共查询到20条相似文献，搜索用时 93 毫秒
1.
选取我国当前生产上大面积推广应用的籼稻恢复系明恢86和蜀恢527作为轮回亲本,以籼稻品种爷驼崽为供体亲本构建了2个BC2F4群体,在河北廊坊田间正常土壤正常施肥(对照)、贫瘠土壤正常施肥和贫瘠土壤低磷胁迫这三种处理下进行产量及相关性状的表型评价。同时,在北京温室采用水培法进行苗期耐低磷鉴定。在廊坊检测到49个产量及相关性状主效QTL,这些QTL对表型变异的贡献率为6.7%~16.5%;其中有25个(51.0%)QTL的有利等位基因来自供体亲本爷驼崽。在北京检测到影响耐低磷相关性状(根长、根系干质量、根冠比、地上部分干质量和总干质量)的主效QTL 48个,这些QTL对表型变异的贡献率为7.7%~16.6%;其中有21个(43.8%)QTL的有利等位基因来自供体亲本爷驼崽。多达79.6%的QTL能在廊坊环境两个或两个以上处理下被检测到,特别是与每穗总粒数、结实率和千粒重有关的QTL,不仅能稳定的表达,并且它们在不同处理下具有比较一致的效应。在检测到的所有QTL中,有8个染色体区段在两种环境的低磷胁迫条件下被同时检测到,其中与第12染色体RM511(Bin12.4)紧密连锁的位点,同时控制每穗实粒数、每穗总粒数、根长、根系干质量、地上部分干质量和总干质量等6个性状。 相似文献
2.
为发掘与小麦穗部性状相关的QTL,利用普通小麦BS366与白玉149杂交组合培育的73个DH群体为材料,构建了一套包含232个杂交组合的小麦永久F_2群体,基于90K SNP芯片标记构建了高密度遗传图谱,并利用该图谱对2个环境下的穗长、小穗数、穗粒数和千粒重进行QTL定位。结果发现,所构建的图谱总长19 533 cM,含有8 726个SNP标记,平均标记距离为2.24cM。结合群体基因分型结果,8 726个SNP标记合并为3 078个BIN标记,其中A基因组有1 283个(41.7%),B基因组有1 188个(38.6%),D基因组仅有607个(19.7%);共检测到96个QTL,分布在除3B和6B以外的19条染色体上,其中,控制穗长、小穗数、穗粒数和千粒重的QTL分别有20、59、6和11个,单一QTL可解释0.15%～12.34%的表型变异。51个QTL加性效应为正值,表明其加性效应来自于母本BS366;45个QTL加性效应为负值,表明其加性效应来自于父本白玉149。23个QTL的表型变异解释率大于5%,为主效QTL。 相似文献
3.
基于昌7-2导入系发掘干旱胁迫下玉米产量相关QTL位点 总被引：1，自引：0，他引：1
以昌7-2为轮回亲本,自交系郑独青为供体亲本,采用回交和定向选择的方法构建高代导入系群体。通过玉米56K芯片对极端株系进行基因分型,以IciMapping逐步回归分析法进行穗重、穗粒重以及百粒重等QTL定位。结果表明,共获得分布于玉米第1、3、5、9、10共5条染色体上的10个QTL位点。其中,与穗重、穗粒重相关的各4个,与百粒重相关的2个。第1、5、10染色体上存在同时控制穗重和穗粒重的相同位点,加性效应均来源于郑独青,贡献率均在22%以上。此外,第10染色体相同位点还同时控制1个微效加性的百粒重QTL。在QTL定位的基础上,获得了多位点聚合的导入系,同时携带第1、5、10染色体上3个QTL位点的导入系,其产量性状表现优于轮回亲本昌7-2。 相似文献
4.
小麦穗部性状特别是穗顶部、基部结实性对穗粒数的建成及产量具有重要影响。为给QTL精细定位、基因克隆及穗部性状分子标记的开发和辅助选择奠定基础,本研究以扬麦17与宁麦18杂交获得的310个F2群体及其衍生的F2:3家系为材料,构建了一个由215个SSR标记组成的全长为1 717 cM的遗传连锁图谱,共覆盖19条染色体（1D和6A未涉及）,标记间平均距离为7.99 cM,并对6个穗部性状进行QTL定位。利用复合区间作图法共检测出22个QTL,分布在1A、1B、2B、2D、3B、3D、4B、5A、5B和7A染色体上。其中,穗顶部结实粒数QTL有7个,穗基部结实粒数QTL有2个,穗长QTL有5个,总小穗数QTL有3个,不育小穗数QTL有2个,穗粒数QTL有3个,表型贡献率为2.56%～13.66%。控制穗顶部和基部结实粒数QTL的增效基因来源于宁麦18,表明该品种可作为具有高产潜力的小麦育种材料加以利用。 相似文献
5.
《Field Crops Research》2005,91(2-3):161-170
Seedling-vigor is important for optimum stand establishment and increasing weed competitive ability in rice cropping systems. In the current study, three seedling-vigor-related traits, seed germination rate, seedling shoot length and dry matter weight, were investigated by the paper-roll tests with rice recombinant inbred lines derived from a cross between Lemont (japonica) and Teqing (indica). The phenotype data, together with a linkage map consisting of 198 marker loci, was used to conduct composite interval mapping by QTLMapper 1.0 to simultaneously map both main-effect and epistatic QTLs for seedling-vigor in rice. Totally, 13 putative main-effect QTLs and 19 pairs of epistatic loci with R2 ≥ 5% were identified. Almost all of these QTLs or interactions individually explained only around 5–10% of the phenotypic variation. The majority (68%) of these main-effect and epistatic loci were clustered in seven chromosome regions, each spanning 12–28 cM (centi-Morgan) and containing three or more detectable loci. When detectable for the multiple seedling-vigor-related traits, either the main-effect QTLs or the epistatic interactions sharing the same map location had their additive or epistatic effects in the same direction, which agreed well with the positive correlations among the traits. The results demonstrated that seedling-vigor in rice could be controlled by many loci, most of which had small effects, but, relatively, epistasis as a genetic factor was much more important than main-effects of QTLs. Along with the results reported previously, this study revealed the extensive genetic diversity for seedling-vigor in rice. In addition, the QTL qSV-7 on chromosome 7 was found to have the largest main-effects on multiple seedling-vigor-related traits and therefore could be used as a potential target to be genetically manipulated by marker-assisted selection in rice seedling-vigor breeding programs. 相似文献
6.
为了给小麦重要农艺性状的QTL精细定位及克隆奠定基础,对14个从Am3/莱州953(轮回亲本)BC4F4代选出的性状表现与莱州953有明显差异的导入系的8个农艺性状进行了分析,结果表明,每个导入系有2～7个性状与莱州953差异显著,在每一个性状上都有对农艺性状具有正向效应的位点.利用143对在亲本之间具有多态性的SSR标记对导入系含有的供体片段进行了检测,其中54对引物在14个导入系中检测到了供体片段,每一个导入系中检测到3～15个纯合供体片段及0～4个杂合片段,占受体基因组的1.7%～14.2%,平均为7.48%.利用其中10个导入系与轮回亲本莱州953杂交的F2群体进行了单片段代换系的选择,从10个导入系的F2中检测到40个供体片段,并从F2群体中选出了22个单片段代换系.这些导入系及其单片段代换系可用于有益的QTL的发掘、QTL精细定位与作图等研究. 相似文献
7.
以籼稻保持系珍汕97B和粳稻保持系辽91B为亲本,构建了一个包含176个单株的F2群体及123个SSR标记的遗传图谱,在3种环境下联合检测控制花粉育性和小穗育性的QTL。共检测到3个控制花粉育性的主效应（加性效应和显性效应）QTL（qPF3、qPF5和qPF6）和4个控制小穗育性的主效应QTL（qSF3、qSF5、qSF6和qSF8）,其中qPF5与qSF5、qPF6与qSF6均为同一个QTL,为重要的育性QTL。另外,检测到3对花粉育性和4对小穗育性QTL间互作,说明上位性效应对籼粳杂交后代的育性具有重要作用。 相似文献
8.
9.
为了发掘新的穗部性状和株高QTL,利用扬麦17与扬麦18杂交后代206个单株组成的F2群体,构建了一个由141个SSR标记组成的全长1005.1cM的遗传图谱。该图谱包括26个连锁群,覆盖15条染色体,标记间平均距离为7.03cM。结合F2和F2:3群体的表型数据,对穗部性状和株高进行QTL分析,利用复合区间作图法检测出15个QTL,分布在2B、2D、4B、5A、5B和7A染色体上,其中4个QTL能够同时在两个世代被检测到,表型变异解释率为1.93%~20.78%,穗长QTLQSl-YY-2D、QSl-YY-5A和株高QTLQPh-YY-4B的贡献率超过10%。根据6VS特异性标记鉴定和表型调查结果,推测扬麦18的6VS上携带有增加穗长和穗粒数的基因,且为部分显性。2B染色体上总小穗数和5B染色体上穗粒数、穗基部结实粒数的QTL增效等位基因及2D、4B染色体上降低株高的QTL增效等位基因均来自扬麦18,表明该品种可作为具有高产潜力的小麦育种材料加以利用。 相似文献
10.
水稻粒重及其相关性状的遗传解析 总被引：47，自引：3，他引：47
应用292个 Lemont/ 特青F13重组自交系(RILs)和272个标记的遗传连锁图谱分析粒重及籽粒长、宽、厚、长/宽、体积和容重6个相关性状的遗传。所有性状在RILs中出现超亲分离。粒重与其他籽粒性状均呈显著正相关，而涉及籽粒品质的容重与粒宽、粒厚呈显著负相关。检测到影响粒重及其相关性状的主效QTL 48个和互作位点38对，这些QTL解释了各性状55%以上的表型变异。80%以上的主效QTL呈现一因多效或生理相关。QGl3和 QGl2等通过籽粒体积间接影响粒重， Lemont增效等位基因有利于籽粒品质的改良，而QGw5、QGt1和QGv7的特青增效等位基因增加粒重同时降低籽粒容重及品质。通过标记辅助选择进行不同QTL的重组，有望在增加粒重的同时改善籽粒品质。 相似文献
11.
多环境下粳稻产量及其相关性状的条件和非条件QTL定位 总被引：1，自引：0，他引：1
为了剖析粳稻产量及其相关性状的遗传基础,利用粳稻品种秀水79×Ｃ堡衍生的重组自交系群体,在3个环境下对全生育期、株高、单株穗数、每穗粒数、百粒重、籽粒产量和生物产量进行了非条件和条件QTL定位。共检测到43个主效QTL和29对上位性QTL。利用非条件QTL定位方法检测到37个主效QTL和26对上位性QTL。其中,籽粒产量定位到3个主效QTL qGY1.2、qGY7.1和qGY9,未检测到上位性QTL。利用条件QTL方法分别将全生育期、株高、穗数、每穗粒数、百粒重和生物产量各自调整到同一水平后,籽粒产量共检测到9个主效条件QTL和3对上位性QTL,其中3个主效QTL与非条件下定位到的相同。位于第9染色体长臂区间RM6570-RM5652的qGY9在非条件及全生育期、株高、穗数、粒数和百粒重调整到同一水平后均可检测到,但加性效应、贡献率并不相同,显示该区间来自C堡的片段能够增加株高、穗数和百粒重从而增加产量。通过条件方法在第3染色体长臂区间RM7097-RM448及第6染色体长臂区间RM162-RM5753上定位到的产量QTL增加籽粒产量的等位基因可以降低株高,缩短生育期。 相似文献
12.
SUN Shi-yong HAO Wei LIN Hong-xuan 《水稻科学》2006,13(3):161-169
Rice is one of the major crops served as the staple food of more than 50% of the world’s population. Recently, more attention has been paid to rice quality, especially the cooking and eating quality than achieving the higher yield. The amylose content (AC), gelatinization temperature (GT) and gel consistency (GC) are the three major rice characteristics directly related to cooking and eating quality, responsible for the physical and chemical characteristics of the starch in the endosperm [1… 相似文献
13.
粳稻垩白性状的QTL检测 总被引：1，自引：0，他引：1
利用大粒粳稻DL115与小粒粳稻XL005杂交获得的F2群体200个单株为作图群体,采用复合区间作图方法,利用SSR标记对稻米垩白性状进行了数量性状基因座(QTL)检测。研究结果表明,稻米垩白粒率、垩白大小和垩白度在F3株系均呈连续分布,表现为由多基因控制的数量性状。检测到与稻米垩白性状相关的QTL 8个,分别位于第3（5个）、第5（2个）和第6（1个）染色体上,包括与垩白粒率有关的QTL 3个,与垩白大小相关的QTL 2个,与垩白度有关的QTL 3个。其中位于第3染色体RM6832-RM411、RM15456-RM6832和RM6266-RM15456区间的qPGWC3、qACE3b和qDEC3b,分别解释垩白粒率、垩白大小和垩白度表型变异的43.89%、18.83%和19.57%,为主效QTL。上述3个主效QTL所在染色体上的位置与前人研究结果均不一致,认为是新的QTL。所检测到的8个QTL中,除qPGWC6的增效等位基因来自无垩白亲本XL005外,其他7个QTL的增效等位基因均来自垩白性状值较大的亲本DL115。垩白粒率和垩白大小基因作用表现为部分显性,垩白度基因作用表现为加性。 相似文献
14.
Introgression lines (ILs) derived from interspecific crosses are a source of new genetic variability. A total of 55 ILs derived from two crosses Swarna × O. nivara IRGC81848 (population A) and Swarna × O. nivara IRGC81832 (population B) were characterized for yield and yield-related traits/QTLs. Segregation of 103 simple sequence repeat (SSR) markers associated with yield-related QTLs was studied. Population A showed an average of 12.6% homozygous O. nivara alleles and population B showed 10.6%. Interestingly, three SSR markers, RM223, RM128 and RM517, showed conspicuous pattern of segregation. The distribution of parental alleles at three loci RM223, RM128 and RM517 linked to yield-related traits was unique. These markers flanked to several yield-related QTLs. RM223, flanking to qyld8.3, was heterozygous in almost all the 55 ILs except in IL10-3S and IL131S. RM128 on chromosome 1 and RM517 on chromosome 3 were mutually exclusive in 46 out of 55 ILs. These 46 ILs showed either of the marker allele RM128 or RM517 from O. nivara but not both. IL166S had both RM128 and RM517 from O. nivara and the other ILs showed homozygous Swarna allele at RM517 except IL65S. Population structure assigned the 55 ILs to three sub-populations based on their genomic diversity. IL65S, IL166S, IL248S, IL7K and IL250K showed high yields in multi-location trials, and IL248S was released for cultivation as DRRDhan 40. 相似文献
15.
Ramya Prashant Narendra Kadoo Charushila Desale Prajakta Kore Harcharan Singh Dhaliwal Parveen Chhuneja Vidya Gupta 《Journal of Cereal Science》2012
Wheat kernel size and shape influence its flour yield and market price. A hexaploid wheat population of 185 recombinant inbred lines was evaluated for five kernel morphometric traits namely, 1000-kernel weight, kernel length, width, length–width ratio and factor form density in two diverse agro-climatic regions in India in five to eight year–location combinations. Additive main effects and multiplicative interaction analysis revealed significant contributions from genotype (G) and genotype × environment (G × E) effects for these traits. Quantitative trait locus (QTL) analysis by composite interval mapping (CIM) was performed using a linkage map of 251 SSR markers and 59 QTLs distributed on 16 chromosomes were identified. The majority of the QTLs were located on the D genome (44.07%) and the homeologous chromosomes of Group 2 (38.98%). Stable QTLs detected in three or more year–location combinations were identified for four traits. Multi-trait CIM showed 10 chromosomal regions harboring putative pleiotropic loci. Complexity in the genetic effects was further revealed by QTL analysis based on mixed-linear model that indicated 19 QTLs with significant individual effects (main-effect QTLs) and 14 QTL × QTL interactions. Five of these nineteen main-effect QTLs and one of the fourteen QTL × QTL interactions showed environmental influence. 相似文献
16.
Identification of genetic factors controlling traits associated with seed germination under drought stress conditions, leads to identification and development of drought tolerant varieties. Present study by using a population of F2：, derived from a cross between a drought tolerant variety, Gharib （indica） and a drought sensitive variety, Sepidroud （indica）, is to identify and compare QTLs associated with germination traits under drought stress and non-stress conditions. Through QTL analysis, using composite interval mapping, regarding traits such as germination rate （GR）, germination percentage （GP）, radicle length （RL）, plumule length （PL）, coleorhiza length （COL） and coleoptile length （CL）, totally 13 QTLs were detected under pole drought stress （-8 MPa poly ethylene glycol 6000） and 9 QTLs under non-stress conditions. Of the QTLs identified under non-stress conditions, QTLs associated with COL （qCOL-5） and GR （qGR-1） explained 21.28% and 19.73% of the total phenotypic variations, respectively Under drought stress conditions, QTLs associated with COL （qCOL-3） and PL （qPL-5） explained 18.34% and 18.22% of the total phenotypic variations, respectively. A few drought-tolerance-related QTLs identified in previous studies are near the QTLs detected in this study, and several QTLs in this study are novel alleles. The major QTLs like qGR-1, qGP-4, qRL-12 and qCL-4 identified in both conditions for traits GR, GP, RL and CL, respectively, should be considered as the important and stable trait-controlling QTLs in rice seed germination. Those major or minor QTLs could be used to significantly improve drought tolerance by marker-assisted selection in rice. 相似文献
17.
Cornelius Mbathi Wainaina Daigo Makihara Mitsuru Nakamura Akihiro Ikeda Taro Suzuki Yuko Mizukami 《Plant Production Science》2018,21(2):132-143
In Africa, cold temperatures occur in the highlands of East and Southern Africa and in some areas of the Sahel region of West Africa leading to substantial rice yield losses. Cold tolerance (CT) at booting stage on basis of spikelet fertility after cold water irrigation was evaluated using F2 population derived from a cross between temperate japonica, Hananomai, and tropical japonica, WAB56-104. Two Quantitative trait loci (QTLs) for CT were detected on chromosome 8 and 10 with enhanced effects on the trait coming from Hananomai and WAB56-104 allele, respectively. The QTLs explained 30% and 33% of phenotypic variation in spikelet fertility, respectively. CT was negatively correlated with panicle number (r = ?0.35, p < 0.01) and positively correlated with panicle weight (r = 0.61, p < 0.001). Selected BC1F4 and BC1F5 genotypes having homozygous alleles for both CT QTLs exhibited higher spikelet fertility under cold stress. The identified QTLs will be useful in the development of cold-tolerant varieties for production in high altitude areas through marker-assisted selection. 相似文献
18.
为了发掘更多控制小麦旗叶大小及穗部相关性状的QTL,以兰考906和小偃81创制的133个F6~F7重组自交系为试验材料,在6个环境下利用SSR标记对旗叶大小及穗部相关性状进行QTL定位。结果表明,有202对SSR标记被用于构建遗传连锁图谱,图谱覆盖小麦21条染色体,全长1 678.93cM,标记间平均距离8.30cM。采用完备区间作图法共检测到30个QTL,分布在1B、2A、3D、4A、4B、4D、5D、6A、6B、6D和7D染色体上。其中,旗叶宽QTL有7个,穗长QTL有9个,小穗数QTL有5个,穗粒数QTL有5个,小穗着生密度QTL有4个,不同环境下单个QTL可解释的表型变异率为4.94%~23.14%,有14个QTL的表型贡献率大于10%,有8个QTL可在2个或2个以上环境中被检测到。其中,Qflw-4A在3个环境中被检测到,贡献率为10.13%~20.77%,是控制旗叶宽的稳定主效QTL;Qsl-4D.2在4个环境中被检测到,贡献率为12.58%~23.14%,是控制穗长的稳定主效QTL;Qker-5D在2个环境中被检测到,贡献率为11.44%~14.32%,是控制穗粒数的稳定主效QTL。这3个稳定主效QTL可作为改良叶宽和增加穗粒数的功能QTL作进一步研究。 相似文献
19.
荚果相关性状是花生产量构成的重要成分。为解析花生产量及产量相关性状的遗传基础，挖掘稳定存在的QTL，以荚果大小和重量存在显著差异的中花5号和ICGV 86699为亲本衍生的包含166个重组自交系群体为材料，对3个荚果相关性状中荚果长、荚果宽在5个环境，百果重在6个环境下进行性状考察，并结合群体的基因分型数据进行QTL定位分析。共检测到9个荚果长QTL、10个荚果宽QTL和12个百果重QTL。有10个QTL在多个环境被重复检测到，其中6个QTL在不同地点重复检测到，为稳定表达QTL，且稳定表达的QTL中5个（qPLB06.2、 qPLB06.3、qPWB06.2、qHPWB04.3、qHPWB06.3）在至少1个环境中贡献率超过10%。共发现5个QTL簇，其中位于 B06上的QTL簇Ⅳ和Ⅴ，均在多个环境下检测到稳定调控荚果长、荚果宽和百果重的QTL共定位，表明这些荚果相关性状具有明显的遗传相关性。 相似文献
20.
Nie Yuanyuan Xia Hui Ma Xiaosong Lou Qiaojun Liu Yi Zhang Anling Cheng Liang Yan Longan Luo Lijun 《水稻科学》2022,29(3):277-287
Deep rooting is an important trait in rice drought resistance. Genetic resources of deep-rooting varieties are valuable in breeding of water-saving and drought-resistant rice. In the present study, 234 BC2F7 backcross introgression lines were derived from a cross of Dongye 80 (an accession of Dongxiang wild rice as the donor parent) and R974 (an indica restorer line as the recurrent parent). A genetic linkage map containing 1 977 bin markers was constructed by ddRADSeq for QTL analysis. Thirty-one QTLs for four root traits (the number of deep roots, the number of shallow roots, the total number of deep roots and the ratio of deep roots) were assessed on six rice chromosomes in two environments (2020 Shanghai and 2021 Hainan). Two of the QTLs, qDR5.1 and qTR5.2, were located on chromosome 5 in a 70-kb interval. They were detected in both environments. qDR5.1 explained 13.35% of the phenotypic variance in 2020 Shanghai and 12.01% of the phenotypic variance in 2021 Hainan. qTR5.2 accounted for 10.88% and 10.93% of the phenotypic variance, respectively. One QTL (qRDR2.2) for the ratio of deep roots was detected on chromosome 2 in a 210-kb interval and accounted for 6.72% of the phenotypic variance in 2020. The positive effects of these three QTLs were all from Dongxiang wild rice. Furthermore, nine and four putative candidate genes were identified in qRDR2.2 and qDR5.1/qTR5.2, respectively. These findings added to our knowledge of the genetic control of root traits in rice. In addition, this study will facilitate the future isolation of candidate genes of the deep-rooting trait and the utilization of Dongxiang wild rice in the improvement of rice drought resistance. 相似文献