Modeling of Biofuel Plants Phenotyping and Biomass
A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Modeling".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 526
Special Issue Editor
2. Center for Agricultural Synthetic Biology, University of Tennessee, Knoxville, TN 37996, USA
3. Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
4. Department of Environmental and Geoscience, Sam Houston State University, Huntsville, TX 77340, USA
Interests: mapping; satellite image analysis; satellite image processing; spatial analysis
Special Issue Information
Dear Colleagues,
Several perennial and annual crops have been considered as leading candidates for bioenergy production. The favorable traits, such as high biomass production, wide adaptation, and low agronomic input requirements, are highly associated with a desirable bioenergy feedstock. Increased productivity and sustainability of plant feedstocks in bioenergy crops are key factors for biofuel production. Factors affecting plant quality and performance can be broadly attributed to plant genetics and the growing environment. However, phenotyping resources have created a bottleneck in biofuel crop improvement and breeding. Advances in developing high-throughput phenotyping tools and techniques are essential for characterizing aboveground and belowground phenes to achieve sustainable growth of biofuel crops. Moreover, novel high-throughput approaches are needed to better understand the association between genotypes and phenotypes and to accelerate plant breeding. Research on this topic is important to fight against climate/ecosystem changes, leading to climate-smart or eco-efficient agriculture.
We encourage original research, methods, and review articles to address the broad range of topics from a data-driven approach, including, but not limited to:
- Perspectives of biofuel plant phenomics;
- Big data challenges for genomics and phenotyping data;
- High-throughput phenotyping: tools and techniques for assessment;
- Genomic selection in biofuel crops: Benefits of high throughput phenotyping;
- Precision agriculture association with high throughput biofuel plant phenotyping;
- Biomass quantity/quality assessment;
- Biotic/abiotic stress assessment;
- Sustainability trait assessment.
Dr. Yaping Xu
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- biofuel
- bioenergy
- biomass
- phenotyping
- phenomics
- AI and machine learning
- image analysis
