Improvement of edible bananas (a triploid and sterile crop) through conventional breeding is a challenging task owing to its recalcitrant nature for seed set, prolonged crop duration. In addition, the need of huge man power at different stages of progeny development and evaluation often leads to mislabeling, poor data management and loss of vital data. All this can be overcome by the application of advanced information technology source. This ensured secure and efficient data management such as storage, retrieval and data analysis and further could assist in tracking the breeding status in real time. Thus, a user-friendly web-based banana breeding tracker (BBT) has been developed using MySQL database with Hypertext Preprocessor (PHP). This BBT works on all operating systems with access to multiple users from anywhere at any time. Quick responsive (QR) code labels can be generated by the tracker, which can be decoded using QR scanner. Also for each and every updated progress in breeding stages, a new QR code can be generated, which in turn reduce labeling errors. Moreover, the tracker has additional tools to search, sort and filter the data from the data sets for efficient retrieval and analysis. This tracker is being upgraded with phenotypic and genotypic data that will be made available in the public domain for hastening the banana improvement program.

中文翻译：

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通过数据数字化加强香蕉育种。

通过常规育种改良可食香蕉（三倍体和不育作物）是一项艰巨的任务，因为其对结实种子的顽固性，延长了作物的持续时间。另外，在子代发育和评估的不同阶段需要巨大的人力，这经常导致贴错标签，不良的数据管理和重要数据的丢失。所有这些都可以通过应用高级信息技术资源来克服。这确保了安全有效的数据管理，例如存储，检索和数据分析，并且还可以帮助实时跟踪育种状态。因此，已经使用MySQL数据库和超文本预处理器（PHP）开发了一种基于用户友好的基于Web的香蕉育种跟踪器（BBT）。该BBT可在所有操作系统上运行，并且可以随时随地访问多个用户。跟踪器可以生成快速响应（QR）代码标签，可以使用QR扫描仪对其进行解码。同样，对于育种阶段的每个更新进度，都可以生成一个新的QR码，从而减少了贴标错误。此外，跟踪器还具有其他工具，可以从数据集中搜索，排序和过滤数据，以进行有效的检索和分析。该跟踪器正在使用表型和基因型数据进行升级，这些数据将在公共领域提供，以加速香蕉改良计划。从数据集中对数据进行排序和过滤，以进行有效的检索和分析。该跟踪器正在使用表型和基因型数据进行升级，这些数据将在公共领域提供，以加速香蕉改良计划。从数据集中对数据进行排序和过滤，以进行有效的检索和分析。该跟踪器正在使用表型和基因型数据进行升级，这些数据将在公共领域提供，以加速香蕉改良计划。