茶氨酸合成酶基因的SNP挖掘和遗传定位

茶氨酸合成酶(Theanine synthetase,TS)基因是茶树茶氨酸代谢过程中的关键酶基因。本研究以氨基酸含量差异明显的亲本及其杂交所得F_1子代为研究材料,克隆TS基因的c DNA序列,挖掘其SNPs位点,并成功将杂合SNP位点定位在遗传连锁群上。研究结果显示,通过序列比对在亲本间检测到3个SNPs,验证得到1个杂合的位点SNP735。将此位点成功转化为dCAPS标记,该标记在子代中的基因型分离比为1∶1,利用该群体已构建的茶树遗传图谱进行遗传定位,将dCAPS标记定位在连锁群LG03上,相邻标记为TM299和TM517。联合此标记及其相邻标记与游离氨基酸总含量和茶氨酸含量进行统计分析,表明具有显著的相关性。     

Pigeonpea improvement: An amalgam of breeding and genomic research

In the past five decades, constant research has been directed towards yield improvement in pigeonpea resulting in the deployment of several commercially acceptable cultivars in India. Though, the genesis of hybrid technology, the biggest breakthrough, enigma of stagnant productivity still remains unsolved. To sort this productivity disparity, genomic research along with conventional breeding was successfully initiated at ICRISAT. It endowed ample genomic resource providing insight in the pigeonpea genome combating production constraints in a precise and speedy manner. The availability of the draft genome sequence with a large‐scale marker resource, oriented the research towards trait mapping for flowering time, determinacy, fertility restoration, yield attributing traits and photo‐insensitivity. Defined core and mini‐core collection, still eased the pigeonpea breeding being accessible for existing genetic diversity and developing stress resistance. Modern genomic tools like next‐generation sequencing, genome‐wide selection helping in the appraisal of selection efficiency is leading towards next‐generation breeding, an awaited milestone in pigeonpea genetic enhancement. This paper emphasizes the ongoing genetic improvement in pigeonpea with an amalgam of conventional breeding as well as genomic research.     

Inheritance and molecular mapping of restorer‐of‐fertility (Rf) gene in A2 hybrid system in pigeonpea (Cajanus cajan)

Inheritance of fertility restorer gene in pigeonpea was studied using F₂ and BC₁F₁ populations derived from cross AL103A × IC245273. It was found to be controlled by single dominant gene. Out of 228 SSR primer pairs, 33 primer pairs showed parental polymorphism, while four primers were found polymorphic in bulk segregant analysis (BSA). These four primers viz., CcM 1615, CcM 0710, CcM 0765 and CcM 1522 were used for genotyping of F₂ population and were found to be placed at 3.1, 5.1, 28.1 and 45.8 cM, respectively. Two of them, CcM 1615 and CcM 0710, evinced clear and unambiguous bands for fertility restoration in F₂ population. The Rf gene was mapped on linkage group 6 between the SSR markers CcM 1615 and CcM 0710 with the distances of 3.1 and 5.1 cM, respectively. The accuracy of the CcM 1615 was validated in 18 restorers and six maintainer lines. The marker CcM 1615 amplified in majority of male restorer lines with a selection accuracy of 91.66%.     

小麦芒长抑制基因B2的精细定位与候选基因分析

芒是小麦重要的穗部器官和形态特征,是小麦长期进化和适应环境的结果,对产量和抗旱性等具有重要影响。目前,对麦芒的遗传与发育还缺乏系统的研究,相关基因克隆或精细定位的研究尚未见报道。本试验利用短芒材料‘六柱头’与长芒材料‘石矮1号’构建的F2群体(SL-F2)对芒的遗传与发育进行了研究。细胞学观察表明,短芒主要是由细胞长度变短引起;遗传分析表明,‘六柱头’的短芒由显性单基因控制;借助Wheat660K SNP芯片的BSA分析和SL-F2群体的精细定位,确定‘六柱头’的芒长抑制基因是前人报道的B2位点,并将其定位到6B染色体4.84Mb的物理区间(471.28～476.12 Mb)内,该区段在中国春与矮抗58间具有良好的共线性。在B2定位区间共有61个基因,其中5个在中国春穗部特异表达,TraesCS6B02G264400在中国春和Azhurnaya幼穗表达差异显著。这些研究结果为B2基因的克隆、小麦芒形成机理的解析及育种中的应用奠定了基础。     

基于逆运动学降维求解与YOLO v4的果实采摘系统研究

为提高采摘设备的执行效率，采用六自由度机械臂、树莓派、Android手机端和服务器设计了一种智能果实采摘系统，该系统可自动识别不同种类的水果，并实现自动采摘，可通过手机端远程控制采摘设备的起始和停止，并远程查看实时采摘视频。提出通过降低自由度和使用二维坐标系来实现三维坐标系中机械臂逆运动学的求解过程，从而避免了大量的矩阵运算，使机械臂逆运动学求解过程更加简捷。利用Matlab中的Robotic Toolbox进行机械臂三维建模仿真，验证了降维求解的可行性。在果实采摘流程中，为了使机械臂运动轨迹更加稳定与协调，采用五项式插值法对机械臂进行运动轨迹规划控制。基于Darknet深度学习框架的YOLO v4目标检测识别算法进行果实目标检测和像素定位，在Ubuntu 19.10操作系统中使用2000幅图像作为训练集，分别对不同种类的果实进行识别模型训练，在GPU环境下进行测试，结果表明，每种果实识别的准确率均在94%以上，单次果实采摘的时间约为17s。经过实际测试，该系统具有良好的稳定性、实时性以及对果实采摘的准确性。     

川麦42和川农16抗穗发芽QTL定位及聚合效应分析

【目的】小麦穗发芽严重影响小麦产量和品质,是全球小麦生产面临的重大问题之一。通过鉴定挖掘抗穗发芽QTL,聚合穗发芽抗性位点,选育抗穗发芽小麦品种,为四川小麦穗发芽抗性改良提供技术和材料支撑。【方法】以川麦42/川农16重组自交系（RIL,F₈）为材料,于2016—2018年分别在2个环境下对RIL群体进行籽粒发芽指数（GI,2016和2018）、籽粒发芽率（GR,2016和2018）和整穗发芽率（SGR,2017和2018）3个穗发芽指标测定。利用90K SNP芯片构建的遗传图谱检测全基因组穗发芽相关QTL,并分析抗性QTL聚合效应。【结果】双亲间GI、GR和SGR指标值差异显著,亲本川农16穗发芽抗性明显优于亲本川麦42。共检测到11个与穗发芽抗性有关的QTL,主要分布在2B、2D、3A、3D、4A、5A、5B和6B染色体上。5B染色体上检测到的单个环境表达的整穗发芽QTL解释的表型变异率最大,达到29%;在2D和3A染色体上检测到的整穗发芽主效QTL,以及5A染色体上检测到的与种子休眠相关的籽粒发芽主效QTL,在2个环境下均能表达,其抗穗发芽等位变异均来源于川农16。基因型分析发现,RIL群体中不同株系聚合抗性QTL的数量变幅为1—9个,表现为抗穗发芽的株系均携带4—9个与穗发芽相关的抗性QTL。重组自交系群体中6个株系GI、GR和SGR值均在15%以下,表现出高抗穗发芽特性;这6个优异株系聚合了多个与穗发芽相关的抗性QTL,且均聚合了川麦42在4A染色体上的微效QTL（QGi.saas-4A和QGr.saas-4A）,以及川农16在2D和5B染色体上的主效QTL（QSgr.saas-2D和QSgr.saas-5B）;编号为104和125的优异株系已通过审定,定名为川麦104和川麦64。其中,川麦104于2012年同时通过国家和四川省审定,其抗穗发芽能力强,产量、品质、抗病等优良性状突出,聚合了7个正向穗发芽QTL,包括2B、2D和5B染色体上来源于川农16的4个抗性QTL（QGi.saas-2B、QGr.saas-2B、QSgr.saas-2D和QSgr.saas-5B）,以及4A和6B染色体上来源于川麦42的3个QTL（QGi.saas-4A、QGr.saas-4A和QGr.saas-6B）;近年来,川麦104已成为西南麦区小麦育种的核心亲本,育成小麦品种（系）18个。【结论】共检测到11个抗穗发芽QTL,其中3个来源于川麦42,8个来源于川农16;RIL群体中的抗穗发芽株系均携带4—9个抗性QTL,优异株系川麦104和川麦64高抗穗发芽,均聚合了7个穗发芽抗性QTL。     

甜瓜种皮颜色控制基因CmSC1的精细定位及候选基因分析

【目的】通过对甜瓜种皮颜色进行遗传分析及基因精细定位,并推测其候选基因和开发特异分子标记,为下一步该基因的功能研究及合理利用奠定基础。【方法】利用白色种皮材料HP22和黄色种皮材料B8、B150分别配制杂交组合,获得后代遗传分离群体并进行种皮颜色的表型调查及遗传分析,通过基因图位克隆方法完成基因的精细定位。通过对定位区间内注释基因进行编码区序列和功能分析确定关键候选目的基因。【结果】甜瓜白色种皮对黄色种皮为显性,由单显性基因CmSC1控制并表现延迟遗传效应。利用368个黄色种皮F₂单株最终将CmSC1精细定位于第5号染色体分子标记S27和S28之间物理距离约95 kb区间内,共包含12个注释基因。其中一个为拟南芥AtTT8同源的编码bHLH转录因子蛋白的MELO3C014406,经序列变异位点分析,黄色种皮材料B8和B150分别在该基因ATG下游第47位碱基处插入碱基A以及在第260位碱基处缺失14 bp导致翻译蛋白提前终止,致使后面功能结构域完全缺失,进而通过开发特异分子标记YS及序列分析,发现65份黄色种皮材料均发生这两种突变形式中的一种,推测MELO3C014406即为控制种皮颜色CmSC1的目的基因。【结论】本研究将控制种皮颜色的CmSC1精细定位于第5染色体95 kb区间内,推测MELO3C014406为最终目的基因,并开发了特异分子标记YS。     

An overview of animal science research 1945–2011 through science mapping analysis

The conceptual structure of the field of Animal Science (AS) research is examined by means of a longitudinal science mapping analysis. The whole of the AS research field is analysed, revealing its conceptual evolution. To this end, an automatic approach to detecting and visualizing hidden themes or topics and their evolution across a consecutive span of years was applied to AS publications of the JCR category ‘Agriculture, Dairy & Animal Science’ during the period 1945–2011. This automatic approach was based on a coword analysis and combines performance analysis and science mapping. To observe the conceptual evolution of AS, six consecutive periods were defined: 1945–1969, 1970–1979, 1980–1989, 1990–1999, 2000–2005 and 2006–2011. Research in AS was identified as having focused on ten main thematic areas: ANIMAL‐FEEDING, SMALL‐RUMINANTS, ANIMAL‐REPRODUCTION, DAIRY‐PRODUCTION, MEAT‐QUALITY, SWINE‐PRODUCTION, GENETICS‐AND‐ANIMAL‐BREEDING, POULTRY, ANIMAL‐WELFARE and GROWTH‐FACTORS‐AND‐FATTY‐ACIDS. The results show how genomic studies gain in weight and integrate with other thematic areas. The whole of AS research has become oriented towards an overall framework in which animal welfare, sustainable management and human health play a major role. All this would affect the future structure and management of livestock farming.     

A microwave tomographic system for wood characterization in the forest products industry

Abstract

Nondestructive testing and evaluation techniques able to extract information about the internal structure of the samples under test are very important in the wood industry. Microwave imaging systems have been considered for a long time promising apparatuses for this task. In this framework, approaches exploiting the full scattering phenomena for creating images of the distributions of the dielectric properties of the targets have been developed in the last few years. In this paper, a prototype of microwave tomographic system is presented and several experimental validation confirming its suitability for the use in the wood and forest product industry are reported.