Phenotypic variation in local populations and cultivars of meadow fescue – potential for improving cultivars by utilizing wild germplasm

The utilization of gene bank accessions for breeding purposes is generally hampered by a lack of sufficient genetic and phenotypic characterization. Results are given here of a phenotypic analysis of 30 Norwegian local populations and 10 Nordic cultivars of meadow fescue, and a combined analysis of phenotypic data with previously published molecular data based on 95 amplified fragment length polymorphic markers. Seventeen phenological and morphological, and two derived characters, were assessed on 2264 individual plants. Previous molecular diversity analyses have shown that the Norwegian local populations can be divided into three groups based on a likely history of the introduction of the species into Norway. A similar pattern was evident from relationships between the mean phenotypic values of populations and cultivars. Such a combined phenotypic and genetic characterization of germplasm can facilitate the use of gene bank material in breeding, as breeders can use these data to select populations with extreme values of a field trait, along with markers which represent potential predictors of phenotypic value.     

显性核不育油菜圆叶纯合两型系Gd1AB的选育

采用杂交、兄妹交和自交等育种手段，育成园叶显性纯合两型系Gd1AB。利用该两型系与花叶临保系进行全不育系制种，圆叶可作为苗期育性的指示性状，能有效地区别纯合两型系内可育株迟拔或漏拔而产生的杂株，从而提高全不育系的纯度。     

增广NC Ⅱ设计和遗传模型测验

本文提出的增广 NCⅡ 设计,是指在 NCⅡ 设计含 f×m 个杂交组合的基础上、再添加 f+m 个纯系亲本的遗传交配设计。这一设计可对被研究性状的合适遗传模型(即加性,加性-显性,或加性-显性-上位性)作出统计选择;同时,还能对雌、雄亲的有关基因频率的同质性进行统计测验。文中推导了上述统计处理的遗传学依据,并以陆地棉的一个籽     

小麦蛋白质含量分子标记辅助选择的效果分析

对小麦回交后代的蛋白质含量进行了分子标记辅助选择研究。先对2个与蛋白质含量相关的Xgwm570和E41M62-168标记进行验证,表明其与蛋白质含量密切相关。再通过表型选择、分子标记辅助选择(MASBC2)和不加选择(RNDBC2)产生的BC2中,蛋白质含量的平均值和群体中蛋白质含量高于16.5%的植株比例在PHEBC2和MASBC2之间没有显著差异,但均显著高于RNDBC2。对群体中的植株按两分子标记的类型分为A(2个位点)、B(1个位点)和C(无)3大类,蛋白质含量的平均值和植株中蛋白质含量高于16.5%的比例从高到低的排列顺序为:A类植株>B类植株>C类植株。由此看来,利用分子标记辅助选择来培育高蛋白质含量小麦是十分有效的方法。     

The effect of accidental selfing on the analysis of a diallel cross with sugar cane

Summary The diallel cross was found to be an unsuitable design for quantitative genetic analyses with sugar cane.Accidental selfing caused substantial inbreeding depression for most characters. Consequently, analysis of a diallel cross without regard to the effect of accidental selfing would be subject to bias, if accidental selfing were common. A selfing model proposed by Dudley (1963) was extended to include differential selfing, and was tested in an experiment in which the percentage of selfing in each cross was estimated visually.Variance components had large standard errors, which prevented firm conclusions from being drawn, but selfing appeared to cause substantial bias in the estimates. Estimates of genetic variance components from a p(p-1) diallel set, using the extended selfing model, were compared with estimates obtained from the standard analyses in which reciprocal or maternal effects should account for the effect of selfing. The estimates were comparable, but the standard analyses were simpler and produced estimates with lower standard errors.When the effects of selfing were minimized, general combining ability (g.c.a.) effects appeared to be much more important than specific combining ability (s.c.a.) effects for most characters.     

Winter curing of <Emphasis Type="Italic">Prunus dulcis</Emphasis> cv ‘Butte,’ <Emphasis Type="Italic">P. webbii</Emphasis> and their interspecific hybrid in response to <Emphasis Type="Italic">Xylella fastidiosa</Emphasis> infections

In traditional quantitative genetics, additive effects of genes acting in a population of biparental homozygous lines are estimated on the basis of the phenotypic observations only, usually by taking a difference between mean values for extreme lines. Current molecular methods allow to estimate the additive effects by additionally taking into account the marker data. In this paper we compare these two methods of estimation of additive gene action effects analytically, by simulations and by analysis of real data sets for doubled haploid lines and recombinant inbred lines. The analytic comparison shows under which conditions an agreement of the two methods can be achieved. In most of the considered experimental data and in simulations we observe that the additive effect calculated on the basis of the marker observations is smaller than the total additive effect obtained from phenotypic observations only. This result is discussed, and a weighted regression approach is proposed as a method which can close the gap between the purely phenotypic and genotypic approaches.     

Inheritance of groat-oil content and high-oil selection in oats (Avena sativa L.)

Summary The potential for breeding for high groat-oil content in oats was investigated by (a) conducting generation means analyses on data from three matings among adapted Avena sativa L. cultivars, (b) practicing one cycle of phenotypic recurrent selection in a segregating population derived from eight species backcrosses (Avena sativa x (A. sativa x A. sterilis)) among 24 parents, and (c) identifying transgressive segregates from interspecific (A. sativa x A. sterilis) matings.Additive gene action was the most important component in explaining the variation among generation means for groat-oil content. Dominance and epistatic interactions involving dominance were not significant in any mating. Significant residual genetic variation occurred in one mating, even after additive, dominance, and three digenic interactions were fitted. The importance of additive genes action implies that desired allelic combinations for high groat-oil content can be obtained in pure-line cultivars.One cycle of phenotypic recurrent selection using single plants as the selection units resulted in a genetic gain of 1.7 to 2.1% in groat-oil content. Individual plants selected for initiating the second cycle had from 9.5 to 12.6% groat oil.Over all 12 interspecific matings, the F₂ progeny means were similar to the midparent values. Only two were significantly deviant. Transgressive segregates for high and low groat-oil content from these matings provided evidence that A. sterilis possesses alleles for high and low groat-oil content that are different from those in the gene pool of cultivated oats.Journal Paper No. J-11340 of the Iowa Agric. and Home ECon. Exp. Stn., Ames, Iowa 50011. Project 2447. This study was supported in parts by grants from the Iowa Committee for Agricultural Development and the International Harvester Company.     

Selection response under random mating and under selfing in the progeny of a cross of homozygous parents

Summary Response to individual selection under random mating and under selfing in the progeny of a cross of homozygous parents is studied by means of computer simulation. The effects of environmental variation, the number of loci involved and the degree of linkage are described. The results predict that the short term effect of intermating is negligable in general. In the long run, random mating is superior to selfing, expecially when many loci are involved.     

基于高密度遗传图谱的玉米籽粒性状QTL定位

籽粒大小及百粒重是决定玉米产量的重要因素。为解析籽粒性状遗传基础,本研究以玉米自交系黄早四(HZS)和Mo17为亲本,构建包含130个重组自交系(recombination inbred line,RIL)的RIL群体。基于GBS(genotypingby-sequencing)技术获得的高密度多态性SNP(single nucleotide polymorphism)位点,构建了包含1262个Bin标记的高密度遗传图谱。采用完备区间作图法,对5个环境条件下的粒长、粒宽、百粒重、粒长/粒宽4个性状分别进行QTL(quantitative trait locus)定位,共检测到30个QTL。利用5个环境性状均值,共检测到11个QTL。其中粒长主效QTL qklen1、粒长/粒宽主效QTL qklw1在3个单环境条件下均被检测到,且定位在第1染色体相邻区域,物理位置分别为210~212 Mb、207~208 Mb,表型贡献率分别为22.60%和26.79%,被认为是控制玉米籽粒形状的主效位点。针对第1染色体207~212 Mb区间,采用成组法t检验,对黄早四(受体)和Mo17(供体)构建的BC3F1回交群体进行单标记分析。结果表明,在BC3F1群体中qklen1和qklw1同样具有显著的遗传效应。本研究结果不仅为分子标记辅助选择籽粒性状提供了实用标记,而且为主效基因的进一步精细定位和候选基因挖掘奠定了基础。     

Molecular markers for yield components in Brassica juncea – do these assist in breeding for high seed yield?

A population of 112 F₁-derived doubled haploid lines was produced from a reciprocal cross of Brassica juncea. The parents differed for seed quality, seed color and many agronomic traits. A detailed RFLP linkage map of this population, comprising 316 loci, had been constructed, and was used to map quantitative trait loci (QTL) for seed yield and yield components, viz. siliqua length, number of seeds per siliqua, number of siliques per main raceme and 1000-seed weight. Stable and significant QTLs were identified for all these yield components except seed yield. For yield components, a selection index based on combined phenotypic and molecular data (QTL effects) could double up the efficiency of selection compared to the expected genetic advance by phenotypic selection. Selection indices for high seed yield, based on the phenotypic data of yield and yield components, could only improve the efficiency of selection by 4% of the genetic advance that can be expected from direct phenotypic selection for yield alone. Inclusion of molecular data together with the phenotypic data of yield components in the selection indices did not improve the efficiency of selection for higher seed yield. This is probably due to often negative relationships among the yield components. Most of the QTLs for yield components were compensating each other, probably due to linkage, pleiotropy or developmentally induced relationships among them. The breeding strategy for B. juncea and challenges to marker assisted selection are discussed.     

Variation in effective pollination rates in relation to the spatial and temporal distribution of pollen release in rejuvenated perennial ryegrass

Genebank accessions stored as seed populations require periodic rejuvenation in order to maintain sufficient numbers of viable seeds. During rejuvenation the genetic composition of accessions may be altered for a variety of reasons, of which variation in pollination rates between plants is the least understood. In the present study, a paternity exclusion analysis was performed on a rejuvenated accession of perennial ryegrass. In addition, flowering data of the 49 parental plants were collected during the flowering season. The aim of the study was to determine how accurate variation in pollination rates between plants can be predicted from data on the spatial and temporal distribution of pollen release. The parental population and a total of 551 offspring from 12 progeny arrays were genotyped by means of molecular analysis. Using 25 microsatellites, paternity was identified for 81.9% of the offspring, while remaining ambiguities were resolved by AFLP analysis, except in four cases. Within the total sample 9 cases of contamination were observed. Mating within the study population was clearly non-random, as 61.9% of the identified pollen donors were located within 1 m distance from the mother plant. Observed pollination rates were very well described by an inverse quadratic function of inter-plant distance between potential mating pairs. Incorporation of the recorded flowering data in the calculation of expected pollination rates improved the goodness of fit with observed values by only 0.77%. Suggestions to reduce the variance in paternal contributions were presented. However, contamination was considered more threatening to the genetic integrity of perennial ryegrass germplasm than variation in pollination rates between plants, and indicated the need for improved measures to avoid gene flow from other germplasm.     

Estimation of genetic parameters and prediction of breeding values in an autotetraploid blueberry breeding population with extensive pedigree data

The strategy for breeding blueberries has been based on phenotypic selection without accounting for pedigree correlation information. A central premise of classical quantitative genetics is that through knowledge of the relationships among individuals in a population, we can make inferences about breeding values (BVs), estimate genetic parameters, and support phenotypic selection. Genetic evaluations using best linear unbiased prediction (BLUP) and restricted maximum likelihood (REML) are founded on pedigree information and have been the standard method used in livestock and forest breeding. Despite theoretical and practical benefits, their application in blueberry breeding programs remains unexploited. The objective of this study was to evaluate the use of REML/BLUP in the University of Florida blueberry breeding program in order to estimate genetic parameters and predict BVs of primary selection traits. To do this, we collected phenotypic data for eight selectable traits (yield, flower bud density, fruit weight, fruit firmness, fruit diameter, fruit soluble solids, fruit pH, and fruit scar diameter) from 1996 individuals. The highest narrow-sense heritabilities were found for fruit weight, scar diameter, and yield. The majority of genetic correlations between traits were under 0.20. The largest genetic gain was achieved when selections from early stages were used as parents and the top 5% of the population was selected. Compared to traditional phenotypic selection, our results are evidencing of the importance of implementing REML/BLUP to estimate genetic parameters that help and support the breeding strategy and maximize genetic gains.     

Identification of near-isogenic lines: an innovative approach,validated for root and shoot morphological characters in a mapping population of rice (<Emphasis Type="Italic">Oryza sativa</Emphasis> L.)

Near-isogenic lines (NILs) constitute valuable tools in genetic investigations and plant breeding programs. Conventional methods for developing these are time consuming and tedious. An innovative method for identifying NILs is proposed and validated. The method involves computation of simple correlation coefficients of all possible pairs of genotypes within a mapping population using molecular marker data, and phenotypic characterization of those pairs with very high positive correlation. The pairs having both genomic and phenotypic similarity except for a single trait are considered as NILs. This strategy was tested with a doubled haploid mapping population involving CT9993 and IR62266. This population was saturated with 315 markers and comprised 154 lines. The pairs showing very high correlation coefficients (0.70–0.97) and differing for less than 10% of the markers were considered as Genotypically Closely Related Pairs (GCRPs). Graphical genotyping was employed to visualize the genome of the closely related lines. A total of 39 such pairs were subjected to rigorous evaluation for root and shoot morphological traits in two contrasting moisture regimes. Four GCRPs under well-watered condition and ten GCRPs under low moisture stress condition are statistically significant for a single phenotypic trait and are considered as NILs for their respective traits and would be the valuable materials for genetic studies. Mapped QTLs and candidate genes were employed to explain the probable cause of phenotypic difference in NILs.     

Genetic Diversity and Association Analysis of Fiber Quality Traits with SSR Markers in Germplasm Resources of Early Maturity Upland Cotton in Xinjiang

[Objective] We explored the genetic diversity of early maturity upland cotton germplasm resources in Xinjiang, China. We discovered specific germplasm resources and elite allelic variation related to fiber quality. [Method] We used 219 early maturity upland cotton accessions in our experiments and investigated 15 agronomic traits in three environments. We used a total of 128 pairs of simple sequence repeat (SSR) primers to scan for polymorphism. We then used NTsys-pc2.1 software to analyze genetic diversity, and Structure2.3.1 and Tassle5.0 software to perform association analysis of fiber quality traits based on phenotypic effect values to identify elite allele variation and conventional materials. [Result] A total of 244 loci were amplified by 128 marker pairs in 219 samples with an average of 1.91 loci per marker. The polymorphic information content ranged from 0.13 to 0.86 with an average of 0.63. The distribution range of the genetic similarity coefficient between materials in this population was 0.42-0.99 with an average of 0.61. The genetic similarity coefficient was between 0.5 and 0.7 and accounted for 90.19%. Through association analysis, we detected 11 markers that were significantly (P<0.01) associated with fiber quality traits, and discovered seven typical materials with specific allele. [Conclusion] In total, 219 Xinjiang early-maturing upland cotton germplasm resources have low genetic diversity. Based on SSR association analysis, we discovered some specific allele variations and conventional materials related to fiber quality traits.     

烤烟易烤性QTL定位分析

利用易烤性好的烤烟品种云烟85和易烤性差的烤烟品种大白筋599杂交所得到的F2群体为作图群体,借助SSR分子标记技术,在群体中共获得91个多态性标记,利用Mapmaker3.0作图软件,构建了一个含17个连锁群、75个标记的烤烟遗传连锁图。利用该图谱和易烤性表型数据,通过复合区间作图法进行QTL检测,共检测到与易烤性相关的4个QTL,分别位于1、8、9连锁群上,可解释的表型变异分别为9.26%、8.87%、7.57%和7.83%。4个QTL的加性效应值均为正值,说明易烤性增加的效应均来自母本云烟85。     

陆地棉抗旱性与SSR分子标记的关联分析

【目的】了解陆地棉抗旱性和寻找与陆地棉抗旱性相关的分子标记,挖掘与抗旱性状相关的优异等位变异。【方法】以191份陆地棉栽培种组成的自然群体为材料,在萌发期采用质量分数为15%的PEG6000竖直滤纸法对191份材料进行胁迫处理,测定其发芽率。根据隶属函数值对萌发期抗旱性划分抗旱级别。利用关联分析的方法以74对SSR引物对该自然群体进行基因组变异扫描。在利用Structure 2.3.4分析该自然群体的遗传结构的基础上,使用Tassel 2.0的GLM模型将基因型数据与萌发期抗旱性状进行关联分析,寻找与抗旱性状相关的分子标记。【结果】筛选出强抗旱材料46份,中等抗旱材料59份,干旱敏感材料86份;群体结构分析将191份材料划分为2个亚群,分别包含123份和68份材料;通过关联分析获得与陆地棉萌发期抗旱性显著相关的分子标记15个,各位点对表型变异解释率为2.2%~7.49%。【结论】本研究筛选出强抗旱材料46份,获得与萌发期抗旱性相关的分子标记15个,可供棉花抗旱标记辅助选择育种利用。     

黄瓜种质资源形态学标记和SRAP标记的遗传多样性分析

旨在探索黄瓜种质资源的遗传多样性,为今后黄瓜选育优良品种提供可靠依据。以48份黄瓜种质资源为材料,用DPS软件对各品种的13个表型性状进行聚类分析,同时利用SRAP分子标记对其进行遗传多样性研究。结果表明:根据果实性状等形态学标记聚类分析得出,在阈值75.0处,可以将48份黄瓜种质资源分成5大类群。利用UPGMA法对SRAP分子标记结果聚类分析发现,黄瓜种质间的遗传相似系数在0.52~0.93之间,在遗传相似系数为0.64处,可以将其分成5大类群,形态学标记和SRAP分子标记的聚类结果存在较大差异。由此可见,SRAP分子标记较形态学标记能更好地分析品种间亲缘关系的远近,对黄瓜遗传多样性研究更具指导意义。     

Combining ability analysis and correlation between breeding values in true potato seed

True potato seed (TPS) requires the selection of appropriate parents for developing hybrid offspring. Parents for routine crossing schemes need to be selected according to their combining ability. Hierarchical and factorial mating designs provide a mean values to assess the general combining ability (GCA) of clones included in crossing schemes. Furthermore, specific combining ability (SCA) may be investigated using the factorial mating design. The aim of this research was to determine the combining ability of clones included in early and intermediate TPS breeding populations developed by the Centro Internacional de la Papa (CIP). Likewise, correlations between breeding values (or additive genetic correlation, p_A) were calculated. Two hierarchical mating designs (in both the early and intermediate populations) and one factorial mating design (in the intermediate population) were evaluated in two contrasting Peruvian locations (La Molina ‐ coastal desert, and San Ramon, warm humid tropics). Plant and tuber characteristics were recorded in these experiments. Significant GCA was observed for tuber yield in all experiments. The male's p_A between plant vigour after transplanting and tuber yield was significant, thereby suggesting that offspring with early vigorous growth are high yielding. Plant vigour was also correlated with tuber set, but only among the breeding value of female parents, which suggests that high tuber yield could be achieved because offspring with early, vigorous growth have many tubers. High tuber yielding hybrids can be obtained by choosing parents with significant GCA, whose tuber yield can also be further enhanced if the crosses have a significant SCA.     

鲜食番茄茄红素基因的AFLP-SCAR分子标记

番茄红素(Lycopene)是功能性天然色素,因其高抗氧化功能而备受关注.为筛选高番茄红素品种,加速鲜食番茄分子标记辅助育种进程,本试验以高茄红素番茄骨干系F-516F8和低茄红素骨干系Nor作为试验材料,研究了鲜食番茄高茄红素基因的AFLP-SCAR分子标记.利用杂交F1代、自交F2代遗传群体,通过64对E/M引物组...     

基于SNP和InDel标记的巴西木薯遗传多样性与群体遗传结构分析

为了对巴西木薯种质资源进行遗传多样性、亲缘关系和群体遗传结构分析,本研究利用了7946个SNPs和1997个InDels分子标记,通过ADMIXTURE软件进行群体结构分析、GCTA软件进行主成分分析。结果显示,巴西木薯被划分为9个亚群。这与利用PHYLIP进行的聚类分析结果大概一致,其中亚群1、亚群2、亚群4、亚群6和亚群8能较好地分别聚在一起,而其他亚群中的样品大致能聚在一起,且样品间有一定的交叉。巴西木薯种质资源遗传多样性指数(0.274)高于中国、尼日利亚等,其中巴西木薯亚群5具有相对较高的遗传多样性水平(0.29)。巴西木薯各亚群的群体遗传分化程度较低(群体分化指数在0.03~0.15之间),但高于中国木薯种质资源的群体分化指数。各木薯材料间的遗传距离变幅为0.084~0.297,平均遗传距离为0.228。本研究结果可为后续关联分析发掘优良等位基因及引种提供依据。