• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

大豆产量和农艺性状的遗传结构

Genetic Architecture of Soybean Yield and Agronomic Traits.

作者信息

Diers Brian W, Specht Jim, Rainey Katy Martin, Cregan Perry, Song Qijian, Ramasubramanian Vishnu, Graef George, Nelson Randall, Schapaugh William, Wang Dechun, Shannon Grover, McHale Leah, Kantartzi Stella K, Xavier Alencar, Mian Rouf, Stupar Robert M, Michno Jean-Michel, An Yong-Qiang Charles, Goettel Wolfgang, Ward Russell, Fox Carolyn, Lipka Alexander E, Hyten David, Cary Troy, Beavis William D

机构信息

Department of Crop Sciences, University of Illinois, Urbana, IL, 61801

Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, 68583.

出版信息

G3 (Bethesda). 2018 Oct 3;8(10):3367-3375. doi: 10.1534/g3.118.200332.

DOI:10.1534/g3.118.200332
PMID:30131329
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6169381/
Abstract

Soybean is the world's leading source of vegetable protein and demand for its seed continues to grow. Breeders have successfully increased soybean yield, but the genetic architecture of yield and key agronomic traits is poorly understood. We developed a 40-mating soybean nested association mapping (NAM) population of 5,600 inbred lines that were characterized by single nucleotide polymorphism (SNP) markers and six agronomic traits in field trials in 22 environments. Analysis of the yield, agronomic, and SNP data revealed 23 significant marker-trait associations for yield, 19 for maturity, 15 for plant height, 17 for plant lodging, and 29 for seed mass. A higher frequency of estimated positive yield alleles was evident from elite founder parents than from exotic founders, although unique desirable alleles from the exotic group were identified, demonstrating the value of expanding the genetic base of US soybean breeding.

摘要

大豆是世界上植物蛋白的主要来源,对其种子的需求持续增长。育种者已成功提高了大豆产量,但产量和关键农艺性状的遗传结构仍知之甚少。我们构建了一个由5600个自交系组成的40交配大豆巢式关联作图(NAM)群体,这些自交系通过单核苷酸多态性(SNP)标记进行了特征分析,并在22个环境的田间试验中对六个农艺性状进行了测定。对产量、农艺性状和SNP数据的分析揭示了23个与产量显著相关的标记-性状关联、19个与成熟度相关的、15个与株高相关的、17个与植株倒伏相关的以及29个与种子质量相关的。尽管从外来亲本中鉴定出了独特的优良等位基因,但精英创始亲本中估计的正向产量等位基因频率明显高于外来亲本,这表明扩大美国大豆育种遗传基础的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddf3/6169381/60442caa4f48/3367f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddf3/6169381/2a1837b2a895/3367f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddf3/6169381/60442caa4f48/3367f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddf3/6169381/2a1837b2a895/3367f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddf3/6169381/60442caa4f48/3367f2.jpg

相似文献

1
Genetic Architecture of Soybean Yield and Agronomic Traits.大豆产量和农艺性状的遗传结构
G3 (Bethesda). 2018 Oct 3;8(10):3367-3375. doi: 10.1534/g3.118.200332.
2
Nested association mapping of important agronomic traits in three interspecific soybean populations.三个种间大豆群体中重要农艺性状的嵌套关联作图
Theor Appl Genet. 2020 Mar;133(3):1039-1054. doi: 10.1007/s00122-019-03529-4. Epub 2020 Jan 23.
3
Identification of novel loci associated with maturity and yield traits in early maturity soybean plant introduction lines.鉴定与早熟大豆引种系成熟和产量性状相关的新基因座。
BMC Genomics. 2018 Mar 1;19(1):167. doi: 10.1186/s12864-018-4558-4.
4
A multiparental cross population for mapping QTL for agronomic traits in durum wheat (Triticum turgidum ssp. durum).一个用于定位硬粒小麦(Triticum turgidum ssp. durum)农艺性状QTL的多亲本杂交群体。
Plant Biotechnol J. 2016 Feb;14(2):735-48. doi: 10.1111/pbi.12424. Epub 2015 Jul 1.
5
GWAS of agronomic traits in soybean collection included in breeding pool in Kazakhstan.哈萨克斯坦育种库中大豆群体农艺性状的全基因组关联研究
BMC Plant Biol. 2017 Nov 14;17(Suppl 1):179. doi: 10.1186/s12870-017-1125-0.
6
Identification of quantitative trait loci for lodging and related agronomic traits in soybean (Glycine max [L.] Merr.).大豆倒伏及相关农艺性状的数量性状位点鉴定。
BMC Genomics. 2024 Sep 30;25(1):900. doi: 10.1186/s12864-024-10794-1.
7
QTL in mega-environments: II. Agronomic trait QTL co-localized with seed yield QTL detected in a population derived from a cross of high-yielding adapted x high-yielding exotic soybean lines.大环境中的数量性状基因座:II. 与种子产量数量性状基因座共定位的农艺性状数量性状基因座,该数量性状基因座在一个由高产适应性大豆品系与高产外来大豆品系杂交产生的群体中被检测到。
Theor Appl Genet. 2009 Aug;119(3):429-36. doi: 10.1007/s00122-009-1048-8. Epub 2009 May 22.
8
Genome-Wide Analysis of Grain Yield Stability and Environmental Interactions in a Multiparental Soybean Population.多亲本大豆群体中籽粒产量稳定性及与环境互作的全基因组分析
G3 (Bethesda). 2018 Feb 2;8(2):519-529. doi: 10.1534/g3.117.300300.
9
A genome-wide association study of seed composition traits in wild soybean (Glycine soja).野生大豆(Glycine soja)种子成分性状的全基因组关联研究。
BMC Genomics. 2017 Jan 5;18(1):18. doi: 10.1186/s12864-016-3397-4.
10
Identification of positive yield QTL alleles from exotic soybean germplasm in two backcross populations.从两个回交群体中的外来大豆种质中鉴定正向产量 QTL 等位基因。
Theor Appl Genet. 2012 Oct;125(6):1353-69. doi: 10.1007/s00122-012-1944-1. Epub 2012 Aug 7.

引用本文的文献

1
Characterization of a G. max × G. soja nested association mapping population and identification of loci controlling seed composition traits from wild soybean.一个大豆(栽培大豆×野生大豆)巢式关联作图群体的特征分析及野生大豆中控制种子成分性状位点的鉴定
Theor Appl Genet. 2025 Mar 7;138(3):65. doi: 10.1007/s00122-025-04848-5.
2
Multi-sensor and multi-temporal high-throughput phenotyping for monitoring and early detection of water-limiting stress in soybean.用于监测和早期检测大豆水分胁迫的多传感器和多时间尺度高通量表型分析
Plant Phenome J. 2024 Dec;7(1):e70009. doi: 10.1002/ppj2.70009. Epub 2024 Nov 30.
3
Genome-wide association analysis was used to discover genes related to soybean grain weight per plant and 100-grain weight.

本文引用的文献

1
A Population Structure and Genome-Wide Association Analysis on the USDA Soybean Germplasm Collection.美国农业部大豆种质资源库的群体结构与全基因组关联分析
Plant Genome. 2015 Nov;8(3):eplantgenome2015.04.0024. doi: 10.3835/plantgenome2015.04.0024.
2
Engineering Quantitative Trait Variation for Crop Improvement by Genome Editing.通过基因组编辑工程量化作物改良的数量性状变异。
Cell. 2017 Oct 5;171(2):470-480.e8. doi: 10.1016/j.cell.2017.08.030. Epub 2017 Sep 14.
3
Simultaneous Downregulation of and in Switchgrass Affects Plant Performance and Induces Lesion-Mimic Cell Death.
全基因组关联分析被用于发现与大豆单株粒重和百粒重相关的基因。
Breed Sci. 2024 Jun;74(3):223-231. doi: 10.1270/jsbbs.23057. Epub 2024 Jun 26.
4
Megavariate methods capture complex genotype-by-environment interactions.多变量方法能够捕捉复杂的基因与环境的相互作用。
Genetics. 2025 Apr 17;229(4). doi: 10.1093/genetics/iyae179.
5
Genomic predictions of genetic variances and correlations among traits for breeding crosses in soybean.大豆杂交种遗传方差和性状间相关性的基因组预测。
Heredity (Edinb). 2024 Sep;133(3):173-185. doi: 10.1038/s41437-024-00703-3. Epub 2024 Jul 12.
6
Combining phenotypic and genomic data to improve prediction of binary traits.结合表型和基因组数据以改善二元性状的预测。
J Appl Stat. 2023 May 16;51(8):1497-1523. doi: 10.1080/02664763.2023.2208773. eCollection 2024.
7
Improving predictive ability in sparse testing designs in soybean populations.提高大豆群体稀疏测试设计中的预测能力。
Front Genet. 2023 Nov 23;14:1269255. doi: 10.3389/fgene.2023.1269255. eCollection 2023.
8
PH13 improves soybean shade traits and enhances yield for high-density planting at high latitudes.PH13 提高大豆耐荫性,提升高纬地区高密度种植产量。
Nat Commun. 2023 Oct 26;14(1):6813. doi: 10.1038/s41467-023-42608-5.
9
Genetic Diversity Analysis of Soybean Collection Using Simple Sequence Repeat Markers.利用简单序列重复标记对大豆种质资源进行遗传多样性分析。
Plants (Basel). 2023 Sep 30;12(19):3445. doi: 10.3390/plants12193445.
10
Using machine learning enabled phenotyping to characterize nodulation in three early vegetative stages in soybean.利用机器学习辅助表型分析来表征大豆三个早期营养阶段的结瘤情况。
Crop Sci. 2023 Jan-Feb;63(1):204-226. doi: 10.1002/csc2.20861. Epub 2022 Dec 27.
柳枝稷中[基因名称1]和[基因名称2]的同时下调影响植物性能并诱导类病斑细胞死亡。 (注:原文中两个基因名称未给出具体内容,用[基因名称1]和[基因名称2]代替)
Front Plant Sci. 2017 Jun 20;8:982. doi: 10.3389/fpls.2017.00982. eCollection 2017.
4
Genetic Architecture of Phenomic-Enabled Canopy Coverage in .基于表型组学的冠层覆盖度的遗传结构
Genetics. 2017 Jun;206(2):1081-1089. doi: 10.1534/genetics.116.198713. Epub 2017 Mar 31.
5
Nested Association Mapping of Stem Rust Resistance in Wheat Using Genotyping by Sequencing.利用测序基因分型对小麦抗秆锈病进行巢式关联作图
PLoS One. 2016 May 17;11(5):e0155760. doi: 10.1371/journal.pone.0155760. eCollection 2016.
6
Multi-Population Selective Genotyping to Identify Soybean [Glycine max (L.) Merr.] Seed Protein and Oil QTLs.利用多群体选择基因分型鉴定大豆[Glycine max (L.) Merr.]种子蛋白和油分QTL
G3 (Bethesda). 2016 Jun 1;6(6):1635-48. doi: 10.1534/g3.116.027656.
7
Genomic dissection of plant development and its impact on thousand grain weight in barley through nested association mapping.通过巢式关联作图对植物发育进行基因组剖析及其对大麦千粒重的影响。
J Exp Bot. 2016 Apr;67(8):2507-18. doi: 10.1093/jxb/erw070. Epub 2016 Mar 1.
8
Lessons from Domestication: Targeting Cis-Regulatory Elements for Crop Improvement.驯化启示:作物改良的顺式调控元件靶向。
Trends Plant Sci. 2016 Jun;21(6):506-515. doi: 10.1016/j.tplants.2016.01.014. Epub 2016 Feb 12.
9
Construction of high resolution genetic linkage maps to improve the soybean genome sequence assembly Glyma1.01.构建高分辨率遗传连锁图谱以改进大豆基因组序列组装(Glyma1.01)
BMC Genomics. 2016 Jan 6;17:33. doi: 10.1186/s12864-015-2344-0.
10
NAM: association studies in multiple populations.NAM:多人群关联研究。
Bioinformatics. 2015 Dec 1;31(23):3862-4. doi: 10.1093/bioinformatics/btv448. Epub 2015 Aug 4.