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1.
本文报道了水稻第1染色体长臂上微效千粒重QTL qTGW1.2的验证和分解。针对前期qTGW1.2定位结果, 应用SSR标记检测, 从籼籼交组合珍汕973/密阳46衍生的1个BC2F7分离群体中, 筛选到杂合区间分别为RM11621-RM297和RM212-RM265的2个单株, 构建了两套BC2F8:9近等基因系, 将qTGW1.2进一步界定在RM212-RM265及其两侧交换区间的区域内。在此基础上, 筛选出5个在目标区间内分离片段缩小且呈阶梯状排列的单株, 衍生了5套BC2F10分离群体, 应用Windows QTL Cartographer 2.5进行QTL分析。结果表明, 每套群体均检测到千粒重QTL, 加性效应为0.13~0.38 g, 来自密阳46的等位基因提高千粒重; 经比较各个群体的分离区间, 将qTGW1.2分解为互引连锁的2个QTL, 其中, qTGW1.2a位于RM11730和RM11762之间934 kb的区域内, 呈加性作用, qTGW1.2b位于RM11800和RM11885之间2.1 Mb的区域内, 呈正向超显性。  相似文献   

2.
水稻芽期与幼苗前期耐碱性状QTL定位   总被引：9，自引：0，他引：9  
利用包含120个株系的籼粳交来源(春江06/TN1)的加倍单倍体群体, 在Na2CO3胁迫下, 以发芽期和幼苗前期的相对发芽势等10个性状作为耐碱性评价指标, 进行水稻耐碱性的QTL定位。相关性分析表明, 相对发芽势和相对发芽率显著正相关, 相对苗高、相对根数和相对根长之间显著正相关。采用QTLNetwork统计软件共定位到14个加性QTL和13个上位性QTL。在第3染色体RM251~RM3280间有2个QTL, 在第7染色体RM3286~RM1279区域有3个QTL; 在第1、2和7染色体同一位置同时检测到2个上位性QTL, 在第12染色体RM1246~RM5199之间集中了4个上位性QTL, 耐碱数量基因表现出一因多效或紧密连锁现象。耐碱性盐QTL可能包括两类, 一类与K+、Na+等离子胁迫有关, 另一类与高pH胁迫有关。不同类型的水稻品种都具有一些耐碱基因, 可以通过有性杂交和分子标记辅助选择的方法选育优良的耐碱品种。  相似文献   

3.
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.  相似文献   

4.
An advanced backcross line, HR9118, was produced from a single plant of BC2F3 families derived from a cross between Oryza rufipogon Griff. (IRGC 105491) as a donor parent and the O. sativa subsp. japonica cv. Hwaseongbyeo as a recurrent parent. Although HR9118 resembled Hwaseongbyeo, several traits were different from those of Hwasoengbyeo, including days to heading, plant height, and awn. These differences between Hwasongbyeo and HR9118 could be attributed to introgressed O. rufipogon chromosome segments into HR9118. Introgression analysis using 460 SSR markers revealed that three O. rufipogon-specific chromosome segments were detected in HR9118 genome. F2:3 populations derived from the cross between Hwaseongbyo and HR9118, consisting of 340 F2 plants and 137 F3 lines, were used to map and characterize QTLs for 12 traits. QTL analysis identified a total of 17 QTLs in the F2:3 populations. Of these, seven QTLs were shared by the F2 and F3 populations, whereas the other ten QTLs were identified only in the F3 population. In seven (41.2%) QTLs identified in this study, the O. rufipogon-derived alleles contributed desirable agronomic effects despite the overall undesirable characteristics of the wild phenotype. Each of three O. rufipogon introgressed segments contained multiple QTLs, indicating linkage and/or pleotropic effects. A cluster of eight QTLs was detected on chromosome 8 including a major QTL for awn. Substitution mapping using F2 population indicated that awn8 was located within an interval between two SSR makers RM23326 and RM23356 which are 590 kb apart. SSR markers tightly linked to QTLs for yield components detected in this study will facilitate cloning of the gene underlying this QTL as well as marker-assisted selection for variation in grain weight in an applied breeding program.  相似文献   

5.
Fat content is a concern for the enhancement of rice for eating, cooking, and storage qualities. To clarify its genetic mechanism, a double haploid (DH) population derived from anther hybrid F1 of Zhenshan 97B (indica) and Wuyujing 2 (japonica) and two backcross F1 (BCF1) populations, which came from the DH lines backcrossing to two parents, were used to scan quantitative trait loci (QTLs) and dissect gene effects for the crude fat content (CFC) in brown rice. Fourteen QTLs were resolved, distributing on chromosomes 1, 3, and 5–9. Three loci were detected repeatedly in two populations, DH or BCF1. Among these loci, a major QTL, qCFC5, flanking markers RM87 and RM334, was located on chromosome 5, which was detected simultaneously among three populations. The main QTLs had a major role in controlling CFC in brown rice and were modified by several mini-effect QTLs and epistatic affection. Wenjun Liu and Jing Zeng are contributed equally to this paper.  相似文献   

6.
Heading date is one of the most important traits in rice and regulated by multiple genes. Common wild rice is the ancestor of Asian cultivated rice and harbours abundant genetic diversity. To use wild rice resource in rice breeding, a set of 154 introgression lines (ILs) covering 93% of the genome of Jinghong common wild rice was constructed in the background 'Teqing', using 208 simple sequence repeat markers evenly distributed on 12 chromosomes. Among the ILs, the line JIL64 displayed late heading independent of photoperiod. Genetic analysis using the two F2 populations crossed ''Teqing'/JIL64 and JIL64/'Teqing' revealed that late flowering was controlled by a recessive gene on chromosome 8 (designated early heading date 8, ehd8), and ehd8 was fine mapped to the 50‐kb region flanked by markers RM22221 and 64Indel4. Sequencing and qRT‐PCR demonstrated that LOC_Os08g01410 and LOC_Os08g01420 were deleted in JIL64 and may be associated with the late heading of Jinghong common wild rice. These findings lay a practical foundation for characterizing ehd8, and the ILs help to mine genes from Jinghong common wild rice.  相似文献   

7.
We constructed a high‐resolution physical map for the qSPP7 QTL for spikelets per panicle (SPP) on rice chromosome 7 across a 28.6‐kb region containing four predicted genes. Using a series of BC7F4 near‐isogenic lines (NILs) derived from a cross between the Korean japonica cultivar ‘Hwaseongbyeo’ and Oryza minuta (IRGC Acc. No. 101144), three QTLs for the number of SPP, grains per panicle and primary branches were identified in the cluster (P ≤ 0.01). All three QTLs were additive, and alleles from the O. minuta parent were beneficial in the ‘Hwaseongbyeo’ background. qSPP7 was mapped to a 28.6‐kb region between the two simple sequence repeat (SSR) markers RM4952 and RM21605. The additive effect of the O. minuta allele at qSPP7 was 23 SPP, and 43.6% of the phenotypic variance was explained by the segregation of the SSR marker RM4952. Colocalization of the three QTLs suggested that this locus was associated with panicle structure and had pleiotropic effects. The NIL populations and molecular markers are useful for cloning qspp7.  相似文献   

8.
The indica variety Dular has a high level of resistance to rice stripe virus (RSV). We performed quantitative trait locus (QTL) analysis for RSV resistance using 226 F2 clonal lines at the seedling stage derived from a cross between the susceptible japonica variety Balilla and the resistant indica variety Dular with two evaluation criteria, infection rate (IR) and disease rating index (DRI). The experiments were performed in both 2004 and 2005. Based on IR, three putative QTLs were detected and had consistent locations in the 2 years, one QTL was detected in the RM7324–RM3586 interval on chromosome 3. The other two QTLs were linked and located in the RM287–RM209 and RM209–RM21 intervals on the long arm of chromosome 11, and accounted for 87.8–57.8% of the total phenotypic variation in both years. Based on DRI, three putative QTLs were also detected and had consistent locations in both years. One of them was located in the RM1124–SSR20 interval on the short arm of chromosome 11, while the other two linked QTLs had the same chromosomal locations on chromosome 11 as those detected by IR, and accounted for 55.7–42.9% of total phenotypic variation in both years. In comparison to the mapping results from previous studies, one of the two linked QTLs had a chromosomal location that was similar to Stv-b i , an important RSV resistance gene, while the other appeared to be a newly reported one.  相似文献   

9.
碱胁迫下粳稻幼苗前期耐碱性的数量性状基因座检测   总被引：7，自引：0，他引：7  
以粳粳交“高产106/长白9号”F2:3代200个家系为作图群体, 在0.15% Na2CO3溶液的碱性胁迫下, 进行了水稻耐碱性鉴定, 并以SSR标记构建的分子连锁图谱为基础, 对水稻幼苗前期的根数、根长和苗高及其相对碱害率进行了数量性状基因座(QTLs)的检测。结果表明, 上述性状在F3家系群中均表现为具有1~2个峰的连续分布, 认为由主效基因和微效基因共同控制的数量性状。共检测到与碱胁迫下幼苗前期根数、根长和苗高及其相对碱害率相关的QTL 26个, 分布于第1、5、6、7、8、9和11染色体上。其中, 碱胁迫下与根数相关的QTL 4个, qRN6-1和qRN11对表型变异的解释率较大, 分别为29.91%和13.42%;与根数相对碱害率相关的QTL 5个, qRRN11-2对表型变异的解释率较大, 为23.86%;与根长相关的QTL 6个, qRRL11-2对表型变异的解释率较大, 为21.06%;与根长相对碱害率相关的QTL 2个, 但对表型变异的解释率均较低;与苗高相关的QTL 5个, qSH1和qSH11-2对表型变异的解释率较大, 分别为15.81%和16.53%;与苗高相对碱害率相关的QTL 4个, qRSH5和qRSH6-2对表型变异的解释率分别为29.89%和34.63%。而这些解释率较大的QTL所处的标记区间距离, 除qRN6-1相对较小(19.0 cM)外, 其余QTL的标记区间距离均大于26.3 cM, 需作进一步的精细定位。在所检测到的QTL中, 13个QTL的增效等位基因均来自耐碱亲本长白9号, 而其余QTL的增效等位基因来自敏碱亲本高产106;基因的主要作用方式为超显性或部分显性。  相似文献   

10.
Plant height (PHT), stem and leaf fresh weight (SLFW), juice weight (JW) and sugar content of stem (Brix) are important traits for biofuel production in sweet Sorghum. QTL analysis of PHT, SLFW, JW and Brix was conducted with composite interval mapping using F2 and F2:3 populations derived from the cross between grain Sorghum (Shihong137) × sweet Sorghum (L-Tian). Three QTLs controlling PHT were mapped on SBI-01, SBI-07 and SBI-09 under four different environments. These QTLs could explain 10.16 to 45.29% of the phenotypic variance. Two major effect QTLs on SBI-07 and SBI-09 were consistently detected under four environments. Eight QTLs controlling SLFW were mapped across three environments and accounted for 5.49–25.36% of the phenotypic variance. One major QTL on SBI-09 located between marker Sb5-206 and SbAGE03 was observed under three environments. Four QTLs controlling Brix were identified under two environments and accounted for 11.03–17.65% of the phenotypic variance. Six QTLs controlling JW were detected under two environments, and explained 6.63–23.56% of the phenotypic variance. QTLs for JW on SBI-07 and SBI-09 were consistent in two environments showing higher environmental stability. In addition, two chromosome regions on SBI-07 and SBI-09 were identified in our study having major effect on PHT, SFLW and JW. The results would be useful for the genetic improvement of sweet Sorghum to be used for biofuel production.  相似文献   

11.
To better understand the underlying mechanisms of agronomic traits related to drought resistance and discover candidate genes or chromosome segments for drought-tolerant rice breeding, a fundamental introgression population, BC3, derived from the backcross of local upland rice cv. Haogelao (donor parent) and super yield lowland rice cv. Shennong265 (recurrent parent) had been constructed before 2006. Previous quantitative trait locus (QTL) mapping results using 180 and 94 BC3F6,7 rice introgression lines (ILs) with 187 and 130 simple sequence repeat (SSR) markers for agronomy and physiology traits under drought in the field have been reported in 2009 and 2012, respectively. In this report, we conducted further QTL mapping for grain yield component traits under water-stressed (WS) and well-watered (WW) field conditions during 3 years (2012, 2013 and 2014). We used 62 SSR markers, 41 of which were newly screened, and 492 BC4F2,4 core lines derived from the fourth backcross between D123, an elite drought-tolerant IL (BC3F7), and Shennong265. Under WS conditions, a total of 19 QTLs were detected, all of which were associated with the new SSRs. Each QTL was only identified in 1 year and one site except for qPL-12-1 and qPL-5, which additively increased panicle length under drought stress. qPL-12-1 was detected in 2013 between new marker RM1337 and old marker RM3455 (34.39 cM) and was a major QTL with high reliability and 15.36% phenotypic variance. qPL-5 was a minor QTL detected in 2013 and 2014 between new marker RM5693 and old marker RM3476. Two QTLs for plant height (qPHL-3-1 and qPHP-12) were detected under both WS and WW conditions in 1 year and one site. qPHL-3-1, a major QTL from Shennong265 for decreasing plant height of leaf located on chromosome 3 between two new markers, explained 22.57% of phenotypic variation with high reliability under WS conditions. On the contrary, qPHP-12 was a minor QTL for increasing plant height of panicle from Haogelao on chromosome 12. Except for these two QTLs, all other 17 QTLs mapped under WS conditions were not mapped under WW conditions; thus, they were all related to drought tolerance. Thirteen QTLs mapped from Haogelao under WS conditions showed improved drought tolerance. However, a major QTL for delayed heading date from Shennong265, qDHD-12, enhanced drought tolerance, was located on chromosome 12 between new marker RM1337 and old marker RM3455 (11.11 cM), explained 21.84% of phenotypic variance and showed a negative additive effect (shortening delay days under WS compared with WW). Importantly, chromosome 12 was enriched with seven QTLs, five of which, including major qDHD-12, congregated near new marker RM1337. In addition, four of the seven QTLs improved drought resistance and were located between RM1337 and RM3455, including three minor QTLs from Haogelao for thousand kernel weight, tiller number and panicle length, respectively, and the major QTL qDHD-12 from Shennong265. These results strongly suggested that the newly screened RM1337 marker may be used for marker-assisted selection (MAS) in drought-tolerant rice breeding and that there is a pleiotropic gene or cluster of genes linked to drought tolerance. Another major QTL (qTKW-1-2) for increasing thousand kernel weight from Haogelao was also identified under WW conditions. These results are helpful for MAS in rice breeding and drought-resistant gene cloning.  相似文献   

12.
冷水胁迫下水稻幼苗期根系性状的QTL分析   总被引：4，自引：1，他引：4  
本研究以籼粳交“密阳23/吉冷1号”的F2∶3 代200个家系作为作图群体，在自然和12℃冷水胁迫下，进行水稻幼苗期根系性状的鉴定，并以利用SSR标记构建的分子连锁图谱为基础，对水稻幼苗期的根数、最大的根长、最大根的根径、根干重、根/苗比等根系性状进行了数量性状位点（QTLs）分析。结果表明，上述根系性状在F3代家系群均表现为连续分布，认为是由多基因所控制的数量性状。冷水胁迫下，在第1、2、6、11和12染色体上共检测到与根系性状相关的QTL 17个，对表型变异的解释率为5.8%～15.2%，其中与最大根的根径相关，位于第2染色体RM263-RM6区间的qCRD2和位于第11染色体RM21-RM206区间的qCRD11，以及与根干重相关，位于第2染色体RM262-RM263区间的qCRWT2和位于第11染色体RM229-RM21区间的qCRWT11贡献率较大，分别为15.0%、15.2%、10.6%和12.2%。这些基因的作用方式为部分显性或显性或超显性。  相似文献   

13.
利用碱消值差异显著的大粒粳稻DL115与小粒粳稻XL005杂交获得的200个单株F2群体为作图群体,采用复合区间作图方法,利用SSR标记进行了粳稻碱消值数量性状基因座的检测。结果表明,在F2群体中碱消值呈正态连续分布,表现为由多基因控制的数量性状。共检测到与碱消值相关的QTL3个,qADV3、qADV5和qADV11,分别位于第3、第5和第11染色体的RM14870～RM1284、RM3838～RM3351和RM1812～RM332区间,对表型变异的解释率分别为6.5%、10.3%和8.1%。qADV5的增效等位基因来自碱消值较小的亲本XL005,qADV3和qADV11的增效等位基因来自碱消值较大的亲本DL115;基因作用方式表现为显性或超显性。  相似文献   

14.
Hybrid rice has contributed substantially to the improvement of grain production worldwide, yet its poor cooking and tasting characteristics have long been recognized. In this study, 132 recombinant inbred lines derived from LYPJ were used to identify quantitative trait loci (QTLs) for 12 cooking traits with the high‐density SNP linkage map recently developed by our team. We identified 17 QTLs on chromosomes 1, 2, 4, 5, 6, 7, 8, 9 and 11, which accounted for 7.50% to 23.50% of the phenotypic variations. A novel major QTL qBGL7 for boiled grain length was further fine‐mapped to an interval of 440 Kb between the two markers RM21906 and gl3 using a BC3F2 population. Two near‐isogenic lines with extreme boiled grain length, GX5‐176 and GX5‐101, could be directly used in improving cooking quality. We also identified a QTL for soaked grain width expansion rate, qSGWE6, in the Wx gene region on chromosome 6. The Wx differential regulation coincided with sequential variation between the two parents. Our work offered a theoretical basis for molecular breeding of high‐quality hybrid rice.  相似文献   

15.
以优质水稻品种越富为遗传背景,具有旱稻品种IRAT109导入片段的271份导入系为材料,在水、旱田2个土壤水分环境下调查糙米率、精米率、整精米率和垩白粒率4个品质性状,研究旱田栽培对稻米品质性状的影响,进行QTL定位及基因型与环境的互作分析。结果表明,整精米率和垩白粒率易受土壤水分环境的影响,糙米率和精米率相对稳定。适当水分胁迫能提高稻米的整精米率,减少垩白粒率。利用混合线性模型,水、旱田条件下共检测到4个品质性状的10个加性QTL和2对上位性互作QTL,分别位于第3、4、7、8和9染色体。3个加性QTL (qMR9、qHMR7和qHMR9)和一对上位性互作QTL (qHMR3~qHMR9)的贡献率大于10%。7个QTL与前人研究结果相一致。第4染色体RM1112~RM1272和第9染色体RM1189~RM410是QTL集中分布的区域。根据不同性状对干旱胁迫的反应特点,分别选择水、旱田条件下贡献率大、稳定的QTL或者具有旱田特异性的QTL,进行标记辅助聚合育种是培育抗旱、优质稻的一个有效途径。  相似文献   

16.
Reduced leaf senescence (stay-green) has been demonstrated to improve tolerance of post-flowering moisture stress in grain sorghum. A number of quantitative trait loci (QTLs) associated with stay-green have been identified in sorghum, to facilitate transfer of this trait into adapted genetic backgrounds. This study reports initial evaluations, in both well watered and post-flowering stress environments, following partial introgression (BC2F3/BC1F4 generations) of four stable stay-green QTLs (StgB, Stg1, Stg3 and Stg4) from donor parent B35 to senescent variety R 16. The majority of the introgression lines had higher leaf chlorophyll levels at flowering (a distinctive trait of the donor parent) and a greater percentage green leaf area during the latter part of grain filling, than did R 16, indicating that the stay-green QTLs were expressed phenotypically in the R 16 background. None of the QTL introgression lines achieved the same level of stay-green as B35, however. Maintenance of a greater relative green leaf area during the latter half of grain filling was related to a greater relative grain yield in two of three post-flowering moisture deficit environments in which the materials were evaluated (r 2 = 0.34 in 2004–2005 and r 2 = 0.76 in 2005–2006), as was a direct measure of leaf chlorophyll in one of the post-flowering stress environments in which this was measured (r 2 = 0.42, P < 0.05). Thus the study provided useful evidence that the marker-assisted backcross transfer of stay-green QTLs from B35 into an adapted, but senescent background has the potential to enhance tolerance of post-flowering drought stress in sorghum.  相似文献   

17.
Root system development is an important target for improving yield in rice. Active roots that can take up nutrients more efficiently are essential for improving grain yield. In this study, we performed quantitative trait locus (QTL) analyses using 215 recombinant inbred lines derived from a cross between Xieqingzao B (XB), a maintainer line with short roots and R9308, a restorer line with long roots. Only a QTLs associated with root length were mapped on chromosomes 7. The QTL, named qRL7, was located between markers RM3859 and RM214 on chromosome 7 and explained 18.14–18.36% of the total phenotypic variance evaluated across two years. Fine mapping of qRL7 using eight BC3F3 recombinant lines mapped the QTL to between markers InDel11 and InDel17, which delimit a 657.35 kb interval in the reference cultivar Nipponbare. To determine the genotype classes for the target QTL in these BC3F3 recombinants, the root lengths of their BC3F4 progeny were investigated, and the result showed that qRL7 plays a crucial role in root length. The results of this study will increase our understanding of the genetic factors controlling root architecture, which will help rice breeders to breed varieties with deep, strong and vigorous root systems.  相似文献   

18.
Salinity is a major constraint affecting rice productivity in rainfed and irrigated agro-ecosystems. Understanding salinity effects on rice production at the reproductive stage could improve adaptation for this trait. Identifying quantitative trait loci (QTLs) controlling adaptation to salinity may also accelerate breeding rice germplasm for environments prone to this stress. We used the salt tolerant landrace ‘Hasawi’ as a donor parent to generate three F2 offspring (consisting each of 500 individuals) with three African cultivars (‘NERICA-L-19’, ‘Sahel 108’ and ‘BG90-2’) used as recipient parents (RP). The F2s and F2:3s were evaluated for grain yield and other traits in saline fields. Salinity caused reduction in all measured traits across the F2-derived offspring, e.g. grain yield reduced between 65 and 73 %, but some offspring had twice the RP’s grain yield. QTL analysis revealed 75 QTLs for different traits in all 3 genetic backgrounds (GBs): 24 of them were common among all the 3 GBs while 31 were noted in 2 GBs, and 17 in one GB. ‘Hasawi’ contributed on average 49 % alleles to these QTLs. Two yield and yield related QTLs (qGY11 and qTN11) common in all 3 GBs were mapped on the same chromosomal segment suggesting these QTLs might be stable across different GBs. Four other QTLs were strongly associated with salinity tolerance with peak marker RM419, representing a potential candidate for MAS due to high LOD score and relatively large effect QTLs.  相似文献   

19.
一个新的水稻花粉半不育性位点的定位分析   总被引：1，自引：0，他引：1  
利用一套以籼稻珍汕97B为背景的粳稻日本晴染色体片段代换系,鉴定发现1个半不育的代换系。全基因组基因型分析表明,该代换系仅含3个粳稻导入片段,而其他遗传背景与珍汕97B相同。在湖北武汉和海南分别种植其衍生的F2和F3分离群体,采用单标记分析和区间作图法分析花粉育性和小穗育性的数量性状位点(QTL),结果表明,该代换系的半不育性是第2染色体上的粳稻导入片段引起的,该片段RM262~RM475区间存在1个新的影响花粉育性的QTL,其贡献率为13.9%。研究结果将为进一步精细定位水稻育性QTL以及鉴定相关功能基因提供重要的试验基础。  相似文献   

20.
Salt tolerance of rice (Oryza sativa L.) at the seed germination stage is one of the major determinants for the stable stand establishment in salinity soil. One population of recombinant inbred lines (RILs, F2:9), derived from a cross between a japonica rice landrace tolerant to salt stress and a sensitive indica rice variety, was used to determine the germination traits including imbibition rate and germination percentage under control (water) and salt stress (100 mM NaCl) for 10 days at 30 °C. The multiple interval mapping (MIM) were applied to conduct QTL for the traits. The results showed that seed germination was a quantitative trait controlled by several genes, and strongly affected by salt stress. A total of 16 QTLs were detected in this study, and each QTL could explain 4.6–43.7% of the total phenotypic variance. The expression of these QTLs might be developmentally regulated and growth stage-specific. In addition, only one digenic interaction was detected under salt stress, showing small effect on germination percentage with R2 2.7%. Among sixteen QTLs detected in this study, four were major QTLs with R2 > 30%, and some novel alleles of salt tolerance genes in rice. The results demonstrated that the japonica rice Jiucaiqing is a good source of gene(s) for salt tolerance and the major or minor QTLs identified could be used to improve the salt tolerance by marker-assisted selection (MAS) in rice.  相似文献   

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