中科新闻网wifredo lam:有实力的来翻
来源：百度文库 编辑：中科新闻网 时间：2024/04/29 16:26:55
Integration of data from the plate- and soil-based analysis platforms into a single database enables the discovery of morphological and/or developmental mutations that occur at any growth stage during the life cycle of the plant. This unified data set, particularly when coupled with gene expression profiling and metabolic profiling data produced from tissues harvested at the corresponding growth stages, provides the opportunity to perform multivariate statistical analyses and positions the investigator to identify correlative relationships among highly diverse traits at different stages of growth. Thus, it may be possible to identify easily measured and highly reproducible traits that can serve as surrogates for more difficult to measure or more variable traits, such as yield. Ultimately, these surrogate traits may be tested for validity in crop species and developed as transgenic products or as tools to aid in conventional breeding programs.
The data collection process presented here is amenable to high throughput implementation. The limited amount of effort required for first-phase data collection facilitates the rapid determination of growth stages. Focusing on a subset of growth stages for the second-phase data collection reduces the overall effort while maintaining the ability to detect alterations in many different traits. Staggered sowings can be used to prevent all of the plants in a study from reaching growth stages for detailed analysis simultaneously, thereby allowing the analysis of many samples in parallel. In addition, the standardized rules used in growth stage determination can readily be modeled in a computer application, enabling the creation of an interface that can be used to streamline the data collection process.
The growth stages and data collection methodology presented here can serve as a powerful means to unify the collection of phenotypic data. Reporting the growth stage during which data were obtained can provide an explicit developmental context for comparative purposes and enhance the value of data for future investigations.
The data collection process presented here is amenable to high throughput implementation. The limited amount of effort required for first-phase data collection facilitates the rapid determination of growth stages. Focusing on a subset of growth stages for the second-phase data collection reduces the overall effort while maintaining the ability to detect alterations in many different traits. Staggered sowings can be used to prevent all of the plants in a study from reaching growth stages for detailed analysis simultaneously, thereby allowing the analysis of many samples in parallel. In addition, the standardized rules used in growth stage determination can readily be modeled in a computer application, enabling the creation of an interface that can be used to streamline the data collection process.
The growth stages and data collection methodology presented here can serve as a powerful means to unify the collection of phenotypic data. Reporting the growth stage during which data were obtained can provide an explicit developmental context for comparative purposes and enhance the value of data for future investigations.
数据的综合化从板材和基于土壤的分析平台入一个唯一数据库使能发现在形态上和或发生在任何个成长阶段在植物期间的生命周期的发展变化。 这个统一的数据集, 特别当结合与基因表达描出和新陈代谢的描出的数据由组织生产了被收获在对应的成长阶段, 提供机会执行多维分布的统计分析和安置调查员辨认相关关系在高度不同的特征之中在成长不同的阶段。 因而, 它也许是可能辨认可能起代理人作用对于更难测量或更加易变的特征容易地的被测量的和高度可再生特征, 譬如出产量。 最后, 这些代理人特征也许被测试为有效性在庄稼种类和被开发作为transgenic 产品或作为工具援助在常规育种的节目。
搜集数据过程被提出这里是顺应的对高生产量实施。 有限的相当数量努力必需为一阶段搜集数据促进成长阶段的迅速决心。 集中于一个子集成长阶段为二阶段搜集数据减少整体努力当维护能力查出改变在许多不同的特征。 摇摆的播种可能被使用防止所有植物在研究中同时到达成长阶段为详细的分析, 因此允许对许多样品的分析平行。 另外, 规范化的规则被使用在成长阶段决心可能欣然被塑造在计算机应用, 使能可能被使用简化搜集数据过程接口的创作。
成长阶段和搜集数据方法学被提出这里可能为作为强有力的手段服务成一体显形数据的汇集。 报告期间数据被获得的成长阶段在可能为比较目的提供明确发展上下文和提高数据的价值为未来调查。