共查询到18条相似文献，搜索用时 140 毫秒
1.
本研究利用岗46B/A232构建的重组自交系(F10)176个家系为作图群体,运用QTL Ici Mapping4.0软件对2016和2017年RIL群体的粒形性状和千粒重性状进行QTL检测及其遗传效应分析。结果表明,两年共检测到28个粒形和粒重QTL,分别分布在第1、第2、第3、第4、第5、第6、第8、第9和第12染色体上。其中粒长相关QTL 10个,贡献率为4.90%~31.96%;粒宽相关QTL 6个,贡献率为3.38%~48.76%;谷粒长宽比相关QTL 9个,贡献率为5.70%~30.32%;粒厚相关QTL 6个,贡献率为6.06%~34.09%;千粒重相关QTL6个,贡献率为6.94%~21.22%。本研究中,有9对QTL两年均在同一位置被检测到:3对粒长QTL,1对粒宽QTL,1对谷粒长宽比QTL,2对粒厚QTL和2对千粒重QTL,说明他们受环境影响小,能稳定表达,可用于水稻分子标记辅助育种。第5染色体上RM1089~RM18119区间上稳定检测到控制粒长、粒宽、谷粒长宽比、粒厚和千粒重QTL,多数染色体的多处区段上均检测到一因多效性。 相似文献
2.
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 总被引：2，自引：0，他引：2
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。 相似文献
3.
水稻品种魔王谷粒形、剑叶性状和株高QTL定位 总被引：1，自引：0，他引：1
以粳稻魔王谷和籼稻CO39配组衍生的280个重组自交系为材料, 2015年和2016年对其粒形、剑叶形态、株高性状进行了相关性分析和QTL检测。剑叶长分别与粒厚和株高存在极显著负相关和正相关, 剑叶宽与粒宽存在极显著正相关。检测到17个粒形QTL, 分布于第1、第2、第3、第4、第5、第6、第7、第9和第10染色体上, 贡献率为3.51%~48.65%; 其中, 第3染色体RM6080-RM6283区间对粒长和千粒重兼具显著作用, 第5染色体RM8211-RM3381区间同时影响粒宽和粒厚。检测到12个控制剑叶形态性状的QTL, 分布于第1、第3、第4、第6、第7和第9染色体上, 贡献率为4.26%~38.40%; 有5个多效QTL区间, 其中, 第4染色体RM252-SFP4_6区间同时控制剑叶长、剑叶宽、剑叶面积和粒长, 第9染色体RM257-RM3909区间同时影响剑叶面积和粒长。只检测到一个控制株高的QTL, 位于第1染色体的RM6333-RM5536区间, 是一个主效QTL, 贡献率为28.76%。这些结果为进一步开展粒形、剑叶形态、株高基因的精细定位、克隆和分子辅助育种奠定了基础。 相似文献
4.
水稻剑叶角度与主穗产量的遗传剖析 总被引：2，自引：0，他引：2
理想水稻株型的选育与高产育种密切相关,而剑叶角度则是构成水稻理想株型的重要指标之一,同时也是影响水稻产量的重要因素。合理开发利用水稻中控制剑叶角度及产量相关的数量性状基因座位（QTL）,并结合分子育种技术,可更好地为高产制繁种目标服务。通过应用由244个株系组成的珍汕97B/密阳46重组自交系（RIL）群体,构建含256个分子标记的连锁图谱,采用QTL区间作图法对剑叶角度及主穗产量等5个性状进行定位分析,共检测到17个QTL,分布于染色体1、2、3、5、6、9、10、11。这些QTL对相应性状的贡献率介于3.46%~25.64%之间。在第1染色体上检测到控制5个性状的QTL,其中控制剑叶角度的两个QTL;在第2、3、9、10、11染色体上分别检测到各一个QTL;第5染色体上检测到控制剑叶、每穗总粒数和每穗实粒数的3个QTL;1个每穗实粒数和2个每穗实粒重的QTL分布于第6染色体上。多个区间表现出对两个性状的显著作用,其中第1染色体2个,第6染色体1个。相关性分析表明,较小的剑叶角度可通过提高结实率进而显著增加产量。 相似文献
5.
为推进分子标记辅助选择在玉米育种中的应用,总结出近30年玉米子粒产量及其组成性状的QTL研究进展。表明子粒产量的QTL为5~9个,主要分布在第1、2、5、6、7、8、9染色体上,穗行数、行粒数和百粒重的QTL均为3~6个,主要分布在第1、2、3、4、5、6、7、8染色体上,这些QTL成簇分布在几条主要染色体上,形成QTL富集区域,它们能解释性状表型变异的25%左右;多数性状的QTL主要表现为加性、显性、部分显性或超显性效应,部分性状的QTL存在遗传×环境互作效应。预示子粒产量及其组成性状的QTL存在共同染色体载体,育种选择应在多环境、大样本下进行,在不同环境下均能稳定表达的QTL更适用于育种选择;单株穗数、植株性状和抗逆性的QTL研究有待加强。 相似文献
6.
模拟干旱条件下水稻苗期形态性状的QTL定位 总被引：2，自引：2，他引：0
以抗旱性差异较大的亲本小白粳子和空育131以及其后代180个F2∶3家系群体为试验材料,构建了包含99个SSR分子标记的遗传连锁图谱,利用浓度为15％PEG-6000模拟干旱胁迫条件.在两种条件下,共检测到影响胚芽鞘长、苗高、主根长和根数的QTL 26个,分别位于水稻的第1、2、3、4、5、6、7、8、12条染色体上,贡献率变幅在4.53％～37.22％之间.其中控制苗高的QTL11个,控制胚芽鞘长的QTL 5个,控制主根长的QTL 5个,控制根数的QTL 5个.在第2条染色体的RM1358-RM1347区间和第6条染色体上的RM461-RM162区间发现了控制多个性状的QTL,在第2条染色体的RM1358-RM1347区间和第8条染色体的RM1384-RM547区间还检测到了在两种条件下同时控制胚芽鞘长和主根长的QTL. 相似文献
7.
《棉花学报》2021,(2)
【目的】为了深入分析棉花株型及生育期相关性状的分子遗传机制,加速适机采棉花新品种分子标记辅助育种进程。【方法】通过构建包含413个单株的F2群体,结合高密度SNP(Single nucleotide polymorphism,单核苷酸多态性)遗传图谱,开展株高(Plant height,PH)、第一果枝节位(Node of the first fruiting branch,NFFB)及其高度(Height of NFFB,HNFFB)、第四果枝第一果节长度(First node length of the forth fruiting branch,FNLFFB)、第七果枝第一果节长度(First node length of the seventh fruiting branch,FNLSFB)等5个株型性状和开花期(Flowering time,FT)、花铃期(Flowering to boll-opening period,FBP)、全生育期(Whole growth period,WGP)等3个生育期性状的QTL(Quantitative trait loci,数量性状位点)定位研究。【结果】8个性状均呈现连续的双向超亲分布,性状之间存在广泛的正向相关性,PH与其他株型性状均为极显著正相关,NFFB与3个生育期相关性状均为显著或极显著正相关。共定位到36个加性QTL(Additive QTL,a QTL)位点,包括14个PH相关a QTL、6个NFFB相关a QTL、3个HNFFB相关a QTL、5个FNLFFB相关a QTL、3个FNLSFB相关a QTL、2个FT相关aQTL、2个FBP相关aQTL、1个WGP相关aQTL,单个aQTL贡献率为1.70%～10.38%。这些a QTL分布于20条染色体,每条染色体有1～4个a QTL。发现3个a QTL重叠区段,分别为A11染色体的qNFFB-A11-1与qWGP-A11-1、D3染色体的qHNFFB-D3-1与qPH-D3-1、D8染色体的q NFFB-D8-1与qFNLSFB-D8-1。检测到263个上位性QTL(Epistatic QTL,e QTL),单个e QTL的贡献率为1.17%～6.19%;19个a QTL与21个e QTL位置重叠;At基因组分布有17个a QTL和202个e QTL,Dt基因组分布有19个a QTL和61个e QTL。【结论】本研究为探索棉花株型的分子遗传机制奠定了研究基础,为机采棉分子标记辅助育种提供理论指导。 相似文献
8.
以耐旱性差异较大的两个亲本珍汕97B（ZS97B）和IRAT109构建的重组自交系（RIL）为试验材料,在正常水分条件和干旱胁迫[浓度为18%的聚乙二醇-6000（PEG-6000）模拟干旱]条件对水稻苗期苗高、根长、苗高生长速率、根长苗高比、叶卷曲进行QTL定位分析,共检测到24个相关的QTL,贡献率变幅在7.35%~39.30%。其中正常条件下检测到13个相关的QTL位点,分布在第1、2、3、5、6、10、12染色体上;干旱胁迫条件下检测到11个相关的QTL位点,分布在第1、3、5、7、10、12染色体上。2种条件下检测到的QTL位点差异很大,表明不同处理条件下相关性状的遗传机制不同。此外,在第1染色体上的RM472~RM104存在控制苗高、苗高生长速率、根长、根长苗高比多个性状的QTL,并且此区间在2种处理条件下能重复检测到控制苗高位点。 相似文献
9.
稻米淀粉黏滞性QTL定位及其G×E互作分析 总被引：4，自引：0，他引：4
用珍汕97B/密阳46构建RIL群体及其遗传图谱,经海南和杭州两地遗传试验,以精米粉RVA谱5个参数特征值PKV、HPV、CPV、BDV和SBV作为研究稻米淀粉黏滞性的指标,运用检测QTL主效应、上位性效应和G×E互作效应的遗传分析方法,进行QTL联合分析。结果表明, (1)在检测到涉及5个性状的9个主效应QTL中,除PKV位于第5染色体qPKV5外,其余8个QTL均位于第6染色体上;(2)5个性状均检测到位于第6染色体RM197-RZ516区间的主效应QTL,很可能它们为同一基因,该基因还与Wx基因处于相同区域;(3)检测到与PKV、HPV、CPV、BDV等4个性状有关的QTL主效基因均表现有G×E互作,且方向一致,在海南试验中有增效作用;(4)还检测到涉及5个性状的10对上位性互作效应,但均未发现有显著的上位性×环境互作效应。 相似文献
10.
不同施氮水平下水稻株高与抽穗期的QTL比较分析 总被引：4，自引：0，他引：4
利用超级杂交稻协优9308 (协青早B×中恢9308)衍生的重组自交系(recombinant inbred line, RIL)群体及其分子连锁图谱, 应用Windows QTL Cartographer 2.5对施氮和不施氮条件下水稻株高(PH)和抽穗期(HD)进行了QTL分析。在2种氮水平下检测到9个株高QTL和8个抽穗期QTL, 检测到4个影响2种环境下株高和抽穗期差值的QTL, 单个QTL可解释的表型变异介于5.68%~18.40%之间;在第7染色体上RM5436附近和第8染色上RM5556~RM310区间检测到同时控制2种氮水平下株高和抽穗期的QTL, 各位点的遗传效应贡献率较大, 增效等位基因均来源于R9308, 适用于分子标记辅助育种和聚合育种。在第2染色体上RM5916~RM166区间和第8染色体上RM2366~RM5767区间分别检测到1个影响2种氮水平下抽穗期差值和1个株高差值的QTL可能对水稻的氮素高效利用有直接贡献。 相似文献
11.
Anuradha Kotla Surekha Agarwal Venkateswara Rao Yadavalli Vishnu Prasanth Vinukonda V. N. Chakravarthi Dhavala Sarla Neelamraju 《Journal of Crop Science and Biotechnology》2013,16(1):35-44
Yield of popular rice varieties such as Swarna grown in rainfed lowlands and Madhukar grown in flood prone areas needs to be continuously improved. Recombinant inbred lines (RILs) were developed from the cross between two indica cultivars Madhukar and Swarna. QTLs were mapped using 110 markers in 168 RILs. In all, 26 QTLs were mapped for yield and five related traits on chromosomes 1, 2, 3, 6, 7, 8, 10, 11, and 12. QTL for plant height and days to flowering were co-located between RM23147 — RM337 on chromosome 8. RM251, RM314, and RM1135 were significantly associated with plant height and OsYSL17 was significantly linked with grain yield. Epistatic interaction was detected for plant height and number of tillers. Several candidate genes reported for yield and related traits underlie the QTL regions. 相似文献
12.
Ankit Malik Aruna Kumar Ranjith Kumar Ellur Subbaiyan Gopala Krishnan Kunnummal Kurungara Vinod Deepshikha Dixit Mariappan Nagarajan Prolay Kumar Bhowmick Haritha Bollinedi Nagendra Kumar Singh Ashok Kumar Singh 《Plant Breeding》2023,142(3):327-337
Increasing crop productivity is one of the prime goals of crop breeding research. Rice grain yield is a complex quantitative trait governed by polygenes. Although several QTLs governing grain yield traits have been reported and limited attempts have been made to map QTLs for grain yield parameters in Basmati rice. A population from the cross Sonasal and Pusa Basmati 1121 comprising 352 RILs was generated through the single seed descent method. A total of 12 QTLs governing yield and yield-related traits were mapped on six chromosomes, namely, 1, 2, 3, 7, 8 and 9, of which five QTLs were novel. We identified a novel and robust epistatic QTL (qPH1.1 and qPL1.1) governing plant height and panicle length, flanked by the markers RM5336-RM1 on chromosome 1. The gene encoding brassinosteroid insensitive 1-associated receptor kinase 1 precursor is the putative candidate gene underlying this epistatic QTL. Another novel QTL, qNT3.1, governing tiller number was bracketed to a region of .77 Mb between the markers RM15247 and RM15281 on chromosome 3. Of the 57 annotated gene models, Os03g0437600 encoding alpha/beta-fold hydrolase, a homologous to AtKai2 is a putative candidate gene underlying the novel QTL qNT3.1. The other QTLs such as qDFF1.1 governing days to 50% flowering co-localizes with the gene Ghd7, QTL for plant height qPH1.2 co-localizes with the gene sd1, the QTLs for panicle length co-localizes with FUWA and DEP2, the QTL for tiller number co-localizes with OsRLCK57 and QTLs for thousand-grain weight co-localize with the major gene GS3. The QTLs identified in the current study can be effectively used in marker-assisted selection for developing Basmati rice varieties with a higher yield. 相似文献
13.
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
14.
Identification of QTLs controlling quantitative characters in rice using RFLP markers 总被引：14，自引：0，他引：14
Summary Segregation of plant height (PH), tiller number (TN), panicle number (PN), average panicle length per plant (PL), average primary branch number per panicle per plant (PBN) and 1000 grain weight (1000G) were specific in an F2 population derived from a cross of Palawan, a tall Javanica variety, and IR42, an Indica semidwarf variety. One hundred and four informative RFLP markers covering all 12 chromosomes were used for detecting putative QTLs controlling the traits. Orthogonal contrasts and interval mapping analysis were used for the analysis. QTL detected for PH on the region of chromosome 1, where semidwarfing gene sd-1 locus is located, seems to be a multiple allelic locus. An additional QTL for PH was identified on chromosome 2. Two QTLs for TN were detected on chromosomes 4 and 12. The QTL on chromosome 4 seemed also to govern the variation in PN. Four QTLs were found for the other traits, two of them for PL were located on chromosomes 6 and 2, one for PBN on chromosome 6 and the other for 1000G on chromosome 1. Additive gene actions were found to be predominant, except one QTL for PH and one QTL for PL, but partial or incomplete dominance also existed for the QTLs detected. 相似文献
15.
L. Lei H. L. Zheng J. G. Wang H. L. Liu J. Sun H. W. Zhao L. M. Yang D. T. Zou 《Euphytica》2018,214(7):109
Tiller number per plant (TN) and plant height (PH) are important agronomic traits related to grain yield (GY) in rice (Oryza sativa L.). A total of 30 additive quantitative trait loci (A-QTL) and 9 significant additive × environment interaction QTLs (AE-QTL) were detected, while the phenotypic and QTL correlations confirmed the intrinsic relationship of the three traits. These QTLs were integrated with 986 QTLs from previous studies by metaanalysis. Consensus maps contained 7156 markers for a total map length of 1112.71 cM, onto which 863 QTLs were projected; 78 meta-QTLs (MQTLs) covering 11 of the 30 QTLs were detected from the cross between Dongnong422 and Kongyu131 in this study. A total of 705 predicted genes were distributed over the 21 MQTL intervals with physical length <0.3 Mb; 13 of the 21 MQTLs, and 34 candidate genes related to grain yield and plant development, were screened. Five major QTLs, viz. qGY6-2, qPH7-2, qPH6-3, qTN6-1, and qTN7-1, were not detected in the MQTL intervals and could be used as newly discovered QTLs. Candidate genes within these QTL intervals will play a meaningful role in molecular marker-assisted selection and map-based cloning of rice TN, PH, and GY. 相似文献
16.
粒型、株高及穗部组成性状与产量形成密切相关,是水稻重要农艺性状,但遗传基础复杂。染色体片段代换系是用于复杂性状遗传研究的良好材料。本研究鉴定了一个以日本晴为受体、西恢18为供体亲本的水稻优良染色体片段代换系Z746。Z746携带来自西恢18的7个代换片段,平均代换长度为3.99 Mb,其株高、粒长和穗部性状均与受体存在显著差异。进一步通过日本晴与Z746杂交构建的次级F2群体共检测到36个相关QTL,分布于2号、3号、4号、6号和11号染色体。其中5个可能与已克隆基因等位,如qPH3-1等,8个可被多次检出,表明这些是遗传稳定的主效QTL。Z746的粒长主要由4个QTL(qGL3、qGL4、qGL2、qGL6)控制,其中qGL3和qGL4对粒长变异的贡献率分别为60.28%和27.47%。株高由5个QTL控制,穗长由4个QTL控制,每穗粒数由2个QTL控制,千粒重由2个QTL控制。然后以MAS在F3共选出8个单片段代换系,并以此在F4进行了相关QTL验证,共有24个QTL可被8个单片段代换系(SSSL)检出,重复检出率为66.7%,表明这些QTL遗传稳定。本研究为目的QTL的进一步遗传机制研究及分子设计育种奠定了良好基础。 相似文献
17.
以东乡普通野生稻和日本晴为亲本构建的染色体片段置换系为研究材料,2019年分别在北京、山东临沂和江西南昌对分蘖数、穗粒数和粒形等11个产量相关性状进行多环境鉴定,结合染色体片段置换系基因型数据定位水稻产量相关性状QTL。3个环境共检测到68个QTL,包括株高4个、穗长5个、分蘖数2个、一次枝梗数7个、一次枝梗粒数8个、二次枝梗数8个、二次枝梗粒数10个、每穗粒数6个、千粒重7个、粒长8个和粒宽3个;LOD值介于2.50~12.66之间,贡献率变幅为4.67%~27.79%,15个QTL的贡献率大于15%;24个QTL与已报道位点/基因位置重叠,44个QTL为新发现位点;6个QTL在2个环境能被检测到,1个QTL qTGW2能在3个环境检测到,且是还未报道的新位点。最后,利用BSA法验证了qPH7、qPBPP8-2和qGW10三个QTL的可靠性。本研究将为后续产量相关性状基因克隆以及进一步解析其遗传基础和分子调控机制奠定基础。 相似文献
18.
利用永久F2群体在不同光周期环境下定位玉米株高QTL 总被引：2，自引：0，他引：2
为了研究热带玉米株高的遗传机制, 利用温热组合黄早四×CML288衍生的重组自交系群体构建了一个包含278个组合的永久F2群体, 分别在海南三亚、河南郑州和洛阳、北京昌平和顺义等5个地点3种光周期环境中进行株高鉴定。利用复合区间作图法在3种光周期环境下共定位到12个不同的玉米株高QTL。位于第1染色体上的qPH1-2和位于第4染色体上的QTL qPH4在3个环境中同时被检测到, 表明这2个QTL在不同日照环境下均能稳定表达。位于第3染色体上的qPH3在短日照环境下能解释株高遗传变异的32.13%, 而在2个长日照环境下并未被检测到, 表明此QTL是短日照环境下特异表达的主效QTL。第10染色体上QTL qPH10-1分别解释2个长日照环境中株高遗传变异的25.39%和39.58%, 是长日照环境下特异表达的主效株高QTL。 相似文献