دورية أكاديمية

Integrating omics databases for enhanced crop breeding

التفاصيل البيبلوغرافية
العنوان: Integrating omics databases for enhanced crop breeding
المؤلفون: Chao Haoyu, Zhang Shilong, Hu Yueming, Ni Qingyang, Xin Saige, Zhao Liang, Ivanisenko Vladimir A., Orlov Yuriy L., Chen Ming
المصدر: Journal of Integrative Bioinformatics, Vol 20, Iss 4, Pp 235-61 (2023)
بيانات النشر: De Gruyter, 2023.
سنة النشر: 2023
المجموعة: LCC:Biotechnology
مصطلحات موضوعية: crop plant breeding, data integration, databases, omics, plant biology, Biotechnology, TP248.13-248.65
الوصف: Crop plant breeding involves selecting and developing new plant varieties with desirable traits such as increased yield, improved disease resistance, and enhanced nutritional value. With the development of high-throughput technologies, such as genomics, transcriptomics, and metabolomics, crop breeding has entered a new era. However, to effectively use these technologies, integration of multi-omics data from different databases is required. Integration of omics data provides a comprehensive understanding of the biological processes underlying plant traits and their interactions. This review highlights the importance of integrating omics databases in crop plant breeding, discusses available omics data and databases, describes integration challenges, and highlights recent developments and potential benefits. Taken together, the integration of omics databases is a critical step towards enhancing crop plant breeding and improving global food security.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1613-4516
Relation: https://doaj.org/toc/1613-4516
DOI: 10.1515/jib-2023-0012
URL الوصول: https://doaj.org/article/7597c55dff6e4ebbb0fe8ebd285d7561
رقم الأكسشن: edsdoj.7597c55dff6e4ebbb0fe8ebd285d7561
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16134516
DOI:10.1515/jib-2023-0012