小麦穗长主效QTL—qSl-2D的遗传和育种选择效应解析

doi:10.3864/j.issn.0578-1752.2023.20.001

Abstract

Abstract:

【Objective】By analyzing the genetic and breeding selection effects of the stable major QTL for spike length in wheat, its genetic effects on yield-related traits were clarified, and the future breeding application potential was evaluated. The results could provide a basis for subsequent gene mining and molecular breeding of wheat. 【Method】A major QTL for spike length, named qSl-2D, was detected in multiple environments using a recombinant inbred lines population derived from the cross of Kenong9204 and Jing411, denoted as KJ-RIL; Two molecular markers closely linked to qSl-2D were developed by using the InDel sites in target interval. The genetic effects of yield-related traits based on KJ-RIL, MY-F₂, NILs and natural mapping populations, were analyzed by combining genotype data of molecular markers or wheat 55K array, respectively. By genotyping the natural mapping population, the breeding selection effect of qSl-2D haplotype was parsed across different wheat regions and different ages. 【Result】QTL mapping results showed that qSl-2D could be detected in 7/10 sets of environmental data, and could explain 4.02%-10.10% of the phenotypic variation. The peak LOD of 5/10 sets of environmental data was positioned at 608.75 Mb. The results of genetic effect analysis showed that the enhancing allele of qSl-2D could significantly increase spike length in the four populations with different genetic backgrounds. In addition, it has positive effects on kernel number per spike and plant height, but has negative effects on thousand kernel weight, kernel weight per spike and yield per plant in most population backgrounds. Further analysis of plant height in KJ-RIL population showed that the enhancing allele had rod lowering effect on all internode lengths except the internode length below spike, which resulted in the insignificant increase in plant height. The results of qSl-2D haplotype analysis showed that the utilization rates of the long-spike haplotype Hap-AA-GG varied greatly in different wheat regions, with the highest utilization rate in the northern winter wheat region, accounting for 24%; while the short-spike haplotype Hap-CC-CC accounted for more than 30% in most wheat regions. Moreover, the utilization rate of qSl-2D long-spike haplotype showed a gradual decrease over time, while that of short-spike haplotype consistently maintained a higher selection trend. 【Conclusion】A stable major QTL-qSl-2D for spike length was identified, the enhancing allele of qSl-2D could significantly increase spike length under different genetic backgrounds, and had certain genetic effects on yield-related traits. The closely linked molecular markers developed in the target region can be used for the genetic improvement of wheat spike length and yield-related traits in wheat.

Key words: wheat (Triticum aestivum L.), spike length, major QTL, genetic effects analysis, molecular marker

DONG JiZi, CHEN LinQu, GUO HaoRu, ZHANG MengYu, LIU ZhiXiao, HAN Lei, TIAN ZhaoSaShuang, XU NingHao, GUO QingJie, HUANG ZhenJie, YANG AoYu, ZHAO ChunHua, WU YongZhen, SUN Han, QIN Ran, CUI Fa. Analysis of Genetic and Breeding Selection Effects of A Major QTL-qSl-2D for Wheat Spike Length[J].Scientia Agricultura Sinica, 2023, 56(20): 3917-3930.

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References 41

[1]	范涛, 李治, 蒋庆, 陈姝霖, 欧霞, 陈永艳, 任天恒. 小麦单位面积穗数和粒长主效QTL紧密连锁KASP标记的开发及其效应评价. 中国农业科学, 2021, 54(14): 2941-2951. doi: 10.3864/j.issn.0578-1752.2021.14.002
	FAN T, LI Z, JIANG Q, CHEN S L, OU X, CHEN Y Y, REN T H. Development and effect evaluation of KASP markers closely linked to major QTLs of spike number per unit area and grain length in wheat. Scientia Agricultura Sinica, 2021, 54(14): 2941-2951. (in Chinese) doi: 10.3864/j.issn.0578-1752.2021.14.002
[2]	刘凯, 邓志英, 李青芳, 张莹, 孙彩铃, 田纪春, 陈建省. 利用高密度SNP遗传图谱定位小麦穗部性状基因. 作物学报, 2016, 42(6): 820-831.
	LIU K, DENG Z Y, LI Q F, ZHANG Y, SUN C L, TIAN J C, CHEN J S. Mapping QTLs for wheat panicle traits with high density SNP genetic map. Acta Agronomica Sinica, 2016, 42(6): 820-831. (in Chinese)
[3]	杨光. 四倍体和六倍体小麦穗部形态性状的比较及其演化规律研究[D]. 杨凌: 西北农林科技大学, 2021.
	YANG G. Comparison of morphological characters of ear between tetraploid and hexaploid wheat and study on their evolution law[D]. Yangling: Northwest A&F University, 2021. (in Chinese)
[4]	HUANG X Q, KEMPF H, GANAL M W, RÖDER M S. Advanced backcross QTL analysis in progenies derived from a cross between a German elite winter wheat variety and a synthetic wheat (Triticum aestivum L.). Theoretical and Applied Genetics, 2004, 109(5): 933-943. doi: 10.1007/s00122-004-1708-7
[5]	DENG S M, WU X R, WU Y Y, ZHOU R H, WANG H G, JIA J Z, LIU S B. Characterization and precise mapping of a QTL increasing spike number with pleiotropic effects in wheat. Theoretical and Applied Genetics, 2011, 122(2): 281-289. doi: 10.1007/s00122-010-1443-1 pmid: 20872211
[6]	CUI F, DING A M, LI J, ZHAO C H, WANG L, WANG X Q, QI X L, LI X F, LI G Y, GAO J R, WANG H G. QTL detection of seven spike-related traits and their genetic correlations in wheat using two related RIL populations. Euphytica, 2012, 186(1): 177-192. doi: 10.1007/s10681-011-0550-7
[7]	CUI F, ZHAO C H, DING A M, LI J, WANG L, LI X F, BAO Y G, LI J M, WANG H G. Construction of an integrative linkage map and QTL mapping of grain yield-related traits using three related wheat RIL populations. Theoretical and Applied Genetics, 2014, 127(3): 659-675. doi: 10.1007/s00122-013-2249-8 pmid: 24326459
[8]	FAN X L, CUI F, JI J, ZHANG W, ZHAO X Q, LIU J J, MENG D Y, TONG Y P, WANG T, LI J M. Dissection of pleiotropic QTL regions controlling wheat spike characteristics under different nitrogen treatments using traditional and conditional QTL mapping. Frontiers in Plant Science, 2019, 10: 187. doi: 10.3389/fpls.2019.00187 pmid: 30863417
[9]	LI T, DENG G B, SU Y, YANG Z, TANG Y Y, WANG J H, QIU X, PU X, LI J, LIU Z H, ZHANG H L, LIANG J J, YANG W Y, YU M Q, WEI Y M, LONG H. 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
[10]	YANG Y, AMO A, WEI D, CHAI Y M, ZHENG J, QIAO P F, CUI C G, LU S, CHEN L, HU Y G. Large-scale integration of meta-QTL and genome-wide association study discovers the genomic regions and candidate genes for yield and yield-related traits in bread wheat. Theoretical and Applied Genetics, 2021, 134(9): 3083-3109. doi: 10.1007/s00122-021-03881-4 pmid: 34142166
[11]	XU H W, ZHANG R Q, WANG M M, LI L H, YAN L, WANG Z, ZHU J, CHEN X Y, ZHAO A J, SU Z Q, XING J W, SUN Q X, NI Z F. Identification and characterization of QTL for spike morphological traits, plant height and heading date derived from the D genome of natural and resynthetic allohexaploid wheat. Theoretical and Applied Genetics, 2022, 135(2): 389-403. doi: 10.1007/s00122-021-03971-3
[12]	MA Z Q, ZHAO D M, ZHANG C Q, ZHANG Z Z, XUE S L, LIN F, KONG Z X, TIAN D G, LUO Q Y. Molecular genetic analysis of five spike-related traits in wheat using RIL and immortalized F₂ populations. Molecular Genetics and Genomics, 2007, 277(1): 31-42. doi: 10.1007/s00438-006-0166-0
[13]	WU X Y, CHENG R R, XUE S L, KONG Z X, WAN H S, LI G Q, HUANG Y L, JIA H Y, JIA J Z, ZHANG L X, MA Z Q. Precise mapping of a quantitative trait locus interval for spike length and grain weight in bread wheat (Triticum aestivum L.). Molecular Breeding, 2014, 33(1): 129-138. doi: 10.1007/s11032-013-9939-4
[14]	王佳佳. 小麦基部小穗不育突变体穗部性状的QTL定位[D]. 泰安: 山东农业大学, 2014.
	WANG J J. QTL mapping of panicle traits of spikelet sterile mutant at the base of wheat[D]. Taian: Shandong Agricultural University, 2014. (in Chinese)
[15]	ZHANG G Z, WANG Y Y, GUO Y, ZHAO Y, KONG F M, LI S S. Characterization and mapping of QTLs on chromosome 2D for grain size and yield traits using a mutant line induced by EMS in wheat. The Crop Journal, 2015, 3(2): 135-144. doi: 10.1016/j.cj.2014.11.002
[16]	ZHAI H J, FENG Z Y, LI J, LIU X Y, XIAO S H, NI Z F, SUN Q X. QTL analysis of spike morphological traits and plant height in winter wheat (Triticum aestivum L.) using a high-density SNP and SSR-based linkage map. Frontiers in Plant Science, 2016, 7: 1617.
[17]	程瑞如. 小麦粒形的分子遗传分析及穗长基因HL1的精细定位[D]. 南京: 南京农业大学, 2018.
	CHENG R R. Molecular genetic analysis of wheat kernel dimensions and fine mapping of spike length QTL HL1[D]. Nanjing: Nanjing Agricultural University, 2018. (in Chinese)
[18]	李聪, 马建, 刘航, 丁浦洋, 杨聪聪, 张涵, 秦娜娜, 兰秀锦. 基于小麦55K SNP芯片检测小麦穗长和株高性状QTL. 麦类作物学报, 2019, 39(11): 1284-1292.
	LI C, MA J, LIU H, DING P Y, YANG C C, ZHANG H, QIN N N, LAN X J. Detection of QTLs for spike length and plant height in wheat based on 55K SNP array. Journal of Triticeae Crops, 2019, 39(11): 1284-1292. (in Chinese)
[19]	柴岭岭. 普通小麦2D染色体株高和穗长QTL的精细定位与图位克隆[D]. 北京: 中国农业大学, 2019.
	CHAI L L. Fine mapping and map-based cloning of QTL controlling plant height and spike length on chromosome 2D in common wheat (Triticum aestivum L.)[D]. Beijing: China Agricultural University, 2019. (in Chinese)
[20]	水志杰, 安沛沛, 刘天相, 吴洪启, 刘乐, 史雪, 王中华. 利用人工合成小麦RIL群体进行小麦穗长和穗宽性状的QTL分析. 麦类作物学报, 2020, 40(6): 656-664.
	SHUI Z J, AN P P, LIU T X, WU H Q, LIU L, SHI X, WANG Z H. QTL analysis of spike length and width using RIL population of synthetic wheat. Journal of Triticeae Crops 2020, 40(6): 656-664. (in Chinese)
[21]	姚俭昕. 基于50K芯片的小麦穗部及籽粒相关性状的QTL定位[D]. 杨凌:西北农林科技大学, 2020. YAO J X. QTL mapping of wheat ear and kernel related traits based on 50K Chips[D]. Yangling: Northwest A&F University, 2020. (in Chinese)
[22]	吕栋云. 基于两个RIL群体的小麦产量相关性状的QTL定位[D]. 杨凌:西北农林科技大学, 2021. LÜ D Y. QTL mapping for yield-related traits in wheat based on two RIL populations[D]. Yangling: Northwest A&F University, 2021. (in Chinese)
[23]	JI G S, XU Z B, FAN X L, ZHOU Q, YU Q, LIU X F, LIAO S M, FENG B, WANG T. Identification of a major and stable QTL on chromosome 5A confers spike length in wheat (Triticum aestivum L.). Molecular Breeding, 2021, 41(9): 56-68. doi: 10.1007/s11032-021-01249-6
[24]	陈黄鑫, 李聪, 吴坤燕, 王岳, 牟杨, 唐华苹, 唐力为, 兰秀锦, 马建. 四倍体小麦株高和穗长性状的QTL定位及其遗传效应分析. 麦类作物学报, 2022, 42(7): 799-807.
	CHEN H X, LI C, WU K Y, WANG Y, MU Y, TANG H P, TANG L W, LAN X J, MA J. Detection of QTLs for plant height and spike length in tetraploid wheat and analysis of their genetic effect. Journal of Triticeae Crops, 2022, 42(7): 799-807. (in Chinese)
[25]	胡文静, 李东升, 裔新, 张春梅, 张勇. 小麦穗部性状和株高的QTL定位及育种标记开发和验证. 作物学报, 2022, 48(6): 1346-1356. doi: 10.3724/SP.J.1006.2022.11055
	HU W J, LI D S, YI X, ZHANG C M, ZHANG Y. Molecular mapping and validation of quantitative trait loci for spike-related traits and plant height in wheat. Acta Agronomica Sinica, 2022, 48(6): 1346-1356. (in Chinese) doi: 10.3724/SP.J.1006.2022.11055
[26]	杨在君, 彭丽娟. 小麦三雌蕊突变体主要农艺性状的遗传力分析. 西华师范大学学报(自然科学版), 2013, 34(1): 1-4.
	YANG Z J, PENG L J. Heritability analysis of main agronomic traits in common wheat line three pistils. Journal of China West Normal University (Natural Science), 2013, 34(1): 1-4. (in Chinese)
[27]	CUI F, ZHANG N, FAN X L, ZHANG W, ZHAO C H, YANG L J, PAN R Q, CHEN M, HAN J, ZHAO X Q, JI J, TONG Y P, ZHANG H X, JIA J Z, ZHAO G Y, LI J M. Utilization of a Wheat660K SNP array-derived high-density genetic map for high-resolution mapping of a major QTL for kernel number. Scientific Reports, 2017, 7: 3788. doi: 10.1038/s41598-017-04028-6 pmid: 28630475
[28]	CUI F, FAN X L, CHEN M, ZHANG N, ZHAO C H, ZHANG W, HAN J, JI J, ZHAO X Q, YANG L J, ZHAO Z W, TONG Y P, WANG T, LI J M. QTL detection for wheat kernel size and quality and the responses of these traits to low nitrogen stress. Theoretical and Applied Genetics, 2016, 129(3): 469-484. doi: 10.1007/s00122-015-2641-7 pmid: 26660466
[29]	刘朦朦, 张萌娜, 张倩倩, 刘锡建, 郭宇航, 孙靳惠, 武亚瑞, 王素容, 吴永振, 孙晗, 崔法, 赵春华. 小麦旗叶宽主效QTL-QFlw-5B遗传效应解析. 麦类作物学报, 2019, 39(12): 1399-1405.
	LIU M M, ZHANG M N, ZHANG Q Q, LIU X J, GUO Y H, SUN J H, WU Y R, WANG S R, WU Y Z, SUN H, CUI F, ZHAO C H. Genetic analysis of a major stable QTL-QFlw-5B for wheat flag leaf width. Journal of Triticeae Crops, 2019, 39(12): 1399-1405. (in Chinese)
[30]	崔俊鹏, 赵慧, 张倩倩, 宫娜, 刘朦朦, 张萌娜, 侯玉竹, 刘成, 李林志, 周芳婷, 吴永振, 孙晗, 赵春华, 崔法. 小麦穗粒数主效QTL-qKnps-4A遗传效应解析. 分子植物育种, 2019, 17(11): 3632-3640.
	CUI J P, ZHAO H, ZHANG Q Q, GONG N, LIU M M, ZHANG M N, HOU Y Z, LIU C, LI L Z, ZHOU F T, WU Y Z, SUN H, ZHAO C H, CUI F. Genetic effects analysis of major QTL-qKnps-4A for kernel per spike in common wheat. Molecular Plant Breeding, 2019, 17(11): 3632-3640. (in Chinese)
[31]	张倩倩, 闫学梅, 刘锡建, 张萌娜, 刘朦朦, 周芳婷, 吴永振, 孙晗, 赵春华, 崔法. 小麦穗粒数主效 QTL-qKnps-2A 遗传效应解析. 分子植物育种, 2020, 18(15): 5003-5009.
	ZHANG Q Q, YAN X M, LIU X J, ZHANG M N, LIU M M, ZHOU F T, WU Y Z, SUN H, ZHAO C H, CUI F. Genetic analysis of qKnps-2A: A major stable QTL for kernel number per spike in common wheat. Molecular Plant Breeding, 2020, 18(15): 5003-5009. (in Chinese)
[32]	CUI F, FAN X L, ZHAO C H, ZHANG W, CHEN M, JI J, ZHANG W, LI J M. A novel genetic map of wheat: Utility for mapping QTL for yield under different nitrogen treatments. BMC Genetics, 2014, 15: 57. doi: 10.1186/1471-2156-15-57 pmid: 24885313
[33]	ZHANG N, FAN X L, CUI F, ZHAO C H, ZHANG W, ZHAO X Q, YANG L J, PAN R Q, CHEN M, HAN J, JI J, LIU D C, ZHAO Z W, TONG Y P, ZHANG A M, WANG T, LI J M. Characterization of the temporal and spatial expression of wheat (Triticum aestivum L.) plant height at the QTL level and their influence on yield-related traits. Theoretical and Applied Genetics, 2017, 130(6): 1235-1252. doi: 10.1007/s00122-017-2884-6
[34]	SHI X L, CUI F, HAN X Y, HE Y L, ZHAO L, ZHANG N, ZHANG H, ZHU H D, LIU Z X, MA B, ZHENG S S, ZHANG W, LIU J J, FAN X L, SI Y Q, TIAN S Q, NIU J Q, WU H L, LIU X Y, CHEN Z, MENG D Y, ZHANG H, WANG X Y, SONG L Q, SUN L J, HAN J, ZHAO H, JI J, WANG Z G, HE X Y, LI R L, CHI X B, LIANG C Z, NIU B, XIAO J, LI J M, LING H. Comparative genomic and transcriptomic analyses uncover the molecular basis of high nitrogen-use efficiency in the wheat cultivar Kenong 9204. Molecular Plant, 2022, 15(9): 1440-1456. doi: 10.1016/j.molp.2022.07.008
[35]	朱志翔. 遗传分析软件QGAStation2.0和GMDR-GPU的开发[D]. 杭州: 浙江大学, 2012.
	ZHU Z X. Development of the genetic analysis software QGAStation 2.0 and GMDR-GPU[D]. Hangzhou: Zhejiang University, 2012. (in Chinese)
[36]	崔勇. 不同施氮期对小麦主要农艺性状影响的QTL分析[D]. 泰安: 山东农业大学, 2013.
	CUI Y. QTL mapping for main agronomic traits in Wheat under various nitrogen supplying dates[D]. Taian: Shandong Agricultural University, 2013. (in Chinese)
[37]	刘书含, 侯立江, 华冠勋, 宋瑜龙, 牛娜, 马守才, 宋亚珍, 王军卫, 张改生. 大穗材料高麦1号/密小穗F₂群体穗长性状的QTL初步定位. 麦类作物学报, 2016, 36(4): 409-414.
	LIU S H, HOU L J, HUA G X, SONG Y L, NIU N, MA S C, SONG Y Z, WANG J W, ZHANG G S. Quantitative trait loci mapping of spike length using F_2,population of Gaomai 1/Mixiaosui in Wheat (Triticum aestivum L.). Journal of Triticeae Crops, 2016, 36 (4): 409-414. (in Chinese)
[38]	XU X, LI X J, ZHANG D H, ZHAO J S, JIANG X L, SUN H L, RU Z G. Identification and validation of QTLs for kernel number per spike and spike length in two founder genotypes of wheat. BMC Plant Biology, 2022, 22(1): 146. doi: 10.1186/s12870-022-03544-6 pmid: 35346053
[39]	LIU H, SHI Z P, MA F F, XU Y F, HAN G H, ZHANG J P, LIU D C, AN D G. Identification and validation of plant height, spike length and spike compactness loci in common wheat (Triticum aestivum L.). BMC Plant Biology, 2022, 22(1): 568. doi: 10.1186/s12870-022-03968-0
[40]	HEDDEN P. The genes of the Green Revolution. Trends in Genetics, 2003, 19(1): 5-9. doi: 10.1016/s0168-9525(02)00009-4 pmid: 12493241
[41]	PENG J, RICHARDS D E, HARTLEY N M, MURPHY G P, DEVOS K M, FLINTHAM J E, BEALES J, FISH, L J, WORLAND A J, PELICA F, SUDHAKAR D, CHRISTOU P, SNAPE J W, GALE M D, HARBERD N P. “Green revolution” genes encode mutant gibberellin response modulators. Nature, 1999, 400: 256-261. doi: 10.1038/22307

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环境 Environments	位置 Position (Mb)	左端标记 Left marker	右端标记 Right marker	LOD	表型变异率 PVE (%)	加性效应 Add
E1	608.75	AX-111528013	AX-95178308	10.13	4.02	-0.20
E3	608.75	AX-111528013	AX-95178308	9.07	10.10	-0.24
E4	608.75	AX-111528013	AX-95178308	9.07	8.73	-0.25
E7	577.75	AX-109437399	AX-94823865	5.72	8.31	-0.22
E8	608.75	AX-111528013	AX-95178308	5.63	7.93	-0.21
LN-BLUE	609.75	AX-95178308	AX-108752409	8.42	9.85	-0.19
HN-BLUE	608.75	AX-111528013	AX-95178308	9.82	8.49	-0.20

基因型 Genotype	性状Traits
基因型 Genotype	穗下节间长 ILBS (cm)	倒二节间长 SECITL (cm)	倒三节间长 THIITL (cm)	倒四节间长 FOUITL (cm)	倒五节间长 FIFITL (cm)
Hap-KN9204	20.71±3.82	19.78±2.11	13.55±1.37	9.50±1.34	5.78±1.28
Hap-J411	21.16±4.14	19.37±2.13	13.37±1.31	9.33±1.31	5.49±1.40

基因型 Genotype	性状Traits
基因型 Genotype	穗长 SL (cm)	株高 PH (cm)	穗粒数 KNPS	每穗小穗数 SNPS	单株穗数 SN	千粒重 TKW (g)	小穗密度 SD
NIL-KN9204	7.73±0.50	61.17±1.92	53.75±3.40	18.50±1.69	8.42±2.37	39.07±3.68	2.93±3.40
NIL-J411	8.5±0.57**	61.58±2.43	55.67±5.68	18.71±2.49	10.14±1.77	38.54±2.96	2.27±0.20

基因型 Genotype	性状Traits
基因型 Genotype	穗长 SL (cm)	株高 PH (cm)	穗粒数 KNPS	每穗小穗数 SNPS	千粒重 TKW (g)	小穗密度 SD
Hap-M37	10.08±0.74^**	78.33±5.90^**	57.89±7.62	20.00±1.12	41.62±2.96	3.95±3.47^**
Hap-YN999	9.16±0.93	74.99±5.21	55.26±7.23	19.20±1.46	41.44±4.11	2.13±0.21

QTL名称 QTL name	左端标记 Left marker	右端标记 Right marker	区间 Interval (Mb)	参考文献 Reference
QSl2D-1	XGWM296	XWMC112	17.61—23.02	[36]
QSl2D-2	XCFD53	XWMC18	23.02—130.83	[36]
QSl2D-3	XGWM296	XGWM261	17.61—19.62	[36]
QSl2D-4	XGWM311.2	XBARC129.2	647.51-	[36]
QSl2D-5	XWMC112	XCFD53	—23.02	[36]
QSpl.nau-2D	Xcfd53	DG371	23.02—	[13]
QTL	wmc181	gs2a	593.74—	[15]
QTL	gwm261	barc168	19.62—44.74	[15]
QTL	Xcfd53	Xwmc18	23.02—130.83	[37]
QTL	Xwgrc1257	DG371	/	[17]
QSl.sau.2D.1	AX-111096297	AX-109422526	32.97—35.02	[18]
QSl.sau.2D.2	AX-110552569	AX-111660432	602.14—606.92	[18]
qSL-2D.1	AX-111939856	AX-111497351	30.49—31.58	[19]
Qsl.nwsuaf-2D	tplb0053n05_793	Kukri_c51992_290	20.77—22.45	[20]
QSL-XX.2D	AX-111561744	AX-179557748	23.42—31.56	[21]
MQTL-2D-1	2243439--D	GDEEGVY02I0IOX_61	2.69—8.98	[10]
MQTL-2D-2	D_contig74612	253--2243548	5.44—10.32	[10]
MQTL-2D-3	3222417--D	GA8KES401CIV9Z_240	24.98—28.76	[10]
MQTL-2D-4	1282771	983316	28.88—36.42	[10]
QTL	AX-109911369	AX-111087066	18.2—36.89	[38]
QSl.cas-2D.2	AX-110462142	AX-110168677	585.69—601.05	[39]

Analysis of Genetic and Breeding Selection Effects of A Major QTL-qSl-2D for Wheat Spike Length

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