控制玉米雄穗分枝数目和雄穗重的主效QTL的定位

利用2套具有共同亲本黄早四且分别含有230个及235个家系的F2：3群体,结合2年多点的表型鉴定,运用完备复合区间作图方法对不同生态环境下（2007-北京、2008-北京、2007-河南、2008-河南、2007-新疆以及2008-新疆）的玉米雄穗分枝数和雄穗重进行QTL定位。同时,利用基于混合线性模型的QTLNetwork-2.0软件进行基因×环境互作及上位性分析。6个环境下2个群体共检测到51个与雄穗分枝数和雄穗重相关的QTL（Q/H群体32个,Y/H群体19个）,其中包括7个主效QTL,并在Q/H群体中确定了2个重要的QTL,即位于7.01bin的Qqtpbn7-1和位于7.02bin的Qqtw7-2。对比2个群体的定位结果,共挖掘到3个在不同遗传背景下的＂一致性＂QTL,这些在不同环境及不同遗传背景下能够稳定存在的QTL可为玉米雄穗相关性状的生产应用以及精细定位提供有价值的参考。     

控制玉米雄穗分枝数目和雄穗重的主效QTL的定位

利用2套具有共同亲本黄早四且分别含有230个及235个家系的F_2:3群体, 结合2年多点的表型鉴定, 运用完备复合区间作图方法对不同生态环境下(2007-北京、2008-北京、2007-河南、2008-河南、2007-新疆以及2008-新疆)的玉米雄穗分枝数和雄穗重进行QTL定位。同时, 利用基于混合线性模型的QTLNetwork-2.0软件进行基因×环境互作及上位性分析。6个环境下2个群体共检测到51个与雄穗分枝数和雄穗重相关的QTL(Q/H群体32个, Y/H群体19个), 其中包括7个主效QTL, 并在Q/H群体中确定了2个重要的QTL, 即位于7.01bin的Qqtpbn7-1和位于7.02bin的Qqtw7-2。对比2个群体的定位结果, 共挖掘到3个在不同遗传背景下的“一致性”QTL, 这些在不同环境及不同遗传背景下能够稳定存在的QTL可为玉米雄穗相关性状的生产应用以及精细定位提供有价值的参考。     

控制水稻重要农艺性状的QTL在盐胁迫与非胁迫条件下的对比研究

基因型与环境的互作(G×E)对数量性状的影响常常掩盖了遗传因子引起的性状变化. 在盐胁迫环境与非胁迫环境下分别调查了水稻(Oriza sativa L.) 5个重要的农艺性状, 总共检测到24个QTL, 分布在除第9, 11号染色体外的各染色体上. 盐胁迫环境中检出了9个QTL: 千粒重1个; 抽穗期2个; 株高1个; 每穗粒数2个; 有效分蘖3个, 占总数的37.5%; 非胁迫环境中则检出了17个QTL: 千粒重5个; 抽穗期6个; 株高3个; 每穗粒数2个; 有效分蘖1个, 占总数的70.8%; 有两个QTL在两种环境中都检测到, 占总数的8.3%, 它们分别是位于第4染色体上控制抽穗期的QTL和位于第6染色体上控制每穗粒数的QTL. 此外, 还检测出3个包含多个QTL的区间, 它们分别位于第1, 4和8染色体上, 其中第1染色体上RG612分子标记附近检出两个QTL, 在盐胁迫环境与非胁迫环境中分别控制有效分蘖和抽穗期这两个重要的农艺性状, 其加性效应均由来源于JX17的等位基因提供; 第4染色体上的C975-RG449区间检测到2个QTL, qrHD-4c在非协迫环境中控制抽穗期, qrGPP-4s则在胁迫环境中控制每穗粒数; 第8染色体上的RG885-GA408区间检测到3个QTL, 在非胁迫环境下分别控制抽穗期、千粒重、株高3个性状, 在胁迫环境下则未能检测到. 通过对水稻在盐胁迫环境与非胁迫环境下的QTL对比研究, 发现水稻第8染色体上几个控制水稻重要农艺性状的QTL明显受盐胁迫的影响.     

不同生长环境下水稻穗伸出度的QTL分析

以十和田/昆明小白谷225个F14家系为作图群体,在云南省弥勒县(正常生长环境)、嵩明县(自然低温胁迫环境)、丽江市(自然低温胁迫环境)等3个试点不同年份共5种不同生长环境下进行了水稻主穗和分蘖穗穗伸出度的异地鉴定,并利用SSR标记对水稻穗伸出度进行了QTL分析。检测结果表明,在5种不同的生长环境下共检测到12个与水稻穗伸出度相关的QTL,分别分布于第1(2个QTLs)、2、4、6(3个QTLs)、7(3个QTLs)、9(2个QTLs)号染色体,对表型的贡献率为3.72%~22.17%。其中与主穗穗伸出度相关的QTL共11个,与分蘖穗穗伸出度相关的QTL共7个,其中6个在主穗和分蘖穗上均检测到。在与主穗穗伸出度相关的11个QTL中,q PE-7-1在4种环境下均被检测到,解释的表型变异为9.49%~22.17%;q PE-1-1、q PE-1-2、q PE-6-1和q PE-9-2 4个QTL在2种环境下均被检测到。在与分蘖穗穗伸出度相关的7个QTL中,q PE-1-2、q PE-7-1和q PE-6-1 3个QTL在2种环境中均被检测到,解释的表型变异率分别为4.35%~12.64%、13.22%~20.89%和11.49%~15.73%。     

干旱胁迫和正常灌溉条件下玉米开花相关性状的QTL分析

干旱是影响玉米生产的重要限制因素,特别是花期对干旱胁迫非常敏感.本研究通过对玉米L050× B73的180个F2:3家系进行开花期干旱胁迫处理和分子标记鉴定,重点对开花相关性状进行了数量性状位点(QTL)分析.结果表明,在干旱胁迫处理条件下,存在与出苗到抽雄天数有关的6个QTL,位于第1、6、9染色体上各1个,位于第3染色体上有3个,共可解释的表现型变异为55.0%;基于出苗到散粉天数检测到4个QTL,其中两个位于第3染色体上,位于第1、2染色体上各1个,共可解释的表型变异为52.8%;对出苗到吐丝天数检测到分别位于第3、6染色体上的2个QTL,共可解释的表现型变异为20.4%;对抽雄至吐丝间隔天数(ASI)只检测位于第6染色体上的1个QTL,可解释6.5%的表现型变异.而正常灌溉环境下,检测到出苗到抽雄天数检测到1个QTL,位于第9染色体上,可解释的变异为15.0%;对出苗到散粉天数检测到3个QTL,位于第1、3、9染色体上,共可解释的变异为55.0%;对出苗到吐丝天数检测到4个QTL,分别位于第1、2、3、7染色体上.共可解释表现型变异的46.8%;对ASI检测到分别位于第2、6染色体上的2个QTL,可解释的变异为15.5%.这些QTL的基因效应以显性与超显性为主.     

人工合成小麦Am3大穗多粒QTL的发掘与利用

穗粒数是小麦的重要产量性状之一,本研究以人工合成双二倍体小麦Am3为供体,普通小麦品种莱州953为受体,培育出了高穗粒数BC5F1导入系,以导入系后代75个BC5F1为材料,利用复合区间作图法对其进行穗部性状的QTL定位。共检测到2个控制穗长、4个控制小穗数、2个控制穗粒数的QTL位点,贡献率分别为1％～22％、1％～9％和1％～15％。其中穗长和穗粒数分别有1个QTL能在两年重复检测到。并且在1A染色体上检测到同时控制小穗数和穗粒数的QTL,穗长和小穗数的QTL被定位在4A染色体上同一个区域,表明这2个位点是与穗部性状有关的热点区域。本研究发现的QTL多为来自Am3的新位点,对于小麦改良将具有重要价值。     

水稻穗颈维管束及穗部性状的QTL分析

以籼稻 (OryzasativaL .ssp .indicaZYQ8)和粳稻 (O .sativassp .japonicaJX17)的杂交F1代花培加倍的DH群体为材料考察了该群体的穗颈节大小维管束数、一次枝梗数、每穗颖花数、穗颈节顶部直径和穗长 ,并用该群体构建的分子图谱进行数量性状座位 (QTL)分析。检测到控制大维管束的 3个QTL (qLVB_1、qLVB_6和qLVB_7)分别位于第 1、第 6和第 7染色体 ;控制小维管束的 2个QTL (qSVB_4和qSVB_6 )分别位于第 4和第 6染色体 ;控制一次枝梗的 4个QTL (qPRB_4a、qPRB_4b、qPRB_6和qPRB_7)分别位于第 4(2个 )、第 6和第 7染色体 ;每穗颖花数的 3个QTL (qSPN_4a、qSPN_4b和qSPN_6 )分别位于第 4(2个 )和第 6染色体上 ;穗颈节顶部直径的 5个QTL (qPTD_2、qPTD_5、qPTD_6、qPTD_8和qPTD_12 )分别位于第 2、第 5、第 6、第 8和第 12染色体 ;穗长的 3个QTL (qPL_4、qPL_6和qPL_8)分别位于第 4、第 6、第 8染色体上。其中qLVB_6、qSVB_6、qSPN_6、qPTD_6和qPL_6均位于第 6染色体的G12 2_G1314b之间 ;qPL_8和qPTD_8位于第 8染色体的GA40 8_BP12 7a之间 ;qPRB_4a和qSPN_4a位于第 4染色体的G177_CT2 0 6之间 ;qPL_4和qSPN_4b位于第 4染色体CT40 4_CT5 0 0之间 ;qSVB_4所在的区间与qPL_4、qSPN_4b和qPRB_4b所在的区间相邻。     

不同水分条件下玉米株高和穗位高的QTL分析

干旱是影响玉米产量的重要因素.在干旱条件下,玉米株高和穗位高往往受到影响,因此是研究耐旱性的重要指标.本研究利用A188×91黄15的F2∶3家系,进行株高和穗位高的数量性状位点(QTL)分析.结果表明,在水分胁迫条件下,分别各有10个QTL与株高和穗位高有关;在水分充足条件下,则检测到各有6个QTL与株高和穗位高有关.各QTL解释的表型变异在7.3%～53.9%之间.位于第8染色体上的QTL个数占总QTL近50%,LOD值均大于4.6,推测该染色体存在控制玉米株高和穗位高QTL的重要区域.本研究在bnlg1812标记附近检测到在水分胁迫下同时控制株高和穗位高的QTL,解释的表型变异在20%以上,该QTL是值得进一步研究和利用的位点.     

谷子SSR分子图谱的构建及主要农艺性状QTL定位

试验拟对谷子重要农艺性状进行数量性状位点QTL分析。以表型差异较大的沈3/晋谷20F2作图群体为材料,观测其株高、穗长等性状,选用SSR做分子标记,利用完备区间作图法(BASTEN C J)进行QTL分析。结果显示,表型数据在作图群体中呈现连续分布,表现为多基因控制的数量性状,被整合的54个SSR标记构建10个连锁群,LOD阈值设置为2.0,检测到与株高相关的主效QTL2个,联合贡献率45.9637%,穗长主效QTL1个,贡献率14.9647%,与穗重、粒重相关的主效QTL为同一位点,贡献率分别为11.9601%和10.1879%。有6组QTL位点之间存在基因互作效应,大小范围为-0.4986-16.6407,对性状的贡献率在2.2716％至6.7478％之间。谷子表型控制复杂,相关QTL的检测受环境影响较大,不同连锁群QTL间互作明显。     

小麦-冰草衍生后代 3558-2 穗部相关性状的遗传分析和QTL定位

从普通小麦Fukuho与冰草(Agropyron cristatum,2n=4x=28,PPPP)Z559的衍生系中发现3558-2具有小穗数、小穗粒数和穗粒数多的优异性状.为了揭示衍生系3558-2优异性状的遗传特征,本研究对其与小麦品种京4841间的282个F2单株的穗长、小穗数、小穗粒数、穗粒数等穗部相关性状进行了遗传分析和QTL定位.主基因+多基因混合遗传模型分析结果显示小麦穗部相关性状都符合数量性状特征.利用单标记分析将穗部相关性状的QTL主要定位于小麦1 A染色体上,同时发现在小麦的2A、5B和5D染色体上也有QTL分布.通过加密标记重点构建了1 A染色体短臂的遗传连锁图,利用复合区间作图法解析了小麦1AS染色体上的穗部相关性状的QTL效应,发现在1A染色体上存在与穗长、小穗数、小穗粒数和穗粒数相关的重要QTL各1个,解释变异度分别为14.41%、5.15%、14.84%和10.87%.本研究发现在3558-2的1 AS染色体上成簇分布着涉及穗长、小穗教、小穗粒数和穗粒数重要性状的QTL,这一结果对指导进一步研究与利用3558-2具有重要意义.     

Mapping QTLs and meta-QTLs for two inflorescence architecture traits in multiple maize populations under different watering environments

Drought significantly affects the architectural development of maize inflorescence, which leads to massive losses in grain yield. However, the genetic mechanism for traits involved in inflorescence architecture in different watering environments, remains poorly understood in maize. In this study, 19 QTLs for tassel primary branch number (TBN) and ear number per plant (EN) were detected in 2 F_2:3 populations under both well-watered and water-stressed environments by single environment mapping with composite interval mapping (CIM); 11/19 QTLs were detected under water-stressed environments. Moreover, 21 QTLs were identified in the 2 F_2:3 populations by joint analysis of all environments with a mixed linear model based on composite interval mapping (MCIM), 11 QTLs were involved in QTL × environment interactions, seven epistatic interactions were identified with additive by additive/dominance effects. Remarkably, 12 stable QTLs (sQTLs) were simultaneously detected by single environment mapping with CIM and joint analysis through MCIM, which were concentrated in ten bins across the chromosomes: 1.05_1.07, 1.08_1.10, 2.01_2.04, 3.01, 4.06, 4.09, 5.06_5.07, 6.05, 7.00, and 7.04 regions. Twenty meta-QTLs (mQTLs) were detected across 19 populations under 51 watering environments using a meta-analysis, and 34 candidate genes were predicted in corresponding mQTLs regions to be involved in the regulation of inflorescence development and drought resistance. Therefore, these results provide valuable information for finding quantitative trait genes and to reveal the genetic mechanisms responsible for TBN and EN under different watering environments. Furthermore, alleles for TBN and EN provide useful targets for marker-assisted selection to generate high-yielding maize varieties.     

Quantitative Trait Loci Mapping for ChlorophyⅡ Fluorescence and Associated Traits in Wheat （ Triticum aestivum）

Parameters of chlorophyll fluorescence kinetics （PCFKs） under drought stress condition are generally used to characterize instincts for dehydration tolerance in wheat （Triticum aestivum L.）. Therefore, it is important to map quantitative trait loci （QTLs） for PCFKs in wheat genetic improvement for drought tolerance. A doubled haploid （DH） population with 150 lines, derived from a cross between two common wheat varieties, Hanxuan 10 and Lumai 14, was used to analyze the correlation between PCFKs and chlorophyll content （CHIC） and to map QTLs at the grainfilling stage under conditions of both rainfed （drought stress, DS） and well-watered （WW）, respectively. QTLs for these traits were detected by QTLMapper version 1.0 based on the composite Interval mapping method of the mixed-linear model. The results showed a very significant positive correlation between Fv, Fm, Fv/Fm and Fv/Fo. The correlation coefficients were generally higher under WW than under DS. Also, there was a significant or a highly significant positive correlation between Fv, Fm, Fv/Fm, Fv/Fo and CHIC. The correlation coefficients were higher in the DS group than the WW group. A total of 14 additive QTLs （nine QTLs detected under DS and five QTLs under WW） and 25 pairs of eplstatlc QTLs （15 pairs detected under DS and 10 pairs under WW） for PCFKs were mapped on chromosomes 6A, 7A, 1B, 3B, 4D and 7D. The contributions of additive QTLs for PCFKs to phenotype variation were from 8.40% to 72.72%. Four additive QTLs （two QTLs detected under DS and WW apiece） controlling Chic were mapped on chromosomes 1A, 5A and 7A. The contributions of these QTLs for ChIC to phenotype variation were from 7.27% to 11.68%. Several QTL clusters were detected on chromosomes 1B, 7A and 7D, but no shared chromosomal regions for them were identified under different water regimes, indicating that these QTLs performed different expression patterns under rainfed and well-watered conditions.     

Relationship between QTLs for preharvest sprouting and alpha-amylase activity in rye grain

Preharvest sprouting (PHS) and high alpha-amylase activity (AA) negatively affect quality of rye grain. The objective of this study was to reveal genetic relationship between PHS and AA by developing a consensus map of QTLs controlling each trait. A method of composite interval mapping (CIM) was used to search for QTLs within the 541 × Ot1-3 and DS2 × RXL10 F₂ mapping populations representing wide variation range of both traits. Sixteen QTLs for AA were detected on chromosomes 1R (3), 2R (2), 3R (2), 4R (3), 5R (3), 6R (2) and 7R (1). Their distribution was not random showing a tendency of QTL location in distal regions of chromosomes. Nine QTLs for AA located on chromosome arms 1RS, 2RL, 3RS, 4RL, 5RS, 5RL, 6RS, 6RL and 7RS coincided with QTLs for PHS. Seven QTLs for AA independent from PHS were detected on chromosome arms 1RL (2), 2RS, 3RL, 4RS, 4RL and 5RL. Four QTLs for PHS not associated with those for AA were identified on chromosomes 1RL, 2RL, 5RL and 7RL. Partial overlapping of the genetic systems controlling AA and PHS suggests that alpha-amylase found in sound grain of rye could be produced through at least three independent mechanisms i.e. PHS at its initial stage, late maturity alpha-amylase (LMA) and/or retained pericarp alpha-amylase (RPAA). Six QTLs co-located on both maps were found on chromosome arms 1RS, 2RS, 5RS, 5RL, 6RS and 6RL. Valuable features of line Ot1-3 i.e. resistance to preharvest sprouting and low alpha-amylase production in ripening grain can be attributed to seven major QTLs from chromosomes 1RL, 2RL, 5RL (2), 6RL and 7R (2). This set of QTLs, identified in line Ot1-3, might be useful in breeding sprouting resistant cultivars of rye.     

Mapping QTLs for alpha-amylase activity in rye grain

Genetic control of alpha-amylase activity in rye grain was investigated by QTL mapping based on DS2 x RXL10 intercross consisting of 99 F5-6 families propagated at one location during four vegetation seasons. A wide range of variation in alpha-amylase activity and transgression effects were found among families and parental lines. This variation was shown to be determined in 40.1% by 7 significant (LOD score not less than 2.5) and 2 putative QTLs (2 < LOD < 2.5) distributed on all rye chromosomes except 4R. Two significant QTLs located on 3RL and 5RL chromosome arms were expressed each year. The third significant QTL was detected in three years (1RL). The other four significant QTLs (2RL, 5RS, 6RL, 7RL) were found in one year of study. The number and composition of QTLs were specific for a given year varying from three to six. QTLs were not correlated with isoenzyme polymorphisms at the structural alpha-Amy1 loci. A QTL associated with a region containing the alpha-Amy3 locus was detected on chromosome 5RL. Both high- and low-activity QTL alleles were found in each parental line, which explains the appearance of transgressive recombinants in the segregating population.     

两个相关基因表达量和SNP与玉米雄穗大小相关

玉米雄穗通常较发达,散粉量大于授粉需要,过量消耗能量会影响光合产物向果穗的分配,过于发达的雄穗还会影响群体透光性、降低光合效率。生产实践和育种研究证明,由于雄穗大小与玉米籽粒产量负相关,因此成为品种选育的间接选择指标。该研究根据前人的报道,从11个雄穗大小不同的玉米自交系中扩增角蛋白相关蛋白基因KAP5-4和受体样蛋白激酶基因CLV1的基因组序列,多重比较后用以分析其开放阅读框、保守结构和单核苷酸多态性,用荧光实时定量PCR检测其在雄穗原基中的差异表达,并与雄穗分枝数和雄穗干重两个度量雄穗小的指标进行了相关分析。结果表明:KAP5-4基因的相对表达量与雄穗分枝数(r=0.77,P0.01)和雄穗干重正相关(r=0.83,P0.01)。11个自交系的CLV1基因开放框在2 104 bp存在单核苷酸多态性,其中5个自交系的2 014~2 016 bp核苷酸组成密码子GAC,编码受体样蛋白第702位酸性的天冬氨酸,另6个自交系的2 014~2 016 bp核苷酸组成密码子AAC,编码受体样蛋白第702位极性天冬氨酰胺。在前5个自交系中,CLV1基因的相对表达量与雄穗分枝数(r=-0.92,P0.01)和雄穗干重(r=-0.91,P0.05)负相关;而在后6个自交系中,仅与雄穗干重负相关(r=-0.91,P0.05)。综上所述,KAP5-4和CLV1基因的表达和单核苷酸多态性与玉米雄穗大小关系密切,可开发功能性的DNA标记用于玉米育种的分子标记辅助选择。     

Genetic dissection of interactions between wheat flour starch and its components in two populations using two QTL mapping methods

Starch content and its components are important for determining wheat end-use quality and yield. However, little information is available about their interactions at the QTL/gene level in more than one population using different QTL mapping methods. Therefore, to dissect these interactions, two mapping populations from two locations over 2 years were used. The QTLs for the populations were analyzed by unconditional and conditional QTL mapping by two different analysis methods. In the two populations, there were a total of 24 unconditional additive QTLs detected for flour amylose (FAMS), flour amylopectin (FAMP), flour total starch (FTSC), and the ratio of FAMS to FAMP using ICIMapping4.1 methods, but 26 unconditional QTLs were found using QTLNetwork2.0 methods. Of these QTLs, 10 stable major additive QTLs were identified in more than one environment, mainly distributed on chromosomes 3B, 4A, 5A, and 7D. The maximum percentage of phenotypic variance explained (PVE) reached 54.31%. Two new unconditional major additive QTLs on chromosome 3B (Qftsc3B and Qfamp3B) were found. A total of 23 and 19 conditional additive QTLs were identified in the two populations using two different methods, respectively. Of which, eight and six stable major conditional QTLs were detected on chromosomes 3B, 4A, and 7D, respectively. New repressed QTLs were identified, such as Qftsc/fams5B-1 and Qftsc/fams5B-2. There were 20 epistatic unconditional and 15 conditional QTLs detected. In all, important QTLs on chromosomes 3B, 4A, and 7A were found in both populations. However, the number of important QTLs in the special recombinant inbred line (RIL) population was higher than that in the double haploid (DH) population, especially on chromosomes 7D and 5B. Moreover, the QTLs on chromosomes 4A, 7A, and 7D were close to the Wx-1 loci in the RIL population. These indicated better results can be obtained by a special population to target traits than by a common population. The important QTLs on key chromosomes can always be detected no matter what kinds of populations are used, such as the QTLs on chromosome 4A. In addition, QTL clusters were found on chromosomes 4A, 3B, 7A, 7D, and 5A in the two populations, indicating these chromosome regions were very important for starch biosynthesis.     

Genetic and QTL analysis of maize tassel and ear inflorescence architecture

Maize (Zea mays L.) ear inflorescence architecture is directly relevant to grain yield components, and tassel architecture is relevant to hybrid seed production. The objectives of this study were to (1) determine heritabilities and correlations of a comprehensive set of tassel and ear inflorescence architecture traits in a set of (Illinois Low Protein×B73) B73 S₁ families, (2) identify chromosomal positions of QTL affecting tassel and ear architecture, and (3) identify possible candidate genes associated with these QTL. For tassel traits, the number of detected QTL ranged from one to five, and explained between 6.5 and 35.9% of phenotypic variation. For ear traits, the number of detected QTL ranged from one to nine and phenotypic variation explained by those QTL varied between 7.9 and 53.0%. We detected QTL for tassel architecture traits that required calculation of ratios from measured traits. Some of these calculated traits QTL were detected in regions that did not show QTL for the measured traits, suggesting that calculation of ratios may reveal developmentally relevant patterns of tassel architecture. We detected a QTL on chromosome 7 for tassel branch number near the gene ramosa1 (ra1), which is known to control tassel branch number, making ra1 a candidate gene for tassel branch number. We detected QTL for several traits on chromosomes 6, 8, and 9, where no inflorescence architecture genes have been mapped, thus providing initial information towards new gene discovery for control of inflorescence architecture.     

小麦幼苗耐热性的QTL定位分析

以小麦DH群体(‘旱选10号’ב鲁麦14’)为材料,在高温(热胁迫)及常温(对照)两种条件下考察小麦幼苗的根干重、苗干重、幼苗生物量、叶片叶绿素含量、叶绿素荧光参数及其耐热指数,并应用基于混合线性模型的复合区间作图法分析幼苗性状及其耐热指数QTL的数量、染色体分布及表达情况,以及QTL与环境的互作效应。结果显示:(1)亲本‘旱选10号’的耐热性明显优于‘鲁麦14’,且杂交后代的耐热性出现超亲分离。(2)控制幼苗耐热相关性状的QTL位点在染色体2D、6B、3A、4A、5A和7A上分布较多,而控制幼苗性状耐热指数的QTL在染色体6A、6B、3A、2D、5A和7A上分布较多,QTL位点在染色体上的分布有区域化的趋势。(3)控制幼苗性状的单个加性QTL和上位性QTL解释的表型变异分别平均为2.48%和2.65%;而控制耐热指数的单个加性QTL和上位性QTL解释的表型变异分别平均为8.84%和1.98%。(4)在热胁迫和对照条件下共检测到与幼苗性状及其耐热指数有关的加性效应QTL 13个和上位性效应QTL 28对,分布在除4D和6D以外的19条染色体上。研究表明,控制幼苗性状的QTL以上位性效应为主,而其耐热指数的QTL以加性效应为主。