日本水稻品种越光稻米的外观品质性状的QTL遗传剖析

稻米外观品质是稻米品质的一个重要方面,是消费者选择的重要依据之一,在一定程度上影响稻米市场价格。本研究利用一个日本优质粳稻品种越光(轮回亲本)和一个印度的籼稻品种Kasalath杂交产生的回交重组自交系(backcross recombinant inbred lines,BILs)对7个控制稻米外观品质主要性状(粒长、粒宽、粒厚、粒长宽比、垩白粒率、垩白大小和垩白度)数量性状基因位点（quantitative trait locus,QTL）进行定位分析。共检测到影响7个性状的22个QTLs,分布在8条染色体上,贡献率为5.65％-29.20％。其中在第5染色体上的R2232分子标记附近区域检测到影响4个性状的QTLs;在第3染色体上C1448和第6染色体G200分子标记附近区域分别检测到同时影响3个性状的QTLs,表明了这3个染色体区域对控制稻米外观品质性状中的有着重要作用。本研究检测到的QTLs及其两侧的分子标记可以用于改良稻米外观品质的分子辅助育种。     

影响水稻穗部性状及籽粒碾磨品质的QTL及其环境互作分析

利用优质恢复系测258为轮回亲本与粳型糯稻新品系IR75862杂交创制的BC₁F₇回交导入系群体,在广西南宁和海南三亚定位了产量相关性状(二次枝梗数、穗总粒数、穗实粒数、粒重和穗重)、粒型(粒长、宽、厚)和碾磨品质(糙米率、精米率和整精米率)的主效QTL并剖析其环境互作效应。双亲在穗实粒数、千粒重、粒长和粒宽及整精米率等性状上存在显著差异。各产量相关性状间呈极显著正相关,而与千粒重和粒长呈极显著负相关。多数产量及粒型相关性状与3种碾磨品质相关不显著。在南宁和三亚环境下检测到影响产量相关性状、粒型及碾磨品质的主效QTL共计57个,包括二次枝梗数的6个,穗实粒数4个,穗总粒数、粒重和穗重各5个,粒长9个,粒宽7个,粒厚1个,糙米率4个,精米率5个和整精米率6个,分布在除第11染色体外的所有染色体上。多数影响枝梗数、穗粒数和粒重的QTL成簇分布,而且与影响BR、MR和HR的QTL分布在不同染色体区域。在第2、第3、第4、第5和第6染色体上鉴定出影响穗粒数、粒重、粒型及碾磨品质的重要QTL,这些QTL在以往不同遗传背景和环境下被多次检测到。在第8染色体RM152~RM310区间鉴定到1个影响粒长和粒宽的新的QTL,能同步增加粒宽和粒长。鉴定出的这些稳定表达的QTL具有标记辅助选择育种的应用价值。整精米率是受环境影响最大的性状,其QTL的环境互作效应明显。对QTL的环境互作效应特点及其在品种标记辅助改良中的作用进行了深入探讨。     

Simple sequence repeat markers reveal multiple loci governing grain-size variations in a japonica rice (Oryza sativa L.) mutant induced by cosmic radiation during space flight

Quantitative trait locus (QTL) for grain size traits that include grain length (GL), grain width (GW), grain thickness (GT) as well as thousand grain weight (TGW) were identified using F₂ population derived from a cross between a japonica cultivar Nongken58 and its large grain-sized mutant, ‘Dali’, which was selected in SP₂ generation of plants from Nongken58 seeds exposed to cosmic radiation upon space-flight, and then advanced it over eight successive generations by bagging the panicles to ensure self pollination. ‘Dali’ had similar GW and GT but 4.8 mm longer in GL, and 18.1 g heavier in TGW than those of Nongken58. Seven main-effect QTLs (M-QTLs) were identified for the grain size and weight traits. Among them, three M-QTLs, QGs3a and QGs3b for both GL and TGW, and QGs5 for GW, GT and TGW, which had strong additive effects on grain shape and grain weight, were validated in the two F₂ plant-derived F₃ populations. The three M-QTLs were found to be non-allelic to the cloned genes GS3, GL3.1, qSW5 and QGs5 by comparative mapping. However, there was only one pair of digenic epistasis involving QGs3b for TGW detected in this population. Interestingly, homozygous ‘Dali’ alleles at the QGs3a, QGs3b and QGs5 showed significant increase in the grain size and weight, suggesting these novel alleles of ‘Dali’ at the above three loci may be a very useful for marker-assisted improvement of grain quality for japonica cultivars.     

利用极端材料定位水稻粒形性状数量基因位点

利用极端大粒材料GSL156(千粒重71.9 g)与特小粒材料川七(千粒重12.1 g,轮回亲本)杂交、回交获得的BC₂F₂ 216个个体为作图群体,在北京进行稻谷粒长、粒宽、粒厚、长宽比、千粒重等粒形性状的鉴定。采用单标记分析和复合区间作图法,利用SSR标记对粒形性状进行数量性状基因座检测。结果表明,上述粒形性状在BC₂F₂群体均呈正态连续分布,表现为由多基因控制的数量性状;共检测到与粒形性状相关的QTL 28个,分布于第1、2、3、4、5、6和12染色体上。其中qGL3-2、qGL3-3、qGT12-1、qGT2-1、qGT5-1、qGW1-1、qGW12-1、qGW2-1、qGW5-1、qRLW3-1、qTGW12-1、qTGW2-1、qTGW3-3和qTGW5-1对表型变异的贡献率分别为13.70%、52.51%、21.13%、18.79%、20.92%、14.59%、18.33%、30.03%、20.05%、24.53%、13.47%、11.43%、21.30%和15.68%,为主效QTL。其中,第3染色体上检测出来的QTL最多。在所有检测到的28个QTL中,6个QTL的增效等位基因来源于小粒亲本川七,而其余QTL的增效等位基因均来源于大粒亲本GSL156,基因作用方式主要表现为加性或部分显性。第3染色体RM7580~RM8208区间是分别与粒宽、长宽比和千粒重相关的3个主效QTL的共同标记区间,第2染色体的RM7636~RM5812区间、第5染色体的RM3351~RM26区间和第12号染色体的RM1103~RM17区间是分别与粒宽、粒厚和千粒重相关的3个主效QTL的共同标记区间,这些区间对粒形贡献率较大,为进一步精细定位或克隆这些新的粒重或粒形QTL奠定了基础。同时大粒亲本对稻谷粒长、粒宽、粒厚和千粒重等性状的增效作用显著。     

不同环境基于高密度遗传图谱的稻米外观品质QTL定位

为解析稻米外观品质遗传基础, 挖掘稳定存在的控制稻米外观品质性状的QTL, 本研究以籼稻品种V20B和爪哇稻品种CPSLO17作为亲本, 构建包含150个重组自交家系(recombinantion inbred line, RIL)的RIL作图群体, 进行外观品质性状QTL定位分析。利用特定位点扩增长度测序(SLAF-seq)技术, 构建了一个由12个连锁群包含8602个标记, 平均间距为0.29 cM的高密度遗传图谱。采用IciMapping 4.0软件的ICIM-ADD方法在3种环境(贵阳、贵定、三亚)对4个外观品质性状(粒长、粒宽、垩白度和垩白粒率)进行QTL (quantitative trait locus)定位分析。结果表明: 3种环境共检测到9个粒长QTL、6个粒宽QTL、3个垩白度QTL和4个垩白粒率QTL; 有5个QTL在多个环境被重复检测到, 其中3种环境都定位到的粒宽QTL qGW5-1和垩白度QTL qCha5-1为同一定位区间(第5染色体的Marker1642127-Marker1514505); 此外, 垩白度QTL qCha5-2的定位区间(Marker1554573-Marker1554589)和垩白粒率QTL qCGP5-2也是一样的。序列比对发现QTL qCha5-1定位区间仅51.5 kb, 是新的垩白性状主效QTL。本研究结果不仅为挖掘新的外观品质性状基因奠定基础, 也有助于开发新的分子标记进行水稻外观品质性状遗传改良。     

利用4个姊妹近等基因群体定位水稻粒重和粒形QTL

粒重是决定水稻产量的三要素之一。利用世界上粒重最大的品种之一SLG-1(供体亲本)与小粒品种日本晴(Nipponbare,轮回亲本)杂交,在各回交世代选择粒重较大单株与日本晴回交,构建水稻粒重和粒形的姊妹近等基因系(SNILs)。对获得的73 株BC₄F₁单株进行粒重频率分布统计,选择粒重频率分布在4个峰值处的代表性单株,自交获得4个BC₄F₂ SNILs群体。利用BSA法(分离群体分组混合分析法),从均匀分布在水稻染色体上的1 513对SSR标记中筛选出与粒重和粒形相关的多态性标记19对,以LOD≥2.5作为选择阈值,对粒重、粒长、粒宽和粒厚进行QTL扫描,共检测到6个区域的12个QTL,贡献率从7.22%到53.38%。这些QTL所在区域包含已克隆的粒长GS3和粒宽GW2,也包含没有精细定位的第2染色体的RM6318-RM1367、第3染色体的RM5477–RM6417和第6染色体的RM3370–RM1161等3个区域控制粒重和粒形的5个QTL。其中第3染色体上RM5477–RM6417区间存在粒形贡献率较大的新的QTL。构建含有这些粒重QTL的姊妹近等基因系,为进一步精细定位或克隆新的粒重或粒形QTL奠定了基础。     

Improvement of Appearance Traits of elite Rice Zhenshan 97B by Molecular Introgression of Targeted about 800 kb Interval from Indica Rice Jiafuzhan Genome

Rice appearance trait is mainly mean grain length (GL), grain width (GW), ratio of length and width (L/W), chalkiness (CH) and transparence (TR). Appearance is the first impression, and rice appearance traits effect significantly the value of commodity. Hybrid rice is relatively low quality, especially on rice appearance quality,which restricts partially its extend and badly export of hybrid seed and rice in China.Shanyou 63, the most famous hybrid rice combination of China, could not be also sustainable application because of its poor qualities. In this studies, We attempt to improve appearance quality of the elite rice maintainer of Zhenshan 97B by using molecular approach of genomic interval targeted introgression. Three F2 populations were constructed to study the classical and molecular genetic of rice appearance traits, at the same time, molecular marker-asisted toimprove the main maintainer line, Zhenshan 97B were performed. There some following results:Three F2 populations were constructed based on crosses of Guangluai 4×Jiafuzhan (GJ popu.), Minghui 86×Jiafuzhan (MJ popu.) and Zhenshan 97B×Jiafuzhan (ZJ popu.). ZJ popu and GJ popu were produced to reconstruct the linkage maps related with rice appearance traits based on BSA, and detect QTL of target traits based on IM.In ZJ popu, 9 QTLs of target traits were detected. The interval, RM169～RM516 on Chromosome 5, was genetic locus of GW, L/W, CH and BW, and the explained variances were 10.9%, 14.9%, 12.0% and 14.2%, respectively.RM214 on chromosome 7, RM339 on chromosome 8 were genetic loci if CH and BW, and the explained variances were 9.4%, 10.0%, 11.0% and 12.1%. besides there is a genetic locus, RM347, of G/W on chromosome 3, and the explained varance was 10.3%. In GJ popu, 5 QTLs of rice appearance traits were detected. The interval, RM169-RM516 on Chromosome 5, were also the genetic loci of GW, CH and BW, and the explained variances were 9.0%, 12.5%, and 13.6%, respectively. RM264～RM80 on chromosome 8 was the genetic loci of GW amd L/W,and the explained variances were 14.7% and 13.4%. The genotypes of all QTLs, except RM214, from Jiafuzhan contributed to improving riee appearance traits.The research was to improve the rice appearance quality of Zhenshan 97B by introgressing QTLs of rice appearance traits from Jiafuzhan, a donor parent, by means of MAS in the process of recurrent backcrossing, 4 SSR markers were used to detect the target genotypes from donor parent, and 70 SSR primers to identify the genetic background of recurrent parent. Consequently, there were 19 target individuals in BC3, in which the mean value of GL, GW, L/W, CH and BW were 6.06±0.04mm, 2.50±0.02mm, 2.43±0.02, 29.5±2.7 and 29.4±2.7%, respectively,and the mean homologous degree (HD) to recurrent parent is up to 98.22%. Compared to Zhenshan 97B, GL, CH and BW decreased 0.17 mm, 34.9% and 34.5% respectively and however L/W increased 0.19. which accounted separately for 25.37%, 54.79%, 54.57% and 10.50% of thedifference of every trait between two parents. It is very luckly to find a individual, 13BC2-3BC3 line, whose GL, GW, G/W, CH and BW were 6.04 mm, 2.43 mm, 2.49,2.5% and 2.5% separately, There is very important signification for it to be used in hybrid rice breeding improving appearance traits. In the research, MAS efficiency of 3 loci (with 4 markers ) was 5.68% and coincident degree was 73.08%.     

水稻千粒重和垩白粒率的QTL及其互作分析

产量因子千粒重和稻米品质指标垩白粒率密切相关。本研究以越光/Kasalath//越光BIL群体为材料,分析千粒重和垩白粒率的相关性、QTL、上位性互作及其环境的互作效应。相关分析表明,群体千粒重和垩白粒率在2005年和2006年均呈极显著正相关,相关系数分别为0.42和0.35 (P<0.001)。2年共检测到千粒重QTL 11个,其中5个在2年重复检测到,5个具有环境互作效应;千粒重上位性互作8对,7对与环境存在互作。垩白粒率QTL 6个,3个具有环境互作效应;上位性互作9对,其中4对具有上位性环境互作效应。比较分析发现3个主效QTL同时控制千粒重和垩白粒率的表现,千粒重和垩白粒率的增效等位基因来自同一亲本;1对上位性互作同时对千粒重和垩白粒率有相同的影响。一些与垩白粒率不相关的千粒重主效QTL,如qTGW-3c、qTGW-4a和qTGW-6b,可为育种所利用。对利用QTL定位结果进行千粒重和垩白粒率分子辅助选择育种进行了探讨。     

Identification and validation of a yield-enhancing QTL cluster in rice (Oryza sativa L.)

Improvement of rice grain yield (YD) is an important goal in rice breeding. YD is determined by its related traits such as spikelet fertility (SF), 1,000-grain weight (TGW), and the number of spikelets per panicle (SPP). We previously mapped quantitative trait loci (QTLs) for SPP and TGW using the recombinant inbred lines (RILs) derived from the crosses between Minghui 63 and Teqing. In this study, four QTLs for SF and four QTLs for YD were detected in the RILs. Comparison of the locations of QTLs for these three yield-related traits identified one QTL cluster in the interval between RM3400 and RM3646 on chromosome 3. The QTL cluster contained three QTLs, SPP3a, SF3 and TGW3a, but no YD QTL was located there. To validate the QTL cluster, a BC₄F₂ population was obtained, in which SPP3a, SF3 and TGW3a were simultaneously mapped to the same region. SPP3a, SF3 and TGW3a explained 36.3, 29.5 and 59.0 % of phenotype variance with additive effect of 16.4 spikelets, 6 % SF and 1.8 g grain weight, respectively. In the BC₄F₂ population, though the region has opposite effects on TGW and SPP/SF, a YD QTL YD3 identified in this cluster region can increase 4.6 g grains per plant, which suggests this QTL cluster is a yield-enhancing QTL cluster and can be targeted to improve rice yield by marker aided selection.     

杂交粳稻亲本米质性状优异配合力的标记基因型鉴定

杂交粳稻米质整体水平不如常规粳稻也是限制杂交粳稻广泛种植的原因之一。本研究选用115个SSR引物扩增6个粳稻BT型不育系和12个恢复系的标记基因型,并分析72个F₁组合谷粒长、谷粒宽、糙米率、精米率、整精米率、垩白米率、垩白度、糊化温度、胶稠度和直链淀粉含量10个米质性状的配合力,结合亲本SSR分子标记数据和性状配合力数据筛选了10个米质性状优异配合力的标记基因型。结果共鉴定出30个SSR标记基因型与亲本10个米质性状配合力显著相关,其中25个与亲本米质性状不良配合力相关,5个与优异配合力相关。标记基因型RM263-175/180和RM444-230/240可以使F₁整精米率分别提高3.2%和2.5%。RM3-120/150可以使F₁谷粒长缩短2.4%,RM444-180/240可以使F₁谷粒宽增加2.1%。RM428-273/294可以使F₁植株上的杂交稻米直链淀粉含量减少7.0%。有8个标记基因型同时也影响产量性状配合力。RM3-120/150同时可以使F₁的每穗总粒数和每穗实粒数分别增加15.9%和10.9%。RM1211-150/160可使F₁的糙米率和精米率分别减少0.9%和1.1%,同时使F₁的每穗总粒数和每穗实粒数分别增加21.8.%和20.4%。RM23-150/160可使F₁的垩白米粒率和垩白度分别增加44.1%和45.7%,同时使F₁的单株日产量和每穗总粒数分别增加11.2%和11.6%。这些结果可用于指导亲本米质性状和产量性状配合力的分子标记辅助改良以及未来杂交粳稻组合配置中的亲本选配。     

籼-粳杂种稻米几个品质性状的遗传表达

应用莫惠栋等新近提出的p+q十2pq交配设计及其分析方法,分析了籼-粳杂种5个品质性状的遗传表达。试材的p=4, q=5。结果表明:(1)粒长、粒宽的遗传受母株基因型控制,它们在F2米粒(着生在F1植株上)间没有发生遗传分离;糊化温度和直链淀粉含量则在F2米粒间有极显著的遗传分离,故主要受胚乳基因型控制。(2)各性状的遗传变异均以     

Identification and analysis of QTLs for grain quality traits in rice using an introgression lines population

The demand for superior grain quality represents a major issue in rice (Oryza sativa L.) breeding. To study the genetic basis of rice grain quality, including traits specifying grain dimension and percentage of grains with chalkiness, quantitative genetic analysis was conducted in a population of 37 introgression lines (ILs) of indica elite variety Habataki in the background of japonica cultivar Sasanishiki across two different environments. The ILs showed transgressive segregation for all of the investigated traits, including percentage of grains with chalkiness, brown grain length, width, thickness, length/width ratio, length/thickness ratio, volume and 1,000-brown grain weight, the result indicated that these rice grain quality traits were polygenic phenomenon. Fifty-four QTLs were identified on eleven chromosomes, and 44 QTLs were associated with more than one trait, as a cause of the observed phenotypic correlations between different traits. Five stable QTLs, namely QPGWC.NH-1.1, QPGWC.NH-1.2, QGW.NH-3.1, QLW.NH-7.1 and QGV.NH-8.2, were identified in this study. This study provides useful information for marker-aided improvement of grain quality (grain dimension and percentage of grains with chalkiness) in rice; moreover, ILs carrying these QTLs constitute good candidates for future fine mapping and positional cloning projects.     

稻谷粒形与稻米主要品质性状的关系

以包括籼粳、新老不同的类型92个水稻品种为试材,研究了稻谷粒形性状与品质性状的关系。结果表明,谷粒长与谷粒宽和谷粒厚呈极显著负相关,千粒重与谷粒长、谷粒宽和谷粒厚均呈显著或极显著正相关,千粒重主要由谷粒宽和谷粒厚决定。糙米率、精米率和整精米率与谷粒长、谷粒长宽比和谷粒长厚比呈极显著负相关,与谷粒宽、谷     

水、旱栽培条件下稻谷粒型和粒重的相关分析及其QTL定位

为了解水、旱栽培条件下水稻粒形和粒重的表型及QTL变化,以陆稻品种IRAT109和水稻品种越富构建的双单倍体群体为材料,系统分析了稻谷粒长、粒宽、粒重及长宽比在水、旱栽培条件下的相关性,并进行了数量性状基因位点的比较定位。结果表明,水、旱条件下,粒长与长宽比和粒重均呈极显著正相关;粒宽与长宽比呈极显著负相关,与粒重极显著正相关,4个性状在水、旱条件间相关性都达极显著正相关。其中粒长的相关系数最高,达0.817,粒宽的相关系数最低,为0.457。表明粒长受水分影响最小而粒宽受水分影响较大。粒重、长宽比介于二者之间。两种条件下共检测到14个QTLs,分布于水稻1、5、6、7、10和12染色体上,其中控制粒长的5个,LOD值为1.93~5.11,贡献率为5.97%~28.85%;控制粒宽的1个,LOD值为2.39,贡献率为12.76%;控制长宽比的3个,LOD值为2.08~4.6,贡献率为7.78%~21.89%;控制粒重的5个,LOD值为2.68~9.45,贡献率为4.1%~14.8%。其中控制粒长的qGL-5及控制粒重的qGWt-1a和qGWt-1b在水、旱条件下均能检测到,在抗旱育种中可用于分子标记辅助选择籽粒性状。QTL分析的结果进一步验证了表型分析结果,粒宽相对易受土壤水分影响,粒长、粒重和长宽比,受水分胁迫影响较小,遗传比较稳定。     

水稻品种外观品质性状稳定性分析

基于AMMI模型,研究了18个水稻品种外观品质性状与环境的交互作用,并对参试品种的品质性状稳定性进行了分析。以6个外观品质性状表型值及相应的品种稳定性参数为指标,进行系统聚类分析,据此对供试品种外观品质性状进行了评价。结果表明,品种与环境互作效应在1%水平显著,外观品质性状的稳定性随品种而变化较大;随水稻品     

Bulked segregant analysis to detect main effect QTL associated with grain quality parameters in Basmati 370/ASD 16 cross in rice Oryza sativa L) using SSR markers

In the present study a population consisting of 247 F₂ individuals from the cross between Basmati 370, a superior quality basmati variety and ASD16, a non-basmati high-yielding variety was analyzed for their segregation pattern of grain length (GL), grain breadth (GB), cooked grain length (CGL), cooked grain breadth (CGB), and gelatinization temperature (GT). Except GT, all other traits showed normal distribution indicating the polygenic control over the traits. The correlation analysis between traits indicated that GT had positive significant association with GL (0.125), and CGL (0.243). To identify main effect QTL (MQTL) for the above grain quality traits, both the parents were surveyed with 86 primer pairs of simple sequence repeats (SSR). The parental survey revealed 63.95% polymorphism between parents. In order to detect the MQTL associated with grain quality traits, a strategy of combining the DNA pooling from selected segregants and genotyping was adopted. The number of individuals forming the bulk influenced the identification of putative marker(s) for each of the traits. The association of putative markers identified based on DNA pooling from selected segregants was established by Single Marker Analysis (SMA). The results of SMA revealed that SSR markers, RM225 on chromosome #6 and RM247 on chromosome #12 showed significant association with GB and CGB respectively. It is established that molecular marker analysis involving DNA pooling of phenotypic extremes and selective genotyping helps to detect MQTL for complex traits involving early segregating generations. The molecular marker analysis involving the DNA pooling of phenotypic extremes could be a useful strategy to detect the genetic loci with major effects of other complex grain quality traits in rice.     

Impact of grain morphology and the genotype by environment interactions on test weight of spring and winter wheat (<Emphasis Type="Italic">Triticum aestivum</Emphasis> L.)

Wheat (Triticum aestivum L.) market grades and prices are determined in part by test weight (TW). Millers value high TW because it is typically associated with higher flour extraction rates and better end-use quality. Test weight is expected to be influenced by other directly quantifiable grain attributes such as grain length (GL), grain width (GW), shape, single-grain-density (SGD), thousand-grain-weight (TGW), and packing efficiency (PE). The objectives of this study were to: (1) determine the primary morphological grain attributes that comprise TW measurements for winter and spring wheat classes; and (2) determine TW stability and genotype and genotype × environment interactions (GEIs) of the attributes that comprise TW. A market class representative group of 32 hard spring and 24 hard winter wheat cultivars was grown at several locations in South Dakota in 2011 and 2012. A regularized multiple regression algorithm was used to develop a TW model and determine what grain attribute reliably predicts TW. A GGE biplot was used for stability and GEI analyses whereas a linear mixed model was used for variance analyses. Data were collected on eight grain traits: TW, SGD, TGW, protein concentration, GW, GL, shape, size, and PE. Observations showed that in both spring and winter wheat, SGD accounted for over 90% of the phenotypic variation of TW. Cultivars with stable and high TW were identified in both wheat classes. Apart from TW; significant (p?<?0.0001) genotype, environment, and GEI variances were observed for GW and SGD, a more direct measure of which could help improve genetic gain for TW.     

水稻粒型和粒重的QTL定位分析

利用以两个籼稻品种H359和Acc8558为亲本杂交建立的重组自交系群体及相应的分子标记连锁图，对水稻粒长、粒宽和粒重进行了QTL定位分析。检测到15个与粒长有关的QTL、17个与粒宽有关的QTL及16个与粒重有关的QTL，它们可分别解释75．91％、76．20％和81．40％的表型变异。其中在5号染色体上检测到1个控制粒宽的主效QTL，可解释26．65％的表型变异。粒长和粒宽之间虽然相关显著，但相关系数很小(r=0．180)。而QTL分析结果也显示，两者的QTL位置很少相同。这说明粒长和粒宽有不同的遗传基础。粒长和粒宽与粒重的相关系数分别为0．781和0．461，直接通径系数分别为0．7220和0．3299。QTL定位结果也显示，粒长与粒重的QTL位置相近或重叠的较多。因此，粒长对粒重的贡献较大。     

Associations between 23 Quantitative Traits and 10 Genetic Markers in a Barley Cross

Associations of 23 quantitative traits and 10 genetic marker characters were examined in 63 chromosome-doubled lines (DH-lines) derived from the F₁- generation of a cross between an old and a modern spring barley variety. One fourth of the marker × trait combinations showed significant associations. More than two thirds of these associations were to earliness (heading date). Earliness was found to be controlled by two loci: the previously known eak locus and a new locus designated Ea. It is concluded that the associations of quantitative traits with the earliness loci were caused by pleiotropy. Associations were found between two absolutely linked C-bands on chromosome 3 and QTLs (quantitative trait loci) for lodging, straw diameter, and length of top internode of the straw. The three loci on chromosome 5, eak and the two linked powdery mildew loci, Mla9 and Mlk, were associated with a possible QTL for magnesium concentration in grain. Association to the C-band on chromosome 6 suggests QTLs for TGW (thousand grain weight), straw diameter and magnesium concentration in grain. Locus Estl on chromosome 3 was not associated with any of the quantitative traits.     

Mapping quantitative trait loci (QTL) for grain size in rice using a RIL population from Basmati × indica cross showing high segregation distortion

Grain size is one of the three productivity related traits in rice and hence a major target for genetic improvement. Since understanding genetic variation in grain size between Basmati and indica genotypes is important for rice improvement, a recombinant inbred population was developed from a traditional aromatic cultivar ‘Basmati 370’ and a non-aromatic indica genotype ‘IRBB60’. This population was phenotyped in two locations for grain length (GL), grain breadth (GB), GL/GB ratio (LBR) and grain weight (GW). Though the RIL population reported in the current study exhibited segregation distortion (SD) for 54 % of the markers, they were utilized in analysis using an appropriate statistical package, PROC QTL in the SAS environment. Interval mapping revealed a total of 15 QTLs for GL, seven for GB, 15 for LBR and two for GW. Among them 13 were not reported earlier and thus novel. For a known major QTL identified in the study, GW8 for GB, a PCR based functional marker was designed and validated. This is the first report wherein a very high proportion of markers (>50 %) exhibiting SD have been successfully used for QTL mapping.