遗传教研室
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严建兵
作者:审核:编辑:发布时间:2017-02-21


基本信息



姓名: 严建兵 出生年月:

1976.05


性别: 硕/博导: 博导

民族: 开设课程:

科学伦理与学术规范,遗传学进展,专业导论等


职称: 教授 研究方向: 主要从事玉米基因组学和分子育种研究

学位: 博士




联系方式

办公电话:027-87280110

子邮件:yjianbing@mail.hzau.edu.cn


个人简介

严建兵,永利yl23411教授,博士生导师。兼任永利集团官网入口副董事长,作物遗传改良国家重点实验室副主任,洪山实验室首席科学家、实验室常务副主任等职务。目前主要从事玉米基因组学和分子育种方面的研究。19959-20036月,在永利集团官网入口生命科学技术学院先后获得理学学士、理学博士学位。200312-20059月,在中国农业大学任讲师;200510-20097月,在中国农业大学任教授;200610-20089月,在国际玉米小麦改良中心从事博后研究;200810-20113月,先后在国际玉米小麦改良中心担任副科学家、科学家;20109月至今(含6个月过渡期),于永利集团官网入口担任教授。在本学科主流杂志上发表SCI论文163篇:以第一作者或通讯作者(含共同)在Nat Genet3篇), Nat Commun7篇), PNAS, PLoS Genet, Plant Cell2篇), New Phytol2篇), Mol Plant8篇), Plant J4篇), Plant Physiol6篇)等期刊发表论文83篇。论文累计被引频次总计9038次,单篇最高被引538次,H-index51(基于Web of Science20210725)。先后主持多项国家自然科学基金项目、转基因专项、863项目、十三五国家重点研发专项等国家级项目及课题。目前为中国作物学会常务理事;中国植物生理与分子生物学学会理事。作物学报,Genome Biology, Plant Journal, Theoretical and Applied Genetics, Journal of Integrative Plant Biology, Science China Life Sciences, Journal of Genetics and Genomics等学术期刊编委。


科研项目

1. 国家重点研发计划-“战略性科技创新合作”专项,2020YFE0202300G2P: 农作物基因资源阐析,2020.06-2024.06,在研,主持

2. 国家自然基金联合基金项目,U1901201,甜玉米品质遗传基础解析及关键基因挖掘和利用,2020.01-2023.12,在研,主持

3. 国家自然基金联合基金项目国际(地区)合作与交流项目,31961133002,结合多组学和新兴技术开展基于知识驱动的玉米产量遗传改良,2019.01-2021.12,在研,主持

4. 国家自然基金重点项目,31730064,玉米单倍体诱导机制的遗传和分子解析,2018.01-2022.12,在研,主持

5. 国家重点研发计划七大作物育种专项课题,2016YFD0101003,玉米产量、品质性状的功能基因组与调控网络,2016.07-2020.12,在研,主持

6. 国家自然基金国家杰出青年科学基金项目,31525017,玉米基因组学与分子育种,2016.01 - 2020.12,在研,主持

7. 国家科技重大专项转基因项目,2014ZX0800944B,控制玉米和水稻粒重主效QTL的克隆和功能分析,2014.01-2016.12,结题,主持

8. 国家高技术研究发展计划(863计划),2012AA10A307,玉米大规模功能基因发掘及基因组学研究的资源、技术、信息等平台建设,2012.01-2015.12,结题,主持

9. 国家自然基金优秀青年科学基金项目,31222041,玉米基因组学与分子育种,2013.01-2015.12,结题,主持

10. 国家自然基金国际(地区)合作与交流项目,31161140347,结合连锁和关联分析剖析玉米主要叶部病害的遗传结构,2012.01-2016.12,结题,主持

11. 国家自然基金优秀国家重点实验室研究项目,31123009,玉米和水稻重要性状的全基因组关联分析,2012.01-2015.12,结题,主持


发明专利及获得奖励

发明专利:

1. METHODS OF IDENTIFYING, SELECTING, AND PRODUCING SOUTHERN CORN RUST RESISTANT CROPS,授权专利(美国),WO 2019/236257 A1 1/8

2. 控制玉米株高和穗位高基因ZKM89及其应用,授权专利(中国),ZL 2019 1 1271451.84/6

3. 一种控制玉米雌性性状的基因以及用于创制玉米雌性不育系的试剂盒、突变基因型和方法,授权专利(中国),ZL 2019 1 1260400.54/4

4. 一种基因组特定区域的DNA测序方法,授权专利(中国),ZL 2018 1 1606050.92/3

5. 控制玉米叶宽基因ZmNL4及其应用,授权专利(中国),ZL 2018 1 0108676.01/2

6. 一种含CCT结构域的转录因子ZmCOL3及其编码基因、载体、宿主菌和应用,授权专利(中国),ZL 2017 1 0668440.8 3/9

7. 调控玉米生育酚合成的核苷酸序列及其应用,授权专利(中国),ZL 2017 1 0431535.82/2

8. 一种与玉米GPAT基因连锁的SNP位点及其应用,授权专利(中国),ZL 2012 1 0444681.11/4

9. 一种玉米油份含量相关的LACS基因位点及其应用,授权专利(中国),ZL 2012 1 0444682.6 1/4

10. 一种玉米油份含量相关基因的分子标记的应用,授权专利(中国),ZL 2012 1 0444716.11/4

11. 玉米油份含量相关的衣被蛋白复合体(COP)基因位点及应用,授权专利(中国),ZL 2012 1 0444717.6 1/4

12. 一种玉米油份含量相关的SNP位点及其应用,授权专利(中国),ZL 2012 1 0444673.71/4


主要奖励:

1. 2019年 获湖北“师德先进个人”荣誉称号

2. 2018年 荣获第七届中国侨界贡献奖二等奖

3. 2017年 入选第三批“万人计划”科技创新领军人才

4. 2016年 荣获国家技术发明奖二等奖(第二完成人);获第14届中国青年科技奖;入选科技部创新人才推进计划“中青年科技创新领军人才”;入选“长江学者奖励计划”特聘教授

5. 2015年 入选农业部“农业科研杰出人才”,带领的玉米团队入选农业部“创新团队”和湖北省自然基金委创新团队;获国家杰出青年科学基金

6. 2014年 荣获国际玉米小麦改良中心青年杰出员工

7. 2013年 入选首批中组部“万人计划-青年拔尖人才计划”、教育部技术发明奖一等奖(第二完成人)

8. 2012年 获国家自然科学基金委优秀青年基金、荣获湖北省青年五四奖章光荣称号

9. 2011年 入选“新世纪优秀人才支持计划”(教育部)、荣获“杜邦青年教授奖” (该奖项每年授予全世界范围内生命科学,农学,工程,电子等不同学科领域取得突出贡献的青年科学家,严建兵教授是2011年度我国唯一的获奖者、当年全球共有18人获奖)

10. 2010年 荣获日本“国际青年农业科学家奖” (该奖项由日本农业部颁发,每年在全世界范围内奖励三名在农业研究方面做出突出贡献的青年农业科学家)


发表的论文及著作

学术论文

1. Zhou Q#, Fu Z#*, Liu H, Wang J, Guo Z, Zhang X, Tian R, Liu Y, Qu J, Li W, Yan J*, Tang J* (2021) Mining novel kernel size-related genes by pQTL mapping and multi-omics integrative analysis in developing maize kernels. Plant Biotechnol J, doi: 10.1111/pbi.13634

2. Fernie AR*, Alseekh S, Liu J, Yan J*(2021) Using Precision Phenotyping to Inform de novo Domestication. Plant Physiol, doi: 10.1093/plphys/kiab160

3. Xiao Y#, Jiang S#, Cheng Q#, Wang X#, Yan J, Zhang R, Qiao F, Ma C, Luo J, Li W, Liu H, Yang W, Song W, Meng Y, Warburton ML, Zhao J*, Wang X*, Yan J*(2021) The genetic mechanism of heterosis utilization in maize improvement. Genome Biol, 10;22(1):148

4. Liang Y#, Liu H#, Yan J*, Tian F* (2021) Natural Variation in Crops: Realized Understanding, Continuing Promise. Annu Rev Plant Biol, doi: 10.1146/annurev-arplant-080720-090632

5. Li W, Yu Y, Wang L, Luo Y, Peng Y, Xu Y, Liu X, Wu S, Jian L, Xu J, Xiao Y*, Yan J*(2021) The genetic architecture of the dynamic changes in grain moisture in maize. Plant Biotechnol J, 19(6):1195-1205

6. Yang N*, Yan J*(2021) New genomic approaches for enhancing maize genetic improvement. Curr Opin Plant Biol, 60:101977

7. Liu N, Du Y, Warburton ML, Xiao Y*, Yan J*(2020) Phenotypic plasticity contributes to maize adaptation and heterosis. Mol Biol Evol, 38(4):1262-1275

8. Liu J*, Fernie AR, Yan J*(2020) Crop breeding - from experience-based selection to precision design. J Plant Physiol, 256:153313

9. Liu J, Li J, Wang H*, Yan J*(2020) Application of Deep Learning in Genomics. Sci China Life Sci, 63(12):1860-1878

10. Li Q*, Yan J* (2020) Sustainable agriculture in the era of omics: knowledge-driven crop breeding. Genome Biol, 21(1):154

11. Gui S, Yang L, Li J, Luo J, Xu X, Yuan J, Chen L, Li W, Yang X, Wu S, Li S, Wang Y, Zhu Y, Gao Q, Yang N*, Yan J* (2020) ZEAMAP, a comprehensive database adapted to the maize multi-omics era. iScience, 23(6):101241

12. Luo C, Femie AR, Yan J* (2020) Single-Cell Genomics and Epigenomics: Technologies and Applications in Plants. Trends Plant Sci, 25(10):1030-1040

13. Huang J, Lu G, Liu L, Raihan MS, Xu J, Jian L, Zhao L, Thu M. Tran, Zhang Q, Liu J, Li W, Wei C, Braun DM, Li Q, Fernie AR, Jackson D*, Yan J* (2020) The kernel size-related quantitative trait locus qKW9 encodes a pentatricopeptide repeat protein that affects photosynthesis and grain filling. Plant Physiol, 183(4):1696-1709

14. Fernie AR*, Yan J* (2020) Targeting Key Genes to Tailor Old and New Crops for a Greener Agriculture. Mol Plant, 13(3):354-356

15. Wang S#, Tian L#, Liu H#, Li X, Zang J, Chen X, Jia X, Zheng X, Chen Y, Yan J*, Wu L* (2020) Large-scale Discovery of Non-conventional Peptides in Maize and Arabidopsis Through an Integrated Peptidogenomic Pipeline. Mol Plant, 13 (7): 1078-1093

16. Liu H#, Jian L#, Xu J#, Zhang Q, Zhang M, Jin M, Peng Y, Yan J, Han B, Liu J, Gao F, Liu X, Huang L, Wei W, Ding Y, Yang X, Li Z, Zhang M, Sun J, Bai M, Song W, Chen H, Sun X, Li W, Lu Y, Liu Y, Zhao J, Qian Y, Jackson D, Fernie AR, Yan J* (2020) High-Throughput CRISPR/Cas9 Mutagenesis Streamlines Trait Gene Identification in Maize. Plant Cell, 32(5):1397-1413

17. Liu H#, Wang X#, Xiao Y#, Luo J#, Qiao F#, Yang W#, Zhang R#, Meng Y, Sun J, Yan S, Peng Y, Niu L, Jian L, Song W, Yan J, Li C, Zhao Y, Liu Y, Warburton ML,  Zhao J*, Yan J* (2020) CUBIC: an atlas of genetic architecturepromises directed maize improvement. Genome Biol, 21(1):20

18. Liu J*, Fernie AR, Yan J*(2020) The past, present and future of maize improvement – domestication, genomics and functional genomic routes towards crop enhancement. Plant Commun, 1,100010

19. Yang N, Wu Shen, Yan J* (2019) Structural variation in complex genome: detection, integration and function. Sci China Life Sci, 62(8): 1098-1100

20. Peng Y#, Xiong D#, Zhao L, Ouyang W, Wang S, Sun J, Zhang Q, Guan P, Xie L, Li W, Li G*, Yan J*, Li X* (2019) Chromatin interaction maps reveal genetic regulation for quantitative traits in maize. Nat Commun, 10(1):2632

21. Yan J*, Tan BC (2019) Maize biology: From functional genomics to breeding application. J Integr Plant Biol, 2019, 61(6):654-657

22. Zhan W, Liu J, Pan Q, Wang H, Yan S, Li K, Deng M, Li W, Liu N, Kong Q, Fernie AR, Yan J* (2019) An allele of ZmPORB2 encoding a protochlorophyllide oxidoreductase promotes tocopherol accumulation in both leaves and kernels of maize. Plant J, 100(1):114-127

23. Yang N#, Liu J#, Gao Q#, Gui S, Chen L, Yang L, Huang J, Deng T, Luo J, He L, Wang Y, Xu P, Peng Y, Shi Z, Lan L, Ma Z, Yang X, Zhang Q, Bai M, Li S, Li W, Liu L, Jackson D, Yan J* (2019) Genome assembly of a tropical maize inbred line provides insights into structural variation and crop improvement. Nat Genet, 51(6):1052-1059

24. Fernie AR*, Yan J* (2019) De Novo Domestication: An Alternative Route toward New Crops for the Future. Mol Plant, 12(5):615-631

25. Li K#, Wen W#, Alseekh S, Yang X, Guo H, Li W, Wang L, Pan Q, Zhan W, Liu J, Li Y, Wu X, Brotman Y, Willmitzer L, Li J*, Fernie AR*, Yan J* (2019) Large-scale metabolite quantitative trait locus analysis provides new insights for high-quality maize improvement. Plant J, 99(2):216-230

26. Li X#, Chen L#, Zhang Q, Sun Y, Li Q*, Yan J* (2019) BRIF-Seq: Bisulfite-Converted Randomly Integrated Fragments Sequencing at the Single-Cell Level. Mol Plant, 12(3):438-446

27. Luo C#, Li X*#, Zhang Q, Yan J*(2019) Single gametophyte sequencing reveals that crossover events differ between sexes in maize. Nat Commun, 10(1):785

28. Wen W#, Jin M#, Li K, Liu H, Xiao Y, Zhao M, Alseekh S, Li W, de Abreu E Lima F, Brotman Y, Willmitzer L, Fernie AR*, Yan J* (2018) An Integrated Multi-layered Analysis of the Metabolic Networks of Different Tissues Uncovers Key Genetic Components of Primary Metabolism in Maize. Plant J, 93(6): 1116–1128

29. Wang H, Xu S, Fan Y, Liu N, Zhan W, Liu H, Xiao Y, Li K, Pan Q, Li W, Deng M, Liu J, Jin M, Yang X, Li J, Li Q*, Yan J* (2018) Beyond pathways: genetic dissection of tocopherol content in maize kernels by combining linkage and association analyses. Plant Biotechnol J, 16(8):1464-1475

30. Liu H*, Yan J*(2018) Crop genome-wide association study: A harvest of biological relevance. Plant J, 97(1): 8-18

31. Jin M, Liu X*, Jia W, Liu H, Li W, Peng Y, Du Y, Wang Y, Yin Y, Zhang X, Liu Q, Deng M, Li N, Cui C, Hao D, Yan J* (2018) ZmCOL3, a CCT gene represses flowering in maize by interfering with the circadian clock and activating expression of ZmCCT. J Integr Plant Biol, 60(6):465-480

32. Ma H, Li G, Würschum T, Zhang Y, Zheng D, Yang X, Li J, Liu W*, Yan J*, Chen S* (2018) Genome-Wide Association Study of Haploid Male Fertility in Maize (Zea Mays L.). Front Plant Sci, 9:974

33. Liu C#, Li X#, Meng D#, Zhong Y, Chen C, Dong X, Xu X, Chen B, Li W, Li L, Tian X, Zhao H, Song W, Luo H, Zhang Q, Lai J, Jin W*, Yan J*(2017) A 4-bp Insertion at ZmPLA1 Encoding a Putative Phospholipase A Generates Haploid Induction in Maize. Mol Plant, 10(3):520-522

34. Liu H#, Luo X#, Niu L, Xiao Y, Chen L, Liu J, Wang X, Jin M, Li W, Zhang Q, Yan J*(2017) Distant eQTLs and non-coding sequences play critical roles in regulating gene expression and quantitative trait variation in maize. Mol Plant, 10(3):414-426

35. Zhang X#, Huang C#, Wu D, Qiao F, Li W, Duan L, Wang K, Xiao Y, Chen G, Liu Q, Xiong L, Yang W*, Yan J*(2017) High-throughput phenotyping and QTL mapping reveals the genetic architecture of maize plant growth. Plant Physiol, 173(3):1554-1564

36. Xiao Y#, Liu H#, Wu L#, Warburton M, Yan J*(2017) Genome-wide association studies in maize: praise and stargaze. Mol Plant, 10(3):359-374

37. Liu J, Huang J, Guo H, Lan L, Wang H, Xu Y, Yang X, Li W, Tong H, Xiao Y, Pan Q, Qiao F, Raihan MS, Liu HJ, Zhang X, Yang N, Wang X, Deng M, Jin M, Zhao L, Luo X, Zhou Y, Li X, Zhan W, Liu N, Wang H, Chen G, Li Q*, Yan J*(2017) The Conserved and Unique Genetic Architecture of Kernel Size and Weight in Maize and Rice. Plant Physiol, 175(2):774-785

38. Yang N#, Xu X#, Wang R, Peng W, Cai L, Song J, Li W, Luo X, Niu L, Wang Y, Jin M, Chen L, Luo J, Deng M, Wang L, Pan Q, Liu F, Jackson D, Yang X, Chen L*, Yan J*(2017) Contributions of Zea mays subspecies mexicana haplotypes to modern maize. Nat Commun, 8(1):1874

39. Li X#, Meng D#, Chen S, Luo H, Zhang Q, Jin W*, Yan J* (2017) Single nucleus sequencing reveals spermatid chromosome fragmentation as a possible cause of maize haploid induction. Nat Commun, 8(1):991

40. Deng M, Li D, Luo J, Xiao Y, Liu H, Pan Q, Zhang X, Jin M, Zhao M, Yan J*(2017) The genetic architecture of amino acids dissection by association and linkage analysis in maize. Plant Biotechnol J, 15(10):1250-1263

41. Pan Q, Xu Y, Li K, Peng Y, Zhan W, Li W, Li L*, Yan J*(2017) The Genetic Basis of Plant Architecture in 10 Maize Recombinant Inbred Line Populations. Plant Physiol, 175(2):858-873

42. Liu H*, Yan J*(2017) RICE DOMESTICATION An imperfect African solution. Nat Plants, 3(6):17083

43. Raihan MS, Liu J, Huang J, Guo H, Pan QC, Yan J*2016Multi-environment QTL analysis of grain morphology traits and fine mapping of a kernel-width QTL in Zheng58 × SK maize population. Theor Appl Genet, 129:1465–1477

44. Pan Q, Li L, Yang X, Tong H, Xu S, Li Z, Li W, Muehlbauer G, Li J, Yan J* (2016) Genome-wide recombination dynamics are associated with phenotypic variation in maize. New Phytol, 210(3):1083-1094

45. Xiao Y, Tong H, Yang X, Xu S, Pan Q, Qiao F, Raihan M, Luo Y, Liu H, Zhang X, Yang N, Wang X, Deng M, Jin M, Zhao L, Luo X, Zhou Y, Li X, Liu J, Zhan Wei, Liu N, Wang H, Chen G, Cai Y, Xu G, Wang W, Zheng D,Yan J* (2016) Genome-wide dissection of the maize ear genetic architecture by using multiple populations. New Phytol, 210(3):1095-1106

46. Jin M#, Liu H#, He C#, Fu J*, Xiao Y, Wang Y, Xie W, Wang G, Yan J*(2016) Maize pan-transcriptome provides novel insights into genome complexity and quantitative trait variation. Sci Rep-UK6:18936

47. Liu J, Deng M, Guo H, Raihan D, Luo J, Xu Y, Dong X, Yan J* (2015) Maize orthologs of rice GS5 and their trans-regulator are associated with kernel development. J Integr Plant Biol,57(11):943-953

48. Ding J, Ali F, Chen G, Li H, Mahuku G, Yang N, Narro L, Magorokosho C, Makumbi D, Yan J*(2015) Genome-wide association mapping reveals novel sources of resistance to northern corn leaf blight in maize. BMC Plant Biol,15:206

49. Wen W, Li K, Alseekh S, Omranian N, Zhao L, Zhou Y, Xiao Y, Jin M, Yang N, Liu H, Florian A, Li W, Pan Q, Nikoloski Z, Yan J*, Fernie A* (2015) Genetic Determinants of the Network of Primary Metabolism and Their Relationships to Plant Performance in a Maize Recombinant Inbred Line Population. Plant Cell, 27(7): 1839–1856

50. Xing A, Gao Y, Ye L, Zhang W, Cai L, Ching A, Llaca V, Johnson B, Liu L, Yang XH, Kang D*, Yan J*, Li J* (2015) A rare SNP mutation in Brachytic2 moderately reduces plant height and increases yield potential in maize. J Exp Bot,66 (13): 3791-3801

51. Liu H, Wang X, Warburton M, Wen W, Jin M, Deng M, Liu J, Tong H, Pan Q, Yang X, Yan J*(2015) Genomic, Transcriptomic, and Phenomic Variation Reveals the Complex Adaptation of Modern Maize Breeding. Mol Plant, 8(6): 871-84

52. Li X, Li L, Yan J* (2015) Dissecting meiotic recombination based on tetrad analysis by single microspore sequencing in maize. Nat Commun,6: 6648

53. Guo T, Yang N, Tong H, Pang Q, Yang X, Tang J, Wang J, Li J, Yan J* (2014) Genetic basis of grain yield heterosis in an “immortalized F2s” maize population. Theor Appl Genet,127: 2149-2158

54. Yang N, Lu Y, Yang X, Huang J, Zhou Y, Ali F, Wen W, Liu J, Li J, Yan J*(2014) Genome Wide Association Studies Using a New Nonparametric Model Reveal the Genetic Architecture of 17 Agronomic Traits in an Enlarged Maize Association Panel. PLoS Genet, 10(9):e1004573

55. Wen W, Li D, Li X, Gao Y, Li W, Li H, Liu J, Liu H, Chen W, Luo J*, Yan J* (2014) Metabolome-based genome-wide association study of maize kernel leads to novel biochemical insights. Nat Commun,5:3438

56. Fu J, Cheng Y, Linghu J, Yang X, Kang L, Zhang Z, Zhang J, He C, Du X, Peng Z, Wang B, Zhai L, Dai C, Xu J, Wang W, Li X, Zheng J, Chen L, Luo L, Liu J, Qian X, Yan J*, Wang J*, Wang G* (2013) RNA sequencing reveals the complex regulatory network in the maize kernel. Nat Commun,4:2832

57. Yang Q, Li Z, Li W, Ku L, Ye J, Li K, Yang N, Li Y, Zhong T, Li J, Chen Y*, Yan J*, Yang X*, Xu M* (2013) CACTA-like transposable element in ZmCCT attenuated photoperiod sensitivity and accelerated the postdomestication spread of maize. ProcNatlAcadSciUSA,110(42):16969-16974

58. Xue Y, Warburton ML, Sawkins M, Zhang X, Setter T, Xu Y, Grudloyma P, Gethi J, Ribaut JM, Li W, Zhang X, Zheng Y, Yan J* (2013) Genome-wide association analysis for nine agronomic traits in maize under well-watered and water-stressed conditions. Theor Appl Genet, 126(10): 2587-2596

59. Ali F, Pan Q, Chen G, Zahid KR, Yan J* (2013) Evidence of multiple disease resistance (MDR) and implication of meta-analysis in marker assisted selection. PLoS ONE, 8 (7): e68150

60. Fu Z, Chai Y, Zhou Y, Yang X, Warburton ML, Xu S, Cai Y, Zhang D, Li J, Yan J* (2013) Natural variation in the sequence of PSY1 and frequency of favorable polymorphisms among tropical and temperate maize germplasm. Theor Appl Genet,126(4):923-35

61. Li H, Peng Z, Yang X, Wang W, Fu J, Wang J, Han Y, Chai Y, Guo T, Yang N, Liu J, Warburton ML, Cheng Y, Hao X, Zhang P, Zhao J, Liu Y, Wang G*, Li J*, Yan J*(2013) Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels. Nat Genet,45(1): 43-50

62. Pan Q, Ali F, Yang X, Li J, Yan J* (2012) Exploring the genetic characteristics of two recombinant inbred line populations via high-density SNP markers in maize. PLoS ONE, 7(12): e52777

63. Xu S, Zhang D, Cai Y, Zhou Y, Shah T, Ali F, Li Q, Li Z, Wang W, Li J, Yang X, Yan J* (2012) Dissecting tocopherols content in maize (Zea mays L.), using two segregating populations and high-density single nucleotide polymorphism markers. BMC Plant Biol, 12:201

64. Li Q, Yang X, Xu S, Cai Y, Zhang D, Han Y, Li L, Zhang Z, Gao S, Li J*, Yan J* (2012) Genome-wide association studies identified three independent polymorphisms associated with α-tocopherol content in maize kernels. PLoS ONE, 7 (5): e36807

65. Ali F, Yan J* (2012) Disease resistance in maize and the role of molecular breeding in defending against global threat. J Integr Plant Biol,54(3): 134-151

66. Yang X, Gao S, Xu S, Zhang Z, Prasanna BM, Li L, Li J, Yan J* (2011) Characterization of a global germplasm collection and its potential utilization for analysis of complex quantitative traits in maize. Mol Breeding, 28 (4): 511-526

67. Wen W, Araus JL, Shah T, Cairns J, Mahuku G, Bänziger M, Torres JL, Sánchez C, Yan J* (2011) Molecular characterization of a diverse maize inbred line collection and its potential utilization for stress tolerance improvement. Crop Sci,51 (6): 2569-2581

68. Li L, Li H, Li Q, Yang X, Zheng D, Warburton ML, Chai Y, Zhang P, Guo Y, Yan J*, Li J* (2011) An 11-bp Insertion in Zea mays fatb reduces the palmitic acid content of fatty acids in maize grain. PLoS ONE, 6 (9): e24699

69. Yang X, Xu Y, Shah T, Li H, Han Z, Li J, Yan J* (2011) Comparison of SSRs and SNPs in assessment of genetic relatedness in maize. Genetica,139 (8): 1045-1054

70. Yan J*, Warburton ML, Crouch J (2011) Association mapping for enhancing maize (Zea mays L.) genetic improvement. Crop Sci,51 (2): 433-449

71. Zhou J, Guo Y, Gao Y, Li J, Yan J* (2011)A SSR linkage map of maize × teosinte F2 population and analysis of segregation distortion. Agr Sci China, 10 (2): 166-174

72. Wen W, Taba S, Shah T, Tovar VHC, Yan J* (2011) Detection of genetic integrity of conserved maize (Zea mays L.) germplasm in genebanks using SNP markers. Genet Resour Crop Ev,58 (2): 189-207

73. Yang X, Yan J*, Shah T, Warburton ML, Li Q, Li L, Gao Y, Chai Y, Fu Z, Zhou Y, Xu S, Bai G, Meng Y, Zheng Y, Li J* (2010) Genetic analysis and characterization of a new maize association mapping panel for quantitative trait loci dissection. Theor Appl Genet, 121 (3): 417-431

74. Li Q, Li L, Yang X, Warburton M, Bai G, Dai J, Li J, Yan J* (2010) Relationship, evolutionary fate and function of two maize co-orthologs of rice GW2 associated with kernel size and weight. BMC Plant Biol,10 (1): 143

75. Li L, Li H, Li J, Xu S, Yang X, Li J, Yan J* (2010) A genome-wide survey of maize lipid-related genes: Candidate genes mining, digital gene expression profiling and co-location with QTL for maize kernel oil. Sci China Life Sci,53(6): 690-700

76. Yan J*, Yang X, Shah T, Sánchez-Villeda H, Li J, Warburton ML, Zhou Y, Crouch JH, Xu Y* (2010) High-throughput SNP genotyping with the Golden Gate assay in maize. Mol Breeding, 25 (3): 441-451

77. Li Q, Yang X, Bai G, Warburton ML, Mahuku G, Gore M, Dai J, Li J*, Yan J* (2010) Cloning and characterization of a putative GS3 ortholog involved in maize kernel development. Theor Appl Genet, 120 (4): 753-763

78. Yan J#, Kandianis C#, Harjes C, Bai L, Kim E, Yang X, Skinner D, Fu Z, Mitchell S, Li Q, Fernandez M, Zaharieva M, Babu R, Fu Y, Palacios N, Li J, Dellapenna D, Brutnell T, Buckler ES, Warburton ML*, Rocheford T* (2010) Rare genetic variation at Zea mays crtRB1 increases β-carotene in maize grain. Nat Genet, 42 (4): 322-327

79. Fu Z#, Yan J#, Zheng Y, Warburton ML, Crouch JH, Li J (2010) Nucleotide diversity and molecular evolution of the PSY1 gene in Zea mays compared to some other grass species. Theor Appl Genet, 120 (4): 709-720

80. Yan J, Shah T, Warburton ML*, Buckler ES, McMullen MD, Crouch J (2009) Genetic characterization and linkage disequilibrium estimation of a global maize collection using SNP markers. PLoS ONE, 4 (12): e8451

81. Li Q, Li L, Dai J, Li J, Yan J* (2009) Identification and characterization of CACTA transposable elements capturing gene fragments in maize. Chin Sci Bull, 54 (4), 642-651

82. YanJ, Tang H, HuangY, Zheng Y, Subhash C, Li J (2006) A genome scan for quantitative trait loci affecting grain yield and its components of maize both in single-and two-locus levels. Chin Sci Bull, 51 (12): 1452-1461

83. Yan J, Tang H, Huang Y, Zheng Y, Li J (2006) Quantitative trait loci mapping and epistatic analysis for grain yield and yield components using molecular markers with an elite maize hybrid. Euphytica, 149 (1-2): 121-131

84. Yan J, Tang H, Huang Y, Shi Y, Li J, Zheng Y (2003) Dynamic analysis of QTL for plant height at different developmental stages in maize (Zea mays L.). Sci Bull, 48 (23): 2601-2607

85. Alseekh S, Scossa F, Wen W, Luo J, Yan J, Beleggia R, Klee HJ, Huang S, Papa R*, Fernie AR* (2021) Domestication of Crop Metabolomes: Desired and Unintended Consequences. Trends Plant Sci, 26(6):650-661

86. Xu J, Yin Y, Jian L, Han B, Chen Z, Yan J, Liu X*(2021) Seeing is believing: a visualization toolbox to enhance selection efficiency in maize genome editing. Plant Biotechnol J, 19(5):872-874

87. Wu X#, Feng H#, Wu D, Yan S, Zhang P, Wang W, Zhang J, Ye J, Dai G, Fan Y, Li W, Song B, Geng Z, Yang W, Chen G, Qin F, Terzaghi W, Stitzer M, Li L, Xiong L, Yan J, Buckler E, Yang W*, Dai M* (2020) Using high-throughput multiple optical phenotyping to decipher the genetic architecture of maize drought tolerance. Genome Biology, 22 (1):185

88. Liu S#, Li C#, Wang H , Wang S, Yang S, Liu X, Yan J, Li B, Beatty M, Zastrow-Hayes G , Song S*, Qin F* (2020) Mapping regulatory variants controlling gene expression in drought response and tolerance in maize. Genome Biology, 21 (1):163

89. Luo J, Wei C, Liu H, Cheng S, Xiao Y, Wang X, Yan J, Liu J* (2020) Maize CUBIC: a comprehensive variation database for a maize synthetic population. Database, baaa044

90. Zhang H, Xiang Y, He N, Liu X, Liu H, Fang L, Zhang F, Sun X, Zhang D, Li X, Terzaghi W, Yan J, Dai M* (2020) Enhanced Vitamin C Production Mediated by an ABA-Induced PTP-Like Nucleotidase Improves Drought Tolerance of Arabidopsis and Maize. Mol Plant, 13 (5): 760-776

91. Li H*#, Wang M#, Li W#, He L, Zhou Y, Zhu J, Che R , Warburton ML, Yang X , Yan J(2020) Genetic Variants and Underlying Mechanisms Influencing Variance Heterogeneity in Maize. Plant J, 103 (3): 1089-1102

92. Deng M, Zhang X, Luo J, Liu H, Wen W, Luo H, Yan J, Xiao Y* (2020) Metabolomics analysis reveals differences in evolution between maize and rice. Plant J, 103(5): 1710-1722

93. Yang W*, Feng H, Zhang X, Zhang J, Doonan JH, Batchelor WD, Xiong L, Yan J (2020) Crop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives. Mol Plant, 13(2):187-214

94. Liu J*, Tian Z, Xiao Y, Liu H, Hao S, Zhang X, Wang C, Sun J, Yu H, Yan J (2020) Gene Regulatory Relationship Mining Using Improved Three-Phase Dependency Analysis Approach. IEEE/ACM Trans Comput Biol Bioinform, 17(1):339-346

95. Li N, Lin B, Wang H, Li X, Yang F, Ding X, Yan J, Chu Z* (2019) Natural variation in ZmFBL41 confers banded leaf and sheath blight resistance in maize. Nat Genet. 51(10):1540-1548

96. Xu J#, Chen G#, Hermanson PJ, Xu Q, Sun C, Chen W, Kan Q, Li M, Crisp PA, Yan J, Li L, Springer NM*, Li Q* (2019) Population-level analysis reveals the widespread occurrence and phenotypic consequence of DNA methylation variation not tagged by genetic variation in maize. Genome Biol, 20:243

97. Zhang L, Zhang X, Wang X, Xu J, Wang M, Li L, Bai G, Fang H, Hu S, Li J, Yan J, Li J, Yang X* (2019) SEED CAROTENOID DEFICIENT Functions in Isoprenoid Biosynthesis via the Plastid MEP Pathway. Plant Physiol, 179:1723-1738

98. Li H, Thrash A, Tang JD, He L, Yan J, Warburton ML* (2019) Leveraging GWAS data to identify metabolic pathways and networks involved in maize lipid biosynthesis. Plant J, 98(5):853-863

99. Li C#, Song W#, Luo Y#, Gao S#, Zhang R, Shi Z, Wang X, Wang R, Wang F, Wang J, Zhao Y, Su A, Wang S, Li X, Luo M, Wang S, Zhang Y, Ge J, Tan X, Yuan Y, Bi X, He H, Yan J, Wang Y*, Hu S*, Zhao J* (2019) The HuangZaoSi Maize Genome Provides Insights into Genomic Variation and Improvement History of Maize. Mol Plant, 12(3):402-409

100. Xie K*, Guo L, Bai Y, Liu W, Yan J, Bucher M* (2019) Microbiomics and Plant Health: An Interdisciplinary and International Workshop on the Plant Microbiome. Mol Plant, 12(1):1-3

101. Fang H#, Fu X#, Wang Y#, Xu J, Feng H, Li W, Xu J, Jittham O, Zhang X, Zhang L, Yang N, Xu G, Wang M, Li X, Li J, Yan J, Yang X* (2019) Genetic basis of kernel nutritional traits during maize domestication and improvement. Plant J,101(2):278-292

102. Chen Q#, Han Y#, Liu H#, Wang X, Sun J, Zhao B, Li W, Tian J, Liang Y, Yan J, Yang X*, Tian F* (2018) Genome-Wide Association Analyses Reveal the Importance of Alternative Splicing in Diversifying Gene Function and Regulating Phenotypic Variation in Maize. Plant Cell, 30(7):1404-1423, IF=9.378

103. Sun J#, Liu H#, Liu J, Cheng S, Peng Y, Zhang Q, Yan J, Liu HJ*, Chen LL* (2018) CRISPR-Local: a local single-guide RNA (sgRNA) design tool for nonreference plant genomes. Bioinformatics, 35(14): 2501-2503

104. Liu N, Liu J, Li W, Pan Q, Liu J, Yang X, Yan J, Xiao Y* (2018) Intraspecific variation of residual heterozygosity and its utility for quantitative genetic studies in maize. BMC Plant Biol, 18(1):66

105. de Abreu E Lima F#, Li K#, Wen W, Yan J, Nikoloski Z*, Willmitzer L, Brotman Y (2018) Unraveling lipid metabolism in maize with time-resolved multi-omics data. Plant J, 93(6):1102-1115

106. Chen L#, Zhang P#, Fan Y#, Lu Q, Li Q, Yan J, Muehlbauer GJ, Schnable PS, Dai M, Li L*(2018) Circular RNAs mediated by transposons are associated with transcriptomic and phenotypic variation in maize. New Phytol, 217(3):1292-1306

107. Ju C#*, Zhang W#, Liu Y, Gao Y, Wang X, Yan J, Yang X, Li J* (2018) Genetic analysis of seedling root traits reveals the association of root trait with other agronomic traits in maize. BMC Plant Biol , 18(1):171

108. Zhang R#, Xu G#, Li J, Yan J, Li H*, Yang X* (2018) Patterns of genomic variation in Chinese maize inbred lines and implications for genetic improvement. Theor Appl Genet, 131(6):1207-1221

109. Pan Q, Deng M, Yan J, Li L*(2017) Complexity of genetic mechanisms conferring nonuniformity of recombination in maize. SCI REP-UK, 7(1):1205

110. Jin M#, Zhang X#, Zhao M, Deng M, Du Y, Zhou Y, Wang S, Tohge T, Fernie AR, Willmitzer L, Brotman Y, Yan J, Wen W*(2017) Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis. BMC Plant Biol, 17(1):17

111. Wang X#, Wang H#, Liu S, Ferjani A, Li J, Yan J, Yang X*, Qin F* (2016) Genetic variation in ZmVPP1 contributes to drought tolerance in maize seedlings. Nat Genet,48(10):1233-41

112. Liu H, Wang F, Xiao Y, Tian Z, Wen W, Zhang X, Chen X, Liu N, Li W, Liu L, Liu J, Yan J, Liu J*2016MODEM: multi-omics data envelopment and mining in maize. Database,2016. pii: baw117

113. Wen W, Brotman Y, Willmitzer L, Yan J, Fernie AR*2016Broacening Our Portfolio in the Genetic Improvement of Maize Chemical Composition. Trends Genet,32(8):459-69

114. Zhang X, Warburton ML, Setter T, Liu H, Xue Y, Yang N, Yan J, Xiao Y*2016Genome-wide association studies of drought-related metabolic changes in maize using an enlarged SNP panel. Theor Appl Genet, 129:1449–1463

115. Liang X, Wang K, Huang C, Zhang X, Yan J, Yang W*(2016) A high-throughput maize kernel traits scorer based on line-scan imaging. Measurement, 90.453-460

116. Li Z, Chen J, Han L, Wen J, Chen G, Li H, Wang Y, Zhao R, Zhang X, Xia Z, Yan J, Wu J, Ding J*(2016) Association mapping resolving the major loci Scmv2 conferring resistance to sugarcane mosaic virus in maize. EUR J PlantPathol,145(2):385-391

117. Hu H, Schrag TA, Peis R, Unterseer S, Schipprack W, Chen S, Lai J, Yan J, Prasanna BM, Nair SK, Chaikam V, Rotarenco V, Shatskaya OA, Zavalishina A, Scholten S, Schon CC, Melchinger AE*(2016) The Genetic Basis of Haploid Induction in Maize Identified with a Novel Genome-Wide Association Method. Genetics,202(4):1267-76

118. Wen W*, Liu H, Zhou Y, Jin M, Yang N, Li D, Luo J, Xiao Y, Pan Q, Tohge T, Fernie A, Yan J (2016) Combining quantitative genetics approaches with regulatory network analysis to dissect the complex metabolism of the maize kernel. Plant Physiol,170(1):136-46

119. Chen G ,Wang X, Long S, Jaqueth J, Li B, Yan J, Ding J* (2016) Mapping of QTL conferring resistance to northern corn leaf blight using high-density SNPs in maize. Mol Breeding, 36:4

120. Wang T, Wang M, Hu S, Xiao Y, Tong H, Pan Q,Xue J, Yan J, Li J, Yang X*2015Genetic basis of maize kernel starch content revealed by high-density single nucleotide polymorphism markers in a recombinant inbred line population. BMC Plant Biol,15:288

121. Chen G, Wang X, Hao J, Yan J, Ding J* (2015) Genome-Wide Association Implicates Candidate Genes Conferring Resistance to Maize Rough Dwarf Disease in Maize. PLoS ONE,10(11):e0142001

122. Liu L, Du Y, Shen X, Li M, Sun W, Huang J, Liu Z, Tao Y, Zheng Y, Yan J, Zhang Z* (2015) KRN4 controls quantitative variation in maize kernel row number. PLoS Genet, 11(11): e1005670

123. Liu L, Du Y, Huo D, Wang M, Shen X, Yue B, Qiu F, Zheng Y, Yan J, Zhang Z* (2015) Genetic Architecture of Maize Kernel Row Number and Whole Genome Prediction. Theor Appl Genet ,128:2243–2254

124. Feng Y, Zheng Q, Song H, Wang Y, Wang H, Jiang L, Yan J, Zheng Y, Yue B* (2015) Multiple loci not only Rf3 involved in the restoration ability of pollen fertility, anther exsertion and pollen shedding to S type cytoplasmic male sterile in maize. Theor Appl Genet28:2341-2350

125. Mao H, Wang H, Liu S, Li Z, Yang X, Yan J, Li J, Tran LS, Qin F*(2015) A transposable element in a NAC gene is associated with drought tolerance in maize seedlings. Nat Commun, 6:8326

126. Zuo W, Chao Q, Zhang N, Ye J, Tan G, Li B, Xing Y, Zhang B, Liu H, Fengler KA, Zhao J, Zhao X, Chen Y, Lai J, Yan J, Xu M* (2015) A maize wall-associated kinase confers quantitative resistance to head smut. Nat Genet, 47:151-157

127. Li K, Yan J, Li J, Yang X (2014) Genetic architecture of rind penetrometer resistance in two maize recombinant inbred line populations. BMC Plant Biology,14:152

128. Osman K, Tang B, Wang Y, Chen J, Yu F, Li L, Han X, Zhang Z, Yan J, Zheng Y, Yue B, Qiu F (2013) Dynamic QTL Analysis and Candidate Gene Mapping for Waterlogging Tolerance at Maize Seedling Stage. PLoS ONE, 8 (11): e79305

129. Liu S, Wang X, Wang H, Xin H, Yang X, Yan J, Li J, Tran LSP, Shinozaki K, Yamaguchi-Shinozaki K, Qin F* (2013) Genome-wide analysis of ZmDREB genes and their association with natural variation in drought tolerance at seedling stage of Zea mays L. PLoS Genet, 9(9): e1003790

130. Feng F, Deng F, Zhou P, Yan J, Wang Q, Yang R, Li X (2013) QTL mapping for the tocopherols at milk stage of kernel development in sweet corn. Euphytica,193 (3): 409-417

131. Zhang X, Tang B, Yu F, Li L, Wang M, Xue Y, Zhang Z, Yan J, Yue B, Zheng Y, Qiu F* (2013) Identification of major QTL for waterlogging tolerance using genome-wide association and linkage mapping of maize seedlings. Plant Mol Biol Rep,31(3): 594-606

132. Babu R, Rojas NP, Gao S, Yan J, Pixley K (2013) Validation of the effects of molecular marker polymorphisms in LcyE and CrtRB1 on provitamin A concentrations for 26 tropical maize populations. Theor Appl Genet, 126 (2): 389-399

133. Guo T, Li H, Yan J, Tang J, Li J, Zhang Z, Zhang L, Wang J* (2013) Performance prediction of F-1 hybrids between recombinant inbred lines derived from two elite maize inbred lines. Theor Appl Genet,126 (1): 189-201

134. Zhang P, Allen W, Nagasawa N, Ching A, Heppard E, Li H, Hao X, Li X, Yang X, Yan J, Nagato Y, Sakai H, Shen B, Li J (2012) A transposable element insertion within ZmGE2 gene is associated with increase in embryo to endosperm ratio in maize. Theor Appl Genet,125 (7): 1463-1471

135. Wang M, Yan J, Zhao J, Song W, Zhang X, Xiao Y, Zheng Y (2012) Genome-wide association study (GWAS) of resistance to head smut in maize. Plant Sci,196:125-31

136. Yang X, Ma H, Zhang P, Yan J, Guo Y, Song T, Li J (2012) Characterization of QTL for oil content in maize kernel. Theor Appl Genet, 125 (6): 1169-1179

137. Ullah H, Khalil I, Durrishahwar I, Khalil I, Fayaz M, Yan J, Ali F (2012) Selecting high yielding and stable mungbean [Vigna radiata (L.) Wilczek] genotypes using GGE biplot techniques. Can J Plant Sci,92(5): 951-960

138. Chai Y, Hao X, Yang X, Allen WB, Li J, Yan J, Shen B, Li J (2012) Validation of DGAT1-2 polymorphisms associated with oil content and development of functional markers for molecular breeding of high-oil maize. Mol Breeding,29 (4): 939-949

139. Wen W, Guo T, Tovar VHC, Li H, Yan J, Taba S (2012) The strategy and potential utilization of temperate germplasm for tropical germplasm improvement: a case study of maize (Zea mays L.). Mol Breeding, 29 (4): 951-962

140. Zhou Y, Han Y, Li Z, Fu Y, Fu Z, Xu S, Li J, Yan J, Yang X (2012) ZmcrtRB3 encodes a carotenoid hydroxylase that affects the accumulation of α-carotene in maize kernel. J Integr Plant Biol,54 (4): 260-269

141. Wen W, Franco J, Chavez-Tovar VH, Yan J, Taba S (2012) Genetic characterization of a core set of a tropical maize race Tuxpeño for further use in maize improvement. PLoS ONE, 7 (3): e32626

142. Ali F*, Muneer M, Rahman H, Noor M, Durrishahwar, Shaukat S, Yan J (2011) Heritability estimates for yield and related traits based on testcross progeny performance of resistant maize inbred lines. J Food Agric Environ, 9 (3-4): 438-443

143. Zhou L, Zhang J, Yan J, Song R (2011) Two transposable element insertions are causative mutations for the major domestication gene teosinte branched 1 in modern maize. Cell Res, 21 (8): 1267-1270

144. Liu Y, Subhash C, Yan J, Song C, Zhao J, Li J (2011) Maize leaf temperature responses to drought: Thermal imaging and quantitative trait loci (QTL) mapping. Environ Exp Bot,71(2): 158-165

145. Setter TL, Yan J, Warburton ML, Ribaut JM, Xu Y, Sawkins M, Buckler ES, Zhang Z, Gore MA (2011) Genetic association mapping identifies single nucleotide polymorphisms in genes that affect abscisic acid levels in maize floral tissues during drought. J Exp Bot,62 (2): 701-716

146. Crossa J, Campos GL, Pérez P, Gianola D, Burgueño J, Araus JL, Makumbi D, Singh RP, Dreisigacker S, Yan J, Arief V, Banziger M, Braun HJ (2010) Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers. Genetics, 186 (2): 713-724

147. Du H, Wu H, Yan J, Li J (2010) Effects of basal media, salt concentrations, antioxidant supplements and co-effects on the Agrobacterium-mediated transformation efficiency in maize. AJB, 9 (8): 1135-1143

148. Yang X, Guo Y, Yan J, Zhang J, Song t, Rocheford T, Li J (2010) Major and minor QTL and epistasis contribute to fatty acid compositions and oil concentration in high-oil maize. TheorAppl Genet, 120 (3): 665-678

149. Ortiz R, Taba S, Tovar VHC, Mezzalama M, Xu Y, Yan J, Crouch JH (2010) Conserving and Enhancing Maize Genetic Resources as Global Public Goods-A Perspective from CIMMYT. Crop Sci,50 (1): 13-28

150. Tang J, Yan J, Ma X, Teng W, Wu W, Dai J, Dhillon BS, Melchinger AE, Li J (2010) Dissection of the genetic basis of heterosis in an elite maize hybrid by QTL mapping in an immortalized F2 population. TheorAppl Genet, 120 (2): 333-340

151. Lu Y, Yan J, Guimaraes CT, Taba S, Hao Z, Gao S, Chen S, Li J, Zhang S, Vivek BS, Magorokosho C, Makumbi D, Parentoni SN, Shah T, Rong T, Crouch JH, Xu Y (2009) Molecular characterization of global maize breeding germplasm based on genome-wide single nucleotide polymorphisms. TheorAppl Genet, 120 (1): 93-115

152. Liu Z, Yang X, Fu Y, Zhang Y, Yan J, Song T, Rocheford T, Li J (2009) Proteomic analysis of early germs with high-oil and normal inbred lines in maize. MolBiol Rep, 36 (4): 813-821

153. Chander S, Guo Y, Yang X, Yan J, Zhang Y, Song T, Li J (2008) Genetic dissection of tocopherol content and composition in maize grain using quantitative trait loci analysis and the candidate gene approach. Mol Breeding, 22 (3): 353-365

154. Ding J, Wang X, Chander S, Yan J, Li J (2008) QTL mapping of resistance to Fusarium ear rot using a RIL population in maize. Mol Breeding, 22 (3): 395-403

155. Chander S, Meng Y, Zhang Y, Yan J, Li J (2008) Comparison of nutritional traits variability in selected eighty-seven inbreds from Chinese maize (Zea mays L.) germplasm. J Agr Food Chem,56 (15): 6506-6511

156. Zhang J, Lu X, Song X, Yan J, Song T, Dai J, Rocheford T, Li J(2008) Mapping quantitative trait loci for oil, starch, and protein concentrations in grain with high-oil maize by SSR markers. Euphytica,162 (3): 335-344

157. Harjes C, Rocheford TR, Bai L, Brutnell TP, Kandianis CB, Sowinski SG, Stapleton AE, Vallabhaneni R, Williams M, Wurtzel ET, Yan J, Buckler ES (2008) Natural genetic variation in lycopene epsilon cyclase tapped for maize biofortification. Science, 319 (5861): 330

158. Chander S, Guo Y, Yang X, Zhang J, Lu X, Yan J, Song T, Rocheford T, Li J (2008) Using molecular markers to identify two major loci controlling carotenoid contents in maize grain. Theor Appl Genet, 116 (2): 223-233

159. Ma X, Tang J, Teng W, Yan J, Meng Y, Li J (2007) Epistatic interaction is an important genetic basis of grain yield and its components in maize. Mol Breeding, 20 (1): 41-51

160. Tang J, Teng W, Yan J, Ma X, Meng Y, Dai J, Li J (2007) Genetic dissection of plant height by molecular markers using a population of recombinant inbred lines in maize. Euphytica,155 (1-2): 117-124

161. Tang J, Ma X, Teng W, Yan J, Wu W, Dai J, Li J (2007) Detection of quantitative trait loci and heterotic loci for plant height using an immortalized F-2 population in maize. Chin Sci Bull, 52 (4): 477-483

162. Lu G, Tang J, Yan J, Ma X, Li J, Chen S, Ma J, Liu Z, Zhang Y, Dai J (2006) Quantitative trait loci mapping of maize yield and its components under different water treatments at flowering time. J Integr Plant Biol,48 (10): 1233-1243

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