黄淮麦区小麦品种(系)产量性状与分子标记的关联分析

为了获得与小麦产量性状关联的分子标记,筛选相关标记的等位变异,以128份黄淮麦区小麦品种(系)为材料,在4个环境下鉴定产量性状,并选用在小麦全基因组21条染色体上的64个SSR标记、27个EST-SSR标记和47个功能标记检测所有材料的基因型。91个SSR和EST-SSR标记共检测到315个等位变异,单个引物检测到2~7个等位变异,平均3.5个;47个功能标记共检测到107个等位变异,单个引物检测到2~5个等位变异,平均2.3个。关联分析表明,49个位点与4个环境的产量性状及其均值显著关联(P≤0.005),其中38个位点在2个或以上环境或均值下被重复验证,16个位点与2个或以上性状相关联。对相对稳定的等位变异作进一步分析,发掘了一批与产量性状相关的优异等位变异,如降低株高的等位变异Ax2*-null和UMN19*-A362,增加穗长的等位变异barc21-A220,增加可育小穗数的等位变异gpw2111-A156,增加总小穗数的等位变异swes65-A120,增加穗数的等位变异VRN-A1*-A1068,增加穗粒数的等位变异cfd5-A215和增加千粒重的等位变异wmc626-A170。研究结果对利用分子标记辅助选择进行小麦产量性状的遗传改良具有一定的指导意义。     

Upland rice breeding in Brazil: a simultaneous genotypic evaluation of stability, adaptability and grain yield

A durum wheat recombinant inbred line population developed from PDW 233 × Bhalegaon 4 cross was analyzed in five environments to understand the genetic network responsible for test weight (TW), thousand kernel weight (TKW), grain yield (YLD), spike length (SL), spikelets per spike (SPS), kernels per spike (KER) and kernel weight per spike (KWS). Genotype, environment and their interactions were main sources of variance for all the traits. TW and TKW were influenced by 11 main effect QTL and 6 digenic epistatic interactions detected on chromosomes 2A, 2B, 4B and 7A. Grain yield was influenced by three epistatic interactions and five main effect QTL, of which two on chromosome 2A were most consistent. A major QTL for spike length was observed on chromosome 3B. QTL for spike characters were distributed over 9 chromosomes. All the traits showed significant influence of digenic epistasis (QQ) and, to a certain extent, QTL × environment interactions (QQE). Therefore, while breeding for complex traits like kernel characters and grain yield components, these interactions should also be considered important. The consistent QTL on chromosome 2A between the marker interval Xgwm71.2–Xubc835.4 with pleiotropic effect on TW and TKW, may be utilized in early generation selection to improve TW and TKW and thereby the milling potential of the durum wheat.     

Genetic diversity and association mapping of agronomic yield traits in eighty six synthetic hexaploid wheat

Association mapping is a method to identify associations between target traits and genetic markers based on linkage disequilibrium (LD) of a quantitative trait locus. Synthetic hexaploid wheat (SHW) is derived from a cross between Triticum durum Desf. and Aegilops tauschii Coss. that enhances genetic diversity and broadens breeding resources. In this study, phenotypic diversity in 110 wheat accessions (86 SHW germplasm specimens and 24 conventional wheat varieties) was evaluated quantitatively for yield characteristics of grains per spike, thousand kernel weight, and spike length. Phenotypic data were collected over two years at two locations, and 1785 alleles were detected (mean 6.59), ranging from 3 to 11 alleles per locus. The average genetic diversity index was 0.749, with a range from 0.239 to 0.923. The polymorphic information content (PIC) ranged from 0.145 to 0.968, with a mean value of 0.695. The genetic diversity index and PIC indicated that genome B > D > A. Accessions were grouped into three subgroups based on STRUCTURE and unweighted pair-group with arithmetic mean clustering. The mean LD decay across the genome was 11.78 cM. Association mapping between traits and simple sequence repeat markers was performed using the generalized linear model approach. Forty-six SSR loci were significantly associated with the measured agronomic traits in two geographic locations. Together, these results broaden our knowledge of how to harness elite genes and genetic diversity in SHW in genomic and marker-assisted selection.     

青稞遗传多样性及其农艺性状与SSR标记的关联分析

利用92个SSR标记对108份青稞亲本材料进行多态性扫描,分析其遗传多样性,旨在寻找与农艺性状相关联的分子标记,为青稞杂交组合的配制及分子标记辅助育种提供依据。挑选48个多态性标记进行群体遗传结构分析,在此基础上采用Tassel 2.1 GLM (general linear model)和MLM (mixed linear model)方法进行标记与农艺性状的关联分析。共检测出156个等位变异,每个位点2~6个等位变异。供试群体的Shannon指数为0.6727~1.1368,材料间遗传相似系数为0.2250~1.0000,平均0.7585。通过群体遗传结构分析将供试材料划分成4个亚群。以GLM分析,发现12个与株高、穗长、穗粒数和分蘖数相关联的标记,对表型变异的解释率分别为11.5%~17.6%、19.4%~45.4%、15.4%~22.1%和29.2%;以MLM分析,发现8个与株高、分蘖数和小穗数相关的标记,各标记对表型变异的解释率分别为31.7%~49.8%、28.1%~37.2%、22.7%~32.7%。关联标记分布在基因组全部6个连锁群上。     

Association Analysis of Agronomic and Yield-Related Traits in an Upland Cotton (Gossypium hirsutum L.) Germplasm Population Based on SSR Markers

[Objective] Molecular markers associated with agronomic and yield-related traits could provide useful references for improving the efficiency of Gossypium hirsutum breeding. [Method] In 147 upland cotton materials, 237 Simple Sequence Repeat(SSR) markers were assayed for polymorphisms. The population structure was analyzed using Structure 2.2. An association analysis between SSR markers and the agronomic and yield-related traits was performed using the Tassel 2.1 General Linear Model program. [Result] The average coefficients of variation for the five indicators varied from 7.28% to 21.06%, with an average of 13.47%, which indicated that the test population had a rich phenotypic diversity. The 237 SSR markers included 690 alleles belonging to 281 loci, with an average of 2.455 0 alleles per SSR marker (ranging from 2 to 6), and the average polymorphism information content value was 0.216 5. The test group could be divided into seven subgroups using Structure software. A genome-wide association analysis was conducted on five agronomic and yield-related traits from 2013 to 2015. There were 45 SSR loci and 1 locus significantly (P＜0.01) associated with boll weight and lint percentage, which were detected in 3 or more environments, and they explained 19.30% and 11.58%, respectively, of the phenotypic variation in the different environments (P＜0.01). Nine loci were significantly (P＜0.01) associated with agronomic traits at two or more bowing times, and one, four and four markers were associated with fruit branch number, boll number and plant height, explaining 9.96%, 7.00% and 5.57%, respectively, of the phenotypic variation in different environments. Sites significantly associated with boll weight, fruit branch number and plant height were simultaneously detected near BNL2448. [Conclusion] Many loci associated with the yield and other important agronomic traits of upland cotton were repeatedly detected in different environments using an association analysis. The results provide useful reference information for cotton molecular marker-assisted selection-based breeding.     

西藏三联小穗小麦中三联小穗性状控制基因的SSR分子标记定位

西藏三联小穗小麦是中国西藏地区一种独特的小麦地方品种,拥有特殊的三联小穗性状,超多的小穗数和小花数。分子定位控制三联小穗基因的基因座,发掘与之紧密连锁的分子标记,可为小麦高产育种提供分子标记辅助选择工具。本研究利用西藏三联小穗小麦的衍生系TTSW-5与普通穗型小麦,间3和川麦55,分别构建F2群体,成熟后进行穗部性状的表型分析和SSR基因型鉴定。性状表型遗传分析表明,西藏三联小穗小麦的三联小穗性状由两个独立遗传的隐性基因控制;通过SSR标记鉴定来自TTSW-5/间3组合的F2群体,在2A染色体上检测到1个与三联小穗性状相关的QTL,定位于SSR标记Xgwm275和Xgwm122之间,两标记间的遗传距离为6.6cM,该QTL的LOD值为6.19,可解释的表型变异值为33.1%,初步命名为qTS2A-1。我们推测qTS2A-1可能是控制三联小穗性状相关的主效QTL,SSR标记Xgwm275和Xgwm122可能可用于三联小穗性状的辅助选择。     

Mapping genes for grain protein concentration and grain yield on chromosome 5B of Triticum turgidum (L.) var. dicoccoides

Grain protein concentration (GPC) is an important quality factor in durum wheat [Triticum turgidum (L.) var. durum]. Due to the strong environmental influence on GPC, molecular markers linked to quantitative trait loci (QTL) affecting GPC have the potential to be valuable in wheat breeding programs. Various quantitative traits in a population of 133 recombinant inbred chromosome lines were studied in replicated trials at three locations in North Dakota. Segregation for GPC, 1000-kernel weight, gluten strength, heading date, and plant height was observed. By relating phenotypic data to a linkage map obtained from the same population, three QTL affecting GPC, and one affecting yield were identified. The genotypic coefficients of determination for both traits were high.     

Allelic composition and associated quality traits of the <Emphasis Type="Italic">Glu-1</Emphasis> and <Emphasis Type="Italic">Glu-3</Emphasis> loci in selected modern Ethiopian durum wheat varieties

Gluten protein determines the processing quality of both durum wheat and bread wheat. The glutenin subunits compositions and associated quality traits of 20 Ethiopian durum wheat varieties were systematically analyzed using SDS-PAGE and Payne numbers. A total of 16 glutenin patterns were identified. At the Glu-A1 locus, all varieties scored the null allele. The predominant glutenin alleles at the Glu-B1 locus were Glu-B1b (7+8) and Glu-B1e (20). In Glu-3, the most abundant glutenin subunits were Glu-A3a and Glu-B3c. Based on the Payne scores, the varieties Yerer, Ginchi, Candate, and Foka were identified to have allelic composition suitable for pasta making. The cluster analysis using agglomerative hierarchical clustering (AHC) method classified the varieties into four similarity classes. Based on the findings of this experiment, suggestions were made for allelic composition improvement through introgression of superior alleles from known Glu-1 and Glu-3 sources.     

Allelic changes in bread wheat cultivars were associated with long-term wheat trait improvements

Genetic impacts under selective breeding of agricultural crops have been frequently investigated with molecular tools, but inadequate attention has been paid to assess genetic changes under long-term genetic improvement of plant traits. Here we analyzed allelic changes with respect to wheat trait improvement in 78 Canadian hard red spring wheat cultivars released from 1845 to 2004 and screened with 370 mapped SSR markers. The improvements in quality, maturity, yield, disease, stem rust, leaf rust, sawfly resistance, and agronomy were considered. A total of 154 (out of 370) loci with significant allelic changes across 21 chromosomes were detected in the 78 wheat cultivars separated into improved versus non-improved groups for eight traits. The number of significant loci for improving a trait ranged from four for quality to 68 for yield and averaged 35. Many more loci with significant allelic reduction for improving a trait were detected than those with significant allelic increase. Selection for early maturity introduced more alleles, but improving the other traits purged more alleles. Significantly lower numbers of unique alleles were found in the cultivars with improved traits. The distributions of unique allele counts also varied greatly across the 21 chromosomes with respect to trait improvement. Significant SSR variation between two cultivar groups was observed for improvement in seven traits, but not in stem rust. The proportional SSR variation residing between two groups ranged from 0.014 to 0.118. The proportional SSR variations within the improved cultivar groups consistently were much lower than those within the non-improved groups. These findings clearly demonstrate the association between allelic changes and wheat trait improvements and are useful for understanding the genetic modification of the wheat genome by long-term wheat breeding.     

Genetics of Fe,Zn, β-carotene,GPC and yield traits in bread wheat (<Emphasis Type="Italic">Triticum aestivum</Emphasis> L.) using multi-locus and multi-traits GWAS

The present study was conducted to study the genetic architecture of grain micronutrients (Zn, Fe and β-carotene contents), grain protein content and four yield traits in a spring wheat reference set comprising 246 genotypes. Phenotypic data on these traits recorded at two locations and the genotyping data for 17,937 SNP markers (obtained through outsourcing) were used for genome wide association study, which gave following results after Bonferroni correction using four methods: (1) single locus single trait analysis gave 136 marker-trait associations; (2) multi-locus mixed model gave 587 MTAs; (3) multi-trait mixed model gave 28 MTAs and (4) matrix-variate linear mixed model gave 33 MTAs. As many as 73 epistatic interactions were also detected. Keeping all the results in mind, nine most important MTAs were selected for biofortification. These markers were associated with three traits (GPC, GFeC and GYPP). These MTAs can be used in wheat improvement programs either using marker-assisted recurrent selection or pseudo-backcrossing method.     

软质小麦溶剂保持力关联分析

溶剂保持力(SRC)是软质小麦鉴定评价的重要指标。为获得与SRC关联的分子标记,提高育种效率,对不同硬度类型的176份品种的乳酸SRC、碳酸钠SRC、蔗糖SRC和水SRC进行SSR标记检测,并结合其在江苏里下河地区连续3个生长季的4种SRC表型数据,利用MLM模型进行了关联分析。以236对SSR引物共检测出1340个等位变异,平均每个位点5.5个等位变异,平均PIC值为0.4663。共检测到28个关联位点(P0.005),单个位点可解释3.19%~21.84%的表型变异;与乳酸SRC、水SRC、蔗糖SRC和碳酸钠SRC相关联的位点分别为13、7、6和2个;与水SRC关联的gwm642-1D在3年中均被检测到。在这些关联位点上发现有利等位变异,其中降低水SRC的等位变异有gwm642-A186、gwm642-A188和gwm337-A178,降低蔗糖SRC的等位变异有gwm337-A178和gwm337-A186,降低碳酸钠SRC的等位变异有cfa2257-A129等。这些结果为利用分子标记进行SRC辅助选择提供了重要信息。     

Combining frost tolerance,high grain yield and good pasta quality in durum wheat

Growing in Central Europe winter instead of spring durum wheat would substantially increase yield potential but is currently hampered by the lack of knowledge of frost tolerance present in elite material. The objectives of our survey were to (i) study the genetic variability and heritability of frost tolerance and its association with other important agronomic and quality traits in durum wheat, (ii) examine the potential to combine frost tolerance with high quality and high grain yield and (iii) investigate the consequences of the heritabilities and associations among traits on the optimum design of a multistage selection programme for winter durum wheat. We investigated 101 elite winter durum wheat lines and four commercial checks in field trials at four locations. Four agronomic as well as nine quality traits were recorded. In addition, frost tolerance was evaluated using a semi‐controlled test resulting in high‐quality phenotypic data. Genotypic variances (σ²_G) were significantly larger than zero for all traits, and heritabilities were moderate to high. Several elite durum wheat lines exhibited a frost tolerance comparable to that of two frost‐tolerant Triticum aestivum varieties. Frost tolerance was not negatively associated with other important agronomic and quality traits. The high quality of the phenotypic data for frost tolerance evaluated in a semi‐controlled test suggests that this is a cost‐efficient approach to consider frost tolerance at early stages of a multistage durum wheat breeding programme.     

The major quantitative trait locus for mungbean yellow mosaic Indian virus resistance is tightly linked in repulsion phase to the major bruchid resistance locus in a cross between mungbean [Vigna radiata (L.) Wilczek] and its wild relative Vigna radiata ssp. sublobata

Mungbean yellow mosaic Indian virus (MYMIV) and bruchid infestation are severe production constraints of mungbean in South Asia, a major global mungbean production area. Marker-assisted selection for resistance against these disorders while maintaining or even improving agronomic traits is an important step toward breeding elite mungbean varieties. This study employed recombinant inbred lines (F12) derived from a cross between MYMIV-tolerant Vigna radiata NM92 and bruchid-resistant V. radiata ssp. sublobata TC1966 to identify chromosomal locations associated with disease and insect pest resistance and seed traits. A linkage map comprising 11 linkage groups was constructed with random amplified polymorphic DNA (RAPD), sequence characterized amplified regions (SCAR), cleaved amplified polymorphic DNA (CAP), amplified fragment length polymorphism (AFLP) and simple sequence repeat (SSR) markers. Quantitative trait loci (QTLs) for MYMIV and bruchid resistance, 100 seed weight and seed germination rate were identified. Three major QTLs for MYMIV and one major bruchid resistance locus were mapped on LG 9. The resistance alleles were contributed by the MYMIV tolerant parent NM92 and the bruchid resistant parent TC1966 respectively. One of the MYMIV QTLs was tightly linked in repulsion phase to the bruchid resistance locus. In addition, three minor QTLs for MYMIV resistance were found, where the resistance alleles were contributed by TC1966. Lines combining MYMV resistance alleles from both parents have greater resistance to MYMIV than the tolerant parent. Two minor bruchid resistance QTLs were identified in TC1966. Furthermore, three QTLs each for 100 seed weight and germination rate were detected. The markers defining the QTLs identified in this study will be useful in marker-assisted breeding of improved mungbean varieties in the future.     

Association mapping of yield-related traits and SSR markers in wild soybean (Glycine soja Sieb. and Zucc.)

Wild soybean, the progenitor of cultivated soybean, is an important gene pool for ongoing soybean breeding efforts. To identify yield-enhancing quantitative trait locus (QTL) or gene from wild soybean, 113 wild soybeans accessions were phenotyped for five yield-related traits and genotyped with 85 simple sequence repeat (SSR) markers to conduct association mapping. A total of 892 alleles were detected for the 85 SSR markers, with an average 10.49 alleles; the corresponding PIC values ranged from 0.07 to 0.92, with an average 0.73. The genetic diversity of each SSR marker ranged from 0.07 to 0.93, with an average 0.75. A total of 18 SSR markers were identified for the five traits. Two SSR markers, sct_010 and satt316, which are associated with the yield per plant were stably expressed over two years at two experimental locations. Our results suggested that association mapping can be an effective approach for identifying QTL from wild soybean.     

Genetic diversity,structure and fruit trait associations in Greek sweet cherry cultivars using microsatellite based (SSR/ISSR) and morpho-physiological markers

It is important to couple phenotypic analysis with genetic diversity for germplasm conservation in gene bank collections. The use of molecular markers supports the study of genetic marker-trait associations of biological and agronomic interest on diverse genetic material. In this report, 19 Greek traditional sweet cherry cultivars and two international cultivars, which were used as controls, were grown in Greece and characterized for 17 morpho-physiological traits, 15 simple sequence repeat (SSR) loci and 10 inter simple sequence repeat (ISSR) markers. To our knowledge, this is the first report on molecular genetic diversity studies in sweet cherry in Greece. Principal component analysis (PCA) of nine qualitative and eight quantitative morphological parameters explain over 77.33% of total variability in the first five axes. The SSR markers yielded a combined matching probability ratio (MPR) of 9.569 × e−12. The 15 SSR loci produced a total of 92 alleles. Ten ISSR primers generated 91 bands, with an average of 9.1 bands per primer. Expected heterozygosity (gene diversity) values of 15 SSR loci and 10 ISSR markers averaged at 0.683 and 0.369, respectively. Based on stepwise multiple regression analysis (MRA), SSR alleles were found associated with harvest time and fruit polar diameter. Furthermore, three ISSR markers were correlated with fruit harvest and soluble solids and four ISSR markers were correlated with fruit skin color. Stepwise MRA identified six SSR alleles associated with harvest time with a high correlation (P < 0.001), with linear associations with high F values. Hence, data analyzed by the use of MRA could be useful in marker-assisted breeding programs when no other genetic information is available.     

Mapping QTL for stay-green and agronomic traits in wheat under diverse water regimes

Wheat (Triticum aestivum L.) yield is directly proportional to physio-morphological traits. A high-density genetic map consisting of 2575 markers was used for mapping QTL controlling stay-green and agronomic traits in wheat grown under four diverse water regimes. A total of 108 additive QTL were identified in target traits. Among them, 28 QTL for chlorophyll content (CC) were detected on 11 chromosomes, 43 for normalized difference vegetation index (NDVI) on all chromosomes except 5B, 5D, and 7D, five for spikes per plant (NSP) on different chromosomes, nine for plant height (PH) on four chromosomes, and 23 for thousand-kernel weight (TKW) on 11 chromosomes. Considering all traits, the phenotypic variation explained (PVE) ranged from 3.61 to 41.62%. A major QTL, QNDVI.cgb-5A.7, for NDVI with a maximum PVE of 20.21%, was located on chromosome 5A. A stable and major PH QTL was observed on chromosome 4D with a PVE close to 40%. Most distances between QTL and corresponding flanking markers were less than 1 cM, and approximately one-third of the QTL coincided with markers. Each of 16 QTL clusters on 10 chromosomes controlled more than one trait and therefore could be regarded as pleiotropic regions in response to different water regimes. Forty-one epistatic QTL were identified for all traits having PVE of 6.00 to 25.07%. Validated QTL closely linked to flanking markers will be beneficial for marker-assisted selection in improving drought-tolerance in wheat.     

宁麦9号对其衍生品种的遗传贡献

宁麦9号是江苏省农业科学院选育的优质弱筋专用小麦品种,具有高产、稳产和广泛的适应性及抗小麦黄花叶病、赤霉病等特点,近年来已成为江苏淮南麦区小麦育种的重要亲本。为了解宁麦9号对新育成小麦品种的遗传贡献,利用170对SSR引物,对宁麦9号及其9个衍生品种进行全基因组扫描分析。共检测到471个等位变异位点,每对引物可检测1~6个,平均2.8个。UPGMA聚类分析表明,扬麦18与宁麦9号遗传距离最小,扬辐麦4与宁麦9号遗传距离最大。遗传相似系数表明,在人工选择的作用下,这些以宁麦9号为亲本育成品种的遗传背景一半以上来自宁麦9号。宁麦9号等位变异在其衍生材料中的分布比例因品种而异,且不同染色体间差异较大,但相同位点的等位变异比例在A、B、D染色体组间相近。全基因组SSR扫描分析发现,10个标记位点在宁麦9号和由其选育的9个新品种具有完全相同的扩增带型,其中9个位点与重要农艺性状相关,或与控制优良性状的基因紧密连锁。将宁麦9号与主要弱筋小麦生产品种宁麦13（宁麦9号系选）进行基因组比较,两者遗传相似系数达0.732,说明宁麦13与宁麦9号遗传背景高度相似,而且两品种在蛋白质含量和抗赤霉病位点相关标记位点高度一致,这一结果可以部分解释宁麦13同样具有的抗赤霉病与优质弱筋的优点。     

黄淮冬麦区175个小麦品种的SSR多态性及其与株高、产量相关性状的关联分析

为了解小麦品种资源的遗传多样性, 筛选株高、产量相关性状相关标记的等位变异, 选用108对覆盖小麦各同源染色体且多态性高的SSR引物, 对黄淮麦区175个小麦品种进行分析。共检测到448个等位变异, 平均每个标记4.15个等位变异, 变化范围为2~14个;全部SSR位点的多态性信息含量(PIC)变化范围为0.075~0.869, 平均为0.561。聚类分析显示同一地区或同一育种单位育成的、具有共同亲本的品种多数聚为一类。关联分析表明, 与株高、产量相关性状显著关联(P<0.01)的标记有23个, 其中3个标记达到极显著(P<0.001)水平。标记wmc128(1B)和wmc236(3B)与小穗数极显著相关, 分别解释小穗数变异的10.5%和8.0%;标记Xgwm129(2B)与千粒重达到极显著相关, 可以解释千粒重变异的19.3%。     

硬粒小麦品种八氢番茄红素合酶基因等位变异的分子检测

硬粒小麦籽粒中黄色素含量与硬粒小麦面制品的加工品质关系较为密切,研究控制小麦黄色素含量基因的等位变异、选育高黄色素含量品种是硬粒小麦品质育种的重要目标。以来自不同国家的177份硬粒小麦品种为材料,采用特异引物的PCR扩增技术,利用与黄色素含量有关的PSY基因功能性标记YP7A-2、YP7B-1、YP7B-2、YP7B-3、YP7B-4,分别对参试小麦品种中7A和7B染色体上Psy-A1和Psy-B1基因的等位变异类型进行了检测。结果表明,位于硬粒小麦7A染色体上的Psy-A1的变异类型较为单一,只有Psy-A1d和Psy-A1e两种类型,分布频率分别为76.8%和23.2%;而位于硬粒小麦7B染色体上的Psy-B1 的变异类型有6种,分别为Psy-B1b、Psy-B1c、Psy-B1d、Psy-B1e、Psy-B1f和Psy-B1g,分布频率分别为9.0%、0.6%、0.6%、6.8%、25.4%和57.6%。其中,Psy-B1b、Psy-B1c、Psy-B1d首次在硬粒小麦品种中被发现,这在一定程度上丰富了硬粒小麦品种Psy1基因多态性。有34个品种含有Psy-A1d/Psy-B1f、12个品种含有Psy-A1d/Psy-B1g和1个品种含有Psy-A1d/Psy-B1c的基因型组合,为高黄色素含量品种;有28个品种含有Psy-A1e/Psy-B1g和1个品种含有Psy-A1e/Psy-B1b基因型组合,为低黄色素含量品种。本研究结果为硬粒小麦品质育种提供了重要的材料资源。     

Genetic diversity of resistance genes controlling fusarium head blight with simple sequence repeat markers in thirty-six wheat accessions from east asian origin

Summary Fusarium head blight (FHB) is a serious disease of wheat worldwide that may cause substantial yield and quality losses. Breeding for FHB-resistant cultivars is the most cost-effective approach to control FHB. The objective of the present study was to determine the relationship of resistance between new resistant sources and Sumai 3 using five simple sequence repeat (SSR) markers closely linked to the major QTL for FHB resistance on chromosome arms 3BS and 6BS. All five SSR markers were highly polymorphic between Sumai 3 (and its derivatives) and susceptible Canadian wheat lines. Most of the Sumai 3-derived Chinese wheat accessions and three Canadian FHB-resistant lines had all the Sumai 3 SSR marker alleles on chromosome arms 3BS and 6BS. The Chinese landrace Wangshuibai and two Japanese accessions Nobeokabozu and Nyu Bai had the same banding patterns as Sumai 3 for all five SSR marker alleles, and another Chinese landrace Fangshanmai had three of the five SSR markers in common with Sumai 3, and therefore most likely carries the same QTL as Sumai 3 on 3BS and 6BS. The Brazilian cultivar Frontana had no alleles in common with Sumai 3 on either QTL, and the Chinese landrace Hongheshang had only one of the five SSR markers in common with Sumai 3, therefore likely carrying resistance genes different from Sumai 3. The Italian cultivar Funo is not the donor of either the 3BS QTL or 6BS QTL. All five SSR seem to be effective candidates for marker-assisted selection to increase the level of resistance to FHB in wheat breeding programs.