Proximity Loggers: Data Handling and Classification for Quality Control
Proximity Loggers: Data Handling and Classification for Quality Control
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接近记录仪：用于质量控制的数据处理和分类
DOI：
10.1109/jsen.2011.2175215
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发表时间：
2012
影响因子：
4.3
通讯作者：
H. Kadarmideen
中科院分区：
文献类型：
--
作者：
N. Watson;C. J. O'Neill;H. Kadarmideen
近距离记录仪是一种新型的生物遥测设备，用于以非侵入性方式量化动物与动物之间的相互作用。这些数据已被用于研究一系列相互作用，从獾和牛之间的疾病传播到量化牛与小牛之间的相互作用。这种数量行为特征可用于家畜的选择性育种。通过对在粗放放牧系统中饲养的牛群发情行为研究的真实数据，我们已经确定了差的互惠协议（RA）是变异的来源。到目前为止，RA还没有得到充分的考虑或解决，并可能对旨在正确量化和解释社会行为的进一步分析产生严重影响。我们提供了一个数据库模式，用于存储由接近记录器和编程函数产生的数百万条接触记录，用于统计编程语言R，用于执行原始数据质量控制，数据导入，数据库查询和接近记录器对之间的RA分类。差的RA导致对一对记录器记录的数据缺乏信心。在最好的情况下，大量的噪声被添加到数据集中，在最坏的情况下，可能导致对动物对之间接触的高估或低估。在连续的部署中，识别和删除始终涉及差RA对的记录器可以提高记录数据的一致性和可信度。这是基于接近记录仪数据准确估计遗传参数的必要条件。
Proximity loggers are a novel biotelemetry device used for quantifying animal-animal interactions in a non-invasive way. Such data has been used for studying a range of interactions from disease spread among badgers and cattle to quantifying cow-calf interactions. Such quantitative behavioral traits could be used for the purpose of selective breeding in domesticated animals. With the use of real data, from the study of oestrus behavior in cattle populations raised in an extensive grazing system, we have identified poor reciprocal agreement (RA) as a source of variation. To date, RA has not been adequately considered or addressed and can have serious implications for further analyses aimed at correctly quantifying and interpreting social behavior. We provide a database schema for storing the millions of contact records produced by proximity loggers and programming functions, for use in the statistical programming language R, for performing raw data quality control, data import, database queries and classification of RA between proximity logger pairs. Poor RA leads to a lack of confidence in the data recorded by a pair of loggers. At best, substantial noise is added to the data set and at worst can lead to over or under estimation of contacts between pairs of animals. Over successive deployments, the identification and removal of loggers consistently involved in poor RA pairs can improve the level of agreement and confidence in the recorded data. This is a necessity for the accurate estimation of genetic parameters based on proximity logger data.
行为遗传学的终结？
DOI：
10.3724/sp.j.1041.2008.01073
发表时间：
2008
期刊：
Xin li xue bao. Acta psychologica Sinica
影响因子：
--
作者：
McGue,Matt
通讯作者：
McGue,Matt