改良作物育种性状跟踪系统

Basheija Henry, Rehema Baguma
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引用次数: 0

摘要

植物育种涉及到一系列技术的应用,目的是把父母的优良性状结合起来,使后代获得更好的作物。植物育种中的杂交选育能够显著提高作物的产量和抗病虫害能力。作物育种研究计划的效率取决于育种家和遗传学家在尽可能短的时间内有效和高效地创建、识别、存储、跟踪和选择具有最多理想性状的重组基因型的能力。这是不容易做到的,因为所有研究机构所产生的大量数据中都有储存和管理信息的手工系统。对于研究人员来说,在海量数据中定位文件是一个冗长而耗时的过程。在农业研究机构中,跟踪研究数据的需求变得越来越重要。考虑到需要改进改良作物育种期间收集的研究数据的储存、跟踪和传播,设想了一项研究。它是在乌干达的国家农业研究实验室(NARL)进行的,目的是开发一个跟踪育种记录的系统。其动机是,由于气候不断变化以及人口压力和土壤肥力丧失等其他社会经济变化,越来越需要开发高产且有抗灾能力的作物品种。采用不同的设计方法,包括数据流图(dfd)和实体关系图(ERDs)。ERD用于识别要捕获、存储和检索的数据,以支持在归档和跟踪文件的过程中执行的活动。因此,以应用程序工具的形式开发了一个育种跟踪系统,该系统能够管理文件的创建和移动,并跟踪处理这些文件的人员在办公桌之间的文件的原创性。开发的系统支持科学家之间的信息共享,也便于获取有关改良作物优良性状的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
System for Tracking Breeding Traits of Improved Crops
Plant breeding involves application of a collection of techniques aimed at bringing together good parents’ traits to generate a better crop in the progeny. Cross-breeding and selection in plant breeding has been able to considerably improve yields and pest and disease resistance of crops. Efficiency in crop breeding research programs depends upon the ability of breeders and geneticists to effectively and efficiently create, identify, store, track and select recombinant genotypes with a maximum number of desirable traits in the shortest time possible. This was not easily possible with the manual system for storage and management of information lying in large volumes of data generated in all research institutions. Locating files among tons of data is a tedious and time-consuming process for researchers. The need to keep track of research data is significantly becoming important in agricultural research institutions. A study was conceived in response to the need to improve the storage, tracking and dissemination of research data collected during the breeding of improved crops. It was conducted to develop a system for tracking breeding records, at the National Agricultural Research Laboratories (NARL) in Uganda. This was motivated by the increasing need to develop high yielding yet resilient crop varieties due to the constantly changing climate amid other socio-economic changes like population pressure and loss of soil fertility. Different methods were used to design the system which included Dataflow Diagrams (DFDs) and Entity Relationship Diagrams (ERDs). An ERD was used to identify the data to be captured, stored and retrieved in order to support the activities performed in the process of filing and tracking files. As a result, a breeding tracking system was developed in form of an application tool that is able to manage the creation and movement and tracking the originality of files from desk to desk of personnel who work on them. The developed system supports information sharing between scientists as well as easy access to information about good traits in improved crops.
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