21] 聂新辉, 尤春源, 黄聪, 郭欢乐, 王夏青, 赵文霞, 林忠旭. 新陆早棉花品种DNA指纹图谱的构建及遗传多样性分析. 作物学报, 2014, 40: 2104-2117.
doi: 10.3724/SP.J.1006.2014.02104
Nie X H, You C Y, Huang C, Guo H L, Wang X Q, Zhao W X, Lin Z X. Construction of DNA fingerprinting and analysis of genetic diversity for Xinluzao cotton cultivars. Acta Agron Sin, 2014, 40: 2104-2117. (in Chinese with English abstract)
doi: 10.3724/SP.J.1006.2014.02104
[22] 齐广勋, 王英男, 袁翠平, 王玉民, 刘晓冬, 李玉秋, 董英山, 赵洪锟. 基于SSR标记的不同地理生态型野生大豆遗传多样性分析. 大豆科学, 2021, 40: 334-343.
Qi G X, Wang Y N, Yuan C P, Wang Y M, Liu X D, Li Y Q, Dong Y S, Zhao H K. Genetic diversity analysis of wild soybean (Glycine soja) populations with different geographical ecotypes based on SSR markers. Soybean Sci, 2021, 40: 334-343. (in Chinese with English abstract)
[23] 陈发波, 杨克诚, 荣廷昭, 潘光堂. 西南及四川区试玉米组合遗传多样性分析. 作物学报, 2007, 33: 991-998.
Chen F B, Yang K C, Rong T Z, Pan G T. Analysis of genetic diversity of maize hybrids in the regional tests of Sichuan and southwest China. Acta Agron Sin, 2007, 33: 991-998. (in Chinese with English abstract)
[24] 王利锋, 李会勇, 唐保军, 程泽强, 王振华, 铁双贵. 利用表型和SSR标记分析河南省玉米地方品种的遗传多样性. 中国农业科学, 2009, 42: 1136-1144.
Wang L F, Li H Y, Tang B J, Cheng Z Q, Wang Z H, Tie S G. Genetic diversity analysis of Henan maize landrace by phenotype hand simple sequence repeat (SSR) markers. Sci Agric Sin, 2009, 42: 1136-1144. (in Chinese with English abstract)
[25] 王凤格, 田红丽, 赵久然, 王璐, 易红梅, 宋伟, 高玉倩, 杨国航. 中国328个玉米品种 (组合) SSR标记遗传多样性分析. 中国农业科学, 2014, 47: 856-864.
Wang F G, Tian H L, Zhao J R, Wang L, Yi H M, Song W, Gao Y Q, Yang G H. Genetic diversity analysis of 328 maize varieties (hybridized combinations) using SSR markers. Sci Agric Sin, 2014, 47: 856-864. (in Chinese with English abstract)
[26] 王凤格, 易红梅, 赵久然, 刘平, 张新明, 田红丽, 堵苑苑. 玉米品种鉴定技术规程SSR标记法. NY/T 1432-2014, 2014.
Wang F G, Yi H M, Zhao J R, Liu P, Zhang X M, Tian H L, Du Y Y. Protocol for the Identification of Maize Varieties—SSR Marker Method. NY/T 1432-2014, 2014. (in Chinese)
[27] Jiang B, Zhao Y K, Yi H M, Huo Y X, Wu H T, Ren J, Ge J R, Zhao J R, Wang F G. PIDS: a user-friendly plant DNA fingerprint database management system. Genes, 2020, 11: 373.
[28] Tessier C, David J, This P, Boursiquot J M, Charrier A. Optimization of the choice of molecular markers for varietal identification in Vitis vinifera L. Theor Appl Genet, 1999, 98: 171-177.
doi: 10.1007/s001220051054
[29] Liu K J, Muse S V. PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinformatics, 2005, 21: 2128-2129.
pmid: 15705655
[30] Kumar S, Stecher G, Tamura K. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol, 2016, 33: 1870-1874.
doi: 10.1093/molbev/msw054 pmid: 27004904
[31] Rogers J S. Measures of Genetic Similarity and Genetic Distance. State of Texas:University of Texas Publication 7213 Austin, 1972. pp 145-153.
[32] He Z L, Zhang H K, Gao S H, Lercher M J, Chen W H, Hu S N. Evolview v2: an online visualization and management tool for customized and annotated phylogenetic trees. Nucleic Acids Res, 2016, 44 (W1): 236-241.
doi: 10.1093/nar/gkw370 pmid: 27131786
[33] 王凤格, 赵久然, 田红丽. 玉米品种DNA指纹鉴定技术100问. 北京: 中国农业科学技术出版社, 2013. p 1.
Wang F G, Zhao J R, Tian H L. 100 Questions on DNA Fingerprint Identification Technology of Maize Varieties. Beijing: China Agricultural Science and Technology Press, 2013. p 1. (in Chinese)
[34] 石淑芹, 陈佑启, 李正国, 杨鹏, 吴文斌, 汤芳. 基于空间插值分析的指标空间化及吉林省玉米种植区划研究. 地理科学, 2011, 31: 408-414.
Shi S Q, Chen Y Q, Li Z G, Yang P, Wu W B, Tang F. Research on index spatialization based on spatial interpolation analysis and maize planting regionalization in Jilin province. Sci Geograph Sin, 2011, 31: 408-414. (in Chinese with English abstract)
[35] 任景全, 刘玉汐, 王丽伟, 王亮, 王冬妮, 郭春明, 曹铁华. 吉林省地表温度时空变化及影响因素研究. 中国农学通报, 2020, 36(5): 103-109.
Ren J Q, Liu Y X, Wang L W, Wang L, Wang D N, Guo C M, Cao T H. Spatiotemporal variation of surface temperature in Jilin province and its influencing factors. Chin Agric Sci Bull, 2020, 36(5): 103-109. (in Chinese with English abstract)
[36] 廉军, 姜立雁, 李福林, 张健, 王振萍, 王平, 刘学玲. 德美亚系列玉米杂交种对早熟玉米育种的启示. 热带农业工程, 2019, 43(3): 1-3.
Lian J, Jiang L Y, Li F L, Zhang J, Wang Z P, Wang P, Liu X L. Enlightenment of demeiya series maize hybrids on early maturing maize breeding. Trop Agric Eng, 2019, 43(3): 1-3. (in Chinese with English abstract)
[37] 赵久然, 李春辉, 宋伟, 王元东, 张如养, 王继东, 王凤格, 田红丽, 王蕊. 基于SNP芯片揭示中国玉米育种种质的遗传多样性与群体遗传结构. 中国农业科学, 2018, 51: 626-644.
Zhao J R, Li C H, Song W, Wang Y D, Zhang R Y, Wang J D, Wang F G, Tian H L, Wang R. Genetic diversity and population structure of important Chinese maize breeding germplasm revealed by SNP-chips. Sci Agric Sin, 2018, 51: 626-644. (in Chinese with English abstract)
[1] 杨扬, 常诗惠, 田红丽, 易红梅, 王璐, 任洁, 范亚明, 刘亚维, 王凤格, 赵久然. 不同生态区国审玉米品种的遗传多样性分析[J]. 作物学报, 2026, 52(5): 1352-1364.
[2] 徐建霞, 丁延庆, 曹宁, 程斌, 高旭, 李文贞, 王若若, 王磊, 张立异. 397份高粱种质资源在贵州表型多样性分析及综合评价[J]. 作物学报, 2026, 52(4): 1073-1087.
[3] 田春艳, 陆鑫, 吴才文, 徐超华, 刘家勇, 边芯, 桃联安. 基于荧光SSR的甘蔗创新种质遗传多样性分析及育种潜力评估[J]. 作物学报, 2026, 52(4): 1057-1072.
[4] 侯洁, 付朵朵, 武海峰, 郝宇琼, 郑兴卫, 武棒棒, 周凯, 李晓华, 郑军, 赵佳佳. 山西省小麦地方品种的染色体多样性及遗传效应分析[J]. 作物学报, 2026, 52(3): 746-763.
[5] 梅飘, 刘丁丁, 叶圆圆, 张晨禹, 丁诗琦, 李亚奇, 王培鑫, 梅菊芬, 马春雷. 基于茶树液相功能芯片的白化茶树资源遗传多样性分析[J]. 作物学报, 2025, 51(9): 2358-2370.
[6] 王天译, 杨绣娟, 赵佳佳, 郝宇琼, 郑兴卫, 武棒棒, 李晓华, 郝水源, 郑军. 山西小麦醇溶蛋白多样性及其对面粉品质效应研究[J]. 作物学报, 2025, 51(7): 1784-1800.
[7] 王浩辰, 王克晶, 韩娟, 李向华. 东南沿海短绒野大豆两种代表性生境自然种群的空间遗传结构特征:种群内取样策略研究[J]. 作物学报, 2025, 51(11): 2875-2885.
[8] 郑栋, 周仙莉, 滕长才, 侯万伟, 张红岩, 刘玉皎. 基于SSR标记的青海蚕豆品种亲缘关系分析与指纹图谱构建[J]. 作物学报, 2025, 51(1): 79-90.
[9] 匡博文, 韦妳, 刘金典, 陈美燕, 毛兴洁, 段维兴, 杨细平. 基于甘蔗及其近缘属参考基因组开发SSR标记及数据库[J]. 作物学报, 2025, 51(1): 103-116.
[10] 张红岩, 敏玉霞, 滕长才, 彭小星, 陈志凯, 周仙莉, 娄树宝, 刘玉皎. 利用130K液相芯片分析中国蚕豆种质资源遗传多样性[J]. 作物学报, 2024, 50(8): 1989-2000.
[11] 李长喜, 董占鹏, 关永虎, 刘金伟, 李航, 梅拥军. 南疆陆地棉农艺性状与皮棉产量性状的遗传贡献及决策系数分析[J]. 作物学报, 2024, 50(6): 1486-1502.
[12] 柯会锋, 苏红梅, 孙正文, 谷淇深, 杨君, 王国宁, 徐东永, 王洪这, 吴立强, 张艳, 张桂寅, 马峙英, 王省芬. 棉花现代品种资源产量与纤维品质性状鉴定及分子标记评价[J]. 作物学报, 2024, 50(2): 280-293.
[13] 陈志凯, 周仙莉, 张红岩, 滕长才, 侯万伟. 320份蚕豆蛋白质含量的SSR关联分析[J]. 作物学报, 2024, 50(11): 2775-2786.
[14] 苏一钧, 赵路宽, 唐芬, 戴习彬, 孙亚伟, 周志林, 刘亚菊, 曹清河. 378份甘薯引进种遗传多样性及群体结构分析[J]. 作物学报, 2023, 49(9): 2582-2593.
[15] 王倩, 张立媛, 许月, 李海, 刘少雄, 薛亚鹏, 陆平, 王瑞云, 刘敏轩. 黍稷高基元EST-SSR标记开发及200份核心种质资源遗传多样性分析[J]. 作物学报, 2023, 49(8): 2308-2318.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备15008789号-2