Recent Developments for Integrating Multi-Omics Data into Prediction Models for Plant Breeding Applications
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Crop Breeding and Genetics".
Deadline for manuscript submissions: closed (20 June 2021) | Viewed by 4545
Special Issue Editor
Interests: statistics; genomic prediction; model development for genotype by environmental interaction for genomic prediction; digital agriculture
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear colleagues,
Recent developments of technologies that produce molecular and multi-omics data enabled us to collect information on living organisms that were not available before. With this set of information (e.g. high-throughput phenotyping and genotyping, weather information, soil characterization, biotic and abiotic factors, management, etc.), we have the potential to better understand the agronomically important traits and use them for prediction purposes. The ultimate goal of plant breeding is to increase the genetic gain, and the integration of these technologies can enable us to achieve this by improving the precision of selection. However, the integration of these multi-omics data is not trivial and can cause a bottleneck in leveraging the availability of these sources of information for selection purposes.
In this special issue, we invite original research studies, review articles and other types of articles related to the integration of multi-omics data to improve existing methods for accelerating the breeding cycles and enhance selection procedures.
Dr. Reka Howard
Guest Editor
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