Open source application development for phenotypical data acquisition
Open source application development for phenotypical data acquisition
复制标题
表型数据采集的开源应用程序开发
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Chaney Courtney
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文献类型：
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作者：
Chaney Courtney
州立大学（堪萨斯State University）的波兰实验室（Poland Lab）研究了小麦的遗传学，“以培育出一种能够抵御不断上升的高温和干旱的气候适应性小麦品种”。随着人口和粮食需求的增加，加快粮食增长的需求迫在眉睫。在之前的一组Android应用程序中，Field book已经表明，使用开源应用程序开发可以通过世界各地的现代化植物育种来增加粮食开发。这对于预算有限且Android移动的设备市场不断增长的各个国家尤其有用。 本报告中描述的应用程序包括：Verify，一个条形码扫描应用程序，可以快速确认是否在数据库中找到各种种子标识符，Field Mapping，一个识别整个农田中各个地块段的应用程序，最后，Survey，一个手动输入纬度和经度数据的应用程序。这三个应用程序和服务打开了一个新的开源领域，用于获取农田数据，以配合植物育种者的研究。
The Poland Lab at Kansas State University studies the genetics of wheat ‘to develop a climate-resilient wheat variety that can combat rising heat and drought.’ With populations and food demand rising the need for accelerated food growth is imminent. A previous group of Android applications, Field book has shown that the use of open source app development could create a segue to increasing food development through modernized plant breeding across the world. This is especially useful to various countries that may have a limited budget and have a rising market for Android mobile devices. The applications described in this report include: Verify, a barcode scanning application that can quickly confirm if various seed identifiers are found within a database, Field Mapping, an application that identifies individual plot segments throughout farmland and finally, Survey, an application for manual input of latitude and longitude data. These three applications and services open a new open-source domain for acquisition of data on farmlands to accompany the research of plant breeders.