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1.
A genetic linkage map with 70 loci (55 SSR, 12 AFLP and 3 morphological loci) was constructed using 117 F2 plants obtained from a cross between two upland cotton cultivars Yumian 1 and T586, which have relatively high levels of DNA marker polymorphism and differ remarkably in fiber-related traits. The linkage map comprised of 20 linkage groups, covering 525 cM with an average distance of 7.5 cM between two markers, or approximately 11.8% of the recombination length of the cotton genome. The present genetic linkage map was used to identify and map the quantitative trait loci (QTLs) affecting lint percentage and fiber quality traits in 117 F2:3 family lines. Sixteen QTLs for lint percentage and fiber quality traits were identified in six linkage groups by multiple interval mapping: four QTLs for lint percentage, two QTLs for fiber 2.5% span length, three QTLs for fiber length uniformity, three QTLs for fiber strength, two QTLs for fiber elongation and two QTLs for micronaire reading. The QTL controlling fiber-related traits were mainly additive, and meanwhile including dominant and overdominant. Several QTLs affecting different fiber-related traits were detected within the same chromosome region, suggesting that genes controlling fiber traits may be linked or the result of pleiotropy.  相似文献   

2.
Genetic mapping is an essential tool for cotton (Gossypium hirsutum L.) molecular breeding and application of DNA markers for cotton improvement. In this present study, we evaluated an RI population including 188 RI lines developed from 94 F2-derived families and their two parental lines, ‘HS 46’ and ‘MARCABUCAG8US-1-88’, at Mississippi State, MS, for two years. Fourteen agronomic and fiber traits were measured. One hundred forty one (141) polymorphic SSR markers were screened for this population and 125 markers were used to construct a linkage map. Twenty six linkage groups were constructed, covering 125 SSR loci and 965 cM of overall map distance. Twenty four linkage groups (115 SSR loci) were assigned to specific chromosomes. Quantitative genetic analysis showed that the genotypic effects accounted for more than 20% of the phenotypic variation for all traits except fiber perimeter (18%). Fifty six QTLs (LOD > 3.0) associated with 14 agronomic and fiber traits were located on 17 chromosomes. One QTL associated with fiber elongation was located on linkage group LGU01. Nine chromosomes in sub-A genome harbored 27 QTLs with 10 associated with agronomic traits and 17 with fiber traits. Eight chromosomes in D sub-genome harbored 29 QTLs with 13 associated with agronomic traits and 16 with fiber traits. Chromosomes 3, 5, 12, 13, 14, 16, 20, and 26 harbor important QTLs for both yield and fiber quality compared to other chromosomes. Since this RI population was developed from an intraspecific cross within upland cotton, these QTLs should be useful for marker assisted selection for improving breeding efficiency in cotton line development. Paper number J1116 of the Mississippi Agricultural and Forestry Experiment Station, Mississippi State University, Mississippi State, MS 39762. Mention of trademark, proprietary product, or vendor does not constitute a guarantee or warranty of the product by USDA, ARS and does not imply its approval to the exclusion of other products or vendors that may also be suitable.  相似文献   

3.
鲁棉研15号纤维品质性状QTL定位研究   总被引：3，自引：3，他引：0  
 以陆地棉（Gossypium hirsutum L.）杂交种鲁棉研15号的F2群体为作图群体,利用SSR标记和JoinMap3.0软件构建遗传连锁图谱;利用复合区间作图法分别对随机组成的3个鲁棉研15号的F2:3家系亚群体进行纤维品质性状QTL定位。构建的遗传连锁图谱包含116个多态位点,25个连锁群,全长892.25 cM,覆盖棉花总基因组的20.05%,平均每个连锁群4.64个标记,标记间平均距离7.76 cM;根据已有图谱的定位结果,19个连锁群与染色体建立了联系。在3个F2:3家系亚群体中共检测到46个QTL,其中16个为纤维长度（FL）QTL、7个为纤维强度（FS）、12个为麦克隆值（FM）、6个为伸长率（FE）,5个为整齐度指数（FU）。发现在Ah05、Ah08、Ah09、Dh02染色体上QTL有成簇分布的现象,并在3个亚群体中检测到一些受环境影响较小、稳定遗传的QTL。这些QTL可以在今后应用于分子标记辅助选择。  相似文献   

4.
Fiber yield and yield components – including lint index (LI), seed index (SI), lint yield (LY), seed cotton yield (SCY) and number of seeds per boll (NSPB) – were investigated on the farm of Huazhong Agricultural University in a population of 69 F2 individuals and corresponding F2:3 families derived from a cross between high-fiber-yield Gossypium hirsutum CV Handan 208 and a low-fiber-yield Gossypium barbadense CV Pima 90. On the basis of the genetic map constructed previously from the same population by Lin et al. (Plant Breed., 2005), quantitative trait locus (QTL) analysis was performed with the software QTL Cartographer V2.0 using composite interval mapping method (LOD ≥ 3.0). A total of 21 QTLs were identified, which were located in 15 linkage groups. The number of QTLs per trait ranged from one to seven. Of these QTLs detected, one affecting LI explained 24.3% of phenotypic variation (PV), five influencing SI explained 16.15–39.21% of PV, seven controlling LY explained 13.01–28.35% of PV, and two controlling SCY explained 22.76 and 39.97% of PV, respectively. Simultaneously, the detected six QTLs for NSPB were located on five linkage groups, which individually explained 28.01–38.32% of the total phenotypic variation. The results would give breeders further insight into the genetic basis of fiber yield.  相似文献   

5.
The most widely grown tetraploid Gossypium hirsutum and G. barbadense differ greatly in yield potential and fiber quality and numerous quantitative trait loci (QTLs) have been reported. However, correspondence of QTLs between experiments and populations is poor due to limited number of markers, small population size and inaccurate phenotyping. The purpose of the present study was to map QTLs for yield, yield components and fiber quality traits using testcross progenies between a large interspecific F2 population and a commercial cotton cultivar as the tester. The results were compared to these from its F2 and F2:3 progenies. Of the 177 QTLs identified from the three populations, 65 fiber QTLs and 51 yield QTLs were unique with an average of 8–12 QTLs per traits. All the 26 chromosomes carried QTLs, but differed in the number of QTLs and the number of QTLs between fiber and yield QTLs. The congruence of QTLs identified across populations was higher (20–60 %) for traits with higher heritabilities including fiber quality, seed index and lint percentage, but lower (10–25 %) for lower heritability traits-seedcotton and lint yields. Major QTLs, QTL clusters for the same traits and QTL ‘hotspots’ for different traits were also identified. This research represents the first report using a testcross population in QTL mapping in interspecific cotton crosses and provides useful information for further comparative analysis and marker-assisted selection.  相似文献   

6.
Molecular markers associated with fiber development traits have the potential to play a key role in understanding of cotton fiber development. Seventeen SSRs out of 304 markers tested from MGHES (EST-SSR), JESPR (genomic SSR), and TMB (BAC-derived SSR) collections showed significant linkage associations (using a Kurskal-Wallis non-parametric test) with lint percentage QTL in a set of recombinant inbred cotton lines (RILs) segregating for lint percentage. The permutation test of these potential markers associated with lint percentage QTL(s) determined that 12 SSR markers have stable estimates, exceeding empirically chosen threshold significance values at or above α = 0.01. Interval mapping demonstrated that 9 SSRs with stable critical LOD threshold values at α = 0.01 have significant QTL effect. Multiple QTL-mapping (MQM) revealed that at least, two highly significant fiber development QTLs exist around regions TMB0471 and MGHES–31 (explained about 23–59% of the phenotypic variation of lint percentage) and around markers MGHES–31 and TMB0366 (accounted for 5.4–12.5% phenotypic variation of lint percentage). These markers, in particular fiber-specific EST-SSRs, might be the possible ‘candidate’ loci contributing for fiber development in cotton. BAC-derived SSRs associated with fiber trait are the possible markers that are useful for the identification of physical genomic contigs that contain fiber development genes. Several lint percentage trait associated SSR markers have been located to chromosomes 12, 18, 23, and 26 using deletion analysis in aneuploid chromosome substitution lines. Outcomes of the work may prove useful in understanding and revealing the molecular basis of the fiber development, and the utilization of these markers for development of superior cotton cultivars through marker-assisted selection (MAS) programs. I. Y. Abdurakhmonov and S. Saha contributed equally to the work  相似文献   

7.
A high-density molecular marker linkage map of cotton based entirely on polymerase chain reaction-based markers is useful for a marker-assisted breeding program. Four kinds of markers—simple sequence repeats (SSRs), sequence-related amplified polymorphism (SRAP), random amplified polymorphic DNA (RAPD), and retrotransposon-microsatellite amplified polymorphism (REMAP)—were used to assay an F2 population from a cross between “Handan208” (Gossypium hirsutum) and “Pima90” (Gossypium barbadense). Sixty-nine F2 plants were used for map construction using 834 SSRs, 437 SRAPs, 107 RAPDs, and 16 REMAPs. Linkage analysis revealed that 1,029 loci could be mapped to 26 linkage groups that extended for 5,472.3 cM, with an average distance between 2 loci of 5.32 cM. The corresponding 69 F2:3 families were grown, arranged in two replicates, and scored for eight phenotypes. Quantitative trait loci (QTL) analysis was performed by means of composite interval mapping using WinQtlCart ver 2.0. A total of 52 distinct QTLs were detected: 4 QTLs for lint index, 8 for seed index, 11 for lint yield, 4 for seed cotton yield, 9 for number of seed per boll, 3 for fiber strength, 5 for fiber length, and 8 for micronaire value. The present map and QTL analysis may provide a useful tool for breeders to transfer desirable traits from G. barbadense to the mainly cultivated species, G. hirsutum.  相似文献   

8.
陆地棉衣分差异群体产量及产量构成因素   总被引：14，自引：5，他引：9  
 以衣分差异较大的陆地棉品种为材料,构建了包含188个F2单株的作图群体,应用6111对SSR引物对亲本进行了分子标记筛选,结果仅获得了123个多态性位点,其中88个位点构建了总长为666.7 cM、平均距离为7.57 cM的遗传图谱,覆盖棉花基因组的14.9%。通过复合区间作图法对F2单株和F2∶3家系进行QTL检测,共鉴定出了18个控制产量及产量构成因素变异的QTLs,包括2个衣分QTLs、4个子棉产量QTLs、4个皮棉产量QTLs、2个衣指QTLs、3个单株铃数QTLs、2个铃重QTLs和1个子指QTL。 解释的表型变异分别为\{6.9%\}～16.9%、5.6%～16.2%、4.8%～15.6%、7.7%～13.3%、8.2%～11.6%、6.1%～7%和6.6%。不同QTLs在相同染色体区段上的成簇分布表明与产量性状相关的基因可能紧密连锁或一因多效。产量及产量构成因素QTLs的遗传方式主要以显性和超显性效应为主。检测到的主效QTLs可以用于棉花产量及产量构成因素的分子标记辅助选择。  相似文献   

9.
陆地棉产量相关性状的QTL定位   总被引：10，自引：0，他引：10  
中棉所28和湘杂棉2号分别是以中棉所12×4133和中棉所12×8891配制而成的两个陆地棉强优势杂交种。以其F2为作图群体,筛选6000多对SSR引物,利用两群体间27个共有多态位点,通过JoinMap 3.0软件整合了一张包含245个多态位点、全长1847.81 cM的遗传图谱。利用Win QTLCart 2.5复合区间作图法分别对两群体8个产量相关性状在F2和F2:3中进行QTL定位,在中棉所28群体多环境平均值的联合分析中检测到16个QTL,三环境分离分析中检测到43个QTL;在湘杂棉2号群体分别检测到20个和66个QTL。在A3、D8、D9等染色体上有QTL成簇分布现象,同时在两个群体中发现一些不受环境影响且稳定遗传的QTL。对考察的8个性状在两个群体中发现12对共有QTL,控制果枝数、衣分和籽指的QTL增效基因位点均来源于共同亲本中棉所12。综合分析推测中棉所12的育种价值主要是通过提高后代的结铃性来实现的。研究结果为棉花产量性状的分子设计育种提供了有用的信息。  相似文献   

10.
A genetic linkage map of chromosome 6 was constructed by using 270 recombinant inbred lines originated from an upland cotton cross (Yumian 1 × T586) F2 population. The genetic map included one morphological (T1) and 18 SSR loci, covering 96.2 cM with an average distance of 5.34 cM between two markers. Based on composite interval mapping (CIM), QTL(s) affecting lint percentage, fiber length, fiber length uniformity, fiber strength and spiny bollworm resistance (Earias spp.) were identified in the t1 locus region on chromosome 6. The allele(s) originating from T586 of QTLs controlling lint percentage increased the trait phenotypic value while the alleles originating from Yumian 1 of QTLs affecting fiber length, fiber length uniformity, fiber strength and spiny bollworm resistance increased the trait phenotypic value.  相似文献   

11.
陆地棉遗传图谱构建及产量和纤维品质性状QTL定位   总被引：13，自引：0，他引：13  
利用3 458对SSR引物筛选陆地棉中棉所35和渝棉1号间的多态性引物, 获得173对。以多态性引物检测(渝棉1号×中棉所35)F2群体180个单株的标记基因型, 共获得178个标记位点。构建的遗传连锁图谱包括148个标记, 36个连锁群, 总长1 309.2 cM, 标记间平均距离8.8 cM, 覆盖棉花基因组的29.5%。36个连锁群中的28个分别被定位于20条染色体, 8个连锁群未定位于染色体。以渝棉1号×中棉所35的F2、F2:3群体的产量、纤维品质性状鉴定结果, 利用区间作图方法, 检测到4个产量性状QTL, 即2个衣分(LP)、1个铃重(BW)、1个籽指(SD); 5个纤维品质性状QTL, 即1个纤维长度(FL)、2个纤维比强度(FS)和2个纤维细度(FF)。LP1、BW、SD、FL和FS1被定位于第7染色体, LP2、FS2、FF1和FF2被分别位于第15、21、9和20染色体。5个纤维品质QTL的有利等位基因均来源于渝棉1号。  相似文献   

12.
[Objective] The aim of this study was to map quantitative traits loci (QTLs) for yield and fiber quality traits in chromosome segment introgression lines (CSILs) from Gossypium hirsutum×Gossypium barbadense. [Method] Four CSILs, MBI 7115, MBI 7412, MBI 7153 and MBI 7346, which were obtained by advanced backcrossing and continuous inbreeding from upland cotton variety CCRI 45 and sea-island cotton variety Hai 1, were used to construct double-cross segregating populations F1 and F1:2 through the following crosses: [(MBI 7115×MBI 7412)×(MBI 7153×MBI 7346)]. Simple sequence repeat (SSR) molecular markers were used to evaluate the genotyes of parents. The F1 and F1:2 populations were used to map QTLs for yield and fiber quality-related traits. [Result] The recovery rates of the recurrent parent CCRI 45 in the four CSILs were all above 97%. Forty-one QTLs, which were distributed across 11 chromosomes, were detected using the two segregating populations. There were 30 QTLs controlling fiber quality with phenotypic variations ranging from 1.11% to 11.80% and 11 QTLs controlling yield-related traits with 1.09%–13.57% phenotypic variations. [Conclusion] Five QTLs for fiber quality were consistently detected in two populations and they were all newly discovered QTLs. This study provides an important theoretical basis for fine mapping of these QTLs and molecular marker-assisted breeding for excellent fiber quality.  相似文献   

13.
Using the marker information of 275 F2 plants quantitative traits determining morphological and yield characters were studied analyzing F3progenies grown in four different experiments at three sites. The map constructed contains 113 markers including the major dwarfing gene Ddw1 with an average distance of about 10 cM between adjacent markers. Of the 21 QTLs detected ten were found to map on chromosome 5RL in the region of Ddw1. Beside the expected effects on plant height and peduncle length that are most probably due to the presence of the major dwarfing gene, additional effects on yield characters and flowering time were discovered in that region which may be caused by pleiotropic effects of Ddw1. An additional supposed gene cluster consisting of four QTLs controlling flowering time and yield components was discovered in the centromere region of chromosome 2R. Further loci are distributed on chromosomes 1R (1), 4R (1) 6R (3) and 7R (1). The map positions of the quantitative trait loci detected in rye are discussed in relation to major genes or QTLs determining agronomically important traits in other cereals. This revised version was published online in July 2006 with corrections to the Cover Date.  相似文献   

14.
利用棉花纤维品质相关QTL评价海陆渐渗品种品质初探   总被引：2，自引：0，他引：2  
 选用第7、13、25号染色体上纤维品质相关QTL(Quantitative trait locus)密集分布区间的48对SSR（Simple sequence repeat）引物,对48份棉花种质进行多态性检测,研究结果显示在实验材料中3对SSR引物具有陆海差异多态性,相关分析表明3个优质基因SSR位点与纤维长度和纤维强度达到极显著相关。通过与海岛棉带型比对、追踪,从分子水平上明确了这些品种中来源于海岛棉渐渗于陆地棉的优异基因区段,为下一步分子标记辅助聚合育种提供了理论参考。  相似文献   

15.
Rice leaffolder (RLF) (Cnaphalocrocis medinalis (Guenée) is a destructive and widespread insect pest throughout the rice growing regions in Asia. The genetics of resistance to RLF in rice is very complex and not thoroughly explored. The present study was conducted to detect the quantitative trait loci (QTL) associated with RLF resistance involving 176 recombinant inbred lines (RILs) of F8 generation derived from a cross between IR36, a leaffolder susceptible variety and TNAULFR831311, a moderately resistant indica rice culture. Simple sequence repeat (SSR) markers were used to construct specific linkage groups of rice. All the RILs were screened to assess their level of resistance to RLF by measuring the leaf area damaged. Besides this, the length and width of the flag leaf of each RIL were measured since these two parameters were considered as correlated traits to the RLF resistance in rice. All the above parameters observed across the RILs showed quantitative variation. Correlation analysis revealed that damage score based on greenhouse screening was positively correlated with length and width of the flag leaf. Out of 364 SSR markers analysed, 90 were polymorphic between the parents. Multi-point analysis carried out on segregating 69 SSR marker loci linkage group wise resulted in construction of linkage map with eleven groups of 42 SSR markers. Through single marker analysis, 19 SSR markers were found to have putative association with the three phenotypic traits studied. Of these markers, RM472 was identified as a locus having major effect on RLF resistance trait based on length of the flag leaf. Interval mapping detected two QTLs on linkage group 1. Among these QTLs, the QTL flanked by RM576–RM3412 were found to be associated with width of the flag leaf and RLF resistance. The putative SSR markers associated with leaffolder resistance identified in the present study may be one of the loci contributing resistance to RLF in rice.  相似文献   

16.
渝棉1号优质纤维QTL的标记与定位   总被引：4，自引：0，他引：4  
王娟  郭旺珍  张天真 《作物学报》2007,33(12):1915-1921
利用陆地棉遗传标准系TM-1和优质品种渝棉1号组建了(TM-1×渝棉1号) F2和F2:3分离群体。通过5 544对SSR引物对亲本进行筛选,获得178个多态性标记,用其中138个构建了总长为959.7 cM的遗传图谱,覆盖棉花基因组的19%。应用复合区间作图法分析了该组合的F2单株和F3家系纤维品质性状,共检测到12个纤维品质数量性状基因座(QTL),包括1个纤维长度的、4个纤维强度的、3个马克隆值的、3个整齐度的和1个伸长率的,分别解释各性状表型变异的6.1%、5.31%~14.62%、7.88%~19.17%、7.4%~11.71%和8.26%。研究还发现Chr.23和Chr.24是优质纤维QTLs的富集区。  相似文献   

17.
The germplasm with exotic genomic components especially from Sea Island cotton (Gossypium barbadense L. Gb) is the dominant genetic resources to enhance fiber quality of upland cotton (G. hirsutum L., Gh). Due to low efficiency of phenotypic evaluation and selection on fiber quality, genetic dissection of favorable alleles using molecular markers is essential. Genetic dissection on putative Gb introgressions related to fiber traits were conducted by SSR markers with mapping populations derived from a cross between Luyuan343 (LY343), a superior fiber quality introgression line (IL) with genomic components from Gb, and an elite Upland cotton cv. Lumianyan#22 (LMY22). Among 82 polymorphic loci screened out from 4050 SSRs, 42 were identified as putative introgression alleles. A total of 29 fiber-related QTLs (23 for fiber quality and six for lint percentage) were detected and most of which clustered on the putative Gb introgression chromosomal segments of Chr.2, Chr.16, Chr.23 and Chr.25. As expected, a majority of favorable alleles of fiber quality QTLs (12/17, not considering the QTLs for fiber fineness) came from the IL parent and most of which (11/12) were conferred by the introgression genomic components while three of the six (3/6) favorable alleles for lint percentage came from the Gh parent. Validation of these QTLs using an F8 breeding population from the same cross made previously indicated that 13 out of 29 QTLs showed considerable stability. The results suggest that fiber quality improvement using the introgression components could be facilitated by marker-assisted selection in cotton breeding program.  相似文献   

18.
Summary The aim of this investigation was to map quantitative trait loci (QTL) associated with grain yield and yield components in maize and to analyze the role of epistasis in controlling these traits. An F2:3 population from an elite hybrid (Zong3 × 87-1) was used to evaluate grain yield and yield components in two locations (Wuhan and Xiangfan, China) using a randomized complete-block design. The mapping population included 266 F2:3 family lines. A genetic linkage map containing 150 simple sequence repeats and 24 restriction fragment length polymorphism markers was constructed, spanning a total of 2531.6 cM with an average interval of 14.5 cM. A logarithm-of-odds threshold of 2.8 was used as the criterion to confirm the presence of one QTL after 1000 permutations. Twenty-nine QTL were detected for four yield traits, with 11 of them detected simultaneously in both locations. Single QTL contribution to phenotypic variations ranged from 3.7% to 16.8%. Additive, partial dominance, dominance, and overdominance effects were all identified for investigated traits. A greater proportion of overdominance effects was always observed for traits that exhibited higher levels of heterosis. At the P ≤ 0.005 level with 1000 random permutations, 175 and 315 significant digenic interactions were detected in two locations for four yield traits using all possible locus pairs of molecular markers. Twenty-four significant digenic interactions were simultaneously detected for four yield traits at both locations. All three possible digenic interaction types were observed for investigated traits. Each of the interactions accounted for only a small proportion of the phenotypic variation, with an average of 4.0% for single interaction. Most interactions (74.9%) occurred among marker loci, in which significant effects were not detected by single-locus analysis. Some QTL (52.2%) detected by single-locus analysis were involved in epistatic interactions. These results demonstrate that digenic interactions at the two-locus level might play an important role in the genetic basis of maize heterosis.  相似文献   

19.
海岛棉CSSLs分子评价及纤维品质、产量性状QTL定位   总被引：1，自引：0，他引：1  
本课题组前期以陆地棉中棉所8号(CCRI8)为轮回亲本, 海岛棉Pima 90-53为供体亲本培育了一套陆地棉中棉所8号为背景的海岛棉染色体片段置换系(CSSLs), 本研究利用SSR标记对该置换系群体BC3F5进行基因型检测, 在3个不同环境下(河北保定、青县和新疆轮台)鉴定其纤维品质和产量相关性状并进行QTL定位。该置换系群体包含182个家系, 置换片段数在1~15个之间, 平均为6.6个; 导入片段长度在0.7~83.2 cM之间, 平均长度为16.8 cM; 置换片段总长度20 249.6 cM; 背景回复率在92.3%~99.6%之间, 平均为96.2%。共检测出59个相关的QTL, 其中与纤维品质性状相关的41个, 单个QTL的贡献率为1.27%~26.66%; 与产量性状相关的18个, 单个QTL的贡献率为2.03%~19.38%; 检测到14个稳定的QTL, 其中4个马克隆值和2个纤维伸长率相关的稳定QTL增效基因均来自高值亲本海岛棉Pima 90-53, 2个铃重相关的稳定QTL增效基因来自高值亲本陆地棉中棉所8号。研究结果为深入开展纤维品质和产量性状的QTL精细定位、QTL间互作和分子育种提供了理论依据。  相似文献   

20.
利用黄褐棉染色体片段导入系定位产量和纤维品质性状QTL   总被引：1，自引：0，他引：1  
沈超  李定国  聂以春  林忠旭 《作物学报》2017,43(12):1733-1745
陆地棉的遗传基础狭窄,阻碍了棉花的遗传改良进程。为有效拓宽陆地棉的遗传基础,本试验利用野生种黄褐棉(AD4)为供体亲本,以综合性状优良的B0011品系为受体亲本(国审棉华杂棉H318的亲本之一),构建了含71个株系的导入系BC5S5群体。基于SLAF-seq的基因分型和多年多点田间试验的综合分析表明,该导入系在产量和纤维性状方面具有很大的变异,共检测到48个QTL,其中包含19个产量和29个纤维构成因素相关的QTL。在At亚组检测到9个性状的32个QTL,在Dt亚组为16个。进一步对QTL加性效应方向分析显示,其中有30个QTL的加性效应为正,18个QTL的加性效应为负。本研究结果为利用黄褐棉重要农艺性状有利等位基因改良陆地棉产量和品质奠定了基础。  相似文献   

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