小麦穗密度主效QTL的鉴定、验证及其遗传效应分析

doi:10.3864/j.issn.0578-1752.2026.01.002

中国农业科学 ›› 2026, Vol. 59 ›› Issue (1): 17-28.doi: 10.3864/j.issn.0578-1752.2026.01.002

• 作物遗传育种·种质资源·分子遗传学 • 上一篇下一篇

小麦穗密度主效QTL的鉴定、验证及其遗传效应分析

叶美金¹(), 陈家婷²(), 周界光², 尹丽², 胡欣荣², 兰雨昕², 陈斌², 苏龙兴², 刘家君³, 刘天超¹, 李小雨⁴^,^*(), 马建²^,^*()

¹ 成都师范学院化学与生命科学学院，成都 611130
² 四川农业大学小麦研究所，成都 611130
³ 四川文理学院/大巴山农业资源开发与生态保护达州市重点实验室，四川达州 635000
⁴ 南充市农业科学院，四川南充 637000

收稿日期:2025-07-22 接受日期:2025-09-01 出版日期:2026-01-01 发布日期:2026-01-07
通信作者:
马建，E-mail：jianma@sicau.edu.cn。
李小雨，E-mail：l.xioayu@foxmail.com
联系方式: 叶美金，E-mail：091048@cdnu.edu.cn。陈家婷，E-mail：2806131080@qq.com。叶美金和陈家婷为同等贡献作者。
基金资助:
四川省自然科学基金项目面上项目(2024NSFSC0330); 四川省大学生创新创业训练计划(S202514389093); 成都师范学院2025年第二批次高级别科研项目托举专项(CSTJZX2550)

Identification, Validation and Genetic Effect Analysis of Major QTL for Spike Density in Wheat

YE MeiJin¹(), CHEN JiaTing²(), ZHOU JieGuang², YIN Li², HU XinRong², LAN YuXin², CHEN Bin², SU LongXing², LIU JiaJun³, LIU TianChao¹, LI XiaoYu⁴^,^*(), MA Jian²^,^*()

¹ College of Chemistry and Life Sciences, Chengdu Normal University, Chengdu 611130
² Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130
³ Sichuan University of Arts and Science/Dazhou Key Laboratory of Agricultural Resources Development and Ecological Conservation in Daba Mountain, Dazhou 635000, Sichuan
⁴ Nanchong Academy of Agricultural Sciences, Nanchong 637000, Sichuan

Received:2025-07-22 Accepted:2025-09-01 Published:2026-01-01 Online:2026-01-07

摘要/Abstract

摘要：

【目的】穗密度（spike density，SD）是小麦重要的农艺性状之一，其遗传调控机制解析对构建理想穗型结构、实现产量突破具有重要意义。挖掘和遗传评价调控穗密度的关键遗传位点，为小麦穗型分子设计育种提供理论依据。【方法】利用自然突变体msf和川农16构建的198个F₆代重组自交系（recombinant inbred lines，RIL）群体，结合基于小麦16K SNP芯片的遗传连锁图谱，通过4个环境下的表型数据系统鉴定穗密度相关数量性状位点（QTL）。进一步利用2个不同遗传背景群体对主效且稳定表达的QTL进行验证，分析稳定表达位点对产量相关性状的遗传效应，评估其对产量提升的潜力。【结果】RIL群体穗密度表型值范围为0.62—2.35，穗密度遗传力为0.71。穗密度与有效分蘖数和小穗数之间存在显著正相关，而与穗粒数、穗粒重、穗长存在极显著负相关。基于4个环境共鉴定到9个控制穗密度的QTL，主要分布在1A、1D、5A（2个）、5B、7A（3个）和7B染色体上。其中，QSd.sicau-MC-1A定位于1A染色体侧翼标记1A_1208254和1A_3911208之间，在2个环境及最佳线性无偏预测（best linear unbiased prediction，BLUP）值中被检测到，可解释9.05%—15.84%的表型变异率，为主效且稳定表达的QTL，其正效应位点来源于亲本川农16，并且该位点的效应在2个具有不同遗传背景的验证群体中得到进一步验证。QSd.sicau-MC-7A.1定位于7A染色体侧翼标记7A_671413788和7A_672390144之间，也在2个环境及BLUP值中被检测到，为稳定表达位点，其正效应位点来源于msf，但其效应较小，可解释7.06%—10.39%的表型变异率。剩余7个QTL均为微效QTL。遗传效应分析表明，QSd.sicau-MC-1A的正效应位点对主要产量性状具有负效应，而QSd.sicau-MC-7A.1的正效应位点起正效应作用。加性效应分析表明，同时携带QSd.sicau-MC-1A和QSd.sicau-MC-7A.1正效应位点的株系的穗密度显著高于仅携带单一位点或没有携带任何正效应位点的株系，穗密度增幅达到9.01%，而仅携带QSd.sicau-MC-1A或者QSd.sicau-MC-7A.1正效应位点的株系的穗密度均显著高于没有携带任何正效应位点的株系，增幅分别为5.03%和4.19%。与前人报道的穗密度位点进行比对，发现QSd.sicau-MC-1A可能为新位点。【结论】在小麦1A和7A染色体各定位到一个稳定表达的穗密度位点，分别为QSd.sicau-MC-1A和QSd.sicau-MC-7A.1，后者更具有育种利用潜力。

关键词: 小麦, QTL, 穗密度, 遗传效应, 产量

Abstract:

【Objective】Spike density (SD) is an important agronomic trait in wheat, and elucidating its genetic regulatory mechanisms is crucial for constructing ideal spike architecture and achieving yield breakthroughs. This study aimed to identify and genetically characterize key genetic loci controlling SD, providing a theoretical basis for molecular design breeding of wheat spike morphology. 【Method】A recombinant inbred line (RIL) population consisting of 198 F₆ lines derived from a cross between the natural mutant msf and cultivar Chuannong16 was used. Combined with a genetic linkage map based on the wheat 16K SNP array, quantitative trait loci (QTL) associated with SD were systematically identified using phenotypic data from four environments. Furthermore, two populations with different genetic backgrounds were employed to validate the major and stably expressed QTL. The genetic effects of the stable QTL on yield-related traits were analyzed, and their potential for yield improvement was evaluated. 【Result】The SD of the RIL population ranged from 0.62 to 2.35, with a heritability of 0.71. SD showed a significant positive correlation with productive tiller number and spikelet number, while exhibiting a highly significant negative correlation with grains per spike, grain weight per spike, and spike length. Nine QTLs controlling SD were identified, distributed on chromosomes 1A, 1D, 5A (2 QTLs), 5B, 7A (3 QTLs), and 7B. Among them, QSd.sicau-MC-1A was mapped between flanking markers 1A_1208254 and 1A_3911208 on chromosome 1A and detected in two environments and in the best linear unbiased prediction (BLUP) dataset, explaining 9.05%-15.84% of the phenotypic variation. This QTL, with its positive allele derived from Chuannong 16, was considered a major and stably expressed locus, and its effect was further validated in two independent genetic backgrounds. QSd.sicau-MC-7A.1 was located between markers 7A_671413788 and 7A_672390144 on chromosome 7A and also detected in two environments and BLUP. Although stably expressed, this QTL had a relatively minor effect (7.06%-10.39% phenotypic variation), with its positive allele originating from msf. The remaining seven QTLs were minor-effect loci. Genetic effect analysis revealed that the positive allele of QSd.sicau-MC-1A had negative effects on major yield-related traits, whereas QSd.sicau-MC-7A.1 exhibited positive effects. Additive effect analysis demonstrated that lines carrying both QSd.sicau-MC-1A and QSd.sicau-MC-7A.1 positive alleles had significantly higher SD (9.01% increase) compared to those carrying only one or no positive alleles. Lines with only QSd.sicau-MC-1A or QSd.sicau-MC-7A.1 showed 5.03% and 4.19% increases in SD, respectively, over lines without any positive alleles. Comparative analysis with previously reported SD QTLs suggested that QSd.sicau-MC-1A might be a novel locus. 【Conclusion】Two stably expressed QTLs for SD, QSd.sicau-MC-1A and QSd.sicau-MC-7A.1, were identified in wheat. The latter shows greater potential for breeding applications.

Key words: wheat, QTL, spike density, genetic effect, yield

叶美金, 陈家婷, 周界光, 尹丽, 胡欣荣, 兰雨昕, 陈斌, 苏龙兴, 刘家君, 刘天超, 李小雨, 马建. 小麦穗密度主效QTL的鉴定、验证及其遗传效应分析[J]. 中国农业科学, 2026, 59(1): 17-28.

YE MeiJin, CHEN JiaTing, ZHOU JieGuang, YIN Li, HU XinRong, LAN YuXin, CHEN Bin, SU LongXing, LIU JiaJun, LIU TianChao, LI XiaoYu, MA Jian. Identification, Validation and Genetic Effect Analysis of Major QTL for Spike Density in Wheat[J]. Scientia Agricultura Sinica, 2026, 59(1): 17-28.

0
/ / 推荐

导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks

链接本文: https://www.chinaagrisci.com/CN/10.3864/j.issn.0578-1752.2026.01.002

https://www.chinaagrisci.com/CN/Y2026/V59/I1/17

图/表 11

图1

表1

图2

表2

表3

图3

图4

图5

图6

图7

图8

参考文献 35

[1]	KHALID A, HAMEED A, TAHIR M F. Wheat quality: A review on chemical composition, nutritional attributes, grain anatomy, types, classification, and function of seed storage proteins in bread making quality. Frontiers in Nutrition, 2023, 10: 1053196. doi: 10.3389/fnut.2023.1053196
[2]	JIAO C Z, XIE X M, HAO C Y, CHEN L Y, XIE Y X, GARG V, ZHAO L, WANG Z H, ZHANG Y Q, LI T, et al. Pan-genome bridges wheat structural variations with habitat and breeding. Nature, 2025, 637(8045): 384-393. doi: 10.1038/s41586-024-08277-0
[3]	CHENG P, ZHANG Y, LIU K, KONG X S, WU S M, YAN H F, JIANG P. Continuing the continuous harvests of food production: From the perspective of the interrelationships among cultivated land quantity, quality, and grain yield. Humanities and Social Sciences Communications, 2025, 12: 46. doi: 10.1057/s41599-024-04342-1
[4]	LIU H, MA J, TU Y, ZHU J, DING P Y, LIU J J, LI T, ZOU Y Y, HABIB A, MU Y, et al. Several stably expressed QTL for spike density of common wheat (Triticum aestivum) in multiple environments. Plant Breeding, 2020, 139(2): 284-294. doi: 10.1111/pbr.v139.2
[5]	YOU J N, LIU H, WANG S R, LUO W, GOU L L, TANG H P, MU Y, DENG M, JIANG Q T, CHEN G Y, et al. Spike density quantitative trait loci detection and analysis in tetraploid and hexaploid wheat recombinant inbred line populations. Frontiers in Plant Science, 2021, 12: 796397. doi: 10.3389/fpls.2021.796397
[6]	FARIS J D, FELLERS J P, BROOKS S A, GILL B S. A bacterial artificial chromosome contig spanning the major domestication locus Q in wheat and identification of a candidate gene. Genetics, 2003, 164(1): 311-321. doi: 10.1093/genetics/164.1.311
[7]	FARIS J D, GILL B S. Genomic targeting and high-resolution mapping of the domestication gene Q in wheat. Genome, 2002, 45(4): 706-718. doi: 10.1139/g02-036 pmid: 12175074
[8]	SIMONS K J, FELLERS J P, TRICK H N, ZHANG Z C, TAI Y S, GILL B S, FARIS J D. Molecular characterization of the major wheat domestication gene Q. Genetics, 2006, 172(1): 547-555. doi: 10.1534/genetics.105.044727
[9]	XU B J, CHEN Q, ZHENG T, JIANG Y F, QIAO Y Y, GUO Z R, CAO Y L, WANG Y, ZHANG Y Z, ZONG L J, et al. An overexpressed Q allele leads to increased spike density and improved processing quality in common wheat (Triticum aestivum). G3, 2018, 8(3): 771-778. doi: 10.1534/g3.117.300562
[10]	JOHNSON E B, NALAM V J, ZEMETRA R S, RIERA-LIZARAZU O. Mapping the compactum locus in wheat (Triticum aestivum L.) and its relationship to other spike morphology genes of the Triticeae. Euphytica, 2008, 163(2): 193-201. doi: 10.1007/s10681-007-9628-7
[11]	RAO M V P. Mapping of the sphaerococcum gene ‘S’ on chromosome 3D of wheat. Cereal Research Communications, 1977, 5(1): 15-17.
[12]	ELLIS M H, REBETZKE G J, AZANZA F, RICHARDS R A, SPIELMEYER W. Molecular mapping of gibberellin-responsive dwarfing genes in bread wheat. Theoretical and Applied Genetics, 2005, 111(3): 423-430. doi: 10.1007/s00122-005-2008-6 pmid: 15968526
[13]	KORZUN V, RÖDER M S, GANAL M W, WORLAND A J, LAW C N. Genetic analysis of the dwarfing gene (Rht8) in wheat: Part I. Molecular mapping of Rht8 on the short arm of chromosome 2D of bread wheat (Triticum aestivum L.). Theoretical and Applied Genetics, 1998, 96(8): 1104-1109. doi: 10.1007/s001220050845
[14]	HEIDARI B, SAYED-TABATABAEI B E, SAEIDI G, KEARSEY M, SUENAGA K. Mapping QTL for grain yield, yield components, and spike features in a doubled haploid population of bread wheat. Genome, 2011, 54(6): 517-527. doi: 10.1139/g11-017 pmid: 21635161
[15]	ZHAO C H, CUI F, FAN Z Q, LI J, DING A M, WANG H G. Genetic analysis of important loci in the winter wheat backbone parent Aimengniu-V. Australian Journal of Crop Science, 2013, 7(2): 182-188.
[16]	ALVAREZ M A, TRANQUILLI G, LEWIS S, KIPPES N, DUBCOVSKY J. Genetic and physical mapping of the earliness per se locus Eps-Am1 in Triticum monococcum identifies EARLY FLOWERING 3 (ELF3) as a candidate gene. Functional & Integrative Genomics, 2016, 16(4): 365-382.
[17]	GUEDIRA M, XIONG M, HAO Y F, JOHNSON J, HARRISON S, MARSHALL D, BROWN-GUEDIRA G. Heading date QTL in winter wheat (Triticum aestivum L.) coincide with major developmental genes VERNALIZATION1 and PHOTOPERIOD1. PLoS ONE, 2016, 11(5): e0154242. doi: 10.1371/journal.pone.0154242
[18]	YU Q, FENG B, XU Z B, FAN X L, ZHOU Q, JI G S, LIAO S M, GAO P, WANG T. Genetic dissection of three major quantitative trait loci for spike compactness and length in bread wheat (Triticum aestivum L.). Frontiers in Plant Science, 2022, 13: 882655. doi: 10.3389/fpls.2022.882655
[19]	LI T, DENG G B, SU Y, YANG Z, TANG Y Y, WANG J H, QIU X, PU X, LI J, LIU Z H, et al. Identification and validation of two major QTLs for spike compactness and length in bread wheat (Triticum aestivum L.) showing pleiotropic effects on yield- related traits. Theoretical and Applied Genetics, 2021, 134(11): 3625-3641. doi: 10.1007/s00122-021-03918-8
[20]	ZHU J, HUANG F, ZHAI H J, ZHENG Y, YU J Z, CHEN Z Y, FAN Y J, ZHAO H H, SUN Q X, LIANG R Q, et al. The Tetratricopeptide repeat protein TaTPR-B 1 regulates spike compactness in bread wheat. Plant Physiology, 2024, 197(1): kiae546.
[21]	ZHANG L, ZHOU H D, FU X, ZHOU N N, LIU M J, BAI S L, ZHAO X P, CHENG R R, LI S P, ZHANG D L. Identification and map-based cloning of an EMS-induced mutation in wheat gene TaSP1 related to spike architecture. Theoretical and Applied Genetics, 2024, 137(6): 119. doi: 10.1007/s00122-024-04621-0 pmid: 38709271
[22]	张智源, 周界光, 刘家君, 王素容, 王同著, 赵聪豪, 尤佳宁, 丁浦洋, 唐华苹, 刘燕林, 等. 基于遗传解析新模式的小麦寡分蘖QTL的鉴定和验证. 作物学报, 2024, 50(6): 1373-1383.
	ZHANG Z Y, ZHOU J G, LIU J J, WANG S R, WANG T Z, ZHAO C H, YOU J N, DING P Y, TANG H P, LIU Y L, et al. Identification and verification of low-tillering QTL based on a new model of genetic analysis in wheat. Acta Agronomica Sinica, 2024, 50(6): 1373-1383. (in Chinese) doi: 10.3724/SP.J.1006.2024.31051
[23]	ZHOU J G, LI W, YANG Y Y, XIE X L, LIU J J, LIU Y L, TANG H P, DENG M, XU Q, JIANG Q T, et al. A promising QTL QSns.sau-MC-3D.1 likely superior to WAPO 1 for the number of spikelets per spike of wheat shows no adverse effects on yield-related traits. Theoretical and Applied Genetics, 2023, 136(9): 181. doi: 10.1007/s00122-023-04429-4
[24]	ZHOU J G, HE Y J, LI W, CHEN B, SU L X, LAN Y X, YAN L, WANG Y, LOHANI M N, LIU Y L, et al. Identification and characterization of QSFS.sau-MC-5A for sterile florets genetically independent of fertile ones per spike in wheat. Theoretical and Applied Genetics, 2024, 137(10): 232. doi: 10.1007/s00122-024-04745-3
[25]	ZHOU J G, LIU Q, TIAN R, CHEN H X, WANG J, YANG Y Y, ZHAO C H, LIU Y L, TANG H P, DENG M, et al. A co-located QTL for seven spike architecture-related traits shows promising breeding use potential in common wheat (Triticum aestivum L.). Theoretical and Applied Genetics, 2024, 137(1): 31. doi: 10.1007/s00122-023-04536-2
[26]	姚琦馥, 陈黄鑫, 周界光, 马瑞莹, 邓亮, 谭陈芯雨, 宋靖涵, 吕季娟, 马建. 基于16K SNP芯片的小麦株高QTL鉴定及其遗传分析. 中国农业科学, 2023, 56(12): 2237-2248. doi: 10.3864/j.issn.0578-1752.2023.12.001.
	YAO Q F, CHEN H X, ZHOU J G, MA R Y, DENG L, TAN C X Y, SONG J H, LÜ J J, MA J. QTL identification and genetic analysis of plant height in wheat based on 16K SNP array. Scientia Agricultura Sinica, 2023, 56(12): 2237-2248. doi: 10.3864/j.issn.0578-1752.2023.12.001. (in Chinese)
[27]	姚琦馥, 周界光, 王健, 陈黄鑫, 杨瑶瑶, 刘倩, 闫磊, 王瑛, 周景忠, 崔凤娟, 等. 小麦穗长QTL鉴定及其遗传分析. 中国农业科学, 2023, 56(24): 4814-4825. doi: 10.3864/j.issn.0578-1752.2023.24.002.
	YAO Q F, ZHOU J G, WANG J, CHEN H X, YANG Y Y, LIU Q, YAN L, WANG Y, ZHOU J Z, CUI F J, et al. Identification and genetic analysis of QTL for spike length in wheat. Scientia Agricultura Sinica, 2023, 56(24): 4814-4825. doi: 10.3864/j.issn.0578-1752.2023.24.002. (in Chinese)
[28]	LIU J J, LUO W, QIN N N, DING P Y, ZHANG H, YANG C C, MU Y, TANG H P, LIU Y X, LI W, et al. A 55K SNP array-based genetic map and its utilization in QTL mapping for productive tiller number in common wheat. Theoretical and Applied Genetics, 2018, 131(11): 2439-2450. doi: 10.1007/s00122-018-3164-9
[29]	LIU J J, WANG T Z, LAN Y X, ZHANG Z Y, YOU J N, WU L, HU X R, YIN L, LIU Y L, TANG H P, et al. Fine-mapping and candidate gene identification for QPtn.sau-4B showing potential in increasing productive tiller number and yield in wheat. The Crop Journal, 2025, 13(2): 480-489. doi: 10.1016/j.cj.2025.01.014
[30]	MA J, DING P Y, LIU J J, LI T, ZOU Y Y, HABIB A, MU Y, TANG H P, JIANG Q T, LIU Y X, et al. Identification and validation of a major and stably expressed QTL for spikelet number per spike in bread wheat. Theoretical and Applied Genetics, 2019, 132(11): 3155-3167. doi: 10.1007/s00122-019-03415-z pmid: 31435704
[31]	MA J, QIN N N, CAI B, CHEN G Y, DING P Y, ZHANG H, YANG C C, HUANG L, MU Y, TANG H P, et al. Identification and validation of a novel major QTL for all-stage stripe rust resistance on 1BL in the winter wheat line 20828. Theoretical and Applied Genetics, 2019, 132(5): 1363-1373. doi: 10.1007/s00122-019-03283-7 pmid: 30680420
[32]	马文洁, 张传量, 宋晓朋, 冯洁, 崔紫霞, 孙道杰. 不同麦区小麦品种穗发芽抗性及其与穗部性状的相关性. 麦类作物学报, 2016, 36(10): 1269-1274.
	MA W J, ZHANG C L, SONG X P, FENG J, CUI Z X, SUN D J. Pre-harvest sprouting resistance in wheat from different wheat regions and its correlation with ear characteristics. Journal of Triticeae Crops, 2016, 36(10): 1269-1274. (in Chinese)
[33]	HUANG Y D, HAAS M, HEINEN S, STEFFENSON B J, SMITH K P, MUEHLBAUER G J. QTL mapping of Fusarium Head blight and correlated agromorphological traits in an elite barley cultivar rasmusson. Frontiers in Plant Science, 2018, 9: 1260. doi: 10.3389/fpls.2018.01260
[34]	MESTERHÁZY A. Types and components of resistance to Fusarium head blight of wheat. Plant Breeding, 1995, 114(5): 377-386. doi: 10.1111/pbr.1995.114.issue-5
[35]	陆成彬, 范金平, 印娟, 王朝顺, 褚正虎. 小麦主要农艺性状对赤霉病抗性的影响. 安徽农业科学, 2013, 41(3): 1091-1092, 1095.
	LU C B, FAN J P, YIN J, WANG C S, CHU Z H. Effects of main agronomic traits of wheat on the resistance of Fusarium head blight. Journal of Anhui Agricultural Sciences, 2013, 41(3): 1091-1092, 1095. (in Chinese)

环境 Environment	亲本Parents		重组自交系RIL
环境 Environment	msf	川农16 CN16	范围Range (SNS/cm)	平均值Mean	标准差SD	变异系数Variance	遗传力H²
2021WJ	1.98（14.33）	1.99（10.24**）	1.89-1.95	1.92	0.21	0.05	0.71
2021CZ	N（9.84）	N（8.90**）	2.28-2.35	2.32	0.26	0.07
2022WJ	1.68（14.36）	1.87（9.74*）	0.62-1.87	0.82	0.24	0.03
2022CZ	1.81（13.08）	1.78（10.68**）	1.80-1.87	1.84	0.22	0.05

性状 Trait	穗密度 Spike density
株高Plant height	0.067
有效分蘖数Effective tiller number	0.402**
小穗数Spikelet number per spike	0.215**
每穗籽粒数Kernel number per spike	-0.316**
每穗粒重Kernel weight per spike	-0.311**
千粒重Thousand kernel weight	-0.122
旗叶长Flag leaf length	0.006
旗叶宽Flag leaf width	0.001
穗长Spike length	-0.666**

数量性状位点 QTL	环境 Environment	遗传位置 Genetic position (cM)	区间 Interval	阈值 LOD	表型变异率 PVE (%)	加性效应 Add
QSd.sicau-MC-1A	2022WJ	0	1A_1208254-1A_3911208	6.82	13.09	-0.07
	2022CZ	2	1A_3911208-1A_10060497	8.30	15.84	-0.09
	BLUP	0	1A_1208254-1A_3911208	6.61	9.05	-0.05
QSd.sicau-MC-7A.1	2021CZ	106	7A_671413788-7A_672390144	4.54	10.39	0.08
	2021WJ	113	7A_675589691-7A_677881538	3.44	8.05	0.06
	BLUP	105	7A_671413788-7A_672390144	5.18	7.06	0.04
QSd.sicau-MC-5A.1	2022WJ	43	5A_688174533-5A_691403852	2.99	6.45	-0.05
QSd.sicau-MC-5A.1	BLUP	41	5A_688174533-5A_691403852	3.16	4.44	-0.03
QSd.sicau-MC-7A.2	2022WJ	54	7A_78127897-7A_80137450	3.18	5.86	0.05
QSd.sicau-MC-7A.3	2022CZ	74	7A_540052478-7A_544573026	3.01	5.17	0.05
QSd.sicau-MC-1D	2021WJ	47	1D_279525304-1D_252822346	3.00	6.09	-0.10
QSd.sicau-MC-5A.2	BLUP	74	5A_512433953-5A_523864082	2.61	3.42	-0.03
QSd.sicau-MC-5D	2021WJ	24	5D_544232381-5D_520844905	3.08	10.16	-0.12
QSd.sicau-MC-7B	BLUP	57	7B_113156591-7B_122267814	3.20	4.23	0.03

小麦穗密度主效QTL的鉴定、验证及其遗传效应分析

Identification, Validation and Genetic Effect Analysis of Major QTL for Spike Density in Wheat

RichHTML

PDF

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 11

参考文献 35

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	吕旭东, 孙世媛, 李亚楠, 刘玉龙, 王艳群, 付鑫, 张佳英, 宁鹏, 彭正萍. 智能机械化分层施肥对麦田根-土养分分布和小麦产量的影响[J]. 中国农业科学, 2026, 59(1): 129-146.
[2]	陆浩, 张明龙, 韩梅, 严清彪, 李正鹏, 殷文, 樊志龙, 胡发龙, 柴强. 绿肥过腹还田协同氮肥减施提高小麦产量和土壤质量[J]. 中国农业科学, 2026, 59(1): 147-160.
[3]	董桂春, 王子涵, 王树深, 李杰, 霍晓晴, 杨瑞, 周娟, 舒小伟, 李妍, 曹靓婧, 王子瑞, 姚友礼, 黄建晔. 硫包衣缓释肥提升水稻产量及氮肥利用率的技术途径[J]. 中国农业科学, 2026, 59(1): 57-77.
[4]	李云丽, 刁邓超, 刘雅睿, 孙玉晨, 孟祥宇, 邬陈芳, 汪妤, 吴建辉, 李春莲, 曾庆东, 韩德俊, 郑炜君. 小麦苗期耐热性全基因组关联分析[J]. 中国农业科学, 2025, 58(9): 1663-1683.
[5]	蒲丽霞, 张佳芮, 叶建萍, 黄秀兰, 樊高琼, 杨洪坤. 二氢赤霉素与秸秆覆盖对旱地小麦分蘖成穗与产量的影响[J]. 中国农业科学, 2025, 58(9): 1735-1748.
[6]	郭晨荔, 刘扬, 陈燕, 胡伟, 王友华, 周治国, 赵文青. 减氮条件下适当磷肥后移对滴灌棉花产量和磷肥利用效率的影响[J]. 中国农业科学, 2025, 58(9): 1749-1766.
[7]	张敏, 李鑫, 张勇, 钟德萍, 鲁晓晓, 何淑敏, 陈冬红, 李烨, 李荣霞, 黄泽军, 王孝宣, 国艳梅, 杜永臣, 刘洪海, 李君明, 刘磊. 加工番茄高可溶性固形物含量位点的遗传与互作效应分析[J]. 中国农业科学, 2025, 58(9): 1816-1829.
[8]	陈冰嬬, 唐玉劼, 张丽霞, 周宇飞, 于淼, 石贵山, 王新鼎, 李扬, 高士杰, 陆晓春, 王鼐, 刁现民. 中国粒用杂交高粱的绿色革命[J]. 中国农业科学, 2025, 58(8): 1494-1507.
[9]	刘劲松, 伍龙梅, 包晓哲, 刘志霞, 张彬, 杨陶陶. 短期减施氮肥对华南地区早晚兼用型水稻产量和稻米品质的影响[J]. 中国农业科学, 2025, 58(8): 1508-1520.
[10]	韦文华, 李盼, 邵冠贵, 樊志龙, 胡发龙, 范虹, 何蔚, 柴强, 殷文, 赵连豪. 西北灌区青贮玉米产量及品质对减量灌水与有机无机肥配施的响应[J]. 中国农业科学, 2025, 58(8): 1521-1534.
[11]	薛钰琦, 赵继玉, 孙旺胜, 任佰朝, 赵斌, 刘鹏, 张吉旺. 不同氮素形态对夏玉米产量和品质的影响[J]. 中国农业科学, 2025, 58(8): 1535-1549.
[12]	李绍兴, 宋稳锋, 魏泽煜, 周玉玲, 宋李霞, 任可, 马群, 王龙昌. 秸秆与紫云英覆盖对土壤肥力及甘薯产量的影响[J]. 中国农业科学, 2025, 58(8): 1591-1603.
[13]	吴郁, 曲翔汝, 杨丹, 伍芩, 陈国跃, 江千涛, 魏育明, 许强. 广泛非靶向代谢组学解析小麦抗条锈病反应中叶绿体代谢产物[J]. 中国农业科学, 2025, 58(7): 1333-1343.
[14]	尹波, 于爱忠, 王鹏飞, 杨学慧, 王玉珑, 尚永盼, 张冬玲, 刘亚龙, 李悦, 王凤. 绿肥还田结合氮肥减施对干旱灌区麦田土壤水热特征及小麦产量的影响[J]. 中国农业科学, 2025, 58(7): 1366-1380.
[15]	陈桂平, 李盼, 邵冠贵, 吴霞玉, 殷文, 赵连豪, 樊志龙, 胡发龙. 减量灌水与有机无机肥配施对青贮玉米吐丝期后叶片持绿特性的调控作用[J]. 中国农业科学, 2025, 58(7): 1381-1396.