Kronecker积在分析多因子非平衡实验中的应用

以Kroneckert积和效应矩阵为工具,阐明了一种分析多因子缺值实验的严格、有效、方便的新方法。     

The Relation Between Growth of Gastrodia elata Protocorms and Fungi

Armillaria mellea penetrated protocorms from seed germination and vegetative multiplication corms of Gastrodia elata with rhizomorph. At beginning, they formed a hypha passing road and a hypha flow in the inner cells of cortex, and then, they both penetrated inside of large cells and penetrated outside of cortical cells. Gastrodia elata seeds depended on digesting Mycenct osmundicola etc gain nutrition to germinate at the stage of sexual reproduction, but its corms of vegetative multiplication must be penetrated by Armillaria mellea obtaining nutrition for normal growth at the stage of vegetative propagation.     

生物多样性相关传统知识调查与评估: 以澜沧与康定两县域为例

本研究依据《县域生物多样性相关传统知识调查与评估技术规定》, 调查评估了云南省澜沧县和四川省康定市两县域生物多样性相关传统知识的分布数量与特征, 分析了传统知识保护与传承状况, 识别了主要受威胁因素和保护空缺, 旨在为我国传统知识保护和民族地区实施传统知识获取与惠益分享制度提供科学依据, 推动《生物多样性公约》与《名古屋议定书》等国际公约的履行。研究结果如下: 分别调查编目澜沧县、康定市的生物多样性相关传统知识145项、98项; 这些传统知识具有明显的地区气候与自然环境特征、生产生活实践特征、传统文化特征和地区社会经济特征; 相关部门在传统知识保护管理方面做出了积极努力, 同时包括习惯法、传统节庆等传统文化和包括祭祀、神山、神林等宗教方式在内的地方社区行动在传统知识保护与传承方面也发挥了重要作用; 生物多样性相关传统知识、创新和做法已被广泛应用于地方社区脱贫攻坚和产业发展; 传统知识保护立法仍不健全、受到威胁、保护意识薄弱及承载传统知识的生物资源减少是制约传统知识保护传承的主要因素。两县域生物多样性相关传统知识丰富, 并且地方社区有效参与了生物多样性相关传统知识的保护与可持续利用。今后应建立传统知识获取与惠益分享国家制度; 加强宣传教育, 提升保护传承意识; 因地制宜开展传统知识保护; 推动传统知识相关生物资源的保护与可持续利用。     

Use of inexpensive pressure transducers for measuring water levels in wells

Frequent measurement of below ground water levels at multiple locations is an important component of many wetland ecosystem studies. These measurements, however, are usually time consuming, labor intensive, and expensive. This paper describes a water-level sensor that is inexpensive and easy to construct. The sensor is placed below the expected low water level in a shallow well and, when connected to a datalogger, uses a pressure transducer to detect groundwater or surface water elevations. Details of pressure transducer theory, sensor construction, calibration, and examples of field installations are presented. Although the transducers must be individually calibrated, the sensors have a linear response to changing water levels (r ² .999). Measurement errors resulting from temperature fluctuations are shown to be about 4 cm over a 35°C temperature range, but are minimal when the sensors are installed in groundwater wells where temperatures are less variable. Greater accuracy may be obtained by incorporating water temperature data into the initial calibration (0.14 cm error over a 35C temperature range). Examples of the utility of these sensors in studies of groundwater/surface water interactions and the effects of water level fluctuations on tree growth are provided.     

常见寿命数据类型及生命表的编制方法

生命表是描述种群死亡过程的有用工具,介绍了4种常见的寿命数据类型;寿终数据,右删失数据,左删失数据和区间型数据特征及其相应的数据分析处理方法即生命表法,乘积限估计和Turbull估计法,对生命表法和乘积限估计法应用上的特点进行了比较,同时还对特殊的寿命数据类型－－截断数据做了简要介绍。     

DeviaTE: Assembly‐free analysis and visualization of mobile genetic element composition

Transposable elements (TEs) are selfish DNA sequences that multiply within host genomes. They are present in most species investigated so far at varying degrees of abundance and sequence diversity. The TE composition may not only vary between but also within species and could have important biological implications. Variation in prevalence among populations may for example indicate a recent TE invasion, whereas sequence variation could indicate the presence of hyperactive or inactive forms. Gaining unbiased estimates of TE composition is thus vital for understanding the evolutionary dynamics of transposons. To this end, we developed DeviaTE, a tool to analyse and visualize TE abundance using Illumina or Sanger sequencing reads. Our tool requires sequencing reads of one or more samples (tissue, individual or population) and consensus sequences of TEs. It generates a table and a visual representation of TE composition. This allows for an intuitive assessment of coverage, sequence divergence, segregating SNPs and indels, as well as the presence of internal and terminal deletions. By contrasting the coverage between TEs and single copy genes, DeviaTE derives unbiased estimates of TE abundance. We show that naive approaches, which do not consider regions spanned by internal deletions, may substantially underestimate TE abundance. Using published data we demonstrate that DeviaTE can be used to study the TE composition within samples, identify clinal variation in TEs, compare TE diversity among species, and monitor TE invasions. Finally we present careful validations with publicly available and simulated data. DeviaTE is implemented in Python and distributed under the GPLv3 ( https://github.com/W-L/deviaTE ).     

Statistical techniques for detection of major genes in animal breeding data

Summary Statistical techniques for detection of major loci and for making inferences about major locus parameters such as genotypic frequencies, effects and gene action from field-collected data are presented. In field data, major genotypic effects are likely to be masked by a large number of environmental differences in addition to additive and nonadditive polygenic effects. A graphical technique and a procedure for discriminating among genetic hypotheses based on a mixed model accounting for all these factors are proposed. The methods are illustrated by using simulated data.Journal Paper No. J-12733 of the Iowa Agriculture and Home Economics Experiment Station, Ames, Iowa. Project No. 1901     

脑片诱发电位计算机处理系统及其使用实例

用计算机处理脑片诱发电位可大大提高数据处理效率和信息提取率,并使大量、连续观察成为可能,本系统数据采集板与计算机之间采用DMA方式进行数据传送,包括采样子程序在内的全部处理程序均用高级BASIC语言编写,文中介绍了该程序各项功能和有关编程技巧以及海马脑片实验中的应用实例。     

Testing the correlation for clustered categorical and censored discrete time-to-event data when covariates are measured without/with errors

In the analysis of clustered categorical data, it is of common interest to test for the correlation within clusters, and the heterogeneity across different clusters. We address this problem by proposing a class of score tests for the null hypothesis that the variance components are zero in random effects models, for clustered nominal and ordinal categorical responses. We extend the results to accommodate clustered censored discrete time-to-event data. We next consider such tests in the situation where covariates are measured with errors. We propose using the SIMEX method to construct the score tests for the null hypothesis that the variance components are zero. Key advantages of the proposed score tests are that they can be easily implemented by fitting standard polytomous regression models and discrete failure time models, and that they are robust in the sense that no assumptions need to be made regarding the distributions of the random effects and the unobserved covariates. The asymptotic properties of the proposed tests are studied. We illustrate these tests by analyzing two data sets and evaluate their performance with simulations.