Genetic analysis and QTL mapping of growth period traits and plant height traits in soybean recombinant inbred lines from Dongnong 47 × PI 317334-B

High and stable yield is the main goal of soybean genetic improvement. In this study, association analysis was used to detect the quantitative trait loci (QTL) for the plant height, and soybean growth period using 182 SSR markers in the RIL population of 136 F_4:8 lines, which developed from a cross between photoperiod-insensitive cultivar ‘Dongnong 47’ and photoperiod-sensitive variety PI317334–B. The results showed that 33 QTLs related to soybean growth period and plant height traits were detected by compound interval mapping, and were located on 12 linkage groups including N, C1, C2, J, D1a, B2, E, G, A2, O, L, I, with the contribution rate of 7.85–33.84%. These QTL loci and linkage markers related to soybean photoperiod sensitivity, would be helpful to identify key genes that control soybean photoperiod sensitivity, and provide an important basis for the breeding of new photoperiod-insensitive soybean varieties based on molecular design breeding.     

Greater humification of belowground than aboveground biomass carbon into particulate soil organic matter in no-till corn and soybean crops

Quantifying the amount of carbon (C) incorporated from decomposing residues into soil organic carbon (C_S) requires knowing the rate of C stabilization (humification rate) into different soil organic matter pools. However, the differential humification rates of C derived from belowground and aboveground biomass into C_S pools has been poorly quantified. We estimated the contribution of aboveground and belowground biomass to the formation of C_S in four agricultural treatments by measuring changes in δ¹³C natural abundance in particulate organic matter (C_POM) associated with manipulations of C₃ and C₄ biomass. The treatments were (1) continuous corn cropping (C₄ plant), (2) continuous soybean cropping (C₃), and two stubble exchange treatments (3 and 4) where the aboveground biomass left after the grain harvest was exchanged between corn and soybean plots, allowing the separation of aboveground and belowground C inputs to C_S based on the different δ¹³C signatures. After two growing seasons, C_POM was primarily derived from belowground C inputs, even though they represented only ∼10% of the total plant C inputs as residues. Belowground biomass contributed from 60% to almost 80% of the total new C present in the C_POM in the top 10 cm of soil. The humification rate of belowground C inputs into C_POM was 24% and 10%, while that of aboveground C inputs was only 0.5% and 1.0% for soybean and corn, respectively. Our results indicate that roots can play a disproportionately important role in the C_POM budget in soils. Keywords Particulate organic matter; root carbon inputs; carbon isotopes; humification rate; corn; soybean.     

东北大豆种质群体在克山的表现及其潜在的育种意义

东北是我国大豆的主要生态区,克山是东北北部重要产区。本研究于2012-2014年,以搜集到的东北地区各单位现存的361份大豆地方品种和育成品种作为东北现存的本地种质,观察该群体在克山地区的表现,研究其在克山的潜在育种意义。获得以下主要结果:(1)东北大豆种质群体平均表现为全生育期133 d(103.8~157.0 d)、蛋白质含量39.69%(35.6%~44.38%)、油脂含量20.58%(17.47%~22.84%)、蛋脂总量60.27%(54.00%~63.97%)、百粒重17.61 g(6.13~28.17 g)、株高约96 cm(54.92~146.8 cm)、主茎19节(11.23~25.83)、分枝2.75个(0.22~7.63)、倒伏2级左右(1.00~4.00);(2)当地适合熟期组为MG 0和MG I,各性状的平均值与群体平均相近,其它熟期组在当地的表现与之不同。MG 000和MG 00的生育天数集中在110~120 d,比当地无霜期早约10~20 d,不能充分利用当地的自然条件;而品质性状表现则略优于MG 0和MG I,特别是油脂含量和蛋脂总量分别高约1%、1.5%;株高、节数均低于MG 0和MG I,分别低约10~40 cm、2~8节。MG II的生育天数在当地高达150 d,不能稳定正常成熟,不适合当地种植;品质性状表现低于当地品种水平,特别是蛋白质、蛋脂总量均低约2%,油脂低约0.5%;而株高、节数高于当地品种,分别高约10 cm、2节,倒伏程度则高达3级。MG III在克山不能正常成熟,导致其它性状表达不正常,生长量和倒伏度增加;(3)根据各农艺品质性状在克山表现的遗传进度估计,虽然油脂和蛋白质含量相对小些,但均有一定的改良潜力。克山地区利用东北大豆资源育成了许多适于东北北部的优异品种,体现了东北种质的重要作用。根据当地品种的表现,从供试的东北资源中提出了各农艺、品质性状改良可用的亲本品种名单,供育种工作者参考。     

改进RBF神经网络在我国大豆价格预测中的应用研究

我国大豆价格受国内外多种因素共同影响,具有非线性、随机性和高噪音等特点,采用传统数学模型进行预测,不仅分析难度大,预测误差也很大。RBF神经网络以其优良的逼近性能而被广泛应用于非线性时间序列预测之中。本文提出一种基于遗传算法优化RBF神经网络的我国大豆价格预测模型,该模型为多维输入单维输出的多变量预测模型,模型的初始输入由大豆价格的历史数据和相关影响因素数据组成。采用遗传算法对RBF神经网络输入层节点数、基函数中心、扩展常数和输出层权值进行优化,模型可以从初始输入变量中自主选择最合适的输入变量组合作为模型的输入。采用2009-2014年的大豆价格数据进行预测研究,用2009-2013年的数据作为训练集,2014年的数据作为测试集,改进RBF神经网络通过自主识别和选取中国大豆进口量、中国消费者信心指数和进口大豆到港分销价格3个因素作为相关影响因素的输入。结果表明:模型预测精度较高、泛化能力较强,能够很好捕捉大豆价格变化规律,可为大豆市场价格的准确预报提供参考借鉴。     

吉育系列大豆品种生育期组的划分研究

为明确吉育系列大豆品种的生育期组(maturity group,MG)归属,促进不同区域间的科学引种,以15份美国大豆生育期组标准品种为对照,采用以对照品种的生育日数为参照标准和以品种的活动积温为划分标准两种方法,于2013和2014年对95份新近选育的吉育系列大豆品种进行了生育期组划分研究。结果表明:吉育系列品种生育期组介于MG0~MGⅢ组之间,居MGⅡ组的品种最多,MGⅢ组的品种最少。有89份参试材料按两种划分方法结果一致,占参试材料的93.7%;有6份参试材料的两种划分方法结果不在同一组内,占参试材料的6.3%。通过比较各生育期组品种在R1、R7和R8期的持续天数表现,验证了生育期组划分的正确性。综合两年试验结果发现,适宜吉林省大面积种植的早熟、中早熟大豆品种主要归属于MG0和MGⅠ组,中熟、中晚熟品种主要归属于MGⅡ。此研究结果为完善中国大豆生育期组划分系统和实现大豆品种布局的科学化与标准化提供了技术依据。     

甘蔗黄叶病毒与花叶病毒CP基因RNAi载体构建与转化甘蔗研究

甘蔗黄叶病和甘蔗花叶病是我国甘蔗最主要的病毒病,感病品种产量下降和品质变劣,传统方法难以防治。RNA干扰技术使培育抗病毒甘蔗品种成为可能。本研究根据甘蔗黄叶病毒和侵染甘蔗的高粱花叶病毒结构与功能特性,广泛收集不同来源病毒分离物CP基因序列,经过比对选取保守序列作为干扰序列。通过在序列两端添加酶切位点,合成并连接成双价甘蔗黄叶病和花叶病毒干扰序列,然后构建到中间载体p HANNIBAL上,形成双价RNAi干扰结构,最后插入到p ART27上形成干扰表达载体。利用基因枪轰击甘蔗品种福农15号愈伤组织进行转化,经G418筛选获得抗性再生植株。通过提取DNA和RNA分析,证实双价RNAi干扰结构不仅以不同拷贝整合到甘蔗基因组中,而且得到了转录表达。     

2014年瓮安县花卉苗木基地建设规划

文章根据省、州、县有关文件指示,通过环境立地条件分析,规划了瓮安县发展花卉苗木基地布局及方案。     

复杂疾病的遗传咨询技术

复杂疾病大面积爆发使人们的生活健康面临着重大挑战。在这一环境下,遗传咨询在人们的生活中占据了越来越重要的地位。依据基因与环境互作共同影响个体健康的原理,咨询者在遗传咨询师的指导帮助下合理解决各种遗传学问题可以有效降低复杂疾病的发病率。目前国内的遗传咨询发展尚处于萌芽期,随着遗传咨询在健康领域的地位上升,该技术在未来将会进一步推广应用。     

大豆胞囊线虫主效抗病基因Rhg4(GmSHMT)的CAPS/dCAPS标记开发和利用

大豆胞囊线虫(soybean cyst nematode,SCN)严重危害世界大豆生产,Rhg4(resistance to Heterodera glycines 4)是控制大豆SCN抗性的2个主效位点之一。本研究针对Rhg4(Gm SHMT)上的2个单核苷酸多态性(single nucleotide polymorphisms,SNP)位点开发了快速、经济、简便易行的CAPS(Rhg4-389)和d CAPS标记(Rhg4-1165),并用开发的2个标记鉴定了以大豆胞囊线虫应用核心种质为主的193份代表性抗感种质。结果表明,Rhg4-389和Rhg4-1165位点间存在显著连锁不平衡(P=0.0001,r2=0.87),可形成4种单倍型。Rhg4-389-G/Rhg4-1165-T和Rhg4-389-C/Rhg4-1165-A为优势单倍型,稀有单倍型Rhg4-389-G/Rhg4-1165-A和Rhg4-389-C/Rhg4-1165-T是在中国抗源中新发现的单倍型。结合193份种质对SCN 3号小种抗性鉴定分析发现,Rhg4-389-G和Rhg4-1165-T主要存在于抗病种质,它们形成的单倍型对抗病种质鉴定效率可达94.1%。本研究开发了可用于辅助大豆SCN抗性鉴定且方便育种家利用的CAPS/d CAPS标记,且用其摸清了应用核心种质等重要抗源在Rhg4位点的"本底",为育种家有效利用这些优异抗源提供了重要信息。     

Identification and molecular characterization of border disease virus (BDV) from sheep in India

Pestiviruses isolated from sheep and goats in India thus far have been bovine viral diarrhoea virus 1 (BVDV-1) or BVDV-2. During routine genetic typing of pestiviruses in the years 2009-10, border disease virus (BDV) was detected in eight Indian sheep of a flock showing clinical signs of BD by real time RT-PCR. All the samples yielded positive virus isolates in cell culture but were found negative by a BVDV antigen ELISA. A representative BDV isolate was characterized at genetic and antigenic level. Phylogenetic analysis carried out in 5′-UTR, N^pro and E2 regions of genome typed the Indian BDV isolate as BDV-3. A more detailed analysis in N^pro and entire region coding structural proteins showed that the N^pro (168), C (100 aa), E^rns (227 aa), E1 (195 aa) and E2 (373 aa) proteins were of size characteristic for BDV reference strain X818. Antigenic differences were evident between the BDV-3 isolate and previously reported BDV-1, BDV-5 and BDV-7 strains. Although origin of BDV-3 in India is not clear, the results reflect probable introduction through trade in sheep between India and other countries or BDV-3 may be more widely distributed. Additionally, this study suggests that for diagnosis of BDV infection, the commercial BVDV Ag-ELISA should be used with caution. This is the first identification of BDV in sheep in India which highlights the need for continued pestivirus surveillance and assessing its impact on sheep and goat production.