大豆油脂脂肪酸含量与主要农艺性状的遗传相关及通径分析

选用2份吉林省主推的大豆品种,3份引自美国的低亚麻酸材料作为杂交亲本,2000年按Griffing方法2进行双列杂交,估算了5种油脂脂肪酸含量与主要农艺性状的遗传相关及对单株粒重、百粒重的通径系数.结果表明:表型相关系数与遗传相关系数非常接近.棕榈酸、硬脂酸、油酸、亚麻酸含量和百粒重的遗传相关均为正值,亚麻酸含量与百粒重呈极显著的正相关,而亚油酸含量与百粒重的遗传相关为负值,通过百粒重可以对亚麻酸和亚油酸进行间接选择.油酸、亚麻酸对单株粒重的直接效应与遗传相关的表现相一致.亚油酸对单株粒重的直接正效应主要被油酸、亚麻酸的间接负效应所掩盖,使得亚油酸的直接效应与遗传相关表现相反.棕榈酸、硬脂酸、亚油酸对百粒重的直接效应与遗传相关的表现一致.油酸、亚麻酸对百粒重的直接通径系数与遗传相关的表现不一致,主要是被亚油酸的正向效应所掩盖.因此可通过百粒重进行间接选择,以达到低亚麻酸育种目标,同时也可提高亚油酸含量.     

氮磷钾底肥对大豆蛋白质含量的效应

采用正交回归旋转设计方法,建立了氮、磷、钾肥对大豆蛋白质含量的综合作用模型.依据该模型探讨氮、磷、钾肥对大豆蛋白质含量影响的规律.氮、磷、钾肥对大豆蛋白质含量的单因素效应、二因素互作效应受到其它因素水平的影响.氮肥对蛋白质含量的影响均为负效应,降低速度随着氮肥编码值增高而加快.磷肥对蛋白质含量的作用有正有负.钾肥对蛋白质含量的作用为负效应,其降低幅度随钾的增加而提高.施尿素量为1.93～4.70g/盆,施重过磷酸钙量为8.13～20.59g/盆,施硫酸钾量为1.27～3.37g/盆,采用这个比例施肥有95%的可能使蛋白质含量高于43.5%.     

猪附红细胞体的形态学观察

应用光学显微镜和电子显微镜对猪附红细胞体显微结构和超微结构进行观察。结果显示,附红细胞体属典型的原核生物,多数为大小不等的球形、卵圆形、杆状等多形态生物体,直径为0.2μm~2.5μm,常在红细胞表面或血浆中单个或成团寄生。该病原无细胞壁,由单层界膜包裹着,无明显细胞器和细胞核。附红细胞体通过一些细丝连接到红细胞膜上,使红细胞膜表面出现皱褶、突起、凹陷,导致红细胞结构和功能改变。     

PBO与福星处理对湘南梨脱萼及其果实品质的影响

以湘南梨为试材,于盛花期喷施PBO和福星不同处理,研究PBO和福星对湘南梨脱萼果率、果实品质和单株产量的影响。结果表明：喷施浓度为300倍 PBO和6000倍福星混合处理脱萼效果差异最为显著,脱萼果率为73.90%;单独使用PBO处理脱萼率为47.60%;两种脱萼处理均能够显著提高梨果的可溶性固形物和可溶性糖的含量,增加梨果的果肉硬度,降低果形指数,改善梨果外观品质,但对梨树的单株产量的影响差异不显著。     

动物腹腔手术后粘连的成因及防制概述

就术后粘连发生的诱因、发生机理进行了阐述,并结合动物粘连模型的试验研究结果及临床研究结果,对预防腹腔手术后粘连的药物和方法进行了综述。     

Evolution of spatial structure patterns of city networks in the Yangtze River Economic Belt from the perspective of corporate pledge linkage

The pledge of stock rights is a method for measuring the external horizontal connections of enterprises, which is more suitable to represent the city network compared with the vertical connections of enterprises. Meanwhile, it is greatly significant to express the relationships of regional spaces. The paper characterizes and explores the evolution of urban spatial structure with complex network research methods to enrich the relevant works on city networks in the Yangtze River Economic Belt from 2011 to 2017. The results are as follows: First, from 2011 to 2017, the pledge of stock rights among cities was enhanced significantly, and the trend of the city networks' characteristics become strengthened and more complicated. Second, cities in the Yangtze River Delta have relatively high connection values, however, cities in the western area are holding peripheral positions within the city network. Third, due to the advantages of economic agglomeration and radiation, the provincial capital have become the core nodes in the city network. Fourth, Shanghai, Hangzhou, and Nanjing have dominant positions within city networks in the Yangtze River Economic Belt. Particularly, Shanghai, as one of the leading financial centers in China, has a growing influence on other cities and gradually evolved into a regional growth pole city and the first core city.     

Spatio-temporal dynamics of technical efficiency in China’s specialized markets: A stochastic frontier analysis approach

China’s specialized markets as a special form of bottom-up capital agglomeration have played a key role in fostering regional development. It once exhibited positive externalities with high efficiencies. However, given the rapid proliferation of specialized markets and the penetration of E-commerce, their advantages may have shifted and the understanding of this shift is limited. The paper explores the spatio-temporal dynamics of China’s specialized markets in terms of technical efficiency. Based on turnover data from Statistical Yearbooks of China Commodity Exchange Market from 2000 to 2016, technical efficiencies in specialized markets are measured by a Stochastic Frontier Analysis (SFA) approach using panel data. The results show that (a) the technical efficiencies in China’s specialized markets are significantly divergent in space over time; (b) labor input has notable effect on efficiency increase, while capital input has no significant effect; (c) informatization level, cluster size, and degree of market openness are identified to have a positive effect on specialized market’s technical efficiency. This paper argues that specialized markets should be taken seriously in the cluster evolution research. The role of proximity and the bounded links between specialized markets and their local clusters is the key to understanding their changing forms, performances, and trajectories.     

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.