Quantitative trait loci mapping for yield-related traits under low and high planting densities in maize (Zea mays)

Average maize yield per hectare has increased significantly because of the improvement in high-density tolerance, but little attention has been paid to the genetic mechanism of grain yield response to high planting density. Here, we used a population of 301 recombinant inbred lines (RILs) derived from the cross YE478 × 08–641 to detect quantitative trait loci (QTLs) for 16 yield-related traits under two planting densities (57,000 and 114,000 plants per ha) across four environments. These yield-related traits responded differently to high-density stress. A total of 110 QTLs were observed for these traits: 33 QTLs only under low planting density, 50 QTLs under high planting density and 27 QTLs across both densities. Only two major QTLs, qCD6 and qWKEL2-2, were identified across low- and high-density treatments. Seven environmentally stable QTLs were also observed containing qED6, qWKEL3, qRN3-3, qRN7-2, qRN9-2 and qRN10 across both densities, as well as qRN9-1 under low density. In addition, 16 and eight pairs of loci with epistasis interaction (EPI) were detected under low and high planting densities, respectively. Additionally, nine and 17 loci showed QTL × environment interaction (QEI) under low- and high-density conditions, respectively. These interactions are of lesser importance than the main QTL effects. We also observed 26 pleiotropic QTL clusters, and the hotspot region 3.08 concentrated nine QTLs, suggesting its great importance for maize yield. These findings suggested that multiple minor QTLs, loci with EPI and QEI, pleiotropy and the complex network of “crosstalk” among them for yield-related traits were greatly influenced by plant density, which increases our understanding of the genetic mechanism of yield-related traits for high-density tolerance.     

Construction and evaluation of introgression lines and fine mapping of ehd8 from Jinghong common wild rice (Oryza rufipogon)

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.     

不同海拔生态区移栽唐古特大黄株系性状表现

为探究唐古特大黄移栽到不同海拔区域后的性状表现，确定合理的种植海拔，同时对唐古特大黄进行品种选优的初期筛选。选用唐古特大黄10个株系温室育苗移栽到青海5个不同海拔生态区进行适应性研究，利用灰色关联分析法确定10个株系植株的综合表现排名。结果表明，海拔对移栽第1年的株高、叶片数、最大叶叶长、最大叶叶宽、最大叶叶柄长、产生叶裂程度、最大叶叶裂长、最大叶叶裂宽、根茎长、根茎数、根茎粗、根茎鲜质量、根茎鲜质量产量有极显著影响（P＜0.01），表现为随海拔升高各项指标极显著降低；10个株系中较优株系为L2、L9、L1、L5和L10，其次为L3、L6和L8，而L4和L7表现最差。综上所述，海拔影响栽培唐古特大黄的性状表现，在2 016～3 763 m内，海拔越高，植株性状表现越差；较优株系L1、L2、L5、L9、L10可作为品种选育进一步研究材料。     

玉米骨干自交系京2416杂种优势及遗传重组解析

【目的】 玉米骨干自交系京2416是以（京24×5237）×京24构建基础选系群体,利用高大严及同群优系聚合等选系技术选育的优良黄改群自交系。以其为父本育成的审定品种已有20多个,其中代表性品种京农科728,突破了黄淮海夏玉米籽粒机收技术瓶颈,成为中国首批通过国家审定的机收籽粒品种。通过分析京2416与X群种质的杂种优势,及其形成过程中的重组事件和黄早四基因组片段传递规律,解析京2416形成的遗传机制,以期为黄改系的进一步遗传改良提供参考。【方法】 选用黄早四、京2416及其2个选系亲本（京24和5237）为材料,与5份X群代表性自交系根据NCII遗传设计组配杂交组合,利用F₁产量相关性状单穗粒重的中亲优势、超高亲优势值和配合力效应值评估4份黄改系的杂种优势。对4份黄改系及5份X群自交系进行测序深度约为18×的全基因组重测序,用BWA、GATK等软件进行序列比对和变异检测,基于获得的SNP和InDel标记信息,利用GCTA和Treebest软件进行主成分分析和系统发生树构建,同源传递片段（identity-by-descent,IBD）使用IBDseq软件识别。【结果】 通过比较分析黄早四、京2416、京24、5237与5份X群代表系所配杂交组合的F₁产量相关性状发现,与其他3份材料（黄改系京24、5237和黄早四）相比,京2416具有更高的超高亲优势和一般配合力。基于全基因组重测序数据,分析重现了京2416形成过程中的重组事件,明确京2416的基因组组成,选系亲本京24和5237在京2416基因组中保留的比例分别为80.96%和19.04%。利用基因组测序数据解析从黄早四到京2416的IBD片段,结果表明,京2416从京24和5237 2个选系亲本中聚合了全部的9个重要黄改系特征性选择区域。【结论】 骨干自交系京2416在遗传改良过程中,通过染色体重组聚合选系亲本京24和5237所有的9个重要黄改系特征性选择区域,从分子水平解释了京2416与X群代表系表现出更高配合力的遗传基础。     

小麦株高QTL Qph.nau-5B的效应评价

株高直接影响小麦的产量潜力,也是植株抗倒伏性的重要组成部分。目前虽有大量株高相关QTL被鉴定到,但大多QTL的遗传效应仍不清楚。本研究前期利用小麦品种群体,通过关联分析鉴定到一个小麦株高主效QTL Qph.nau-5B。为了评价该QTL的效应,通过分子标记辅助选择分别构建了以南大2419、吉春1016和郑麦9023为供体亲本,中优9507为背景的3种等位变异的近等基因系,背景回复率均高于93%。在7个独立的试验环境中,所有近等基因系的株高较轮回亲本均显著降低,平均降幅为11.1 cm(10.3%)。Qph.nau-5B不同等位变异效应强弱不同,其中来源于吉春1016和郑麦9023的等位变异平均降秆效应相似(12.4 cm),显著大于南大2419的等位变异(8.6 cm),但各等位变异相对降秆效应大小受环境影响。此外,Qph.nau-5B对单株穗数、穗长、千粒重等农艺性状无明显负效应。本研究结果表明Qph.nau-5B具有重要的育种价值,可为小麦的株型分子设计育种提供基因资源。     

农网配电线路损耗分析

配电网起着输送和分配电能的作用,线路损耗给供电企业造成很大的成本投入,降低能源的利用率。分析配电网线路损耗的原因,提出降低线路损耗的具体措施,以期为配电网节能降耗、安全运行提供参考。     

托里桉组培快繁技术初步研究

以2 a托里桉超级苗不同株系的茎段为外植体进行组培快繁研究,结果表明：适合诱导的培养基为MS改良+6-BA 0.5mg·L-1+NAA 0.1 mg·L-1;适合6号株系增殖培养基为MS改良+6-BA 0.2 mg·L-1+NAA 0.1 mg·L-1,适合7号、10号株系的增殖培养基为MS改良+6-BA 0.3 mg·L-1+NAA 0.2 mg·L-1;适当缩短继代周期是解决桉苗顶稍枯萎、上部叶片脱落等症状简单、有效的方法;适合的生根培养基为1/2MS改良+ IBA 0.2 mg·L-1+ ABT 0.6 mg·L-1,生根苗移栽成活率可达90%。     

彩色小麦近等基因系籽粒中氨基酸含量的比较分析

氨基酸是蛋白质的基本组成单位,是人体必需的重要营养物质。彩色小麦被认为是一类新型的营养保健小麦品种,但对其籽粒中氨基酸含量的研究很少。本研究首次利用高效液相色谱法比较分析了种植于三个环境中的彩色小麦近等基因系(蓝粒小麦科兴611,紫粒小麦科兴617和白粒小麦轮回亲本济麦22)籽粒中多种氨基酸的含量。结果表明,蓝粒小麦科兴611的必需氨基酸含量、非必需氨基酸含量及总氨基酸含量均显著地高于紫粒小麦科兴617和白粒亲本济麦22。紫粒小麦科兴617和白粒小麦济麦22相比,必需氨基酸含量、非必需氨基酸含量及总氨基酸含量相近,甚至低于济麦22。因此,蓝粒小麦籽粒氨基酸含量高的性状,有益于满足人类营养需求,同时可作为育种材料改良小麦品种的氨基酸含量,尤其是提高限制性氨基酸的含量,进而提高小麦的营养品质。     

蓝粒小麦育种衍生材料染色体的C带检测

本研究应用改良的C-带技术,对供试蓝粒小麦衍生后代11个株系共94个单株进行了分析检测,结果表明:94个单株中有25个单株检测到了长穗偃麦草的4 Ag染色体,导入率为26.60％.本研究结果可为蓝粒小麦育种后代的选育提供理论参考.     

多叶苜蓿自交二代农艺性状分析

多叶苜蓿(Medicago sativa L.)的形态特征与苜蓿的产量和品质有直接关系,建立多叶苜蓿自交系进一步研究评估苜蓿多叶性状的遗传特性和规律,为多叶苜蓿新品系的选育提供科学依据。筛选多叶苜蓿自交亲本,进行亲本选配,田间试验观察测量多叶苜蓿自交S2代的多叶率、株高等农艺性状,与亲本材料进行比较分析。发现多叶苜蓿自交S2代农艺性状变异较为丰富,变异系数达19.54%~55.66%,分离出单株多叶率达100%的单株,S2群体生长速率变缓,多叶性状的表达呈多样化。